Pharmacokinetics of Mycophenolate Mofetil and Sirolimus in Children
Bibliographic record
Abstract
This review summarizes the pharmacokinetics in children and youths of 2 commonly used immunosuppressive drugs, mycophenolate mofetil (MMF) and sirolimus (Sir), as presented at the IATDMCT 2007 conference. The review focuses on the developmental changes of drug disposition during childhood and adolescence. Regarding mycophenolate mofetil, the authors were unable to demonstrate age dependency of MMF in combination with cyclosporine. By contrast, there was an inverse relationship between age and the dose-normalized mycophenolate (MPA) area-under-the-time-concentration curve (AUC) in children who received concomitant tacrolimus (Tac). Dose-normalized MPA AUCs were higher than commonly observed in adult patients. It can be hypothesized that the age dependency is related to developmental changes in the expression of the UDP-glucuronosyltransferases. Sirolimus half-life and mean residence time (MRT) are shorter than in adults. Similar to that in adults, there is a profound drug-drug interaction between cyclosporine and Sir. In our own experience, Sir was started at 0.13 +/- 0.05 mg/kg/day. The average Sir AUC was 64.9 +/- 29.7 ng*h/mL. The median (range) AUC for each metabolite was as follows: 12-hydroxy-Sir, 7.6 (0.2-18.8); 46-hydroxy-Sir, 3.1 (0.0-12.4); 24-hydroxy-Sir, 4.3 (0.0-12.6); piperidine-hydroxy-Sir, 3.5 (0.0-8.3); 39-desmethyl-Sir, 3.6 (0.0-11.3); 16-desmethyl-Sir, 5.0 (0.1-9.9); and di-hydroxy-Sir, 4.3 (0.0-32.5) ng*h/mL. Of the total metabolite AUC, 77.5% was due to hydroxylated metabolites, while 39-O-desmethyl Sir (the main metabolite in adults) comprised only 8.4% of the metabolites. This is clinically relevant, as 39-O-desmethyl Sir shows 86% to 127% cross-reactivity with the Sir immunoassay. Metabolites reached a median AUC of 60% of that of Sir, but the range was 2.6% to 136%. The age dependency of Sir metabolite formation was confirmed in a human liver microsome model. On the basis of the age dependency of piperidine-hydroxy Sir, the authors postulate that the ontogeny of the drug disposition can be largely explained by developmental changes of the CYP2C8 expression. In conclusion, both Sir and MMF drug disposition vary in children and adolescents from adult patients, most likely because of developmental changes of biliary transporters and metabolic enzymes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".