Evidence map›Paper›PMID 31269015›Full record

ArticlePLoS computational biology2019

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

Andrea Komljenovic, Hao Li, Vincenzo Sorrentino, Zoltán Kutalik, Johan Auwerx, Marc Robinson-Rechavi

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Observational
  2. Review
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  7. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Andrea KomljenovicDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
Hao LiLaboratory of Integrative Systems Physiology, EPFL, Lausanne, Switzerland.ORCID 0000-0001-5677-3377
Vincenzo SorrentinoLaboratory of Integrative Systems Physiology, EPFL, Lausanne, Switzerland.ORCID 0000-0002-7212-370X
Zoltán KutalikSwiss Institute of Bioinformatics, Lausanne, Switzerland.ORCID 0000-0001-8285-7523
Johan AuwerxLaboratory of Integrative Systems Physiology, EPFL, Lausanne, Switzerland.
Marc Robinson-RechaviDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-3437-3329

Funding

Translational Systems Genetics of Mitochondria, Metabolism, and AgingR01AG043930 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2013 to 2017
$2.5M
NIA NIH HHS R01 AG043930
6 · The paper itself

Abstract

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.

Indexed as

ProteostasisAdultAgedAgingAnimalsCaenorhabditis elegansCaloric RestrictionComputational BiologyDrosophila melanogasterEvolution, MolecularFemaleGene Expression ProfilingGenetic MarkersHumansLongevityMaleGenetic Markers

Identifiers

PMID31269015
PMCPMC6634426

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.