Corresponding author. Juan Badiano No. 1, Tlalpan 14080, México DF, Mexico. Tel.: +52 55 5573 2911x1460; fax: +52 55 5573 0926.
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Martínez-Ríos, Gilberto Vargas-Alarcón, Maite Vallejo, Erick Cruz-Martínez, Oscar Pérez-Méndez, Ángel Medina-Andrade, Mónica De la Torre-García, Marco A. Peña-Duque, José Manuel Fragoso" "autores" => array:9 [ 0 => array:3 [ "nombre" => "Marco A." 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Juan Badiano No. 1, Tlalpan 14080, México DF, Mexico. Tel.: +52 55 5573 2911x1460; fax: +52 55 5573 0926." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "No existe asociación entre los polimorfismos del receptor tipo toll-4 y el síndrome coronario agudo" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Atherosclerosis is a multifactorial disorder that results from an excessive inflammatory response to various forms of injurious stimuli to the arterial wall.<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1–3</span></a> The inflammatory processes, genetic background, and various environmental factors, coupled to dyslipidemia, including hypertension, diabetes, obesity, and smoking play an important role in the progression of the atherosclerotic plaque.<a class="elsevierStyleCrossRefs" href="#bib0015"><span class="elsevierStyleSup">3–5</span></a> The transition of a stable coronary atherosclerotic lesion into a ruptured and eroded plaque results in the clinical manifestation of an acute coronary syndrome (ACS).<a class="elsevierStyleCrossRefs" href="#bib0025"><span class="elsevierStyleSup">5,6</span></a> The ACS includes unstable angina and myocardial infarction caused mainly by rupture or erosion of the atherosclerotic plaque, with subsequent thrombus formation.<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6–8</span></a> Mounting evidence suggests that specific agents enhance arterial inflammation during atherogenesis, based on their interaction with receptor signaling pathways of the innate immune systems.<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">9,10</span></a> Toll-like receptor 4 (<span class="elsevierStyleItalic">TLR-4</span>) is part of the innate immunity response cascade. It has been associated as one of the factors contributing to the deleterious process of atherosclerosis.<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11–13</span></a><span class="elsevierStyleItalic">TLR-4</span> is well known as a pattern-recognition receptor for exogenous lipopolysacharide (LPS) derived from gram-negative bacterial infection.<a class="elsevierStyleCrossRefs" href="#bib0070"><span class="elsevierStyleSup">14,15</span></a> However, several studies showed that <span class="elsevierStyleItalic">TLR-4</span> interacts with other ligands, such as fibrinogen,<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> fibronectin,<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a> heat-shock protein,<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a> hyaluronan oligosaccharide<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a> and modified low-density lipoproteins (LDL),<a class="elsevierStyleCrossRefs" href="#bib0100"><span class="elsevierStyleSup">20,21</span></a> playing an important role in the development of the atherosclerotic plaque. The <span class="elsevierStyleItalic">TLR-4</span> gene is located in the 9q32 region.<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a><span class="elsevierStyleItalic">TLR-4</span> presents two single nucleotide polymorphisms (SNP), both polymorphisms, rs4986790 (<span class="elsevierStyleItalic">Asp299Gly</span>) and rs4986791 (<span class="elsevierStyleItalic">Thr399Ile</span>), are located in the coding region. These (SNPs) affect <span class="elsevierStyleItalic">TLR-4</span> extracellular domain and result in amino acid exchanges: an aspartic acid for a glycine at position 299 (<span class="elsevierStyleItalic">Asp299Gly</span>) and a threonine for a isoleucine at position 399 (<span class="elsevierStyleItalic">Thr399Ile</span>).<a class="elsevierStyleCrossRefs" href="#bib0110"><span class="elsevierStyleSup">22,23</span></a> Several studies associate these polymorphisms with several inflammatory diseases, such as ACS, gastric cancer, carotid artery elasticity, chronic obstructive pulmonary disease, and atherosclerosis.<a class="elsevierStyleCrossRefs" href="#bib0120"><span class="elsevierStyleSup">24–28</span></a> Considering the prominent role of the <span class="elsevierStyleItalic">TLR-4</span> as initiator of the inflammatory response, this study was based on the assumption that the <span class="elsevierStyleItalic">TLR-4</span> gene polymorphisms have a measurable influence in the development of the atherosclerotic plaque and contributes to or increases the occurrence of ACS. The objective of this study was to establish the possible role of the <span class="elsevierStyleItalic">TLR-4</span> gene polymorphisms as a risk factor for ACS in a group of Mexicans patients.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Study populations</span><p id="par0010" class="elsevierStylePara elsevierViewall">The study included 457 Mexican patients with ACS (368 males and 89 females, mean age 59.7<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>11.02) that were attended to our Institution. Three hundred forty-two presented myocardial infarction and 115 presented unstable angina. All subjects were diagnosed according to the World Health Organization and the American Heart Associated (AHA)/American College of Cardiology (ACC).<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">29</span></a> Basis in clinical history, physical examination with electrocardiography, chest radiography, echocardiography, and coronary angiography. The group of patients was compared with a group of 283 healthy unrelated individuals (202 males and 81 females, mean age 55.39<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7.23). This group was selected from people arriving with the purpose to donation at the blood bank at our institute. According to the medical records, none of these had diabetes, dyslipidemia, hypertension or other pathology. On the other hand, subclinical atherosclerosis was discarded through determined calcium score by multi-detector computed tomography. The values were zero in these individuals. All subjects included in the study (patients and controls) were ethnically matched, and we considered as Mexican Mestizos only those individuals who had been born in Mexico for three generations, including their own. A Mexican Mestizo is defined as someone born in Mexico, who is a descendant of the original autochthonous inhabitants of the region and of individuals, mainly Spaniards, of Caucasian and African origin, who came to the American continent during the sixteenth century. The Institutional Ethics and Research Committees approved the study, and all subjects provided written, informed consent.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">DNA extraction</span><p id="par0015" class="elsevierStylePara elsevierViewall">Genomic DNA from whole blood containing EDTA was isolated with a standard technique.<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">30</span></a></p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Determination of the TLR-4 genotypes</span><p id="par0020" class="elsevierStylePara elsevierViewall">The <span class="elsevierStyleItalic">TLR-4 Asp299Gly</span> (rs4986790) and <span class="elsevierStyleItalic">TLR-4 Thr399Ile</span> (rs4986791) single nucleotide polymorphisms were genotyped using 5′ exonuclease TaqMan genotyping assays on an 7900HT Fast real-time PCR system according to manufacturer's instructions (Applied Biosystems, Foster City, USA).</p><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Statistical analysis</span><p id="par0025" class="elsevierStylePara elsevierViewall">Gene frequencies of <span class="elsevierStyleItalic">TLR-4</span> polymorphisms in patients and controls were obtained by direct counting. Hardy–Weinberg equilibrium was evaluated by Chi<span class="elsevierStyleSup">2</span> test. Statistical analysis was carried out with the Stata 10.0 software for Windows. In the exploratory analysis, numerical data showed a different distribution from normal standard (Gaussian distribution) (Shapiro Wilk's test of normality, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0.05), nominal and categorical variables were tabulated to estimate their proportions. Hypertension, altered lipid profile, smoking, and type 2 diabetes mellitus had two categories, yes or no, and all described the current condition of patients and healthy controls. Comparison of numerical variables, such as age and body mass index, between both groups was carried out with Mann–Whitney <span class="elsevierStyleItalic">U</span> test, data are presented as the 25th percentile, median, and 75th percentile. Categorical variables were analyzed with Chi<span class="elsevierStyleSup">2</span> tests and presented as absolute frequencies and proportions. Statistical significance was set at <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.05. Multiple logistic regression analysis was carried out to identify the variables that better explain the risk of developing ACS between patients and healthy controls. Models were constructed including one variable at a time to identify confounding bias; changes in estimated odds ratios (ORs) were less than 10%. When a main effect model was reached, effect modification was also tested, interaction terms were constructed between age and BMI, hypertension and type 2 diabetes mellitus, smoking and hypertension, and gender and BMI, no significant ORs (<span class="elsevierStyleItalic">p</span> ≤ 0.20) were identified and therefore these terms were not included in the final model. Hosmer–Lemeshow Goodness of fit test was performed for each multiple logistic model. Pairwise linkage disequilibrium (LD, D′) estimations between polymorphisms and haplotype reconstruction were performed with Haploview version 4.1 (Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA).</p></span></span></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Results</span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Characteristic of the study sample</span><p id="par0030" class="elsevierStylePara elsevierViewall">Baseline characteristic of the ACS patients and healthy controls included in the study are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Allele and genotype frequencies</span><p id="par0035" class="elsevierStylePara elsevierViewall">The observed and expected frequencies in the two polymorphic sites of the toll-like receptor (<span class="elsevierStyleItalic">TLR-4</span>) were in Hardy–Weinberg equilibrium. The allele and genotype frequencies of the two studied polymorphisms (positions +896 <span class="elsevierStyleItalic">A>G</span> (<span class="elsevierStyleItalic">Asp299Gly</span>) and +1196 <span class="elsevierStyleItalic">C>T</span> (<span class="elsevierStyleItalic">Thr399Ile</span>)) were similar between patients with ACS and healthy controls (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>). The multiple logistic regression analysis showed that the largest risk for ACS development was given by smoking (11.88-fold increased risk), hypertension (4.32-fold increased risk), type II diabetes (3.44-fold increased risk), gender (2.32-fold increased risk), and dyslipidemia (1.52-fold increased risk) (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>). The +896 <span class="elsevierStyleItalic">A>G</span> (<span class="elsevierStyleItalic">Asp299Gly</span>) and +1196 <span class="elsevierStyleItalic">C>T</span> (<span class="elsevierStyleItalic">Thr399Ile</span>) polymorphisms showed a strong linkage disequilibrium (<span class="elsevierStyleItalic">D</span>′<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.82) and were used to construct two haplotypes (<span class="elsevierStyleItalic">AC</span> and <span class="elsevierStyleItalic">GT</span>). The haplotype “<span class="elsevierStyleItalic">AC</span>” showed a similar distribution in ACS patients and healthy controls (95.7% and 96.8%, respectively). Moreover, the “<span class="elsevierStyleItalic">GT</span>” haplotype showed a similar decreased in patients and control (4.3%, and 3.2%, respectively).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Discussion</span><p id="par0040" class="elsevierStylePara elsevierViewall">In the present work, we studied two polymorphisms (<span class="elsevierStyleItalic">Asp299Gly</span> and <span class="elsevierStyleItalic">Thr399Ile</span>) located in the <span class="elsevierStyleItalic">TLR-4</span> gene in 457 patients with ACS and 283 healthy controls. In humans, both polymorphisms affect <span class="elsevierStyleItalic">TLR-4</span> extracellular domain and individuals that possess these polymorphisms are hyporesponsive to several ligands.<a class="elsevierStyleCrossRefs" href="#bib0055"><span class="elsevierStyleSup">11–13</span></a> In this study, we observed that the distribution of the two polymorphisms were similar in patients with ACS and healthy controls. The association of the <span class="elsevierStyleItalic">TLR-4</span> gene polymorphisms with several diseases in different populations is controversial with positive and negative results. For example, Koch et al. reported no association of the two <span class="elsevierStyleItalic">TLR-4</span> gene polymorphisms with myocardial infarction in 3647 patients and 1211 individuals control with angiographic normal coronary and without signs or symptoms of myocardial infarction. In this work the authors showed that gender (women and men) did not sex-related associations and genotypes of polymorphisms in a Caucasian population,<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">31</span></a> agreeing with our results. Similar data were obtained by Labrum et al. who studied the two <span class="elsevierStyleItalic">TLR-4</span> gene polymorphisms in a cohort 3000 individuals obtained of carotid atherosclerosis progression study. In this study showed no association between carotid artery intima-media thickness and polymorphisms of the TLR4 gene in 1460 males and 1540 females. However, there was no association between polymorphisms of TLR4 gene and baseline intima-media thickness. In addition, is reported there was no interactions between polymorphisms and the cardiovascular risk factors (C-reactive protein, smoking, body mass index and diabetes) in Caucasian population.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">32</span></a> Moreover, Zee et al. reported that the <span class="elsevierStyleItalic">Asp299Gly</span> polymorphism is not associated with risk of incident myocardial infarction and stroke in 695 patients and 695 individuals control matched by age, smoking history, adjusted by body mass index, history of hypertension and presence or absence of diabetes, in a US population,<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">33</span></a> in line with our data. In contrast with these results, Ameziane et al. reported that the <span class="elsevierStyleItalic">299Gly</span> allele is associated with decreased risk of developing ACS in 183 patients and 216 controls (OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.41). In addition, in controls the individuals with heterozygous (299 Asp/Gly) genotype was also associated with a significantly decrease in plasma fibrinogen and soluble vascular cellular adhesion molecule-1 levels in a French population.<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">24</span></a> On the other hand, Hernesniemi et al. reported an association of the <span class="elsevierStyleItalic">299Gly</span> allele with increased carotid artery elasticity in a cohort of 2201 young adults. In addition, according to multivariate linear regression analysis adjusted with potential confounders, the 299<span class="elsevierStyleItalic">Gly</span> allele carriers had significantly higher carotid arterial compliance, measured in increase of luminal diameter percentage in response to blood pressure. This increase has beneficial effects, because it reduces the risk of future cardiovascular events.<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">25</span></a> Santini et al. reported in a case–control study that the <span class="elsevierStyleItalic">CT</span> (<span class="elsevierStyleItalic">Thr/Ile</span>) genotype of the <span class="elsevierStyleItalic">Thr388Ile</span> polymorphism increases susceptibility to gastric cancer (OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>5.38). In addition, according with regression analysis determine that the <span class="elsevierStyleItalic">Thr/Ile</span> genotype adjusted for age, sex (male), alcohol intake and smoking status increases susceptibility to gastric cancer (OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>3.62).<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">26</span></a> Similar data were reported by Speletas et al., who observed that the <span class="elsevierStyleItalic">T</span> (<span class="elsevierStyleItalic">Ile</span>) allele and <span class="elsevierStyleItalic">CT</span> (<span class="elsevierStyleItalic">Thr/Ile</span>) genotype (OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2.4 and OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>2.0, respectively) are associated with risk of developing chronic obstructive pulmonary disease in a case–control study. Unfortunately, authors no determine differences between polymorphism and clinical and demographic data.<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">27</span></a> Nonetheless, the results obtained of the multiple logistic regression analysis showed that smoking, hypertension, type II diabetes, and gender increased more the risk of developing ACS. These data confirm the previous results obtained by our group in a small group of patients.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a> Moreover, this analysis showed no association between the <span class="elsevierStyleItalic">TLR4</span> gene polymorphisms and clinical characteristics of the ACS in Mexican patients.</p><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Limitations of the study</span><p id="par0045" class="elsevierStylePara elsevierViewall">We recognize that our study has limitations; one was the limited samples number in controls group. Another limitation was pairing by gender between patients group and control group. Some experts consider that a proper analysis would need a relation between controls and patients of 1:1. Unfortunately for this report we could not meet this criterion. Nonetheless, the results from the present study are concordant with data reported in the international literature.</p></span></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Conclusion</span><p id="par0050" class="elsevierStylePara elsevierViewall">The <span class="elsevierStyleItalic">Asp299Gly</span> and <span class="elsevierStyleItalic">Thr399Ile</span> gene polymorphisms were not associated with ACS in the present group of Mexican patients.</p></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Funding</span><p id="par0055" class="elsevierStylePara elsevierViewall">This work was supported in part by grants from the <span class="elsevierStyleGrantSponsor" id="gs0005"><span class="elsevierStyleItalic">Consejo Nacional de Ciencia y Tecnología</span></span> (project 156911) and <span class="elsevierStyleGrantSponsor" id="gs0010"><span class="elsevierStyleItalic">Fundación Gonzalo Rio Arronte</span></span>, Mexico City, Mexico.</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Disclosure</span><p id="par0060" class="elsevierStylePara elsevierViewall">The authors alone are responsible for the content and writing of the paper.</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Conflicts of interest</span><p id="par0065" class="elsevierStylePara elsevierViewall">The authors report no conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:14 [ 0 => array:2 [ "identificador" => "xres298634" "titulo" => array:5 [ 0 => "Abstract" 1 => "Objective" 2 => "Methods" 3 => "Results" 4 => "Conclusion" ] ] 1 => array:2 [ "identificador" => "xpalclavsec281665" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "xres298633" "titulo" => array:5 [ 0 => "Resumen" 1 => "Objetivo" 2 => "Métodos" 3 => "Resultados" 4 => "Conclusión" ] ] 3 => array:2 [ "identificador" => "xpalclavsec281664" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Methods" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Study populations" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "DNA extraction" ] 2 => array:3 [ "identificador" => "sec0025" "titulo" => "Determination of the TLR-4 genotypes" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0030" "titulo" => "Statistical analysis" ] ] ] ] ] 6 => array:3 [ "identificador" => "sec0035" "titulo" => "Results" "secciones" => array:2 [ 0 => array:2 [ "identificador" => "sec0040" "titulo" => "Characteristic of the study sample" ] 1 => array:2 [ "identificador" => "sec0045" "titulo" => "Allele and genotype frequencies" ] ] ] 7 => array:3 [ "identificador" => "sec0050" "titulo" => "Discussion" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0055" "titulo" => "Limitations of the study" ] ] ] 8 => array:2 [ "identificador" => "sec0060" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0065" "titulo" => "Funding" ] 10 => array:2 [ "identificador" => "sec0070" "titulo" => "Disclosure" ] 11 => array:2 [ "identificador" => "sec0075" "titulo" => "Conflicts of interest" ] 12 => array:2 [ "identificador" => "xack70416" "titulo" => "Acknowledgment" ] 13 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2012-11-27" "fechaAceptado" => "2013-09-09" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec281665" "palabras" => array:4 [ 0 => "Single nucleotide polymorphisms" 1 => "Acute coronary syndrome" 2 => "Genetics" 3 => "Mexico" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec281664" "palabras" => array:4 [ 0 => "Polimorfismos de un nucleótido" 1 => "Síndrome coronario agudo" 2 => "Genética" 3 => "México" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:2 [ "titulo" => "Abstract" "resumen" => "<span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The objective of this study was to establish the role of the TLR-4 gene polymorphisms in individuals in risk of developing ACS.</p> <span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">The study included 457 Mexican patients with ACS and 283 control individuals. The TLR-4 Asp299Gly and TLR-4 Thr399Ile single nucleotide polymorphisms were genotyped using 5′ exonuclease TaqMan genotyping assays on an 7900HT Fast real-time PCR system according to manufacturer's instructions (Applied Biosystems, Foster City, USA).</p> <span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">The results obtained in this study showed that the frequency of the two polymorphisms (TLR-4 Asp299Gly and TLR-4 Thr399Ile) studied were similar between patients with ACS and healthy controls. Multiple logistic regression analysis showed that the largest risk factor for ACS development was given by smoking (11.88-fold increased risk), hypertension (4.32-fold increased risk), type II diabetes (3.44-fold increased risk), gender (2.32-fold increased risk), and dyslipidemia (1.52-fold increased risk).</p> <span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The Asp299Gly and Thr399Ile polymorphisms were not associated with susceptibility to ACS in the Mexican population.</p>" ] "es" => array:2 [ "titulo" => "Resumen" "resumen" => "<span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">El objetivo de este estudio fue establecer el papel de los polimorfismos del gen <span class="elsevierStyleItalic">TLR-4</span> en individuos en riesgo de desarrollar síndrome coronario agudo (SCA).</p> <span class="elsevierStyleSectionTitle" id="sect0040">Métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">El estudio incluyó a 457 pacientes mexicanos con SCA y 283 individuos como grupo control. Los polimorfismos de un solo nucleótido <span class="elsevierStyleItalic">TLR-4 Asp299Gly</span> y <span class="elsevierStyleItalic">TLR-4 Thr399Ile</span> fueron determinados usando ensayos TaqMan 5′ exonucleasa en un equipo tiempo real 7900HT (Fast real-time PCR system) de acuerdo con instrucciones del fabricante Applied Biosystems, Foster City, EE.UU.</p> <span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Los resultados obtenidos mostraron que las frecuencias de los 2 polimorfismos <span class="elsevierStyleItalic">(TLR-4 Asp299Gly</span> y <span class="elsevierStyleItalic">TLR-4 Thr399Ile)</span> estudiados fueron similares entre pacientes con SCA e individuos control. No obstante, el análisis de regresión logística mostró que los factores de mayor riesgo para desarrollar SCA se debieron a tabaquismo (incrementa 11.88 veces el riesgo), hipertensión (incrementa 4.32 veces el riesgo), diabetes tipo 2 (incrementa 3.44 veces el riesgo), género (incrementa 2.32 veces el riesgo), y la dislipidemia (incrementa 1.52 veces el riesgo).</p> <span class="elsevierStyleSectionTitle" id="sect0050">Conclusión</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Determinamos que los polimorfismos <span class="elsevierStyleItalic">Asp299Gly</span> y <span class="elsevierStyleItalic">Thr399Ile</span> no se asocian con la susceptibilidad al SCA en la población mexicana.</p>" ] ] "multimedia" => array:3 [ 0 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:3 [ "leyenda" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>: ACS, acute coronary syndrome; BMI, body index mass.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td 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" style="border-bottom: 2px solid black">Clinical characteristics \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">ACS patients \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">Healthy controls \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value \t\t\t\t\t\t\n \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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"><span class="elsevierStyleBold">Median (percentile 25–75)</span> \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"><span class="elsevierStyleBold">Median (percentile 25–75)</span> \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Age (years) \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">59 (53–67) \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 (50–60) \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"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">BMI (kg/m<span class="elsevierStyleSup">2</span>) \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">26.7 (24.4–29.4) \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">27.7 (25.5–30.1) \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">0.0027 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="4" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \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"><span class="elsevierStyleItalic"><span class="elsevierStyleBold">n</span></span><span class="elsevierStyleBold">(%)</span> \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"><span class="elsevierStyleItalic"><span class="elsevierStyleBold">n</span></span><span class="elsevierStyleBold">(%)</span> \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="" valign="\n \t\t\t\t\ttop\n \t\t\t\t"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Men<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></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">368 (80) \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">202 (71) \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">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Hypertension (mmHg)<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></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">311 (68) \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">94 (33) \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"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Type 2 diabetes<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></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">191 (42) \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 (14) \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"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Dyslipidemia<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></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">239 (52) \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">119 (42) \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">0.007 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Smoking<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></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">245 (54) \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">59 (21) \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">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab436967.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005"><span class="elsevierStyleItalic">n</span>(%) number and proportion of subjects with the same clinical characteristic in both groups.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Baseline clinical characteristics of the study group.</p>" ] ] 1 => array:7 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td 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" style="border-bottom: 2px solid black">Polymorphisms \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">Allele/genotype \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">ACS patients, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">Controls, <span class="elsevierStyleItalic">n</span> (%) \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value \t\t\t\t\t\t\n \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="5" align="left" valign="middle"><span class="elsevierStyleItalic">TLR4-Asp299Gly</span></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">A (Asp)</span> \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">882 (97) \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">550 (97) \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 " rowspan="2" align="left" valign="middle">NS</td></tr><tr title="table-row"><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">G (Gly)</span> \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">32 (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">16 (3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">AA (Asp/Asp)</span> \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">425 (93) \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">267 (94) \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 " rowspan="3" align="left" valign="middle">NS</td></tr><tr title="table-row"><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">AG (Asp/Gly)</span> \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">32 (7) \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">16 (6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">GG (Gly/gly)</span> \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">0 (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">0 (0) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " colspan="5" align="left" valign="middle"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="5" align="left" valign="middle"><span class="elsevierStyleItalic">TLR4-Thr399Ile</span></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">C (Thr)</span> \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">881 (97) \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">550 (97) \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 " rowspan="2" align="left" valign="middle">NS</td></tr><tr title="table-row"><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">G (Ile)</span> \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">33 (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">16 (3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">CC (Thr/Thr)</span> \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">424 (97) \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">267 (94) \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 " rowspan="3" align="left" valign="middle">NS</td></tr><tr title="table-row"><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">CT (Thr/Ile)</span> \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">33 (7) \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">16 (6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">TT (Ile/Ile)</span> \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">0 (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">0 (0) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab436969.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Allele and genotype distribution between cases and controls.</p>" ] ] 2 => array:7 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviation</span>: CVRF, cardiovascular risk factor.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td 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" style="border-bottom: 2px solid black">CVRF \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">OR \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">95% CI \t\t\t\t\t\t\n \t\t\t\t</td><td 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" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span> value \t\t\t\t\t\t\n \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><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">Gender (female/male) \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">2.32 \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">1.41–3.80 \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">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Age (years) \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">1.03 \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">1.01–1.05 \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">0.003 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Hypertension (yes/no) \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">4.32 \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">2.80–6.64 \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"><10<span class="elsevierStyleSup">−3</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Dyslipidemia (yes/no) \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">1.52 \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">1.01–2.28 \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">0.043 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Current smoking (yes/no) \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">11.88 \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">7.26–19.42 \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"><10<span class="elsevierStyleSup">−3</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Type 2 diabetes mellitus (yes/no) \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">3.44 \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">2.13–5.55 \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"><10<span class="elsevierStyleSup">−3</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><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">Body mass index (kg/m<span class="elsevierStyleSup">2</span>) \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">0.93 \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">0.88–0.98 \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">0.004 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] 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Year/Month | Html | Total | |
---|---|---|---|
2024 November | 2 | 0 | 2 |
2024 October | 10 | 2 | 12 |
2024 September | 21 | 3 | 24 |
2024 August | 17 | 2 | 19 |
2024 July | 8 | 4 | 12 |
2024 June | 10 | 3 | 13 |
2024 May | 20 | 2 | 22 |
2024 April | 20 | 3 | 23 |
2024 March | 121 | 3 | 124 |
2024 February | 38 | 4 | 42 |
2024 January | 30 | 1 | 31 |
2023 December | 24 | 12 | 36 |
2023 November | 22 | 1 | 23 |
2023 October | 50 | 5 | 55 |
2023 September | 16 | 2 | 18 |
2023 August | 14 | 4 | 18 |
2023 July | 16 | 4 | 20 |
2023 June | 10 | 2 | 12 |
2023 May | 20 | 3 | 23 |
2023 April | 12 | 4 | 16 |
2023 March | 9 | 3 | 12 |
2023 February | 11 | 2 | 13 |
2023 January | 8 | 8 | 16 |
2022 December | 7 | 4 | 11 |
2022 November | 10 | 6 | 16 |
2022 October | 8 | 16 | 24 |
2022 September | 15 | 5 | 20 |
2022 August | 13 | 6 | 19 |
2022 July | 13 | 9 | 22 |
2022 June | 7 | 6 | 13 |
2022 May | 9 | 6 | 15 |
2022 April | 14 | 12 | 26 |
2022 March | 13 | 11 | 24 |
2022 February | 11 | 3 | 14 |
2022 January | 23 | 9 | 32 |
2021 December | 12 | 6 | 18 |
2021 November | 8 | 10 | 18 |
2021 October | 10 | 10 | 20 |
2021 September | 15 | 12 | 27 |
2021 August | 7 | 5 | 12 |
2021 July | 10 | 6 | 16 |
2021 June | 11 | 7 | 18 |
2021 May | 7 | 7 | 14 |
2021 April | 15 | 19 | 34 |
2021 March | 16 | 6 | 22 |
2021 February | 11 | 8 | 19 |
2021 January | 15 | 9 | 24 |
2020 December | 8 | 8 | 16 |
2020 November | 6 | 8 | 14 |
2020 October | 13 | 5 | 18 |
2020 September | 15 | 12 | 27 |
2020 August | 19 | 8 | 27 |
2020 July | 9 | 8 | 17 |
2020 June | 9 | 11 | 20 |
2020 May | 10 | 8 | 18 |
2020 April | 18 | 4 | 22 |
2020 March | 14 | 3 | 17 |
2020 February | 11 | 6 | 17 |
2020 January | 8 | 3 | 11 |
2019 December | 21 | 1 | 22 |
2019 November | 10 | 9 | 19 |
2019 October | 6 | 1 | 7 |
2019 September | 12 | 3 | 15 |
2019 August | 10 | 5 | 15 |
2019 July | 7 | 9 | 16 |
2019 June | 20 | 13 | 33 |
2019 May | 58 | 28 | 86 |
2019 April | 28 | 11 | 39 |
2019 March | 15 | 3 | 18 |
2019 February | 18 | 3 | 21 |
2019 January | 21 | 1 | 22 |
2018 December | 18 | 4 | 22 |
2018 November | 27 | 3 | 30 |
2018 October | 18 | 14 | 32 |
2018 September | 14 | 3 | 17 |
2018 August | 35 | 0 | 35 |
2018 July | 15 | 2 | 17 |
2018 June | 6 | 0 | 6 |
2018 May | 4 | 5 | 9 |
2018 April | 24 | 7 | 31 |
2018 March | 83 | 1 | 84 |
2018 February | 15 | 1 | 16 |
2018 January | 82 | 2 | 84 |
2017 December | 40 | 3 | 43 |
2017 November | 11 | 2 | 13 |
2017 October | 13 | 6 | 19 |
2017 September | 12 | 0 | 12 |
2017 August | 20 | 2 | 22 |
2017 July | 12 | 3 | 15 |
2017 June | 11 | 14 | 25 |
2017 May | 17 | 3 | 20 |
2017 April | 14 | 4 | 18 |
2017 March | 13 | 34 | 47 |
2017 February | 17 | 7 | 24 |
2017 January | 23 | 2 | 25 |
2016 December | 38 | 7 | 45 |
2016 November | 45 | 12 | 57 |
2016 October | 52 | 8 | 60 |
2016 September | 23 | 12 | 35 |
2016 August | 27 | 5 | 32 |
2016 July | 30 | 3 | 33 |
2016 June | 17 | 4 | 21 |
2016 May | 18 | 12 | 30 |
2016 April | 9 | 8 | 17 |
2016 March | 16 | 17 | 33 |
2016 February | 18 | 16 | 34 |
2016 January | 16 | 12 | 28 |
2015 December | 19 | 8 | 27 |
2015 November | 10 | 5 | 15 |
2015 October | 19 | 10 | 29 |
2015 September | 14 | 4 | 18 |
2015 August | 10 | 3 | 13 |
2015 July | 11 | 0 | 11 |
2015 June | 11 | 0 | 11 |
2015 May | 20 | 1 | 21 |
2015 April | 16 | 17 | 33 |
2015 March | 20 | 12 | 32 |
2015 February | 10 | 4 | 14 |
2015 January | 15 | 5 | 20 |
2014 December | 27 | 8 | 35 |
2014 November | 12 | 3 | 15 |
2014 October | 29 | 8 | 37 |
2014 September | 34 | 9 | 43 |
2014 August | 16 | 5 | 21 |
2014 July | 13 | 7 | 20 |
2014 June | 21 | 9 | 30 |
2014 May | 19 | 8 | 27 |
2014 April | 21 | 13 | 34 |
2014 March | 58 | 30 | 88 |
2014 February | 60 | 24 | 84 |
2014 January | 48 | 29 | 77 |
2013 December | 33 | 22 | 55 |