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Plasma metabolomics reveals the shared and distinct metabolic disturbances associated with cardiovascular events in coronary artery disease.
Lv, Jiali; Pan, Chang; Cai, Yuping; Han, Xinyue; Wang, Cheng; Ma, Jingjing; Pang, Jiaojiao; Xu, Feng; Wu, Shuo; Kou, Tianzhang; Ren, Fandong; Zhu, Zheng-Jiang; Zhang, Tao; Wang, Jiali; Chen, Yuguo.
Affiliation
  • Lv J; Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China.
  • Pan C; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China.
  • Cai Y; Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Han X; Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China.
  • Wang C; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China.
  • Ma J; Shandong Provincial Engineering Laboratory for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China.
  • Pang J; Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Qilu Hospital of Shandong University, Jinan, China.
  • Xu F; Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
  • Wu S; Shanghai Key Laboratory of Aging Studies, Shanghai, China.
  • Kou T; Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China.
  • Ren F; Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Qilu Hospital of Shandong University, Jinan, China.
  • Zhu ZJ; Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Zhang T; Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Wang J; National Institute of Health Data Science, Shandong University, Jinan, China.
  • Chen Y; Department of Emergency Medicine, Qilu Hospital of Shandong University, Jinan, China.
Nat Commun ; 15(1): 5729, 2024 Jul 08.
Article in En | MEDLINE | ID: mdl-38977723
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Biomarkers / Metabolomics Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Biomarkers / Metabolomics Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2024 Document type: Article Affiliation country:
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