Evidence map›Paper›PMID 32580166›Full record

ArticleAging2020

Untargeted metabolomics for uncovering biological markers of human skeletal muscle ageing.

Daniel J Wilkinson, Giovanny Rodriguez-Blanco, Warwick B Dunn, Bethan E Phillips, John P Williams, Paul L Greenhaff, Kenneth Smith, Iain J Gallagher, Philip J Atherton

Abstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Applications of metabolomics in cow health assessment.Metabolomics : Official journal of the Metabolomic Society · 2025
    Review
  6. A Single-Cell Metabolic Profiling Characterizes Human Aging via SlipChip-SERS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Metabolomics in aging research: aging markers from organs.Frontiers in cell and developmental biology · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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

9 authors.

Daniel J WilkinsonMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham, UK.
Giovanny Rodriguez-BlancoMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham, UK.
Warwick B DunnMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham, UK.
Bethan E PhillipsMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham, UK.
John P WilliamsSchool of Medicine, University of Nottingham, Royal Derby Hospital Centre, Derby, UK.
Paul L GreenhaffMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham, UK.
Kenneth SmithMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham, UK.
Iain J GallagherUniversity of Stirling, Faculty of Health Sciences and Sport, Stirling, UK.
Philip J AthertonMRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/C516779/1Medical Research Council MR/K00414X/1Medical Research Council MR/M009157/1Medical Research Council MR/P021220/1
6 · The paper itself

Abstract

Ageing compromises skeletal muscle mass and function through poorly defined molecular aetiology. Here we have used untargeted metabolomics using UHPLC-MS to profile muscle tissue from young (

Indexed as

AdultAgedAgingAlgorithmsBiomarkersFemaleHumansMachine LearningMaleMetabolomeMetabolomicsMiddle AgedMuscle, SkeletalYoung AdultBiomarkersagingmarkersmetabolomicsmuscle

Identifiers

PMID32580166
PMCPMC7377844

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.