New Look at Therapeutic Strategies for Blocking Costimulatory Signal in Experimental and Pre-Clinical Transplantation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The activation of T cells depends upon two signals, antigen-specific signal through the T cell receptor and non-antigen-specific costimulatory signal through antigen present cell surface molecules. In clinical transplantation, activated T cells orchestrate the immune response and result in allograft acute rejection. Allograft chronic rejection is also a serious complication and a major cause of late allograft loss after the transplantation. Costimulatory molecules involve in determining T cell activation, cytokine production, vascular endothelial cell damage, and induction of transplant tolerance. An emerging therapeutic strategy provides methods for inhibiting undesired T-cell activation, proliferation and function by blocking costimulatory interactions. This review article describes the roles of costimulation pathways in the progression of acute and chronic allograft rejection, particularly focuses on the recent development and application of costimulatory blockers in experimental and pre-clinical transplantation.
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.
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) | 0.001 | 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