Evidence map›Paper›PMID 28698311›Full record

ReviewEssays in biochemistry2017

Proteomics and metabolomics in ageing research: from biomarkers to systems biology.

Jessica M Hoffman, Yang Lyu, Scott D Pletcher, Daniel E L Promislow

Abstract readReview
In one paragraph

Review in Essays in biochemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% of its field
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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Metabolomic Profiling ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Phenotypic and metabonomics studies of FMOs in C. elegans and their roles in lifespan extension.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  5. Observational
  6. Review
  7. Robust Metabolomic Age Prediction Based on a Wide Selection of Metabolites.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  8. Article
  9. Article
  10. Natural variation in age-related dopamine neuron degeneration is glutathione dependent and linked to life span.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review
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

4 authors at 1 institution in 1 country.

Jessica M HoffmanDepartment of Biology, University of Alabama at Birmingham, 1300 University Blvd CH464, Birmingham, AL 35294, U.S.A.
Yang LyuDepartment of Molecular and Integrative Physiology and Geriatrics Center, Biomedical Sciences and Research Building, University of Michigan, Ann Arbor, MI 48109, U.S.A.
Scott D PletcherDepartment of Molecular and Integrative Physiology and Geriatrics Center, Biomedical Sciences and Research Building, University of Michigan, Ann Arbor, MI 48109, U.S.A.
Daniel E L PromislowDepartment of Pathology, University of Washington, Box 357705, 1959 NE Pacific Street, Seattle, Washington 98195, U.S.A. promislo@uw.edu.
University of Washington · US

Funding

Modulation of aging by Sensory PerceptionR01AG030593 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PLETCHER, SCOTT · 2007 to 2025
$6.1M
Modulation of aging through mechanisms of nutrient demand and rewardR37AG051649 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCOTT PLETCHER · 2021 to 2026
$2.3M
Metabolome-Genome Associations for Determining Mechanisms of Aging in DrosophilaR01AG049494 · NIA · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD · 2015 to 2019
$1.8M
Modulation of aging through mechanisms of nutrient demand and rewardR01AG051649 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PLETCHER, SCOTT · 2016 to 2020
$1.6M
Molecular mechanisms and genetic architecture of sexual attractiveness.R01GM102279 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PLETCHER, SCOTT, PROMISLOW, DANIEL EDWARD · 2013 to 2016
$1.2M
Using metabolomics to identify mechanisms of natural variation in agingR56AG049494 · NIA · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD, VILLEN, JUDIT · 2022 to 2022
$319k
Multi-group covariance estimation for metabolomic analysis with applications to neurodegenerative diseaseR03CA211160 · NCI · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD, SHOJAIE, ALI · 2016 to 2016
$145k
NCI NIH HHS R03 CA211160NIA NIH HHS R01 AG030593NIA NIH HHS R01 AG049494NIA NIH HHS R01 AG051649NIA NIH HHS R37 AG051649NIA NIH HHS R56 AG049494NIGMS NIH HHS R01 GM102279
6 · The paper itself

Abstract

Age is the single greatest risk factor for a wide range of diseases, and as the mean age of human populations grows steadily older, the impact of this risk factor grows as well. Laboratory studies on the basic biology of ageing have shed light on numerous genetic pathways that have strong effects on lifespan. However, we still do not know the degree to which the pathways that affect ageing in the lab also influence variation in rates of ageing and age-related disease in human populations. Similarly, despite considerable effort, we have yet to identify reliable and reproducible 'biomarkers', which are predictors of one's biological as opposed to chronological age. One challenge lies in the enormous mechanistic distance between genotype and downstream ageing phenotypes. Here, we consider the power of studying 'endophenotypes' in the context of ageing. Endophenotypes are the various molecular domains that exist at intermediate levels of organization between the genotype and phenotype. We focus our attention specifically on proteins and metabolites. Proteomic and metabolomic profiling has the potential to help identify the underlying causal mechanisms that link genotype to phenotype. We present a brief review of proteomics and metabolomics in ageing research with a focus on the potential of a systems biology and network-centric perspective in geroscience. While network analyses to study ageing utilizing proteomics and metabolomics are in their infancy, they may be the powerful model needed to discover underlying biological processes that influence natural variation in ageing, age-related disease, and longevity.

Indexed as

AgingAnimalsBiomarkersHumansMetabolomicsProteomicsSystems BiologyBiomarkersageingbiological networksmetabolomicsproteomicssystems biology

Identifiers

PMID28698311
PMCPMC5743054
OpenAlexW2735761770

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.