Evidence map›Paper›PMID 39974346›Full record

ArticlePharmacogenomics and personalized medicine2025

Association of MiRNA Polymorphisms Involved in the PI3K/ATK/GSK3β Pathway with T2DM in a Chinese Population.

Xing Zhou, Man Yang, Ying Yang, Fan Xu, Feiying Wang, Ming Jiao, Wenyu Tao, Yiping Li

Abstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xing Zhou *Department of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming, Yunnan, People's Republic of China.
Man Yang *Department of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming, Yunnan, People's Republic of China.
Ying YangDepartment of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming, Yunnan, People's Republic of China.
Fan XuDepartment of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming, Yunnan, People's Republic of China.
Feiying WangDepartment of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming, Yunnan, People's Republic of China.
Ming JiaoKunming Medical University, Kunming, Yunnan, People's Republic of China.
Wenyu TaoDepartment of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming, Yunnan, People's Republic of China.
Yiping LiDepartment of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming, Yunnan, People's Republic of China.ORCID 0000-0002-5666-1743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Chinese populationGSK3βmicroRNApolymorphismsT2DM

Identifiers

PMID39974346
PMCPMC11835773

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.