Bibliographic record
Abstract
One of the main objectives in allogeneic hematopoietic stem cell transplantation (aHSCT) research is the prevention of graft versus host disease (GVHD) while maintaining the graft versus leukemia/lymphoma (GVL) effect. Whether these two responses generated by donor T cells can be sufficiently separated and controlled remains controversial. While various approaches have been tested to achieve this goal, success has been relatively limited. Lymphocyte responses are negatively regulated by a series of receptors that function along with antigen receptors to deliver co-inhibitory signals. B and T lymphocyte associated (BTLA) is a novel co-inhibitory molecule expressed by activated T cells, B cells and other immune cells. A study by Albring et al. has now shown in a murine model that a single injection of agonistic anti-BTLA monoclonal antibody can inhibit GVHD long-term while maintaining GVL responses and immunity to infection. These studies suggest that future development of biologics to harness the function of co-inhibitory signals will be an important approach in the prevention of autoimmunity and GVHD and in protocols to achieve transplantation tolerance.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.088 | 0.040 |
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".