Evidence map›Paper›PMID 28418876›Full record

ArticleOncotarget2017

PPARGC1A rs3736265 G>A polymorphism is associated with decreased risk of type 2 diabetes mellitus and fasting plasma glucose level.

Li Zhu, Qiuyu Huang, Zhiqiang Xie, Mingqiang Kang, Hao Ding, Boyang Chen, Yu Chen, Chao Liu, Yafeng Wang, Weifeng Tang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  5. Correlation BetweenOpen life sciences · 2019
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  7. The relationship betweenOncoTargets and therapy · 2017
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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

10 authors at 5 institutions in 1 country.

Li ZhuDepartment of Nephrology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China.
Qiuyu HuangDepartment of Cardiac Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.
Zhiqiang XieDepartment of Clinical Laboratory, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.
Mingqiang KangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.
Hao DingDepartment of Respiratory Disease, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China.
Boyang ChenDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.
Yu ChenDepartment of Medical Oncology, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian Province, China.
Chao LiuDepartment of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China.
Yafeng WangDepartment of Cardiology, The People's Hospital of Xishuangbanna Dai Autonomous Prefecture, Jinghong, Yunnan Province, China.
Weifeng TangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China.
Fujian Medical University · CNJiangsu University · CNUnion Hospital · CNAffiliated Hospital of Jiangsu University · CNFujian Provincial Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been reported that peroxisome proliferator-activated receptor gamma (PPARG) and peroxisome proliferator-activated receptor gamma co-activator 1 (PPARGC1) family (e.g. PPARGC1A and PPARGC1B) are key agents in the development and pathophysiology of type 2 diabetes mellitus (T2DM). In this study, we designed a case-control study and selected PPARG rs1801282 C>G, PPARG rs3856806 C>T, PPARGC1A rs8192678 C>T, PPARGC1A rs2970847 C>T, PPARGC1A rs3736265 G>A, PPARGC1B rs7732671 G>C and PPARGC1B rs17572019 G>A polymorphisms to assess the relationship between these polymorphisms and T2DM using the SNPscan method. A total of 502 T2DM patients and 784 non-diabetic controls were enrolled. We found that PPARGC1A rs3736265 G>A polymorphism was correlated with a borderline decreased susceptibility of T2DM. In a subgroup analysis by age, sex, alcohol use, smoking status and body mass index, a significantly decreased risk of T2DM in <65 years and female groups was found. Haplotype comparison analysis indicated that CTTCGGG and CTCTGGG haplotypes with the order of PPARG rs1801282 C>G, PPARG rs3856806 C>T, PPARGC1A rs8192678 C>T, PPARGC1A rs2970847 C>T, PPARGC1A rs3736265 G>A, PPARGC1B rs7732671 G>C and PPARGC1B rs17572019 G>A polymorphisms in gene position significantly increased the risk of T2DM. However, CCCCACA haplotype conferred a decreased risk to T2DM. We also found that PPARGC1A rs3736265 A allele decreased the level of fasting plasma glucose (FPG), while increased the level of Triglyceride. In conclusion, Our findings suggest that variants of PPARGC1A rs3736265 G>A polymorphism decrease the level of FPG, improving the expectation of study in individual's prevention strategies to T2DM.

Indexed as

AgedBlood GlucoseCarrier ProteinsCase-Control StudiesChinaDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPolymorphism, Single NucleotidePPAR gammaRiskBlood GlucoseCarrier ProteinsPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPPAR gammaPPARGC1A protein, humanPPARGC1B protein, humanRNA-Binding ProteinspolymorphismPPARGPPARGC1APPARGC1Btype 2 diabetes mellitus

Identifiers

PMID28418876
PMCPMC5514910
OpenAlexW2595908974

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.