Circulating metabolomic markers linking diabetic kidney disease and incident cardiovascular disease in type 2 diabetes: analyses from the Hong Kong Diabetes Biobank
Authors' conclusion
Altered metabolomic signatures in DKD are associated with incident CVD and improve CVD risk stratification.
Study context
- Population
- Individuals with T2D, Hong Kong Diabetes Biobank; baseline sera quantified for 170 metabolites
- Participants
- 1,991 individuals
- Exposure
- Diabetic kidney disease (DKD)-related metabolites and incident CVD; 3-metabolite model vs conventional risk factors
- Outcome
- Metabolites associated with DKD and incident CVD
- Follow-up
- Median 5.2 years
Methodological detailsmetabolomic analysis, NMR spectroscopy, external replication in two independent cohorts
- Metabolomic analysis
- NMR spectroscopy
- External replication in two independent cohorts
Main finding
As reported in the abstract
median 5.2 years of follow-up
Metabolites associated with DKD at false discovery rate (FDR)<0.05
156
Metabolites associated with chronic kidney disease (CKD)
151
Metabolites associated with severely increased albuminuria
128
Metabolites associated with incident CVD at FDR<0.05
75
Observational data: associations, not effects.
Further findings
CVD prediction: age, sex + 3 metabolites (albumin, TG in large HDL, phospholipids in small LDL) vs conventional risk factors
- C statistic, 3-metabolite model vs conventional risk factors
- 0.765 vs 0.762, p=0.893
- C statistic, conventional risk factors plus 3 metabolites
- from 0.762 to 0.797, p=0.014
- Improved discrimination and reclassification; 3-metabolite score validated in independent Chinese and Dutch cohorts
Original publication
Circulating metabolomic markers linking diabetic kidney disease and incident cardiovascular disease in type 2 diabetes: analyses from the Hong Kong Diabetes Biobank. Diabetologia. Published 27 February 2024. doi:10.
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