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Pharmacokinetics and Protein Binding of Mycophenolic Acid in Stable Lung Transplant Recipients

2002· article· en· W2314014464 on OpenAlexaff
Mary H. H. Ensom, Nilufar Partovi, Diane Décarie, Randall J. Dumont, Guy Fradet, Robert D. Levy

Bibliographic record

VenueTherapeutic Drug Monitoring · 2002
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsChildren's & Women's Health Centre of British Columbia
Fundersnot available
KeywordsPharmacokineticsFree fractionMycophenolic acidCmaxMycophenolateTransplantationMedicinePopulationPharmacologyUrologyLung transplantationChemistryInternal medicine

Abstract

fetched live from OpenAlex

Mycophenolate mofetil (MMF) use is increasing in solid organ transplantation. Mycophenolic acid (MPA), the active metabolite of MMF, is highly protein bound and only free MPA is pharmacologically active. The average MPA free fraction in healthy adult individuals, stable renal transplant recipients, and heart transplant recipients is approximately 2 to 3%. However, no data are currently available on MPA protein binding in stable lung transplant recipients and little is known regarding MPA's pharmacokinetic characteristics after lung transplantation. The purpose of this study was to characterize the pharmacokinetic profile and protein binding of MPA in this patient population. Seven patients were entered into the study. On administration of a steady-state morning MMF dose, blood samples were collected at 0, 1, 2, 3, 4, 5, 6, 8, 9, 10, and 12 hours post-dose. Total MPA concentrations were measured by a validated HPLC method with UV detection and followed by ultrafiltration of pooled samples for free MPA concentrations. Area under the curve (AUC), peak concentration (Cmax), time to peak concentration (Tmax), trough concentration (Cmin), free fraction (f), and free MPA AUC were calculated by traditional pharmacokinetic methods. Patient characteristics included; 3 males and 4 females, an average of 4.4 years post-lung transplant (range, 0.3-11.5 yr), mean (+/- SD) age of 50 +/- 10 years and weight 69 +/- 20 kg. Mean albumin concentration was 37 +/- 3 g/L and serum creatinine was 142 +/- 49 micromol/L. All patients were on cyclosporine and prednisone. MMF dosage ranged from 1 to 3 g daily (35.5 +/- 14.1 mg/kg/d; range, 15.2-60.0 mg/kg/d). Mean (+/- SD) AUC was 45.78 +/- 18.35 microg.h/mL (range, 16.56-74.22 microg.h/mL), Cmax was 17.37 +/- 7.69 microg/mL (range, 4.92-26.63 microg/mL), Tmax was 1.2 +/- 0.4 hours (range, 1.0-2.0 h), Cmin was 3.12 +/- 1.41 microg/mL (range, 1.47-4.82 microg/mL), f was 2.90 +/- 0.56% (range, 2.00-3.40%), and free MPA AUC was 1.29 +/- 0.50 microg.h/mL (range, 0.54-1.88 microg.h/mL). This is the first study to determine these pharmacokinetic characteristics of MPA in the lung transplant population. Further studies should focus on identification of MMF dosing strategies that optimize immunosuppressive efficacy and minimize toxicity in lung allograft recipients.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.301
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations35
Published2002
Admission routes1
Has abstractyes

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