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

Andrea Komljenovic1,2, Hao Li3, Vincenzo Sorrentino3

  • 1Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.

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Summary
This summary is machine-generated.

Aging research in model organisms offers insights into human aging. A systems-level approach reveals conserved aging pathways, like proteostasis, and identifies potential targets for healthy human aging.

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Area of Science:

  • Gerontology
  • Evolutionary Biology
  • Systems Biology

Background:

  • Aging is a complex trait influenced by conserved evolutionary mechanisms.
  • Research in model organisms is relevant to understanding human aging processes.
  • A systems-level perspective is crucial for a comprehensive view of aging.

Purpose of the Study:

  • To integrate evolutionary and functional data on normal aging across species.
  • To identify conserved aging modules at gene, process, and network levels.
  • To detect candidate genes and pathways relevant to human aging.

Main Methods:

  • Comparative analysis of aging across human and model organisms.
  • Integration of evolutionary and functional information.
  • Gene, process, and network-level analysis.

Main Results:

  • Identified evolutionarily conserved modules of normal aging across diverse taxa.
  • Proteostasis was found to be a conserved mechanism in normal aging.
  • Protein quality control networks are enriched for genes linked to age-related human traits and caloric restriction.

Conclusions:

  • A systems-level approach combined with evolutionary conservation aids in discovering aging genes and pathways.
  • Conserved mechanisms like proteostasis are key to understanding normal aging.
  • Findings highlight potential targets for interventions related to human aging.