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  • Slieker, Roderick CAmsterdam UMC - Vrije Universiteit Amsterdam (author)

Identification of biomarkers for glycaemic deterioration in type 2 diabetes

  • Article/chapterEnglish2023

Publisher, publication year, extent ...

  • 2023

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:51a898b1-315b-4e9c-9a12-57c9db304341
  • https://lup.lub.lu.se/record/51a898b1-315b-4e9c-9a12-57c9db304341URI
  • https://doi.org/10.1038/s41467-023-38148-7DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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Classification

  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • We identify biomarkers for disease progression in three type 2 diabetes cohorts encompassing 2,973 individuals across three molecular classes, metabolites, lipids and proteins. Homocitrulline, isoleucine and 2-aminoadipic acid, eight triacylglycerol species, and lowered sphingomyelin 42:2;2 levels are predictive of faster progression towards insulin requirement. Of ~1,300 proteins examined in two cohorts, levels of GDF15/MIC-1, IL-18Ra, CRELD1, NogoR, FAS, and ENPP7 are associated with faster progression, whilst SMAC/DIABLO, SPOCK1 and HEMK2 predict lower progression rates. In an external replication, proteins and lipids are associated with diabetes incidence and prevalence. NogoR/RTN4R injection improved glucose tolerance in high fat-fed male mice but impaired it in male db/db mice. High NogoR levels led to islet cell apoptosis, and IL-18R antagonised inflammatory IL-18 signalling towards nuclear factor kappa-B in vitro. This comprehensive, multi-disciplinary approach thus identifies biomarkers with potential prognostic utility, provides evidence for possible disease mechanisms, and identifies potential therapeutic avenues to slow diabetes progression.

Subject headings and genre

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  • Amsterdam UMC - Vrije Universiteit AmsterdamUniversity of Dundee (creator_code:org_t)

Related titles

  • In:Nature Communications14, s. 1-182041-1723

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