Corticosteroid Regulation of P-Glycoprotein in the Developing Blood-Brain Barrier
Bibliographic record
Abstract
The early fetal brain is susceptible to teratogens in the maternal circulation, because brain microvessel expression of drug efflux transporter, P-glycoprotein (P-gp), is very low. However, there is a dramatic up-regulation of brain microvessel P-gp in late gestation. This study investigated the role of cortisol and dexamethasone in this up-regulation of fetal brain microvessel P-gp expression. Primary brain endothelial cell (BEC) cultures derived from gestational d (GD)40, GD50, GD65 (term, ∼68 d) and postnatal d 14 male guinea pigs were treated with varying doses (10(-8) to 10(-5) m) of cortisol, dexamethasone, and aldosterone. After treatment, P-gp function was assessed using calcein-acetoxymethyl ester (P-gp substrate; 1 μm for 1 h) and measuring BEC accumulation of calcein. Corticosteroid treatment of BECs derived from postnatal d 14 resulted in increased P-gp activity. BECs derived from GD65 (near term) responded similarly, but these cells were extremely sensitive to the effects of mineralocorticoid receptor agonists (cortisol and aldosterone). BECs derived from GD50 displayed dose-dependent increases in P-gp function with dexamethasone (P < 0.05) and a trend towards increased function with cortisol. Cells derived from GD40 were unresponsive to all treatments. In conclusion, P-gp function in BECs is more responsive to glucocorticoids (GCs) in late gestation. Therefore, the late gestational surge in fetal plasma GCs, which parallels the increase in brain microvessel P-gp expression, may contribute to this P-gp up-regulation. Further, synthetic GCs (administered to pregnant women at risk of preterm delivery) may increase the protective capacity of the developing fetal blood-brain barrier, depending on the timing of GC exposure.
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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) | 0.000 | 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".