Evidence map›Paper›PMID 42507095›Full record

ArticleClinical pharmacokinetics2026

Physiologically Based Pharmacokinetic Modeling of Vedolizumab in Healthy Adults and Patients with Inflammatory Bowel Disease.

Sanjana Parikh, Kei Irie, Ryota Tanaka, Takanobu Nadai, Phillip Minar, Tomoyuki Mizuno

Abstract read
In one paragraph

Article in Clinical pharmacokinetics, 2026. 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

What it found

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2 · The registry

The trial behind it

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sanjana ParikhDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Kei IrieDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Ryota TanakaDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Takanobu NadaiDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Phillip MinarDivision of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Tomoyuki MizunoDivision of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. Tomoyuki.Mizuno@cchmc.org.ORCID http://orcid.org/0000-0002-8471-9826

Funding

Precise Infliximab Exposure and Pharmacodynamic Control to Achieve Deep Remission in Pediatric Crohn's DiseaseR01DK132408 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI Phillip P Minar · 2022 to 2026
$3.5M
NIDDK NIH HHS DK132408NIDDK NIH HHS R01 DK132408
6 · The paper itself

Abstract

BACKGROUND AND

objectiveVedolizumab is a gut-selective, humanized monoclonal antibody that binds to α4β7 integrin, preventing lymphocyte trafficking to the intestinal mucosa. While approved for adults with moderate-to-severe ulcerative colitis (UC) or Crohn's disease (CD), drug exposure may vary significantly with disease activity. Physiologically based pharmacokinetic (PBPK) modeling provides a mechanistic framework to integrate drug properties with system physiology, enabling the prediction of pharmacokinetics (PK) under these various pathophysiological conditions. In this study, we developed a minimal mechanistic PBPK model incorporating target-mediated drug disposition (TMDD) to characterize the PK of healthy adults and patients with varying inflammatory bowel disease severity.

methodsA minimal PBPK model incorporating TMDD was developed for vedolizumab using the Simcyp Simulator. The model was parameterized with literature values for healthy adults, verified against clinical PK data from healthy volunteers, and adapted for patients with varying disease severity by estimating target abundance (R

resultsThe PBPK model demonstrated robust predictive performance across varying disease states and ethnicities, compared with reported PK parameters in clinical studies. In healthy adults, mean P/O ratios for C

conclusionsThis study presents the first PBPK model for vedolizumab that quantitatively captures disease-related α4β7 upregulation and its impact on PK in adults. The model provides a mechanistic basis for simulating exposure across disease states and supports model-informed precision dosing strategies to optimize treatment outcomes in UC and CD.

Indexed as

Antibodies, Monoclonal, HumanizedGastrointestinal AgentsInflammatory Bowel DiseasesModels, BiologicalAdultFemaleHealthy VolunteersHumansIntegrinsMaleMiddle AgedYoung AdultAntibodies, Monoclonal, HumanizedGastrointestinal Agentsintegrin alpha4beta7Integrinsvedolizumab

Identifiers

PMID42507095
PMCPMC13545043

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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.