ArticleClinical pharmacology and therapeutics2025
Microbiome-Informed Dosing: Exploring Gut Microbial Communities Impact on Mycophenolate Enterohepatic Circulation and Therapeutic Target Achievement.
Article in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Evaluating Vaginal Microbiome Effects on Antiretroviral Exposure in the Female Genital Tract Using Pharmacometric and Machine Learning Approaches.Clinical pharmacology and therapeutics · 2026Article
- Fecal Microbiota Transplantation and Microbiota-Based Therapeutics in Allogeneic Hematopoietic Stem Cell Transplantation: Current Evidence and Future Directions.Clinical pharmacology and therapeutics · 2026Review
- The microbial metabolome: remodeling the therapeutic landscape in hematologic malignancies.NPJ biofilms and microbiomes · 2026Review
- Copulas for Covariate Simulation in Pharmacometrics.CPT: pharmacometrics & systems pharmacology · 2026Article
- Trip score - A three-pillar risk stratification model proposal for antibiotic and immunomodulator coadministration.Frontiers in pharmacology · 2026Article
- Characterization of fecal deglucuronidation activity in healthy subjects and in patients treated with fecal microbiota transplantation.Drug metabolism and disposition: the biological fate of chemicals · 2025Article
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5 authors.
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Abstract
Pharmacomicrobiomics is an emerging field due to important microbiome effects on pharmacokinetics and clinical outcomes. However, the application of this knowledge remains limited. Mycophenolic acid (MPA) is the primary active metabolite of the immunosuppressant, mycophenolate mofetil (MMF). MPA undergoes glucuronidation to form MPA glucuronide (MPAG) which is deglucuronidated by bacterial β-glucuronidases and reformed as MPA through enterohepatic circulation (EHC). We studied the stool microbiome effect on the pharmacokinetics of MPA, its metabolites, and EHC in hematopoietic cell transplant (HCT) recipients using a semi-mechanistic population pharmacokinetic model. Microbiome communities were identified using correlation network analysis, and their impact on pharmacokinetics was assessed using full fixed-effects modeling. Simulations were then conducted to evaluate MMF dosing regimens and to assess the impact of community abundance on EHC and MPA therapeutic target achievement. High abundance of Bacteroides uniformis-dominant and Bacteroides vulgatus-dominant communities was associated with higher EHC and an increase in MPA exposure. Low abundance of these communities was associated with a 52-80% and 4-83% lower EHC and MPA exposure, respectively. Simulations showed 70% of individuals with low abundance of these communities achieved the therapeutic target at the typical HCT MMF dose of 1,000 mg Q8 hours IV; however, ≥ 95% were within the therapeutic target at 1,250 mg Q8 hours or 1,750 mg Q12 hours. EHC accounted for 34% of the MPA area under the curve. Elimination of EHC reduced troughs by 100%. This work quantifies the microbiome's effect on pharmacokinetics, paving the way for future microbiome-informed dosing to optimize therapeutic target attainment.
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