Dose staggering as a strategy to reduce drug–drug interactions due to reversible enzyme inhibition between orally administered drugs with high first pass effect: a computer simulation study
Why this work is in the frame
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Bibliographic record
Abstract
A physiological computer model was designed to simulate the metabolic drug-drug interactions between two orally co-administered drugs due to reversible enzyme inhibition using drug concentrations in the portal vein. The extent of interactions was compared at steady-state for the effects of a delay in time between the administration of the substrate and the inhibitor. It was demonstrated that the extent of the interactions can be strongly affected by a time interval between the two drug administrations. By delaying the administration of the inhibitor until after the absorption phase of the substrate, one can significantly reduce the extent of the drug--drug interactions. This is because drug concentrations in the portal vein and the liver are much higher than that in the systemic circulation during the absorption phase. The model also showed that interactions involving substrates with a high extraction ratio (E(H)), i.e., drugs with higher first-pass effect, can be more strongly affected by dose staggering. Substrates with a low absorption rate constant (k(a)) require a longer interval with the inhibitor in order to reduce the extent of the interactions. This observation suggests dose staggering as a simple and cost-effective way to reduce the extent of unwanted drug--drug interactions in clinical practice.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 it