FK506 treatment in a Long-term chronic rejection rat model of small bowel transplantation
Bibliographic record
Abstract
BACKGROUND: Although acute rejection (AR) can be significantly improved by effective immunosuppressants, such as FK506, chronic rejection (CR) remains a major hurdle to long-term allograft survival after small bowel transplantation, in part because the pathogenic mechanisms of CR are, as yet, unknown. The rat orthotopic small bowel transplantation (OSBT) model has been used by a few researchers, but without long-term survival. METHODS: Rats were randomly divided into five groups: Group 1 (n=20), sham-operation rats; Group 2 (n=20), Lewis to Lewis; Group 3 (n=20), F344 to Lewis treated with FK506 (0.3 mg/kg/day); Group 4 (n=20), F344 to Lewis with FK506 (0.5 mg/kg/day); Group 5 (n=20), F344 to Lewis with FK506 (1.0 mg/kg/day). FK506 was administrated intramuscularly to recipients on postoperative days (POD) 0-13, 20 and 27. Body weight, survival rate and histology were measured. RESULTS: Histopathological analysis revealed distinctive abnormalities of the allograft for all animals, including changes in villous architecture, interstitial fibrosis and intimal thickening; however, survival times were significantly increased with higher doses of FK506. Rats in Group 3 and Group 4 (low and moderate FK506 doses) survived 16-18 weeks, while recipients in Group 5 (high dose) survived 24-27 weeks. CONCLUSION: FK506 treatment (1.0 mg/kg/day, intramuscularly administrated to recipients on POD0-13, 20 and 27) can be used effectively to establish a rat OBST model of CR that will be useful for the study of the pathogenesis of CR and the effectiveness of various drugs.
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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) | 0.001 | 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 | 0.001 | 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".