Evidence map›Paper›PMID 36161583›Full record

ArticleGeroScience2023

Proteomic features of skeletal muscle adaptation to resistance exercise training as a function of age.

Colleen S Deane, Bethan E Phillips, Craig R G Willis, Daniel J Wilkinson, Ken Smith, Nahoko Higashitani, John P Williams, Nathaniel J Szewczyk, Philip J Atherton, Atsushi Higashitani and 1 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in GeroScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07018843 (Metabolic Characterisation of Critically Ill Patients), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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.

NCT07018843 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Metabolic Characterisation of Critically Ill Patients: An Observational Study Focusing on Mitochondria

TypeobservationalSponsorUniversity Hospital Southampton NHS Foundation TrustRan2025 to 2026Enrolled20ConditionsCritical Illness
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Metabolomic and proteomic applications to exercise biomedicine.Translational exercise biomedicine · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. 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

11 authors at 8 institutions in 3 countries.

Colleen S DeaneDepartment of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, St. Luke's Campus, Exeter, EX1 2LU, UK.
Bethan E PhillipsSchool of Medicine, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute for Health Research Nottingham Biomedical Research Centre, University of Nottingham, Derby, UK.
Craig R G WillisDepartment of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, USA.
Daniel J WilkinsonSchool of Medicine, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute for Health Research Nottingham Biomedical Research Centre, University of Nottingham, Derby, UK.
Ken SmithSchool of Medicine, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute for Health Research Nottingham Biomedical Research Centre, University of Nottingham, Derby, UK.
Nahoko HigashitaniGraduate School of Life Sciences, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, Miyagi, 980-8577, Japan.
John P WilliamsSchool of Medicine, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute for Health Research Nottingham Biomedical Research Centre, University of Nottingham, Derby, UK.
Nathaniel J SzewczykDepartment of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, USA.
Philip J AthertonSchool of Medicine, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute for Health Research Nottingham Biomedical Research Centre, University of Nottingham, Derby, UK.
Atsushi HigashitaniGraduate School of Life Sciences, Tohoku University, 2-1-1 Katahira, Aoba-ku, Sendai, Miyagi, 980-8577, Japan.
Timothy EtheridgeDepartment of Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, St. Luke's Campus, Exeter, EX1 2LU, UK. t.etheridge@exeter.ac.uk.
Ohio University · USTohoku University · JPVersus Arthritis · GBNational Institute for Health Research · GBNottingham Biomedical Research Centre · GBUniversity of Exeter · GBUniversity of Nottingham · GBUniversity of Southampton · GB

Funding

Biotechnology and Biological Sciences Research Council BB/C516779/1Biotechnology and Biological Sciences Research Council BB/X510697/1Medical Research Council G0801271Medical Research Council MR/P021220/1Medical Research Council MR/T026014/1
6 · The paper itself

Abstract

Resistance exercise training (RET) can counteract negative features of muscle ageing but older age associates with reduced adaptive capacity to RET. Altered muscle protein networks likely contribute to ageing RET adaptation; therefore, associated proteome-wide responses warrant exploration. We employed quantitative sarcoplasmic proteomics to compare age-related proteome and phosphoproteome responses to RET. Thigh muscle biopsies were collected from eight young (25 ± 1.1 years) and eight older (67.5 ± 2.6 years) adults before and after 20 weeks supervised RET. Muscle sarcoplasmic fractions were pooled for each condition and analysed using Isobaric Tags for Relative and Absolute Quantification (iTRAQ) labelling, tandem mass spectrometry and network-based hub protein identification. Older adults displayed impaired RET-induced adaptations in whole-body lean mass, body fat percentage and thigh lean mass (P > 0.05). iTRAQ identified 73 differentially expressed proteins with age and/or RET. Despite possible proteomic stochasticity, RET improved ageing profiles for mitochondrial function and glucose metabolism (top hub; PYK (pyruvate kinase)) but failed to correct altered ageing expression of cytoskeletal proteins (top hub; YWHAZ (14-3-3 protein zeta/delta)). These ageing RET proteomic profiles were generally unchanged or oppositely regulated post-RET in younger muscle. Similarly, RET corrected expression of 10 phosphoproteins altered in ageing, but these responses were again different vs. younger adults. Older muscle is characterised by RET-induced metabolic protein profiles that, whilst not present in younger muscle, improve untrained age-related proteomic deficits. Combined with impaired cytoskeletal adhesion responses, these results provide a proteomic framework for understanding and optimising ageing muscle RET adaptation.

Indexed as

Resistance TrainingAgedAgingHumansMuscle, SkeletalProteomeProteomicsProteomeAgeingHub proteinNetwork analysisPhosphoproteomeProteomics

Identifiers

PMID36161583
PMCPMC10400508
OpenAlexW4297229199

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.