Combination therapy of mycophenolate mofetil and rapamycin in prevention of chronic renal allograft rejection in the rat1
Bibliographic record
Abstract
BACKGROUND: Chronic rejection is the leading cause of long-term allograft loss. Until now, no therapy has been recognized as being efficient in its prevention. In addition to their immunosuppressive activity, mycophenolate mofetil (MMF) and rapamycin (RAPA) show diverse properties against vascular smooth muscle cell activity, cell-adhesion molecule expression, and ischemia-reperfusion injury. The combination effect of MMF and RAPA was tested to prevent chronic renal allograft rejection in the rat in this study. METHODS: Nephrectomized Lewis recipients underwent orthotopic transplantation with Fisher (F344) kidneys (allograft groups) or Lewis kidneys (isograft control). The initial episode of acute rejection was controlled with a short course of cyclosporine A (CsA) (1.5 mg/kg/day for 10 days). From weeks 4 to 20, animals were thereafter treated every other day either with vehicle, MMF (20 mg/kg), RAPA (0.8 mg/kg), or MMF (20 mg/kg) plus RAPA (0.8 mg/kg) in combination. Animals were sequentially killed at serial intervals over a follow-up of 50 weeks, and histologic study was performed on harvested kidneys according to the Banff working classification for allograft pathology. RESULTS: Animals treated with MMF or RAPA alone showed a Banff sum score similar to the allograft control group (6.31+/-1.01 and 7.27+/-1.14 vs. 7.21+/-1.14, respectively; P>0.05). When the recipient rats were treated with MMF and RAPA in combination, it resulted in a clinically and statistically significant reduction of Banff sum score (4.21+/-0.79, P<0.01), with specific inhibition of vascular fibrous intimal thickening, allograft glomerulopathy, and interstitial fibrosis. CONCLUSION: Over a 50-week study, concomitant therapy of MMF and RAPA prevents chronic renal allograft rejection, probably through reduction of ischemic and cytotoxic degenerative changes. These results warrant further investigation in the combination of MMF and RAPA as anti-chronic rejection therapy in clinical transplantation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".