Evidence map›Paper›PMID 40516101›Full record

ArticleClinical pharmacology and therapeutics2025

Microbiome-Informed Dosing: Exploring Gut Microbial Communities Impact on Mycophenolate Enterohepatic Circulation and Therapeutic Target Achievement.

Abdelrahman Saqr, Shen Cheng, Mahmoud Al-Kofahi, Christopher Staley, Pamala A Jacobson

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Copulas for Covariate Simulation in Pharmacometrics.CPT: pharmacometrics & systems pharmacology · 2026
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Abdelrahman SaqrDepartment of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-8280-1375
Shen ChengDepartment of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-7493-4784
Mahmoud Al-KofahiDepartment of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-5458-0712
Christopher StaleyDepartment of Surgery, University of Minnesota Medical School, Minneapolis, Minnesota, USA.ORCID 0000-0002-2309-0083
Pamala A JacobsonDepartment of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-4145-7045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Enterohepatic CirculationGastrointestinal MicrobiomeImmunosuppressive AgentsMycophenolic AcidAdultFecesFemaleHematopoietic Stem Cell TransplantationHumansMaleMiddle AgedModels, BiologicalImmunosuppressive AgentsMycophenolic Acid

Identifiers

PMID40516101
PMCPMC12641077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.