Organ-specific biological clocks: ageotyping for personalized anti-aging medicine.

age-related diseases ageotypes biological clock cardiovascular diseases frailty inflammaging omics

Journal

Ageing research reviews
ISSN: 1872-9649
Titre abrégé: Ageing Res Rev
Pays: England
ID NLM: 101128963

Informations de publication

Date de publication:
04 Mar 2024
Historique:
received: 12 12 2023
revised: 11 02 2024
accepted: 26 02 2024
medline: 7 3 2024
pubmed: 7 3 2024
entrez: 6 3 2024
Statut: aheadofprint

Résumé

Aging is a complex multidimensional, progressive remodeling process affecting multiple organ systems. While many studies have focused on studying aging across multiple organs, assessment of the contribution of individual organs to overall aging processes is a cutting-edge issue. An organ's biological age might influence the aging of other organs, revealing a multiorgan aging network. Recent data demonstrated a similar yet asynchronous inter-organs and inter-individuals progression of aging, thereby providing a foundation to track sources of declining health in old age. The integration of multiple omics with common clinical parameters through artificial intelligence has allowed the building of organ-specific aging clocks, which can predict the development of specific age-related diseases at high resolution. The peculiar individual aging-trajectory, referred to as ageotype, might provide a novel tool for a personalized anti-aging, preventive medicine. Here, we review data relative to biological aging clocks and omics-based data, suggesting different organ-specific aging rates. Additional research on longitudinal data, including young subjects and analyzing sex-related differences, should be encouraged to apply ageotyping analysis for preventive purposes in clinical practice.

Identifiants

pubmed: 38447609
pii: S1568-1637(24)00071-0
doi: 10.1016/j.arr.2024.102253
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102253

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Francesco Prattichizzo (F)

IRCCS MultiMedica, Milan, Italy.

Chiara Frigé (C)

IRCCS MultiMedica, Milan, Italy.

Valeria Pellegrini (V)

IRCCS MultiMedica, Milan, Italy.

Lucia Scisciola (L)

Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.

Aurelia Santoro (A)

Department of Medical and Surgical Science, University of Bologna, Bologna, Italy.

Daniela Monti (D)

Department of Experimental and Clinical, Biomedical Sciences "Mario Serio" University of Florence, Florence, Italy.

Maria Rita Rippo (MR)

Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy.

Mikhail Ivanchenko (M)

Institute of Information Technologies, Mathematics and Mechanics, and Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, 603022, Russia.

Fabiola Olivieri (F)

Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy; Clinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy. Electronic address: f.olivieri@staff.univpm.it.

Claudio Franceschi (C)

Institute of Information Technologies, Mathematics and Mechanics, and Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod, 603022, Russia.

Classifications MeSH