已发表论文

参与PI3K/ATK/GSK3β通路的MiRNA多态性与中国人群T2DM的关联

 

Authors Zhou X, Yang M, Yang Y, Xu F, Wang F, Jiao M, Tao W, Li Y 

Received 30 August 2024

Accepted for publication 3 February 2025

Published 14 February 2025 Volume 2025:18 Pages 71—84

DOI https://doi.org/10.2147/PGPM.S487873

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Martin H Bluth

Xing Zhou,1– 3,* Man Yang,1,* Ying Yang,1 Fan Xu,1 Feiying Wang,1 Ming Jiao,2,4 Wenyu Tao,1 Yiping Li1 

1Department of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People’s Hospital of Yunnan Province, Kunming, Yunnan, People’s Republic of China; 2Kunming Medical University, Kunming, Yunnan, People’s Republic of China; 3Department of Endocrinology, Dongguan Tungwah Hospital, Dongguan, Guangdong, People’s Republic of China; 4Yunnan Emergency Center, Kunming, Yunnan, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Wenyu Tao; Yiping Li, Department of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People’s Hospital of Yunnan Province, Kunming, Yunnan, People’s Republic of China, Email twy623@126.com; yyflyp@aliyun.com

Background: Single nucleotide polymorphisms (SNPs) in miRNA genes can influence the expression of miRNAs that modulate the PI3K/AKT/GSK3β pathway and play crucial roles in type 2 diabetes mellitus (T2DM) susceptibility. The purpose of this study was to investigate the association of SNPs in miRNA genes targeting the PI3K/AKT/GSK3β pathway with T2DM.
Methods: This case-control study included 1,416 subjects with T2DM and 1,694 non-diabetics. Eleven SNPs in miRNA genes (rs895819 in miR-27a, rs11888095 in miR-128a, rs2292832 in miR-149, rs6502892 in miR-22, rs13283671 in miR-31, rs1076063 and rs1076064 in miR-378a, rs10061133 in miR-449b, rs3746444 in miR-499a and rs678956 and rs476364 in miR-326) involved in PI3K/AKT/GSK3β pathway were genotyped by TaqMan Genotyping Assay, and the associations of these SNPs with T2DM were analyzed using online SHesis and SNPstats.
Results: The results showed that miR-378a rs1076064 G allele could be a protective factor against T2DM (p< 0.001, OR=0.828; 95% CI:0.749– 0.916), whereas the miR-31 rs13283671 C allele could increase the risk of developing T2DM (p=0.003, OR=1.193; 95% CI:1.060– 1.342). In addition, the miR-378a rs1076063A-rs1076064G haplotype could be a protective against T2DM (p< 0.001, OR=0.731; 95% CI:0.649– 0.824). According to inheritance mode analysis, compared with the AA-AG genotype, the GG genotype of rs1076064 showed a protective effect in T2DM in the recessive mode (p< 0.01, OR=0.71; 95% CI: 0.59– 0.84). For rs13283671, compared with the TT genotype, the CT-CC genotype showed a risk effect in T2DM in the dominant inheritance model (p< 0.01, OR=1.29; 95% CI: 1.12– 1.49). Genotype-Tissue Expression (GTEx) Portal database analysis showed that miR-31 rs13283671 CT and CC genotypes had lower AKT expression than TT genotypes.
Conclusion: In conclusion, rs13283671 in miR-31 and rs1076064 in miR-378a involved in the PI3K/AKT/GSK3β pathway were associated with T2DM susceptibility in a Chinese population.

Keywords: T2DM, GSK3β, microRNA, polymorphisms, Chinese population