LPS tolerance in human endothelial cells: reduced PMN adhesion, E-selectin expression, and NF-κB mobilization
Bibliographic record
Abstract
Cytokine release from inflammatory (CD14(+)) cells is reduced after repeated stimulation with lipopolysaccharide (LPS; LPS tolerance). However, it is not known whether LPS tolerance can be induced in CD14(-) cells. The aim of the present study was to determine whether endothelial cells [human umbilical vein endothelial cells (HUVEC)] could be rendered tolerant to LPS with respect to LPS-induced polymorphonuclear neutrophil (PMN) adhesion. LPS stimulation (0.5 microg/ml; 4 h) of naive HUVEC increased PMN adhesion. Pretreatment of HUVEC with LPS (0.5 microg/ml) for 24 h resulted in a reduction in the proadhesive effects of a subsequent LPS challenge. The initial LPS stimulation increased 1) mobilization of the nuclear transcription factor NF-kappaB to the nucleus and 2) surface levels of the adhesion molecules intercellular adhesion molecule-1 (ICAM-1) and E-selectin. In LPS-tolerant HUVEC, a second LPS challenge resulted in 1) less accumulation of NF-kappaB in the nucleus, 2) a reduction in E-selectin expression, and 3) unchanged ICAM-1 expression. LPS-tolerant cells were still capable of mobilizing NF-kappaB in response to stimulation with either interleukin-1beta or tumor necrosis factor-alpha, resulting in elevated E-selectin levels and increased PMN adhesion. These studies show for the first time that LPS tolerance can be induced in endothelial cells with respect to PMN adhesion. This tolerance is specific for LPS and is associated with an inability of LPS to mobilize NF-kappaB, resulting in less E-selectin expression.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".