Combination therapy of malononitrilamide FK778 with tacrolimus on cell proliferation assays and in rats receiving renal allografts1 2
Bibliographic record
Abstract
BACKGROUND: Malononitrilamide FK778, an analogue of leflunomide's active metabolite, is a promising novel small molecule with immunosuppressive and immunomodulatory properties. In this study, we evaluated the ability of combination therapy of FK778 with tacrolimus to inhibit lymphocyte proliferation and to prevent acute allograft rejection. METHODS: Proliferation assay was used to evaluate the effect of FK778 plus tacrolimus on murine splenocytes, monkey lymphocytes, and human peripheral blood mononuclear cells, after activation with T or B cell-specific mitogens. A rat kidney transplantation model was used to evaluate the ability of FK778 combined with tacrolimus to prolong allograft survival. Median-effect principle and combination index (CI) were used to determine synergism, summation, or antagonism. RESULTS: A total of 58 combinations of FK778 plus tacrolimus were evaluated. Of the combinations tested, 82.8% (24/29) produced additive to synergistic effects in B cells, whereas 79.3% (23/29) produced moderate antagonistic effects in T cells. A concomitant 14-day therapy of FK778 (10 mg/kg/day) and tacrolimus (1 mg/kg/day) synergistically prolonged renal allograft survival to 25.5+/-5.9 days (CI=0.458). However, when addition of FK778 to tacrolimus therapy was delayed to day 7 after transplantation, a strong synergism was obtained (mean survival time=74.9+/-14.8 days, CI<0.001). CONCLUSIONS: This study demonstrates that the combination of FK778 with tacrolimus in vitro produces synergistic inhibition on B-cell proliferation but not on T cell proliferation in mice, nonhuman primates, and humans. When the addition of FK778 treatment was delayed to day 7 after transplantation, a strong synergism was produced in prolongation of renal allograft survival in the rat.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".