Small Molecule Immunosuppressive Agents in Experimental and Clinical Transplantation
Bibliographic record
Abstract
Immunosuppression is currently the major approach used for the prevention and management of transplant rejection. In this overview, preclinical and clinical studies of the small molecule immunosuppressive agents are reviewed from the discovery of cyclosporine. More recently it was demonstrated that certain agents, namely tacrolimus (FK506), sirolimus (rapamycin), and mycophenolate mofetil (CellCept, MMF), act selectively on adaptive host responses at different stages of T- and B-cell cycles and spare nonspecific host resistance. Because each agent has its specific and significant toxic effects, it has been difficult to optimize the use of individual agents in monotherapy. Therefore, drug combination therapy has been of great interest in addition to the introduction of new small molecule agents, such as malononitrilamides [MNAs (leflunomide, FK778, FK779)], 15-deoxyspergualin (DSG) and its analogues, FTY720 and inhibitors of signal transduction, which offer promising modes of immunosuppression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".