Effect of two different dietary fatty acid profiles and variant rs266729 in ADIPOQ on weight loss and adiponectin concentrations

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Primo, O. Izaola, R. Aller" "autores" => array:4 [ 0 => array:4 [ "nombre" => "D.A." "apellidos" => "de Luis" "email" => array:1 [ 0 => "dadluis@yahoo.es" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "*" "identificador" => "cor0005" ] ] ] 1 => array:2 [ "nombre" => "D." "apellidos" => "Primo" ] 2 => array:2 [ "nombre" => "O." "apellidos" => "Izaola" ] 3 => array:2 [ "nombre" => "R." "apellidos" => "Aller" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Center of Investigation of Endocrinology and Nutrition, Medicine School and Department of Endocrinology and Investigation, Hospital Clinico Universitario, University of Valladolid, Valladolid, Spain" "identificador" => "aff0005" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Efecto de dos perfiles diferentes de ácidos grasos en la dieta y variante en el gen rs266729 de adiponectina sobre la pérdida de peso y los niveles de adiponectina" ] ] "textoCompleto" => "IntroductionAdiponectin is the most quantitatively abundant adipokine secreted by adipocytes, which is known to regulate insulin sensitivity and glucose metabolism<a class="elsevierStyleCrossRef" href="#bib0135">1</a> and concentrations of adiponectin are reduced in obese subjects. Adiponectin is encoded by the adiponectin C1Q and collagen domain containing (ADIPOQ) gene, which located on chromosome 3q27. In humans, associations have been found between many polymorphisms in ADIPOQ and adiponectin concentrations, insulin resistance and obesity.<a class="elsevierStyleCrossRef" href="#bib0140">2</a> The most common single nucleotide polymorphism (SNP) of this gene is rs266729 (−11,377C>G), it is located in the proximal promoter region of the ADIPOQ gene. Data in the literature indicates that ADIPOQ rs266729 polymorphism functionally regulates adiponectin promoter activity and adiponectin levels.<a class="elsevierStyleCrossRef" href="#bib0145">3</a> Moreover, ADIPOQ rs266729 has been found to be correlated with circulating adiponectin levels in obesity.<a class="elsevierStyleCrossRef" href="#bib0150">4</a> This ADIPOQ variant has been identified to be associated with high body mass index, insulin resistance and diabetic nephropathy.<a class="elsevierStyleCrossRefs" href="#bib0155">5–7</a>The effect of weight loss or dietary interventions on metabolic response taking to account this SNP is scarce in the literature. For example, the Finnish Diabetes Prevention Study (Caucasian population) showed that the genetic variant of ADIPOQ gene rs266729 contributes to variation in body weight and serum adiponectin concentrations.<a class="elsevierStyleCrossRef" href="#bib0170">8</a> Hsiao et al.<a class="elsevierStyleCrossRef" href="#bib0175">9</a> show that this genetic variant may contribute to weight reduction in response to an antiobesity drug such as sibutramine. A recent study<a class="elsevierStyleCrossRef" href="#bib0180">10</a> has demonstrated that C allele of this genetic variant is a predictor of better lipid profile after weight loss secondary to a bariatric surgery. This SNP influence in the modification of adiponectin levels, insulin and HOMA.IR after a huge loss of weight secondary to a biliopancreatic diversion,<a class="elsevierStyleCrossRef" href="#bib0185">11</a> too. In addition, the effect of modifying the fatty acid profiles of the diet has not been compared, and it may be a relevant fact when this polymorphism modifies the metabolic response secondary to weight lossOur aim was to analyze the effects of rs266729 of ADIPOQ gene on weight loss, cardiovascular risk factors and serum adipokine levels after two hypocaloric diets with different dietary fatty profile.Subjects and methodsSubjects and clinical investigationWe conducted a prospective study approved by the Ethics Committee (HCUVA Committee 05/2017) and it was in accordance with the guidelines laid down in the Declaration of Helsinki. The intent-to-treat population consisted of 362 unrelated obese patients in a randomized clinical trial with two different diets. Subjects were recruited from Primary Care Physicians of an urban area of Spain. Data of these subjects were collected at the beginning and after 12 weeks of dietary treatment and all participants provided written informed consent. All the recruited patients fulfilled the next inclusion criteria; age between 25 and 65 years old and a body mass index (BMI)≥30kg/m2. Subjects with a history of thyroid disease, cardiovascular disease, renal or hepatic disorders, history of alcoholism, malignant tumor, and within the 6 months before the study were receiving medications known to influence lipid (hormonal therapy, glucocorticoids and anti-inflammatory drugs) or glucose levels (sulfonylureas, thiazolidinedione, insulin, GLP-1 receptor antagonists, DPP-IV inhibitors, metformin) were excluded.The first endpoint was body weight loss after 12 weeks versus baseline. The second endpoints were cardiovascular risk factors and serum adiponectine changes. All anthropometric parameters (weight, height, body mass index (BMI), waist circumference, fat mass by impedance) and blood pressure were recorded at basal time and after 12 weeks. Blood samples were collected in EDTA-treated and plain tubes after a 12h overnight fast for analysis of insulin, total cholesterol, LDL-cholesterol, HDL-cholesterol, triglycerides and leptin, total adiponectin and resistin levels. The variant of ADIPOQ gene was assessed at basal time by polymerase chain reaction at real-time.Dietary interventionThe subjects in this interventional study received individualized counseling on diet and exercise. As above-mentioned, patients were randomly allocated to one of two diets for a period of 12 weeks (Diet M, enriched in monounsaturated fatty acids) and Diet P (enriched in polyunsaturated fatty acids) restricting 500 daily calories to the usual intake. The target percentage of energy derived from carbohydrate, fat and protein in the two diets were; Diet M P (46.6% of carbohydrates, 34.1% of lipids and 19.2% of proteins) and Diet P (45.7% of carbohydrates, 34.4% of lipids and 19.9% of proteins). The distribution of fats in Diet M was; 21.7% of saturated fats, 67.5% of monounsaturated fats and 10.8% of polyunsaturated fats. The distribution of fats in Diet P was; 21.8% of saturated fats, 55.5% of monounsaturated fats and 22.7% of polyunsaturated fats (7g per day of w-6 fatty acids, 2g per day of w-3 fatty acids and a ratio w6/w3 of 3.5). The recommended physical activity consisted of an aerobic exercise at least two times per week (60min each).All enrolled subjects received instruction to record their daily dietary intake for seven non-consecutive days including a weekend day. A dietitian assessed this adherence each fourteen days with a phone call in order to improve accomplishment. Dietary records were analyzed using a computer-based data evaluation system, including national composition food tables as reference<a class="elsevierStyleCrossRef" href="#bib0190">12</a> (Dietosource®, Ge,Swi). The patient with a self-reported questionnaire recorded the exercise activity.Biochemical and adipokine assaysPlasma glucose levels were measured using an automated glucose oxidase method (Glucose analyser 2, Beckman Instruments, Fullerton, California). Insulin was measured by radioimmunoanalysis (RIA) (RIA Diagnostic Corporation, Los Angeles, CA) with a sensitivity of 0.5mUI/L (normal range 0.5–30mUI/L)<a class="elsevierStyleCrossRef" href="#bib0195">13</a> and the homeostasis model assessment for insulin resistance (HOMA-IR) was calculated using these values<a class="elsevierStyleCrossRef" href="#bib0200">14</a> with the next formula: HOMA-IR=(glucose×insulin/22.5). Serum total cholesterol and triglyceride concentrations were determined by enzymatic colorimetric assay (Technicon Instruments, Ltd., New York, N.Y., USA), while HDL cholesterol was determined enzymatically in the supernatant after precipitation of other lipoproteins with dextran sulphate-magnesium. LDL cholesterol was calculated using Friedewald formula.<a class="elsevierStyleCrossRef" href="#bib0205">15</a>All adipokine levels were measured by enzyme-linked immunosorbent assay (ELISA). Resistin was measured by ELISA (Biovendor Laboratory, Inc., Brno, Czech Republic) with a sensitivity of 0.2ng/ml with a normal range of 4–12ng/ml.<a class="elsevierStyleCrossRef" href="#bib0210">16</a> Leptin was measured by ELISA (Diagnostic Systems Laboratories, Inc., Texas, USA) with a sensitivity of 0.05ng/ml and a normal range of 10–100ng/ml.<a class="elsevierStyleCrossRef" href="#bib0215">17</a> Adiponectin was measured by ELISA (R&D systems, Inc., Mineapolis, USA) with a sensitivity of 0.246ng/ml and a normal range of 8.65–21.43ng/ml.<a class="elsevierStyleCrossRef" href="#bib0220">18</a>Genotyping ADIPOQ geneDNA was isolated from blood samples using QIAamp® DNA blood kit following the manufacture's instructions. To extract DNA we use 200uL of blood. Oligonucleotide primers and probes were designed with the Beacon Designer 5.0 (Premier Biosoft International®, LA, CA). The polymerase chain reaction (PCR) was carried out with 50ng of genomic DNA, 0.5μL of each oligonucleotide primer (primer forward: 5′-ACGTTGGATGATGTGTGGCTTGCAAGAACC-3′ and reverse 5′-ACGTTGGATGCAACATTCAACACCTTGGAC-3′ in a 2μL final volume (Termociclador Life Tecnologies, LA, CA). DNA was denaturated at 90°C for 2min; this was followed by 50 cycles of denaturation at 90°C for 20s, and annealing at 56.1°C for 50s). The PCR were run in a 25μL final volume containing 10.5μL of IQTM Supermix (Bio-Rad®, Hercules, CA) with hot start Taq DNA polymerase Hardy Weimberg equilibrium was assessed with a statistical test (Chi-square) to compare our expected and observed counts. The variant was in Hardy Weimberg equilibrium (p=0.28).Anthropometric parameters and blood pressure determinationWeight and height were measured with an electrical scale (Omrom, LA, CA) and a telescopic height-measuring instrument (Omrom, LA, CA). Body weight was measured in the morning while the subjects were minimally unclothed and not wearing shoes. Body mass index (BMI) was calculated as body weight (in kg) divided by height (in m2). Waist circumference (WC) was measured with a flexible non-stretchable measuring tape (Type SECA, SECA. Birmingham, UK). Bio impedance was used to determine body composition with an accuracy of 5g<a class="elsevierStyleCrossRef" href="#bib0225">19</a> (EFG, Akern, It). Blood pressure was measured twice after a 10min rest with a random zero mercury sphygmomanometer (Omrom, Los Angeles, Calif., USA), and averaged.Statistical analysisSample size was calculated to detect differences over 2kg in body weight loss with 90% power and 5% significance (n=170 in each dietary group). Numerical variables with normal distribution were analyzed with a two-tailed Student's t-test. Non-parametric variables were analyzed with the Mann–Whitney's U-test. Categorical variables were analyzed with the chi-square test, with Yates correction as necessary, and Fisher's test. The statistical analysis to evaluate the gene – diet interaction was a univariate ANCOVA using gender, and baseline weight. Correction for multiple hypothesis testing for single SNP analyses was performed. A Chi square test was used to evaluate the Hardy–Weinberg equilibrium. All analyses were performed under a dominant genetic model with rs266729 G-allele as the risk allele (GG+GC vs. CC). A p-value<0.05 was considered significant. All the data were analyzed using SPSS for Windows, version 19.0 software package (SPSS Inc., Chicago, IL).ResultsThree hundred and sixty two obese subjects were enrolled in the study (197 CC (53.6%), 142 CG (33.1%) and 23 GG (6.3%)). All patients completed the 12-weeks follow-up period without dropouts. The mean age of the all group was 49.1±7.2 years (range: 28–62) and the mean BMI 37.9±4.3kg/m2 (range: 31.8–40.3). Sex distribution was 260 women (71.8%) and 102 men (28.2%). Age was similar in both genotype groups (wild type (CC) vs. mutant type (CG+GG)) (48.1±7.1 years vs 49.9±6.0 years: ns). Sex distribution was similar in both genotype groups, males (27.1% vs 29.2%) and females (72.9% vs 70.8%).In the 177 subjects (97 CC as wild genotype and 68 CG/12 GG as mutant genotype (CG+GG)) treated with diet M, basal dietary intake with a 3 days written food record showed a calorie intake of 2008.6±302.1kcal/day with the next distribution of macronutrients: carbohydrate intake of 210.1±21.1g/day (44.0% of calories), fat intake of 81.1±12.3g/day (34.6% of calories) and protein intake of 87.2±17.1g/day (22.4% of calories). During the dietary intervention, these patients reached the right recommendations of the diet M; 1436.6 calories per day (45.0% of carbohydrates, 34.1% of lipids and 20.9% of proteins). The distribution of dietary fats was; 20.1% of saturated fats, 68.1% of monounsaturated fats and 11.8% of polyunsaturated fats. Physical activity was similar in both genotype groups (54.1±14.3min/week vs 52.3±13.2min/week: p=0.52).In the 175 obese patients (100 CC as wild genotype and 74 CG/11 GG as mutant genotype (CG+GG)) treated with diet P, basal evaluation of dietary intakes with a 3 days written food record showed a calorie intake of 2009.8±342.4kcal/day with the next macronutrient distribution: carbohydrate intake of 210.1±50.0g/day (44.2% of calories), fat intake of 80.0±21.3g/day (35.6% of calories) and protein intake of 86.0±27.1g/day (20.2% of calories). During the 3 months of dietary intervention, these obese subjects reached the recommendations of diet P; 1468.1 calories per day (45.1% of carbohydrates, 34.3% of lipids and 20.6% of proteins). The distribution of fats was; 20.3% of saturated fats, a 53.9% of monounsaturated fats and a 23.8% of polyunsaturated fats (6.9g per day of w-6 fatty acids, 1.8g per day of w-3 fatty acids and a ratio w6/w3 of 3.7). Physical activity was similar in both genotype groups (54.1±12.3min/week vs 55.1±1302min/week: p=0.46).As indicated in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>, there were no significant genotype related differences (baseline and after dietary intervention) in anthropometric parameters and blood pressure. After both dietary caloric restriction strategies with two different profile of dietary fatty acids, body weight, body mass index (BMI), fat mass, waist circumference and systolic blood pressure decreased. Obese patients with both genotypes (CC vs. CG+GG) after Diet M showed similar improvement in body weight (−4.8±1.3kg vs. −4.9±1.3kg: p=0.31), BMI (−2.0±0.2kg/m2 vs. −1.8±0.5kg/m2: p=0.16), fat mass (−3.3±1.2kg vs. −3.5±1.2kg: p=0.41), waist circumference (−3.3±1.1cm vs. −3.4±0.9cm: p=0.22) and systolic blood pressure (−6.0±3.0mmHg vs. −4.7±2.3mmHg: p=0.41). After caloric restriction with Diet P, both genotype groups (CC vs. CG+GG) showed also similar decrease in body weight (−4.1±1.2kg vs. −4.6±1.3kg: p=0.23), BMI (−2.1±0.1kg/m2 vs. −2.2±0.3kg/m2: p=0.38), fat mass (−3.1±1.2kg vs. −3.4±1.4kg: p=0.61), waist circumference (−3.9±1.3cm vs. −4.1±1.2cm: p=0.41) and systolic blood pressure (−4.2±3.1mmHg vs. −5.7±2.2mmHg: p=0.31), too. The improvements in all below-mentioned parameters were similar with both diets.<elsevierMultimedia ident="tbl0005"></elsevierMultimedia><a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows biochemical parameters. No statistical differences were detected among baseline and post-treatment values of these variables between both genotypes (CC vs. CG+GG. After dietary intervention with a monounsaturated enriched hypocaloric diet (Diet M), only subjects with CC genotype showed a significant improvement in total cholesterol levels (CC vs. CG+GG) (−9.0±1.1mU/L vs. −4.5±2.4mg/dl: p=0.01), LDL-cholesterol (−6.0±1.1mg/dl vs. −3.0±0.9mg/dL: p=0.03), glucose (−4.7±1.1mg/dl vs. −0.6±0.5mg/dl: p=0.01), insulin levels (−2.6±1.0mU/L vs. −0.7±0.3mU/L: p=0.02) and HOMA-IR (−0.5±0.2 units vs. −0.2±0.4 units: p=0.03). The same improvement in both parameters was reported after a polyunsaturated enriched hypocaloric diet (Diet P) and only subjects with CC genotype showed a significant improvement in total cholesterol levels (CC vs. CG+GG) (−8.0±1.2mU/L vs. −2.1±1.4mg/dl: p=0.02), LDL-cholesterol (−7.3±1.2mg/dl vs. −2.1±0.8mg/dL: p=0.02), glucose (−3.2±0.1mg/dl vs. −0.2±0.5mg/dl: p=0.01), insulin levels (−2.5±1.0mU/L vs. −1±0.6mU/L: p=0.02) and HOMA-IR (−0.5±0.1 units vs. −0.3±0.4 units: p=0.02).<elsevierMultimedia ident="tbl0010"></elsevierMultimedia><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows levels of adipokines. No differences were detected among baseline and post-treatment values of serum adipokine levels between both genotypes. Only subjects with CC genotype showed a significant increase of adiponectin levels after both diets: (Diet M: 10.3±2.0ng/dl vs. Diet P: 9.3±2.9ng/dl: p=0.43). After both hypocaloric diets, leptin levels decreased in both genotypes in a similar way (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).<elsevierMultimedia ident="tbl0015"></elsevierMultimedia>DiscussionOur study is one of the few that has shown that ADIPOQ variant rs266729 is significantly associated with weight decrease, cholesterol levels, insulin resistance changes and adiponectin after two different moderate caloric restriction with different fatty dietary profile in obese subjects. Non G-allele carriers showed a better response of glucose, HOMA-IR, insulin, total cholesterol, LDL-cholesterol and adiponectin levels than G-allele carriers after both diets. Thus, a promising finding reported for the first time was that this ADIPOQ gene variant may play an important role in modulating treatment outcomes with dietary interventions.There are some studies showing the association between rs266729 and obesity and its associated pathologies as diabetes mellitus type 2 and metabolic syndrome,<a class="elsevierStyleCrossRefs" href="#bib0230">20–21</a> but there is few data about the influence of weight loss on this association in interventional designs. There are five interventional designs in the literature, two studies have been performed with a non-surgical intervention<a class="elsevierStyleCrossRefs" href="#bib0170">8–9</a> and three after a bariatric surgery.<a class="elsevierStyleCrossRefs" href="#bib0180">10,11,22</a>The first non-surgical study has been realized with an anti-obesity drug (sibutramine). Hsiao et al.<a class="elsevierStyleCrossRef" href="#bib0175">9</a> reported a significantly greater weight loss and far for ADIPOQ rs266729 CC genotype as compared to the placebo group during a 12-week period. This study included non Caucasian patients, 44 in the placebo group and 87 in the sibutramine group with 10mg daily. In fact, the study population was different of our design and the weight reduction was higher (7.9kg) than our data. The other study was an analysis of the Finnish Diabetes Prevention Program,<a class="elsevierStyleCrossRef" href="#bib0170">8</a> a randomized, controlled multicenter study with a dietary intervention of reduction in the intake of total fat<30%, saturated fat to <10% of daily energy and increase of dietary fiber to at least 15g per 1000kcal The authors showed that G allele carriers had higher weight after 4-year follow-up and C allele was associated with an increased risk of developing diabetes mellitus type 2. This curious result, association of higher posttreatment body weight and lower diabetes mellitus, seems therefore that the effect of this ADIPOQ variant on glucose metabolism is independent of its effect on body weight.The first surgical interventional study was realized with a Roux Y gastroenterostomy.<a class="elsevierStyleCrossRef" href="#bib0180">10</a> In the design 60 morbid obese subjects were evaluated after 32 months, individuals with C allele were more prone to show a reduction in LDL-cholesterol levels (−43%) after bariatric surgery vs (−18%) in G allele carriers. The decrease in LDL cholesterol in this study was higher than our findings (5%), possibly related to greater weight loss after bariatric surgery (35%) than in our work with nutritional intervention (5%). In this surgical intervention, weight loss was similar in both genotypes after bariatric surgery, as our dietary study. Moreover, adiponectin levels have not been measured after weight loss in these three previous studies.The first study that evaluates the effect of this polymorphism and weight loss on adiponectin levels was the one developed by Poitou et al.<a class="elsevierStyleCrossRef" href="#bib0240">22</a> These authors reported that rs266729 variant did not have any significant effect on circulating adiponectin concentrations in 65 obese subjects undergoing gastric banding surgery after 12 months. However, lipid profile and glucose metabolism have not been measured in this study. De Luis et al.<a class="elsevierStyleCrossRef" href="#bib0185">11</a> realized the other study that evaluate adiponectin levels. In this interventional study of three years with biliopancreatic diversion, adiponectin concentrations increased after weight loss in CC subjects, which was not observed in carriers of the G allele. Furthermore, a better improvement in lipid profile, insulin levels and HOMA-IR were also observed in CC genotype subjects than G-allele carriers.The potential physiological mechanisms to explain the dependency of the weight loss effect between these genetic variant and metabolic parameters remain unknown. ADIPOQ encodes adiponectin expressed exclusively in both brown and white adipose tissues.<a class="elsevierStyleCrossRef" href="#bib0245">23</a> Recent findings has indicated that G allele alters the sequence for one transcriptional stimulatory protein binding sites and secondarily reduces adiponectin promoter activity.<a class="elsevierStyleCrossRef" href="#bib0145">3</a> In addition, some studies have demonstrated that there was an association between adiponectin and adipose tissue mass and suggested that adiponectin secretion and circulating levels were inversely proportional to body fat.<a class="elsevierStyleCrossRef" href="#bib0250">24</a> Perhaps a molecular pathway relates this genetic variant of the ADIPOQ gene with adipogenesis and adipokine secretion. A second potential hypothesis to explain these associations is a gene-nutrient interaction. Fergusson et al.<a class="elsevierStyleCrossRef" href="#bib0255">25</a> have demonstrate that G allele for this SNPs was identified as having degrees of insulin resistance, and was highly responsive to differences in plasma saturated fatty acids. In other study,<a class="elsevierStyleCrossRef" href="#bib0260">26</a> a gene-nutrient interaction was reported between rs266729 variant of ADIPOQ gene and the percentage of energy derived from dietary fat in the diet. Perhaps, dietary fatty acids could modulate the involvement of the adiponectin gene and its receptors in downstream pathways. In our study with two different dietary fatty acids, we did not find any differences between both dietary profiles and perhaps weight loss is more relevant than the composition of the diet that produces this weight loss.Limitations of our study included; the recruitment of our obese subjects without established diabetes mellitus or cardiovascular disease. Second, we only analyzed one SNP of ADIPOQ gene, so other ADIPOQ variants could be related with metabolic parameters. Third, there are many uncontrolled factors that could influence our results (epigenetic, hormonal status and level of physical activity). Finally, the self-reported dietary intake is not reliable and it might include bias of under- or over-reporting.In conclusion, the CC genotype of ADIPOQ gene variant (rs266729) is associated with increases in adiponectin levels and decreases of LDL-cholesterol, glucose, insulin and HOMA-IR after weight loss. These results are independent of the dietary fatty acids profile of the diet and appreciate more related to the weight loss generated by both caloric restrictionsAuthors’ contributionD.A. de Luis and R. Aller designed the study and realized statistical analysis.O. Izaola anthropometric evaluation and control of dietary intake.D. Primo realized biochemical evaluation and genotype.Ethical approvalAll procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent: Informed consent was obtained from all individual participants included in the study.FundingNo funding.Conflict of interestThe authors declare no conflict of interest." "textoCompletoSecciones" => array:1 [ "secciones" => array:13 [ 0 => array:3 [ "identificador" => "xres1352826" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Design" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1243940" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres1352825" "titulo" => "Resumen" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Antecedentes" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Diseño" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusión" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec1243939" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Subjects and methods" "secciones" => array:6 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Subjects and clinical investigation" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Dietary intervention" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Biochemical and adipokine assays" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Genotyping ADIPOQ gene" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Anthropometric parameters and blood pressure determination" ] 5 => array:2 [ "identificador" => "sec0040" "titulo" => "Statistical analysis" ] ] ] 6 => array:2 [ "identificador" => "sec0045" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0050" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0055" "titulo" => "Authors’ contribution" ] 9 => array:2 [ "identificador" => "sec0060" "titulo" => "Ethical approval" ] 10 => array:2 [ "identificador" => "sec0065" "titulo" => "Funding" ] 11 => array:2 [ "identificador" => "sec0070" "titulo" => "Conflict of interest" ] 12 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2019-07-15" "fechaAceptado" => "2019-09-06" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1243940" "palabras" => array:4 [ 0 => "Adiponectin gene" 1 => "Cardiovascular risk factors" 2 => "Dietary fatty acids" 3 => "rs266729" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec1243939" "palabras" => array:4 [ 0 => "Gen de adiponectina" 1 => "Factores de riesgo cardiovascular" 2 => "Ácidos grasos en la dieta" 3 => "rs266729" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "BackgroundThe role of ADIPOQ gene rs266729 variants on weight loss after a dietary intervention are still unclear. ObjectiveTo analyze the effects of the ADIPOQ gene rs266729 variant n weight loss, cardiovascular risk factors, and adiponectin levels after two hypocaloric diets with different dietary fatty profiles. DesignA population of 362 obese patients was enrolled in a randomized clinical trial with two diets (Diet M, monounsaturated fat-enriched diet, and Diet P, polyunsaturated-fat enriched diet). Anthropometric measurements, an assessment of nutritional intake, and biochemical tests were performed at baseline and after 12 weeks. ResultsWeight loss was similar with both diets. After Diet M, only subjects with CC genotype showed significant improvements in total cholesterol (CC vs. CG±GG) (−9.0±1.1mU/L vs. −4.5±2.4mg/dL, p=0.01), LDL cholesterol (−6.0±1.1mg/dL vs. −3.0±0.9mg/dL, p=0.03), glucose (−4.7±1.1mg/dL vs. −0.6±0.5mg/dL, p=0.01), and insulin levels (−2.6±1.0mU/L vs. −0.7±0.3mU/L, p=0.02) and in HOMA-IR (−0.5±0.2 units vs. −0.2±0.4 units, p=0.03). The same improvement was reported after Diet P in all parameters, including total cholesterol (CC vs. CG±GG) (−8.0±1.2mU/L vs. −2.1±1.4mg/dL, p=0.02), LDL cholesterol (−7.3±1.2mg/dL vs. −2.1±0.8mg/dL, p=0.02), glucose (−3.2±0.1mg/dL vs. −0.2±0.5mg/dL, p=0.01), and insulin levels (−2.5±1.0mU/L vs. −1±0.6mU/L, p=0.02) and HOMA-IR (−0.5±0.1 units vs. −0.3±0.4 units, p=0.02). Only subjects with CC genotype showed significant increases in adiponectin levels after both diets: (Diet M: 10.3±2.0ng/dL vs. Diet P: 9.3±2.9ng/dL, p=0.43). ConclusionThe CC genotype of ADIPOQ gene rs266729 variant is associated to increased adiponectin levels and decreases in LDL cholesterol, glucose, insulin, and HOMA-IR levels after weight loss." "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Design" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "AntecedentesEl papel de las variantes del gen ADIPOQ en la pérdida de peso después de una intervención dietética sigue sin estar claro. ObjetivoNuestro objetivo fue analizar los efectos de la variante rs266729 del gen ADIPOQ sobre la pérdida de peso, los factores de riesgo cardiovascular y los niveles de adiponectina después de 2 dietas hipocalóricas con diferentes perfiles de grasas en la dieta. DiseñoUna población de 362 pacientes obesos se incluyeron en un ensayo clínico aleatorizado con 2 dietas (dieta M: dieta enriquecida con grasas monoinsaturadas y dieta P: dieta enriquecida con grasas poliinsaturadas). Antes y tras 12 semanas, se realizó una evaluación antropométrica, evaluación de la ingesta nutricional y un análisis bioquímico. ResultadosLa pérdida de peso fue similar con ambas dietas. Después de la dieta M, solo los sujetos con genotipo CC mostraron una mejoría significativa en el colesterol total (CC vs. CG±GG) (−9,0±1,1mU/l vs. −4,5±2,4mg/dl; p=0,01), colesterol LDL (−6,0±1,1mg/dl vs. −3,0±0,9mg/dl; p=0,03), glucosa (−4,7±1,1mg/dl vs. −0,6±0,5mg/dl; p=0,01), niveles de insulina (−2,6±1,0mU/l vs. −0,7±0,3mU/l; p=0,02) y HOMA-IR (−0,5±0,2 unidades vs. −0,2±0,4 unidades; p=0,03). La misma mejora en todos los parámetros se informó después de la dieta P; niveles de colesterol total (CC vs. CG±GG) (−8,0±1,2mU/l vs. −2,1±1,4mg/dl; p=0,02), colesterol LDL (−7,3±1,2mg/dl vs. −2,1±0,8mg/dl; p=0,02), glucosa (−3,2±0,1mg/dl vs. −0,2±0,5mg/dl; p=0,01), niveles de insulina (−2,5±1,0mU/l vs. −1±0,6mU/l; p=0,02) y HOMA-IR (−0,5±0,1 unidades vs. −0,3±0,4 unidades; p=0,02). Solo los sujetos con genotipo CC mostraron un aumento significativo de los niveles de adiponectina después de ambas dietas: (dieta M: 10,3±2,0ng/dl vs. dieta P: 9,3±2,9ng/dl; p=0,43). ConclusiónEl genotipo CC de la variante rs266729 del gen ADIPOQ se asocia con aumentos en los niveles de adiponectina y disminución del colesterol LDL, glucosa, insulina y HOMA-IR tras la pérdida de peso." "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Antecedentes" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Diseño" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusión" ] ] ] ] "multimedia" => array:3 [ 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" => "BMI: body mass index DBP, diastolic blood pressure; SBP, systolic blood pressure; WC, waist circumference; Statistical differences in each genotype group (* BMI, x Weight, #fat mass, & WC, **SBP). No statistical differences between genotype groups. In the column “p”, “time” is the p value between basal and at 3 months values, “genotype” is the p value at basal’ time between each genotype and at 3 months’ time between each genotype, “time×genotype” is the p value of the interaction." "tablatextoimagen" => array:2 [ 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="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Characteristics \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="5" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">rs266729</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Diet M (n=177)</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">PTimeGenotypeGenotype×time \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CC</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CG+GG</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BMI \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.9±6.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35.9±5.1* \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.3±5. 0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35.5±4.3* \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.03p=0.27p=0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Weight (kg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">98.4±9.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">93.6±7.0 x \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">96.0±9.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">92.2±8.5 x \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.41p=0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Fat mass (kg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39.8±5.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36.5±7.1# \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">40.3±8.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36.9±9.1# \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.37p=0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">WC (cm) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">115.1±8.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">111.8±4.3& \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">110.4±6.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">106.3±7.1& \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.45p=0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBP (mmHg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">126.8±3.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">123.8±4.2** \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">126.8±4.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">122.1±3.1* * \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.35p=0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">DBP (mmHg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">81.4±6.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">82.3±3.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">79.2±7.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">77.6±7.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.41p=0.59p=0.56 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2322036.png" ] ] 1 => 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="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="5" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">rs266729</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Diet P (n=185)</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">PTimeGenotypeGenotype×time \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CC</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CG+GG</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BMI \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38.0±4.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35.9±4.2* \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">37.9±4.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35.8±4.1* \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.48p=0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Weight (kg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">96.1±12.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">92.0±8.1 x \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">96.6±7.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">92.0±7.0 x \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.59p=0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Fat mass (kg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">39.3±6.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36.2±5.1# \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38.6±7.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35.1±5.9# \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.48p=0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">WC (cm) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">113.9±8.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">110.0±6.1& \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">112.2±8.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">108.1±4.0& \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.51p=0.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SBP (mmHg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">128.3±9.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">124.1±7.0* * \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">127.9±7.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">123.1±7.9** \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.48p=0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">DBP (mmHg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83.1±5.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">80.2±5.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">83.2±5.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">81.1±5.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.51p=0.70p=0.49 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2322035.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Anthropometric variables and blood pressure at basal time and after both dietary intervention (mean±SD)." ] ] 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" => "CRP: C reactive protein. HOMA-IR (homeostasis model assessment).; Statistical differences in each genotype group(* glucose, # Insulin, & HOMA IR, $ Total cholesterol, %LDL cholesterol). No statistical differences between genotype groups. No statistical differences between genotype groups. In the column “p”, “time” is the p value between basal and at 3 months values, “genotype” is the p value at basal’ time between each genotype and at 3 months’ time between each genotype, “time×genotype” is the p value of the interaction." "tablatextoimagen" => array:2 [ 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="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Characteristics \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="5" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">rs266729</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Diet M (n=177)</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">PTimeGenotypeGenotype×time \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CC</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CG+GG</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Glucose (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">103.9±8.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">99.2±7.1 * \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">97.7±8.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">97.1±7.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.02p=0.18p=0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Total cholesterol (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">207.3±12.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">198.4±12.2$ \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">209.5±20.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">204.9±18.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.04p=0.16p=0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LDL-cholesterol (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">128.6±12.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">122.8±9.1 $% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">129.7±13.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">127.7±11.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.03p=0.23p=0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HDL-cholesterol (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">53.4±7.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50.3±5.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">55.1±5.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">52.6±4.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.1p=0.52p=0.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Triglycerides (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">122.1±20.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">117.4±11.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">126.9±31.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">130.5±18.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.62p=0.88p=0.31 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CRP (ng/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.5±3.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.4±2.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.9±3.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.2±2.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.41p=0.51p=0.15 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Insulin (mUI/l) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.7±4.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11.1±3.0# \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.0±6.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.3±7.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.36p=0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HOMA-IR \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.2±2.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.7±1.9& \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.0±2.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.8±2.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.02p=0.31p=0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2322034.png" ] ] 1 => 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="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Characteristics \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="5" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">rs266729</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Diet P (n=185)</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">PTimeGenotypeGenotype×time \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CC</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CG+GG</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Glucose (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">101.2±10.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">98.0±8.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">101.1±10.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">99.9±8.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.10p=0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Total cholesterol (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">207.2±8.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">199.2±9.0$ \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">195.9±11.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">194.8±12.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.16p=0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">LDL-cholesterol (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">130.5±21.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">123.2±9.1% \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">120.8±22.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">118.4±10.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.02p=0.16p=0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HDL-cholesterol (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">51.7±6.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">50.5±5.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">48.8±9.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">48.9±7.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.19p=0.41p=0.28 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Triglycerides (mg/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">131.1±13.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">124.8±9.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">139.1±11.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">137.2±8.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.60p=0.81p=0.23 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CRP (ng/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.2±3.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.3±2.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.5±3.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.9±3.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.58p=0.79p=0.31 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Insulin (mUI/l) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.4±5.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11.9±3.2# \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">12.9±6.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11.9±8.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.32p=0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">HOMA-IR \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.4±1.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">2.9±1.0& \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.3±2.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">3.1±2.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.02p=0.36p=0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2322032.png" ] ] ] ] "descripcion" => array:1 [ "en" => "Biochemical parameters at basal time and after both dietary intervention (mean±SD)." ] ] 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 [ "tablatextoimagen" => array:2 [ 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="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Characteristics \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="5" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">rs266729</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Diet M (n=177)</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">PTimeGenotypeGenotype×time \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CC</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CG+GG</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Resistin (ng/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.1±1.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.8±2.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.1±2.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.9±2.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.54p=0.75p=0.26 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Adiponectin (ng/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.8±4.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20.1±5.9<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10.7±3.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">9.9±6.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.12p=0.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Leptin (ng/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">80.2±21.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">65.1±9.5<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">85.5±13.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">69.1±13.1<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.22p=0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2322033.png" ] ] 1 => 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="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">Characteristics \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="5" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">rs266729</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="4" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Diet P (n=185)</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col">PTimeGenotypeGenotype×time \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="center" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CC</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " colspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">CG+GG</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Resistin (ng/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.1±1.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">7.6±11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">6.2±1.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">5.1±0.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.61p=0.72p=0.24 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Adiponectin (ng/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">10.9±6.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">20.2±5.2<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">11.0±8.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">13.7±9.0 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.03p=0.41p=0.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Leptin (ng/dl) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">81.3±10.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">62.8±8.3<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">80.7±7.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">63.2±8.1<a class="elsevierStyleCrossRef" href="#tblfn0005">*</a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">p=0.01p=0.21p=0.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2322031.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "*" "nota" => "p<0.05, in each genotype group. No statistical differences between genotype groups. In the column “p”, “time” is the p value between basal and at 3 months values, “genotype” is the p value at basal’ time between each genotype and at 3 months’ time between each genotype, “time×genotype” is the p value of the interaction." ] ] ] "descripcion" => array:1 [ "en" => "Adipokines and cytokine levels (mean±SD)." ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:26 [ 0 => array:3 [ "identificador" => "bib0135" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Human genetics of adiponectin in the metabolic syndrome" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "W.S. Yang" 1 => "L.M. 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Effect of two different dietary fatty acid profiles and variant rs266729 in ADIPOQ on weight loss and adiponectin concentrations

Efecto de dos perfiles diferentes de ácidos grasos en la dieta y variante en el gen rs266729 de adiponectina sobre la pérdida de peso y los niveles de adiponectina

D.A. de Luis

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dadluis@yahoo.es

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, D. Primo, O. Izaola, R. Aller

Center of Investigation of Endocrinology and Nutrition, Medicine School and Department of Endocrinology and Investigation, Hospital Clinico Universitario, University of Valladolid, Valladolid, Spain

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        "titulo" => "Efecto de dos perfiles diferentes de &#225;cidos grasos en la dieta y variante en el gen rs266729 de adiponectina sobre la p&#233;rdida de peso y los niveles de adiponectina"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Adiponectin is the most quantitatively abundant adipokine secreted by adipocytes&#44; which is known to regulate insulin sensitivity and glucose metabolism<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">1</span></a> and concentrations of adiponectin are reduced in obese subjects&#46; Adiponectin is encoded by the adiponectin C1Q and collagen domain containing &#40;<span class="elsevierStyleItalic">ADIPOQ</span>&#41; gene&#44; which located on chromosome 3q27&#46; In humans&#44; associations have been found between many polymorphisms in ADIPOQ and adiponectin concentrations&#44; insulin resistance and obesity&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">2</span></a> The most common single nucleotide polymorphism &#40;SNP&#41; of this gene is rs266729 &#40;&#8722;11&#44;377C&#62;G&#41;&#44; it is located in the proximal promoter region of the <span class="elsevierStyleItalic">ADIPOQ</span> gene&#46; Data in the literature indicates that <span class="elsevierStyleItalic">ADIPOQ</span> rs266729 polymorphism functionally regulates adiponectin promoter activity and adiponectin levels&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">3</span></a> Moreover&#44; <span class="elsevierStyleItalic">ADIPOQ</span> rs266729 has been found to be correlated with circulating adiponectin levels in obesity&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">4</span></a> This <span class="elsevierStyleItalic">ADIPOQ</span> variant has been identified to be associated with high body mass index&#44; insulin resistance and diabetic nephropathy&#46;<a class="elsevierStyleCrossRefs" href="#bib0155"><span class="elsevierStyleSup">5&#8211;7</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The effect of weight loss or dietary interventions on metabolic response taking to account this SNP is scarce in the literature&#46; For example&#44; the Finnish Diabetes Prevention Study &#40;Caucasian population&#41; showed that the genetic variant of ADIPOQ gene rs266729 contributes to variation in body weight and serum adiponectin concentrations&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">8</span></a> Hsiao et al&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">9</span></a> show that this genetic variant may contribute to weight reduction in response to an antiobesity drug such as sibutramine&#46; A recent study<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">10</span></a> has demonstrated that C allele of this genetic variant is a predictor of better lipid profile after weight loss secondary to a bariatric surgery&#46; This SNP influence in the modification of adiponectin levels&#44; insulin and HOMA&#46;IR after a huge loss of weight secondary to a biliopancreatic diversion&#44;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">11</span></a> too&#46; In addition&#44; the effect of modifying the fatty acid profiles of the diet has not been compared&#44; and it may be a relevant fact when this polymorphism modifies the metabolic response secondary to weight loss</p><p id="par0015" class="elsevierStylePara elsevierViewall">Our aim was to analyze the effects of rs266729 of <span class="elsevierStyleItalic">ADIPOQ gene</span> on weight loss&#44; cardiovascular risk factors and serum adipokine levels after two hypocaloric diets with different dietary fatty profile&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Subjects and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Subjects and clinical investigation</span><p id="par0020" class="elsevierStylePara elsevierViewall">We conducted a prospective study approved by the Ethics Committee &#40;HCUVA Committee 05&#47;2017&#41; and it was in accordance with the guidelines laid down in the Declaration of Helsinki&#46; The intent-to-treat population consisted of 362 unrelated obese patients in a randomized clinical trial with two different diets&#46; Subjects were recruited from Primary Care Physicians of an urban area of Spain&#46; Data of these subjects were collected at the beginning and after 12 weeks of dietary treatment and all participants provided written informed consent&#46; All the recruited patients fulfilled the next inclusion criteria&#59; age between 25 and 65 years old and a body mass index &#40;BMI&#41;<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>30<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#46; Subjects with a history of thyroid disease&#44; cardiovascular disease&#44; renal or hepatic disorders&#44; history of alcoholism&#44; malignant tumor&#44; and within the 6 months before the study were receiving medications known to influence lipid &#40;hormonal therapy&#44; glucocorticoids and anti-inflammatory drugs&#41; or glucose levels &#40;sulfonylureas&#44; thiazolidinedione&#44; insulin&#44; GLP-1 receptor antagonists&#44; DPP-IV inhibitors&#44; metformin&#41; were excluded&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">The first endpoint was body weight loss after 12 weeks versus baseline&#46; The second endpoints were cardiovascular risk factors and serum adiponectine changes&#46; All anthropometric parameters &#40;weight&#44; height&#44; body mass index &#40;BMI&#41;&#44; waist circumference&#44; fat mass by impedance&#41; and blood pressure were recorded at basal time and after 12 weeks&#46; Blood samples were collected in EDTA-treated and plain tubes after a 12<span class="elsevierStyleHsp" style=""></span>h overnight fast for analysis of insulin&#44; total cholesterol&#44; LDL-cholesterol&#44; HDL-cholesterol&#44; triglycerides and leptin&#44; total adiponectin and resistin levels&#46; The variant of <span class="elsevierStyleItalic">ADIPOQ</span> gene was assessed at basal time by polymerase chain reaction at real-time&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Dietary intervention</span><p id="par0030" class="elsevierStylePara elsevierViewall">The subjects in this interventional study received individualized counseling on diet and exercise&#46; As above-mentioned&#44; patients were randomly allocated to one of two diets for a period of 12 weeks &#40;Diet M&#44; enriched in monounsaturated fatty acids&#41; and Diet P &#40;enriched in polyunsaturated fatty acids&#41; restricting 500 daily calories to the usual intake&#46; The target percentage of energy derived from carbohydrate&#44; fat and protein in the two diets were&#59; Diet M P &#40;46&#46;6&#37; of carbohydrates&#44; 34&#46;1&#37; of lipids and 19&#46;2&#37; of proteins&#41; and Diet P &#40;45&#46;7&#37; of carbohydrates&#44; 34&#46;4&#37; of lipids and 19&#46;9&#37; of proteins&#41;&#46; The distribution of fats in Diet M was&#59; 21&#46;7&#37; of saturated fats&#44; 67&#46;5&#37; of monounsaturated fats and 10&#46;8&#37; of polyunsaturated fats&#46; The distribution of fats in Diet P was&#59; 21&#46;8&#37; of saturated fats&#44; 55&#46;5&#37; of monounsaturated fats and 22&#46;7&#37; of polyunsaturated fats &#40;7<span class="elsevierStyleHsp" style=""></span>g per day of w-6 fatty acids&#44; 2<span class="elsevierStyleHsp" style=""></span>g per day of w-3 fatty acids and a ratio w6&#47;w3 of 3&#46;5&#41;&#46; The recommended physical activity consisted of an aerobic exercise at least two times per week &#40;60<span class="elsevierStyleHsp" style=""></span>min each&#41;&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">All enrolled subjects received instruction to record their daily dietary intake for seven non-consecutive days including a weekend day&#46; A dietitian assessed this adherence each fourteen days with a phone call in order to improve accomplishment&#46; Dietary records were analyzed using a computer-based data evaluation system&#44; including national composition food tables as reference<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">12</span></a> &#40;Dietosource&#174;&#44; Ge&#44;Swi&#41;&#46; The patient with a self-reported questionnaire recorded the exercise activity&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Biochemical and adipokine assays</span><p id="par0040" class="elsevierStylePara elsevierViewall">Plasma glucose levels were measured using an automated glucose oxidase method &#40;Glucose analyser 2&#44; Beckman Instruments&#44; Fullerton&#44; California&#41;&#46; Insulin was measured by radioimmunoanalysis &#40;RIA&#41; &#40;RIA Diagnostic Corporation&#44; Los Angeles&#44; CA&#41; with a sensitivity of 0&#46;5mUI&#47;L &#40;normal range 0&#46;5&#8211;30<span class="elsevierStyleHsp" style=""></span>mUI&#47;L&#41;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">13</span></a> and the homeostasis model assessment for insulin resistance &#40;HOMA-IR&#41; was calculated using these values<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">14</span></a> with the next formula&#58; HOMA-IR<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>&#40;glucose<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>insulin&#47;22&#46;5&#41;&#46; Serum total cholesterol and triglyceride concentrations were determined by enzymatic colorimetric assay &#40;Technicon Instruments&#44; Ltd&#46;&#44; New York&#44; N&#46;Y&#46;&#44; USA&#41;&#44; while HDL cholesterol was determined enzymatically in the supernatant after precipitation of other lipoproteins with dextran sulphate-magnesium&#46; LDL cholesterol was calculated using Friedewald formula&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">15</span></a></p><p id="par0045" class="elsevierStylePara elsevierViewall">All adipokine levels were measured by enzyme-linked immunosorbent assay &#40;ELISA&#41;&#46; Resistin was measured by ELISA &#40;Biovendor Laboratory&#44; Inc&#46;&#44; Brno&#44; Czech Republic&#41; with a sensitivity of 0&#46;2<span class="elsevierStyleHsp" style=""></span>ng&#47;ml with a normal range of 4&#8211;12<span class="elsevierStyleHsp" style=""></span>ng&#47;ml&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">16</span></a> Leptin was measured by ELISA &#40;Diagnostic Systems Laboratories&#44; Inc&#46;&#44; Texas&#44; USA&#41; with a sensitivity of 0&#46;05<span class="elsevierStyleHsp" style=""></span>ng&#47;ml and a normal range of 10&#8211;100<span class="elsevierStyleHsp" style=""></span>ng&#47;ml&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">17</span></a> Adiponectin was measured by ELISA &#40;R&#38;D systems&#44; Inc&#46;&#44; Mineapolis&#44; USA&#41; with a sensitivity of 0&#46;246<span class="elsevierStyleHsp" style=""></span>ng&#47;ml and a normal range of 8&#46;65&#8211;21&#46;43<span class="elsevierStyleHsp" style=""></span>ng&#47;ml&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">18</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Genotyping <span class="elsevierStyleItalic">ADIPOQ</span> gene</span><p id="par0050" class="elsevierStylePara elsevierViewall">DNA was isolated from blood samples using QIAamp&#174; DNA blood kit following the manufacture&#39;s instructions&#46; To extract DNA we use 200<span class="elsevierStyleHsp" style=""></span>uL of blood&#46; Oligonucleotide primers and probes were designed with the Beacon Designer 5&#46;0 &#40;Premier Biosoft International&#174;&#44; LA&#44; CA&#41;&#46; The polymerase chain reaction &#40;PCR&#41; was carried out with 50<span class="elsevierStyleHsp" style=""></span>ng of genomic DNA&#44; 0&#46;5<span class="elsevierStyleHsp" style=""></span>&#956;L of each oligonucleotide primer &#40;primer forward&#58; 5&#8242;-ACGTTGGATGATGTGTGGCTTGCAAGAACC-3&#8242; and reverse 5&#8242;-ACGTTGGATGCAACATTCAACACCTTGGAC-3&#8242; in a 2<span class="elsevierStyleHsp" style=""></span>&#956;L final volume &#40;Termociclador Life Tecnologies&#44; LA&#44; CA&#41;&#46; DNA was denaturated at 90<span class="elsevierStyleHsp" style=""></span>&#176;C for 2<span class="elsevierStyleHsp" style=""></span>min&#59; this was followed by 50 cycles of denaturation at 90<span class="elsevierStyleHsp" style=""></span>&#176;C for 20<span class="elsevierStyleHsp" style=""></span>s&#44; and annealing at 56&#46;1<span class="elsevierStyleHsp" style=""></span>&#176;C for 50<span class="elsevierStyleHsp" style=""></span>s&#41;&#46; The PCR were run in a 25<span class="elsevierStyleHsp" style=""></span>&#956;L final volume containing 10&#46;5<span class="elsevierStyleHsp" style=""></span>&#956;L of IQTM Supermix &#40;Bio-Rad&#174;&#44; Hercules&#44; CA&#41; with hot start Taq DNA polymerase Hardy Weimberg equilibrium was assessed with a statistical test &#40;Chi-square&#41; to compare our expected and observed counts&#46; The variant was in Hardy Weimberg equilibrium &#40;<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;28&#41;&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Anthropometric parameters and blood pressure determination</span><p id="par0055" class="elsevierStylePara elsevierViewall">Weight and height were measured with an electrical scale &#40;Omrom&#44; LA&#44; CA&#41; and a telescopic height-measuring instrument &#40;Omrom&#44; LA&#44; CA&#41;&#46; Body weight was measured in the morning while the subjects were minimally unclothed and not wearing shoes&#46; Body mass index &#40;BMI&#41; was calculated as body weight &#40;in kg&#41; divided by height &#40;in m<span class="elsevierStyleSup">2</span>&#41;&#46; Waist circumference &#40;WC&#41; was measured with a flexible non-stretchable measuring tape &#40;Type SECA&#44; SECA&#46; Birmingham&#44; UK&#41;&#46; Bio impedance was used to determine body composition with an accuracy of 5<span class="elsevierStyleHsp" style=""></span>g<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">19</span></a> &#40;EFG&#44; Akern&#44; It&#41;&#46; Blood pressure was measured twice after a 10<span class="elsevierStyleHsp" style=""></span>min rest with a random zero mercury sphygmomanometer &#40;Omrom&#44; Los Angeles&#44; Calif&#46;&#44; USA&#41;&#44; and averaged&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Statistical analysis</span><p id="par0060" class="elsevierStylePara elsevierViewall">Sample size was calculated to detect differences over 2<span class="elsevierStyleHsp" style=""></span>kg in body weight loss with 90&#37; power and 5&#37; significance &#40;<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>170 in each dietary group&#41;&#46; Numerical variables with normal distribution were analyzed with a two-tailed Student&#39;s <span class="elsevierStyleItalic">t</span>-test&#46; Non-parametric variables were analyzed with the Mann&#8211;Whitney&#39;s <span class="elsevierStyleItalic">U</span>-test&#46; Categorical variables were analyzed with the chi-square test&#44; with Yates correction as necessary&#44; and Fisher&#39;s test&#46; The statistical analysis to evaluate the gene &#8211; diet interaction was a univariate ANCOVA using gender&#44; and baseline weight&#46; Correction for multiple hypothesis testing for single SNP analyses was performed&#46; A Chi square test was used to evaluate the Hardy&#8211;Weinberg equilibrium&#46; All analyses were performed under a dominant genetic model with rs266729 G-allele as the risk allele &#40;GG<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>GC vs&#46; CC&#41;&#46; A <span class="elsevierStyleItalic">p</span>-value<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>0&#46;05 was considered significant&#46; All the data were analyzed using SPSS for Windows&#44; version 19&#46;0 software package &#40;SPSS Inc&#46;&#44; Chicago&#44; IL&#41;&#46;</p></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Results</span><p id="par0065" class="elsevierStylePara elsevierViewall">Three hundred and sixty two obese subjects were enrolled in the study &#40;197 CC &#40;53&#46;6&#37;&#41;&#44; 142 CG &#40;33&#46;1&#37;&#41; and 23 GG &#40;6&#46;3&#37;&#41;&#41;&#46; All patients completed the 12-weeks follow-up period without dropouts&#46; The mean age of the all group was 49&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>7&#46;2 years &#40;range&#58; 28&#8211;62&#41; and the mean BMI 37&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>4&#46;3<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span> &#40;range&#58; 31&#46;8&#8211;40&#46;3&#41;&#46; Sex distribution was 260 women &#40;71&#46;8&#37;&#41; and 102 men &#40;28&#46;2&#37;&#41;&#46; Age was similar in both genotype groups &#40;wild type &#40;CC&#41; vs&#46; mutant type &#40;CG<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>GG&#41;&#41; &#40;48&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>7&#46;1 years vs 49&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>6&#46;0 years&#58; ns&#41;&#46; Sex distribution was similar in both genotype groups&#44; males &#40;27&#46;1&#37; vs 29&#46;2&#37;&#41; and females &#40;72&#46;9&#37; vs 70&#46;8&#37;&#41;&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">In the 177 subjects &#40;97 CC as wild genotype and 68 CG&#47;12 GG as mutant genotype &#40;CG<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>GG&#41;&#41; treated with diet M&#44; basal dietary intake with a 3 days written food record showed a calorie intake of 2008&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>302&#46;1<span class="elsevierStyleHsp" style=""></span>kcal&#47;day with the next distribution of macronutrients&#58; carbohydrate intake of 210&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>21&#46;1<span class="elsevierStyleHsp" style=""></span>g&#47;day &#40;44&#46;0&#37; of calories&#41;&#44; fat intake of 81&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>12&#46;3<span class="elsevierStyleHsp" style=""></span>g&#47;day &#40;34&#46;6&#37; of calories&#41; and protein intake of 87&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>17&#46;1<span class="elsevierStyleHsp" style=""></span>g&#47;day &#40;22&#46;4&#37; of calories&#41;&#46; During the dietary intervention&#44; these patients reached the right recommendations of the diet M&#59; 1436&#46;6 calories per day &#40;45&#46;0&#37; of carbohydrates&#44; 34&#46;1&#37; of lipids and 20&#46;9&#37; of proteins&#41;&#46; The distribution of dietary fats was&#59; 20&#46;1&#37; of saturated fats&#44; 68&#46;1&#37; of monounsaturated fats and 11&#46;8&#37; of polyunsaturated fats&#46; Physical activity was similar in both genotype groups &#40;54&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>14&#46;3<span class="elsevierStyleHsp" style=""></span>min&#47;week vs 52&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>13&#46;2<span class="elsevierStyleHsp" style=""></span>min&#47;week&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;52&#41;&#46;</p><p id="par0075" class="elsevierStylePara elsevierViewall">In the 175 obese patients &#40;100 CC as wild genotype and 74 CG&#47;11 GG as mutant genotype &#40;CG<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>GG&#41;&#41; treated with diet P&#44; basal evaluation of dietary intakes with a 3 days written food record showed a calorie intake of 2009&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>342&#46;4<span class="elsevierStyleHsp" style=""></span>kcal&#47;day with the next macronutrient distribution&#58; carbohydrate intake of 210&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>50&#46;0<span class="elsevierStyleHsp" style=""></span>g&#47;day &#40;44&#46;2&#37; of calories&#41;&#44; fat intake of 80&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>21&#46;3<span class="elsevierStyleHsp" style=""></span>g&#47;day &#40;35&#46;6&#37; of calories&#41; and protein intake of 86&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>27&#46;1<span class="elsevierStyleHsp" style=""></span>g&#47;day &#40;20&#46;2&#37; of calories&#41;&#46; During the 3 months of dietary intervention&#44; these obese subjects reached the recommendations of diet P&#59; 1468&#46;1 calories per day &#40;45&#46;1&#37; of carbohydrates&#44; 34&#46;3&#37; of lipids and 20&#46;6&#37; of proteins&#41;&#46; The distribution of fats was&#59; 20&#46;3&#37; of saturated fats&#44; a 53&#46;9&#37; of monounsaturated fats and a 23&#46;8&#37; of polyunsaturated fats &#40;6&#46;9<span class="elsevierStyleHsp" style=""></span>g per day of w-6 fatty acids&#44; 1&#46;8<span class="elsevierStyleHsp" style=""></span>g per day of w-3 fatty acids and a ratio w6&#47;w3 of 3&#46;7&#41;&#46; Physical activity was similar in both genotype groups &#40;54&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>12&#46;3<span class="elsevierStyleHsp" style=""></span>min&#47;week vs 55&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1302<span class="elsevierStyleHsp" style=""></span>min&#47;week&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;46&#41;&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">As indicated in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#44; there were no significant genotype related differences &#40;baseline and after dietary intervention&#41; in anthropometric parameters and blood pressure&#46; After both dietary caloric restriction strategies with two different profile of dietary fatty acids&#44; body weight&#44; body mass index &#40;BMI&#41;&#44; fat mass&#44; waist circumference and systolic blood pressure decreased&#46; Obese patients with both genotypes &#40;CC vs&#46; CG<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>GG&#41; after Diet M showed similar improvement in body weight &#40;&#8722;4&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;3<span class="elsevierStyleHsp" style=""></span>kg vs&#46; &#8722;4&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;3<span class="elsevierStyleHsp" style=""></span>kg&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;31&#41;&#44; BMI &#40;&#8722;2&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;2<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span> vs&#46; &#8722;1&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;5<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;16&#41;&#44; fat mass &#40;&#8722;3&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;2<span class="elsevierStyleHsp" style=""></span>kg vs&#46; &#8722;3&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;2<span class="elsevierStyleHsp" style=""></span>kg&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;41&#41;&#44; waist circumference &#40;&#8722;3&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;1<span class="elsevierStyleHsp" style=""></span>cm vs&#46; &#8722;3&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;9<span class="elsevierStyleHsp" style=""></span>cm&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;22&#41; and systolic blood pressure &#40;&#8722;6&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;0<span class="elsevierStyleHsp" style=""></span>mmHg vs&#46; &#8722;4&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;3<span class="elsevierStyleHsp" style=""></span>mmHg&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;41&#41;&#46; After caloric restriction with Diet P&#44; both genotype groups &#40;CC vs&#46; CG<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>GG&#41; showed also similar decrease in body weight &#40;&#8722;4&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;2<span class="elsevierStyleHsp" style=""></span>kg vs&#46; &#8722;4&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;3<span class="elsevierStyleHsp" style=""></span>kg&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;23&#41;&#44; BMI &#40;&#8722;2&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;1<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span> vs&#46; &#8722;2&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;3<span class="elsevierStyleHsp" style=""></span>kg&#47;m<span class="elsevierStyleSup">2</span>&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;38&#41;&#44; fat mass &#40;&#8722;3&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;2<span class="elsevierStyleHsp" style=""></span>kg vs&#46; &#8722;3&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;4<span class="elsevierStyleHsp" style=""></span>kg&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;61&#41;&#44; waist circumference &#40;&#8722;3&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;3<span class="elsevierStyleHsp" style=""></span>cm vs&#46; &#8722;4&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;2<span class="elsevierStyleHsp" style=""></span>cm&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;41&#41; and systolic blood pressure &#40;&#8722;4&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;1<span class="elsevierStyleHsp" style=""></span>mmHg vs&#46; &#8722;5&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;2<span class="elsevierStyleHsp" style=""></span>mmHg&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;31&#41;&#44; too&#46; The improvements in all below-mentioned parameters were similar with both diets&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows biochemical parameters&#46; No statistical differences were detected among baseline and post-treatment values of these variables between both genotypes &#40;CC vs&#46; CG<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>GG&#46; After dietary intervention with a monounsaturated enriched hypocaloric diet &#40;Diet M&#41;&#44; only subjects with CC genotype showed a significant improvement in total cholesterol levels &#40;CC vs&#46; CG<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>GG&#41; &#40;&#8722;9&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;1<span class="elsevierStyleHsp" style=""></span>mU&#47;L vs&#46; &#8722;4&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;4<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01&#41;&#44; LDL-cholesterol &#40;&#8722;6&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;1<span class="elsevierStyleHsp" style=""></span>mg&#47;dl vs&#46; &#8722;3&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;9<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;03&#41;&#44; glucose &#40;&#8722;4&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;1<span class="elsevierStyleHsp" style=""></span>mg&#47;dl vs&#46; &#8722;0&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;5<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01&#41;&#44; insulin levels &#40;&#8722;2&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;0<span class="elsevierStyleHsp" style=""></span>mU&#47;L vs&#46; &#8722;0&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;3<span class="elsevierStyleHsp" style=""></span>mU&#47;L&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41; and HOMA-IR &#40;&#8722;0&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;2 units vs&#46; &#8722;0&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;4 units&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;03&#41;&#46; The same improvement in both parameters was reported after a polyunsaturated enriched hypocaloric diet &#40;Diet P&#41; and only subjects with CC genotype showed a significant improvement in total cholesterol levels &#40;CC vs&#46; CG<span class="elsevierStyleHsp" style=""></span>&#43;<span class="elsevierStyleHsp" style=""></span>GG&#41; &#40;&#8722;8&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;2<span class="elsevierStyleHsp" style=""></span>mU&#47;L vs&#46; &#8722;2&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;4<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41;&#44; LDL-cholesterol &#40;&#8722;7&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;2<span class="elsevierStyleHsp" style=""></span>mg&#47;dl vs&#46; &#8722;2&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;8<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41;&#44; glucose &#40;&#8722;3&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;1<span class="elsevierStyleHsp" style=""></span>mg&#47;dl vs&#46; &#8722;0&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;5<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01&#41;&#44; insulin levels &#40;&#8722;2&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;0<span class="elsevierStyleHsp" style=""></span>mU&#47;L vs&#46; &#8722;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;6<span class="elsevierStyleHsp" style=""></span>mU&#47;L&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41; and HOMA-IR &#40;&#8722;0&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;1 units vs&#46; &#8722;0&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;4 units&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> shows levels of adipokines&#46; No differences were detected among baseline and post-treatment values of serum adipokine levels between both genotypes&#46; Only subjects with CC genotype showed a significant increase of adiponectin levels after both diets&#58; &#40;Diet M&#58; 10&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;0<span class="elsevierStyleHsp" style=""></span>ng&#47;dl vs&#46; Diet P&#58; 9&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;9<span class="elsevierStyleHsp" style=""></span>ng&#47;dl&#58; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;43&#41;&#46; After both hypocaloric diets&#44; leptin levels decreased in both genotypes in a similar way &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Discussion</span><p id="par0095" class="elsevierStylePara elsevierViewall">Our study is one of the few that has shown that <span class="elsevierStyleItalic">ADIPOQ</span> variant rs266729 is significantly associated with weight decrease&#44; cholesterol levels&#44; insulin resistance changes and adiponectin after two different moderate caloric restriction with different fatty dietary profile in obese subjects&#46; Non G-allele carriers showed a better response of glucose&#44; HOMA-IR&#44; insulin&#44; total cholesterol&#44; LDL-cholesterol and adiponectin levels than G-allele carriers after both diets&#46; Thus&#44; a promising finding reported for the first time was that this ADIPOQ gene variant may play an important role in modulating treatment outcomes with dietary interventions&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">There are some studies showing the association between rs266729 and obesity and its associated pathologies as diabetes mellitus type 2 and metabolic syndrome&#44;<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">20&#8211;21</span></a> but there is few data about the influence of weight loss on this association in interventional designs&#46; There are five interventional designs in the literature&#44; two studies have been performed with a non-surgical intervention<a class="elsevierStyleCrossRefs" href="#bib0170"><span class="elsevierStyleSup">8&#8211;9</span></a> and three after a bariatric surgery&#46;<a class="elsevierStyleCrossRefs" href="#bib0180"><span class="elsevierStyleSup">10&#44;11&#44;22</span></a></p><p id="par0105" class="elsevierStylePara elsevierViewall">The first non-surgical study has been realized with an anti-obesity drug &#40;sibutramine&#41;&#46; Hsiao et al&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">9</span></a> reported a significantly greater weight loss and far for ADIPOQ rs266729 CC genotype as compared to the placebo group during a 12-week period&#46; This study included non Caucasian patients&#44; 44 in the placebo group and 87 in the sibutramine group with 10<span class="elsevierStyleHsp" style=""></span>mg daily&#46; In fact&#44; the study population was different of our design and the weight reduction was higher &#40;7&#46;9<span class="elsevierStyleHsp" style=""></span>kg&#41; than our data&#46; The other study was an analysis of the Finnish Diabetes Prevention Program&#44;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">8</span></a> a randomized&#44; controlled multicenter study with a dietary intervention of reduction in the intake of total fat<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>30&#37;&#44; saturated fat to &#60;10&#37; of daily energy and increase of dietary fiber to at least 15<span class="elsevierStyleHsp" style=""></span>g per 1000<span class="elsevierStyleHsp" style=""></span>kcal The authors showed that G allele carriers had higher weight after 4-year follow-up and C allele was associated with an increased risk of developing diabetes mellitus type 2&#46; This curious result&#44; association of higher posttreatment body weight and lower diabetes mellitus&#44; seems therefore that the effect of this <span class="elsevierStyleItalic">ADIPOQ</span> variant on glucose metabolism is independent of its effect on body weight&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">The first surgical interventional study was realized with a Roux Y gastroenterostomy&#46;<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">10</span></a> In the design 60 morbid obese subjects were evaluated after 32 months&#44; individuals with C allele were more prone to show a reduction in LDL-cholesterol levels &#40;&#8722;43&#37;&#41; after bariatric surgery vs &#40;&#8722;18&#37;&#41; in G allele carriers&#46; The decrease in LDL cholesterol in this study was higher than our findings &#40;5&#37;&#41;&#44; possibly related to greater weight loss after bariatric surgery &#40;35&#37;&#41; than in our work with nutritional intervention &#40;5&#37;&#41;&#46; In this surgical intervention&#44; weight loss was similar in both genotypes after bariatric surgery&#44; as our dietary study&#46; Moreover&#44; adiponectin levels have not been measured after weight loss in these three previous studies&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">The first study that evaluates the effect of this polymorphism and weight loss on adiponectin levels was the one developed by Poitou et al&#46;<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">22</span></a> These authors reported that rs266729 variant did not have any significant effect on circulating adiponectin concentrations in 65 obese subjects undergoing gastric banding surgery after 12 months&#46; However&#44; lipid profile and glucose metabolism have not been measured in this study&#46; De Luis et al&#46;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">11</span></a> realized the other study that evaluate adiponectin levels&#46; In this interventional study of three years with biliopancreatic diversion&#44; adiponectin concentrations increased after weight loss in CC subjects&#44; which was not observed in carriers of the G allele&#46; Furthermore&#44; a better improvement in lipid profile&#44; insulin levels and HOMA-IR were also observed in CC genotype subjects than G-allele carriers&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">The potential physiological mechanisms to explain the dependency of the weight loss effect between these genetic variant and metabolic parameters remain unknown&#46; <span class="elsevierStyleItalic">ADIPOQ</span> encodes adiponectin expressed exclusively in both brown and white adipose tissues&#46;<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">23</span></a> Recent findings has indicated that G allele alters the sequence for one transcriptional stimulatory protein binding sites and secondarily reduces adiponectin promoter activity&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">3</span></a> In addition&#44; some studies have demonstrated that there was an association between adiponectin and adipose tissue mass and suggested that adiponectin secretion and circulating levels were inversely proportional to body fat&#46;<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">24</span></a> Perhaps a molecular pathway relates this genetic variant of the <span class="elsevierStyleItalic">ADIPOQ</span> gene with adipogenesis and adipokine secretion&#46; A second potential hypothesis to explain these associations is a gene-nutrient interaction&#46; Fergusson et al&#46;<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">25</span></a> have demonstrate that G allele for this SNPs was identified as having degrees of insulin resistance&#44; and was highly responsive to differences in plasma saturated fatty acids&#46; In other study&#44;<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">26</span></a> a gene-nutrient interaction was reported between rs266729 variant of <span class="elsevierStyleItalic">ADIPOQ</span> gene and the percentage of energy derived from dietary fat in the diet&#46; Perhaps&#44; dietary fatty acids could modulate the involvement of the adiponectin gene and its receptors in downstream pathways&#46; In our study with two different dietary fatty acids&#44; we did not find any differences between both dietary profiles and perhaps weight loss is more relevant than the composition of the diet that produces this weight loss&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">Limitations of our study included&#59; the recruitment of our obese subjects without established diabetes mellitus or cardiovascular disease&#46; Second&#44; we only analyzed one SNP of <span class="elsevierStyleItalic">ADIPOQ</span> gene&#44; so other ADIPOQ variants could be related with metabolic parameters&#46; Third&#44; there are many uncontrolled factors that could influence our results &#40;epigenetic&#44; hormonal status and level of physical activity&#41;&#46; Finally&#44; the self-reported dietary intake is not reliable and it might include bias of under- or over-reporting&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">In conclusion&#44; the CC genotype of <span class="elsevierStyleItalic">ADIPOQ</span> gene variant &#40;rs266729&#41; is associated with increases in adiponectin levels and decreases of LDL-cholesterol&#44; glucose&#44; insulin and HOMA-IR after weight loss&#46; These results are independent of the dietary fatty acids profile of the diet and appreciate more related to the weight loss generated by both caloric restrictions</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Authors&#8217; contribution</span><p id="par0140" class="elsevierStylePara elsevierViewall">D&#46;A&#46; de Luis and R&#46; Aller designed the study and realized statistical analysis&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">O&#46; Izaola anthropometric evaluation and control of dietary intake&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">D&#46; Primo realized biochemical evaluation and genotype&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Ethical approval</span><p id="par0155" class="elsevierStylePara elsevierViewall">All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and&#47;or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards&#46; Informed consent&#58; Informed consent was obtained from all individual participants included in the study&#46;</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Funding</span><p id="par0160" class="elsevierStylePara elsevierViewall">No funding&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Conflict of interest</span><p id="par0165" class="elsevierStylePara elsevierViewall">The authors declare no conflict of interest&#46;</p></span></span>"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The role of <span class="elsevierStyleItalic">ADIPOQ</span> gene rs266729 variants on weight loss after a dietary intervention are still unclear&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objective</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">To analyze the effects of the <span class="elsevierStyleItalic">ADIPOQ gene</span> rs266729 variant n weight loss&#44; cardiovascular risk factors&#44; and adiponectin levels after two hypocaloric diets with different dietary fatty profiles&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Design</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">A population of 362 obese patients was enrolled in a randomized clinical trial with two diets &#40;Diet M&#44; monounsaturated fat-enriched diet&#44; and Diet P&#44; polyunsaturated-fat enriched diet&#41;&#46; Anthropometric measurements&#44; an assessment of nutritional intake&#44; and biochemical tests were performed at baseline and after 12 weeks&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Weight loss was similar with both diets&#46; After Diet M&#44; only subjects with CC genotype showed significant improvements in total cholesterol &#40;CC vs&#46; CG<span class="elsevierStyleHsp" style=""></span>&#177;GG&#41; &#40;&#8722;9&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;1<span class="elsevierStyleHsp" style=""></span>mU&#47;L vs&#46; &#8722;4&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;4<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01&#41;&#44; LDL cholesterol &#40;&#8722;6&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;1<span class="elsevierStyleHsp" style=""></span>mg&#47;dL vs&#46; &#8722;3&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;9<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;03&#41;&#44; glucose &#40;&#8722;4&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;1<span class="elsevierStyleHsp" style=""></span>mg&#47;dL vs&#46; &#8722;0&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;5<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01&#41;&#44; and insulin levels &#40;&#8722;2&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;0<span class="elsevierStyleHsp" style=""></span>mU&#47;L vs&#46; &#8722;0&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;3<span class="elsevierStyleHsp" style=""></span>mU&#47;L&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41; and in HOMA-IR &#40;&#8722;0&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;2 units vs&#46; &#8722;0&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;4 units&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;03&#41;&#46; The same improvement was reported after Diet P in all parameters&#44; including total cholesterol &#40;CC vs&#46; CG<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>GG&#41; &#40;&#8722;8&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;2<span class="elsevierStyleHsp" style=""></span>mU&#47;L vs&#46; &#8722;2&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;4<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41;&#44; LDL cholesterol &#40;&#8722;7&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;2<span class="elsevierStyleHsp" style=""></span>mg&#47;dL vs&#46; &#8722;2&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;8<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41;&#44; glucose &#40;&#8722;3&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;1<span class="elsevierStyleHsp" style=""></span>mg&#47;dL vs&#46; &#8722;0&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;5<span class="elsevierStyleHsp" style=""></span>mg&#47;dL&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01&#41;&#44; and insulin levels &#40;&#8722;2&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;0<span class="elsevierStyleHsp" style=""></span>mU&#47;L vs&#46; &#8722;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;6<span class="elsevierStyleHsp" style=""></span>mU&#47;L&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41; and HOMA-IR &#40;&#8722;0&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;1 units vs&#46; &#8722;0&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#46;4 units&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&#41;&#46; Only subjects with CC genotype showed significant increases in adiponectin levels after both diets&#58; &#40;Diet M&#58; 10&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;0<span class="elsevierStyleHsp" style=""></span>ng&#47;dL vs&#46; Diet P&#58; 9&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;9<span class="elsevierStyleHsp" style=""></span>ng&#47;dL&#44; <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;43&#41;&#46;</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">The CC genotype of <span class="elsevierStyleItalic">ADIPOQ</span> gene rs266729 variant is associated to increased adiponectin levels and decreases in LDL cholesterol&#44; glucose&#44; insulin&#44; and HOMA-IR levels after weight loss&#46;</p></span>"
        "secciones" => array:5 [
          0 => array:2 [
            "identificador" => "abst0005"
            "titulo" => "Background"
          ]
          1 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Objective"
          ]
          2 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Design"
          ]
          3 => array:2 [
            "identificador" => "abst0020"
            "titulo" => "Results"
          ]
          4 => array:2 [
            "identificador" => "abst0025"
            "titulo" => "Conclusion"
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        ]
      ]
      "es" => array:3 [
        "titulo" => "Resumen"
        "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Antecedentes</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">El papel de las variantes del gen <span class="elsevierStyleItalic">ADIPOQ</span> en la p&#233;rdida de peso despu&#233;s de una intervenci&#243;n diet&#233;tica sigue sin estar claro&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Objetivo</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Nuestro objetivo fue analizar los efectos de la variante rs266729 del gen <span class="elsevierStyleItalic">ADIPOQ</span> sobre la p&#233;rdida de peso&#44; los factores de riesgo cardiovascular y los niveles de adiponectina despu&#233;s de 2 dietas hipocal&#243;ricas con diferentes perfiles de grasas en la dieta&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Dise&#241;o</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Una poblaci&#243;n de 362 pacientes obesos se incluyeron en un ensayo cl&#237;nico aleatorizado con 2 dietas &#40;dieta M&#58; dieta enriquecida con grasas monoinsaturadas y dieta P&#58; dieta enriquecida con grasas poliinsaturadas&#41;&#46; Antes y tras 12 semanas&#44; se realiz&#243; una evaluaci&#243;n antropom&#233;trica&#44; evaluaci&#243;n de la ingesta nutricional y un an&#225;lisis bioqu&#237;mico&#46;</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">La p&#233;rdida de peso fue similar con ambas dietas&#46; Despu&#233;s de la dieta M&#44; solo los sujetos con genotipo CC mostraron una mejor&#237;a significativa en el colesterol total &#40;CC vs&#46; CG<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>GG&#41; &#40;&#8722;9&#44;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#44;1<span class="elsevierStyleHsp" style=""></span>mU&#47;l vs&#46; &#8722;4&#44;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#44;4<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;01&#41;&#44; colesterol LDL &#40;&#8722;6&#44;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#44;1<span class="elsevierStyleHsp" style=""></span>mg&#47;dl vs&#46; &#8722;3&#44;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;9<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;03&#41;&#44; glucosa &#40;&#8722;4&#44;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#44;1<span class="elsevierStyleHsp" style=""></span>mg&#47;dl vs&#46; &#8722;0&#44;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;5<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;01&#41;&#44; niveles de insulina &#40;&#8722;2&#44;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#44;0<span class="elsevierStyleHsp" style=""></span>mU&#47;l vs&#46; &#8722;0&#44;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;3<span class="elsevierStyleHsp" style=""></span>mU&#47;l&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;02&#41; y HOMA-IR &#40;&#8722;0&#44;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;2 unidades vs&#46; &#8722;0&#44;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;4 unidades&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;03&#41;&#46; La misma mejora en todos los par&#225;metros se inform&#243; despu&#233;s de la dieta P&#59; niveles de colesterol total &#40;CC vs&#46; CG<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>GG&#41; &#40;&#8722;8&#44;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#44;2<span class="elsevierStyleHsp" style=""></span>mU&#47;l vs&#46; &#8722;2&#44;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#44;4<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;02&#41;&#44; colesterol LDL &#40;&#8722;7&#44;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#44;2<span class="elsevierStyleHsp" style=""></span>mg&#47;dl vs&#46; &#8722;2&#44;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;8<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;02&#41;&#44; glucosa &#40;&#8722;3&#44;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;1<span class="elsevierStyleHsp" style=""></span>mg&#47;dl vs&#46; &#8722;0&#44;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;5<span class="elsevierStyleHsp" style=""></span>mg&#47;dl&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;01&#41;&#44; niveles de insulina &#40;&#8722;2&#44;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#44;0<span class="elsevierStyleHsp" style=""></span>mU&#47;l vs&#46; &#8722;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;6<span class="elsevierStyleHsp" style=""></span>mU&#47;l&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;02&#41; y HOMA-IR &#40;&#8722;0&#44;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;1 unidades vs&#46; &#8722;0&#44;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>0&#44;4 unidades&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;02&#41;&#46; Solo los sujetos con genotipo CC mostraron un aumento significativo de los niveles de adiponectina despu&#233;s de ambas dietas&#58; &#40;dieta M&#58; 10&#44;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#44;0<span class="elsevierStyleHsp" style=""></span>ng&#47;dl vs&#46; dieta P&#58; 9&#44;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#44;9<span class="elsevierStyleHsp" style=""></span>ng&#47;dl&#59; p<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#44;43&#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">El genotipo CC de la variante rs266729 del gen <span class="elsevierStyleItalic">ADIPOQ</span> se asocia con aumentos en los niveles de adiponectina y disminuci&#243;n del colesterol LDL&#44; glucosa&#44; insulina y HOMA-IR tras la p&#233;rdida de peso&#46;</p></span>"
        "secciones" => array:5 [
          0 => array:2 [
            "identificador" => "abst0030"
            "titulo" => "Antecedentes"
          ]
          1 => array:2 [
            "identificador" => "abst0035"
            "titulo" => "Objetivo"
          ]
          2 => array:2 [
            "identificador" => "abst0040"
            "titulo" => "Dise&#241;o"
          ]
          3 => array:2 [
            "identificador" => "abst0045"
            "titulo" => "Resultados"
          ]
          4 => array:2 [
            "identificador" => "abst0050"
            "titulo" => "Conclusi&#243;n"
          ]
        ]
      ]
    ]
    "multimedia" => array:3 [
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        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
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          "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">BMI&#58; body mass index DBP&#44; diastolic blood pressure&#59; SBP&#44; systolic blood pressure&#59; WC&#44; waist circumference&#59; Statistical differences in each genotype group &#40;&#42; BMI&#44; <span class="elsevierStyleSup">x</span> Weight&#44; &#35;fat mass&#44; &#38; WC&#44; &#42;&#42;SBP&#41;&#46; No statistical differences between genotype groups&#46; In the column &#8220;<span class="elsevierStyleItalic">p</span>&#8221;&#44; &#8220;time&#8221; is the <span class="elsevierStyleItalic">p</span> value between basal and at 3 months values&#44; &#8220;genotype&#8221; is the <span class="elsevierStyleItalic">p</span> value at basal&#8217; time between each genotype and at 3 months&#8217; time between each genotype&#44; &#8220;time<span class="elsevierStyleHsp" style=""></span>&#215;<span class="elsevierStyleHsp" style=""></span>genotype&#8221; is the <span class="elsevierStyleItalic">p</span> value of the interaction&#46;</p>"
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                  \t\t\t\t" scope="col">Characteristics&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">93&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>7&#46;0 <span class="elsevierStyleSup">x</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">92&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>8&#46;5 <span class="elsevierStyleSup">x</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Fat mass &#40;kg&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">WC &#40;cm&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">92&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>8&#46;1 <span class="elsevierStyleSup">x</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">96&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>7&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">198&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>12&#46;2&#36;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">209&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>20&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">204&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>18&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;04<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;16<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;04&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">LDL-cholesterol &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">128&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>12&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">122&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>9&#46;1 &#36;&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">129&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>13&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">127&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>11&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;03<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;23<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HDL-cholesterol &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">53&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>7&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">50&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>5&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&#46;6<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>4&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;1<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;52<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;1&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Triglycerides &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">122&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>20&#46;1&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">117&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>11&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">126&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>31&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;62<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;88<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;31&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">CRP &#40;ng&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Basal&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">3 months&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Glucose &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">101&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>10&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">98&#46;0<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>8&#46;3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">101&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>10&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">99&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>8&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;10<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Total cholesterol &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">207&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>8&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">199&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>9&#46;0&#36;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">195&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>11&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">194&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>12&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;16<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">LDL-cholesterol &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">130&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>21&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">123&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>9&#46;1&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">120&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>22&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">118&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>10&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;16<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;03&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HDL-cholesterol &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">51&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>6&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">50&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>5&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>9&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">48&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>7&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;19<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;41<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;28&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Triglycerides &#40;mg&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">131&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>13&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">124&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>9&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">139&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>11&#46;9&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">137&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>8&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;60<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;81<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;23&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">CRP &#40;ng&#47;dl&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;2<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&#46;5<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;58<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;79<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;31&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Insulin &#40;mUI&#47;l&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">13&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>5&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;2&#35;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>6&#46;0&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">11&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>8&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;32<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;04&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HOMA-IR&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;4<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;0&#38;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;3<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>2&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Biochemical parameters at basal time and after both dietary intervention &#40;mean<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>SD&#41;&#46;</p>"
        ]
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        "tipo" => "MULTIMEDIATABLA"
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            "identificador" => "at3"
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                  <table border="0" frame="\n
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                  \t\t\t\t" scope="col">Characteristics&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>1&#46;2&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">9&#46;8<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>4&#46;0&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">20&#46;1<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>5&#46;9<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">10&#46;7<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>3&#46;1&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">9&#46;9<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>6&#46;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;01<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;12<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>0&#46;02&nbsp;\t\t\t\t\t\t\n
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                          "etal" => false
                          "autores" => array:2 [
                            0 => "W&#46;S&#46; Yang"
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                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "M&#46; Takahashi"
                            1 => "Y&#46; Arita"
                            2 => "K&#46; Yamagata"
                            3 => "Y&#46; Matsukawa"
                            4 => "K&#46; Okutomi"
                            5 => "M&#46; Horie"
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                    0 => array:2 [
                      "doi" => "10.1038/sj.ijo.0801244"
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                          "etal" => false
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                      "doi" => "10.4137/bmi.s3453"
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                          "etal" => true
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                      "titulo" => "Identification of a regulatory single nucleotide polymorphism in the adiponectin &#40;APM1&#41; gene associated with type 2 diabetes in Han nationality"
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                          "etal" => false
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                      "titulo" => "Adiponectin gene variant RS rs266729&#58; relation to lipid profile changes and circulating adiponectin after bariatric surgery"
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                    0 => array:2 [
                      "titulo" => "Tablas de composici&#243;n de alimentos espa&#241;oles"
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                        0 => array:2 [
                          "etal" => false
                          "autores" => array:2 [
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                    0 => array:1 [
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Article information

ISSN: 25300164
Original language: English

DOI:10.1016/j.endinu.2019.09.004

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Year/Month	Html	Pdf	Total

2024 November	4	1	5
2024 October	19	9	28
2024 September	24	14	38
2024 August	31	13	44
2024 July	16	13	29
2024 June	28	15	43
2024 May	21	10	31
2024 April	27	20	47
2024 March	48	18	66
2024 February	44	10	54
2024 January	17	2	19
2023 December	23	1	24
2023 November	33	2	35
2023 October	47	3	50
2023 September	25	3	28
2023 August	31	0	31
2023 July	24	3	27
2023 June	21	6	27
2023 May	41	2	43
2023 April	44	3	47
2023 March	20	0	20
2023 February	23	7	30
2023 January	19	1	20
2022 December	14	6	20
2022 November	35	8	43
2022 October	18	8	26
2022 September	20	14	34
2022 August	15	7	22
2022 July	13	7	20
2022 June	24	5	29
2022 May	27	6	33
2022 April	11	7	18
2022 March	18	14	32
2022 February	7	3	10
2022 January	16	4	20
2021 December	12	13	25
2021 November	14	7	21
2021 October	20	16	36
2021 September	10	11	21
2021 August	11	6	17
2021 July	15	8	23
2021 June	12	9	21
2021 May	17	5	22
2021 April	21	26	47
2021 March	14	7	21
2021 February	20	13	33
2021 January	21	4	25
2020 December	14	4	18
2020 November	2	4	6
2020 September	11	2	13
2020 August	2	0	2
2020 July	2	0	2
2020 June	16	2	18
2020 February	0	2	2

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