Evidence map›Paper›PMID 38329473›Full record

ArticleeLife2024

The genetic and dietary landscape of the muscle insulin signalling network.

Julian van Gerwen, Stewart W C Masson, Harry B Cutler, Alexis Diaz Vegas, Meg Potter, Jacqueline Stöckli, Søren Madsen, Marin E Nelson, Sean J Humphrey, David E James

Open access · goldAbstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Sex-specific phosphoproteome responses to calorie restriction and insulin in skeletal muscle from older rats.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  4. Article
  5. The insulin signalling network.Nature metabolism · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

10 authors at 1 institution in 2 countries.

Julian van GerwenCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-8093-0704
Stewart W C MassonCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0003-4514-7009
Harry B CutlerCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-2074-8599
Alexis Diaz VegasCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia.
Meg PotterCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia.
Jacqueline StöckliCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia.
Søren MadsenCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia.
Marin E NelsonCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia.
Sean J HumphreyCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-2666-9744
David E JamesCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0001-5946-5257
The University of Sydney · AU

Funding

Australian Research Council ARC Laureate Fellowship
6 · The paper itself

Abstract

Metabolic disease is caused by a combination of genetic and environmental factors, yet few studies have examined how these factors influence signal transduction, a key mediator of metabolism. Using mass spectrometry-based phosphoproteomics, we quantified 23,126 phosphosites in skeletal muscle of five genetically distinct mouse strains in two dietary environments, with and without acute in vivo insulin stimulation. Almost half of the insulin-regulated phosphoproteome was modified by genetic background on an ordinary diet, and high-fat high-sugar feeding affected insulin signalling in a strain-dependent manner. Our data revealed coregulated subnetworks within the insulin signalling pathway, expanding our understanding of the pathway's organisation. Furthermore, associating diverse signalling responses with insulin-stimulated glucose uptake uncovered regulators of muscle insulin responsiveness, including the regulatory phosphosite S469 on Pfkfb2, a key activator of glycolysis. Finally, we confirmed the role of glycolysis in modulating insulin action in insulin resistance. Our results underscore the significance of genetics in shaping global signalling responses and their adaptability to environmental changes, emphasising the utility of studying biological diversity with phosphoproteomics to discover key regulatory mechanisms of complex traits.

Indexed as

HyperinsulinismInsulin ResistanceAnimalsDietInsulinMiceMuscle, SkeletalSignal TransductionInsulincomputational biologygeneticsinsulin resistancemass spectrometrymetabolismmousephosphoproteomicsratsignallingsystems biology

Identifiers

PMID38329473
PMCPMC10942587
OpenAlexW4386646129

What Socratic 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 Socratic graph.