Enriched Metabolic Phenotyping Refines Phenotypic Resolution of Type 2 Diabetes
Authors' conclusion
Phenotypic depth may improve the mechanistic resolution of type 2 diabetes beyond routine-variable frameworks.
Study context
- Population
- Adults with newly diagnosed T2D and complete data who underwent deep metabolic phenotyping (97 screened); 13 principal component analysis (PCA)-selected variables across physiological domains97 screened
- Participants
- 94 adults
- Exposure
- IS-HI vs severe insulin-deficient diabetes (SIDD)-like vs severe insulin-resistant diabetes (SIRD)-like vs MA vs HL
- Outcome
- Phenotypic clusters (K-means, 13-variable panel)
Methodological detailsexploratory, clustering analysis, K-means clustering, single-centre, Autoimmune diabetes not examined due to insufficient case numbers
- Exploratory
- Clustering analysis
- K-means clustering
- Single-centre
- Autoimmune diabetes not examined due to insufficient case numbers
Main finding
As reported in the abstract
Five phenotypic clusters observed
5
Observational data: associations, not effects.
Further findings
Unconstrained sensitivity rerun of the 13-variable panel
- A distinct SIDD-like cluster did not re-emerge
Internal robustness analyses
- Overall cluster architecture preserved across variable panels; alternative clustering methods yielded non-identical partitions
Original publication
Enriched Metabolic Phenotyping Refines Phenotypic Resolution of Type 2 Diabetes. Diabetes Obes Metab. Published 10 May 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →