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High-Throughput Assay for Predicting Diarrhea Risk Using a 2D Human Intestinal Stem Cell-Derived Model.
Colleen M Pike1, James A Levi1, Lauren A Boone1
1Altis Biosystems, Durham NC, 27709, USA.
Biorxiv : the Preprint Server for Biology
|September 11, 2024
Summary
A new in vitro model using human intestinal cells accurately predicts gastrointestinal toxicities (GITs) from drugs, improving safety evaluations and patient treatment outcomes.
Area of Science:
- Drug discovery and development
- Toxicology
- Gastroenterology
Background:
- Gastrointestinal toxicities (GITs) are common adverse events (AEs) in clinical trials, often limiting drug efficacy and development.
- Current preclinical models fail to accurately predict human GITs due to differences in physiology.
- Early and accurate prediction of GITs is crucial for successful clinical trial outcomes and optimized patient treatments.
Purpose of the Study:
- To develop and validate a novel in vitro model for predicting clinical gastrointestinal toxicities.
- To assess the utility of a multiparametric assay using human intestinal stem cell-derived cultures for early GIT detection.
- To evaluate the model's accuracy in predicting diarrhea risk for marketed chemotherapeutics.
Main Methods:
- Development of a multiparametric assay using the RepliGut® Planar system in a Transwell™ format.
- Assessment of cell proliferation (EdU incorporation), cell abundance (DAPI quantification), and barrier function (TEER) in response to drug treatment.
- Evaluation of 30 drugs with known clinical diarrhea incidence across three human donors.
Main Results:
- The developed assay demonstrated reproducible responses of primary proliferative cells to chemotherapeutics at physiologic concentrations.
- Highly accurate predictions of diarrhea potential were achieved for all endpoints: 91% (DAPI), 90% (EdU), and 88% (TEER).
- Minimal variation was observed across different human donors, indicating model robustness.
Conclusions:
- In vitro toxicity screening using primary proliferative cells offers a promising approach for improved drug safety evaluations.
- This model can potentially reduce adverse events in clinical trials, leading to safer and more effective patient treatments.
- Early detection of GITs through this advanced in vitro system supports optimized drug development pathways.

