1. Clinical variable-based cluster analysis identifies novel subgroups with a distinct genetic signature, lipidomic pattern and cardio-renal risks in Asian patients with recent-onset type 2 diabetes
- Author
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Jiexun, Wang, Jian-Jun, Liu, Resham L, Gurung, Sylvia, Liu, Janus, Lee, Yiamunaa, M, Keven, Ang, Yi Ming, Shao, Justin I-Shing, Tang, Peter I, Benke, Federico, Torta, Markus R, Wenk, Subramaniam, Tavintharan, Wern Ee, Tang, Chee Fang, Sum, and Su Chi, Lim
- Subjects
Sphingolipids ,Diabetes Mellitus, Type 2 ,Endocrinology, Diabetes and Metabolism ,Lipidomics ,Internal Medicine ,Humans ,Cluster Analysis ,Insulin ,Glycerophospholipids ,Kidney - Abstract
Aims/hypothesis We sought to subtype South East Asian patients with type 2 diabetes by de novo cluster analysis on clinical variables, and to determine whether the novel subgroups carry distinct genetic and lipidomic features as well as differential cardio-renal risks. Methods Analysis by k-means algorithm was performed in 687 participants with recent-onset diabetes in Singapore. Genetic risk for beta cell dysfunction was assessed by polygenic risk score. We used a discovery–validation approach for the lipidomics study. Risks for cardio-renal complications were studied by survival analysis. Results Cluster analysis identified three novel diabetic subgroups, i.e. mild obesity-related diabetes (MOD, 45%), mild age-related diabetes with insulin insufficiency (MARD-II, 36%) and severe insulin-resistant diabetes with relative insulin insufficiency (SIRD-RII, 19%). Compared with the MOD subgroup, MARD-II had a higher polygenic risk score for beta cell dysfunction. The SIRD-RII subgroup had higher levels of sphingolipids (ceramides and sphingomyelins) and glycerophospholipids (phosphatidylethanolamine and phosphatidylcholine), whereas the MARD-II subgroup had lower levels of sphingolipids and glycerophospholipids but higher levels of lysophosphatidylcholines. Over a median of 7.3 years follow-up, the SIRD-RII subgroup had the highest risks for incident heart failure and progressive kidney disease, while the MARD-II subgroup had moderately elevated risk for kidney disease progression. Conclusions/interpretation Cluster analysis on clinical variables identified novel subgroups with distinct genetic, lipidomic signatures and varying cardio-renal risks in South East Asian participants with type 2 diabetes. Our study suggests that this easily actionable approach may be adapted in other ethnic populations to stratify the heterogeneous type 2 diabetes population for precision medicine. Graphical abstract
- Published
- 2022
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