Investigation of utility of cerebrospinal fluid drug concentration as a surrogate for interstitial fluid concentration using microdialysis coupled with cisternal cerebrospinal fluid sampling in wild-type and Mdr1a(−/−) rats
Bibliographic record
Abstract
In drug discovery, the cerebrospinal fluid (CSF) drug concentration (CCSF) has been used as a surrogate for the interstitial fluid (ISF) concentration (CISF). However, the CCSF-to-CISF gradient suggested for P-glycoprotein (P-gp) substrates in rodents causes uncertainty in CISF estimations and subsequent pharmacokinetic-pharmacodynamic analyses. To evaluate the utility of CCSF as a surrogate for CISF, this study directly compared the CCSF with the CISF of 12 compounds, including P-gp substrates, under steady-state conditions in wild-type and Mdr1a(-/-) rats using microdialysis coupled with cisternal CSF sampling. In wild-type rats, the ISF-to-unbound plasma (Kp,uu,ISF) and CSF-to-unbound plasma (Kp,uu,CSF) concentration ratios of the P-gp substrates, except for metoclopramide, were lower than those of the non-P-gp substrates, and the Kp,uu,CSF values were within or close to 3-fold of the Kp,uu,ISF values for all the compounds examined. The Kp,uu,CSF values of the selected P-gp substrates increased in Mdr1a(-/-) rats with a similar magnitude to the Kp,uu,ISF values, resulting in the Kp,uu,CSF-to-Kp,uu,ISF ratios being unchanged. These results suggested that P-gp-mediated active efflux at the blood-brain barrier is a major determinant not only for CISF, but also for CCSF, and that CCSF can be used as a surrogate for CISF even for P-gp substrates in rats.
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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) | 0.001 | 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".