Evidence map›Paper›PMID 41102544›Full record

ArticleJournal of cardiovascular translational research2025

CCL17 as an Inflammatory Biomarker Enhances Cardiovascular Risk Stratification: a Prospective Cohort Study.

Zeyuan Wang, Xiaoyu Ren, Yang Lu, Jingli Yang, Jiabo Wu, Yan Zhang, Yang Zhang, Zhuang Tian, Shuyang Zhang

Abstract read
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In one paragraph

Article in Journal of cardiovascular translational research, 2025. 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

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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Zeyuan Wang *Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Xiaoyu Ren *Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Yang Lu *Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Jingli Yang *Institute of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Jiabo WuDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Yan ZhangInstitute of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Yang ZhangDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China. zhang.yang@zs-hospital.cn.
Zhuang TianDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China. tianzhuangcn@sina.com.ORCID 0000-0003-1140-4062
Shuyang ZhangDepartment of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China. shuyangzhang103@163.com.

Funding

Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences 2021-I2M-1-003Fundamental Research Funds for the Central Universities 3332024124National High Level Hospital Clinical Research Funding 2022-PUMCH-D-002National Key Research and Development Program of China 2023YFC3606500National Natural Science Foundation of China 824B2011Science, Technology & Innovation Project of Xiongan New Area 2023XAGG0069Special Clinical Research on Health Industry of Shanghai Municipal Health Commission 20244Y0022
6 · The paper itself

Abstract

Inflammation is a key contributor to cardiovascular disease (CVD), yet existing risk models such as Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) and Pooled Cohort Equations (PCE) inadequately identify individuals at intermediate risk. We investigated whether incorporating the inflammatory chemokine CCL17 could improve cardiovascular risk prediction. In two prospective cohorts-the Shunyi Cohort (n = 706, China) and the UK Biobank (n = 36,097, UK)-baseline CCL17 levels were quantified, and major adverse cardiovascular events (MACEs) were tracked over follow-up. Elevated CCL17 levels were independently associated with increased risk of MACEs. Integrating CCL17 into existing models significantly improved discrimination and reclassification, particularly among intermediate-risk individuals (e.g., NRI: 15.1% in Shunyi; 3.0% in UK Biobank). This biomarker-based refinement enabled earlier identification of clinically significant high-risk individuals. These findings suggest that CCL17 is a promising translational biomarker that may enhance precision prevention by augmenting current cardiovascular risk assessment strategies.

Indexed as

Cardiovascular DiseasesChemokine CCL17InflammationInflammation MediatorsAgedBiomarkersChinaFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesRisk AssessmentBiomarkersCCL17 protein, humanChemokine CCL17Inflammation MediatorsBiomarkerCCL17Intermediate-risk stratificationMajor adverse cardiovascular eventsPrevention

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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.