Regulation of Cellular and Molecular Trafficking across Human Brain Endothelial Cells by Th1- and Th2-Polarized Lymphocytes
Bibliographic record
Abstract
We used adult human brain-derived endothelial cells (HBECs) to model migration of peripheral blood lymphocytes across the blood brain barrier (BBB) as occurs in MS. We demonstrate that enhanced expression of adhesion molecule ICAM-1 and production of chemokines CXCL10/IP-10, CCL2/MCP-1, and CXCL8/IL-8 by HBECs induced by supernatants derived from allogeneic or myelin basic protein-reactive Th1 cells is only partially reversed with anti-IFNgamma antibody. This effect is not reproduced with IFNgamma or TNFalpha alone, implicating the interaction of multiple factors in the overall functional response. Supernatants from Th2 cells neither suppressed nor amplified Th1-induced effects. Although both Th1 and Th2 supernatants modulated the expression and localization of tight junction molecules zonula occludens (ZO)-1 and ZO-2, neither supernatant altered the permeability of HBEC monolayers to albumin or increased subsequent T cell migration rates. Prior migration of Th1 or Th2 cells across HBECs did enhance subsequent passage of cells and soluble molecules. Our results suggest that initial infiltration of either Th1 or Th2 polarized lymphocytes across the BBB contributes to the continuation of an inflammatory response in the central nervous system.
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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) | 0.001 | 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 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".