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

Journal: Ageing research reviews
PMID:

Abstract

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.

Authors

  • Francesco Prattichizzo
    IRCCS MultiMedica, Milan, Italy.
  • Chiara Frigé
    IRCCS MultiMedica, Milan, Italy.
  • Valeria Pellegrini
    IRCCS MultiMedica, Milan, Italy.
  • Lucia Scisciola
    Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
  • Aurelia Santoro
    Department of Medical and Surgical Science, University of Bologna, Bologna, Italy.
  • Daniela Monti
    Department of Experimental Clinical and Biomedical Sciences, Mario Serio, University of Florence, Florence, Italy.
  • Maria Rita Rippo
    Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy.
  • Mikhail Ivanchenko
    Institute of Information Technology, Mathematics and Mechanics, National Research Lobachevsky State University of Nizhniy Novgorod, Nizhniy Novgorod, Russia.
  • Fabiola Olivieri
    Department of Clinical and Molecular Sciences, DISCLIMO, Polytechnical University of Marche, 60121 Ancona, Italy.
  • Claudio Franceschi
    Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky University, Nizhny, Russia.