The role of mucin <i>O</i>-glycans in microbiota dysbiosis, intestinal homeostasis, and host-pathogen interactions
Bibliographic record
Abstract
Mucin O-linked glycans are important mediators of host-microbiota-pathogen interactions in the gastrointestinal tract. The major component of intestinal mucus, the MUC2 mucin, is densely glycosylated, with up to 80% of its weight-to-volume ratio represented by O-linked glycans. Glycosylation of secretory gel-forming mucins has an enormous impact on intestinal barrier function, microbial metabolism, and mucus colonization by both pathogenic and commensal microbes. Mucin O-glycans and glycan-derived sugars may be degraded and used as a nutrient source and may regulate microbial gene expression and virulence. Short-chain fatty acids, produced as a by-product of glycan fermentation, can regulate host immunity and goblet cell activity and are important for host-microbe homeostasis. Mucin glycans may also act as microbial binding sites, influencing intestinal colonization and translocation through the mucus gel barrier. Recent findings indicate that alterations to mucin glycosylation impact the susceptibility of mucins to degradation, resulting in altered barrier function and intestinal permeability. Alterations to mucin glycosylation patterns are frequently observed during intestinal infection and inflammation and have been implicated in microbiota dysbiosis and expansion of pathobionts. Recent work has demonstrated that these alterations can play key roles in disease pathogenesis. The precise mechanisms remain obscure. This review highlights the important roles of O-linked glycans in host-microbe interactions and disease pathogenesis in the context of intestinal infections.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".