Nephrotoxicity prediction system using human ES and iPS cells

Abstract

Prediction of toxicity in humans is essential in pharmaceutical research and development, and various nonclinical toxicity studies are conducted using cells and animals. Even after various toxicity studies are conducted, some clinical studies are often discontinued due to unexpected toxicity. Especially, nephrotoxicity is difficult to predict due to structural complexity of the kidneys and interspecies differences between humans and experimental animals. Here we report a novel prediction system of nephrotoxicity using gene expression network in human ES/iPS cells and machine learning.