Evidence map›Paper›PMID 39569832›Full record

ArticleJournal of cellular and molecular medicine2024

Associations of genetic variation and mRNA expression of PDGF/PDGFRB pathway genes with coronary artery disease in the Chinese population.

Pengfei Wei, Hankun Xie, Junxiang Sun, Qian Zhuang, Jichao Xie, Yunjie Yin, Fangyuan Liu, Wen Li, Changying Chen, Feifan Wang and 6 more

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

16 authors.

Pengfei WeiDepartment of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing, China.
Hankun XieDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Junxiang SunDepartment of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing, China.
Qian ZhuangDepartment of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing, China.
Jichao XieDepartment of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing, China.
Yunjie YinDepartment of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing, China.
Fangyuan LiuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Wen LiDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Changying ChenDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Feifan WangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Xu HanDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Liang XuDepartment of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing, China.
Xianghai ZhaoDepartment of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing, China.
Yanchun ChenDepartment of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing, China.
Song YangDepartment of Cardiology, Affiliated Yixing People's Hospital of Jiangsu University, People's Hospital of Yixing City, Yixing, China.
Chong ShenDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0001-6447-6591

Funding

National Natural Science Foundation of China 81872686National Natural Science Foundation of China 82173611Priority Academic Program Development of Jiangsu Higher Education InstitutionsScientific Research Project of Yixing Municipal Health Commission YWKJ202207
6 · The paper itself

Abstract

Platelet-derived growth factors (PDGFs) and receptors (PDGFR) play a key role in the process of coronary atherosclerosis. We aimed to investigate the association of genetic variations and mRNA expressions of PDGF/PDGFRB pathway genes with coronary artery disease (CAD). In this case-control study (3139 CAD vs. 3270 controls), 13 single nucleotide polymorphisms (SNPs) at five pathway genes were genotyped and combined to construct a weighted genetic risk score (wGRS). Three hundred and six pairs of cases and controls were selected for mRNA quantification. Restricted cubic spline (RCS) analyses were conducted for the dose-response relationship between wGRS, mRNAs and CAD. Area under the curve (AUC) was estimated to evaluate the discrimination of wGRS, mRNAs, and traditional risk factors (TRF) for CAD. The wGRS exhibited a positive linear relationship with CAD (p for linearity <0.001), and the medium and high wGRS had 37% and 50% increased risk of CAD compared to the low wGRS group (p = 1.5 × 10

Indexed as

Coronary Artery DiseasePlatelet-Derived Growth FactorReceptor, Platelet-Derived Growth Factor betaAgedCase-Control StudiesChinaEast Asian PeopleFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPolymorphism, Single NucleotideRisk FactorsRNA, MessengerSignal TransductionPDGFRB protein, humanPlatelet-Derived Growth FactorReceptor, Platelet-Derived Growth Factor betaRNA, Messengercase–control studycoronary artery diseasegenetic variationmRNA expressionPDGF pathway

Identifiers

PMID39569832
PMCPMC11579943

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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.