Personalized metabolomics for predicting glucose tolerance changes in sedentary women after high-intensity interval training
Question
Can metabolomic profiles predict individual glucose-tolerance changes after six weeks of HIIT in sedentary overweight/obese women?
Summary
In 11 sedentary overweight or obese women, six weeks of supervised cycling HIIT improved VO2max and maximal workload, but glucose-tolerance responses varied, including unfavorable responses in some participants.
Methodology
- Overweight/obese healthy sedentary women.
- 11 participants.
- Stationary cycle.
- Work intervals: 60 s at workload eliciting 90% HRmax.
- Recovery: 60 s light cycling at 50 W.
- Intensity: 90% maximal heart rate.
- 25 min.
- 3 sessions/week.
- 6 weeks.
- Single-group pre-post metabolomics intervention
- Glucose tolerance, VO2max, and Metabolomics were tracked.
Outcomes
Fitness
VO2max and maximal workload improved.
VO2max p=1.04E-3; Wmax p=2.35E-3.
Glucose
Group glucose improvement was not significant with all participants; responders varied.
tAUC p=0.0267 only after excluding one outlier.
Prediction
Baseline and response metabolite ratios classified or predicted training glucose changes in this small sample.
TML/GlyCys-Cys-SS AUC=0.868, p=0.00581; MLR R2 about 0.99.
Insights
- Fitness outcomes and glucose outcomes can diverge.
- Personalized tracking matters for metabolic claims.
Limitations
- Small sample
- No non-exercise control
- Women only
- Menstrual phase not controlled
- Free-living diet except standardized training-day breakfast
- Limited metabolomics coverage
Safety
- No clinical adverse events were reported.
- The paper reported unfavorable metabolic response signals: 54% positive responders, 27% non-responders, and 18% negative responders for 2 h plasma glucose; one participant worsened fasting and 2 h glucose.
- Sessions were supervised and participants with prediabetes, diabetes, hypertension, or cardiovascular disease were excluded.