Evidence map›Paper›PMID 31389668›Full record

Trial reportMolecular genetics & genomic medicine2019

Association of single nucleotide polymorphisms of miRNAs involved in the GLUT4 pathway in T2DM in a Chinese population.

Yiping Li, Chuanyin Li, Man Yang, Li Shi, Wenyu Tao, Keyu Shen, Xianli Li, Xiaoling Wang, Ying Yang, Yufeng Yao

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 31% of its field
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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Observational
  11. Association Between Single Nucleotide Polymorphisms inDiabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
  12. Association of microRNA gene polymorphisms with Type 2 diabetes mellitus: A systematic review and meta-analysis.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2020
    Review
  13. Identifying the association between single nucleotide polymorphisms inInternational journal of medical sciences · 2020
    Observational
  14. 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

10 authors at 3 institutions in 2 countries.

Yiping LiDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province & The Fourth Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Chuanyin LiInstitute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, Yunnan, China.
Man YangDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province & The Fourth Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Li ShiInstitute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, Yunnan, China.
Wenyu TaoDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province & The Fourth Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Keyu ShenFaculty of Medicine, Dentistry and Healthy Science, The University of Melbourne, Melbourne, Vic., Australia.
Xianli LiDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province & The Fourth Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Xiaoling WangDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province & The Fourth Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Ying YangDepartment of Endocrinology and Metabolism, The Second People's Hospital of Yunnan Province & The Fourth Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yufeng YaoInstitute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, Yunnan, China.ORCID 0000-0003-4508-1409
Kunming Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe insulin/insulin receptor substrate (IRS)/phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt)/GLUT4 pathway plays a crucial role in insulin resistance and is closely associated with T2DM. Accumulating evidence indicates that miRNAs (such as miR-135a, let-7d, miR-107, miR-96, miR-29a, miR-23a, miR-126, miR-133a, and miR-106b) influence the GLUT4 pathway.

methodsA total of 784 subjects with T2DM and 846 nondiabetic subjects were enrolled and 12 single nucleotide polymorphisms (SNPs) in miRNAs (rs10459194 in miR-135a-2, rs10993081 and rs7045890 in let-7d, rs2296616 in miR-107, rs2402959 and rs6965643 in miR-96, rs24168 in miR-29a, rs3745453 in miR-23a, rs4636297 in miR-126, rs8089787 and rs9948906 in miR-133a-1 and rs999885 in miR-106b) involved in the GLUT4 pathway were genotyped using the MassArray method in a Chinese population.

resultsOur data showed that the A allele of rs2402959 in miR-96 may increase the risk of developing T2DM (p = .002, OR = 1.266; 95% CI: 1.089-1.471). The genotypes of rs3745453 in miR-23a showed the difference between T2DM and control groups (p < .001). Moreover, for rs2402959, compared with the A/A genotype, the (G/A-G/G) genotype shows a protective effect in T2DM (p = .001, OR = 0.71; 95% CI: 0.58-0.87). For rs3745453, compared with the (A/A-A/G) genotype, the G/G genotype increases the risk of T2DM (p < .001, OR = 1.95; 95% CI: 1.38-2.77). In addition, we also found that rs4636297G/G genotype was associated with lower TC in T2DM group.

conclusionOur results revealed that genetic variations in the miRNAs involved in the GLUT4 pathway were associated with T2DM susceptibility in a Chinese population, and these results emphasize the need to study the functional effects of these variations in the miRNAs involved in the GLUT4 pathway on the risk of developing T2DM.

Indexed as

Glucose Transporter Type 4Polymorphism, Single NucleotideAdultDiabetes Mellitus, Type 2FemaleHumansMaleMicroRNAsMiddle AgedRisk FactorsGlucose Transporter Type 4MicroRNAsSLC2A4 protein, humanChinese populationGLUT4 pathwayinsulin resistancemicroRNApolymorphismsT2DM

Identifiers

PMID31389668
PMCPMC6732275
OpenAlexW2965799783

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.