1. Correlations between the long noncoding RNA MEG3 and clinical characteristics for diabetic kidney disease in type 2 diabetes mellitus.
- Author
-
Ting, Ke-Hsin, Yang, Po-Jen, Tsai, Po-Yu, Lee, Chia-Yi, and Yang, Shun-Fa
- Abstract
Background and aims: Diabetic kidney disease (DKD) is a common complication of type 2 diabetes mellitus (T2DM) that leads to systemic inflammation. Maternally expressed gene 3 (MEG3) is a tumor suppressor that is involved in inflammation regulation. The current study investigated the association between DKD and the prevalence of the single-nucleotide polymorphisms (SNPs) of MEG3. Methods: A total of 706 and 735 patients were included in the DKD and non-DKD groups, respectively. The five SNPs of MEG3, namely rs4081134 (G/A), rs10144253 (T/C), rs7158663 (G/A), rs3087918 (T/G), and rs11160608 (A/C), were genotyped using TaqMan allelic discrimination. Results: Our results revealed that, in the DKD group, the distribution of the GG genotype of the MEG3 SNP rs3087918 was significantly lower than that of the wild-type genotype (AOR: 0.703, 95% CI: 0.506–0.975, P = 0.035). In addition, in the pre-ESRD DKD subgroup, the distribution of the TG + GG genotype of the MEG3 SNP rs3087918 was significantly lower than that of the wild-type genotype (AOR: 0.637, 95% CI: 0.421–0.962, P = 0.032). In addition, among men in the DKD subgroup, the distribution of the GG genotype of the MEG3 SNP rs3087918 was significantly lower than that of the wild-type genotype (AOR: 0.630, 95% CI: 0.401–0.990, P = 0.045). Glycated hemoglobin (HbA1c) level was significantly higher in all T2DM patients with the wild-type genotype of the MEG3 SNP rs3087918 (P = 0.020). In addition, HbA1c levels were significantly higher in male patients and male DKD patients with the wild-type genotype of the MEG3 SNP rs3087918 (P = 0.032 and 0.031, respectively). Conclusion: MEG3 SNP rs3087918 is significantly less prevalent in patients with DKD, and the SNP rs3087918 of MEG3 is associated with lower HbA1c levels. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF