Fiber Intervention Study in Prader-Willi Syndrome: Insights into Metabolic and Microbiota Shifts
Bibliographic record
Abstract
CONTEXT: While increased fiber intake may benefit appetite and metabolism in the general population, its effects in individuals with Prader-Willi syndrome (PWS), a condition characterized by hyperphagia, obesity, and metabolic dysregulation, remain to be explored. OBJECTIVE: This study assessed the effects of a fiber intervention on hyperphagia, metabolic health, and gut microbiota in individuals with PWS, and explored associations between changes in health markers and shifts in microbiota. METHODS: Participants received either a high-dose fiber intervention (35 g/day) or a control for 3 weeks. Following a washout period of 4 to 8 weeks, participants switched treatments for another 3 weeks. Fecal (bacterial 16S ribosomal RNA) and blood (immunometabolic markers, targeted metabolomics) samples were collected before and after each treatment. RESULTS: Fourteen participants (with a median age of 13.6 years, 8 [57.1%] were female) reported high tolerance to the fiber intervention. While it did not significantly alter hyperphagia or key metabolic markers, the fiber intervention led to shifts in gut microbiota diversity and increased the abundance of beneficial bacteria, such as Bifidobacterium longum and Faecalibacterium prausnitzii. Additionally, it altered fecal and serum metabolites, including a decrease in branched-chain fatty acids and an increase in serum C4-OH acylcarnitine. CONCLUSION: While this study did not observe significant changes in primary or secondary endpoints, it suggests that a short-term high-fiber intervention may induce beneficial shifts in gut microbiota and microbial metabolites in individuals with PWS. Further research is warranted to investigate the long-term effects and potential therapeutic applications of fiber interventions in PWS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".