Longitudinal study investigating serum metabolites and their association with type 2 diabetes risk in a Korean population
Authors' conclusion
To treat patients with early-stage insulin resistance and dyslipidaemia when metabolic disorders are still reversible, our findings may contribute to a greater understanding of how metabolomics could be used in disease intervention strategies during the early stages of T2D.
Study context
- Population
- Korea Association REsource (KARE) cohort, sixth to eighth follow-up (2013, 2015, 2017)
- Outcome
- T2D onset-specific metabolic changes
Methodological detailssemi-targeted metabolomics, residual-based and geometric angle-based clustering approaches, Metabolites measured by ultraperformance liquid chromatography/triple quadrupole-mass spectrometry
- Semi-targeted metabolomics
- Residual-based and geometric angle-based clustering approaches
- Metabolites measured by ultraperformance liquid chromatography/triple quadrupole-mass spectrometry
Main finding
As reported in the abstract
- Results from multiple logistic regression and single-metabolite logistic regression varied dramatically; models considering multicollinearity among metabolites recommended
- Residual-based approach identified neurotransmitters or related precursors as T2D onset-specific metabolites
- Geometric angle-based clustering: ketone bodies and carnitines observed as disease-onset specific metabolites, separated from others
Observational data: associations, not effects.
Original publication
Longitudinal study investigating serum metabolites and their association with type 2 diabetes risk in a Korean population. Diabetes Obes Metab. Published 3 May 2023. doi:10.
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