A98 VASOACTIVE INTESTINAL PEPTIDE PROMOTES TH17 IMMUNE RESPONSES THEREBY PROTECTING AGAINST CITROBACTER RODENTIUM INDUCED COLITIS
Bibliographic record
Abstract
Vasoactive intestinal peptide (VIP), a 28 amino acid neuropeptide, exhibits potent anti-inflammatory effects in autoimmune and inflammatory diseases. Interestingly, recent ex vivo studies suggest that VIP can promote the production of proinflammatory Th17 cells (primarily secrete cytokine IL-17A). While Th17 cells likely aggravate inflammation in autoimmune diseases, they are known to be protective against Citrobacter rodentium induced colitis-a mouse model of colitis. The aim of this study was to examine the in vivo significance of VIP-Th17 signaling axis during an enteric pathogen (Citrobacter rodentium) infection. Wild type mice, VIP deficient (Vip-/- ) mice and VIP treated Vip-/- mice were infected with C. rodentium for 10 days. Body weight loss and survival rates were recorded daily. Bacterial counts in the intestinal and systemic sites were determined by an in vivo imaging system and plating method. Mucosal damages were analyzed by Haemotoxylin and Eosin staining. The production of cytokines (such as IL-1β, IL-6, IL-17A, IL-22 and TNF-α) were quantified by quantitative PCR, ELISA and FACS. Vip-/- mice infected with C. rodentium showed dramatic body weight loss, decreased survival rates, increased bacterial colonization in intestinal and systemic sites, worsened mucosal damages/inflammatory responses as well as reduced production of Th17 cell responses. Importantly, exogenous treatment of Vip-/- mice with recombinant VIP ameliorated C. rodentium-induced colitis, accompanied by restoration of Th17 cell responses. We provide the first in vivo evidence that VIP promotes Th17 immune responses thereby protecting against C. rodentium induced colitis. CCC
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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 | 0.001 |
| 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".