Impact of Wnt/β‐catenin signaling on ethanol‐induced changes in brain endothelial cell permeability
Bibliographic record
Abstract
Chronic exposure to ethanol is associated with enhanced leakiness in the brain microvessel endothelial cells that form the blood-brain barrier (BBB). As previous studies suggested Wnt/β-catenin signaling could improve the BBB phenotype of brain endothelial cells, we examined the extent to which Wnt signaling is altered following ethanol exposure, using both a cell culture model of the BBB and mice exposed to ethanol, and the ability of Wnt activation to reverse the permeability effects of ethanol. The human brain endothelial cells, hCMEC/D3, were exposed to ethanol (17-200 mM) for various periods of time (0-96 hr) and Wnt signaling, as well as expression of downstream genes influencing BBB integrity in the cell monolayers were monitored. Determination of Wnt signaling in both brain homogenates and brain microvessels from mice exposed to ethanol was also performed. The effects of ethanol on the permeability of the hCMEC/D3 monolayers were examined using both small molecular weight (sodium fluorescein) and large molecular weight (IRdye 800CW PEG) fluorescent markers. Exposure of hCMEC/D3 to ethanol (50 mM) caused a down-regulation of Wnt/β-catenin signaling, a reduction of tight junction protein expression and up-regulation of plasmalemma vesicle associated protein (PLVAP). A similar reduction in Wnt/β-catenin activity in both cortical brain homogenates and isolated cortical cerebral microvessels were observed in mice. Other areas such as cerebellum and striatum displayed as much as 3-6 fold increases in Dkk-1, an endogenous Wnt inhibitor. Ethanol exposure caused significant changes in both sodium fluorescein and IRdye 800CW PEG permeability (2-fold compared to control). The ethanol-induced increases in permeability were attenuated by treatment with known Wnt activators (i.e. LiCl or Wnt3a). Additional screens of CNS active agents with possible Wnt activity indicated fluoxetine could also prevent the permeability effects of ethanol. These studies suggest that ethanol-induced changes in brain microvessel permeability can be reversed through activation of Wnt signaling.
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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 | 0.001 |
| 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".