A36 THE ROLE OF MICROBIAL INDOLE METABOLITES IN CONTROLLING INFLAMMATORY RESPONSES AND HEALING IN RESPONSE TO DSS-INDUCED COLITIS
Bibliographic record
Abstract
Abstract Background Failure to resolve inflammation is often associate with the complications of Crohn’s Disease (CD). The pregnane X receptor (PXR), a xenobiotic receptor, is recognized for its role in suppressing inflammation and has recently been shown to influence fibrogenesis in the liver. In the intestine, PXR-signaling can be influenced by the microbial tryptophan metabolite indole-3- propionic acid (IPA), which can modulate intestinal inflammation, in turn influencing fibrogenesis, resolution and healing. This suggests that the gut microbiota could modulate mucosal homeostasis and resolution of inflammation via microbial metabolites Aims To understand and characterize the interplay between microbial complexity and the regulation of host inflammatory and healing responses, specifically focusing on the PXR and its microbial metabolite ligand IPA. Methods Intestinal inflammation was induced using DSS (1%, 1.5%, 2% and 3.5%) for 5 days followed by healing for 25 days in C57Bl/6 stably derived moderately diverse mouse microbiota 2 (sDMDMm2) colonized gnotobiotic and C57Bl/6 specific pathogen free (SPF) mice. Inflammation, architectural changes and fibrosis were assessed using Haemotoxylin and Eosin and Masson-Trichrome histological stains. Weight was recorded daily for the first 10 days and every other day after for 25 days, for a total of 30 days. Fecal lipocalin was quantified in samples collected throughout the study to assess inflammation. Innate immune cell influx was measured by flow cytometry, and the microbiota assessed via 16S rRNA sequencing. Results The gnotobiotic sDMDMm2 mice were exquisitely sensitive to DSS-induced colitis, exhibiting significantly increased mortality and morbidity at 2% and 3.5% w/v DSS compared to the SPF group. To elicit the same degree of disease to assess recovery, sDMDMm2 mice were exposed to 1.5% DSS and SPF mice to 3.5% DSS. Following 25 days recovery, sDMDMm2 colonized mice showed increased levels of fecal lipocalin 2, as compared to the SPF mice. DSS-treated sDMDMm2 mice supplemented with IPA during their recovery presented lower levels of fecal lipocalin, similar to colitic SPF mice. IPA supplemented sDMDMm2 mice also exhibited greater overall survival, with no significant differences in neutrophil count compared to mice given H20 during recovery. Conclusions A model system with a less complex microbiota (sDMDMm2) has a higher susceptibility to acute inflammation and a diminished capacity to resolve said inflammation. Addition of the microbial metabolite IPA normalized the recovery of the sDMDMm2 colonized mice, to a response indistinguishable from SPF mice, while also increasing survival. These data highlight the importance of microbial complexity in the regulation of intestinal mucosal homeostasis. Funding Agencies CAG, CCC, CIHR
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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".