Machine learning identifies microbiome and clinical predictors of sustained weight loss following prolonged fasting.
Gelsomina Kaufhold, Theda U P Bartolomaeus, Kristin Schütte et al.
✦ AI-curated · Sources linked
In 30 seconds
This randomized controlled trial investigated the effects of a 5-day fasting intervention on body composition and gut microbiome in 38 healthy adults, with follow-up at 12 weeks. The study found that fasting significantly reduced body mass index, primarily through fat loss, with some effects persisting over time. A predictive model identified key microbiome and clinical predictors of weight loss response.
Key findings
- Fasting reduced body mass index, primarily due to fat mass loss, with partial persistence at 12 weeks.
- Significant shifts in gut microbiome composition and metabolite profiles were observed post-fasting.
- A predictive model identified key predictors of weight loss response, including specific gut microbiome species and clinical variables.
Why it matters
Understanding the relationship between fasting, gut microbiome changes, and weight loss can inform personalized dietary interventions. Clinicians may leverage these insights to optimize fasting protocols for better patient outcomes in weight management.