Evidence map›Paper›PMID 40890424›Full record

ArticleScientific reports2025

Bioinformatic analyses and validated experiments reveal an aging hallmark gene set and protective miR of coronary artery disease.

Jing Chen, Hai-Zhen Huang, Hua-Yu Wu, Gui-Ding Wang, Jin-Long Deng, Dong-Feng Wu, Li-Na Wen, Lan-Lan Qiu, Chen-Xi Cui, Chong-Yang Song and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

11 authors.

Jing Chen *Department of Pathophysiology, School of Pre-clinical Medicine, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Hai-Zhen Huang *Department of Pathophysiology, School of Pre-clinical Medicine, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Hua-Yu WuDepartment of Cell Biology and Genetics, School of Pre-clinical Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Gui-Ding WangDepartment of Pathophysiology, School of Pre-clinical Medicine, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Jin-Long DengDepartment of Geriatric Cardiology, Guangxi Academy of Medical Sciences, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, China.
Dong-Feng WuDepartment of Geriatric Cardiology, Guangxi Academy of Medical Sciences, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, China.
Li-Na WenDepartment of Geriatric Cardiology, Guangxi Academy of Medical Sciences, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, China.
Lan-Lan QiuDepartment of Pathophysiology, School of Pre-clinical Medicine, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Chen-Xi CuiDepartment of Pathophysiology, School of Pre-clinical Medicine, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Chong-Yang SongDepartment of Pathophysiology, School of Pre-clinical Medicine, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Shang-Ling PanDepartment of Pathophysiology, School of Pre-clinical Medicine, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, China. slpan@gxmu.edu.cn.

Funding

Guangxi Natural Science Foundation No. 2020GXNSFAA238027National Natural Science Foundation of China No. 81860205
6 · The paper itself

Abstract

To investigate how aging hallmarks exert roles in the age-related disease of coronary artery disease (CAD). R software and the GEO2R online tool identified differentially expressed genes (DEGs) and differentially expressed microRNAs (DEMis) in CAD microarray datasets from the Gene Expression Omnibus. Genes common to target genes of DEMis, DEGs, and an aging gene list from Human Aging Genomic Resources were then identified and analyzed for protein-protein interactions and functional and pathway enrichment. An miR-mRNA network was constructed using Cytoscape. Receiver operating characteristic curve analysis assessed the diagnostic utility of DEMis in CAD. The expression of two DEMis from a CAD cohort was employed to validate the findings. An aging hallmark gene set, comprising 18 genes, was delineated, with the hub gene TP53 established through protein-protein interaction and microRNA-mRNA networks. Within the microRNA-mRNA network, two DEMis (hsa-miR-423-5p and hsa-miR-564) potentially regulated TP53, rendering them potential CAD biomarkers, as indicated by their area under the curves (AUC) surpassing 0.6. Validation experiments corroborated an AUC of 0.7002 for hsa-miR-423-5p and 0.7261 for hsa-miR-564, highlighting its protective association with CAD. Combining hsa-miR-423-5p, hsa-miR-564, total cholesterol (TC), high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), white blood cells (WBC) achieved an area under the receiver operating characteristics curve of 0.783. A CAD-associated gene set was identified, with TP53 as the central hub. Hsa-miR-564 emerged as a potential protective factor against CAD.

Indexed as

AgingComputational BiologyCoronary Artery DiseaseMicroRNAsFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMaleProtein Interaction MapsROC CurveTumor Suppressor Protein p53MicroRNAsTumor Suppressor Protein p53AgingBioinformatics analysisCoronary artery diseaseHsa-miR-423-5pHsa-miR-564TP53

Identifiers

PMID40890424
PMCPMC12402253

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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.