<p>Data are given as means ±SD. <b>p</b> values were calculating using log-transformed variables. <b>p<sub>1</sub></b> – non-adjusted model; <b>p<sub>2</sub></b> – adjusted model as follows: BMI and body fat were adjusted for age; glucose levels as well as insulin sensitivity (Matsuda estimation model; Homeostasis Model Assessment of Insulin Resistance: HOMA-IR) were adjusted for age and BMI; BMI – body mass index; OGTT – oral glucose tolerance test; SNP – single nucleotide polymorphism.</p
<p>All phenotypes were standardized prior to analyses. Two regression models were used: Model A incl...
<p>The results of linear regression analysis with adjustment for age, sex and BMI are presented.</p>...
Background: Activation of Toll-like-receptor 4 (TLR4) causes chronic inflammation that can result in...
<p>Data represent means ±SD. Prior to statistical analysis, glucose concentrations and insulin sensi...
<p>Data were adjusted for gender, age, and BMI. Diamonds represents means ± SE. HOMA-IR – homeostasi...
<p>Prior to statistical analysis, all parameters were adjusted for gender, age, and bioelectrical im...
<p>For statistical analysis, data were log-transformed. Plasma glucose levels and indices of insulin...
Abstract Background Mechanisms involved in metabolic syndrome (MetS) development include insulin res...
Background: Mechanisms involved in metabolic syndrome (MetS) development include insulin resistance,...
<p>HOMA-IR (A and C) and ISI OGTT (B and D) data were adjusted for gender, age, and bioelectrical im...
<p>Values are unadjusted means and standard deviations (SD) or regression coefficients (B) and 95% c...
<p>Subjects were stratified into lean (BMI<25kg/m<sup>2</sup>), overweight (25 kg/m<sup>2</sup>≤BMI<...
<p>Data represent means ±SD. For statistical analysis, data were ln-transformed and adjusted for gen...
<p>Data represent means ±SD. For statistical analysis, data were ln-transformed and adjusted for gen...
<p>Metabolic data are shown as unadjusted raw data (means ±SD). Associations between SNP genotypes (...
<p>All phenotypes were standardized prior to analyses. Two regression models were used: Model A incl...
<p>The results of linear regression analysis with adjustment for age, sex and BMI are presented.</p>...
Background: Activation of Toll-like-receptor 4 (TLR4) causes chronic inflammation that can result in...
<p>Data represent means ±SD. Prior to statistical analysis, glucose concentrations and insulin sensi...
<p>Data were adjusted for gender, age, and BMI. Diamonds represents means ± SE. HOMA-IR – homeostasi...
<p>Prior to statistical analysis, all parameters were adjusted for gender, age, and bioelectrical im...
<p>For statistical analysis, data were log-transformed. Plasma glucose levels and indices of insulin...
Abstract Background Mechanisms involved in metabolic syndrome (MetS) development include insulin res...
Background: Mechanisms involved in metabolic syndrome (MetS) development include insulin resistance,...
<p>HOMA-IR (A and C) and ISI OGTT (B and D) data were adjusted for gender, age, and bioelectrical im...
<p>Values are unadjusted means and standard deviations (SD) or regression coefficients (B) and 95% c...
<p>Subjects were stratified into lean (BMI<25kg/m<sup>2</sup>), overweight (25 kg/m<sup>2</sup>≤BMI<...
<p>Data represent means ±SD. For statistical analysis, data were ln-transformed and adjusted for gen...
<p>Data represent means ±SD. For statistical analysis, data were ln-transformed and adjusted for gen...
<p>Metabolic data are shown as unadjusted raw data (means ±SD). Associations between SNP genotypes (...
<p>All phenotypes were standardized prior to analyses. Two regression models were used: Model A incl...
<p>The results of linear regression analysis with adjustment for age, sex and BMI are presented.</p>...
Background: Activation of Toll-like-receptor 4 (TLR4) causes chronic inflammation that can result in...