Role of Endothelial TLR4 for Neutrophil Recruitment into Central Nervous System Microvessels in Systemic Inflammation
Bibliographic record
Abstract
Brain inflammation is a frequent consequence of sepsis and septic shock. We imaged leukocyte recruitment in brain postcapillary venules induced by i.p. administration of LPS as a simple model of systemic inflammation. The i.p. injection of LPS (0.5 mg/kg) induced significant leukocyte rolling and adhesion in brain postcapillary venules of wild-type (WT) mice and more than 90% were neutrophils. However, no emigrated neutrophils were detected in brain parenchyma. High levels of TNF-alpha and IL-1beta were detected in the plasma after LPS injection but a different profile (IL-1beta but not TNF-alpha) was detected in the brain. LPS caused no recruitment in TLR4 knockout mice. In chimeric mice with TLR4-expressing resident cells but TLR4-deficient bone marrow-derived circulating cells, neutrophil rolling and adhesion was similar to WT mice. This observation is consistent with a requirement for resident cells in the LPS-induced neutrophil recruitment into brain microvessels. Transgenic mice engineered to express TLR4 exclusively on endothelial cells had a similar level of leukocyte recruitment in brain as WT mice in response to LPS. High dose LPS (10 mg/kg) led to neutrophil infiltration in the brain parenchyma in WT mice. High KC and MIP-2 production was observed from brain parenchyma microglial cells, and CXCR2 knockout mice failed to recruit neutrophils. However, neither neutrophil infiltration nor KC or MIP-2 was observed in endothelial TLR4 transgenic mice in response to this LPS dose. Our results demonstrate that direct endothelial activation is sufficient to mediate leukocyte rolling and adhesion in cerebral microvessels but not sufficient for emigration to brain parenchyma.
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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 | 0.001 | 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) | 0.000 | 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".