Plasma metabolomics reveals the shared and distinct metabolic disturbances associated with cardiovascular events in coronary artery disease

Jiali Lv, Chang Pan, Yuping Cai, Xinyue Han, Cheng Wang, Jingjing Ma, Jiaojiao Pang, Feng Xu, Shuo Wu, Tianzhang Kou, Fandong Ren, Zheng-Jiang Zhu (), Tao Zhang (), Jiali Wang () and Yuguo Chen ()
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Jiali Lv: Qilu Hospital of Shandong University
Chang Pan: Qilu Hospital of Shandong University
Yuping Cai: Chinese Academy of Sciences
Xinyue Han: Qilu Hospital of Shandong University
Cheng Wang: Shandong University
Jingjing Ma: Qilu Hospital of Shandong University
Jiaojiao Pang: Qilu Hospital of Shandong University
Feng Xu: Qilu Hospital of Shandong University
Shuo Wu: Qilu Hospital of Shandong University
Tianzhang Kou: Chinese Academy of Sciences
Fandong Ren: Chinese Academy of Sciences
Zheng-Jiang Zhu: Chinese Academy of Sciences
Tao Zhang: Qilu Hospital of Shandong University
Jiali Wang: Qilu Hospital of Shandong University
Yuguo Chen: Qilu Hospital of Shandong University

Nature Communications, 2024, vol. 15, issue 1, 1-13

Abstract: Abstract Risk prediction for subsequent cardiovascular events remains an unmet clinical issue in patients with coronary artery disease. We aimed to investigate prognostic metabolic biomarkers by considering both shared and distinct metabolic disturbance associated with the composite and individual cardiovascular events. Here, we conducted an untargeted metabolomics analysis for 333 incident cardiovascular events and 333 matched controls. The cardiovascular events were designated as cardiovascular death, myocardial infarction/stroke and heart failure. A total of 23 shared differential metabolites were associated with the composite of cardiovascular events. The majority were middle and long chain acylcarnitines. Distinct metabolic patterns for individual events were revealed, and glycerophospholipids alteration was specific to heart failure. Notably, the addition of metabolites to clinical markers significantly improved heart failure risk prediction. This study highlights the potential significance of plasma metabolites on tailed risk assessment of cardiovascular events, and strengthens the understanding of the heterogenic mechanisms across different events.

Date: 2024
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DOI: 10.1038/s41467-024-50125-2

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