Integrative proteomic analysis provides novel therapeutic insights for etiological subtypes of diabetes
Authors' conclusion
Our study identified several potential drug targets for different subtypes of diabetes using an integrated genetic approach, yielding new insights for precision medicine of diabetes.
Study context
- Population
- Summary-level circulating protein data (UK Biobank, deCODE Health Study); genetic associations with 5 diabetes subtypes (severe autoimmune diabetes (SAID), severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), MOD, mild age-related diabetes (MARD)) from Swedish All New Diabetics in Scania and Malmö Diet and Cancer cohort
- Outcome
- Circulating proteins associated with diabetes subtypes
Methodological detailsproteomic integration, colocalization analyses, multiple sensitivity analyses
- Proteomic integration
- Colocalization analyses
- Multiple sensitivity analyses
Main finding
As reported in the abstract
- Genetically predicted circulating proteins associated with SIRD
- 2
- Genetically predicted circulating proteins associated with SIDD
- 2
- Genetically predicted circulating proteins associated with MARD
- 9
- Genetically predicted circulating proteins associated with MOD
- 3
- Genetically predicted circulating proteins associated with SAID
- 5
Further findings
Enrichment analysis
- Proteins mainly enriched in blood and adipose tissues and involved in immune and inflammatory related pathways
Protein-protein interaction (PPI) analysis
- GRN, TNFSF12 and DAPK2 associated with known T2D targets
Original publication
Integrative proteomic analysis provides novel therapeutic insights for etiological subtypes of diabetes. Diabetes Obes Metab. Published 1 September 2025. doi:10.
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