Evidence map›Paper›PMID 34589546›Full record

ArticleBioMed research international2021

Association Analysis of LEP Signaling Pathway with Type 2 Diabetes Mellitus in Chinese Han Population from South China.

Haibing Yu, Lin Xu, Hao Liu, Jialu Huang, Ling Luo, Rong Chen, Jian Xu, Chunwen Lin, Weiying Chen, Yuxun Xie and 3 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

13 authors at 1 institution in 1 country.

Haibing YuSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.ORCID https://orcid.org/0000-0002-1877-3074
Lin XuSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.
Hao LiuSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.ORCID https://orcid.org/0000-0002-5776-9908
Jialu HuangSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.
Ling LuoSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.
Rong ChenSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.
Jian XuSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.
Chunwen LinSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.ORCID https://orcid.org/0000-0003-1227-5370
Weiying ChenSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.ORCID https://orcid.org/0000-0002-1466-8891
Yuxun XieSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.
Huihuang YangSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.
Danli KongSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.ORCID https://orcid.org/0000-0002-1661-1848
Yuanlin DingSchool of Public Health, Guangdong Medical University, Dongguan 523808, China.ORCID https://orcid.org/0000-0003-4057-6488
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study is aimed at analyzing the relationship between leptin (LEP) signaling pathway and type 2 diabetes mellitus (T2DM) and at providing support for molecular genetic research on the pathogenesis of T2DM in Chinese Han population.

methodsA case-control study was designed, including 1092 cases with T2DM and 1092 healthy controls of Chinese Han origin recruited from ten hospitals in Guangdong Province, Southern China. Twenty-three single nucleotide polymorphisms (SNPs) of 15 genes in LEP signaling pathway were genotyped by SNPscan™ kit. The Pearson chi-square test, Cochran-Armitage trend test, MAX3, and logistic regression were applied to analyze the association between single nucleotide polymorphism (SNP) and T2DM; unconditional logistic regression was used to analyze haplotype in LD block; and SNP set analysis based on logistic kernel machine regression was used to analyze pathway. All statistical analysis was performed by SPSS25.0, R2.14, Haploview4.2, SNPStats, and other statistical software packages.

resultsIn association analysis based on SNP, rs2167270 had statistical significance both in the adjusted and unadjusted covariate dominant model and in the unadjusted covariate overdominant model while it had no significant difference in the adjusted covariate overdominant model. Compared to GG genotype, rs2167270 of AG genotype had statistical significance in both the adjusted and unadjusted covariate codominant models. And rs16147 had statistical significance in robust test, stealth model and overdominant model, and adjusting and unadjusting covariate. This study found linkage disequilibrium existed between rs2167270 and rs4731426 of LEP, rs10889502 and rs17127107 of JAK1, rs2970847 and rs6821591 of PPARGC1A, rs249429 and rs3805486 of PRKAA1, rs1342382 and rs6588640 of PRKAA2, rs3766522 and rs6937 of PRKAB2, rs2970847 and rs6821591 of PRKAG2, and rs6436094 and rs645163 of PRKAG3. There was no positive finding with statistical significance from the unconditional logistic regression of the mentioned genes' haplotype of LD block.

conclusionsLEP signaling pathway association with T2DM remained to be confirmed in Chinese Han population, although rs2167270 and rs16147 were significantly associated with T2DM.

Indexed as

Genetic Association StudiesSignal TransductionAllelesAsian PeopleCase-Control StudiesChinaDiabetes Mellitus, Type 2EthnicityFemaleGenetic Predisposition to DiseaseHaplotypesHumansLeptinLinkage DisequilibriumLogistic ModelsMaleLeptin

Identifiers

PMID34589546
PMCPMC8476258
OpenAlexW3200792533

What Socratic holds

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LicenceCC BY
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 Socratic graph.