Wang Chun-Yang, Liu Shu, Xie Xiao-Nv, Luo Zhi-Ying, Yang Li, Tan Zhi-Rong
Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, People's Republic of China,
Department of Clinical Pharmacology, Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, People's Republic of China,
Diabetes Metab Syndr Obes. 2018 Aug 22;11:439-446. doi: 10.2147/DMSO.S161808. eCollection 2018.
The small peptide transporter 1 (PepT-1) and adipose phospholipase A2 (AdPLA) play a key role in the development of obesity. However, there are no data assessing the impact of PepT-1 () and AdPLA () variants on obesity susceptibility. Therefore, we assessed the contribution of 9 single-nucleotide polymorphisms (SNPs) between these two genes on obesity susceptibility in Chinese subjects.
A total of 611 participants were enrolled in the study, and 9 SNPs in the and genes were selected. Blood samples were collected for genotyping. Overweight and obesity were established by body mass index. Regression analyses were performed to test for any association of genetic polymorphisms with weight abnormality.
The genotype frequencies (=0.04 for rs9557029, =0.027 for rs1289389) were significantly different between obese or overweight subjects and healthy controls. However, no significant difference in allele was found between these three groups (>0.05). Further logistic regression analyses adjusted for age and sex also failed to reveal significant associations between overweight, obesity, and the selected SNPs (>0.05).
Data indicate that the selected 9 SNPs in and genes were not related to obesity susceptibility in the Han Chinese population.
小肽转运体1（PepT - 1）和脂肪磷脂酶A2（AdPLA）在肥胖症的发生发展中起关键作用。然而，尚无数据评估PepT - 1（）和AdPLA（）基因变异对肥胖易感性的影响。因此，我们评估了这两个基因之间9个单核苷酸多态性（SNP）对中国受试者肥胖易感性的作用。
本研究共纳入611名参与者，选择了和基因中的9个SNP。采集血样进行基因分型。根据体重指数确定超重和肥胖情况。进行回归分析以检验基因多态性与体重异常之间的任何关联。
肥胖或超重受试者与健康对照之间的基因型频率（rs9557029的=0.04，rs1289389的=0.027）存在显著差异。然而，这三组之间的等位基因频率未发现显著差异（>0.05）。进一步针对年龄和性别进行校正的逻辑回归分析也未揭示超重、肥胖与所选SNP之间存在显著关联（>0.05）。
数据表明，所选的和基因中的9个SNP与汉族人群的肥胖易感性无关。
