CYP3A4 Activity is Markedly Lower in Patients with Crohnʼs Disease
Bibliographic record
Abstract
BACKGROUND: Disease-dependent changes in the activity of drug metabolizing enzymes and transporters, such as Cytochrome P450 (CYP) 3A4 and P-glycoprotein (P-gp), are thought to have a major influence on the disposition of shared substrates. However, little is known regarding the in vivo relevance of these 2 proteins during drug therapy for gastrointestinal diseases. Our aim was to elucidate the activity of CYP3A4 and P-gp in subjects with Crohn's disease (CD) and to evaluate their influence on budesonide pharmacokinetics. METHODS: A detailed pharmacokinetic assessment was conducted in 8 individuals diagnosed with CD on stable doses of oral budesonide, a putative shared CYP3A4, and P-gp substrate, where hepatic and intestinal CYP3A4 activity were also assessed using intravenous and oral midazolam. In addition, oral fexofenadine was used as an in vivo probe for P-gp activity. RESULTS: Budesonide area under the curve was highly variable between subjects but similar to previously reported values in healthy subjects. The hepatic and intestinal extraction ratios for midazolam were 0.11 ± 0.06 and 0.64 ± 0.25, respectively; however, CYP3A4 activity was nearly 5-fold lower in our CD cohort compared with published data among healthy subjects. Multivariate regression revealed that only 25% budesonide clearance could be explained based on midazolam or fexofenadine clearance. CONCLUSIONS: Midazolam and fexofenadine disposition profile did not predict budesonide clearance. However, we observed a marked reduction in vivo CYP3A4 activity among individuals with CD. Therefore, changes in CYP3A4 activity in disease states such as CD may be a heretofore underappreciated determinant of variation in drug responsiveness in CD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".