Human and Murine Immune Thrombocytopenia (ITP) Is Associated with a Peripheral Deficiency of CD4- T Regulatory Cells (Tc-regs)
Bibliographic record
Abstract
Abstract Abstract 3333 CD8+ T suppressor cells were originally described by Gershon on Kondo more than 40 years ago, however, because of difficulties in their characterization, they fell out of favor for decades. T suppression was resurrected by the discovery of CD4+ CD25+ FoxP3+ T regulatory cells as being the critical cell in the maintenance of self tolerance. Recently, a non-conventional CD4-CD25+FoxP3+ T cell subset termed Tc regulatory cells (Tc-regs) has been described that are also important in inducing tolerance against self. A peripheral CD4+ Treg deficiency has been suggested to be the potential cause of ITP, however, the role of this newly described CD4- T cell population has not been determined. To address the role of these cells, we studied lymphocyte responses in 36 patients with ITP (18 newly-diagnosed and 18 in remission) and a murine model of ITP. Peripheral blood mononuclear cells from patients or spleens and thymi from mice were isolated and FoxP3 expressing Tc-regs were evaluated by flow cytometry. Results show that compared with healthy control subjects, the percentages of peripheral Tc-regs in newly diagnosed patients with ITP were significantly decreased. The Tc-reg deficiency was rescued in those patients in remission due to therapy. Similar results were observed in an active model of murine ITP. Additionally, the murine model of ITP revealed that the CD4- deficient population expressed CD8. These results suggest that, like CD4+ T regs, there is a significant reduction in peripheral Tc-regs in both human and murine ITP and disease remission correlates with rescuing the deficiency. Disclosures: No relevant conflicts of interest to declare.
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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 | 0.000 | 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 | 0.000 |
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 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".