NMR-based metabolomic profiling identifies inflammation and muscle-related metabolites as predictors of incident type 2 diabetes mellitus beyond glucose: The Di@bet.es study
Authors' conclusion
The model highlighted a relevant contribution of inflammation (glycosylation pattern and HDL) and muscle (creatinine and creatine) in the development of type 2 diabetes as independent factors of hyperglycemia.
Study context
- Population
- Subgroup of individuals from the Di@bet.es study
- Participants
- 145 / 145 / 145
- Comparison
- Incident T2D vs glucose-matched non-diabetic individuals vs age- and sex-matched controls
- Developing T2Dn = 145
- Glucose-matchedn = 145reference
- Controlsn = 145
- Outcome
- Glucose-independent serum metabolomic signature associated with future T2D
- Follow-up
- 8-year follow-up
Methodological detailsNMR-based metabolomics, machine learning, age-, sex- and BMI-matched glucose-matched controls, age- and sex-matched controls
- NMR-based metabolomics
- Machine learning
- Age-, sex- and BMI-matched glucose-matched controls
- Age- and sex-matched controls
Main finding
As reported in the abstract
Classification of incident T2D vs glucose-matched individuals (logistic regression)
AUC
0.628
95% CI 0.510–0.746
Observational data: associations, not effects.
Original publication
NMR-based metabolomic profiling identifies inflammation and muscle-related metabolites as predictors of incident type 2 diabetes mellitus beyond glucose: The Di@bet.es study. Diabetes Res Clin Pract. Published 8 June 2023. doi:10.
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