SYSTEMATIC REVIEW article
Front. Cardiovasc. Med.
Sec. Heart Failure and Transplantation
Volume 12 - 2025 | doi: 10.3389/fcvm.2025.1633164
Diagnostic and Prognostic Value of Circulating Biomarkers in Heart Failure
Provisionally accepted- 1Nazarbayev University National Laboratory Astana, Astana, Kazakhstan
- 2CF “University Medical Center”, Heart center, Astana, Kazakhstan
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Background. Heart failure (HF) represents a global health burden with distinct phenotypes characterized by varying left ventricular ejection fraction (LVEF). Despite shared endothelial dysfunction, heart failure with reduced (HFrEF) and preserved ejection fraction (HFpEF) exhibit fundamentally different pathophysiological mechanisms, comorbidity profiles, and treatment responses. Methods. This systematic review and meta-analysis examine inflammatory, cardiac remodelling and congestion, and myocardial injury biomarkers across HF phenotypes, integrating data from 78 studies encompassing 58076 subjects. Results. Our analysis reveals a significant elevation of IL-6, TNF-alpha, and hs-CRP in HF compared to controls, with distinct biomarker profiles emerging between phenotypes. While inflammatory markers universally increase with disease severity, their utility in phenotypic differentiation remains limited due to substantial overlap. Comorbidity burden significantly influences inflammatory profiles, creating diagnostic challenges that multi-biomarker approaches may address. NT-proBNP, sST2, GDF-15, and cardiac troponins demonstrate complementary value when combined with inflammatory markers, potentially enabling more precise phenotypic classification. Conclusion. Our findings highlight the central role of inflammation in HF pathophysiology while identifying critical knowledge gaps, particularly regarding HFpEF-specific inflammatory signatures. This comprehensive analysis provides a foundation for developing targeted immunomodulatory therapies and personalized diagnostic approaches in heart failure management.
Keywords: Heart Failure, biomarker, Meta-analysis, Inflammation, comorbidities
Received: 26 May 2025; Accepted: 08 Sep 2025.
Copyright: © 2025 Kovenskiy, Mukhatayev, Sailybayeva, Bekbossynova and Kushugulova. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Artur Kovenskiy, Nazarbayev University National Laboratory Astana, Astana, Kazakhstan
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