Emergence of polyclonal autoantibody responses to multiple platelet surface glycoproteins in regulatory T cell-deficient mice. (115.28)
Bibliographic record
Abstract
Abstract Naturally occurring CD4+CD25+Foxp3+ regulatory T cells (Tregs) are known to play an important role in preventing pathogenic autoimmune responses. Recently, we have found that approximately one third of mice deficient of CD4+CD25+Foxp3+ Tregs spontaneously develop thrombocytopenia with increased platelet-associated IgG, analogous to patients with immune thrombocytopenia. To identify platelet autoantigens in Treg-deficient mice, plasma samples from thrombocytopenic and non-thrombocytopenic Treg-deficient mice were subjected to immunoblots using platelets as an antigen in reduced and non-reduced conditions. IgG antibodies to platelet surface glycoproteins, such as GPIb, GPIIb, and GPIIIa, were detected specifically in thrombocytopenic mice in various combinations. IgG antibodies to native platelets were further assessed by flow cytometry using platelet eluates and splenocyte culture supernatants. IgG antibodies capable of binding to native platelets were detected in thrombocytopenic, but not in non-thrombocytopenic mice. Antibody reactivity was cancelled in the majority of samples when platelets derived from GPIb-deficient or GPIIIa-deficient mice were used instead of wild-type platelets as an antigen. In summary, Treg deficiency alone leads to emergence of polyclonal IgG autoantibody responses to native and denatured platelet surface glycoproteins, supporting a critical role of CD4+CD25+Foxp3+ Tregs in suppressing induction of autoimmunity.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".