Characterizing the fecal microbiome in patients on the ketogenic diet for drug resistant epilepsy
Bibliographic record
Abstract
<h2>Abstract</h2><h3>Background</h3> The ketogenic diet is a dietary therapy with anti-seizure effects. The efficacy of the diet is variable, with initial animal studies suggesting the intestinal microbiome may have a modulating effect. Initial research on the role of the human microbiome in pediatric epilepsy management has been inconclusive. <h3>Methods</h3> In this single-center prospective cohort study, stool samples were collected from 4 patients with drug resistant epilepsy on the ketogenic diet and 9 with drug resistant epilepsy as controls. The samples were analyzed by 16S RNA sequencing. <h3>Results</h3> A trend towards increased alpha diversity was noted among patients on the ketogenic diet compared to the control group. Patients on the ketogenic diet also trended towards a higher relative abundance of <i>Bacteroidaceae, Ruminococcaceae</i>, and <i>Prevotellaceae</i> species. A subset of the control group had a high relative abundance of <i>Bifidobacterium</i>, which may make them a candidate for a trial of the ketogenic diet as a therapeutic option. <h3>Conclusion</h3> These findings add to the growing field of research of how the ketogenic diet modulates the intestinal microbiome in pediatric epilepsy patients. Future emphasis on multi-centre trials, consistent stool collection practices and the establishment of standardized stool biobanking protocols are needed further to validate these novel findings in a pediatric population.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".