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Leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance

Systems genetics has begun to tackle the complexity of insulin resistance by capitalising on computational advances to study high-diversity populations. ‘Diversity Outbred in Australia (DOz)’ is a population of genetically unique mice with profound metabolic heterogeneity. We leveraged this variance...

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Autores principales: Masson, Stewart WC, Madsen, Søren, Cooke, Kristen C, Potter, Meg, Vegas, Alexis Diaz, Carroll, Luke, Thillainadesan, Senthil, Cutler, Harry B, Walder, Ken R, Cooney, Gregory J, Morahan, Grant, Stöckli, Jacqueline, James, David E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371229/
https://www.ncbi.nlm.nih.gov/pubmed/37494090
http://dx.doi.org/10.7554/eLife.86961
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author Masson, Stewart WC
Madsen, Søren
Cooke, Kristen C
Potter, Meg
Vegas, Alexis Diaz
Carroll, Luke
Thillainadesan, Senthil
Cutler, Harry B
Walder, Ken R
Cooney, Gregory J
Morahan, Grant
Stöckli, Jacqueline
James, David E
author_facet Masson, Stewart WC
Madsen, Søren
Cooke, Kristen C
Potter, Meg
Vegas, Alexis Diaz
Carroll, Luke
Thillainadesan, Senthil
Cutler, Harry B
Walder, Ken R
Cooney, Gregory J
Morahan, Grant
Stöckli, Jacqueline
James, David E
author_sort Masson, Stewart WC
collection PubMed
description Systems genetics has begun to tackle the complexity of insulin resistance by capitalising on computational advances to study high-diversity populations. ‘Diversity Outbred in Australia (DOz)’ is a population of genetically unique mice with profound metabolic heterogeneity. We leveraged this variance to explore skeletal muscle’s contribution to whole-body insulin action through metabolic phenotyping and skeletal muscle proteomics of 215 DOz mice. Linear modelling identified 553 proteins that associated with whole-body insulin sensitivity (Matsuda Index) including regulators of endocytosis and muscle proteostasis. To enrich for causality, we refined this network by focusing on negatively associated, genetically regulated proteins, resulting in a 76-protein fingerprint of insulin resistance. We sought to perturb this network and restore insulin action with small molecules by integrating the Broad Institute Connectivity Map platform and in vitro assays of insulin action using the Prestwick chemical library. These complementary approaches identified the antibiotic thiostrepton as an insulin resistance reversal agent. Subsequent validation in ex vivo insulin-resistant mouse muscle and palmitate-induced insulin-resistant myotubes demonstrated potent insulin action restoration, potentially via upregulation of glycolysis. This work demonstrates the value of a drug-centric framework to validate systems-level analysis by identifying potential therapeutics for insulin resistance.
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spelling pubmed-103712292023-07-27 Leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance Masson, Stewart WC Madsen, Søren Cooke, Kristen C Potter, Meg Vegas, Alexis Diaz Carroll, Luke Thillainadesan, Senthil Cutler, Harry B Walder, Ken R Cooney, Gregory J Morahan, Grant Stöckli, Jacqueline James, David E eLife Computational and Systems Biology Systems genetics has begun to tackle the complexity of insulin resistance by capitalising on computational advances to study high-diversity populations. ‘Diversity Outbred in Australia (DOz)’ is a population of genetically unique mice with profound metabolic heterogeneity. We leveraged this variance to explore skeletal muscle’s contribution to whole-body insulin action through metabolic phenotyping and skeletal muscle proteomics of 215 DOz mice. Linear modelling identified 553 proteins that associated with whole-body insulin sensitivity (Matsuda Index) including regulators of endocytosis and muscle proteostasis. To enrich for causality, we refined this network by focusing on negatively associated, genetically regulated proteins, resulting in a 76-protein fingerprint of insulin resistance. We sought to perturb this network and restore insulin action with small molecules by integrating the Broad Institute Connectivity Map platform and in vitro assays of insulin action using the Prestwick chemical library. These complementary approaches identified the antibiotic thiostrepton as an insulin resistance reversal agent. Subsequent validation in ex vivo insulin-resistant mouse muscle and palmitate-induced insulin-resistant myotubes demonstrated potent insulin action restoration, potentially via upregulation of glycolysis. This work demonstrates the value of a drug-centric framework to validate systems-level analysis by identifying potential therapeutics for insulin resistance. eLife Sciences Publications, Ltd 2023-07-26 /pmc/articles/PMC10371229/ /pubmed/37494090 http://dx.doi.org/10.7554/eLife.86961 Text en © 2023, Masson et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Masson, Stewart WC
Madsen, Søren
Cooke, Kristen C
Potter, Meg
Vegas, Alexis Diaz
Carroll, Luke
Thillainadesan, Senthil
Cutler, Harry B
Walder, Ken R
Cooney, Gregory J
Morahan, Grant
Stöckli, Jacqueline
James, David E
Leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance
title Leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance
title_full Leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance
title_fullStr Leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance
title_full_unstemmed Leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance
title_short Leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance
title_sort leveraging genetic diversity to identify small molecules that reverse mouse skeletal muscle insulin resistance
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371229/
https://www.ncbi.nlm.nih.gov/pubmed/37494090
http://dx.doi.org/10.7554/eLife.86961
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