The Chemokine RANTES Is a Crucial Mediator of the Progression from Acute to Chronic Colitis in the Rat
Bibliographic record
Abstract
Chemokines have well characterized proinflammatory actions, including the ability to induce extravasation of leukocytes that participate in chronic inflammation. In this study, we evaluated the role of a C-C chemokine, RANTES, in the chronic phase of a rat model of colitis. Colitis was induced by intracolonic administration of trinitrobenzene sulfonic acid. At various timepoints thereafter (2 h to 14 days), colonic tissue levels of several chemokines were measured. Unlike the expression of monocyte chemoattractant protein-1, macrophage inflammatory protein-2, and cytokine-induced neutrophil chemoattractant, the expression of RANTES was significantly elevated during the chronic phase of colitis (> or =7 days after induction). Colonic RANTES mRNA expression was also significantly elevated during the chronic phase of colitis. The numbers of macrophages and monocytes in the colonic mucosa increased substantially during the chronic phase, as did expression of two of the receptors (CCR1 and CCR5) to which RANTES is known to bind. Administration on days 7 through 14 after trinitrobenzene sulfonic acid administration of a CCR1/CCR5 receptor antagonist, Met-RANTES, resulted in a significant reduction of both macroscopic and microscopic colonic damage, as well as reducing the recruitment into the colon of monocytes, mast cells, and neutrophils. In some rats, treatment with Met-RANTES resulted in a near-complete resolution of colonic damage and inflammation. These results suggest a crucial role of RANTES in the progression from acute to chronic inflammation in a rat model of colitis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".