Regulation of Th1 and Th2 Lymphocyte Migration by Human Adult Brain Endothelial Cells
Bibliographic record
Abstract
Endothelial cells of the blood-brain barrier (BBB) have the ability to regulate and restrict the passage of cells and molecules from the periphery to the CNS. We have used an in vitro assay of lymphocyte migration across monolayers of human adult brain endothelial cells (HBEC) as a model of lymphocyte migration across the BBB. We found that human allogeneic or MBP-reactive Th2-polarized lymphocytes migrate more avidly than Th1-polarized lymphocytes. Migration of Th2 but not Th1 cells across brain endothelium was inhibited by antibodies directed at MCP-1, a chemokine produced by HBECs. We could detect CCR2, a chemokine receptor that recognizes MCP-1 on Th2 but not Th1 lymphocytes. ICAM-1 and VCAM-1 molecules were expressed on the surface of HBECs under basal conditions and were upregulated by Th1 but not Th2 cell-derived supernatants. Migration of both lymphocyte subsets was dependent on LFA-1/ICAM-1 interactions. Blocking VLA-4/VCAM-1 binding did not influence actual trans-endothelial migration. These results suggest that HBECs composing the BBB favor the migration of Th2 cells. We postulate that this selectivity may help prevent activated Th1 lymphocytes, the putative CNS autoimmune disease initiating cells, from reaching the CNS parenchyma and favor entry of Th2 cells, a putative means to induce bystander suppression in the CNS.
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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".