Nature Communications · 2023 · 46 citations · 68 references
Life SciencesBiochemistryEndocrinologyApoptosisDiabetologyProteomicsDiabetes MellitusDiabetes Mellitus BiochemistryInflammatory BiomarkersInflammatory SignalingInsulin ResistanceLipid MetabolismDiabetes Mellitus PathophysiologyDisease Mechanism ElucidationDisease Progression PredictionGlucose Metabolism BiomarkersImpaired Glucose ToleranceSphingomyelin MetabolismType 2 Diabetes BiochemistryType 2 Diabetes Pathophysiology
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.
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International Diabetes Federation 2017
Ann M. Carracher, Payal H. Marathe, Kelly L. Close · Journal of Diabetes · 2018 · 13.6K citations · Full text
Medicine, Endocrinology, Diabetology +11
Genomic atlas of the human plasma proteome
Benjamin B. Sun, Joseph Maranville, James E. Peters et al. · Nature · 2018 · 2.4K citations · Full text