Evidence map›Paper›PMID 40875630›Full record

ArticlePloS one2025

Population pharmacokinetic modeling of missed mycophenolate mofetil doses: Impact on exposure and exploration of mitigation strategies.

Franck Maizaud, Selim Arraki-Zava, Hamza Sayadi, Yeleen Fromage, Pierre Marquet, Jean-Baptiste Woillard, Caroline Monchaud

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Franck MaizaudDepartment of Pharmacology, Toxicology and Pharmacovigilance, CHU Limoges, Limoges, France.ORCID https://orcid.org/0009-0002-5103-0827
Selim Arraki-ZavaDepartment of Pharmacology, Toxicology and Pharmacovigilance, CHU Limoges, Limoges, France.
Hamza SayadiDepartment of Pharmacology, Toxicology and Pharmacovigilance, CHU Limoges, Limoges, France.
Yeleen FromageDepartment of Pharmacology, Toxicology and Pharmacovigilance, CHU Limoges, Limoges, France.ORCID https://orcid.org/0009-0002-3356-557X
Pierre MarquetDepartment of Pharmacology, Toxicology and Pharmacovigilance, CHU Limoges, Limoges, France.
Jean-Baptiste WoillardDepartment of Pharmacology, Toxicology and Pharmacovigilance, CHU Limoges, Limoges, France.ORCID https://orcid.org/0000-0003-1695-0695
Caroline MonchaudDepartment of Pharmacology, Toxicology and Pharmacovigilance, CHU Limoges, Limoges, France.ORCID https://orcid.org/0000-0002-9637-5813

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMissed doses of mycophenolate mofetil (MMF) are frequent in transplant recipients and may lead to subtherapeutic exposure to mycophenolic acid (MPA), potentially compromising graft function. However, current guidance on how to manage such deviations remains empirical and is not supported by pharmacokinetic evidence.

methodsWe used two validated population pharmacokinetic models of MPA to simulate steady-state exposure in virtual cohorts of renal transplant recipients treated with MMF. Scenarios included full missed doses, delays in intake (2-10 hours), and compensation strategies (50% or 100% added at the next dose). Simulations were performed for six dose regimens (500-1250 mg BID) and analyzed in terms of AUC0-12h, proportion of patients outside the target range (30-60 mg·h/L), and time to return to steady state.

resultsA fully missed dose resulted in a 40-60% reduction in AUC0-12h, with delayed return to steady state (up to 72 hours). Delays ≤6 hours caused minimal impact (<15% reduction). Full-dose compensation frequently overshot the therapeutic window, especially in higher-dose regimens. In contrast, adding 50% of the missed dose restored exposure safely and rapidly. When exact compensation was not feasible, rounding down to the nearest available formulation minimized overexposure.

conclusionsModel-based simulations suggest that a rational response to MMF dose omissions can mitigate underexposure while avoiding toxicity. These strategies may support clinicians in managing missed doses and optimizing immunosuppressive therapy in kidney transplant recipients.

Indexed as

Immunosuppressive AgentsModels, BiologicalMycophenolic AcidArea Under CurveComputer SimulationDose-Response Relationship, DrugFemaleHumansKidney TransplantationMaleMiddle AgedImmunosuppressive AgentsMycophenolic Acid

Identifiers

PMID40875630
PMCPMC12393703

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.