From acute diagnosis to longitudinal risk stratification: a paradigm shift in the clinical role of cardiac biomarkers

This perspective examines the evolving role of cardiac biomarkers from acute diagnostic tools to integral components of longitudinal risk stratification and cardiovascular disease management. Evidence from cohort studies, clinical trials, and high-sensitivity assays demonstrates that biomarkers reflecting myocardial injury, hemodynamic stress, inflammation, fibrosis, and metabolic dysfunction can inform prevention, early detection, acute care, and chronic monitoring. Key implementation strategies include multi-biomarker panels, serial measurements, multi-omics integration, and artificial intelligence-based risk modeling. Challenges such as assay standardization, clinical interpretation, and cost-effectiveness are critically evaluated. Overall, this framework highlights the potential for biomarker-guided approaches to promote more preventive, precise, and patient-centered cardiovascular care.

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Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2026-03-13
DOI
https://doi.org/10.3389/fcvm.2026.1778456
Primary Topic
IL-33, ST2, and ILC Pathways
Type
article
Field-Weighted Citation Impact
0.00
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article

From acute diagnosis to longitudinal risk stratification: a paradigm shift in the clinical role of cardiac biomarkers

Jie Zhou, Xi Li, Yue Zheng, Hong Zheng et al.
Frontiers in Cardiovascular Medicine
IL-33, ST2, and ILC Pathways
article

From acute diagnosis to longitudinal risk stratification: a paradigm shift in the clinical role of cardiac biomarkers

Jie Zhou, Xi Li, Yue Zheng, Hong Zheng, Hong-Tao Liu, Guang-Ling Ji, Li-Jiao Guo
article en

Abstract

This perspective examines the evolving role of cardiac biomarkers from acute diagnostic tools to integral components of longitudinal risk stratification and cardiovascular disease management. Evidence from cohort studies, clinical trials, and high-sensitivity assays demonstrates that biomarkers reflecting myocardial injury, hemodynamic stress, inflammation, fibrosis, and metabolic dysfunction can inform prevention, early detection, acute care, and chronic monitoring. Key implementation strategies include multi-biomarker panels, serial measurements, multi-omics integration, and artificial intelligence-based risk modeling. Challenges such as assay standardization, clinical interpretation, and cost-effectiveness are critically evaluated. Overall, this framework highlights the potential for biomarker-guided approaches to promote more preventive, precise, and patient-centered cardiovascular care.

Frontiers in Cardiovascular MedicineVol. 13
Jilin University (CN), First Hospital of Jilin University (CN), Changchun University of Chinese Medicine (CN), The Affiliated Hospital to Changchun University of Chinese Medicine (CN), Second Affiliated Hospital of Jilin University (CN), Jilin Academy of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 22%
IL-33, ST2, and ILC Pathways
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