Eosinophilic/T-Cell Chorionic Vasculitis and Chronic Villitis Involve Regulatory T Cells and Often Occur Together
Bibliographic record
Abstract
Eosinophilic/T-cell chorionic vasculitis (ETCV) is characterized by mixed T-cell, eosinophilic, and histiocytic infiltrates within the chorionic vessel wall. We sought to better characterize this lesion with respect to other pathologic correlates and the T-cell populations involved. Epidemiologic data and other pathologic diagnoses, including concurrent chronic villitis (CV), were tabulated for each case of ETCV diagnosed at our institution over a 6-year period. CD3, CD25, FOXP3, and dual FOXP3-CD3 immunostains were used to identify regulatory T-cell populations in ETCV and CV. Cells positive for CD3, FOXP3, and CD25 were quantitated by manual counts of ×40 fields at the sites of ETCV and CV, and FOXP3∶CD3 and CD25∶CD3 ratios were calculated. Digital analysis of ETCV and CV using the dual FOXP3-CD3 immunostain was also performed on select cases. Of 31 ETCV cases, 10 (32%) were accompanied by CV and 13 (42%) by a thrombus in the vessel affected by ETCV. The mean Treg cell marker∶CD3 ratios in ETCV ranged from 0.18 to 0.26 by manual count and digital analysis, but the counts did not statistically differ by method. The mean Treg cell marker∶CD3 ratios in CV ranged from 0.37 to 0.39 by manual count and 0.19 by digital analysis, but these counts also did not statistically differ by method. Chronic villitis was seen in one-third of ETCV cases. FOXP3+ and CD25+ regulatory T cells represent a significant subpopulation of T cells in ETCV and CV, suggesting that they may play a role in these entities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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; 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".