Circulating levels of MCP-1, VEGF-A, sICAM-1, sVCAM-1, sE-selectin and sVE-cadherin: Relationship with components of metabolic syndrome in young population

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=> "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Concentraciones circulantes de MCP-1, VEGF-A, sICAM-1, sVCAM-1, sE-selectina y sVE-cadherina: su relación con componentes del síndrome metabólico en población joven" ] ] "textoCompleto" => "IntroductionMetabolic syndrome (MetS) is characterized by the presence of multiple cardiovascular risk factors which include abdominal obesity, dyslipidemia, impaired glucose and elevated blood pressure maintaining a prothrombotic and inflammatory state,<a class="elsevierStyleCrossRefs" href="#bib0230">1,2</a> in a interrelationship with other traditional factors such as stress, smoking, sedentary lifestyle, age and ethnic origin.<a class="elsevierStyleCrossRef" href="#bib0240">3</a> The prevalence of the clinical-metabolics alterations, components of MetS has increased in the last few years as a consequence of overweight and the obesity in mexican population.<a class="elsevierStyleCrossRef" href="#bib0245">4</a>The expression of inflammatory cytokines and cellular adhesion molecules characteristic of endothelial dysfunction has been related with obesity, MetS<a class="elsevierStyleCrossRef" href="#bib0250">5</a> and type 2 diabetes (DT2).<a class="elsevierStyleCrossRef" href="#bib0255">6</a> The inflammation have a central role in the pathogenesis of MetS and the mediation of its impact in the development of cardiovascular disease.<a class="elsevierStyleCrossRef" href="#bib0250">5</a> The search for biomarkers of inflammation, endothelial damage and cardiovascular disease could be important in the identification of early metabolic dysfunction associated with components of MetS.<a class="elsevierStyleCrossRef" href="#bib0260">7</a>Worldwide prevalence of MetS is present in one fourth of the population.<a class="elsevierStyleCrossRef" href="#bib0265">8</a> In Mexico, it has been reported a prevalence of 26.6% of MetS in the population from 20 to 70 years old.<a class="elsevierStyleCrossRefs" href="#bib0270">9,10</a> However, others studies carried out in young adult population show the prevalence has increased from of 15.8%,<a class="elsevierStyleCrossRef" href="#bib0280">11</a> to 41.1%,<a class="elsevierStyleCrossRef" href="#bib0285">12</a> and 73.8%.<a class="elsevierStyleCrossRef" href="#bib0290">13</a> The definition of MetS in adult population is subjected to the criteria established by the Adult Treatment Panel III (ATP-III) of the National Cholesterol Education Program (NCEP).<a class="elsevierStyleCrossRef" href="#bib0295">14</a> However, it has been recently modified including the definition values of the perimeter of waist referred to the different ethnic groups given that has been demonstrated that the grades of obesity start to increase the risk of other complications, are distinct in the different ethnic groups, especially in individuals from Asian origin.<a class="elsevierStyleCrossRef" href="#bib0300">15</a> Mexican population represent a mestizo population with an important native American and Asian component, the consideration of the new criteria in the definition of MetS must be used to help identify appropriately the people with MetS, in order to better define the nature of the syndrome and insist in the strategy of to modify their life style and therapies that can to help reduce the risk of ECV and DT2. In the current study, we examined the association between endothelial dysfunction molecules and inflammation cytokines with components of the metabolic syndrome in young population.Materials and methodsSubjectsThis study was carried out in 2013 and 2014 in Guerrero State, located in southern Mexico. Total population of 240 young students (96 men and 144 women) with ages 18–28 years old were analyzed. The enrolled students were from the Universidad de Guerrero. All participants gave their informed written consent. Approval for the study was obtained from the Research Ethics Committee of the Universidad de Guerrero.Data collectionAll participants were given a survey of sociodemographic characteristics, anthropometric and clinical-metabolic parameters were also determined, the circulating levels of the molecules of inflammation and endothelial dysfunction were measured. Their body composition was evaluated in light clothing and without shoes using bioelectrical impedance technique with Tanita TFB-300 GS (Tanita Corporation, Arlington Heights, IL, USA) to assess weight, BMI, body fat percentage (%), and total body fat (kg). Height was determined using a portable stadiometer (Seca 240, Hamburg, Germany). Waist circumference (WC) was measured at the level of the umbilicus, with the subject standing. Hip girth was measured at the maximum circumference of the buttocks. The body circumferences were measured by duplicated using a measuring tape with an accuracy of ±0.1cm (Seca 201, Hamburg), elevated waist circumference was defined ≥90cm in men, ≥80cm in women.Abdominal obesity, obesity, hypertension and clinical metabolic alterations were classified in accordance with the Adult Treatment Panel III criteria recommendations for Asian-American population.<a class="elsevierStyleCrossRef" href="#bib0230">1</a> In addition; the blood pressure was measured twice using the right arm of the participants seated for at least 5min. Two consecutive measures were obtained at 5-min intervals using a baumanometer (HEM-712C, Omron). Overnight fasting blood sample were obtained to measure total cholesterol, high density lipoprotein-cholesterol (HDL-c), low density lipoprotein-cholesterol (LDL-c), triglycerides and fasting glucose levels, analyzed by enzymatically and colorimetric assay using semiautomatic equipment SPINREACT (SPINLAB).Monocyte-chemoattractant-protein-1 (MCP-1), vascular endothelial growth factor-A (VEGF-A), soluble intercellular adhesion molecule-1 (sICAM-1), soluble vascular cell adhesion molecule-1 (sVCAM-1), soluble E-selectin (sE-selectin) and soluble vascular endothelial cadherin (sVE-cadherin) were measured by an ELISA assay (eBioscience, North America and Europe of according to the manufacturer's instructions), with a sensitivity of 2.3pg/mL (MCP-1), 7.9pg/mL (VEGF-A), 0.33ng/mL (sICAM-1), 0.6ng/mL (sVCAM-1), 0.3ng/mL (sE-selectin) and 0.10ng/mL (sVE-cadherin) employed the quantitative sandwich enzyme immunoassay technique. All determinations and calibrations were carried out by duplication. The absorbance was measured in a spectrophotometer (TECAN Minilyser equipment) at a wavelength of 450–620nm.DefinitionsAnthropometric measures, clinic and metabolic alterations and MetS were defined according to the modified Adult Treatment Panel III recommendations for Asian American.<a class="elsevierStyleCrossRef" href="#bib0230">1</a> Individuals were considered to have MetS if they had three or more of the following risk factors: elevated waist circumference (≥90cm in men, ≥80cm in women), elevated triglycerides (≥150mg/dL), reduced HDL cholesterol (<40mg/dL in men, <50 in women), elevated blood pressure (≥130mmHg systolic blood pressure or ≥85mmHg diastolic blood pressure) or elevated fasting glucose (≥100mg/dL). Additionally molecules levels were analyzed according to normal weight, defined by BMI<23kg/m2 and obesity BMI≥25kg/m2.Statistical analysisData was codified and capture in a database using STATA software (v.9.2). The categorical variables were compared by chi-square test, and prevalence and frequencies are expressed in percent. Descriptive analysis included the estimation of median, 5th to 95th percentiles for nonsymmetrical variables, and determining significant differences among the groups using Mann–Whitney U test. The linear relationship among covariates was determined using Spearman's correlation coefficient. p value<0.05 was considered statistically significant.Logistic regression was used to determine the association among components of metabolic syndrome and levels of molecules. Cutoff of the molecules were categorized by tertiles, third tertile was considered risk category: MCP-1 (>290pg/mL), VEGF-A (>170pg/mL), sICAM-1 (>450ng/mL), sVCAM-1 (>707ng/mL), sE-selectin (>83ng/mL) and sVE-cadherin (>1.83ng/mL), levels under the third tertile were used as the reference category.ResultsA total of 240 young students were evaluated, 44.58% showed obesity and more than 59.83% presented abdominal obesity. A 6.33% and 7.17% of the population had blood pressure altered systolic and diastolic. Only 5.0% showed impaired glucose. 49.58% had low HDL cholesterol and 16.67% impaired triglycerides. A prevalence of 16.25% of MetS was found (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).<elsevierMultimedia ident="tbl0005"></elsevierMultimedia>This study shows that levels of MCP-1, sICAM-1 and sE-selectin were associated with an increase and the presence of obesity. Increased levels of MCP-1 and sE-selectin in presence of abdominal obesity were observed, while increasing levels of sICAM-1 and sVE-cadherin were observed in impaired SBP. Another component associated with high levels of sVE-cadherin was low HDL-c. Although VEGF-A was associated with impaired triglycerides. However the presence of MetS was not directly associated with high levels of some of the biomarkers (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>).<elsevierMultimedia ident="tbl0010"></elsevierMultimedia><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows a lineal relation of circulating levels of biomarkers with anthropometric, clinical and metabolic parameters. The levels of MCP-1, sICAM-1 and sE-selectin were correlated with weight, waist circumference, hip circumference, BMI and body fat. sICAM-1 and sE-selectin were related to an increment of triglycerides (r=0.19; p=0.046; r=0.27; p=0.004, respectively). While the levels of sVE-cadherin does not demonstrate an association with the anthropometric measures they have a relation with the levels of HDL (r=−0.23; p=0.017) and total cholesterol (r=−0.29; p=0.002). Though, the relation between MCP-1 levels with VEGF-A, sE-selectin and sVE-cadherin levels was showed. VEGF-A correlates with sE-selectin, meanwhile the levels of sICAM-1 relate with sVE-cadherin levels (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).<elsevierMultimedia ident="tbl0015"></elsevierMultimedia>Moreover, it can be observed that the young with levels of MCP-1 and sE-selectin up to third tertiles showed higher waist (98.0 vs 85cm; p=0.025), as well as triglycerides in relation to sE-selectin (103.0 vs 88.0mg/dL; p=0.017). The young adults with levels higher than the third tertiles of sICAM-1 demonstrated higher levels of triglycerides (92.0 vs 82.5mg/dL; p=0.002) and systolic blood pressure (111.0 vs 105mmHg; p=0.026). In a model adjusted for age and gender the association between the presence of MetS components and the circulating levels in the third tertiles vs the values under this tertil was showed, the presence of abdominal obesity (OR=1.83; p=0.04) and two clinical-metabolic alterations (OR=3.86; p=0.002) were associated with increased levels of MCP-1 (>290pg/mL). The presence of abdominal obesity (OR=2.03; p=0.013), one and two clinical and metabolic abnormalities (OR=2.51; p=0.026; OR=3.21; p=0.006, respectively) were associated with increased levels of VEGF-A (>170pg/mL). The presence of altered systolic blood pressure was associated with the increased levels of sICAM-1 (>450ng/mL) (OR=4.04; p=0.02), impaired glucose (OR=4.74; p=0.017) demonstrating an association with an increment in the levels of sVCAM-1 (>707ng/mL). The presence of low HDL-c (OR=1.99; p=0.03) was associated with increased levels of sE-selectin (>83ng/mL), while impaired triglycerides (OR=0.34; p=0.03) and altered systolic blood pressure (OR=6.28; p=0.003) were associated with increased levels of sVE-cadherin (>1.83ng/mL) (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>).<elsevierMultimedia ident="tbl0020"></elsevierMultimedia>DiscussionIn this study, we found that nearly half of the population presented obesity. Around 60% demonstrated abdominal obesity, accompanied with low levels of HDL-c (49.58%) and elevated triglycerides (16.67%). 6.33% and 7.17% of the population demonstrated altered systolic and diastolic blood pressure and only 5% presented altered levels of glucose. In a similar means it has been reported by the Nutrition and Health National Survey 2012, an elevated prevalence of overweight and obesity in Mexican population in an age range from 20 to 29 years old, as well as an elevated prevalence of MetS components.<a class="elsevierStyleCrossRefs" href="#bib0245">4,16</a> The life style, the socioeconomic status, the physical inactivity and changing eating–habits are the main factors that favor the presence of obesity and metabolic alteration that increase the cardiovascular risk in the Mexican population.In this study the prevalence of the metabolic syndrome was 16.25%, in concordance to a similar prevalence has been reported in Chinese.<a class="elsevierStyleCrossRefs" href="#bib0310">17,18</a> Mexican and Canadian populations.<a class="elsevierStyleCrossRefs" href="#bib0280">11,19</a> However, the population from Croatia,<a class="elsevierStyleCrossRef" href="#bib0325">20</a> Malaysia,<a class="elsevierStyleCrossRef" href="#bib0330">21</a> Philipinnes,<a class="elsevierStyleCrossRef" href="#bib0335">22</a> Italy<a class="elsevierStyleCrossRef" href="#bib0340">23</a> and Kuwait,<a class="elsevierStyleCrossRef" href="#bib0345">24</a> the prevalence of MetS reported is higher. In the world the prevalence of Mets is growing, with increasing age anthropometric changes and metabolic indicators.<a class="elsevierStyleCrossRef" href="#bib0350">25</a> However, in the last decade MetS is more frequent in young and infant population, therefore it is necessary to implement diagnostic criteria which have greater sensibility for the prevention of chronic diseases.<a class="elsevierStyleCrossRef" href="#bib0355">26</a>In this study, we evaluated the relationship among the components of MetS and inflammation molecules and endothelial dysfunction, the soluble levels of MCP-1, sICAM-1 and sE-selectin are associated with the presence of obesity. The levels of MCP-1 were significantly elevated in young adults with obesity vs those with normal weight (271.5 vs 223.5pg/mL). Kim et al., reported similar levels of MCP-1 in young obese Korean population indicating that levels of MCP-1 have a potential in the development of obesity with metabolic complications, atherosclerosis and diabetes.<a class="elsevierStyleCrossRef" href="#bib0360">27</a>In a study conducted in Brazilians with peritoneal dialysis,<a class="elsevierStyleCrossRef" href="#bib0365">28</a> the levels of MCP-1 were very similar to those reported in our population of obese young adults, so the levels of MCP-1 reflects a state of subsequent inflammation in the presence of altered components of MetS or DT2.One of the main metabolic alterations that constitute MetS in Mexican population is dyslipidemia, in these study the levels of VGF-A was associated with the presence of hypertriglyceridemia. Stathopoulou et al., reported an association of plasma levels of VEGF-A with altered lipid.<a class="elsevierStyleCrossRef" href="#bib0370">29</a> Also, Blann et al., demonstrated an increment in plasma VEGF-A in patients with uncomplicated hyperlipidemia mainly evaluating total cholesterol and triglycerides, so that this molecule can represent a marker for cardiovascular risk, as it plays an important role in the production of proinflammatory molecules, cell adhesion molecules, reactive oxygen species and growth factors, thereby disrupting the normal function of the endothelium.<a class="elsevierStyleCrossRef" href="#bib0375">30</a>Similar levels of sICAM-1 and sE-selectin to those found in the study were reported in diabetic and hypertensive Mexican people.<a class="elsevierStyleCrossRef" href="#bib0380">31</a> Zanni et al., reported similar levels of sE-selectin in young adult population of Massachusetts, which established a relationship between sE-selectin, BMI, subcutaneous and visceral adiposity, being this the last one, the most associated to increasing levels of sE-selectin.<a class="elsevierStyleCrossRef" href="#bib0385">32</a> In another study by Glowinska et al., in children and adolescents from Poland who had atherosclerotic risk factors, levels of sICAM-1 similar to those found in our study, suggesting that levels of these molecules of cellular adhesion could detect the presence of cardiovascular disease at a young age.<a class="elsevierStyleCrossRef" href="#bib0390">33</a> The increment of sE-selectin is considered an early indicator of the vascular endothelial cellular activation, Desideri et al.,<a class="elsevierStyleCrossRef" href="#bib0395">34</a> reported in a population of italian obese infants levels of sE-selectin, sICAM-1 and sVCAM-1 similar to those found in our population, so the increased levels of these molecules in young adults may represent an early activation of the vascular endothelium and a risk of endothelial dysfunction and cardiovascular disease.In addition, in our study the levels of sICAM-1 and sVE-cadherin are associated with the presence of systolic pressure. Shalia et al., reported a similar association in a population of elderly hypertensive Bombay, finding a relationship between hypertension and high levels of circulating sICAM-1 and sE-selectin.<a class="elsevierStyleCrossRef" href="#bib0400">35</a> Likewise, Amabile et al., reported an association between the levels of sVE-cadherin and the concentration of circulating microparticles in patients with pulmonary hypertension, so it is suggested that sVE-cadherin predicts hemodynamic severity of pulmonary hypertension and may reflect structural damage of endothelial cells.<a class="elsevierStyleCrossRef" href="#bib0405">36</a> Mansoura et al., reported in an Egyptian adult population with diabetes and acute coronary syndrome increased levels of sVE-cadherin as well as in patients with hyperglycemia, hyperlipidemia and low HDL-c, as well the levels of circulation endothelial-derived microparticles increased and may cause arterial injury, endothelial dysfunction generated by the presence of cardiovascular risk factors.<a class="elsevierStyleCrossRef" href="#bib0410">37</a> Also, in our study we showed an association between sVE-cadherin and low levels of HDL-c, so our young adult population presents evidence of early vascular damage promoted by lipid alteration and manifested by the presence of blood pressure.With regard, to the levels of the molecules of endothelial dysfunction we observed an increased association with the presence of one or two components of MetS. However, there was no significant association with MetS status. Ingelsson et al., reported an association between the levels of sICAM-1, sVCAM-1 and sE-selectin with MetS in a Bolivan adult population, as well as other other inflamatory markers, determinating the levels of sVCAM-1, sE-selectin and reactive C protein were associated with insulin resistance.<a class="elsevierStyleCrossRef" href="#bib0415">38</a> In the present study, the levels of MCP-1 correlates with waist and hip circumference, BMI, fat% and diastolic blood pressure. Moreover, MCP-1 correlates with the levels of VEGF-A, sE-selectin and negatively with sVE-cadherin. Kim et al., in a Korean population found a similar correlationship with BMI (r=0.230; p=<0.02) and waist circumference (r=0.278; p=<0.009) supporting the evidence that adiposity favors an inflammatory state accompanied by an increased recruitment of monocytes that favoring vascular endothelium damage and atherosclerotic plaque formation.<a class="elsevierStyleCrossRef" href="#bib0360">27</a> In a study by Fortes et al., they found a correlation among levels of MCP-1, BMI (r=0.27; p=<0.005), waist circumference (r=0.26; p=<0.005) and other components of MetS in Brazilian adults with peritoneal adults, which determined the components of Mets associated with an increment of MCP-1 in patients with peritoneal dialysis, accelerating the atherosclerotic process.<a class="elsevierStyleCrossRef" href="#bib0365">28</a>In these study, the levels of MCP-1 had a positive correlation with VEGF-A. Stumpf et al., reported a similar correlationship with young Germans with essential hypertension, it is known that MCP-1 could be induced by VEGF-A.<a class="elsevierStyleCrossRef" href="#bib0420">39</a> Several studies have determined a lineal relationship among molecules of cellular adhesion and inflamation and clinical and anthropometric parameters, in this study the levels of sICAM-1 correlated with weight, hip circumference, BMI, body fat % and triglycerides; and the VE-cadherin levels. Glowinska-Olszewska et al., reported a correlation between sICAM-1 and sVE-cadherin (r=0.21; p=0.09), suggesting an interrelation in the activity and endothelial permeability.<a class="elsevierStyleCrossRef" href="#bib0425">40</a> sE-selectin correlated with waist circumference, hip, BMI, body fat %, triglycerides and VCAM-1 levels with triglycerides. In another study, it was reported a strong relationship between sE-selectin and BMI (r=0.52; p<0.001), whereas levels of VCAM-1 were associated with increased levels of triacylglycerol in Polish youth 19–22 years old, increasing the risk of endothelial dysfunction.<a class="elsevierStyleCrossRef" href="#bib0430">41</a> The relationship between the presence of clinical metabolic alterations and the levels of adhesion molecules could be linked to early stage atherogenic.<a class="elsevierStyleCrossRef" href="#bib0390">33</a> It is known that the expression of sVCAM-1, sICAM-1, sE-selectin and VEGF-A is also related to troponin levels and levels of C-reactive protein, these molecules are overexpressed in acute coronary syndromes, evidencing an increased risk of endothelial dysfunction.<a class="elsevierStyleCrossRef" href="#bib0435">42</a> The cutoff values for these molecules in young adults that will allow an accurate diagnosis or predict the development of MetS, insulin resistance and cardiovascular disease is of great interest and clinical relevance.Finally, the highest tertile of MCP-1 was significantly associated with the presence of abdominal obesity. The sICAM-1 third tertile is associated to the presence of altered triglycerides and systolic blood pressure. sE-selectin third tertile with the presence of abdominal obesity and triglycerides and also with the presence of one or two components of Mets. Thompson et al., conducted a similar study and found an association between the highest tertile of sICAM-1 and sE-selectin and MetS in an adult population of prediabetic and diabetic Mongolia.<a class="elsevierStyleCrossRef" href="#bib0440">43</a> The levels of MCP-1 and VEGF-A is associated with the presence of abdominal obesity and the presence of one or two clinical metabolic alterations. Madeshiya et al., reported in Indian population that the levels of MCP-1 are associated with the presence of clinical metabolic and anthropometric alterations in subjects ages from 18 to 60 years old with MetS.<a class="elsevierStyleCrossRef" href="#bib0445">44</a> Consistent levels of sICAM-1 and sVE-cadherin are associated with the presence of impaired systolic pressure. Diabetic hypertensive Mexican adults showed higher levels of cell adhesion molecules, attributing to the coexistence of hypertension and values of sICAM-1, which could explain the increase in endothelial activation and vascular damage in diabetic patients with or without hypertension.<a class="elsevierStyleCrossRef" href="#bib0380">31</a> In young population ages 10–18 years old with diabetes mellitus type 1, the presence of circulating endothelial progenitor, and its relationship with the levels of sICAM-1 and sVE-cadherin cells, progenitor cells endothelial involved in the mobilization processes in the endothelium which increases the risk of atherosclerosis and reduces repairing capacity.<a class="elsevierStyleCrossRef" href="#bib0425">40</a> Moreover, sVCAM-1 third tertile was associated with the presence of hyperglycemia. Haubner et al., reported that in vitro human saphenous vein endothelial cells of diabetic, incremented the expression of VCAM-1 induced by glucose. Hyperglycemia initiates the expression of VCAM-1 which is related to the levels of MCP-1 in the endothelium of diabetic patients that could lead to the progression of endothelial dysfunction.<a class="elsevierStyleCrossRef" href="#bib0450">45</a> We showed that high levels of inflammation markers and endothelial dysfunction were predictors of components of the metabolic syndrome in young population. In conclusion, levels of circulating MCP-1 and VEGF-A are associated with adiposity, sVCAM-1 with the presence of altered fasting glucose, sE-selectin with low HDL-c, meanwhile the levels of sICAM-1 and sVE-cadeherin were associated with systolic blood pressure in young adults independently of other traditional risk factors, which can be considered early markers for components from MetS in young adults.Although this study had sufficient statistical power to detect the association between inflammation and endothelial dysfunction molecules, some limitations of our study should be considered, we are not including young overweigh, it could not completely exclude the influence of factors such as consumption of alcohol and tobacco.FundingThis work was supported by grant to IPGG (UAGRO-PTC-047) (PROMEP/103.5/12/8035), Apoyo para la incorporación de nuevos PTC del Programa de Mejoramiento del Profesorado.Conflict of interestThe authors have not transmitted any conﬂicts of interest concerning this article." "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres792839" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Material and methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec791328" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres792840" "titulo" => "Resumen" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Material y métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusión" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec791329" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Materials and methods" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Subjects" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Data collection" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Definitions" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistical analysis" ] ] ] 6 => array:2 [ "identificador" => "sec0035" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0040" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0050" "titulo" => "Funding" ] 9 => array:2 [ "identificador" => "sec0045" "titulo" => "Conflict of interest" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2015-11-24" "fechaAceptado" => "2016-06-30" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec791328" "palabras" => array:4 [ 0 => "Proinflammatory cytokines" 1 => "Adhesion molecules" 2 => "Metabolic syndrome" 3 => "Young adults" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec791329" "palabras" => array:4 [ 0 => "Citocinas proinflamatorias" 1 => "Moléculas de adhesión" 2 => "Síndrome metabólico" 3 => "Adultos jóvenes" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "IntroductionInflammation and endothelial dysfunction are considered the primary manifestations of the cardiovascular disease. Studies have established a relationship among components of metabolic syndrome (MetS) with inflammatory markers and the loss of permeability, vasoconstriction and vasodilatation endothelial. ObjectiveTo determine the relationship among the concentrations of soluble endothelial dysfunction molecules and inflammation cytokines and components of the metabolic syndrome in young population. Material and methodsA study was performed in 240 young adult students ages 18–28 years. To define the presence of clinical and metabolic alterations and MetS the modified ATP-III criteria was considered. In all subjects were determined sociodemographic characteristics, anthropometric measures and the metabolic profile. Circulating levels of MCP-1, VEGF-A, sICAM-1, sVCAM-1, sE-selectin and sVE-cadherin were determined by ELISA immunoassay (Bioscience). Statistical analysis was performed using STATA statistical software v. 9.2. ResultsFrom all the participants, 44.6% had obesity, 59.9% had abdominal obesity, 49.6% low HDL-c and 16.7% high levels triglycerids. The 16.25% of the population showed 3 or more components of the MetS. Elevated MCP-1, sICAM-1 and sE-selectin levels were linked to the presence of obesity. In a model adjusted by age–gender, high soluble levels of MCP-1 and VEGF-A were linked with abdominal obesity (OR=1.83; 1.02–3.28 and OR=2.03; 1.15–3.56, respectively), as well as to the presence of the 2 components of MetS. sVCAM-1 levels were associated with impaired glucose (OR=4.74; 1.32–17.0); sE-selectin with low HDL-c (OR=1.99; 1.05–3.75), although sICAM-1 and sVE-cadherin were associated with impaired systolic blood pressure (OR=4.04; 1.24–13.1 and OR=6.28; 1.90–20.7, respectively). ConclusionLevels of circulating MCP-1 and VEGF-A were associated with adiposity, levels of sVCAM-1 with the presence of impaired glucose, sE-selectin with low HDL-c, while the levels of sICAM-1 and sVE-cadherin were associated with impaired systolic blood pressure in young adults independently of other traditional risk factors." "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Introduction" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Material and methods" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "IntroducciónLa inflamación y disfunción endotelial son consideradas las primeras manifestaciones clínicas de la enfermedad cardiovascular. Diversos estudios han establecido una relación entre los componentes del síndrome metabólico (Smet), los marcadores de inflamación y la pérdida de la permeabilidad, la vasoconstricción y la vasodilatación endotelial. ObjetivoDeterminar la relación entre la concentración de moléculas marcadores de disfunción endotelial, las citocinas inflamatorias y los componentes del Smet en población joven. Material y métodosEstudio llevado a cabo en 240 estudiantes jóvenes-adultos con edades entre 18 y 28 años. Para definir la presencia de alteraciones clínicas y metabólicas se consideraron los criterios ATP-III modificados. A todos los estudiantes se les determinaron características sociodemográficas, parámetros antropométricos y perfil metabólico. Los niveles circulantes de MCP-1, VEGF-A, sICAM-1, sVCAM-1, sE-selectina y sVE-cadherina fueron determinados por inmunoanálisis ELISA (Bioscience). El análisis estadístico fue realizado utilizando el software STATA v. 9.2. ResultadosDel total de participantes en el estudio, el 44,6% presentó obesidad, el 59,9% obesidad abdominal, el 49,6% niveles bajos de c-HDL y el 16,7% niveles elevados de triglicéridos. El 16,25% de la población mostró al menos 3 componentes de Smet. Los niveles elevados de MCP-1, sICAM-1 y sE-selectina se asociaron a la presencia de obesidad. En un modelo ajustado por edad y género los niveles de MCP-1 y VEGF-A se asociaron a obesidad abdominal (OR=1,83; 1,02-3,28 y OR=2,03; 1,15-3,56; respectivamente), así como también a la presencia de 2 componentes de Smet. Los niveles de sVCAM-1 se asociaron a la alteración de la glucosa (OR=4,74; 1,32-17,0), sE-selectina a c-HDL bajo (OR=1,99; 1,05-3,75), mientras que sICAM-1 y sVE-cadherina se asociaron a la presencia de presión arterial sistólica alterada (OR=4,04; 1,24-13,1 y OR=6,28; 1,90-20,7, respectivamente). ConclusiónLos niveles circulantes de MCP-1 y VEGF-A se asociaron a adiposidad, los niveles de sVCAM-1 a la presencia de glucosa alterada, sE-selectina a c-HDL bajo, mientras que los niveles de sICAM-1 y sVE-cadherina se asociaron a presión arterial sistólica alterada en adultos jóvenes, independientemente de otros factores tradicionales de riesgo cardiovascular." "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Introducción" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Material y métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusión" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "Please cite this article as: Guzmán-Guzmán IP, Zaragoza-García O, Vences-Velázquez A, Castro-Alarcón N, Muñoz-Valle JF, Parra-Rojas I. Concentraciones circulantes de MCP-1, VEGF-A, sICAM-1, sVCAM-1, sE-selectina y sVE-cadherina: su relación con componentes del síndrome metabólico en población joven. Med Clin (Barc). 2016;147:427–434." ] ] "multimedia" => array:4 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "Data given in n (percentages). DBP (diastolic blood pressure); SBP (systolic blood pressure); HDL-c (cholesterol of high density lipoproteins); MetS (metabolic syndrome); MetS defined according to the modified ATPIII definition for Asians." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Characteristic \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Frequency n (%) \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top">Obesity</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">133 (55.42) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">107 (44.58) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top">Abdominal obesity</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">96 (40.17) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">143 (59.83) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top">SBP (mmHg)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><130mmHg \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">222 (93.67) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">≥130mmHg \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (6.33) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top">DBP (mmHg)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><85mmHg \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">220 (92.83) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">≥85mmHg \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17 (7.17) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top">Glucose (mg/dL)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><100mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">228 (95.0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">≥100mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (5.0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top">Triglycerides (mg/dL)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><150mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">200 (83.33) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">≥150mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">40 (16.67) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top">HDL-c (mg/dL)</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">>40/>50mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">119 (50.42) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><40/<50mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">117 (49.58) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top">MetS</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">201 (83.75) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39 (16.25) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1325839.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Frequency of clinical metabolic alterations and MetS in young population." ] ] 1 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "Data of the mean were obtained using the statistical test of Mann–Whitney U test (5th–95th). The p value <0.05 are considered statistically significant. DBP (diastolic blood pressure); HDL-c (cholesterol of high density lipoproteins); MCP-1 (monocyte-chemoattractant-protein-1); MetS (metabolic syndrome); SBP (systolic blood pressure); sE-selectin (soluble E-selectin); sICAM-1 (soluble intercellular adhesion molecule-1); sVCAM-1 (soluble vascular cell adhesion molecule-1); sVE-cadherin (soluble vascular endothelial cadherin) and VEGF-A (vascular endothelial growth factor-A)." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Characteristic \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">MCP-1 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">VEGF-A \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">sICAM-1 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">sVCAM-1 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">sE-selectin \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">sVE-cadherin \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top">Group</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Normal weight \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">223.54 (82.22–529.90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">119.28 (31.53–482.08) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">310.89 (162.1–1101.53) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">537.85 (242.32–1411.27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">64.82 (32.58–107.25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.93 (1.28–4.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Obesity \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">271.50 (125.10–664.85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">125.43 (31.50–496.78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">359.02 (216.94–1582.29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">590.75 (228.02–1340.37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">79.07 (23.11–129.61) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.89 (1.08–9.21) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">p value \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.494 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.615 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.287 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top">Abdominal obesity</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">218.56 (93.70–520.10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">106.40 (31.30–449.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">312.58 (170.16–1237.88) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">574.07 (244.17–1411.27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">64.45 (33.62–108.92) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.05 (1.20–29.52) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">255.69 (91.50–622.30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">129.19 (31.62–496.78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">340.39 (194.76–1556.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">567.18 (228.18–1265.75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75.71 (23.22–123.08) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.12 (0.96–25.65) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">p value \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.038 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.073 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.112 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.375 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.022 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.491 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top">SBP</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><130mmHg \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">237.56 (92.35–615.30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">122.80 (31.62–496.78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">323.87 (192.66–1398.47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">559.85 (239.95–1398.47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">71.30 (32.58–118.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.07 (0.96–26.60) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">≥130mmHg \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">239.36 (63.50–479.91) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">106.57 (31.46–398.70) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">826.11 (250.00–1501.49) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">609.47 (244.17–967.90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32.62 (12.50–119.84) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13.64 (0.59–38.24) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">p value \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.973 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.434 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.015 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.847 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.126 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.007 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top">DBP</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><85mmHg \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">237.56 (93.70–615.30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">123.41 (31.65–489.43) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">324.42 (177.82–1501.49) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">565.10 (237.58–1411.27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">70.24 (28.52–118.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.16 (1.08–28.61) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">≥85mmHg \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">226.31 (60.00–479.91) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">107.86 (31.23–1100.74) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">351.96 (193.34–3740.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">677.75 (244.17–1340.37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">79.27 (7.65–194.18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.86 (0.59–34.30) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">p value \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.956 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.775 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.340 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.925 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.798 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.059 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top">Glucose</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><100mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">238.69 (90.66–600.45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">123.41 (31.53–496.78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">328.15 (192.66–1501.49) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">555 (242.32–1362.76) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">71.13 (30.37–115.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.11 (1.20–28.61) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">≥100mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">226.50 (115.98–1087.40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">93.35 (31.50–443.54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">295.1 (208.06–722.33) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">750.93 (255.85–1265.75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">65.77 (23.11–129.61) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.91 (0.59–19.05) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">p value \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.000 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.319 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.164 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.121 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.249 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.197 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top">Triglycerides</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><150mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">230.30 (87.28–600.45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">110.39 (31.45–511.70) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">323.87 (177.21–1449.98) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">582.2 (242.32–1422.46) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">69.45 (30.37–114.05) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.13 (0.96–27.65) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">≥150mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">272.44 (162.48–577.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">154.94 (46.90–443.51) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">339.02 (202.82–1516.64) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">505.98 (228.02–1130.07) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">77.21 (25.1–145.37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.88 (1.26–32.54) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">p value \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.051 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.045 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.725 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.355 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.234 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.141 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top">HDL-c</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">>40/>50mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">247.85 (93.70–615.30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">119.28 (31.41–449.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">318.82 (170.16–1101.53) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">581.05 (268.38–1362.76) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">69.28 (25.10–119.47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.00 (0.94–19.62) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><40/<50mg/dL \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">237.56 (82.22–600.45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">125.43 (31.62–608.10) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">332.54 (196.37–1591.38) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">537.85 (228.10–1332.36) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75.70 (35.31–117.58) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.20 (1.38–29.52) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">p value \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.871 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.352 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.102 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.792 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.082 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.031 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top">MetS</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">No \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">231.98 (87.28–600.45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">119.28 (31.46–532.22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">329.84 (176.61–1556.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">563.66 (244.17–1411.27) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">69.60 (32.22–114.29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.16 (0.94–28.61) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">274.80 (146.03–447.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">134.16 (36.91–351.58) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">321.17 (216.94–1133.85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">569.27 (228.02–1131.42) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">77.8 (23.22–123.08) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.89 (1.28–32.54) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">p value \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.126 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.430 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.418 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.789 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.177 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.102 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1325836.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Levels of inflammation and endothelial dysfunction molecules according to clinical metabolic components and MetS and in the study population." ] ] 2 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "Spearman's correlation lineal. r=rho; correlation coefficient. The p value <0.05 are considered statistically significant. BMI (Body Mass Index); MCP-1 (monocyte-chemoattractant-protein-1); sE-selectin (soluble E-selectin); sICAM-1 (soluble intercellular adhesion molecule-1); sVCAM (soluble vascular cell adhesion molecule-1); sVE-cadherin (soluble vascular endothelial cadherin); VEGF-A (vascular endothelial growth factor-A)." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Characteristics \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">MCP-1</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">VEGF-A</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">sICAM-1</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">sVCAM-1</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">sE-selectin</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">sVE-cadherin</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">r \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">r \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">r \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">r \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">r \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">r \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">p \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Weight (kg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.298 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.054 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.571 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.211 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.027 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.104 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.280 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.233 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.017 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.065 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.505 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Waist circumference (cm) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.307 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.041 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.667 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.121 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.209 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.056 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.557 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.272 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.005 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.066 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.498 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Hip circumference (cm) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.213 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.026 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.116 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.191 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.208 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.029 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.035 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.714 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.233 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.017 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.021 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.827 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">BMI (kg/m2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.284 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.126 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.302 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.243 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.010 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.062 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.522 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.242 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.013 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.003 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.972 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Body fat (%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.322 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.136 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.155 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.299 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.057 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.553 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.268 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.005 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.058 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.550 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">MCP-1 (pg/mL) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.270 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.041 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.532 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.040 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.551 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.182 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.010 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.264 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">VEGF-A (pg/mL) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.270 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.101 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.118 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.136 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.057 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.201 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.004 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.121 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.076 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">sICAM-1 (ng/mL) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.041 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.532 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.101 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.118 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.077 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.257 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.968 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.451 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">sVCAM-1 (ng/mL) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.040 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.551 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.103 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.130 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.077 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.272 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.026 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.710 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.136 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.057 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">sE-selectin (ng/mL) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.182 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.010 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.201 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.004 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.968 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.026 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.710 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.128 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.092 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">sVE-cadherin (ng/mL) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.264 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.121 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.076 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.451 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.136 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.057 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.092 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1325837.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Relation between anthropometric parameters and inflammation and the endothelial molecules levels." ] ] 3 => array:8 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at4" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "Reference category <3° tertile levels. The p value <0.05 are considered statistically significant. DBP (diastolic blood pressure); HDL-c (cholesterol of high density lipoproteins); SBP (systolic blood pressure); sE-selectin (soluble E-selectin); sICAM-1 (soluble intercellular adhesion molecule-1); sVCAM-1 (soluble vascular cell adhesion molecule-1); sVE-cadherin (soluble vascular endothelial cadherin) and VEGF-A (vascular endothelial growth factor-A).Adjusted model for age and gender." "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Characteristics</th><th class="td" title="table-head " align="left" valign="top" scope="col">MCP-1 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">VEGF-A \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">sICAM-1 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">sVCAM-1 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">sE-selectin \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">sVE-cadherin \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR (IC 95%) p \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR (IC 95%) p \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR (IC 95%) p \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR (IC 95%) p \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR (IC 95%) p \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR (IC 95%) p \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Abdominal obestity \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.80 (0.98–3.37) 0.043 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.95 (1.08–3.55) 0.016 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.17 (0.65–2.14) 0.560 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.94 (0.51–1.76) 0.856 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.71 (0.88–3.38) 0.087 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.22 (0.65–2.32) 0.496 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.83 (1.02–3.28) 0.042 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.03 (1.15–3.56) 0.013 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.06 (0.60–1.88) 0.831 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.99 (0.55–1.8) 0.993 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.67 (0.89–3.14) 0.110 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.08 (0.59–1.99) 0.781 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Glucose \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.96 (0.20–3.72) 0.948 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.55 (0.93–2.29) 0.374 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.19 (0.004–1.43) 0.088 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.30 (1.09–20.11) 0.012 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.45 (0.34–5.55) 0.536 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.17 (0.003–1.24) 0.062 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.89 (0.25–3.18) 0.863 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.55 (0.14–2.17) 0.398 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.14 (0.01–1.22) 0.077 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.74 (1.32–17.0) 0.017 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.19 (0.34–4.15) 0.780 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.12 (0.04–1.01) 0.052 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">HDL-c \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.36 (0.76–2.44) 0.264 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.37 (0.78–2.42) 0.237 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.27 (0.71–2.29) 0.377 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.28 (0.70–2.35) 0.382 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.89 (0.98–3.62) 0.037 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.81 (0.97–3.40) 0.044 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.42 (0.80–2.51) 0.226 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.31 (0.75–2.28) 0.327 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.46 (0.81–2.61) 0.199 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.48 (0.81–2.69) 0.195 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.99 (1.05–3.75) 0.033 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.76 (0.96–3.24) 0.067 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Triglicerydes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.53 (0.71–3.25) 0.223 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.31 (0.61–2.76) 0.437 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.64 (0.26–1.45) 0.265 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.73 (0.30–1.65) 0.427 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.26 (0.55–2.80) 0.535 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.36 (0.11–0.97) 0.030 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.55 (0.76–3.16) 0.227 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.38 (0.68–2.81) 0.362 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.54 (0.24–1.21) 0.136 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.68 (0.31–1.50) 0.343 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.19 (0.55–2.58) 0.646 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.34 (0.13–0.90) 0.030 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">SBP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.08 (0.27–3.74) 0.892 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.82 (0.21–2.74) 0.727 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.07 (1.16–15.97) 0.009 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.07 (0.27–3.74) 0.895 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.37 (0.27–6.05) 0.628 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.52 (1.33–17.47) 0.008 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.05 (0.32–3.37) 0.928 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.85 (0.27–2.69) 0.794 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">4.04 (1.24–13.10) 0.020 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.89 (0.27–2.29) 0.854 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.34 (0.35–5.13) 0.663 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">6.28 (1.90–20.70) 0.003 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">DBP \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.17 (0.33–3.73) 0.763 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.90 (0.26–2.77) 0.841 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.13 (0.33–3.51) 0.807 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.31 (0.36–4.32) 0.617 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.89 (0.19–3.37) 0.860 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.40 (0.07–1.53) 0.156 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.16 (0.40–3.35) 0.775 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.92 (0.32–2.60) 0.880 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.01 (0.35–2.88) 0.981 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.36 (0.46–4.03) 0.575 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.79 (0.22–2.77) 0.716 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.34 (0.09–1.28) 0.114 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">1 alterations \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.12 (0.89–5.06) 0.089 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.41 (0.92–2.17) 0.111 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.27 (0.58–2.75) 0.541 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.84 (0.81–4.15) 0.139 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.38 (0.58–3.25) 0.458 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.93 (0.81–4.56) 0.133 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.19 (0.91–5.28) 0.080 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.51 (1.11–5.67) 0.026 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.15 (0.52–2.55) 0.719 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.23 (0.96–5.19) 0.062 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.36 (0.57–3.24) 0.485 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.66 (0.69–3.99) 0.252 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">2 alterations \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.74 (1.57–8.90) 0.003 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.69 (1.08–2.64) 0.019 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.65 (0.76–3.62) 0.204 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.22 (0.52–2.86) 0.642 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.22 (0.92–5.35) 0.074 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.41 (1.02–5.71) 0.045 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.86 (1.61–9.28) 0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">3.21 (1.40–7.33) 0.006 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.47 (0.66–3.28) 0.338 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.40 (0.58–3.36) 0.447 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.18 (0.89–5.29) 0.084 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.08 (0.86–5.02) 0.102 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">≥3 alterations \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.25 (0.83–6.04) 0.107 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.39 (0.84–2.31) 0.198 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.07 (0.42–2.73) 0.877 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.72 (0.67–4.39) 0.253 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.22 (0.85–5.82) 0.103 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.05 (0.37–2.94) 0.918 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age, gender \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.32 (0.85–6.30) 0.097 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.14 (0.83–5.52) 0.112 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.93 (0.36–2.42) 0.888 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.02 (0.77–5.29) 0.153 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2.14 (0.80–5.68) 0.127 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.87 (0.30–2.51) 0.804 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1325838.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Association of inflammation and endothelial dysfunction molecules and metabolic syndrome components." ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:45 [ 0 => array:3 [ "identificador" => "bib0230" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement: executive summary" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "S.M. 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Circulating levels of MCP-1, VEGF-A, sICAM-1, sVCAM-1, sE-selectin and sVE-cadherin: Relationship with components of metabolic syndrome in young population

Concentraciones circulantes de MCP-1, VEGF-A, sICAM-1, sVCAM-1, sE-selectina y sVE-cadherina: su relación con componentes del síndrome metabólico en población joven

Iris Paola Guzmán-Guzmána,

Corresponding author

pao_nkiller@yahoo.com.mx

Corresponding author.

, Oscar Zaragoza-Garcíaa, Amalia Vences-Velázqueza, Natividad Castro-Alarcóna, José Francisco Muñoz-Valleb, Isela Parra-Rojasa

a Unidad Académica de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico

b Departamento de Biología Molecular y Genómica, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico

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MetS<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">5</span></a> and type 2 diabetes &#40;DT2&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">6</span></a> The inflammation have a central role in the pathogenesis of MetS and the mediation of its impact in the development of cardiovascular disease&#46;<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">5</span></a> The search for biomarkers of inflammation&#44; endothelial damage and cardiovascular disease could be important in the identification of early metabolic dysfunction associated with components of MetS&#46;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">7</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Worldwide prevalence of MetS is present in one fourth of the population&#46;<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">8</span></a> In Mexico&#44; it has been reported a prevalence of 26&#46;6&#37; of MetS in the population from 20 to 70 years old&#46;<a class="elsevierStyleCrossRefs" href="#bib0270"><span class="elsevierStyleSup">9&#44;10</span></a> However&#44; others studies carried out in young adult population show the prevalence has increased from of 15&#46;8&#37;&#44;<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">11</span></a> to 41&#46;1&#37;&#44;<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">12</span></a> and 73&#46;8&#37;&#46;<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">13</span></a> The definition of MetS in adult population is subjected to the criteria established by the Adult Treatment Panel III &#40;ATP-III&#41; of the National Cholesterol Education Program &#40;NCEP&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">14</span></a> However&#44; it has been recently modified including the definition values of the perimeter of waist referred to the different ethnic groups given that has been demonstrated that the grades of obesity start to increase the risk of other complications&#44; are distinct in the different ethnic groups&#44; especially in individuals from Asian origin&#46;<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">15</span></a> Mexican population represent a mestizo population with an important native American and Asian component&#44; the consideration of the new criteria in the definition of MetS must be used to help identify appropriately the people with MetS&#44; in order to better define the nature of the syndrome and insist in the strategy of to modify their life style and therapies that can to help reduce the risk of ECV and DT2&#46; In the current study&#44; we examined the association between endothelial dysfunction molecules and inflammation cytokines with components of the metabolic syndrome in young population&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Materials and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Subjects</span><p id="par0020" class="elsevierStylePara elsevierViewall">This study was carried out in 2013 and 2014 in Guerrero State&#44; located in southern Mexico&#46; Total population of 240 young students &#40;96 men and 144 women&#41; with ages 18&#8211;28 years old were analyzed&#46; The enrolled students were from the Universidad de Guerrero&#46; All participants gave their informed written consent&#46; Approval for the study was obtained from the Research Ethics Committee of the Universidad de Guerrero&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Data collection</span><p id="par0025" class="elsevierStylePara elsevierViewall">All participants were given a survey of sociodemographic characteristics&#44; anthropometric and clinical-metabolic parameters were also determined&#44; the circulating levels of the molecules of inflammation and endothelial dysfunction were measured&#46; Their body composition was evaluated in light clothing and without shoes using bioelectrical impedance technique with Tanita TFB-300 GS &#40;Tanita Corporation&#44; Arlington Heights&#44; IL&#44; USA&#41; to assess weight&#44; BMI&#44; body fat percentage &#40;&#37;&#41;&#44; and total body fat &#40;kg&#41;&#46; Height was determined using a portable stadiometer &#40;Seca 240&#44; Hamburg&#44; Germany&#41;&#46; Waist circumference &#40;WC&#41; was measured at the level of the umbilicus&#44; with the subject standing&#46; Hip girth was measured at the maximum circumference of the buttocks&#46; The body circumferences were measured by duplicated using a measuring tape with an accuracy of &#177;0&#46;1<span class="elsevierStyleHsp" style=""></span>cm &#40;Seca 201&#44; Hamburg&#41;&#44; elevated waist circumference was defined &#8805;90<span class="elsevierStyleHsp" style=""></span>cm in men&#44; &#8805;80<span class="elsevierStyleHsp" style=""></span>cm in women&#46;</p><p id="par0030" class="elsevierStylePara elsevierViewall">Abdominal obesity&#44; obesity&#44; hypertension and clinical metabolic alterations were classified in accordance with the Adult Treatment Panel III criteria recommendations for Asian-American population&#46;<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">1</span></a> In addition&#59; the blood pressure was measured twice using the right arm of the participants seated for at least 5<span class="elsevierStyleHsp" style=""></span>min&#46; Two consecutive measures were obtained at 5-min intervals using a baumanometer &#40;HEM-712C&#44; Omron&#41;&#46; Overnight fasting blood sample were obtained to measure total cholesterol&#44; high density lipoprotein-cholesterol &#40;HDL-c&#41;&#44; low density lipoprotein-cholesterol &#40;LDL-c&#41;&#44; triglycerides and fasting glucose levels&#44; analyzed by enzymatically and colorimetric assay using semiautomatic equipment SPINREACT &#40;SPINLAB&#41;&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">Monocyte-chemoattractant-protein-1 &#40;MCP-1&#41;&#44; vascular endothelial growth factor-A &#40;VEGF-A&#41;&#44; soluble intercellular adhesion molecule-1 &#40;sICAM-1&#41;&#44; soluble vascular cell adhesion molecule-1 &#40;sVCAM-1&#41;&#44; soluble E-selectin &#40;sE-selectin&#41; and soluble vascular endothelial cadherin &#40;sVE-cadherin&#41; were measured by an ELISA assay &#40;eBioscience&#44; North America and Europe of according to the manufacturer&#39;s instructions&#41;&#44; with a sensitivity of 2&#46;3<span class="elsevierStyleHsp" style=""></span>pg&#47;mL &#40;MCP-1&#41;&#44; 7&#46;9<span class="elsevierStyleHsp" style=""></span>pg&#47;mL &#40;VEGF-A&#41;&#44; 0&#46;33<span class="elsevierStyleHsp" style=""></span>ng&#47;mL &#40;sICAM-1&#41;&#44; 0&#46;6<span class="elsevierStyleHsp" style=""></span>ng&#47;mL &#40;sVCAM-1&#41;&#44; 0&#46;3<span class="elsevierStyleHsp" style=""></span>ng&#47;mL &#40;sE-selectin&#41; and 0&#46;10<span class="elsevierStyleHsp" style=""></span>ng&#47;mL &#40;sVE-cadherin&#41; employed the quantitative sandwich enzyme immunoassay technique&#46; All determinations and calibrations were carried out by duplication&#46; The absorbance was measured in a spectrophotometer &#40;TECAN Minilyser equipment&#41; at a wavelength of 450&#8211;620<span class="elsevierStyleHsp" style=""></span>nm&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Definitions</span><p id="par0040" class="elsevierStylePara elsevierViewall">Anthropometric measures&#44; clinic and metabolic alterations and MetS were defined according to the modified Adult Treatment Panel III recommendations for Asian American&#46;<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">1</span></a> Individuals were considered to have MetS if they had three or more of the following risk factors&#58; elevated waist circumference &#40;&#8805;90<span class="elsevierStyleHsp" style=""></span>cm in men&#44; &#8805;80<span class="elsevierStyleHsp" style=""></span>cm in women&#41;&#44; elevated triglycerides &#40;&#8805;150<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#41;&#44; reduced HDL cholesterol &#40;&#60;40<span class="elsevierStyleHsp" style=""></span>mg&#47;dL in men&#44; &#60;50 in women&#41;&#44; elevated blood pressure &#40;&#8805;130<span class="elsevierStyleHsp" style=""></span>mmHg systolic blood pressure or &#8805;85<span class="elsevierStyleHsp" style=""></span>mmHg diastolic blood pressure&#41; or elevated fasting glucose &#40;&#8805;100<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#41;&#46; Additionally molecules levels were analyzed according to normal weight&#44; defined by BMI<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>23<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span> and obesity BMI<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>25<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Statistical analysis</span><p id="par0045" class="elsevierStylePara elsevierViewall">Data was codified and capture in a database using STATA software &#40;v&#46;9&#46;2&#41;&#46; The categorical variables were compared by chi-square test&#44; and prevalence and frequencies are expressed in percent&#46; Descriptive analysis included the estimation of median&#44; 5th to 95th percentiles for nonsymmetrical variables&#44; and determining significant differences among the groups using Mann&#8211;Whitney <span class="elsevierStyleItalic">U</span> test&#46; The linear relationship among covariates was determined using Spearman&#39;s correlation coefficient&#46; <span class="elsevierStyleItalic">p</span> value<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 was considered statistically significant&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">Logistic regression was used to determine the association among components of metabolic syndrome and levels of molecules&#46; Cutoff of the molecules were categorized by tertiles&#44; third tertile was considered risk category&#58; MCP-1 &#40;&#62;290<span class="elsevierStyleHsp" style=""></span>pg&#47;mL&#41;&#44; VEGF-A &#40;&#62;170<span class="elsevierStyleHsp" style=""></span>pg&#47;mL&#41;&#44; sICAM-1 &#40;&#62;450<span class="elsevierStyleHsp" style=""></span>ng&#47;mL&#41;&#44; sVCAM-1 &#40;&#62;707<span class="elsevierStyleHsp" style=""></span>ng&#47;mL&#41;&#44; sE-selectin &#40;&#62;83<span class="elsevierStyleHsp" style=""></span>ng&#47;mL&#41; and sVE-cadherin &#40;&#62;1&#46;83<span class="elsevierStyleHsp" style=""></span>ng&#47;mL&#41;&#44; levels under the third tertile were used as the reference category&#46;</p></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Results</span><p id="par0055" class="elsevierStylePara elsevierViewall">A total of 240 young students were evaluated&#44; 44&#46;58&#37; showed obesity and more than 59&#46;83&#37; presented abdominal obesity&#46; A 6&#46;33&#37; and 7&#46;17&#37; of the population had blood pressure altered systolic and diastolic&#46; Only 5&#46;0&#37; showed impaired glucose&#46; 49&#46;58&#37; had low HDL cholesterol and 16&#46;67&#37; impaired triglycerides&#46; A prevalence of 16&#46;25&#37; of MetS was found &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0060" class="elsevierStylePara elsevierViewall">This study shows that levels of MCP-1&#44; sICAM-1 and sE-selectin were associated with an increase and the presence of obesity&#46; Increased levels of MCP-1 and sE-selectin in presence of abdominal obesity were observed&#44; while increasing levels of sICAM-1 and sVE-cadherin were observed in impaired SBP&#46; Another component associated with high levels of sVE-cadherin was low HDL-c&#46; Although VEGF-A was associated with impaired triglycerides&#46; However the presence of MetS was not directly associated with high levels of some of the biomarkers &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0065" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows a lineal relation of circulating levels of biomarkers with anthropometric&#44; clinical and metabolic parameters&#46; The levels of MCP-1&#44; sICAM-1 and sE-selectin were correlated with weight&#44; waist circumference&#44; hip circumference&#44; BMI and body fat&#46; sICAM-1 and sE-selectin were related to an increment of triglycerides &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;19&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;046&#59; <span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;27&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;004&#44; respectively&#41;&#46; While the levels of sVE-cadherin does not demonstrate an association with the anthropometric measures they have a relation with the levels of HDL &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#8722;0&#46;23&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;017&#41; and total cholesterol &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#8722;0&#46;29&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;002&#41;&#46; Though&#44; the relation between MCP-1 levels with VEGF-A&#44; sE-selectin and sVE-cadherin levels was showed&#46; VEGF-A correlates with sE-selectin&#44; meanwhile the levels of sICAM-1 relate with sVE-cadherin levels &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0070" class="elsevierStylePara elsevierViewall">Moreover&#44; it can be observed that the young with levels of MCP-1 and sE-selectin up to third tertiles showed higher waist &#40;98&#46;0 <span class="elsevierStyleItalic">vs</span> 85<span class="elsevierStyleHsp" style=""></span>cm&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;025&#41;&#44; as well as triglycerides in relation to sE-selectin &#40;103&#46;0 <span class="elsevierStyleItalic">vs</span> 88&#46;0<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;017&#41;&#46; The young adults with levels higher than the third tertiles of sICAM-1 demonstrated higher levels of triglycerides &#40;92&#46;0 <span class="elsevierStyleItalic">vs</span> 82&#46;5<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;002&#41; and systolic blood pressure &#40;111&#46;0 <span class="elsevierStyleItalic">vs</span> 105<span class="elsevierStyleHsp" style=""></span>mmHg&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;026&#41;&#46; In a model adjusted for age and gender the association between the presence of MetS components and the circulating levels in the third tertiles <span class="elsevierStyleItalic">vs</span> the values under this tertil was showed&#44; the presence of abdominal obesity &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;83&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;04&#41; and two clinical-metabolic alterations &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>3&#46;86&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;002&#41; were associated with increased levels of MCP-1 &#40;&#62;290<span class="elsevierStyleHsp" style=""></span>pg&#47;mL&#41;&#46; The presence of abdominal obesity &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2&#46;03&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;013&#41;&#44; one and two clinical and metabolic abnormalities &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2&#46;51&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;026&#59; OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>3&#46;21&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;006&#44; respectively&#41; were associated with increased levels of VEGF-A &#40;&#62;170<span class="elsevierStyleHsp" style=""></span>pg&#47;mL&#41;&#46; The presence of altered systolic blood pressure was associated with the increased levels of sICAM-1 &#40;&#62;450<span class="elsevierStyleHsp" style=""></span>ng&#47;mL&#41; &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#46;04&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41;&#44; impaired glucose &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#46;74&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;017&#41; demonstrating an association with an increment in the levels of sVCAM-1 &#40;&#62;707<span class="elsevierStyleHsp" style=""></span>ng&#47;mL&#41;&#46; The presence of low HDL-c &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;99&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;03&#41; was associated with increased levels of sE-selectin &#40;&#62;83<span class="elsevierStyleHsp" style=""></span>ng&#47;mL&#41;&#44; while impaired triglycerides &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;34&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;03&#41; and altered systolic blood pressure &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>6&#46;28&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;003&#41; were associated with increased levels of sVE-cadherin &#40;&#62;1&#46;83<span class="elsevierStyleHsp" style=""></span>ng&#47;mL&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Discussion</span><p id="par0075" class="elsevierStylePara elsevierViewall">In this study&#44; we found that nearly half of the population presented obesity&#46; Around 60&#37; demonstrated abdominal obesity&#44; accompanied with low levels of HDL-c &#40;49&#46;58&#37;&#41; and elevated triglycerides &#40;16&#46;67&#37;&#41;&#46; 6&#46;33&#37; and 7&#46;17&#37; of the population demonstrated altered systolic and diastolic blood pressure and only 5&#37; presented altered levels of glucose&#46; In a similar means it has been reported by the Nutrition and Health National Survey 2012&#44; an elevated prevalence of overweight and obesity in Mexican population in an age range from 20 to 29 years old&#44; as well as an elevated prevalence of MetS components&#46;<a class="elsevierStyleCrossRefs" href="#bib0245"><span class="elsevierStyleSup">4&#44;16</span></a> The life style&#44; the socioeconomic status&#44; the physical inactivity and changing eating&#8211;habits are the main factors that favor the presence of obesity and metabolic alteration that increase the cardiovascular risk in the Mexican population&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">In this study the prevalence of the metabolic syndrome was 16&#46;25&#37;&#44; in concordance to a similar prevalence has been reported in Chinese&#46;<a class="elsevierStyleCrossRefs" href="#bib0310"><span class="elsevierStyleSup">17&#44;18</span></a> Mexican and Canadian populations&#46;<a class="elsevierStyleCrossRefs" href="#bib0280"><span class="elsevierStyleSup">11&#44;19</span></a> However&#44; the population from Croatia&#44;<a class="elsevierStyleCrossRef" href="#bib0325"><span class="elsevierStyleSup">20</span></a> Malaysia&#44;<a class="elsevierStyleCrossRef" href="#bib0330"><span class="elsevierStyleSup">21</span></a> Philipinnes&#44;<a class="elsevierStyleCrossRef" href="#bib0335"><span class="elsevierStyleSup">22</span></a> Italy<a class="elsevierStyleCrossRef" href="#bib0340"><span class="elsevierStyleSup">23</span></a> and Kuwait&#44;<a class="elsevierStyleCrossRef" href="#bib0345"><span class="elsevierStyleSup">24</span></a> the prevalence of MetS reported is higher&#46; In the world the prevalence of Mets is growing&#44; with increasing age anthropometric changes and metabolic indicators&#46;<a class="elsevierStyleCrossRef" href="#bib0350"><span class="elsevierStyleSup">25</span></a> However&#44; in the last decade MetS is more frequent in young and infant population&#44; therefore it is necessary to implement diagnostic criteria which have greater sensibility for the prevention of chronic diseases&#46;<a class="elsevierStyleCrossRef" href="#bib0355"><span class="elsevierStyleSup">26</span></a></p><p id="par0085" class="elsevierStylePara elsevierViewall">In this study&#44; we evaluated the relationship among the components of MetS and inflammation molecules and endothelial dysfunction&#44; the soluble levels of MCP-1&#44; sICAM-1 and sE-selectin are associated with the presence of obesity&#46; The levels of MCP-1 were significantly elevated in young adults with obesity <span class="elsevierStyleItalic">vs</span> those with normal weight &#40;271&#46;5 <span class="elsevierStyleItalic">vs</span> 223&#46;5<span class="elsevierStyleHsp" style=""></span>pg&#47;mL&#41;&#46; Kim et al&#46;&#44; reported similar levels of MCP-1 in young obese Korean population indicating that levels of MCP-1 have a potential in the development of obesity with metabolic complications&#44; atherosclerosis and diabetes&#46;<a class="elsevierStyleCrossRef" href="#bib0360"><span class="elsevierStyleSup">27</span></a></p><p id="par0090" class="elsevierStylePara elsevierViewall">In a study conducted in Brazilians with peritoneal dialysis&#44;<a class="elsevierStyleCrossRef" href="#bib0365"><span class="elsevierStyleSup">28</span></a> the levels of MCP-1 were very similar to those reported in our population of obese young adults&#44; so the levels of MCP-1 reflects a state of subsequent inflammation in the presence of altered components of MetS or DT2&#46;</p><p id="par0095" class="elsevierStylePara elsevierViewall">One of the main metabolic alterations that constitute MetS in Mexican population is dyslipidemia&#44; in these study the levels of VGF-A was associated with the presence of hypertriglyceridemia&#46; Stathopoulou et al&#46;&#44; reported an association of plasma levels of VEGF-A with altered lipid&#46;<a class="elsevierStyleCrossRef" href="#bib0370"><span class="elsevierStyleSup">29</span></a> Also&#44; Blann et al&#46;&#44; demonstrated an increment in plasma VEGF-A in patients with uncomplicated hyperlipidemia mainly evaluating total cholesterol and triglycerides&#44; so that this molecule can represent a marker for cardiovascular risk&#44; as it plays an important role in the production of proinflammatory molecules&#44; cell adhesion molecules&#44; reactive oxygen species and growth factors&#44; thereby disrupting the normal function of the endothelium&#46;<a class="elsevierStyleCrossRef" href="#bib0375"><span class="elsevierStyleSup">30</span></a></p><p id="par0100" class="elsevierStylePara elsevierViewall">Similar levels of sICAM-1 and sE-selectin to those found in the study were reported in diabetic and hypertensive Mexican people&#46;<a class="elsevierStyleCrossRef" href="#bib0380"><span class="elsevierStyleSup">31</span></a> Zanni et al&#46;&#44; reported similar levels of sE-selectin in young adult population of Massachusetts&#44; which established a relationship between sE-selectin&#44; BMI&#44; subcutaneous and visceral adiposity&#44; being this the last one&#44; the most associated to increasing levels of sE-selectin&#46;<a class="elsevierStyleCrossRef" href="#bib0385"><span class="elsevierStyleSup">32</span></a> In another study by Glowinska et al&#46;&#44; in children and adolescents from Poland who had atherosclerotic risk factors&#44; levels of sICAM-1 similar to those found in our study&#44; suggesting that levels of these molecules of cellular adhesion could detect the presence of cardiovascular disease at a young age&#46;<a class="elsevierStyleCrossRef" href="#bib0390"><span class="elsevierStyleSup">33</span></a> The increment of sE-selectin is considered an early indicator of the vascular endothelial cellular activation&#44; Desideri et al&#46;&#44;<a class="elsevierStyleCrossRef" href="#bib0395"><span class="elsevierStyleSup">34</span></a> reported in a population of italian obese infants levels of sE-selectin&#44; sICAM-1 and sVCAM-1 similar to those found in our population&#44; so the increased levels of these molecules in young adults may represent an early activation of the vascular endothelium and a risk of endothelial dysfunction and cardiovascular disease&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">In addition&#44; in our study the levels of sICAM-1 and sVE-cadherin are associated with the presence of systolic pressure&#46; Shalia et al&#46;&#44; reported a similar association in a population of elderly hypertensive Bombay&#44; finding a relationship between hypertension and high levels of circulating sICAM-1 and sE-selectin&#46;<a class="elsevierStyleCrossRef" href="#bib0400"><span class="elsevierStyleSup">35</span></a> Likewise&#44; Amabile et al&#46;&#44; reported an association between the levels of sVE-cadherin and the concentration of circulating microparticles in patients with pulmonary hypertension&#44; so it is suggested that sVE-cadherin predicts hemodynamic severity of pulmonary hypertension and may reflect structural damage of endothelial cells&#46;<a class="elsevierStyleCrossRef" href="#bib0405"><span class="elsevierStyleSup">36</span></a> Mansoura et al&#46;&#44; reported in an Egyptian adult population with diabetes and acute coronary syndrome increased levels of sVE-cadherin as well as in patients with hyperglycemia&#44; hyperlipidemia and low HDL-c&#44; as well the levels of circulation endothelial-derived microparticles increased and may cause arterial injury&#44; endothelial dysfunction generated by the presence of cardiovascular risk factors&#46;<a class="elsevierStyleCrossRef" href="#bib0410"><span class="elsevierStyleSup">37</span></a> Also&#44; in our study we showed an association between sVE-cadherin and low levels of HDL-c&#44; so our young adult population presents evidence of early vascular damage promoted by lipid alteration and manifested by the presence of blood pressure&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">With regard&#44; to the levels of the molecules of endothelial dysfunction we observed an increased association with the presence of one or two components of MetS&#46; However&#44; there was no significant association with MetS status&#46; Ingelsson et al&#46;&#44; reported an association between the levels of sICAM-1&#44; sVCAM-1 and sE-selectin with MetS in a Bolivan adult population&#44; as well as other other inflamatory markers&#44; determinating the levels of sVCAM-1&#44; sE-selectin and reactive C protein were associated with insulin resistance&#46;<a class="elsevierStyleCrossRef" href="#bib0415"><span class="elsevierStyleSup">38</span></a> In the present study&#44; the levels of MCP-1 correlates with waist and hip circumference&#44; BMI&#44; fat&#37; and diastolic blood pressure&#46; Moreover&#44; MCP-1 correlates with the levels of VEGF-A&#44; sE-selectin and negatively with sVE-cadherin&#46; Kim et al&#46;&#44; in a Korean population found a similar correlationship with BMI &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;230&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41; and waist circumference &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;278&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#60;0&#46;009&#41; supporting the evidence that adiposity favors an inflammatory state accompanied by an increased recruitment of monocytes that favoring vascular endothelium damage and atherosclerotic plaque formation&#46;<a class="elsevierStyleCrossRef" href="#bib0360"><span class="elsevierStyleSup">27</span></a> In a study by Fortes et al&#46;&#44; they found a correlation among levels of MCP-1&#44; BMI &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;27&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#60;0&#46;005&#41;&#44; waist circumference &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;26&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#60;0&#46;005&#41; and other components of MetS in Brazilian adults with peritoneal adults&#44; which determined the components of Mets associated with an increment of MCP-1 in patients with peritoneal dialysis&#44; accelerating the atherosclerotic process&#46;<a class="elsevierStyleCrossRef" href="#bib0365"><span class="elsevierStyleSup">28</span></a></p><p id="par0115" class="elsevierStylePara elsevierViewall">In these study&#44; the levels of MCP-1 had a positive correlation with VEGF-A&#46; Stumpf et al&#46;&#44; reported a similar correlationship with young Germans with essential hypertension&#44; it is known that MCP-1 could be induced by VEGF-A&#46;<a class="elsevierStyleCrossRef" href="#bib0420"><span class="elsevierStyleSup">39</span></a> Several studies have determined a lineal relationship among molecules of cellular adhesion and inflamation and clinical and anthropometric parameters&#44; in this study the levels of sICAM-1 correlated with weight&#44; hip circumference&#44; BMI&#44; body fat &#37; and triglycerides&#59; and the VE-cadherin levels&#46; Glowinska-Olszewska et al<span class="elsevierStyleItalic">&#46;</span>&#44; reported a correlation between sICAM-1 and sVE-cadherin &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;21&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;09&#41;&#44; suggesting an interrelation in the activity and endothelial permeability&#46;<a class="elsevierStyleCrossRef" href="#bib0425"><span class="elsevierStyleSup">40</span></a> sE-selectin correlated with waist circumference&#44; hip&#44; BMI&#44; body fat &#37;&#44; triglycerides and VCAM-1 levels with triglycerides&#46; In another study&#44; it was reported a strong relationship between sE-selectin and BMI &#40;<span class="elsevierStyleItalic">r</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;52&#59; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;001&#41;&#44; whereas levels of VCAM-1 were associated with increased levels of triacylglycerol in Polish youth 19&#8211;22 years old&#44; increasing the risk of endothelial dysfunction&#46;<a class="elsevierStyleCrossRef" href="#bib0430"><span class="elsevierStyleSup">41</span></a> The relationship between the presence of clinical metabolic alterations and the levels of adhesion molecules could be linked to early stage atherogenic&#46;<a class="elsevierStyleCrossRef" href="#bib0390"><span class="elsevierStyleSup">33</span></a> It is known that the expression of sVCAM-1&#44; sICAM-1&#44; sE-selectin and VEGF-A is also related to troponin levels and levels of C-reactive protein&#44; these molecules are overexpressed in acute coronary syndromes&#44; evidencing an increased risk of endothelial dysfunction&#46;<a class="elsevierStyleCrossRef" href="#bib0435"><span class="elsevierStyleSup">42</span></a> The cutoff values for these molecules in young adults that will allow an accurate diagnosis or predict the development of MetS&#44; insulin resistance and cardiovascular disease is of great interest and clinical relevance&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">Finally&#44; the highest tertile of MCP-1 was significantly associated with the presence of abdominal obesity&#46; The sICAM-1 third tertile is associated to the presence of altered triglycerides and systolic blood pressure&#46; sE-selectin third tertile with the presence of abdominal obesity and triglycerides and also with the presence of one or two components of Mets&#46; Thompson et al&#46;&#44; conducted a similar study and found an association between the highest tertile of sICAM-1 and sE-selectin and MetS in an adult population of prediabetic and diabetic Mongolia&#46;<a class="elsevierStyleCrossRef" href="#bib0440"><span class="elsevierStyleSup">43</span></a> The levels of MCP-1 and VEGF-A is associated with the presence of abdominal obesity and the presence of one or two clinical metabolic alterations&#46; Madeshiya et al&#46;&#44; reported in Indian population that the levels of MCP-1 are associated with the presence of clinical metabolic and anthropometric alterations in subjects ages from 18 to 60 years old with MetS&#46;<a class="elsevierStyleCrossRef" href="#bib0445"><span class="elsevierStyleSup">44</span></a> Consistent levels of sICAM-1 and sVE-cadherin are associated with the presence of impaired systolic pressure&#46; Diabetic hypertensive Mexican adults showed higher levels of cell adhesion molecules&#44; attributing to the coexistence of hypertension and values of sICAM-1&#44; which could explain the increase in endothelial activation and vascular damage in diabetic patients with or without hypertension&#46;<a class="elsevierStyleCrossRef" href="#bib0380"><span class="elsevierStyleSup">31</span></a> In young population ages 10&#8211;18 years old with diabetes mellitus type 1&#44; the presence of circulating endothelial progenitor&#44; and its relationship with the levels of sICAM-1 and sVE-cadherin cells&#44; progenitor cells endothelial involved in the mobilization processes in the endothelium which increases the risk of atherosclerosis and reduces repairing capacity&#46;<a class="elsevierStyleCrossRef" href="#bib0425"><span class="elsevierStyleSup">40</span></a> Moreover&#44; sVCAM-1 third tertile was associated with the presence of hyperglycemia&#46; Haubner et al&#46;&#44; reported that <span class="elsevierStyleItalic">in vitro</span> human saphenous vein endothelial cells of diabetic&#44; incremented the expression of VCAM-1 induced by glucose&#46; Hyperglycemia initiates the expression of VCAM-1 which is related to the levels of MCP-1 in the endothelium of diabetic patients that could lead to the progression of endothelial dysfunction&#46;<a class="elsevierStyleCrossRef" href="#bib0450"><span class="elsevierStyleSup">45</span></a> We showed that high levels of inflammation markers and endothelial dysfunction were predictors of components of the metabolic syndrome in young population&#46; In conclusion&#44; levels of circulating MCP-1 and VEGF-A are associated with adiposity&#44; sVCAM-1 with the presence of altered fasting glucose&#44; sE-selectin with low HDL-c&#44; meanwhile the levels of sICAM-1 and sVE-cadeherin were associated with systolic blood pressure in young adults independently of other traditional risk factors&#44; which can be considered early markers for components from MetS in young adults&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">Although this study had sufficient statistical power to detect the association between inflammation and endothelial dysfunction molecules&#44; some limitations of our study should be considered&#44; we are not including young overweigh&#44; it could not completely exclude the influence of factors such as consumption of alcohol and tobacco&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Funding</span><p id="par0135" class="elsevierStylePara elsevierViewall">This work was supported by grant to IPGG &#40;UAGRO-PTC-047&#41; &#40;PROMEP&#47;103&#46;5&#47;12&#47;8035&#41;&#44; Apoyo para la incorporaci&#243;n de nuevos PTC del Programa de Mejoramiento del Profesorado&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Conflict of interest</span><p id="par0130" class="elsevierStylePara elsevierViewall">The authors have not transmitted any con&#64258;icts of interest concerning this article&#46;</p></span></span>"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Inflammation and endothelial dysfunction are considered the primary manifestations of the cardiovascular disease&#46; Studies have established a relationship among components of metabolic syndrome &#40;MetS&#41; with inflammatory markers and the loss of permeability&#44; vasoconstriction and vasodilatation endothelial&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objective</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">To determine the relationship among the concentrations of soluble endothelial dysfunction molecules and inflammation cytokines and components of the metabolic syndrome in young population&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Material and methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">A study was performed in 240 young adult students ages 18&#8211;28 years&#46; To define the presence of clinical and metabolic alterations and MetS the modified ATP-III criteria was considered&#46; In all subjects were determined sociodemographic characteristics&#44; anthropometric measures and the metabolic profile&#46; Circulating levels of MCP-1&#44; VEGF-A&#44; sICAM-1&#44; sVCAM-1&#44; sE-selectin and sVE-cadherin were determined by ELISA immunoassay &#40;Bioscience&#41;&#46; Statistical analysis was performed using STATA statistical software v&#46; 9&#46;2&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">From all the participants&#44; 44&#46;6&#37; had obesity&#44; 59&#46;9&#37; had abdominal obesity&#44; 49&#46;6&#37; low HDL-c and 16&#46;7&#37; high levels triglycerids&#46; The 16&#46;25&#37; of the population showed 3 or more components of the MetS&#46; Elevated MCP-1&#44; sICAM-1 and sE-selectin levels were linked to the presence of obesity&#46; In a model adjusted by age&#8211;gender&#44; high soluble levels of MCP-1 and VEGF-A were linked with abdominal obesity &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;83&#59; 1&#46;02&#8211;3&#46;28 and OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2&#46;03&#59; 1&#46;15&#8211;3&#46;56&#44; respectively&#41;&#44; as well as to the presence of the 2 components of MetS&#46; sVCAM-1 levels were associated with impaired glucose &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#46;74&#59; 1&#46;32&#8211;17&#46;0&#41;&#59; sE-selectin with low HDL-c &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#46;99&#59; 1&#46;05&#8211;3&#46;75&#41;&#44; although sICAM-1 and sVE-cadherin were associated with impaired systolic blood pressure &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#46;04&#59; 1&#46;24&#8211;13&#46;1 and OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>6&#46;28&#59; 1&#46;90&#8211;20&#46;7&#44; respectively&#41;&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Levels of circulating MCP-1 and VEGF-A were associated with adiposity&#44; levels of sVCAM-1 with the presence of impaired glucose&#44; sE-selectin with low HDL-c&#44; while the levels of sICAM-1 and sVE-cadherin were associated with impaired systolic blood pressure in young adults independently of other traditional risk factors&#46;</p></span>"
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        "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Introducci&#243;n</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">La inflamaci&#243;n y disfunci&#243;n endotelial son consideradas las primeras manifestaciones cl&#237;nicas de la enfermedad cardiovascular&#46; Diversos estudios han establecido una relaci&#243;n entre los componentes del s&#237;ndrome metab&#243;lico &#40;Smet&#41;&#44; los marcadores de inflamaci&#243;n y la p&#233;rdida de la permeabilidad&#44; la vasoconstricci&#243;n y la vasodilataci&#243;n endotelial&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Objetivo</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Determinar la relaci&#243;n entre la concentraci&#243;n de mol&#233;culas marcadores de disfunci&#243;n endotelial&#44; las citocinas inflamatorias y los componentes del Smet en poblaci&#243;n joven&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Material y m&#233;todos</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Estudio llevado a cabo en 240 estudiantes j&#243;venes-adultos con edades entre 18 y 28 a&#241;os&#46; Para definir la presencia de alteraciones cl&#237;nicas y metab&#243;licas se consideraron los criterios ATP-III modificados&#46; A todos los estudiantes se les determinaron caracter&#237;sticas sociodemogr&#225;ficas&#44; par&#225;metros antropom&#233;tricos y perfil metab&#243;lico&#46; Los niveles circulantes de MCP-1&#44; VEGF-A&#44; sICAM-1&#44; sVCAM-1&#44; sE-selectina y sVE-cadherina fueron determinados por inmunoan&#225;lisis ELISA &#40;Bioscience&#41;&#46; El an&#225;lisis estad&#237;stico fue realizado utilizando el <span class="elsevierStyleItalic">software</span> STATA v&#46; 9&#46;2&#46;</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Del total de participantes en el estudio&#44; el 44&#44;6&#37; present&#243; obesidad&#44; el 59&#44;9&#37; obesidad abdominal&#44; el 49&#44;6&#37; niveles bajos de c-HDL y el 16&#44;7&#37; niveles elevados de triglic&#233;ridos&#46; El 16&#44;25&#37; de la poblaci&#243;n mostr&#243; al menos 3 componentes de Smet&#46; Los niveles elevados de MCP-1&#44; sICAM-1 y sE-selectina se asociaron a la presencia de obesidad&#46; En un modelo ajustado por edad y g&#233;nero los niveles de MCP-1 y VEGF-A se asociaron a obesidad abdominal &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44;83&#59; 1&#44;02-3&#44;28 y OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>2&#44;03&#59; 1&#44;15-3&#44;56&#59; respectivamente&#41;&#44; as&#237; como tambi&#233;n a la presencia de 2 componentes de Smet&#46; Los niveles de sVCAM-1 se asociaron a la alteraci&#243;n de la glucosa &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#44;74&#59; 1&#44;32-17&#44;0&#41;&#44; sE-selectina a c-HDL bajo &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>1&#44;99&#59; 1&#44;05-3&#44;75&#41;&#44; mientras que sICAM-1 y sVE-cadherina se asociaron a la presencia de presi&#243;n arterial sist&#243;lica alterada &#40;OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>4&#44;04&#59; 1&#44;24-13&#44;1 y OR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>6&#44;28&#59; 1&#44;90-20&#44;7&#44; respectivamente&#41;&#46;</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Conclusi&#243;n</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Los niveles circulantes de MCP-1 y VEGF-A se asociaron a adiposidad&#44; los niveles de sVCAM-1 a la presencia de glucosa alterada&#44; sE-selectina a c-HDL bajo&#44; mientras que los niveles de sICAM-1 y sVE-cadherina se asociaron a presi&#243;n arterial sist&#243;lica alterada en adultos j&#243;venes&#44; independientemente de otros factores tradicionales de riesgo cardiovascular&#46;</p></span>"
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        "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as&#58; Guzm&#225;n-Guzm&#225;n IP&#44; Zaragoza-Garc&#237;a O&#44; Vences-Vel&#225;zquez A&#44; Castro-Alarc&#243;n N&#44; Mu&#241;oz-Valle JF&#44; Parra-Rojas I&#46; Concentraciones circulantes de MCP-1&#44; VEGF-A&#44; sICAM-1&#44; sVCAM-1&#44; sE-selectina y sVE-cadherina&#58; su relaci&#243;n con componentes del s&#237;ndrome metab&#243;lico en poblaci&#243;n joven&#46; Med Clin &#40;Barc&#41;&#46; 2016&#59;147&#58;427&#8211;434&#46;</p>"
      ]
    ]
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        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
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          "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Data given in n &#40;percentages&#41;&#46; DBP &#40;diastolic blood pressure&#41;&#59; SBP &#40;systolic blood pressure&#41;&#59; HDL-c &#40;cholesterol of high density lipoproteins&#41;&#59; MetS &#40;metabolic syndrome&#41;&#59; MetS defined according to the modified ATPIII definition for Asians&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Characteristic&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Frequency n &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Obesity</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">133 &#40;55&#46;42&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">107 &#40;44&#46;58&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Abdominal obesity</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">96 &#40;40&#46;17&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">143 &#40;59&#46;83&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">SBP &#40;mmHg&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#60;130<span class="elsevierStyleHsp" style=""></span>mmHg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">222 &#40;93&#46;67&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#8805;130<span class="elsevierStyleHsp" style=""></span>mmHg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">15 &#40;6&#46;33&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">DBP &#40;mmHg&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#60;85<span class="elsevierStyleHsp" style=""></span>mmHg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">220 &#40;92&#46;83&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#8805;85<span class="elsevierStyleHsp" style=""></span>mmHg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">17 &#40;7&#46;17&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Glucose &#40;mg&#47;dL&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#60;100<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">228 &#40;95&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#8805;100<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">12 &#40;5&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Triglycerides &#40;mg&#47;dL&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#60;150<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">200 &#40;83&#46;33&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#8805;150<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">40 &#40;16&#46;67&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">HDL-c &#40;mg&#47;dL&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#62;40&#47;&#62;50<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">119 &#40;50&#46;42&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#60;40&#47;&#60;50<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">117 &#40;49&#46;58&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">MetS</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">201 &#40;83&#46;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39 &#40;16&#46;25&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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        "descripcion" => array:1 [
          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Frequency of clinical metabolic alterations and MetS in young population&#46;</p>"
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      1 => array:8 [
        "identificador" => "tbl0010"
        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
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        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at2"
            "detalle" => "Table "
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          "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Data of the mean were obtained using the statistical test of Mann&#8211;Whitney <span class="elsevierStyleItalic">U</span> test &#40;5th&#8211;95th&#41;&#46; The <span class="elsevierStyleItalic">p</span> value &#60;0&#46;05 are considered statistically significant&#46; DBP &#40;diastolic blood pressure&#41;&#59; HDL-c &#40;cholesterol of high density lipoproteins&#41;&#59; MCP-1 &#40;monocyte-chemoattractant-protein-1&#41;&#59; MetS &#40;metabolic syndrome&#41;&#59; SBP &#40;systolic blood pressure&#41;&#59; sE-selectin &#40;soluble E-selectin&#41;&#59; sICAM-1 &#40;soluble intercellular adhesion molecule-1&#41;&#59; sVCAM-1 &#40;soluble vascular cell adhesion molecule-1&#41;&#59; sVE-cadherin &#40;soluble vascular endothelial cadherin&#41; and VEGF-A &#40;vascular endothelial growth factor-A&#41;&#46;</p>"
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              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Characteristic&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">MCP-1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">VEGF-A&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">sICAM-1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">sVCAM-1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">sE-selectin&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">sVE-cadherin&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry  " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">Group</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Normal weight&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">223&#46;54 &#40;82&#46;22&#8211;529&#46;90&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">119&#46;28 &#40;31&#46;53&#8211;482&#46;08&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">310&#46;89 &#40;162&#46;1&#8211;1101&#46;53&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">537&#46;85 &#40;242&#46;32&#8211;1411&#46;27&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">64&#46;82 &#40;32&#46;58&#8211;107&#46;25&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;93 &#40;1&#46;28&#8211;4&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Obesity&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">271&#46;50 &#40;125&#46;10&#8211;664&#46;85&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">125&#46;43 &#40;31&#46;50&#8211;496&#46;78&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">359&#46;02 &#40;216&#46;94&#8211;1582&#46;29&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">590&#46;75 &#40;228&#46;02&#8211;1340&#46;37&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">79&#46;07 &#40;23&#46;11&#8211;129&#46;61&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;89 &#40;1&#46;08&#8211;9&#46;21&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;494&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;615&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;287&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">Abdominal obesity</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">218&#46;56 &#40;93&#46;70&#8211;520&#46;10&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">106&#46;40 &#40;31&#46;30&#8211;449&#46;20&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">312&#46;58 &#40;170&#46;16&#8211;1237&#46;88&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">574&#46;07 &#40;244&#46;17&#8211;1411&#46;27&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">64&#46;45 &#40;33&#46;62&#8211;108&#46;92&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;05 &#40;1&#46;20&#8211;29&#46;52&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">255&#46;69 &#40;91&#46;50&#8211;622&#46;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">129&#46;19 &#40;31&#46;62&#8211;496&#46;78&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">340&#46;39 &#40;194&#46;76&#8211;1556&#46;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">567&#46;18 &#40;228&#46;18&#8211;1265&#46;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">75&#46;71 &#40;23&#46;22&#8211;123&#46;08&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;12 &#40;0&#46;96&#8211;25&#46;65&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;038&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;073&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;112&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;375&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;022&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;491&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">SBP</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#60;130<span class="elsevierStyleHsp" style=""></span>mmHg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">237&#46;56 &#40;92&#46;35&#8211;615&#46;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">122&#46;80 &#40;31&#46;62&#8211;496&#46;78&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">323&#46;87 &#40;192&#46;66&#8211;1398&#46;47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">559&#46;85 &#40;239&#46;95&#8211;1398&#46;47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">71&#46;30 &#40;32&#46;58&#8211;118&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;07 &#40;0&#46;96&#8211;26&#46;60&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#8805;130<span class="elsevierStyleHsp" style=""></span>mmHg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">239&#46;36 &#40;63&#46;50&#8211;479&#46;91&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">106&#46;57 &#40;31&#46;46&#8211;398&#46;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">826&#46;11 &#40;250&#46;00&#8211;1501&#46;49&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">609&#46;47 &#40;244&#46;17&#8211;967&#46;90&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">32&#46;62 &#40;12&#46;50&#8211;119&#46;84&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">13&#46;64 &#40;0&#46;59&#8211;38&#46;24&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;973&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;434&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;015&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;847&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;126&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;007&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">DBP</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#60;85<span class="elsevierStyleHsp" style=""></span>mmHg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">237&#46;56 &#40;93&#46;70&#8211;615&#46;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">123&#46;41 &#40;31&#46;65&#8211;489&#46;43&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">324&#46;42 &#40;177&#46;82&#8211;1501&#46;49&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">565&#46;10 &#40;237&#46;58&#8211;1411&#46;27&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">70&#46;24 &#40;28&#46;52&#8211;118&#46;00&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;16 &#40;1&#46;08&#8211;28&#46;61&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#8805;85<span class="elsevierStyleHsp" style=""></span>mmHg&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">226&#46;31 &#40;60&#46;00&#8211;479&#46;91&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">107&#46;86 &#40;31&#46;23&#8211;1100&#46;74&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">351&#46;96 &#40;193&#46;34&#8211;3740&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">677&#46;75 &#40;244&#46;17&#8211;1340&#46;37&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">79&#46;27 &#40;7&#46;65&#8211;194&#46;18&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;86 &#40;0&#46;59&#8211;34&#46;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;956&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;775&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;340&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;925&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;798&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;059&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">Glucose</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#60;100<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">238&#46;69 &#40;90&#46;66&#8211;600&#46;45&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">123&#46;41 &#40;31&#46;53&#8211;496&#46;78&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">328&#46;15 &#40;192&#46;66&#8211;1501&#46;49&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">555 &#40;242&#46;32&#8211;1362&#46;76&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">71&#46;13 &#40;30&#46;37&#8211;115&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;11 &#40;1&#46;20&#8211;28&#46;61&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#8805;100<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">226&#46;50 &#40;115&#46;98&#8211;1087&#46;40&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">93&#46;35 &#40;31&#46;50&#8211;443&#46;54&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">295&#46;1 &#40;208&#46;06&#8211;722&#46;33&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">750&#46;93 &#40;255&#46;85&#8211;1265&#46;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">65&#46;77 &#40;23&#46;11&#8211;129&#46;61&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;91 &#40;0&#46;59&#8211;19&#46;05&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;319&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;164&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;121&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;249&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;197&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">Triglycerides</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#60;150<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">230&#46;30 &#40;87&#46;28&#8211;600&#46;45&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">110&#46;39 &#40;31&#46;45&#8211;511&#46;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">323&#46;87 &#40;177&#46;21&#8211;1449&#46;98&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">582&#46;2 &#40;242&#46;32&#8211;1422&#46;46&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">69&#46;45 &#40;30&#46;37&#8211;114&#46;05&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;13 &#40;0&#46;96&#8211;27&#46;65&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#8805;150<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">272&#46;44 &#40;162&#46;48&#8211;577&#46;20&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">154&#46;94 &#40;46&#46;90&#8211;443&#46;51&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">339&#46;02 &#40;202&#46;82&#8211;1516&#46;64&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">505&#46;98 &#40;228&#46;02&#8211;1130&#46;07&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">77&#46;21 &#40;25&#46;1&#8211;145&#46;37&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;88 &#40;1&#46;26&#8211;32&#46;54&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;051&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;045&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;725&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;355&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;234&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;141&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">HDL-c</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleMonospace">&#62;</span>40&#47;&#62;50<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">247&#46;85 &#40;93&#46;70&#8211;615&#46;30&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">119&#46;28 &#40;31&#46;41&#8211;449&#46;20&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">318&#46;82 &#40;170&#46;16&#8211;1101&#46;53&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">581&#46;05 &#40;268&#46;38&#8211;1362&#46;76&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">69&#46;28 &#40;25&#46;10&#8211;119&#46;47&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;00 &#40;0&#46;94&#8211;19&#46;62&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>&#60;40&#47;&#60;50<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">237&#46;56 &#40;82&#46;22&#8211;600&#46;45&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">125&#46;43 &#40;31&#46;62&#8211;608&#46;10&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">332&#46;54 &#40;196&#46;37&#8211;1591&#46;38&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">537&#46;85 &#40;228&#46;10&#8211;1332&#46;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">75&#46;70 &#40;35&#46;31&#8211;117&#46;58&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;20 &#40;1&#46;38&#8211;29&#46;52&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;871&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;352&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;102&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;792&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;082&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;031&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry  " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">MetS</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">231&#46;98 &#40;87&#46;28&#8211;600&#46;45&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">119&#46;28 &#40;31&#46;46&#8211;532&#46;22&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">329&#46;84 &#40;176&#46;61&#8211;1556&#46;03&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">563&#46;66 &#40;244&#46;17&#8211;1411&#46;27&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">69&#46;60 &#40;32&#46;22&#8211;114&#46;29&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">2&#46;16 &#40;0&#46;94&#8211;28&#46;61&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">274&#46;80 &#40;146&#46;03&#8211;447&#46;77&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">134&#46;16 &#40;36&#46;91&#8211;351&#46;58&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">321&#46;17 &#40;216&#46;94&#8211;1133&#46;85&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">569&#46;27 &#40;228&#46;02&#8211;1131&#46;42&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">77&#46;8 &#40;23&#46;22&#8211;123&#46;08&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;89 &#40;1&#46;28&#8211;32&#46;54&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">p</span> value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;126&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;430&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;418&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;789&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;177&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;102&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Characteristics&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">MCP-1</th><th class="td" title="table-head  " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">VEGF-A</th><th class="td" title="table-head  " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">sICAM-1</th><th class="td" title="table-head  " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">sVCAM-1</th><th class="td" title="table-head  " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">sE-selectin</th><th class="td" title="table-head  " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">sVE-cadherin</th></tr><tr title="table-row"><th class="td" title="table-head  " align="" valign="top" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">r</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">r</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">r</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">r</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">r</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">r</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Weight &#40;kg&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;298&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;054&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;571&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;211&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;027&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;104&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;280&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;233&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;017&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;065&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;505&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Waist circumference &#40;cm&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;307&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;041&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;667&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;121&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;209&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;056&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;557&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;272&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;066&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;498&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Hip circumference &#40;cm&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;213&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;026&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;116&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;191&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;208&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;029&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;035&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;714&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;233&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;017&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;021&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;827&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">BMI &#40;kg&#47;m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;284&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;126&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;302&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;243&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;062&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;522&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;242&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;013&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;003&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;972&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Body fat &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;322&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;136&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;155&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;299&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;057&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;553&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;268&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;005&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;058&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;550&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">MCP-1 &#40;pg&#47;mL&#41;</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;270&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;041&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;532&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;040&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;136&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8722;0&#46;077&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;257&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;968&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;272&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">&#8211;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;026&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;710&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;136&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;182&nbsp;\t\t\t\t\t\t\n
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          "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">Reference category &#60;3&#176; tertile levels&#46; The <span class="elsevierStyleItalic">p</span> value &#60;0&#46;05 are considered statistically significant&#46; DBP &#40;diastolic blood pressure&#41;&#59; HDL-c &#40;cholesterol of high density lipoproteins&#41;&#59; SBP &#40;systolic blood pressure&#41;&#59; sE-selectin &#40;soluble E-selectin&#41;&#59; sICAM-1 &#40;soluble intercellular adhesion molecule-1&#41;&#59; sVCAM-1 &#40;soluble vascular cell adhesion molecule-1&#41;&#59; sVE-cadherin &#40;soluble vascular endothelial cadherin&#41; and VEGF-A &#40;vascular endothelial growth factor-A&#41;&#46;</p><p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Adjusted model for age and gender&#46;</p>"
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                  \t\t\t\t\tvoid\n
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                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR &#40;IC 95&#37;&#41; <span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR &#40;IC 95&#37;&#41; <span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR &#40;IC 95&#37;&#41; <span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR &#40;IC 95&#37;&#41; <span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR &#40;IC 95&#37;&#41; <span class="elsevierStyleItalic">p</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Abdominal obestity</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;95 &#40;1&#46;08&#8211;3&#46;55&#41; 0&#46;016&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;17 &#40;0&#46;65&#8211;2&#46;14&#41; 0&#46;560&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;94 &#40;0&#46;51&#8211;1&#46;76&#41; 0&#46;856&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;71 &#40;0&#46;88&#8211;3&#46;38&#41; 0&#46;087&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;22 &#40;0&#46;65&#8211;2&#46;32&#41; 0&#46;496&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age&#44; gender&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;83 &#40;1&#46;02&#8211;3&#46;28&#41; 0&#46;042&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;99 &#40;0&#46;55&#8211;1&#46;8&#41; 0&#46;993&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;67 &#40;0&#46;89&#8211;3&#46;14&#41; 0&#46;110&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Glucose</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;55 &#40;0&#46;93&#8211;2&#46;29&#41; 0&#46;374&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;19 &#40;0&#46;004&#8211;1&#46;43&#41; 0&#46;088&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;30 &#40;1&#46;09&#8211;20&#46;11&#41; 0&#46;012&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;45 &#40;0&#46;34&#8211;5&#46;55&#41; 0&#46;536&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;17 &#40;0&#46;003&#8211;1&#46;24&#41; 0&#46;062&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age&#44; gender&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;89 &#40;0&#46;25&#8211;3&#46;18&#41; 0&#46;863&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;55 &#40;0&#46;14&#8211;2&#46;17&#41; 0&#46;398&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;14 &#40;0&#46;01&#8211;1&#46;22&#41; 0&#46;077&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;74 &#40;1&#46;32&#8211;17&#46;0&#41; 0&#46;017&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;19 &#40;0&#46;34&#8211;4&#46;15&#41; 0&#46;780&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;12 &#40;0&#46;04&#8211;1&#46;01&#41; 0&#46;052&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">HDL-c</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;36 &#40;0&#46;76&#8211;2&#46;44&#41; 0&#46;264&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;37 &#40;0&#46;78&#8211;2&#46;42&#41; 0&#46;237&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;27 &#40;0&#46;71&#8211;2&#46;29&#41; 0&#46;377&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;28 &#40;0&#46;70&#8211;2&#46;35&#41; 0&#46;382&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;89 &#40;0&#46;98&#8211;3&#46;62&#41; 0&#46;037&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;81 &#40;0&#46;97&#8211;3&#46;40&#41; 0&#46;044&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age&#44; gender&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;42 &#40;0&#46;80&#8211;2&#46;51&#41; 0&#46;226&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;31 &#40;0&#46;75&#8211;2&#46;28&#41; 0&#46;327&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;46 &#40;0&#46;81&#8211;2&#46;61&#41; 0&#46;199&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;48 &#40;0&#46;81&#8211;2&#46;69&#41; 0&#46;195&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;99 &#40;1&#46;05&#8211;3&#46;75&#41; 0&#46;033&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;76 &#40;0&#46;96&#8211;3&#46;24&#41; 0&#46;067&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Triglicerydes</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;53 &#40;0&#46;71&#8211;3&#46;25&#41; 0&#46;223&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;31 &#40;0&#46;61&#8211;2&#46;76&#41; 0&#46;437&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;64 &#40;0&#46;26&#8211;1&#46;45&#41; 0&#46;265&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;73 &#40;0&#46;30&#8211;1&#46;65&#41; 0&#46;427&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;26 &#40;0&#46;55&#8211;2&#46;80&#41; 0&#46;535&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;36 &#40;0&#46;11&#8211;0&#46;97&#41; 0&#46;030&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age&#44; gender&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;55 &#40;0&#46;76&#8211;3&#46;16&#41; 0&#46;227&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;38 &#40;0&#46;68&#8211;2&#46;81&#41; 0&#46;362&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;54 &#40;0&#46;24&#8211;1&#46;21&#41; 0&#46;136&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;68 &#40;0&#46;31&#8211;1&#46;50&#41; 0&#46;343&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;19 &#40;0&#46;55&#8211;2&#46;58&#41; 0&#46;646&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;34 &#40;0&#46;13&#8211;0&#46;90&#41; 0&#46;030&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">SBP</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;08 &#40;0&#46;27&#8211;3&#46;74&#41; 0&#46;892&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;82 &#40;0&#46;21&#8211;2&#46;74&#41; 0&#46;727&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;07 &#40;1&#46;16&#8211;15&#46;97&#41; 0&#46;009&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;07 &#40;0&#46;27&#8211;3&#46;74&#41; 0&#46;895&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;37 &#40;0&#46;27&#8211;6&#46;05&#41; 0&#46;628&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;52 &#40;1&#46;33&#8211;17&#46;47&#41; 0&#46;008&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age&#44; gender&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;05 &#40;0&#46;32&#8211;3&#46;37&#41; 0&#46;928&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;85 &#40;0&#46;27&#8211;2&#46;69&#41; 0&#46;794&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">4&#46;04 &#40;1&#46;24&#8211;13&#46;10&#41; 0&#46;020&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;89 &#40;0&#46;27&#8211;2&#46;29&#41; 0&#46;854&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;34 &#40;0&#46;35&#8211;5&#46;13&#41; 0&#46;663&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">6&#46;28 &#40;1&#46;90&#8211;20&#46;70&#41; 0&#46;003&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">DBP</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;17 &#40;0&#46;33&#8211;3&#46;73&#41; 0&#46;763&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;90 &#40;0&#46;26&#8211;2&#46;77&#41; 0&#46;841&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;13 &#40;0&#46;33&#8211;3&#46;51&#41; 0&#46;807&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;31 &#40;0&#46;36&#8211;4&#46;32&#41; 0&#46;617&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;89 &#40;0&#46;19&#8211;3&#46;37&#41; 0&#46;860&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;40 &#40;0&#46;07&#8211;1&#46;53&#41; 0&#46;156&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age&#44; gender&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;16 &#40;0&#46;40&#8211;3&#46;35&#41; 0&#46;775&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;92 &#40;0&#46;32&#8211;2&#46;60&#41; 0&#46;880&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;01 &#40;0&#46;35&#8211;2&#46;88&#41; 0&#46;981&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;36 &#40;0&#46;46&#8211;4&#46;03&#41; 0&#46;575&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;79 &#40;0&#46;22&#8211;2&#46;77&#41; 0&#46;716&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;34 &#40;0&#46;09&#8211;1&#46;28&#41; 0&#46;114&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">1 alterations</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;12 &#40;0&#46;89&#8211;5&#46;06&#41; 0&#46;089&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;41 &#40;0&#46;92&#8211;2&#46;17&#41; 0&#46;111&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;27 &#40;0&#46;58&#8211;2&#46;75&#41; 0&#46;541&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;84 &#40;0&#46;81&#8211;4&#46;15&#41; 0&#46;139&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;38 &#40;0&#46;58&#8211;3&#46;25&#41; 0&#46;458&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;93 &#40;0&#46;81&#8211;4&#46;56&#41; 0&#46;133&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age&#44; gender&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;19 &#40;0&#46;91&#8211;5&#46;28&#41; 0&#46;080&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;51 &#40;1&#46;11&#8211;5&#46;67&#41; 0&#46;026&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;15 &#40;0&#46;52&#8211;2&#46;55&#41; 0&#46;719&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;23 &#40;0&#46;96&#8211;5&#46;19&#41; 0&#46;062&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;36 &#40;0&#46;57&#8211;3&#46;24&#41; 0&#46;485&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;66 &#40;0&#46;69&#8211;3&#46;99&#41; 0&#46;252&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">2 alterations</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#46;74 &#40;1&#46;57&#8211;8&#46;90&#41; 0&#46;003&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;69 &#40;1&#46;08&#8211;2&#46;64&#41; 0&#46;019&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;65 &#40;0&#46;76&#8211;3&#46;62&#41; 0&#46;204&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;22 &#40;0&#46;52&#8211;2&#46;86&#41; 0&#46;642&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;22 &#40;0&#46;92&#8211;5&#46;35&#41; 0&#46;074&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;41 &#40;1&#46;02&#8211;5&#46;71&#41; 0&#46;045&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age&#44; gender&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#46;86 &#40;1&#46;61&#8211;9&#46;28&#41; 0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">3&#46;21 &#40;1&#46;40&#8211;7&#46;33&#41; 0&#46;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;47 &#40;0&#46;66&#8211;3&#46;28&#41; 0&#46;338&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;40 &#40;0&#46;58&#8211;3&#46;36&#41; 0&#46;447&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;18 &#40;0&#46;89&#8211;5&#46;29&#41; 0&#46;084&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;08 &#40;0&#46;86&#8211;5&#46;02&#41; 0&#46;102&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">&#8805;3 alterations</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;25 &#40;0&#46;83&#8211;6&#46;04&#41; 0&#46;107&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;39 &#40;0&#46;84&#8211;2&#46;31&#41; 0&#46;198&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;07 &#40;0&#46;42&#8211;2&#46;73&#41; 0&#46;877&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;72 &#40;0&#46;67&#8211;4&#46;39&#41; 0&#46;253&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;22 &#40;0&#46;85&#8211;5&#46;82&#41; 0&#46;103&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">1&#46;05 &#40;0&#46;37&#8211;2&#46;94&#41; 0&#46;918&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age&#44; gender&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;32 &#40;0&#46;85&#8211;6&#46;30&#41; 0&#46;097&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;14 &#40;0&#46;83&#8211;5&#46;52&#41; 0&#46;112&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;93 &#40;0&#46;36&#8211;2&#46;42&#41; 0&#46;888&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;02 &#40;0&#46;77&#8211;5&#46;29&#41; 0&#46;153&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">2&#46;14 &#40;0&#46;80&#8211;5&#46;68&#41; 0&#46;127&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="left" valign="top">0&#46;87 &#40;0&#46;30&#8211;2&#46;51&#41; 0&#46;804&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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              "imagenFichero" => array:1 [
                0 => "xTab1325838.png"
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        "descripcion" => array:1 [
          "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Association of inflammation and endothelial dysfunction molecules and metabolic syndrome components&#46;</p>"
        ]
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