A274 THE EFFECT OF DIETARY MODULATION ON FUNGAL AND VIRAL COMMUNITIES IN THE GASTROINTESTINAL TRACT: A LITERATURE REVIEW
Bibliographic record
Abstract
Abstract Background The human gut microbiome is a complex, dynamic community that has been shown to impact gastrointestinal (GI) diseases, including inflammatory bowel disease (IBD). Particularly, changes in diet quality and composition can influence the composition and function of the gut microbiome, leading to an inappropriate response to inflammation, increasing risk for IBD flare. Currently, our understanding of diet modulation largely revolves around changes in bacterial composition and diversity, despite our knowledge of neighbouring eukaryotes, viruses, and archaea within the GI tract. This literature review serves to bolster our understanding of diet modulation on viral and fungal communities, in an effort to support non-pharmacological therapies in IBD. Purpose To assess current literature investigating the effect of diet modulation on the gut microbiota, with interest in viral and fungal communities. Method We performed a MEDLINE and EMBASE literature review with the following search terms: "microbiome / microbiota / microbe" and "fungi / fungal" or "virus / viral / virome" and "diet composition" or "high fiber/re diet" or "diet therapy" or "diet." Exclusion criteria: - Abstracts - Articles not in English - Expert Review articles - Articles investigating bacterial microbiota communities exclusively Result(s) Our EMBASE and MEDLINE search identified 418 and 343 articles, respectively. After applying our exclusion criteria and removing duplicates, 13 articles were included (5 - fungal communities exclusively, 4 - viral communities exclusively, 4 - both). Novel research directly investigating the impact of diet modulation on fungal and viral communities in the gut microbiota are exceedingly rare. Despite this, both communities in animal and human models showed increases in diversity in response to diet modulation, independent of changes in bacterial composition. Fungal communities in animal studies showed a four-fold increase in diversity with changes in diet composition (standard chow to high-grain/ high fibre /low fat) as soon as 28 days post dietary commencement. In human studies, fungal communities changed in response to short term diet changes, not long-term. Candida was positively correlated with carbohydrate ingestion, while Aspergillus was negatively correlated with short chain fatty acid ingestion. Viral communities in animal models showed a similar increase in diversity in response to diet modulation (standard chow to high-grain/high-fibre). In human studies, virome response to diet increased most significantly in those with lower initial viral diversity. However, viral diversity was impacted most by interpersonal variation, not diet modulation. Conclusion(s) Diet modulation remains a key player in altering the gut microbiome, extending to fungal and viral communities. Further studies are required to elucidate the magnitude and temporal effect on these lesser studied microbial communities, given recent studies showing the importance of fungal/viral microbes in IBD. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared NEUROGASTROENTEROLOGY & MOTILITY
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.016 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".