Prebiotics Reduce Body Fat and Alter Intestinal Microbiota in Children Who Are Overweight or With Obesity
Bibliographic record
Abstract
In adults, prebiotic intake is associated with improvements in satiety, postprandial glucose and insulin concentrations (1). The effect of prebiotic intervention in overweight/obese children has been rarely studied. This clinical trial showed that supplementation with oligofructose-enriched inulin for 16 weeks decreased BMI z-score, percent body fat and percent trunk fat. Previous data in children with overweight and obesity showed that prebiotic supplementation, independent of other lifestyle changes, improved subjective appetite ratings (2), but another trial found no effect of oligofructose supplementation for 12 weeks on BMI z-score, percentage body weight reduction and total body fat (3); that was also a randomized, double-blinded, placebo-controlled trial of n=97 overweight and obese (BMI >85th percentile) children (7-18 years) who were randomly assigned to receive placebo (maltodextrin) or oligofructose for 12 weeks. In comparison to the study presented here by Nicolucci et al., that previous study by Parnell et al. did not assess the totality of changes in gut microbial composition and FBAs. Hence, the findings of Nicolucci at al. provide a foundation for larger clinical trials in overweight/obese children and adolescents. Prebiotics are non-invasive and a plausible dietary intervention in overweight/obese children. Further studies with larger sample sizes and a longer duration of supplementation are awaited with interest.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".