CD146+ T lymphocytes are increased in both the peripheral circulation and in the synovial fluids of patients with various musculoskeletal diseases and may facilitate T and B interactions (95.11)
Bibliographic record
Abstract
Abstract The endothelial junction adhesion molecule CD146 appears on activated lymphocytes in vitro and in very low percentages of circulating lymphocytes in healthy individuals. Preliminary evidence suggests that CD146 facilitates adherence of these cells to the endothelium, and perhaps transendothelial migration. 24 synovial fluids (SF) were obtained from 21 patients with various arthritic conditions. Peripheral blood (PB) was obtained from 6 of these patients and PB from 23 healthy individuals. Our data indicate CD4+CD146+ cells accumulate in SFs preferentially compared to PB and these cells display a unique genotypic profile from their CD146- counterparts. Using Affymetrix HG-U133+ PM arrays, comparative data analysis between CD146 positive and negative SF CD4+ cells revealed differential expression of 230 probesets. CD146+ CD4+ cells compared to CD146- CD4+ cells displayed increased expression of numerous genes including collagen type VI, alpha 3, CXCL13, and CD109 and decreased expression CCR7 and cytotoxicity-associated genes such as granzymes h and k, perforin, and CCL5. Both CD109 and CXCL13 have been shown to mediate T cell - B cell interactions and the upregulation of these genes on CD146+ T cells in SF may indicate these cells facilitate such interactions.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".