Allogeneic platelet transfusions prevent murine T-cell–mediated immune thrombocytopenia
Bibliographic record
Abstract
Platelet transfusions are life-saving treatments for many patients with thrombocytopenia; however, their use is generally discouraged in the autoimmune disorder known as immune thrombocytopenia (ITP). We examined whether allogeneic platelet major histocompatibility complex (MHC) class I transfusions affected antiplatelet CD61-induced ITP. BALB/c CD61 knockout mice (CD61(-)/H-2(d)) were immunized against platelets from wild-type syngeneic BALB/c (CD61(+)/H-2(d)), allogeneic C57BL/6 (CD61(+)/H-2(b)), or C57BL/6 CD61 KO (CD61(-)/H-2(b)) mice, and their splenocytes were transferred into severe combined immunodeficient (SCID) mice to induce ITP. When nondepleted splenocytes were transferred to induce antibody-mediated ITP, both CD61(+) platelet immunizations generated immunity that caused thrombocytopenia independently of allogeneic MHC molecules. In contrast, when B-cell-depleted splenocytes were transferred to induce T-cell-mediated ITP, transfer of allogeneic MHC-immunized splenocytes completely prevented CD61-induced ITP development. In addition, allogeneic platelet transfusions into SCID mice with established CD61-induced ITP rescued the thrombocytopenia. Compared with thrombocytopenic mice, bone marrow histology in the rescued mice showed normalized megakaryocyte morphology, and in vitro CD61-specific T-cell cytotoxicity was significantly suppressed. These results indicate that antibody-mediated ITP is resistant to allogeneic platelet transfusions, while the T-cell-mediated form of the disease is susceptible, suggesting that transfusion therapy may be beneficial in antibody-negative ITP.
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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 | 0.000 | 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) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".