CHRONIC PSYCHOLOGICAL STRESS AS A MODULATOR OF INTESTINAL MUCOSAL IMMUNITY
Bibliographic record
Abstract
Crohn’s disease (CD) is an inflammatory bowel disease driven by genetic, environmental, and microbial factors. CD presents a pressing health concern in Canada which has one of the highest prevalence and incidence rates of CD in the world. Chronic psychological stress has been reported as an environmental risk factor for CD which can provoke flares after a period of quiescence and/or exacerbate inflammation. However, the mechanisms which underpin the relationship between stress and disease activity are not known. Previous work has shown that stress can exacerbate CD by disrupting the gut microbiome, leading to uncontrolled inflammation and dysbiosis. The hypothesis of my work is that chronic psychological stress is a maladaptive immunomodulator of the gut, compromising host interactions with the microbiota and thereby resulting in disease-state dysbiosis. I used a chronic variable stress (CVS) mouse model of chronic stress to probe the effects that stress has on host control of the microbiome as it relates to CD. In this model, I found that while CVS did not modify the structural integrity of the ileum nor the quantities of suspected leukocyte populations, CVS-exposed mice showed a transcriptional profile consistent with Th17 inflammatory activation. Moreover, sequencing of the ileal microbiome showed that CVS may be permissive for expansion of bacterial families originally present in low levels whilst contracting dominant families such as Muribaculaceae and Lactobacillaceae. Dysbiosis was also indicated by a significant increase in stool content of antimicrobial Lipocalin-2 (LCN2). This work will provide valuable insights into the risk factors which drive disease activity, thus informing the standard of care for CD.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".