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Cross-species functional modules link proteostasis to human normal aging

  • Andrea Komljenovic
  • , Hao Li
  • , Vincenzo Sorrentino
  • , Zoltán Kutalik
  • , Johan Auwerx
  • , Marc Robinson-Rechavi
  • University of Lausanne
  • Swiss Institute of Bioinformatics
  • Swiss Federal Institute of Technology Lausanne

科研成果: 期刊稿件文章同行评审

13 引用 (Scopus)

摘要

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.

源语言英语
文章编号e1007162
期刊PLoS Computational Biology
15
7
DOI
出版状态已出版 - 7月 2019
已对外发布

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