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Cited by 489

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.

Biological Versus Chronological Aging

Open access
Hamczyk, Magda R., Nevado, Rosa M., Barettino, Ana, Fuster, Valentín, Andrés, Vicente·2020·Journal of the American College of Cardiology

Abstract

Aging is the main risk factor for vascular disease and ensuing cardiovascular and cerebrovascular events, the leading causes of death worldwide. In a progressively aging population, it is essential to develop early-life biomarkers that efficiently identify individuals who are at high risk of developing accelerated vascular damage, with the ultimate goal of improving primary prevention and reducing the health care and socioeconomic impact of age-related cardiovascular disease. Studies in experimental models and humans have identified 9 highly interconnected hallmark processes driving mammalian aging. However, strategies to extend health span and life span require understanding of interindividual differences in age-dependent functional decline, known as biological aging. This review summarizes the current knowledge on biological age biomarkers, factors influencing biological aging, and antiaging interventions, with a focus on vascular aspects of the aging process and its cardiovascular disease related manifestations.

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Metadata

Authors
Hamczyk, M. R., Nevado, R. M., Barettino, A., Fuster, V., & Andrés, V.
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2020-03
Volume
75
Issue
8
Pages
919-930
ISSN
0735-1097 (ISSN-L)
OpenAlex
W3008673946
Cited by
489
References
122
FWCI
30.45
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Biological Versus Chronological Aging. https://app.cochat.ai/papers/10.1016/j.jacc.2019.11.062
The paper
Hamczyk, M. R., Nevado, R. M., Barettino, A., Fuster, V., & Andrés, V. (2020). Biological Versus Chronological Aging. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2019.11.062

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.