Advancements in Biomarkers for Early Detection and Risk Stratification of Cardiovascular Diseases—A Literature Review

The advancement of cardiovascular biomarkers has significantly enhanced early detection, risk stratification, and personalized treatment. Emerging biomarkers, including genetic variants, metabolomics, microRNAs, and imaging-based markers, provide deeper insights into disease mechanisms. Integrating multi-omic approaches with artificial intelligence may further refine predictive accuracy and therapeutic decision-making. However, clinical translation requires rigorous validation through large-scale, multicenter studies to ensure reliability and applicability across diverse populations. Standardization, cost-effectiveness assessments, and the development of biomarker panels are essential for clinical adoption. Future research should focus on bridging discovery and implementation, advancing precision medicine to improve cardiovascular outcomes.

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Publication Details

Journal
Health Science Reports
Published
2025-05-01
DOI
https://doi.org/10.1002/hsr2.70878
Citations
16
Primary Topic
GDF15 and Related Biomarkers
Type
article
Field-Weighted Citation Impact
26.69
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article

Advancements in Biomarkers for Early Detection and Risk Stratification of Cardiovascular Diseases—A Literature Review

Abubakar Nazir, Safi ur Rehman Sadiq, Syed Zawahir Hassan, Muhammad Shah Wali Jamal et al.
16 citations
Health Science Reports
GDF15 and Related Biomarkers
26.69
article

Advancements in Biomarkers for Early Detection and Risk Stratification of Cardiovascular Diseases—A Literature Review

Abubakar Nazir, Safi ur Rehman Sadiq, Syed Zawahir Hassan, Muhammad Shah Wali Jamal, Usama Afzaal, Awais Nazir, Ozo Akah, Shafaq Aman
article en
16 citations

Abstract

The advancement of cardiovascular biomarkers has significantly enhanced early detection, risk stratification, and personalized treatment. Emerging biomarkers, including genetic variants, metabolomics, microRNAs, and imaging-based markers, provide deeper insights into disease mechanisms. Integrating multi-omic approaches with artificial intelligence may further refine predictive accuracy and therapeutic decision-making. However, clinical translation requires rigorous validation through large-scale, multicenter studies to ensure reliability and applicability across diverse populations. Standardization, cost-effectiveness assessments, and the development of biomarker panels are essential for clinical adoption. Future research should focus on bridging discovery and implementation, advancing precision medicine to improve cardiovascular outcomes.

Health Science ReportsVol. 8(5)
Houston Methodist (US), King Edward Medical University (PK), Rwanda Meteorological Service (RW), St John of God Hospital (AU)
Good health and well-being
Openalex Percentile: Top 0%
GDF15 and Related Biomarkers
26.69
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