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Published on: January 31, 2022
Emerging In Vitro Systems to Screen and Predict Drug-Induced Kidney Toxicity
Tom T G Nieskens1, Anna-Karin Sjögren1
1CVRMSafety, Drug Safety and Metabolism, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden.
Abstract:
Drug attrition related to kidney toxicity remains a challenge in drug discovery and development. In vitro models established over the past 2 decades to supplement in vivo studies have improved the throughput capacity of toxicity evaluation, but usually suffer from low predictive value. To achieve a paradigm shift in the prediction of drug-induced kidney toxicity, two aspects are fundamental: increased physiological relevance of the kidney model, and use of appropriate toxicity end points. Recent studies have suggested that increasing the physiological relevance of kidney models can improve their sensitivity to drug-induced damage. Here, we discuss how advanced culture models, including modified cell lines, induced pluripotent stem cells, kidney organoid cultures, and microfluidic devices enhance in vivo similarity. To this end, culture models aim to increase the proximal tubule epithelial phenotype, reconstitute multiple tissue compartments and extracellular matrix, allow exposure to fluid shear stress, and enable interaction between multiple cell types. Applying computation-aided end points and novel biomarkers to advanced culture models will further improve sensitivity and clinical relevance of in vitro drug-induced toxicity prediction. Implemented at the right stage of drug discovery and development and coupled to high-content evaluation techniques, these models have the potential to reduce attrition and aid the selection of candidate drugs with an appropriate safety profile.
Insights
Advanced in vitro kidney models improve prediction of drug toxicity. These physiologically relevant models, using novel endpoints, enhance drug safety assessment and reduce development attrition.
Area of Science:
- Biomedical Engineering
- Toxicology
- Drug Discovery
Background:
- Drug attrition due to kidney toxicity is a major challenge in pharmaceutical development.
- Current in vitro models lack predictive value for drug-induced kidney toxicity.
- Enhanced physiological relevance and appropriate toxicity endpoints are crucial for improved prediction.
Purpose of the Study:
- To discuss advanced in vitro kidney models for predicting drug-induced kidney toxicity.
- To highlight methods for increasing the physiological relevance of kidney models.
- To emphasize the importance of novel toxicity endpoints for clinical relevance.
Main Methods:
- Review of advanced culture models: modified cell lines, induced pluripotent stem cells, kidney organoids, and microfluidic devices.
- Focus on enhancing proximal tubule epithelial phenotype, tissue compartment reconstitution, and extracellular matrix integration.
- Incorporation of fluid shear stress and multi-cell type interactions.
- Application of computation-aided endpoints and novel biomarkers.
Main Results:
- Advanced culture models demonstrate increased in vivo similarity.
- These models aim to better mimic kidney tissue structure and function.
- Integration of computational endpoints and biomarkers enhances predictive sensitivity.
Conclusions:
- Advanced in vitro kidney models offer improved prediction of drug-induced toxicity.
- These models have the potential to reduce drug attrition rates.
- Optimized models aid in selecting drug candidates with favorable safety profiles.
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