Evaluation of the impact of azo dyes on the metabolism of stabilized fecal communities and in vitro cell culture
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
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.
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 | 0.000 |
| 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 | 0.001 | 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 it