The impact of progressive chronic kidney disease on hepatic drug metabolism
Bibliographic record
Abstract
Nonrenal clearance pathways such as drug metabolism are decreased in severe chronic kidney disease (CKD). The impact of progression of CKD on hepatic drug metabolism is unknown. We characterized the effect of progressive CKD on hepatic cytochrome P450 expression and evaluated dysbiosis and uremia as kidney function declined. Rats fed control or CKD-inducing adenine diet were studied at 5 time points over 42 days. Cytochrome P450 expression and activity were compared with alterations in the (1) plasma and liver metabolome and (2) gut bacterial microbiota. CYP3A2 and CYP2C11 were downregulated in CKD by ≥76% (P < .001) concurrently with or slightly prior to CKD onset as defined by serum creatinine. Metabolite profiles were altered prior to changes in the gut microbiota, and gut-derived uremic toxins including indoxyl sulfate, phenyl sulfate, and 4-ethylphenyl sulfate correlated with CYP3A2 or CYP2C11 expression. Bacterial genera Turicibacter and Parabacteroides were identified as being characteristic of CKD. In conclusion, CYP3A2 and CYP2C11 are downregulated before dysbiosis and uremia. SIGNIFICANCE STATEMENT: This study describes the effect of progressive kidney disease on hepatic CYP2C11 and CYP3A2 enzyme expression and activity in a rat model of CKD. Expression and activity of drug metabolizing enzymes occurs prior to uremia or dysbiosis.
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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 | 0.000 | 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) | 0.000 | 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".