Anti-BK Virus Mechanisms of Sirolimus and Leflunomide Alone and in Combination: Toward a New Therapy for BK Virus Infection
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Bibliographic record
Abstract
BACKGROUND: Human BK polyomavirus is the causative agent of BK nephropathy which is now the leading cause of early renal graft loss. Although no randomized clinical trials have supported this therapy, reduction of immunosuppressive drugs is the current BK nephropathy treatment. We hypothesized that inhibition of the intracellular protein kinase pathways activated by BK virus may be a more effective therapeutic strategy than reduction of immunosuppression. METHODS AND RESULTS: Four days after infection of renal epithelial cells lines CCD1103, CCD1105 and human primary tubular epithelial cells with BK virus, we found increased phosphorylation of 3'-phosphoinositide-dependent kinase-1 (PDK-1), the protein kinase Akt (Akt), mammalian target of rapamycin (mTOR), and 70 kDa ribosomal protein S6 kinase (p70S6K). To inhibit this pathway, we used sirolimus, which repressed p70S6K phosphorylation and reduced BK virus large T antigen expression in a dose-dependent manner. We then used the tyrosine kinase inhibitor leflunomide (using the active metabolite A77 1726), which decreased PDK1 and Akt phosphorylation and inhibited BK virus genome replication and early gene expression. The combination of sirolimus and leflunomide inhibited BK virus genome replication, large T antigen expression, PDK1, Akt, mammalian target of rapamycin, and p70S6K phosphorylation. CONCLUSIONS: On the basis of these results, we suggest that inhibition of protein kinase pathways with a combination of sirolimus and leflunomide may be an effective therapy for BK virus reactivation. Because both sirolimus and leflunomide possess immunosuppressive activity, combination therapy may reduce BK pathogenesis while maintaining appropriate transplant immunosuppression.
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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 it