Role of Two Efflux Proteins, ABCB1 and ABCG2 in Blood-Brain Barrier Transport of Bromocriptine in a Murine Model of MPTP-Induced Dopaminergic Degeneration
Bibliographic record
Abstract
PURPOSE: MPTP-induced dopaminergic degeneration is an experimental model commonly used to explore Parkinson's disease. Cerebral drug transport by ABC transporters in MPTP models has never been reported. METHODS: We have investigated the transport of bromocriptine through the blood-brain barrier (BBB) in a MPTP model to understand the influence of the dopaminergic degeneration on ABCB1 and ABCG2. RESULTS: We have shown that in MPTP treated mice, bromocriptine is widely distributed to brain (2.3-fold versus control, p less than 0.001) suggesting either disruption of BBB or alteration of active efflux of the drug. In situ brain perfusion of [14C]- sucrose and [3H]-inulin did not evidenced a BBB disruption. Studies of ABCB1 and ABCG2 activity showed that MPTP intoxication did not alter their functionality. Conversely, ABCG2 expression studied on brain capillaries from MPTP-treated mice was decreased (1.3-fold, p less than 0.05) and ABCB1 expression increased (1.43-fold, p less than 0.05) as an off-setting of brain transport. CONCLUSIONS: These data demonstrate that MPTP intoxication does not alter the BBB permeability. However, bromocriptine brain distribution is increased in MPTP animals. Hence, MPTP may interact with another transport mechanism such as uptake and/or other efflux transporters. Inflammation and Parkinson's-like lesions induced by MPTP intoxication could lead to modification of drug pharmacokinetics and have clinical consequences, such as neurotoxicity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".