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.

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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