Evidence map›Paper›PMID 41387412›Full record

ArticleNature communications2025

DNA methylation predicts adverse outcomes of coronary artery disease.

Min Qin, Xiaoxue Tian, Qili Wu, Qian Zhu, Meiling Yu, Xianhong Fang, Xiaoping Chen, Chen Liu, Bin Zhang, Hanping Li and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

Min Qin *Department of Pharmacy, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0009-0000-5632-7756
Xiaoxue Tian *Department of Pharmacy, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Qili WuDepartment of Pharmacy, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Qian ZhuDepartment of Pharmacy, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0009-0002-4340-5844
Meiling YuDepartment of Pharmacy, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xianhong FangDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xiaoping ChenDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.
Chen LiuDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Bin ZhangDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Hanping LiGuangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xipei WangLaboratory of Phase I Clinical Trials, Medical Research Center of Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Cuiping PanCenter for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Guangzhou, China. cuipingpan@hkust-gz.edu.cn.
Shilong ZhongDepartment of Pharmacy, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. gdph_zhongsl@gd.gov.cn.ORCID http://orcid.org/0000-0002-2696-7696

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82204525National Natural Science Foundation of China (National Science Foundation of China) 82274016
6 · The paper itself

Abstract

Adverse outcomes including myocardial infarction (MI) and stroke render coronary artery disease (CAD) a leading cause of death worldwide. DNA methylation markers may alert such adversity ahead of the events. We profiled DNA methylation of blood leukocytes in 933 Chinese CAD patients with up-to-13-year follow-up from three centers, identifying 70 differentially methylated sites (DMPs) associated with future death. These DMPs correlated with inflammation markers, left ventricular functions and high-density lipoprotein cholesterol, and impacted gene expression in immune response and cellular scenesence. Notably, cg25563198 and cg25114611 were discovered to regulate FKBP5, whose upregulation persisted during MI and stroke. Fkbp5 knockout in male mice partially rescued MI by reducing infarct size and improving heart function, confirming its critical function. Finally, our prognostic model of 10 methylation sites and 5 clinical features outperformed clinical models. Our study highlights the value of DNA methylation in predicting prognosis in CAD and provides tools for clinical translation.

Indexed as

Coronary Artery DiseaseDNA MethylationAgedAnimalsFemaleHumansMaleMiceMice, KnockoutMiddle AgedMyocardial InfarctionPrognosisStrokeTacrolimus Binding Protein 5Tacrolimus Binding ProteinsTacrolimus Binding Protein 5Tacrolimus Binding Proteins

Identifiers

PMID41387412
PMCPMC12738899

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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.