Evidence map›Paper›PMID 35087281›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

The Single Nucleotide Polymorphisms (rs1292037 and rs13137) in miR-21 Were Associated with T2DM in a Chinese Population.

Yiping Li, Jia Yang, Wenyu Tao, Man Yang, Xiaoling Wang, Tinglian Lu, Chuanyin Li, Ying Yang, Yufeng Yao

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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  3. Influence of rsHealth science reports · 2025
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  7. World journal of diabetes · 2024
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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

9 authors at 2 institutions in 1 country.

Yiping Li *Department of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming City, Yunnan, People's Republic of China.
Jia Yang *Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming City, People's Republic of China.
Wenyu TaoDepartment of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming City, Yunnan, People's Republic of China.
Man YangDepartment of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming City, Yunnan, People's Republic of China.
Xiaoling WangDepartment of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming City, Yunnan, People's Republic of China.
Tinglian LuDepartment of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming City, Yunnan, People's Republic of China.
Chuanyin LiInstitute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming City, People's Republic of China.
Ying YangDepartment of Endocrinology, The Affiliated Hospital of Yunnan University & The Second People's Hospital of Yunnan Province, Kunming City, Yunnan, People's Republic of China.
Yufeng YaoInstitute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming City, People's Republic of China.ORCID 0000-0003-4508-1409
Second People's Hospital of Yunnan Province · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin receptor (INSR), insulin receptor substrate (IRS) and glucose transporter 4 (GLUT4) play important roles in the insulin resistance pathway. The microRNA (miRNA or miR) involved in INSR, IRS or GLUT4 could be associated with the development of type 2 diabetes (T2DM).

methodsThe aim of this study was to investigate the association of T2DM with 12 single nucleotide polymorphisms (SNPs) in 7 miRNAs (miR-195, miR-126, miR-144, miR-155, miR-21, miR-93 and miR-222) involved in the insulin resistance pathway. A total of 1593 subjects with T2DM and 1656 nondiabetic subjects were genotyped. Then, the associations of these SNPs with the development of T2DM and individual metabolic traits were evaluated, such as fasting plasma glucose (FPG) and glycosylated haemoglobin (HbA1C).

resultsOur data showed that the C allele of rs1292037 in miR-21 could increase the risk of developing T2DM (P = 0.002, OR = 1.17; 95% CI: 1.06-1.29). In addition, the T allele of rs13137 in miR-21 could be a risk factor for T2DM (P = 0.003, OR = 1.16; 95% CI: 1.05-1.28). According to inheritance mode analysis, compared with the T/T-T/C genotype, the C/C genotype of rs1292037 showed a risk effect in T2DM in the recessive mode (P = 0.001, OR = 1.35; 95% CI: 1.13-1.63). For rs13137, compared with the A/A-A/T genotype, the T/T genotype also showed a risk effect in T2DM in the recessive mode (P = 0.001, OR = 1.35; 95% CI: 1.13-1.62). Moreover, in the nondiabetic group, compared with the rs78312845 A/G (FPG = 5.177±0.488mmol/L; HbA1C = 5.147±0.293%) and A/A genotypes (FPG = 5.155±0.486mmol/L; HbA1C = 5.136±0.299%), the G/G genotype (FPG = 4.887±0.482mmol/L; HbA1C = 4.960±0.397%) was associated with lower FPG (P = 0.012 and 0.019) and HbA1C (P = 0.008 and 0.011).

conclusionOur results revealed that rs1292037 and rs13137 in miR-21 were associated with T2DM susceptibility in a Han Chinese population. Moreover, the rs78312845 in miR-195 contributed to the level of FPG and HbA1C in nondiabetic group in the Han Chinese population.

Indexed as

Chinese populationinsulin resistancemicroRNApolymorphismsT2DM

Identifiers

PMID35087281
PMCPMC8789254
OpenAlexW4206573443

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.