Evaluation of the impact of azo dyes on the metabolism of stabilized fecal communities and in vitro cell culture
Bibliographic record
Abstract
The human gut microbiota is a complex and dynamic ecosystem of microbes existing in symbiosis with the host and can be altered by diet. Azo dyes are present in a large portion of our diet. To investigate the impact of azo dyes on gut microbial metabolites, a stabilized fecal slurry was subjected to Tartrazine exposure and metabolites were analyzed via 1-dimensional proton nuclear magnetic resonance. Results revealed that Tartrazine had a negative effect on 10 out of 13 profiled metabolites. Tartrazine had a negative impact on the transepithelial resistance of in vitro cultured Caco2 epithelial cells and increased the secretion of TNFα. Data from Guelph Health Family Studies suggested that children up to 6 years of age tend to consume 1.2 meals daily containing azo dye. This study suggests that dyes present in food interact with gut microbiota; the resulting metabolites may cause inflammation, leading to effects on human health.
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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 | 0.000 | 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) | 0.001 | 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 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".