P145 Phagocyte responses to gut-derived C. albicans are modified in inflammatory bowel disease
Bibliographic record
Abstract
Abstract Background Fungi are a key component of the human gut microbiota and have been strongly implicated in the pathogenesis of inflammatory bowel disease (IBD). Candida albicans typically exists as a commensal yeast within healthy hosts but can form tissue-invasive filaments that secrete Candidalysin (CLYS) toxin to disrupt epithelial barriers. Dynamics of this morphological switch are influenced by genotypic and phenotypic variation of gut-resident C. albicans strains, which may impact host response and extent of mucosal inflammation. Methods C. albicans isolates were derived from healthy control (HC) and IBD gut biopsies. Phenotypic, genomic, and proteomic analyses were conducted on these isolates. To further understand host interplay with intestinal C. albicans under physiologically relevant conditions, a human ‘gut-on-a-chip’ system was developed to assess tissue invasion potential in vitro. Results IBD-derived isolates were more readily able to form filaments, displayed altered cell wall composition, and modulated expression of adhesion-associated genes including IHD1. Subsequent innate leukocyte responses to these strain-dependent profiles were investigated to understand impact on host immunity. When exposed to IBD-derived C. albicans strains, blood neutrophils from healthy donors displayed increased swarming behaviour and NETosis induction, whereas monocyte-derived macrophages released greater amounts of pro-inflammatory IL-1b. These responses were substantially diminished in neutrophils and macrophages from IBD patients, suggesting altered reactivity to fungal stimuli in disease settings. The gut-on-a-chip model system confirmed that IBD-derived strains display increased adhesion and translocation in a dynamic human gut environment. Conclusion Gut-adapted C. albicans strains from HC and IBD donors exhibit distinct biological profiles that impact on host immune responses and shape interactions with the gut barrier in a novel organ chip model.
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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) | 0.002 | 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".