Prebiotics as a modulator of gut microbiota in paediatric obesity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This review highlights our current understanding of the role of gut microbiota in paediatric obesity and the potential role for dietary manipulation of the gut microbiota with prebiotics in managing paediatric obesity. The aetiology of obesity is multifactorial and is now known to include microbial dysbiosis in the gut. Prebiotics are non-digestible carbohydrates which selectively modulate the number and/or composition of gut microbes. The goal of prebiotic consumption is to restore symbiosis and thereby confer health benefits to the host. There is convincing evidence that prebiotics can reduce adiposity and improve metabolic health in preclinical rodent models. Furthermore, there are several clinical trials in adult humans highlighting metabolic and appetite-regulating benefits of prebiotics. In paediatric obesity, however, there are very limited data regarding the potential role of prebiotics as a dietary intervention for obesity management. As the prevalence of paediatric obesity and obesity-associated comorbidities increases globally, interventions that target the progression of obesity from an early age are essential in slowing the obesity epidemic. This review emphasizes the need for further research assessing the role of prebiotics, particularly as an intervention in effectively managing paediatric obesity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it