Evidence map›Paper›PMID 36091483›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

Association of CLTA-4 Gene Polymorphisms with Diabetes Mellitus: A Study Based on the Han Population of Northern China.

Dongyue Ren, Lin He, Xiaoling Pang

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Dongyue RenDepartment of Emergency, the Fourth Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
Lin HeGood Clinical Practice Institution, the Fourth Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
Xiaoling PangDepartment of Emergency, the Fourth Affiliated Hospital of China Medical University, Shenyang, People's Republic of China.
China Medical University · CNFourth Affiliated Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the association of CLTA-4 gene polymorphism with Type 1 and 2 diabetes mellitus (DM) (T1DM and T2DM) in the Han population of northern China. Methods: A total of 234 Chinese Han DM patients and 187 non-diabetic subjects were included in the study. Two gene polymorphisms of the CLTA-4, including CTLA-4+49A/G (rs231775) and CTLA4-318C/T (rs5742909), were studied using polymerase chain reaction-restriction endonuclease fragment length polymorphism (PCR-RFLP) analysis. Chi-square analysis and Student's Results: Our results indicated that the distribution frequencies of genotypes and alleles at the CTLA-4+49A/G and CTLA4-318C/T loci of T1DM patients were not significantly different from those of the controls. However, the distribution frequencies of genotypes and alleles at the CTLA-4+49A/G loci of T2DM patients were significantly different from the controls (P=0.024 for genotypes and P=0.004 for A and G alleles). Besides, the A and G alleles at the CTLA4-318C/T loci of T2DM DK+ patients showed significantly different distribution frequencies compared to those of the T2DM DK patients (P=0.001). Conclusion: Our data suggest that the gene polymorphisms of CTLA-4, including CTLA-4+49A/G and CTLA4-318C/T, are important predictors of DM. CTLA-4 may be a susceptibility gene for T2DM. Patients with T2DM carrying the T allele at the CTLA4-318 C/T locus are more predisposed to diabetic ketosis.

Indexed as

autoantibodiesCTLA-4diabetes mellitusdiabetic ketosisdiabetic nephropathygene polymorphism

Identifiers

PMID36091483
PMCPMC9451031
OpenAlexW4294276606

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LicenceCC BY-NC
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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.