Evidence map›Paper›PMID 42337069›Full record

ArticleMolecular systems biology2026

Quantitative interactome mapping of skeletal muscle insulin resistance.

Yaan-Kit Ng, Ronnie Blazev, Julian P H Wong, Nichollas E Scott, Jeffrey Molendijk, Benjamin L Parker

Abstract read
In one paragraph

Article in Molecular systems biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yaan-Kit NgDepartment of Anatomy & Physiology, The University of Melbourne, Melbourne, VIC, Australia.
Ronnie BlazevDepartment of Anatomy & Physiology, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-2509-3907
Julian P H WongDepartment of Anatomy & Physiology, The University of Melbourne, Melbourne, VIC, Australia.
Nichollas E ScottDepartment of Microbiology & Immunology, The University of Melbourne, Melbourne, VIC, Australia.
Jeffrey MolendijkDepartment of Anatomy & Physiology, The University of Melbourne, Melbourne, VIC, Australia.
Benjamin L ParkerDepartment of Anatomy & Physiology, The University of Melbourne, Melbourne, VIC, Australia. ben.parker@unimelb.edu.au.ORCID http://orcid.org/0000-0003-1818-2183

Funding

Department of Education and Training | Australian Research Council (ARC) DP250100201DHAC | National Health and Medical Research Council (NHMRC) APP2009642
6 · The paper itself

Abstract

Protein-protein interactions (PPIs) are dynamic and critical to adaptive homeostasis. While there have been massive efforts to catalogue proteome-wide PPIs, global quantification of changes remains a challenge. Here, we integrate dynamic protein correlation profiling - mass spectrometry (PCP-MS) and quantitative cross linking-mass spectrometry (qXL-MS) using multiplexed stable isotope labelling to characterise global PPI remodelling following the development of chronic skeletal muscle insulin resistance (IR) with or without acute insulin stimulation. We quantify >7,000 unique PPIs amongst 5,346 proteins and show changes in the interactome network dominate the proteome response. Our data show the dysregulation of protein processing in the endoplasmic/sarcoplasmic reticulum involving changes in PPIs with protein chaperones and disulfide isomerases is a major hallmark of skeletal muscle IR. Mechanistically, we show the dysregulation of PPIs with Protein-Disulfide Isomerase 6 (PDIA6) regulates cysteine oxidation and insulin sensitivity. Taken together, we show in vivo quantitative interactome mapping is a powerful approach to understand disease mechanisms and provide new insights into protein network re-organisations with IR.

Indexed as

Insulin ResistanceMuscle, SkeletalProtein Interaction MappingProtein Interaction MapsAnimalsEndoplasmic ReticulumInsulinIsotope LabelingMass SpectrometryMiceProtein Disulfide-IsomerasesProteomeProteomicsSarcoplasmic ReticulumInsulinProtein Disulfide-IsomerasesProteome

Identifiers

PMID42337069
PMCPMC13538405

What Socratic holds

Textmetadata
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.