Proteomics profiling and association with cardiorenal complications in type 2 diabetes subtypes in Asian population
Authors' conclusion
Each T2D subtype has unique proteomics signature and association with clinical outcomes and underlying mechanisms.
Study context
- Population
- Multi-ethnic Asians with T2D clustered in three subtypesSevere insulin-resistant diabetes with relative insulin insufficiency (SIRD-RII) 19%, MOD 45%, mild age-related diabetes with insulin insufficiency (MARD-II) 36%
- Participants
- 645 participants
- Exposure
- Proteomic profiles across T2D subtypes SIRD-RII, MOD and MARD-II
- Outcome
- Subtype-specific proteomic biomarkers and their association with cardiorenal complications
Methodological detailsproteomics analysis, multi-ethnic Asian, 1448 plasma proteins at baseline, multivariable Cox regression
- Proteomics analysis
- Multi-ethnic Asian
- 1448 plasma proteins at baseline
- Multivariable Cox regression
Main finding
As reported in the abstract
Proteins differing across subtypes · baseline
- Proteins with significantly different expression across subtypes
- 295
Observational data: associations, not effects.
Further findings
Protein associations with complications by subtype
- SIRD-RII: ADH4, ACY1, THOP1, IGFBP2, NEFL, ENTPD2, CALB1, HAO1, CTSV, ITGAV, SCLY, EDA2R, ERBB2 associated with progressive CKD; LILRA5 with incident heart failure (HF)
- MOD: TAFA5, RSPO3, EDA2R associated with incident HF
- MARD-II: FABP4 associated with progressive CKD; PTPRN2 with MACE
Genetically determined proteins and kidney function
- Genetically determined NEFL and CALB1 associated with kidney function decline
Original publication
Proteomics profiling and association with cardiorenal complications in type 2 diabetes subtypes in Asian population. Diabetes Res Clin Pract. Published 25 July 2024. doi:10.
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