A Mycophenolate Pharmacokinetic Study with New Insights into Enterohepatic Recirculation in Kidney Transplant

Moataz E Mohamed1, Abdelrahman Saqr1, Guillaume Onyeaghala2

  • 1Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, 7-151 Weaver-Densford Hall, 308 Harvard Street SE, Minneapolis, MN, 55455, USA.

Clinical Pharmacokinetics
|February 6, 2026
PubMed
Abstract

Insights

Enterohepatic recirculation (EHR) patterns, not the percentage, significantly impact mycophenolic acid (MPA) levels in kidney transplant patients. Understanding secondary peaks is crucial for optimizing immunosuppression with mycophenolate mofetil (MMF).

Area of Science:

  • Pharmacology
  • Transplant Medicine
  • Clinical Chemistry

Background:

  • Mycophenolic acid (MPA) pharmacokinetics are complex, influenced by enterohepatic recirculation (EHR).
  • Optimizing immunosuppression requires a deeper understanding of MPA exposure and EHR patterns.
  • This study comprehensively assesses MPA and its metabolites, focusing on EHR characteristics.

Purpose of the Study:

  • To comprehensively assess MPA and metabolite pharmacokinetics in kidney transplant recipients.
  • To investigate the impact of enterohepatic recirculation (EHR) and its patterns on MPA exposure.
  • To determine the association between EHR, secondary peaks, and achievement of therapeutic MPA levels.

Main Methods:

  • 84 kidney transplant recipients on mycophenolate mofetil (MMF) and tacrolimus underwent intensive MPA pharmacokinetic assessment.
  • Determined pharmacokinetics of MPA and metabolites, EHR percentage, and number of secondary peaks.
  • Studied associations between EHR, secondary peaks, and MPA therapeutic range achievement.

Main Results:

  • MPA pharmacokinetics showed high variability in AUC0-12, trough concentrations, and EHR%.
  • No significant association was found between EHR% and MPA AUC0-12 or trough levels.
  • MPA AUC0-12 and trough were significantly associated with the number of secondary peaks (0, 1, or ≥2).

Conclusions:

  • MPA EHR percentage did not correlate with MPA AUC0-12 or trough levels.
  • Three distinct patterns of MPA secondary peaks (0, 1, or ≥2) significantly influenced MPA exposure.
  • Further studies are needed to link MPA EHR measures with clinical outcomes.

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