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

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 co...

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Main Authors: Andrea Komljenovic, Hao Li, Vincenzo Sorrentino, Zoltán Kutalik, Johan Auwerx, Marc Robinson-Rechavi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-07-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1007162
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spelling doaj-9f35f1687c684456a4c4e99bcfc3af752021-04-21T15:38:25ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582019-07-01157e100716210.1371/journal.pcbi.1007162Cross-species functional modules link proteostasis to human normal aging.Andrea KomljenovicHao LiVincenzo SorrentinoZoltán KutalikJohan AuwerxMarc Robinson-RechaviThe 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.https://doi.org/10.1371/journal.pcbi.1007162
collection DOAJ
language English
format Article
sources DOAJ
author Andrea Komljenovic
Hao Li
Vincenzo Sorrentino
Zoltán Kutalik
Johan Auwerx
Marc Robinson-Rechavi
spellingShingle Andrea Komljenovic
Hao Li
Vincenzo Sorrentino
Zoltán Kutalik
Johan Auwerx
Marc Robinson-Rechavi
Cross-species functional modules link proteostasis to human normal aging.
PLoS Computational Biology
author_facet Andrea Komljenovic
Hao Li
Vincenzo Sorrentino
Zoltán Kutalik
Johan Auwerx
Marc Robinson-Rechavi
author_sort Andrea Komljenovic
title Cross-species functional modules link proteostasis to human normal aging.
title_short Cross-species functional modules link proteostasis to human normal aging.
title_full Cross-species functional modules link proteostasis to human normal aging.
title_fullStr Cross-species functional modules link proteostasis to human normal aging.
title_full_unstemmed Cross-species functional modules link proteostasis to human normal aging.
title_sort cross-species functional modules link proteostasis to human normal aging.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2019-07-01
description 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.
url https://doi.org/10.1371/journal.pcbi.1007162
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