Crawling Phagocytes Recruited in the Brain Vasculature after Pertussis Toxin Exposure through IL6, ICAM1 and ITGαM
Bibliographic record
Abstract
The cerebral vasculature is constantly patrolled by rod-shaped leukocytes crawling on the luminal endothelial surface. These cells are recruited in greater numbers after exposure to bacterial lipopolysaccharide (LPS) by a mechanism involving tumor necrosis factor (TNF), interleukin-1β (IL1β) and angiopoietin-2 (Angpt2). Here, we report that the population of crawling leukocytes, consisting mainly of granulocytes, is also increased in the brains of mice suffering from experimental autoimmune encephalomyelitis (EAE) or injected with pertussis toxin (PTX), which is commonly used to induce EAE. However, this recruitment occurs through an alternative mechanism, independent of Angpt2. In a series of experiments using DNA microarrays, knockout mice and neutralizing antibodies, we found that PTX acts indirectly on the endothelium in part through IL6, which is essential for the post-transcriptional upregulation of intercellular adhesion molecule 1 (ICAM1) in response to PTX but not to LPS. We also found that phagocytes adhere to brain capillaries through the interaction of integrin αM (ITGαM) with ICAM1 and an unidentified ligand. In conclusion, this study supports the concept that PTX promotes EAE, at least in part, by inducing vascular changes necessary for the recruitment of patrolling leukocytes.
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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".