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"documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "cita" => "Med Clin. 2016;146:287-91" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:13 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Glycemic changes during menstrual cycles in women with type 1 diabetes" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => array:2 [ 0 => "en" 1 => "es" ] "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "287" "paginaFinal" => "291" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Cambios glucémicos durante el ciclo menstrual en mujeres con diabetes mellitus tipo 1" ] ] "contieneResumen" => array:2 [ "en" => true "es" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0010" "etiqueta" => "Fig. 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1748 "Ancho" => 2161 "Tamanyo" => 166025 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Mean glucose mg/dl (A), mean % of glucose readings >140<span class="elsevierStyleHsp" style=""></span>mg/dl (7.8<span class="elsevierStyleHsp" style=""></span>mmol/L) (B) and mean insulin dose U/day (C) along the menstrual cycle for women with(▴) and without (○) cyclic changes. *Comparison between early follicular and early luteal and late luteal in women with cyclic changes in glycemia, <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Lucrecia Herranz, Lourdes Saez-de-Ibarra, Natalia Hillman, Ruth Gaspar, Luis Felipe Pallardo" "autores" => array:5 [ 0 => array:2 [ "nombre" => "Lucrecia" "apellidos" => "Herranz" ] 1 => array:2 [ "nombre" => "Lourdes" "apellidos" => "Saez-de-Ibarra" ] 2 => array:2 [ "nombre" => "Natalia" "apellidos" => "Hillman" ] 3 => array:2 [ "nombre" => "Ruth" "apellidos" => "Gaspar" ] 4 => array:2 [ "nombre" => "Luis Felipe" "apellidos" => "Pallardo" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0025775316000130" "doi" => "10.1016/j.medcli.2015.11.044" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0025775316000130?idApp=UINPBA00004N" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2387020616302546?idApp=UINPBA00004N" "url" => "/23870206/0000014600000007/v1_201607151011/S2387020616302546/v1_201607151011/en/main.assets" ] "en" => array:19 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Original article</span>" "titulo" => "Role of heat shock proteins in the cardioprotection of regular moderate alcohol consumption" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "292" "paginaFinal" => "300" ] ] "autores" => array:1 [ 0 => array:3 [ "autoresLista" => "Maria Concepción Guisasola" "autores" => array:1 [ 0 => array:3 [ "nombre" => "Maria Concepción" "apellidos" => "Guisasola" "email" => array:1 [ 0 => "mguisasola@hggm.es" ] ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Unidad de Medicina y Cirugía Experimental, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain" "identificador" => "aff0005" ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Proteínas de choque térmico en la cardioprotección del consumo moderado regular de alcohol" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">In recent years, numerous epidemiological studies have shown the beneficial effects of mild and moderate consumption of alcohol, while experimental studies proved that exposure to moderate doses of alcohol can initiate typical cytoprotective mechanisms.<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">1</span></a> A significant part of this work links regular moderate alcohol consumption with a lower incidence of morbidity and mortality in cardiovascular disease; conversely, excessive consumption correlates with a higher prevalence of coronary heart disease. The relationship between regular alcohol consumption and cardiovascular mortality draw a “U”- or “J”-shaped curve, such that teetotallers and heavy drinkers are at greater risk of cardiovascular disease than light or moderate drinkers.<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">2</span></a> While the most widespread hypothesis is that the cardioprotective effect occurs by the direct action of alcohol regardless of the type of alcoholic beverage consumed,<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">3</span></a> there are numerous studies indicating that consumption of alcoholic beverages rich in polyphenols, such as red wine, provides additional cardiovascular protection because of their specific antioxidants, anti-inflammatory and antithrombotic properties.<a class="elsevierStyleCrossRefs" href="#bib0205"><span class="elsevierStyleSup">4,5</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">The suggested mechanisms of the cardioprotective effects mentioned above have included, among others: increased HDL cholesterol and paraoxonase 1 antiatherogenic enzyme associated with HDL cholesterol that inhibits oxidation of low density lipoproteins (LDL)<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">6</span></a>; inhibition of platelet aggregation and decrease of concentrations of coagulation factors<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">7</span></a> and anti-inflammatory action.<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">8</span></a> In this regard, in recent years evidence has been growing regarding the protective effects of regular moderate drinking on the cardiovascular system and that it could be, at least in part, mediated by anti-inflammatory and antioxidants mechanisms<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">2,9</span></a>: in fact, a significant decrease of the C-reactive protein, Interleukin 6 (IL-6), IL-1α, tumour necrosis factor α, fibrinogen and leucocyte count in these patients has been evidenced.<a class="elsevierStyleCrossRefs" href="#bib0195"><span class="elsevierStyleSup">2,10</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Atherosclerosis is a chronic disease of an inflammatory and autoimmune nature, and heat shock proteins (HSP), specifically HSPA1A (Hsp70) and HSPD1 (Hsp60) have been associated with the antigens involved in the initiation of the immune response in atherosclerosis.<a class="elsevierStyleCrossRefs" href="#bib0240"><span class="elsevierStyleSup">11,12</span></a> Given the role of HSPs in the pathogenesis of atherosclerosis, the aim of this study was to determine the levels of extra- and intra-cellular HSPA1A, HSPD1 serum levels and anti-Hsp60 and anti-Hsp70 antibodies and their relation to alcohol consumption, in a general population stratified by the degree of vascular risk or the presence of an established atherosclerotic disease.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Materials and methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Population studied</span><p id="par0020" class="elsevierStylePara elsevierViewall">The description of the study population and its design had been previously conducted.<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">12</span></a> Basically it is an observational, cross-sectional, epidemiological study on the incidence of vascular risk factors (VRF). Inclusion criteria were volunteer subjects randomly selected, aged between 40 and 60 years-old, workers at the Hospital General Universitario Gregorio Marañón in Madrid (Spain), and signing an informed consent. The study was approved by the Research Committee and the Ethics Committee of the Clinical Research Centre. All participants underwent a medical history and answered an epidemiological questionnaire regarding age, personal and family medical history, smoking habits (non-smoker, ex-smoker or current smoker), regular intake of alcohol (if so, daily consumption in grams), treatments and presence of atherosclerotic disease. All interviews were conducted by the same researcher. Exclusion criteria were: pregnant or lactating women, having suffered some kind of systemic infection in the past 3 months, presenting current oncological disease or undergoing radio/chemotherapy treatment, suffering from autoimmune diseases, endocrine disorders (except diabetes), liver disease, congestive renal, haematologic disorder or congenital heart disease.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Alcohol consumption</span><p id="par0025" class="elsevierStylePara elsevierViewall">Each subject was asked about their average consumption habits of different types of alcoholic beverages, including wine, beer and liqueurs or spirits (gin, rum, whisky and others). Considering an alcohol content of 5% for beer, 12% for wine and 40% for spirits, alcohol consumption was calculated in grams per day (g/d) and the following categories were defined: (a) non-drinkers or occasional, not daily consumers of less than 20<span class="elsevierStyleHsp" style=""></span>g/d; (b) light, regular drinkers 20–40<span class="elsevierStyleHsp" style=""></span>g/d; (c) moderate regular drinkers 40–60<span class="elsevierStyleHsp" style=""></span>g/d and (d) excessive regular drinkers who consumed over 60<span class="elsevierStyleHsp" style=""></span>g/d.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Vascular risk assessment and classification of subjects</span><p id="par0030" class="elsevierStylePara elsevierViewall">The absolute risk of developing cardiovascular disease over a period of time generally set at 10 years is estimated based on the presence of previous coronary disease and the joint assessment of present VRF.<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">13</span></a> Calculating vascular risk in asymptomatic individuals is carried out based on the presence of risk factors. There are various tables available for this, one of the most widely used is the coronary risk Task Force banner.<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">14</span></a> The degree of participants’ cardiovascular risk was calculated by considering the presence or absence and severity of each of the conventional VRF, also considering gender, age, smoking habits, the presence of obesity, systolic blood pressure and total cholesterol and LDL cholesterol figures. After applying <span class="elsevierStyleItalic">Task Force</span>, participants in the study were classified into 3 groups according to their cardiovascular risk range: Group 0 (G0) or subjects without VRF or risk <span class="elsevierStyleMonospace"><</span>5%; Group 1 (G1), subjects with moderate vascular risk (10–20%) without clinical atherosclerotic and Group 2 (G2), subjects with clinically established cardiovascular disease.<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">15</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Laboratory analysis</span><p id="par0035" class="elsevierStylePara elsevierViewall">Venous blood samples were taken after a fasting period of 10–12<span class="elsevierStyleHsp" style=""></span>h, centrifuged and the resulting serum was frozen at −70<span class="elsevierStyleHsp" style=""></span>°C until use. Biochemical parameters were quantified by routine methods in an autoanalyser.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Quantification of intracellular HSPA1A</span><p id="par0040" class="elsevierStylePara elsevierViewall">This was performed on peripheral blood neutrophil polymorphonuclear leukocytes (PMN). Isolation of PMN was performed by gradient, centrifuging the blood at 450–500<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">g</span> for 30<span class="elsevierStyleHsp" style=""></span>min on Polymorphprep™ (Nycomed, Oslo, Norway). The PMN band was taken and deposited over 10<span class="elsevierStyleHsp" style=""></span>ml of a PBS phosphate buffered solution (17.11<span class="elsevierStyleHsp" style=""></span>mM NaCl, 0.335<span class="elsevierStyleHsp" style=""></span>mM KCl, 0.44<span class="elsevierStyleHsp" style=""></span>mM KH<span class="elsevierStyleInf">2</span>PO<span class="elsevierStyleInf">4</span>, 1.016<span class="elsevierStyleHsp" style=""></span>mM Na<span class="elsevierStyleInf">2</span>HPO<span class="elsevierStyleInf">4</span>), and centrifuged for 5<span class="elsevierStyleHsp" style=""></span>min at 450<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">g</span>. The precipitate of the PMNs was resuspended in 100<span class="elsevierStyleHsp" style=""></span>μl RIPA buffer supplemented with protease and phosphatase inhibitors: PMSF 1<span class="elsevierStyleHsp" style=""></span>mM, sodium orthovanadate 1<span class="elsevierStyleHsp" style=""></span>mM, leupeptin 10<span class="elsevierStyleHsp" style=""></span>μg/ml, aprotinin 10<span class="elsevierStyleHsp" style=""></span>μg/ml and pepstatin 10<span class="elsevierStyleHsp" style=""></span>μg/ml. Cell lysates were homogenised by 40 passes through the Kontes homogeniser and centrifuged at 12,000<span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">g</span> for 15<span class="elsevierStyleHsp" style=""></span>min at 4<span class="elsevierStyleHsp" style=""></span>°C. The supernatant was stored at −70<span class="elsevierStyleHsp" style=""></span>°C until further processing.</p><p id="par0045" class="elsevierStylePara elsevierViewall">The protein content of the soluble fraction was assessed by the microassay Lowry method using the kit to assess the Bio-Rad protein against a albumin curve pattern (0–10 curve<span class="elsevierStyleHsp" style=""></span>μg/ml) (serum albumin coil, Bio-Rad).</p><p id="par0050" class="elsevierStylePara elsevierViewall">HSPA1A intracellular concentration was quantified using the Hsp70 ELISA kit for cell lysates (EKS-700B, Assay-Designs-Stressgen, Ann Arbour, MI, USA) in identical aliquots of 20<span class="elsevierStyleHsp" style=""></span>μg of cell lysate protein. The results were expressed in ng HSPA1A/μg of total protein.</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Quantification of HSPA1A (Hsp70) and HSPD1 (Hsp60) serum</span><p id="par0055" class="elsevierStylePara elsevierViewall">HSPA1A (hsp70) and HSPD1 (Hsp60) were quantified in serum samples diluted at 1:5 using the Hsp70 and Hsp60 ELISA kit (EKS-715 and EKS-600, Assay-Designs-Stressgen) following the manufacturer's instructions. The EKS-715 test recognises the recombinant HSPA1A and native state in plasma and serum, and has no cross-reactivity with HSPA8 (constitutive Hsp70). The coefficients of intra- and inter-assay variation were<span class="elsevierStyleMonospace"><</span>10%. The linearity for Hsp70 was 0.34–6.25<span class="elsevierStyleHsp" style=""></span>ng/ml and sensitivity was 0.30<span class="elsevierStyleHsp" style=""></span>ng/ml.</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Quantification of anti-hsp70 and anti-Hsp60 antibodies circulating</span><p id="par0060" class="elsevierStylePara elsevierViewall">The concentrations of the anti-hsp70 and anti-Hsp60 antibodies were quantified in serum (diluted at 1:1000) using 2 ELISA commercial kits (EKS-750 and EKS-650, Assay-Designs-Stressgen), in microplates coated with human recombinant Hsp70 or Hsp60, capturing the anti-Hsp70 or anti-Hsp60 antibodies in the serum. The concentration of anti-Hsp antibodies was expressed in μg/ml. For anti-Hsp70, linearity was 31.25–1000<span class="elsevierStyleHsp" style=""></span>μg/ml and sensitivity was 6.79<span class="elsevierStyleHsp" style=""></span>μg/ml. For anti-Hsp60, linearity was 7.81–250<span class="elsevierStyleHsp" style=""></span>μg/ml and sensitivity was 2.88<span class="elsevierStyleHsp" style=""></span>μg/ml. The inter- and intra-assay accuracy was <span class="elsevierStyleMonospace"><</span>10%.</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Statistical analysis</span><p id="par0065" class="elsevierStylePara elsevierViewall">To examine the distribution of data the Kolmogorov–Smirnov test was applied. Data with a normal distribution were compared using the Student's <span class="elsevierStyleItalic">t</span>-test or one-way ANOVA with Bonferroni correction. The data that did not follow a normal distribution were analysed using non-parametric tests: Mann–Whitney or Kruskal–Wallis tests, depending on the number of variables. All probability values were derived from bilateral analysis and a <span class="elsevierStyleItalic">p</span> value of <span class="elsevierStyleMonospace"><</span>0.05 was considered statistically significant, while <span class="elsevierStyleItalic">p</span> values between 0.05 and 0.1 were considered indicative of trend. The statistical analysis was performed using SPSS<span class="elsevierStyleSup">®</span> 18.0 for Windows (IBM, Chicago, IL, USA).</p></span></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Results</span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Characteristics of the study population</span><p id="par0070" class="elsevierStylePara elsevierViewall">A total of 452 people were included, of whom 234 were women (51.8%) with a mean age of ±SD 49.95<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>6.89 years and 218 males (48.2%), with mean age of 48.86<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>7.27. A total of 238 participants (52.7%) reported being teetotallers or drinkers of less than 20<span class="elsevierStyleHsp" style=""></span>g/d of alcohol; 123 (27.2%) were drinkers of 20–40<span class="elsevierStyleHsp" style=""></span>g/d of alcohol, 66 (14.6%) consumed between 40 and 60<span class="elsevierStyleHsp" style=""></span>g/d of alcohol regularly and 25 (5.5%) were heavy drinkers, consuming over 60<span class="elsevierStyleHsp" style=""></span>g/d of alcohol. The distribution of alcohol consumed by sex is shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. After applying the coronary risk Task Force banner,<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">14</span></a> 239 subjects had no VRF or the risk was less than 5% (G0), 161 subjects had a moderate vascular risk (10–20%) and had no known declared cardiovascular disease (G1) and 52 subjects had clinically established atherosclerotic disease (G2).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">HSPA1A (Hsp70) intracellular</span><p id="par0075" class="elsevierStylePara elsevierViewall">The intracellular concentration of HSPA1A followed a normal distribution (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleMonospace">=</span><span class="elsevierStyleHsp" style=""></span>0.092). In the overall analysis of the population there is a progressive increase in the concentration of HSPA1A intragranulocitaria with the consumption of alcohol, which decreases significantly in drinkers over 60<span class="elsevierStyleHsp" style=""></span>g/d. The subjects who drank 40–60<span class="elsevierStyleHsp" style=""></span>g/d of alcohol had the highest numbers of intracellular HSPA1A, with statistical significance compared to consumers who drank more than 60<span class="elsevierStyleHsp" style=""></span>g/d (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.020 one-way ANOVA with a Bonferroni correction factor) and with a tendency to statistical significance in regards to the teetotalling population (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>). By analysing the concentration of intracellular HSPA1A in regard to gender, these differences were maintained in males, and no statistically significant differences were demonstrated in women (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0080" class="elsevierStylePara elsevierViewall">By segmenting the population according to the degree of vascular risk, this trend continued among subjects without VRF risk or <5% of 40–60<span class="elsevierStyleHsp" style=""></span>g/d consumers of alcohol, with higher concentrations of intracellular HSPA1A than non-drinkers or drinkers of more than 60<span class="elsevierStyleHsp" style=""></span>g/d (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>). Among patients with moderate vascular risk (10–20%), the increase did not reach statistical significance. Patients from the G2 group who drank 40–60<span class="elsevierStyleHsp" style=""></span>g/d had the significantly highest numbers of intracellular HSPA1A concentrations, compared to the decrease in those who drank more than 60<span class="elsevierStyleHsp" style=""></span>g/d (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.014 one-way ANOVA with a Bonferroni correction factor) and with a tendency to statistical significance in regards to the teetotalling population (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.062) (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>). This increase was found in men, given that the small sample size of female drinkers 40–60<span class="elsevierStyleHsp" style=""></span>g/d or more did not allow statistical analysis (<a class="elsevierStyleCrossRefs" href="#tbl0025">Tables 5 and 6</a>).</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><elsevierMultimedia ident="tbl0025"></elsevierMultimedia><elsevierMultimedia ident="tbl0030"></elsevierMultimedia></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">HSPA1A (Hsp70) and HSPD1 (Hsp60) serum</span><p id="par0085" class="elsevierStylePara elsevierViewall">HSPA1A serum levels were detected in 444 subjects (98.23% of cases) and did not follow a normal distribution. There were no observable significant differences in regard to the degree of regular alcohol consumption in the general population (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>), segmenting by gender (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>) or vascular risk (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>).</p><p id="par0090" class="elsevierStylePara elsevierViewall">By contrast, Hsp60 was only detectable in less than 5% of the study population, so no analysis could be carried out.</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Anti-Hsp70 antibodies</span><p id="par0095" class="elsevierStylePara elsevierViewall">Levels of circulating anti-Hsp70 were detected in all cases and concentrations did not follow a normal distribution. In the general population a decrease in the concentration of anti-Hsp70 was observed, which reached statistical significance. Patients with moderate vascular risk (10–20%) or atherosclerotic disease who consumed 40–60<span class="elsevierStyleHsp" style=""></span>g/d had significantly lower concentrations of anti-Hsp70 than the other vascular risk groups (<a class="elsevierStyleCrossRefs" href="#tbl0010">Tables 2 and 4</a>).</p></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Anti-Hsp60 antibodies</span><p id="par0100" class="elsevierStylePara elsevierViewall">The distribution of anti-Hsp60 serum concentrations did not follow a normal distribution and were significantly higher among heavy drinkers who consumed more than 60<span class="elsevierStyleHsp" style=""></span>g/d of alcohol than each of the other groups (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.028, Kruskal–Wallis) (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>). The increase in the general population was produced in the group consisting of patients with moderate cardiovascular risk (<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>). By segmenting by gender, the highest concentrations of anti-Hsp60 serum are statistically significant in males (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>) who have a vascular risk of 10–20% (<a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a>). In women, peak levels of circulating anti-Hsp60 antibodies were also observed among consumers of 40–60<span class="elsevierStyleHsp" style=""></span>g/d (<a class="elsevierStyleCrossRef" href="#tbl0030">Table 6</a>).</p></span></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Discussion</span><p id="par0105" class="elsevierStylePara elsevierViewall">Different studies have linked low levels of HSPA1A at both intracellular and extracellular levels with the development and onset of atherosclerosis.<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">16</span></a> The choice of PMN for the quantification of intracellular HSPA1A has already been discussed,<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">17</span></a> but it was basically decided because leucocytes are more abundant in the general circulation and because of their important role in the initiation and development of atherosclerosis; its causal function in atherosclerosis and involvement in plaque vulnerability being widely accepted.<a class="elsevierStyleCrossRefs" href="#bib0275"><span class="elsevierStyleSup">18,19</span></a></p><p id="par0110" class="elsevierStylePara elsevierViewall">This study was designed to assess whether the cardioprotective effect of regular moderate alcohol consumption may be due, in part, to an effect on intra- and/or extra-cellular HSPs. Given the different role that alcohol has on men and women,<a class="elsevierStyleCrossRefs" href="#bib0285"><span class="elsevierStyleSup">20,21</span></a> a separate analysis by gender was conducted.</p><p id="par0115" class="elsevierStylePara elsevierViewall">Male consumers of 40–60<span class="elsevierStyleHsp" style=""></span>g/d have a significantly higher concentration of intracellular HSPA1A than other consumption patterns. Intracellular HSPA1A is considered a cardioprotective protein due to its antioxidant and antiapoptotic properties as well as its inflammatory properties because of its inhibition of cytokine expression and proinflammatory transcription factors such as the nuclear factor (NF)-κβ.<a class="elsevierStyleCrossRefs" href="#bib0265"><span class="elsevierStyleSup">16,22</span></a> Regular consumption of alcohol also has anti-inflammatory effects by inhibiting the NF-κβ activation, especially if the consumption is red wine.<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">23</span></a> However, it has been shown that consumption of 450<span class="elsevierStyleHsp" style=""></span>ml of red wine for 4 weeks, coinciding with the suppression of the NF-κβ activity, also produces an increase in urinary excretion of F2-isoprostanes, oxidative products, and arachidonic acid, considered lipid peroxidation markers.<a class="elsevierStyleCrossRef" href="#bib0305"><span class="elsevierStyleSup">24</span></a> Oxidative stress induced by lipid peroxidation and certain degree of systemic subclinical inflammation<a class="elsevierStyleCrossRef" href="#bib0310"><span class="elsevierStyleSup">25</span></a> could induce an increase in synthesis of proteins induced by stress, and among those, HSPA1A, which could explain at least in part its cardioprotective effect, as has already been shown in animal model studies.<a class="elsevierStyleCrossRef" href="#bib0315"><span class="elsevierStyleSup">26</span></a> In patients with moderate vascular risk, this effect may be counterbalanced by the pro-atherogenic action of VRF, which would be under therapeutic control in patients with established atherosclerotic disease.</p><p id="par0120" class="elsevierStylePara elsevierViewall">Extracellular HSPA1A also has anti-inflammatory properties due to inhibition of the expression of cytokines and proinflammatory transcription factors,<a class="elsevierStyleCrossRefs" href="#bib0320"><span class="elsevierStyleSup">27,28</span></a> and high levels of circulating HSPA1A relate to a lower risk of ischaemic heart disease.<a class="elsevierStyleCrossRef" href="#bib0330"><span class="elsevierStyleSup">29</span></a> No significant differences in HSPA1A serum have been shown in this study in regard to a pattern of alcohol consumption by sex or degree of vascular risk, which contrasts with the behaviour of intracellular HSPA1A. This disparity could be explained by the different roles that intra- and extra-cellular HSPA1A have in the pathogenesis and evolution of atherosclerosis,<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">16</span></a> or by differences in the signals that mediate their increase in response to a given stressor.<a class="elsevierStyleCrossRef" href="#bib0335"><span class="elsevierStyleSup">30</span></a></p><p id="par0125" class="elsevierStylePara elsevierViewall">In our hands, and as published by other authors,<a class="elsevierStyleCrossRef" href="#bib0340"><span class="elsevierStyleSup">31</span></a> Hsp60 serum levels were undetectable in most cases, so that despite the role that pathogenesis has been described as playing in the onset and evolution of atherosclerosis,<a class="elsevierStyleCrossRef" href="#bib0345"><span class="elsevierStyleSup">32</span></a> this discussion has not been possible.</p><p id="par0130" class="elsevierStylePara elsevierViewall">HSPA1A is a protein with potent immunological properties, which has been demonstrated to have a strong binding to B cells responsible for producing circulating antibodies.<a class="elsevierStyleCrossRef" href="#bib0350"><span class="elsevierStyleSup">33</span></a> Several studies have shown that this immune response attenuates the inflammatory response,<a class="elsevierStyleCrossRef" href="#bib0355"><span class="elsevierStyleSup">34</span></a> and it has been specifically shown that patients with stable and unstable angina have lower levels of anti-Hsp70 antibodies than the healthy population, and that macrovascular complications in patients with type 1 diabetes is positively inversely correlated with concentrations of anti-Hsp70 and anti-Hsp60 antibodies.<a class="elsevierStyleCrossRef" href="#bib0360"><span class="elsevierStyleSup">35</span></a> In this study, regular consumption of 40–60<span class="elsevierStyleHsp" style=""></span>g/d of alcohol by men with moderate or atherosclerotic vascular disease risk was associated with significantly lower levels, so it can be summarised that the regular cardioprotective effect of moderate and regular consumption of alcohol should not be mediated by the immune response to HSPA1A.</p><p id="par0135" class="elsevierStylePara elsevierViewall">Male patients drinking over 60<span class="elsevierStyleHsp" style=""></span>g/d and women consumers of 40–60<span class="elsevierStyleHsp" style=""></span>g/d had the highest numbers of anti-Hsp60 antibodiescompared to other alcohol consumption groups. A few years ago, it was suggested that atherosclerosis was an autoimmune disease caused by an immune reaction against Hsp60, and since then population studies have proliferated demonstrating a strong correlation between high levels of anti-Hsp60 antibodies and atherosclerosis because of induction of proinflammatory cytokines.<a class="elsevierStyleCrossRef" href="#bib0365"><span class="elsevierStyleSup">36</span></a> The finding of high levels of anti-Hsp60 antibodies in patients with moderate vascular risk and drinkers of over 60<span class="elsevierStyleHsp" style=""></span>g/d of alcohol in men and 40–60<span class="elsevierStyleHsp" style=""></span>g/d in women confirm the “U” shaped curve of the relationship between excessive alcohol consumption and the increased prevalence of coronary heart disease, representing an additional risk to those already present in this group of patients of the onset of atherosclerotic disease, as well as thelower amounts of alcohol needed in women to increase the cardiovascular risk that excessive alcohol consumption produces in them compared to males.<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">21</span></a></p><p id="par0140" class="elsevierStylePara elsevierViewall">The study should be interpreted in the context of its limitations. First, it is a cross-sectional design, with the limitations this type of study has, such as the inability to prove the existence of a causal relationship. Second, control subjects were chosen who were not ill or had a <5% risk and those who had a moderate vascular risk (10–20%) at 10 years, without being able to rule out the possibility that some of them presented sub-clinical atherosclerosis since no carotid ultrasounds were conducted to measure the thickness of the intima-media nor was coronary angiography carried out to discard possible silent myocardial infarction. This study is a small sample size, however despite each subgroup being a reduced number, it is able to achieve significant results except in the analysis performed with the subgroups of women. Women drink smaller amounts of alcohol and the number of them who consume large quantities is also much lower, which has meant that the figure for this group was not enough for statistical analysis or had lacked sufficient statistical power.</p><p id="par0145" class="elsevierStylePara elsevierViewall">It can be argued that the intake of 40–60<span class="elsevierStyleHsp" style=""></span>g/d of alcohol is somewhat excessive of recommended standards, but perhaps in this context, the cardioprotective effect observed with the consumption of larger quantities of alcohol is due to the majority intake of red wine rather than liqueurs and spirits, and the cumulative effect of bioflavonoids it contains.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">4</span></a> A meta-analysis conducted by Di Castelnuovo et al. of 34 prospective studies evidenced that the association with lower mortality from any cause and regular alcohol consumption is maintained until a consumption level of 42<span class="elsevierStyleHsp" style=""></span>g/d.<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">21</span></a></p><p id="par0150" class="elsevierStylePara elsevierViewall">In conclusion, the cardioprotective effect of regular consumption of 40–60<span class="elsevierStyleHsp" style=""></span>g/d of alcohol may be due, at least in part, to an increase in concentration of intracellular HSPA1A of potent anti-inflammatory and antioxidant properties; this effect is counteracted somehow in subjects with traditional VRF perhaps because of the atherogenic effect of those VRF having a lower concentration of anti-Hsp70 antibodies. Excessive consumption is associated in men and women at a greater concentration of anti-Hsp60 antibodies, potent stimulating pro-inflammatory cytokines, which could influence the relationship between immoderate alcohol consumption and mortality from cardiovascular disease. The clinical application of monitoring anti-HSP antibodies in patients at risk to detect atherosclerotic disease has been suggested.<a class="elsevierStyleCrossRef" href="#bib0370"><span class="elsevierStyleSup">37</span></a></p><p id="par0155" class="elsevierStylePara elsevierViewall">This is a cross-sectional study; larger prospective studies are needed to confirm the relationship between the cardioprotective effect of moderate alcohol consumption and increased intracellular HSPA1A, also in women, and if possible, to clarify the possible causal link between alcohol and induction of the HSP system.</p></span><span id="sec0090" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Financing</span><p id="par0160" class="elsevierStylePara elsevierViewall">This study was funded by <span class="elsevierStyleGrantSponsor" id="gs1">FIS</span><span class="elsevierStyleGrantNumber" refid="gs1">03/1308</span> aid and aid from the <span class="elsevierStyleGrantSponsor" id="gs2">Mutua Madrileña Foundation</span>.</p></span><span id="sec0095" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0155">Conflict of interest</span><p id="par0165" class="elsevierStylePara elsevierViewall">The author declares no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:3 [ "identificador" => "xres690115" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objectives" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec696160" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres690114" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Fundamento y objetivos" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec696159" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:3 [ "identificador" => "sec0010" "titulo" => "Materials and methods" "secciones" => array:8 [ 0 => array:2 [ "identificador" => "sec0015" "titulo" => "Population studied" ] 1 => array:2 [ "identificador" => "sec0020" "titulo" => "Alcohol consumption" ] 2 => array:2 [ "identificador" => "sec0025" "titulo" => "Vascular risk assessment and classification of subjects" ] 3 => array:2 [ "identificador" => "sec0030" "titulo" => "Laboratory analysis" ] 4 => array:2 [ "identificador" => "sec0035" "titulo" => "Quantification of intracellular HSPA1A" ] 5 => array:2 [ "identificador" => "sec0040" "titulo" => "Quantification of HSPA1A (Hsp70) and HSPD1 (Hsp60) serum" ] 6 => array:2 [ "identificador" => "sec0045" "titulo" => "Quantification of anti-hsp70 and anti-Hsp60 antibodies circulating" ] 7 => array:2 [ "identificador" => "sec0050" "titulo" => "Statistical analysis" ] ] ] 6 => array:3 [ "identificador" => "sec0055" "titulo" => "Results" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "sec0060" "titulo" => "Characteristics of the study population" ] 1 => array:2 [ "identificador" => "sec0065" "titulo" => "HSPA1A (Hsp70) intracellular" ] 2 => array:2 [ "identificador" => "sec0070" "titulo" => "HSPA1A (Hsp70) and HSPD1 (Hsp60) serum" ] 3 => array:2 [ "identificador" => "sec0075" "titulo" => "Anti-Hsp70 antibodies" ] 4 => array:2 [ "identificador" => "sec0080" "titulo" => "Anti-Hsp60 antibodies" ] ] ] 7 => array:2 [ "identificador" => "sec0085" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0090" "titulo" => "Financing" ] 9 => array:2 [ "identificador" => "sec0095" "titulo" => "Conflict of interest" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2015-08-31" "fechaAceptado" => "2015-12-17" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec696160" "palabras" => array:4 [ 0 => "Alcohol" 1 => "Heat shock proteins" 2 => "Atherosclerosis" 3 => "Risk factors" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec696159" "palabras" => array:4 [ 0 => "Alcohol" 1 => "Proteínas de choque térmico" 2 => "Ateroesclerosis" 3 => "Factores de riesgo" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background and objectives</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To study whether the cardioprotective effect of regular alcohol consumption can be explained by the heat shock proteins (HSP), given their pathogenic role in atherosclerosis.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Material and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Cross-sectional epidemiological study on 452 men and women aged 40–60. Clinical history, epidemiological survey (frequency of average alcohol consumption) and biochemical analysis was performed; Task Force Chart was applied for classification according to the risk of vascular disease. Intracellular HSPA1A, circulating HSPA1A and HSPD1, and anti-Hsp70/anti-Hsp60 antibodies were quantified by ELISA.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Two hundred and thirty-eight (52.7%) were abstemious or drank <20<span class="elsevierStyleHsp" style=""></span>g/d of alcohol; 123 (27.2%) drank 20–40<span class="elsevierStyleHsp" style=""></span>g/d, 66 (14.6%) 40–60<span class="elsevierStyleHsp" style=""></span>g/d and 25 >60<span class="elsevierStyleHsp" style=""></span>g/d (5.5%). Two hundred and thirty-nine had no vascular risk (VR) factor or a risk <5%, 161 had moderate VR (10–20%) and 52 had established atherosclerotic disease. Drinkers of 40–60<span class="elsevierStyleHsp" style=""></span>g/d showed the highest concentrations of intracellular HSPA1A, which were not significant in subjects with moderate VR. Extracellular HSPA1A did not differ and HSPD1 was undetectable. Drinkers of 40–60<span class="elsevierStyleHsp" style=""></span>g/d and moderate VR or atherosclerotic disease presented the lowest concentrations of anti-Hsp70. The highest levels of serum anti-Hsp60 were shown in heavy male drinkers of >60<span class="elsevierStyleHsp" style=""></span>g/d especially in subjects with moderate VR, and female drinkers of 40–60<span class="elsevierStyleHsp" style=""></span>g/d.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The cardioprotective effect of 40–60<span class="elsevierStyleHsp" style=""></span>g/d of alcohol consumption could be due in part, to increased intracellular HSPA1A, a potent anti-inflammatory protein. Excessive intake of alcohol increases antibodies anti-Hsp60, stimulating proinflammatory cytokines. This fact may explain the mortality from cardiovascular disease in heavy drinkers. The clinical application of antibody anti-Hsps quantification has been proposed in patients at risk in order to detect atherosclerotic disease.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objectives" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Material and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Fundamento y objetivos</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Estudiar si el efecto cardioprotector del consumo regular de alcohol puede explicarse a través de las <span class="elsevierStyleItalic">heat shock proteins</span> (HSP, «proteínas de choque térmico»), dado su papel etiopatogénico en la ateroesclerosis.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Material y métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudio epidemiológico trasversal en 452 sujetos de 40-60 años de ambos sexos. Se realizó la historia clínica incluyendo frecuencia del consumo medio de alcohol y análisis bioquímicos, y se estatificó el grado de riesgo coronario según la <span class="elsevierStyleItalic">Task Force</span>. Se cuantificaron HSPA1A intracelular, HSPA1A y HSPD1 séricas y anti-Hsp70 y anti-Hsp60 por ELISA.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Doscientos treinta y ocho (52,7%) sujetos eran abstemios o bebedores de<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>20<span class="elsevierStyleHsp" style=""></span>g/d de alcohol; 123 (27,2%) bebían 20-40<span class="elsevierStyleHsp" style=""></span>g/d, 66 (14,6%) 40-60<span class="elsevierStyleHsp" style=""></span>g/d y 25<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>60<span class="elsevierStyleHsp" style=""></span>g/d (5,5%). Doscientos treinta y nueve carecían de factores de riesgo vascular (RV) o tenían un RV<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>5%; 161 tenían RV moderado (10-20%) y 52 presentaban enfermedad ateroesclerótica instaurada. Los bebedores de 40-60<span class="elsevierStyleHsp" style=""></span>g/d presentaron máximas concentraciones de HSPA1A intracelular, no significativas en RV moderado. HSPA1A sérica no presentó diferencias y HSPD1 fue indetectable. Los bebedores de 40-60<span class="elsevierStyleHsp" style=""></span>g/d y RV moderado o enfermedad ateroesclerótica presentaron las menores concentraciones de anti-Hsp70. Los anti-Hsp60 fueron máximos en varones bebedores de<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>60<span class="elsevierStyleHsp" style=""></span>g/d y en mujeres bebedoras de 40-60<span class="elsevierStyleHsp" style=""></span>g/d, especialmente en RV moderado.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">El efecto cardioprotector del consumo de 40-60<span class="elsevierStyleHsp" style=""></span>g/d de alcohol podría deberse, al menos en parte, al incremento de HSPA1A intracelular, potente proteína antiinflamatoria. El consumo excesivo regular de alcohol se asocia a un aumento de anticuerpos anti-Hsp60, estimulantes de citocinas proinflamatorias; ello podría explicar la mortalidad por enfermedad cardiovascular en estos pacientes. Se ha propuesto la aplicación clínica del seguimiento de anticuerpos anti-Hsp en pacientes en riesgo para detectar enfermedad ateroesclerótica.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Fundamento y objetivos" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Material y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0125">Please cite this article as: Guisasola MC. Proteínas de choque térmico en la cardioprotección del consumo moderado regular de alcohol. Med Clin (Barc). 2016;146:292–300.</p>" ] ] "multimedia" => array:6 [ 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" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">SD: standard deviation.</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"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><20<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">20–40<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">40–60<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">>60<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Total</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>No. \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">238 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">123 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">66 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age in years, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.08 (7.50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">48.98 (6.12) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.79 (6.74) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.32 (8.04) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Male</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>n \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">57 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">82 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">58 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age in years, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">47.84 (8.65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.26 (6.25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.17 (6.59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.24 (8.74) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleItalic">Female</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>n \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">181 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age in years, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.46 (7.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">48.44 (5.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">54.25 (6.52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.75 (2.87) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1122948.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Demographics of the population studied according to their regular alcohol consumption levels.</p>" ] ] 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:3 [ "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">SD: standard deviation; NS: not significant; IQR, interquartile range.</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"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><20<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">20–40<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">40–60<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">>60<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age in years, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.08 (7.50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">48.98 (6.16) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.79 (6.74) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.32 (8.04) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Intracellular HSPA1A (ng/μg protein), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.09 (20.40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">42.93 (25.18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">45.94 (22.04) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30.73 (17.59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.017 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.020<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a><br>0.080<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">d</span></a> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">HSPA1A serum (ng/ml), median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.24 (0.0–6.76) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.16 (0.26–4.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.25 (0.33–3.65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.04 (0.23–7.54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Anti-Hsp70 (μg/ml), median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">349.05 (63.00–2796.81) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">343.05 (48.5–1632.41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">290.18 (109.00–1529.44) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">402.43 (70.98–2002.87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Anti-Hsp60 (μg/ml), median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">40.52 (10.01–308.55) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38.70 (11.48–346.50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36.20 (13.50–294.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">81.68 (21.42–224.17) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.028 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.005<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">c</span></a><br>0.001<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">d</span></a><br>0.005<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">e</span></a> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1122951.png" ] ] ] "notaPie" => array:5 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">One-way ANOVA test for normally distributed variables and Kruskal–Wallis test for variables that do not follow a normal distribution.</p>" ] 1 => array:3 [ "identificador" => "tblfn0010" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Bonferroni correction and Mann–Whitney test.</p>" ] 2 => array:3 [ "identificador" => "tblfn0015" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="npar0015">Consumption >60 compared with 40–60<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] 3 => array:3 [ "identificador" => "tblfn0020" "etiqueta" => "d" "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Consumption >60 compared with 20–40<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] 4 => array:3 [ "identificador" => "tblfn0025" "etiqueta" => "e" "nota" => "<p class="elsevierStyleNotepara" id="npar0025">Consumption >60 compared with <20<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Concentration of heat shock proteins and heat shock non-protein antibodies in the general population according to regular alcohol consumption.</p>" ] ] 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:3 [ "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">SD: standard deviation; NS: not significant; IQR, interquartile range.</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"><th class="td-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Sex \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><20<span class="elsevierStyleHsp" style=""></span>g/d</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">20–40<span class="elsevierStyleHsp" style=""></span>g/d</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">40–60<span class="elsevierStyleHsp" style=""></span>g/d</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">>60<span class="elsevierStyleHsp" style=""></span>g/d</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">a</span></a></th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0035"><span class="elsevierStyleSup">b</span></a></th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Male<br>n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>57 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Female<br>n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>181 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Male<br>n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>82 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Female<br>n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>41 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Male<br>n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>58 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Female<br>n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>8 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Male<br>n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>21 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Female<br>n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4 \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Male \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Female \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Male \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Female \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Age in years, mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">47.84 (8.65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">49.46 (7.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">49.24 (6.25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">48.44 (5.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">47.84 (8.65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">54.25 (6.52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">49.24 (8.94) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">47.84 (8.65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Intracellular HSPA1A (ng/μg protein), mean (SD) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">39.03 (21.80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">40.10 (20.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">44.37 (26.80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">39.29 (21.48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">46.62 (19.89) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">41.03 (35.47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">32.65 (31.18) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">20.63 (10.05) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.047 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.009<a class="elsevierStyleCrossRef" href="#tblfn0040"><span class="elsevierStyleSup">c</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">HSPA1A serum (ng/ml), median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.34 (1.01–2.01) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.23 (0.91–1.67) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.19 (0.91–1.90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.15 (0.92–1.50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.29 (0.97–1.69) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.16 (0.87–1.42) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.06 (0.89–1.45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.61 (0.25–1.04) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Anti-Hsp70 (μg/ml), median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">340.55 (229.51–436.28) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">347.95 (236.78–492.75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">347.81 (231.13–564.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">331.53 (237.52–463.86) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">264.00 (189.01–445.29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">395.87 (196.29–640.79) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">311.84 (232.10–511.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">618.11 (417.42–1281.43) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Anti-Hsp60 (μg/ml), median (IQR) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">40.38 (25.38–84.53) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">40.70 (25.26–66.74) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">38.85 (23.54–56.61) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">38.70 (27.86–69.47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">33.94 (24.35–54.97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">73.83 (33.44–105.75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">84.33 (33.21–132.79) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">52.82 (39.42–80.99) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.022 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0.004<a class="elsevierStyleCrossRef" href="#tblfn0040"><span class="elsevierStyleSup">c</span></a><br>0.001<a class="elsevierStyleCrossRef" href="#tblfn0045"><span class="elsevierStyleSup">d</span></a><br>0.025<a class="elsevierStyleCrossRef" href="#tblfn0050"><span class="elsevierStyleSup">e</span></a> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1122950.png" ] ] ] "notaPie" => array:5 [ 0 => array:3 [ "identificador" => "tblfn0030" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0030">One-way ANOVA test for normally distributed variables and Kruskal–Wallis test for variables that do not follow a normal distribution.</p>" ] 1 => array:3 [ "identificador" => "tblfn0035" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0035">Bonferroni correction and Mann–Whitney test.</p>" ] 2 => array:3 [ "identificador" => "tblfn0040" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="npar0040">Consumption >60 compared with 40–60<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] 3 => array:3 [ "identificador" => "tblfn0045" "etiqueta" => "d" "nota" => "<p class="elsevierStyleNotepara" id="npar0045">Consumption >60 compared with 20–40<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] 4 => array:3 [ "identificador" => "tblfn0050" "etiqueta" => "e" "nota" => "<p class="elsevierStyleNotepara" id="npar0050">Consumption >60 compared with <20<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Concentration of heat shock proteins and heat shock non-protein antibodies in the general population segmented by sex according to regular alcohol consumption.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at4" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall">SD: standard deviation; G0: without vascular risk or <span class="elsevierStyleMonospace"><</span>5% risk; G1: moderate vascular risk (10–20%); G2: established atherosclerotic disease; NS: not significant; IQR, interquartile range.</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"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Vascular risk group \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><20<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">20–40<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">40–60<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">>60<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0055"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0060"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">Intracellular HSPA1A (ng/μg protein), mean (SD)</td><td class="td" title="table-entry " align="left" valign="top">G0 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>239) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.96 (19.88) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38.31 (23.86) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">46.60 (22.87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29.60 (22.74) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.026 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0065"><span class="elsevierStyleSup">c</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.078<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0070"><span class="elsevierStyleSup">d</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.063 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>161) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36.64 (18.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.23 (28.49) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">42.37 (20.11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31.41 (15.02) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37.71 (17.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41.58 (13.85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">56.07 (24.85) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22.38 (12.47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.013 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0065"><span class="elsevierStyleSup">c</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.014<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0070"><span class="elsevierStyleSup">d</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.062 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">HSPA1A serum (ng/ml), median (IQR)</td><td class="td" title="table-entry " align="left" valign="top">G0 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>239) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.26 (0.19–4.22) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.15 (0.31–3.63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.45 (0.33–29.55) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.10 (0.23–1.46) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>161) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.22 (0.00–6.76) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.36 (0.52–4.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.25 (0.57–3.65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.06 (0.66–7.54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.12 (0.05–3.80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.08 (0.52–0.72) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.09 (0.36–1.83) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.90 (0.36–0.60) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">Anti-Hsp70 (μg/ml), median (IQR)</td><td class="td" title="table-entry " align="left" valign="top">G0 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>239) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">352.06 (63.00–2796.81) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">370.07 (89.10–1339.63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">339.13 (133.00–1529.44) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">291.71 (164.00–775.37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>161) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">316.68 (66.99–1330.97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">307.33 (94.00–1632.41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">245.72 (109.00–671.30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">411.39 (70.98–2002.87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.005 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0065"><span class="elsevierStyleSup">c</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.005<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">e</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.013<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0080"><span class="elsevierStyleSup">f</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.008 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">360.98 (73.70–1,180.60) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">290.37 (48.50–850.53) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">167.50 (114.00–343.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">431.90 (267.91–668.28) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0065"><span class="elsevierStyleSup">c</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.016<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0070"><span class="elsevierStyleSup">d</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.017 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">Anti-Hsp60 (μg/ml), median (IQR)</td><td class="td" title="table-entry " align="left" valign="top">G0 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>239) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">42.94 (10.01–308.55) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38.63 (13.70–346.50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36.10 (13.50–294.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">79.22 (32.82–202.52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>161) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">34.45 (11.15–211.71) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37.41 (11.48–158.84) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37.44 (18.80–244.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">87.74 (21.42–224.17) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.002 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0065"><span class="elsevierStyleSup">c</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.004<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0075"><span class="elsevierStyleSup">e</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0080"><span class="elsevierStyleSup">f</span></a><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>52) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.31 (13.70–191.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">44.70 (20.20–339.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30.35 (20.02–88.40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41.24 (23.67–46.48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1122952.png" ] ] ] "notaPie" => array:6 [ 0 => array:3 [ "identificador" => "tblfn0055" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0055">One-way ANOVA test for normally distributed variables and Kruskal–Wallis test for variables that do not follow a normal distribution.</p>" ] 1 => array:3 [ "identificador" => "tblfn0060" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0060">Bonferroni correction and Mann–Whitney test.</p>" ] 2 => array:3 [ "identificador" => "tblfn0065" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="npar0065">Consumption >60 compared with 40–60<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] 3 => array:3 [ "identificador" => "tblfn0070" "etiqueta" => "d" "nota" => "<p class="elsevierStyleNotepara" id="npar0070">Consumption 40–60 compared with <20<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] 4 => array:3 [ "identificador" => "tblfn0075" "etiqueta" => "e" "nota" => "<p class="elsevierStyleNotepara" id="npar0075">Consumption >60 compared with 20–40<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] 5 => array:3 [ "identificador" => "tblfn0080" "etiqueta" => "f" "nota" => "<p class="elsevierStyleNotepara" id="npar0080">Consumption >60 compared with <20<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Concentration of heat shock proteins and heat shock non-protein antibodies in the general population according to the degree of vascular risk and daily alcohol consumption.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0025" "etiqueta" => "Table 5" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at5" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">SD: standard deviation; G0: without vascular risk or <span class="elsevierStyleMonospace"><</span>5% risk; G1: moderate vascular risk (10–20%); G2: established atherosclerotic disease; NS: not significant; IQR, interquartile range.</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"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Vascular risk group \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><20<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">20–40<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">40–60<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">>60<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0085"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0090"><span class="elsevierStyleSup">b</span></a> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">Intracellular HSPA1A (ng/μg protein), mean (SD)</td><td class="td" title="table-entry " align="left" valign="top">G0 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">40.63 (21.75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38.63 (24.30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50.18 (21.23) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">33.36 (23.26) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.085 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38.85 (22.41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">51.41 (30.93) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41.15 (16.21) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">34.27 (17.15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.081 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0095"><span class="elsevierStyleSup">c</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.035<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0100"><span class="elsevierStyleSup">d</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.85 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.70 (21.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">40.17 (13.32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">52.95 (24.53) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19.55 (16.44) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.023 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">HSPA1A serum (ng/ml), median (IQR)</td><td class="td" title="table-entry " align="left" valign="top">G0 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.34 (1.01–2.01) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.19 (0.90–1.90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.29 (0.97–1.69) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.06 (0.89–1.45) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0095"><span class="elsevierStyleSup">c</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.057 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>96) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.11 (0.55–4.06) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.18 (0.52–4.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.26 (0.57–3.65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.05 (0.66–7.54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.15 (0.00–3.90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.01 (0.26–2.73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.13 (0.94–1.83) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.32 (0.89–1.76) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">Anti-Hsp70 (μg/ml), median (IQR)</td><td class="td" title="table-entry " align="left" valign="top">G0 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">340.55 (229.51–436.28) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">347.81 (213.13–564.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">264.00 (189.01–445.29) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">311.84 (232.10–511.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>96 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">310.69 (112.38–1330.59) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">274.48 (94.00–1632.41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">241.75 (134.78–586.47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">406.04 (70.98–2002.87) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0095"><span class="elsevierStyleSup">c</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.005<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0105"><span class="elsevierStyleSup">e</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.013<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0110"><span class="elsevierStyleSup">f</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.008 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">284.32 (103.00–600.11) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">336.00 (48.50–850.53) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">185.01 (114.0–343.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">468.09 (267.91–668.28) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0095"><span class="elsevierStyleSup">c</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.016<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0100"><span class="elsevierStyleSup">d</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.017 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">Anti-Hsp60 (μg/ml), median (IQR)</td><td class="td" title="table-entry " align="left" valign="top">G0 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>90) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">40.38 (25.38–84.53) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38.85 (23.54–56.61) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">33.94 (24.35–54.97) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">84.33 (33.21–132.79) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0105"><span class="elsevierStyleSup">e</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.057 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>96 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30.02 (12.02–151.15) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37.89 (14.66–158.84) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37.31 (18.80–244.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">90.96 (21.42–224.17) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.006 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0095"><span class="elsevierStyleSup">c</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.002<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0105"><span class="elsevierStyleSup">e</span></a><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001<br><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0110"><span class="elsevierStyleSup">f</span></a><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.004 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>32) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">51.90 (31.92–191.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">52.66 (20.20–339.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30.20 (20.02–88.40) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">35.07 (23.67–46.48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1122949.png" ] ] ] "notaPie" => array:6 [ 0 => array:3 [ "identificador" => "tblfn0085" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0085">One-way ANOVA test for normally distributed variables and Kruskal–Wallis test for variables that do not follow a normal distribution.</p>" ] 1 => array:3 [ "identificador" => "tblfn0090" "etiqueta" => "b" "nota" => "<p class="elsevierStyleNotepara" id="npar0090">Bonferroni correction and Mann–Whitney test.</p>" ] 2 => array:3 [ "identificador" => "tblfn0095" "etiqueta" => "c" "nota" => "<p class="elsevierStyleNotepara" id="npar0095">Consumption >60 compared with 40–60<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] 3 => array:3 [ "identificador" => "tblfn0100" "etiqueta" => "d" "nota" => "<p class="elsevierStyleNotepara" id="npar0100">Consumption 40–60 compared with <20<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] 4 => array:3 [ "identificador" => "tblfn0105" "etiqueta" => "e" "nota" => "<p class="elsevierStyleNotepara" id="npar0105">Consumption >60 compared with 20–40<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] 5 => array:3 [ "identificador" => "tblfn0110" "etiqueta" => "f" "nota" => "<p class="elsevierStyleNotepara" id="npar0110">Consumption >60 compared with <20<span class="elsevierStyleHsp" style=""></span>g/d.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Concentration of heat shock proteins and heat shock non-protein antibodies in the general population according to the degree of vascular risk and daily alcohol consumption in men.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0030" "etiqueta" => "Table 6" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at6" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:3 [ "leyenda" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">SD: standard deviation; G0: without vascular risk or <span class="elsevierStyleMonospace"><</span>5% risk; G1: moderate vascular risk (10–20%); G2: established atherosclerotic disease; NS: not significant; IQR, interquartile range.</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"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Vascular risk group \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><20<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">20–40<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">40–60<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">>60<span class="elsevierStyleHsp" style=""></span>g/d \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">p</span><a class="elsevierStyleCrossRef" href="#tblfn0115"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">Intracellular HSPA1A (ng/μg protein), mean (SD)</td><td class="td" title="table-entry " align="left" valign="top">G0 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>149) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.82 (19.54) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">116 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37.97 (23.80) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15.54 (8.82) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41.56 (22.78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41.17 (15.19) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50.04 (39.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36.38 (14.07) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25.22 (12.81) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">HSPA1A serum (ng/ml), median (IQR)</td><td class="td" title="table-entry " align="left" valign="top">G0 (N<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>149) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.24 (0.19–4.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">116 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.13 (0.39–3.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.45 (1.08–2.77) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.086 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.28 (0.0–6.76) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.38 (0.61–3.42) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.16 (0.81–1.35) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.90 (0.5–3.48) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.32 (0.31–0.92) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">Anti-Hsp70 (μg/ml), median (IQR)</td><td class="td" title="table-entry " align="left" valign="top">G0 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>149) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">347.95 (63.27–96.81) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">116 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">347.95 (97.74–1131.56) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">390.20 (383.16–697.38) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">345.69 (66.99–745.09) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">343.81 (118.00–599.41) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">474.14 (109.00–671.30) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">386.81 (73.70–1180.60) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">431.90 (402.94–460.86) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="3" align="left" valign="top">Anti-Hsp60 (μg/ml), median (IQR)</td><td class="td" title="table-entry " align="left" valign="top">G0 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>149) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">43.38 (10.01–294.47) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">116 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">42.36 (17.93–346.50) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">107.54 (42.28–125.20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G1 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>65) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36.32 (11.15–211.71) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32.87 (11.48–155.57) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75.83 (28.21–100.37) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">NS \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">G2 (No.<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>20) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36.50 (13.70–112.00) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41.20 (37.60–44.89) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1122953.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0115" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0115">One-way ANOVA test for normally distributed variables and Mann–Whitney test for variables that do not follow a normal distribution.</p> <p class="elsevierStyleNotepara" id="npar0120">Only consumption of <span class="elsevierStyleMonospace"><</span>20 compared to 20–40<span class="elsevierStyleHsp" style=""></span>g/d was analysed because of sample size.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Concentration of heat shock proteins and heat shock non-protein antibodies in the general population according to the degree of vascular risk and daily alcohol consumption in women.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:37 [ 0 => array:3 [ "identificador" => "bib0190" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Alcohol in moderation, cardioprotection, and neuroprotection: epidemiological considerations and mechanistic studies" "autores" => array:1 [ 0 => array:2 [ "etal" => true "autores" => array:6 [ 0 => "M.A. Collins" 1 => "E.J. 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