Many edible botanicals have been recommended as functional supplements for their health benefits. However, there are increasing concerns for the liver toxicity of concentrated phytochemicals. Meanwhile, predicting and screening liver toxicity for food components without structural information is needed for food safety ensurance. In the present study, a non-targeted hepatotoxicity prediction model was developed using principal component analysis (PCA) with five liver toxicity endpoints, including oxidative stress, mitochondrial membrane potential change, LDH leakage, ATP and DNA content in rat liver Clone-9 cells. This model was validated using primary rat hepatocytes, and a second set of six food components and two botanical extracts. According to the hepatotoxicity prediction model, the tested phytochemicals were classified into non/little, middle or high hepatotoxic potential groups, which were in great agreement with literatures. The prediction model has potential for non-targeted detection and screening of liver toxicants in foods without knowing their chemical compositions and structures.

Development and validation of a hepatotoxicity prediction model using cultured clone-9 cells

254th National Meeting (2017)

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