期刊
BMC ENDOCRINE DISORDERS
卷 22, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s12902-022-00965-0
关键词
Metabolic syndrome; Single nucleotide polymorphisms; Sirt1; Nrf2
资金
- National Natural Science Foundation of China [81873653]
- Zhejiang Provincial Natural Science Foundation of China [LQ18H070001]
The Sirt1 rs7895833 SNP contributes to the susceptibility of MetS as well as glycemic and metabolic traits in a Chinese population.
Background Metabolic syndrome (MetS) is a complex of interrelated risk factors, including central adiposity, increased blood pressure, hyperglycemia, elevated triglyceride levels and low high-density lipoprotein. Few studies have reported the genetic variants in the Sirt1 and Nrf2 genes (Sirt1 rs7895833 A > G, Sirt1 rs2273773 C > T and Nrf2 rs6721961 C > A) that increase the risk of type 2 diabetes mellitus and are correlated with some glycemic and metabolic traits in the Chinese Han population. Methods Our study recruited 141 individuals with MetS and 549 individuals without MetS to investigate the associations between three single nucleotide polymorphisms (SNPs) of Sirt1 and Nrf2 and the risk of MetS in a Chinese Han population using the PCR-CTPP method. Results This research showed that the risk of MetS was 2.41 times higher for the AA genotype (P = 0.038) and 1.94 times higher for the AG genotype (P = 0.016) compared with carriers of the GG genotype. The serum levels of low-density lipoprotein cholesterol and HOMA-IR were significantly higher (P < 0.05) in carriers of the AA genotype of Sirt1 rs7895833 than in carriers of the AG and GG genotypes in the general population. The serum level of total cholesterol in the AA genotype was lower (P = 0.033) than that in the other two genotypes. However, the genotype frequencies of Sirt1 rs2273773 and Nrf2 rs6721961 in the MetS group were not significantly different from those in the control subjects, and those two genetic variants were not correlated with metabolic traits. Conclusions These results underscore the contributions of SNPs of Sirt1 rs7895833 to MetS susceptibility as well as glycemic and metabolic traits in a Chinese population.
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