Plasma Lipid Metabolites, Clinical Glycemic Predictors, and Incident Type 2 Diabetes
Authors' conclusion
Fasting DAGs may capture information regarding T2D risk similar to that represented by 2hPG; PCs may capture aspects of T2D etiology that differ from those represented by conventional biomarkers. The direction of effect and strength of DAG and PC associations with incident T2D are similar across European and African Americans.
Study context
- Population
- Participants in the FINRISK 2002 cohort; validation in the Atherosclerosis Risk in Communities (ARIC) studyFINRISK 2002
- Participants
- 7,564 participants
- Outcome
- Incident T2D
- Follow-up
- 14 years
Methodological detailsuntargeted plasma metabolite profiling, Cox regression, Gaussian graphical modeling, external validation in ARIC
- Untargeted plasma metabolite profiling
- Cox regression
- Gaussian graphical modeling
- External validation in ARIC
Main finding
As reported in the abstract
Diacylglycerols (DAGs): increased T2D incidence, independent of fasting plasma glucose (FPG), HbA1c and fasting insulin but not 2hPG — HR
1.22 (1.14-1.30) (95% CI)
Phosphatidylcholines (PCs): inversely associated with T2D risk, independent of FPG, 2hPG, HbA1c and fasting insulin — HR
0.78 (0.71-0.85) (95% CI)
Observational data: associations, not effects.
Further findings
Interaction with race (ARIC)
- No significant interaction between DAGs or PCs and race
Original publication
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