Journal Article (Review Article)

DZNE-2024-01025

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Animal Models Relevant for Geroscience: Current Trends and Future Perspectives in Biomarkers, and Measures of Biological Aging.

Bartolomucci, A. ; Kane, A. E. ; Gaydosh, L. ; Razzoli, M. ; McCoy, B. M. ; Ehninger, D.DZNE* ; Chen, B. H. ; Howlett, S. E. ; Snyder-Mackler, N.

2024
Oxford Univ. Pr. Oxford [u.a.]

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Please use a persistent id in citations: doi:10.1093/gerona/glae135

Abstract: For centuries, aging was considered inevitable and immutable. Geroscience provides the conceptual framework to shift this focus toward a new view that regards aging as an active biological process, and the biological age of an individual as a modifiable entity. Significant steps forward have been made toward the identification of biomarkers for and measures of biological age, yet knowledge gaps in geroscience are still numerous. Animal models of aging are the focus of this perspective, which discusses how experimental design can be optimized to inform and refine the development of translationally relevant measures and biomarkers of biological age. We provide recommendations to the field, including: the design of longitudinal studies in which subjects are deeply phenotyped via repeated multilevel behavioral/social/molecular assays; the need to consider sociobehavioral variables relevant for the species studied; and finally, the importance of assessing age of onset, severity of pathologies, and age-at-death. We highlight approaches to integrate biomarkers and measures of functional impairment using machine learning approaches designed to estimate biological age as well as to predict future health declines and mortality. We expect that advances in animal models of aging will be crucial for the future of translational geroscience but also for the next chapter of medicine.

Keyword(s): Biomarkers (MeSH) ; Animals (MeSH) ; Aging: physiology (MeSH) ; Models, Animal (MeSH) ; Geroscience (MeSH) ; Humans (MeSH) ; Animal model ; Biomarkers ; Frailty ; Senescence ; Biomarkers

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Contributing Institute(s):

1. Translational Biogerontology (AG Ehninger)

Research Program(s):

1. 352 - Disease Mechanisms (POF4-352) (POF4-352)

Appears in the scientific report 2024

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Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Current Contents - Social and Behavioral Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; Nationallizenz ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Social Sciences Citation Index ; Web of Science Core Collection

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