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Personalized molecular signatures of insulin resistance and type 2 diabetes

Jeppe Kjærgaard, Ben Stocks, John Henderson, Jordana B Freemantle, David Rizo-Roca, Michele Puglia, Maria Madrazo Montoya, Daniel Andersson, Jesper Bäckdahl, Daniel Eriksson-Hogling, Jacob V Stidsen, Michael Wierer, Simon Rasmussen, Kei Sakamoto, Kurt Højlund, Mikael Rydén, Juleen R Zierath, Anna Krook, Atul S Deshmukh*

*Corresponding author for this work
23 Citations (Scopus)

Abstract

Insulin resistance is a hallmark of type 2 diabetes, which is a highly heterogeneous disease with diverse pathology. Understanding the molecular signatures of insulin resistance and its association with individual phenotypic traits is crucial for advancing precision medicine in type 2 diabetes. Utilizing cutting-edge proteomics technology, we mapped the proteome and phosphoproteome of skeletal muscle from >120 men and women with normal glucose tolerance or type 2 diabetes, with varying degrees of insulin sensitivity. Leveraging deep in vivo phenotyping, we reveal that fasting proteome and phosphoproteome signatures strongly predict insulin sensitivity. Furthermore, the insulin-stimulated phosphoproteome revealed both dysregulated and preserved signaling nodes-even in individuals with severe insulin resistance. While substantial sex-specific differences in the proteome and phosphoproteome were identified, molecular signatures of insulin resistance remained largely similar between men and women. These findings emphasize the necessity of incorporating disease heterogeneity into type 2 diabetes care strategies.

Original languageEnglish
JournalCell
Volume188
Issue number15
Pages (from-to)4106-4122.e16
ISSN0092-8674
DOIs
Publication statusPublished - 24 Jul 2025

Keywords

  • Adult
  • Diabetes Mellitus, Type 2/metabolism
  • Female
  • Humans
  • Insulin Resistance/genetics
  • Insulin/metabolism
  • Male
  • Middle Aged
  • Muscle, Skeletal/metabolism
  • Precision Medicine
  • Proteome/metabolism
  • Proteomics/methods
  • phosphoproteomics
  • signaling
  • disease heterogeneity
  • skeletal muscle
  • glucose metabolism
  • sex differences

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