Cross-species functional modules link proteostasis to human normal aging.

Détails

ID Serval
serval:BIB_DB3E6C72F674
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Cross-species functional modules link proteostasis to human normal aging.
Périodique
PLoS computational biology
Auteur(s)
Komljenovic A., Li H., Sorrentino V., Kutalik Z., Auwerx J., Robinson-Rechavi M.
ISSN
1553-7358 (Electronic)
ISSN-L
1553-734X
Statut éditorial
Publié
Date de publication
07/2019
Peer-reviewed
Oui
Volume
15
Numéro
7
Pages
e1007162
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
The evolutionarily conserved nature of the few well-known anti-aging interventions that affect lifespan, such as caloric restriction, suggests that aging-related research in model organisms is directly relevant to human aging. Since human lifespan is a complex trait, a systems-level approach will contribute to a more comprehensive understanding of the underlying aging landscape. Here, we integrate evolutionary and functional information of normal aging across human and model organisms at three levels: gene-level, process-level, and network-level. We identify evolutionarily conserved modules of normal aging across diverse taxa, and notably show proteostasis to be conserved in normal aging. Additionally, we find that mechanisms related to protein quality control network are enriched for genes harboring genetic variants associated with 22 age-related human traits and associated to caloric restriction. These results demonstrate that a systems-level approach, combined with evolutionary conservation, allows the detection of candidate aging genes and pathways relevant to human normal aging.
Mots-clé
Ecology, Modelling and Simulation, Computational Theory and Mathematics, Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Cellular and Molecular Neuroscience
Pubmed
Open Access
Oui
Création de la notice
04/07/2019 12:10
Dernière modification de la notice
20/08/2019 16:00
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