Environmental factors drive bacterial degradation of gastrointestinal mucus
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 mucus layer lining the gastrointestinal tract is essential for gut health, providing a protective barrier while maintaining host-microbiome symbiosis. Its disruption is a hallmark of diseases like ulcerative colitis, yet how bacterial activity impacts mucus structure remains unclear. We developed a method to collect human-cell-derived mucus that mimics human colonic mucus and used it to investigate mucus degradation by commensal bacteria. Glycan foraging by species such as Bacteroides thetaiotaomicron and Bacteroides fragilis did not alter mucus rheology. Instead, secreted proteases were the primary drivers of degradation. Protease activity by B. fragilis and Bifidobacterium longum subsp. infantis was nutrient-dependent, while Enterococcus faecalis was further influenced by oxygen. Under oxidative stress, E. faecalis upregulated carbohydrate metabolism and virulence genes. These results reveal that bacterial mucus degradation is context-dependent and shaped by environmental factors. Our findings underscore the value of human cell-derived mucus models for understanding bacteria-mucus interactions in health and disease.
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 | 0.000 | 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 it