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 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.
A six-drug study combines human intestinal organoid injury, epithelial turnover and pharmacokinetic models. Accounting for local intestinal exposure improves agreement with reported clinical diarrhea for drugs whose plasma concentrations understate the modeled intestinal effect.