Method Profile

Intestinal Organoid–PBPK Modeling of Gastrointestinal Toxicity

Organoid cell dynamics, physiologically based pharmacokinetic (PBPK) exposure estimates and epithelial turnover are integrated to examine clinical diarrhea incidence and severity.

Intestinal SafetyComputational Models
AstraZeneca’s Discovery Centre at the Cambridge Biomedical Campus.
AstraZeneca’s Discovery Centre in Cambridge, photographed in November 2021. (John Sutton, CC BY-SA 2.0)

Research Applications

Comparing antiproliferative epithelial injury across oral drugs, exposure assumptions and clinical dosing regimens.

Model & Design

Human small-intestinal organoids derived from adult stem cells from one donor, obtained from the HUB Biobank.

Experimental Format

Time-course imaging combined with organoid, human epithelial turnover and PBPK models.

Model Components

  • Component

    Organoids and cell measurements

    Description

    Adult-derived small-intestinal organoids; proliferative and non-proliferative cell counts assessed across time points from 0 to 96 hours.

  • Component

    Imaging and modeling

    Description

    ImageXpress Micro XLS imaging, MATLAB R2021b and Simcyp V24, with the M-ADAM gut-wall model used for local exposure estimates.

  • Component

    Model resources

    Description

    The paper provides equations and parameters and identifies BioModels accession MODEL2212120003 for model code.

Measurements & Endpoints

  • Proliferative and non-proliferative cell counts
  • Local unbound drug concentration
  • Crypt/villus cell dynamics and maximum villus injury
  • Probability of any-grade and grade 3 or higher diarrhea

Analysis

Fit concentration- and time-dependent cell changes, simulate crypt exposure using plasma or enterocyte unbound concentrations as alternative surrogates, and fit the relationship between villus injury and clinical diarrhea.

Published Evidence

  • Study Design

    Six-drug comparison with reported clinical observations, two exposure scenarios and a fitted injury-to-diarrhea relationship.

    Study Sample

    Abemaciclib, ribociclib, poziotinib, lazertinib, mobocertinib and osimertinib, with multiple clinical regimens and trial reports.

    Comparison

    Vehicle controls, unbound plasma versus enterocyte exposure and reported clinical diarrhea incidence.

    Finding

    Table 2 reports abemaciclib injury estimates of 1.8–2.6% with plasma exposure and 46.5–51.8% with enterocyte exposure; mobocertinib estimates were 7.2% and 100%, respectively. The enterocyte scenario better matched clinical findings in this drug set.

    Interpretation & Limits
    • Organoids came from one donor. The injury-to-diarrhea relationship was fitted using the same drugs’ clinical data and requires independent evaluation on additional compounds.
    • Crypt concentrations were not measured directly; plasma and enterocyte concentrations were surrogate estimates.
    • The model addresses antiproliferative epithelial injury rather than all mechanisms of gastrointestinal toxicity.

Sources

  1. Intestinal Organoid-Based Mathematical Modeling Predicts Clinical Gastrointestinal Toxicity of Oral Oncology Drugs. CPT: Pharmacometrics & Systems Pharmacology. 2026-04-25. doi:10.1002/psp4.70256. ↗