A40 INTESTINAL EPITHELIAL NCOR1 TARGETS TRYPTOPHAN METABOLISM AND PROTECTS AGAINST EXPERIMENTAL COLITIS
Bibliographic record
Abstract
Abstract Background The nuclear co-repressor NCOR1 is a central protein that orchestrates the assembly of a large transcriptional repression complex. NCOR1 controls activation of macrophages by repressing a large variety of pro-inflammatory genes. Aims We aimed to investigate the role of intestinal epithelial NCOR1 during experimental colitis. Methods Conditional deletion of Ncor1 in the whole intestinal epithelium was achieved by crossing Villin-Cre and Ncor1loxP/loxP C57BL/6 mouse models. A gene profiling analysis in the colon of non-diseased NCOR1ΔIEC and control mice was performed. NCOR1ΔIEC and control littermate mice were treated with dextran sulfate sodium (DSS) in drinking water. Results DSS-induced colitis in NCOR1ΔIEC mice was more severe than control mice according to survival as well as clinical observations. A statistical analysis predicted 85 unique and mapped transcripts being significantly modulated between NCOR1ΔIEC and control mice. An Ingenuity Pathway Analysis from these predicted target genes identified gastrointestinal disease (79 transcripts) as top disease and biofunction. Analysis of enriched targets in specific canonical pathways predicted an increase in the tryptophan degradation pathway (P = 3.2E-02), a pathway recently demonstrated to be strongly relevant to inflammatory bowel disease severity. Indoleamine-pyrrole 2,3-dioxygenase (IDO1), that catalyzes the first and rate-limiting step of tryptophan oxidation, was induced more than 7 times in the colon of NCOR1ΔIEC mice. Induction of Ido1 was also confirmed in cultured ex vivo colon organoids deleted for Ncor1. Conclusions Our results highlight the critical role of NCOR1 to maintain intestinal inflammatory homeostasis during experimental colitis and uncover a novel function for NCOR1 in the regulation of Ido1 expression and potentially tryptophan metabolism. Funding Agencies CIHR
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.
How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".