Cyp3A4, Cyp3A5, and MDR-1 genetic influences on tacrolimus pharmacokinetics in renal transplant recipients
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Bibliographic record
Abstract
OBJECTIVE: The immunosuppressive drug tacrolimus requires strict therapeutic monitoring due to its narrow therapeutic index and great inter-individual variability. Cytochrome P450 3A4 (Cyp3A4) and Cyp3A5 are the most important contributors to tacrolimus metabolism while the P-glycoprotein pump (MDR-1) modulates its bioavailability. The objective was to investigate the association between Cyp3A4, Cyp3A5, and MDR-1 polymorphisms and tacrolimus pharmacokinetics in the early period after renal transplantation. METHODS: Forty-four renal transplant recipients were genotyped for 8 Cyp3A4, 7 Cyp3A5, and 5 MDR-1 genetic variants affecting the proteins' expression and/or function. Dose-adjusted tacrolimus though levels were determined during the first week after transplantation and correlated with corresponding genotype. RESULTS: We found no correlation between Cyp3A4 polymorphism and tacrolimus pharmacokinetics. Patients who do not carry both Cyp3A5*3 alleles achieved lower mean dose-adjusted tacrolimus blood concentrations (p<0.001) and needed a longer time to reach the target concentration (10-12 ng/ml; p<0.001) compared to Cyp3A5*3 homozygotes. Patients with less than three copies of MDR-1 (T-129C, C3435T and G2677T) polymorphisms, associated with reduced expression of P-glycoprotein, had also lower dose-adjusted tacrolimus blood concentrations compared to patients having equal to or greater than three copies of MDR-1 genetic variants (P=0.003). There was no difference in the rate of biopsy-confirmed acute rejection among groups during the first 3 months after transplantation. CONCLUSION: The complete absence of Cyp3A5*3 allele and the accumulation of less than three copies of MDR-1 (T-129C, C3435T and G2677T) polymorphisms are associated with lower tacrolimus blood levels identifying these genotypes as markers for patients requiring higher tacrolimus doses.
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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) | 0.000 | 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 it