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Computational and digital analyses in the INSPIRE mouse cohort to define sex-specific functional determinants of biological aging.

Authors :
Santin Y
Chiesa M
Alfonso A
Doghri Y
Kang R
Haidar F
Oreja-Fuentes P
Fousset O
Zahreddine R
Guardia M
Lemmel L
Rigamonti M
Rosati G
Florian C
Gauzin S
Guyonnet S
Rolland Y
de Souto Barreto P
Vellas B
Guiard B
Parini A
Source :
Science advances [Sci Adv] 2024 Dec 13; Vol. 10 (50), pp. eadt1670. Date of Electronic Publication: 2024 Dec 13.
Publication Year :
2024

Abstract

Biological age, which reflects the physiological state of an individual, offers a better predictive value than chronological age for age-related diseases and mortality. Nonetheless, determining accurate functional features of biological age remains challenging due to the multifactorial nature of aging. Here, we established a unique mouse cohort comprising 1576 male and female outbred SWISS mice subjected or not to high-fat, high-sucrose diet to investigate multiorgan/system biological aging throughout adulthood. Comprehensive functional and biological phenotyping at ages of 6, 12, 18, and 24 months revealed notable sex-specific disparities in longitudinal locomotion patterns and multifunctional aging parameters. Topological data analysis enabled the identification of functionally similar mouse clusters irrespective of chronological age. Moreover, our study pinpointed critical functional markers of biological aging such as muscle function, anxiety characteristics, urinary patterns, reticulocyte maturation, cardiac remodeling and function, and metabolic alterations, underscoring muscle function as an early indicator of biological age in male mice.

Details

Language :
English
ISSN :
2375-2548
Volume :
10
Issue :
50
Database :
MEDLINE
Journal :
Science advances
Publication Type :
Academic Journal
Accession number :
39671481
Full Text :
https://doi.org/10.1126/sciadv.adt1670