Effect of Cyclosporine on Mycophenolic Acid Area Under the Concentration–Time Curve in Pediatric Kidney Transplant Recipients
Bibliographic record
Abstract
Mycophenolic acid (MPA), the active compound of mycophenolate mofetil (MMF), shows substantial interindividual and intraindividual variability. It was recently shown that in vitro calcineurin inhibitors alter the bioavailability of MPA by dose-dependent inhibition of MPA glucuronidation. The authors retrospectively analyzed full 10-point profiles for both MPA and cyclosporine (CyA) in 23 pediatric patients receiving MMF and cyclosporine microemulsion (Neoral; Novartis Pharmaceuticals Canada; Dorval, Quebec, Canada). Mycophenolic acid was measured using a commercially available EMIT (Novartis Pharmaceuticals, Canada) assay. As the majority of patients were treated with low doses of cyclosporine after adding MMF, the area under the concentration-time curve (AUC) for cyclosporine showed a wide scatter ranging from 296 to 6400 ng x h/mL. The mean cyclosporine dose was 100 +/- 76 mg/m2 per day (range: 28 to 331). There was no correlation between MPA AUC and MPA dose, and there was substantial interindividual variation. However, there was a significant negative correlation between dose-normalized MPA AUC and cyclosporine AUC ( r2 = 0.23, p < 0.0220). When dividing the MPA profiles into two groups (11 and 12 patients) with a CyA AUC less than or greater than 1600 ng x h/mL, there was a significantly higher 8-hour concentration in the patients with the lower CyA AUC, secondary to a higher second peak. The data demonstrate that the cyclosporine AUC is a determining factor for the MPA AUC and that MPA dose should be reduced when cyclosporine dose is reduced to achieve the same MPA AUC. The significantly higher peak in the group with a lower CyA profile supports the concept of a dose-dependent cyclosporine-induced inhibition of MPA glucuronidation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| 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 | 0.001 | 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".