Bendlová B, Vaňková M, Hill M, Vacínová G, Lukášová P, VejraŽková D, Šedová L, Šeda O, Včelák J
Department of Molecular Endocrinology, Institute of Endocrinology, Prague, Czech Republic.
Physiol Res. 2017 Sep 26;66(Suppl 3):S425-S431. doi: 10.33549/physiolres.933731.
The data derived from rat models and the preliminary results of human studies provide strong indices of involvement of common ZBTB16 variants in a range of cardiovascular and metabolic traits. This cross-sectional study in the Caucasian cohort of 1517 Czech adults aimed to verify the hypothesis that ZBTB16 gene variation directly affects obesity and serum lipid levels. Genotyping of nine polymorphisms of the ZBTB16 gene (rs11214863, rs593731, rs763857, rs2846027, rs681200, rs686989, rs661223, rs675044, rs567057) was performed. A multivariate bidirectional regression with the reduction of dimensionality (O2PLS model) revealed relationships between basal lipid levels and anthropometric parameters and some minor ZBTB16 alleles. In men, the predictors - age and presence of minor ZBTB16 alleles of rs686989, rs661223, rs675044, rs567057 - were associated with significantly higher body mass index, waist to hip ratio, body adiposity index, waist and abdominal circumferences, higher total cholesterol and LDL cholesterol and explained 20 % of variability of these variables. In women, the predictors - age and presence of the rs686989 minor T allele - were also associated with increased anthropometric parameters and total cholesterol and LDL cholesterol but the obtained O2PLS model explained only 7.8 % of the variability of the explained variables. Our study confirmed that the selected gene variants of the transcription factor ZBTB16 influence the obesity-related parameters and lipid levels. This effect was more pronounced in men.
来自大鼠模型的数据以及人体研究的初步结果有力地表明,常见的ZBTB16基因变体与一系列心血管和代谢特征有关。这项针对1517名捷克成年白种人队列的横断面研究旨在验证ZBTB16基因变异直接影响肥胖和血脂水平这一假设。对ZBTB16基因的9个多态性位点(rs11214863、rs593731、rs763857、rs2846027、rs681200、rs686989、rs661223、rs675044、rs567057)进行了基因分型。采用降维的多变量双向回归分析(O2PLS模型)揭示了基础血脂水平、人体测量参数与一些ZBTB16次要等位基因之间的关系。在男性中,预测因素——年龄以及rs686989、rs661223、rs675044、rs567057的ZBTB16次要等位基因的存在——与显著更高的体重指数、腰臀比、身体脂肪指数、腰围和腹围、更高的总胆固醇和低密度脂蛋白胆固醇相关,并解释了这些变量20%的变异性。在女性中,预测因素——年龄以及rs686989次要T等位基因的存在——也与人体测量参数、总胆固醇和低密度脂蛋白胆固醇的增加有关,但所获得的O2PLS模型仅解释了所解释变量7.8%的变异性。我们的研究证实,转录因子ZBTB16的选定基因变体影响肥胖相关参数和血脂水平。这种影响在男性中更为明显。