Characterization and optimization of variability in a human colonic epithelium culture model

Area of Science:

• Gastrointestinal (GI) research
• Drug development
• Cell culture models

Background:

• Animal models poorly predict human GI drug efficacy and toxicity.
• Human stem and primary cell-derived cultures offer improved preclinical relevance.
• Variability in stem cell differentiation hinders reproducible assay development.

Purpose of the Study:

• Characterize and reduce variability in the RepliGut® Planar intestinal model.
• Assess impact of donor, cell lot, and passage number on model consistency.
• Evaluate model's utility for predicting drug responses and pharmacokinetics.

Main Methods:

• Utilized RepliGut® Planar, a complex stem cell-derived intestinal epithelium model.
• Assessed barrier formation/integrity, gene expression, and cytokine responses.
• Analyzed data across multiple human donors, cell lots, and passage numbers.

Main Results:

• Controlling cell passage number significantly reduced model variability.
• Optimized passage number maximized physiological relevance.
• Distinct cytokine responses were observed among different human donors, indicating biological variability detection.

Conclusions:

• Cell passage number is a critical factor for reducing variability in stem cell-derived intestinal models.
• The RepliGut® Planar platform demonstrates utility for robust, human-predictive drug-response assays.
• Findings provide considerations for designing assays in other primary cell-derived systems.