Multi-omics subgroups associated with glycaemic deterioration in type 2 diabetes: an IMI-RHAPSODY Study

CONCLUSIONS: Using an unsupervised network-based fusion method on plasma lipidomics and proteomics data from two independent cohorts, we were able to identify two subgroups of T2D patients differing in terms of disease severity. The molecular signatures identified within these subgroups provide insights into disease mechanisms and possibly new prognostic markers for T2D.PMID:38510703 | PMC:PMC10951062 | DOI:10.3389/fendo.2024.1350796

Source: Genomics Proteomics ... - March 21, 2024 Category: Genetics & Stem Cells Authors: Shiying Li Iulian Dragan Van Du T Tran Chun Ho Fung Dmitry Kuznetsov Michael K Hansen Joline W J Beulens Leen M 't Hart Roderick C Slieker Louise A Donnelly Mathias J Gerl Christian Klose Florence Mehl Kai Simons Petra J M Elders Ewan R Pearson Guy A Rutt Source Type: research