Evidence map›Paper›PMID 42846414›Full record

ArticleFundamental research2026

Healthy lifestyle attenuates the clonal hematopoiesis-associated coronary artery disease risk.

Yuxin Yang, Xuxiang Shen, Keyong Huang, Hongwei Liu, Jianxin Li, Fangchao Liu, Shufeng Chen, Jie Cao, Hongfan Li, Xiaoqing Liu and 8 more

Abstract read
In one paragraph

Article in Fundamental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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

18 authors.

Yuxin YangKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Xuxiang ShenKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Keyong HuangKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Hongwei LiuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Jianxin LiKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Fangchao LiuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Shufeng ChenKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Jie CaoKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Hongfan LiKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Xiaoqing LiuDivision of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou 510080, China.
Chong ShenDepartment of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Ling YuDepartment of Cardiology, Fujian Provincial Hospital, Fuzhou 350014, China.
Dongsheng HuDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Jianfeng HuangKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Tong WangDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan 030001, China.
Wenjing TianDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin 150081, China.
Dongfeng GuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Xiangfeng LuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lifestyle factors and clonal hematopoiesis of indeterminate potential (CHIP) both contribute to the risk of developing coronary artery disease (CAD), but whether a healthy lifestyle could attenuate CHIP-related CAD risk is unknown. A total of 6113 participants from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China project were included. Lifestyle was categorized as unfavorable, intermediate, and favorable according to the number of healthy lifestyle factors (body mass index, smoking, sleep, physical activity, and diet). CHIP mutations were detected by targeted deep sequencing (mean depth, 916 ×). After a median follow-up of 12.1 years, 760 cases of CAD were recorded. A favorable lifestyle and CHIP were associated with 53% lower (HR (hazard ratio) = 0.47; 95% CI (confidence interval): 0.36-0.61) and 41% higher (HR = 1.41; 95% CI: 1.17-1.72) CAD risk, respectively. Of note, the elevated CAD risk attributed to CHIP was found in the intermediate (HR = 1.48; 95% CI: 1.03-2.11) and unfavorable (HR = 1.57; 95% CI: 1.22-2.01) lifestyle groups, but not in the favorable (HR = 0.71; 95% CI: 0.36-1.42) group. Unfavorable lifestyle and CHIP jointly contributed to a 2.78-fold increased risk of CAD (95% CI: 1.95-3.97) compared with non-CHIP carriers with a favorable lifestyle, indicating a significant additive interaction between CHIP and lifestyle (RERI (relative excess risk due to interaction) = 1.08; 95% CI: 0.40-1.77). Specifically, the protective effect of lifestyle depends on the size of cell fractions, with an intermediate lifestyle mitigating CAD risk in small clone carriers (VAF (variant allele fraction): 0.5%-2%), and a favorable lifestyle being necessary for common clone carriers (VAF ≥ 2%). In summary, CHIP carriers exhibited a higher risk of CAD, while a favorable lifestyle could attenuate the excess risk related to CHIP. Efforts should be made to promote intensive behavioral interventions among CHIP carriers.

Indexed as

Clonal hematopoiesis of indeterminate potentialCoronary artery diseaseInflammatory cytokinesLifestyleSmall clones

Identifiers

PMID42846414
PMCPMC13644494

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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.