Postprandial Metabolite Profiles and Risk of Prediabetes in Young People: A Longitudinal Multicohort Study
Authors' conclusion
Metabolite profiles may help improve prediabetes prediction compared with traditional risk factors. Findings suggest that medium-chain fatty acids and phytochemicals are early indicators of prediabetes in high-risk youth.
Study context
- Population
- Hispanic youth (discovery) and predominately Hispanic young adults (validation) with overweight/obesity at risk for T2D, without baseline prediabetes; prediabetes assessed via 2-h OGTTdiscovery 143
- Comparison
- Model with metabolites + known risk factors vs risk factor-only model
- Outcome
- Prediabetes prediction (AUC)
Methodological detailsprospective cohorts, independent prospective discovery and validation cohorts, LASSO regression with stability selection, logistic regression
- Prospective cohorts
- Independent prospective discovery and validation cohorts
- LASSO regression with stability selection
- Logistic regression
Performance
As reported in the abstract
AUC for prediabetes, discovery cohort
Metabolites + risk factors
0.80
AUC · 95% CI 0.72–0.87
Risk factor-only
0.63
AUC · CI 0.53–0.73
P = 0.001
Further findings
AUC
| Outcome | Metabolites + risk factors | Risk factor-only |
|---|---|---|
| AUC for prediabetes, validation cohort | 0.70 (95% CI 40.55–0.86) | 0.62 (CI 0.46–0.79) |
AUC for prediabetes, validation cohort
- Model with metabolites and risk factors predicted prediabetes more accurately than same model without metabolites
Original publication
Postprandial Metabolite Profiles and Risk of Prediabetes in Young People: A Longitudinal Multicohort Study. Diabetes Care. Published 16 November 2023. doi:10.
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