IFN-γ-Inducible T Cell α Chemoattractant Is a Potent Stimulator of Normal Human Blood T Lymphocyte Transendothelial Migration: Differential Regulation by IFN-γ and TNF-α
Bibliographic record
Abstract
Previous studies have shown that the CXC chemokine, IFN-gamma-inducible T cell alpha chemoattractant (I-TAC), was chemotactic for IL-2-activated human T lymphocytes, which express abundant CXCR3. However, because most memory T lymphocytes are also CXCR3(+), the ability of I-TAC to promote the migration of normal human blood T cells across HUVEC monolayers in Transwell chambers was examined. I-TAC induced a marked (4- to 6-fold) increase in transendothelial migration (TEM) of T cells across unstimulated HUVEC from 5.6 to 28% of input T cells and was substantially more active than IFN-gamma-inducible protein-10, another CXCR3 ligand. I-TAC significantly enhanced TEM of T cells across TNF-alpha, but not across IFN-gamma or IFN-gamma plus TNF-alpha-activated HUVEC. IFN-gamma or IFN-gamma plus TNF-alpha-activated HUVEC produced substantial amounts of I-TAC, in contrast to TNF-alpha-treated EC. Both CD4(+) and CD8(+) T cells migrated in response to I-TAC to a similar extent, while memory T cells migrated several fold better than naive T cells. Blockade of LFA-1 strongly inhibited I-TAC-induced T cell TEM across unstimulated HUVEC, and approximately 50-60% of the TEM across cytokine-activated HUVEC. However, blocking both LFA-1 and very late Ag-4 abolished I-TAC induced T cell TEM. In vivo significant levels of I-TAC were detected in arthritic synovial fluid. Thus, I-TAC is one of the most potent chemoattractants of normal human blood CD4 and CD8 T cell TEM and is likely a major mediator of blood memory T lymphocyte migration to inflammation.
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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) | 0.001 | 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 teacher head, 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".