Why We Need Proper PBPK Models to Examine Intestine and Liver Oral Drug Absorption
Why this work is in the frame
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Bibliographic record
Abstract
Intestinal transporters and enzymes are factors that can influence the absorption of orally administrated drugs. Compartmental models are no longer adequate to describe the sequential handling of drugs and metabolites by the intestine and liver during oral drug absorption, especially when intestinal removal is substantial relative to the liver, and when induction/inhibition elicits different extents of change for identical intestinal and hepatic enzymes or transporters. In this review, we described PBPK models for the intestine (with differential flow patterns: traditional model, TM, and segregated flow model, SFM, and QGut model) as well as semi- or whole bodyphysiological- based pharmacokinetic (PBPK) models to describe the impact of the flow pattern, and the intestinal transporters and enzymes and their attendant heterogeneities on intestinal (FI or FG) and oral (Fsys) bioavailability. The modeling efforts have led to a refinement in providing mechanistic insight on the accurate prediction of drug and metabolite profiles for DDI, pharmacogenomics, age factors and disease conditions. Keywords: Intestine models; segregated flow model, QGut model, physiological-based pharmacokinetic (PBPK) models, enzymes; transporters; intestinal flow, enterocyte flow
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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 | 0.000 | 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) | 0.001 | 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 it