Disposition of Atorvastatin, Rosuvastatin, and Simvastatin in Oatp1b2‐/‐ Mice and Intraindividual Variability in Human Subjects
Bibliographic record
Abstract
Response to statin therapy is often unpredictable because of variability in metabolism and transport. In the recently created organic anion transporting-polypeptide 1b2 (Oatp1b2/Slco1b2)-null mice, the investigators found significantly lower liver-to-plasma ratios compared with controls for atorvastatin (16.0 ± 5.1 vs 43.5 ± 13.7, P = .002) and rosuvastatin (15.2 ± 3.3 vs 28.4 ± 9.3, P = .03), but not simvastatin (5.2 ± 1.1 vs 6.3 ± 2.9, P = .49), following tail vein injection of 1 mg/kg of each drug. In addition, the investigators examined intraindividual variation in atorvastatin, rosuvastatin, and simvastatin pharmacokinetics in healthy human subjects in a crossover study design. Areas under the plasma concentration-time curve of atorvastatin and simvastatin acid were significantly related (Spearman r = 0.68; P = .035), whereas rosuvastatin profile was not related to atorvastatin or simvastatin exposure. Together, these results in mice and humans demonstrate that predictability of exposure to one statin based on another is dependent on the specific statin pairs and the context in which they are compared.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".