Computational and digital analyses in the INSPIRE mouse cohort to define sex-specific functional determinants of biological aging - Archive ouverte HAL
Article Dans Une Revue Science Advances Année : 2024

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

Yohan Santin
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Mattia Chiesa
Amélie Alfonso
Yosra Doghri
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Ryeonshi Kang
Fraha Haidar
Pilar Oreja-Fuentes
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Occiane Fousset
Rana Zahreddine
Mégane Guardia
Lucas Lemmel
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Mara Rigamonti
Giorgio Rosati
Sébastien Gauzin
Sophie Guyonnet
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Yves Rolland
Philipe de Souto Barreto
Bruno Vellas
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Bruno Guiard
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Angelo Parini
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Résumé

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.
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Dates et versions

hal-04838205 , version 1 (14-12-2024)

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Yohan Santin, Mattia Chiesa, Amélie Alfonso, Yosra Doghri, Ryeonshi Kang, et al.. Computational and digital analyses in the INSPIRE mouse cohort to define sex-specific functional determinants of biological aging. Science Advances , 2024, 10 (50), ⟨10.1126/sciadv.adt1670⟩. ⟨hal-04838205⟩
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