Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/224184
Title: Biomarkers for Personalised Primary or Secondary Prevention in Cardiovascular Diseases: A Rapid Scoping Review
Author: Babb De Villiers, Chantal
Plans-beriso, Elena
Erady, Chaitanya
Blackburn, Laura
Wilson, Hayley
Turner, Heather
Kuhn, Isla
Barahona-lópez, Cristina
Diez-echave, Paul
Romulo Hernández, Orlando
Fernández De Larrea-baz, Nerea
Petrova, Dafina
Cierco Jimenez, Ramon
Fernández-navarro, Pablo
García-esquinas, Esther
Rodríguez-artalejo, Fernando
José Sánchez, María
Moreno, Víctor
Pollán, Marina
Perez-gomez, Beatriz
Kroese, Mark
Issue Date: 24-Sep-2025
Publisher: MDPI AG
Abstract: Cardiovascular diseases (CVDs) are the leading cause of morbidity and mortality globally. Early detection and personalised prevention strategies are crucial for reducing the burden of CVD. The use of biomarkers plays a pivotal role in identifying individuals at risk and facilitating timely interventions. This rapid scoping review aims to identify and evaluate current research on biomarkers used for primary and secondary personalised prevention of CVD, highlighting evidence gaps and the integration of digital technologies. A comprehensive search was conducted in Medline and Embase databases from January 2020 to February 2023. Joanna Briggs Institute (JBI) Manual for Evidence Synthesis and PRISMA-ScR guidelines were followed. A total of 775 studies were included, with ischemic heart disease (IHD) and stroke being the most investigated CVDs. Molecular, cellular, imaging, physiological, and anthropometric biomarkers were included. Molecular biomarkers, particularly genetic and biochemical, were the most researched. For secondary prevention, there was considerable research using imaging biomarkers. Genetic biomarker research was the most frequent category of biomarker identified, particularly using variant analysis and polygenic scores, followed by biochemical, imaging, and physiological biomarkers. There was also evidence of the integration of artificial intelligence to enhance the predictive capabilities of these biomarkers. Despite progress, research gaps were identified for less common CVDs, such as aortic aneurysm and nonrheumatic valvular heart disease, and limited research investigating other molecular biomarker types, such as epigenetics and transcriptomics.
Note: Reproducció del document publicat a: https://doi.org/10.3390/ijms26199346
It is part of: International Journal of Molecular Sciences, 2025, vol. 26, issue. 19, p. 9346
URI: https://hdl.handle.net/2445/224184
Related resource: https://doi.org/10.3390/ijms26199346
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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