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Model‐informed dose optimization of etrasimod in ulcerative colitis across CYP2C9 genotypes and hepatic impairment
British Journal of Clinical Pharmacology

Cure8 research brief

Model‐informed dose optimization of etrasimod in ulcerative colitis across CYP2C9 genotypes and hepatic impairment

2 min read
Medications Etrasimod S1P modulator Clinical study Clinicians Researchers Patients On Biologics Adult patients

Why This Matters

People with ulcerative colitis taking etrasimod may have higher drug levels if they have certain CYP2C9 genotypes or significant liver impairment; dose adjustments could be needed to avoid increased exposure.

The paper provides model-based dosing guidance for affected subgroups, which is directly relevant to clinicians prescribing etrasimod and to patients with liver disease or known CYP2C9 variants.

Who Should Pay Attention

Clinicians prescribing etrasimod, clinical pharmacologists, researchers in IBD therapeutics, and adults with ulcerative colitis — especially patients with known CYP2C9 variants or hepatic impairment.

Study Snapshot

Story typeResearch paper
Evidence typeResearch paper
Source depthJournal abstract

What To Know

This study used a physiologically based pharmacokinetic (PBPK) model to assess how CYP2C9 genetic variants and different levels of hepatic impairment affect exposure to etrasimod, an oral S1P receptor modulator approved for moderate-to-severe ulcerative colitis.

The model was verified against clinical and in vitro data and then applied to Chinese populations to predict steady‑state concentrations and AUC.

The model predicted that both CYP2C9 poor metabolizer status and worsening hepatic impairment increase etrasimod exposure, with the largest effect when both are present (e.g., predicted ~67% higher AUC in poor metabolizers with Child–Pugh C).

Based on exposure-matching, the authors propose dose reductions from the approved 2 mg daily to 1.5 mg for most affected subgroups and to 1 mg daily for poor metabolizers with severe hepatic impairment. This article presents a model-based pharmacokinetic analysis and dose‑optimization recommendations rather than new clinical outcome data.

It helps quantify how genotype and liver function could change drug levels and supports individualized dosing considerations.

Keep In Mind

Structured content depth: abstract — this brief is grounded in the journal abstract and model results provided in the article. The work is a PBPK modelling study and provides predicted exposure and suggested dose adjustments; it does not present prospective clinical outcome data validating those dose changes.

Genetic testing (CYP2C9) and formal liver function assessment are the contexts in which these recommendations would be applied.

Source Details

Review the original publication for the complete reporting, methods, and context.

Read Original Source
Research paper Evidence type derived from source or registry metadata.
PublicationBritish Journal of Clinical Pharmacology
PublisherWiley
AuthorsZihan Xu, Fangyi Qian, Yike Liu +7 more
Study typeJournal Article
Indexed viaCrossref
Source typeResearch paper
PublishedAug 18, 2026, 12:00 AM
Content availableJournal abstract

This Cure8 brief is based on source text from the linked article. Cure8 is informational only and is not a substitute for professional medical advice, diagnosis, or treatment.

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