Monoclonal antibody‐mediated inhibition of the human HLA alloimmune response to platelet transfusion is antigen specific and independent of Fcγ receptor‐mediated immune suppression
Bibliographic record
Abstract
Presensitization of donor platelets with allo-specific immunoglobulin (Ig)G results in a diminished immune response against subsequent transfusions of platelets. To understand better the mechanism of how alloantibody presensitization results in a decreased alloimmune response, we have used murine monoclonal antibodies directed to polymorphic and non-polymorphic regions of human leucocyte antigen (HLA) as well as platelet-specific molecules. Here, we demonstrated that presensitization with anti-human HLA class I antibodies, as well as beta2-microglobulin-specific antibody, protected against alloantibody production to five subsequent untreated platelet challenges. Use of complement fixing, non-fixing or F(ab')2 fragments of HLA-specific antibody also resulted in complete inhibition of alloantibody production. This protection was not seen when the platelets were presensitized with monoclonal antibodies to CD42a (GPIX), CD32 (low-affinity IgG/Fcgamma receptor) or murine IgG and was thus independent of B-cell FcgammaRII-mediated immune suppression. The inhibition observed was independent of HLA alloantigenic specificity as antibodies directed at the beta2-microglobulin portion of HLA class I were as effective as antibodies against any of the HLA-alpha regions (either polymorphic or non-polymorphic) of class I. This work demonstrates that monoclonal antibody-mediated suppression of the human HLA alloimmune response to platelet transfusion is antigen specific and is independent of FcgammaRII-mediated immune regulation, complement fixing or HLA alloantigenic specificity.
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 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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".