Literature DB >> 29167929

Prediction of metabolism-induced hepatotoxicity on three-dimensional hepatic cell culture and enzyme microarrays.

Kyeong-Nam Yu1, Sashi Nadanaciva2, Payal Rana2, Dong Woo Lee3, Bosung Ku4, Alexander D Roth1, Jonathan S Dordick5, Yvonne Will2, Moo-Yeal Lee6.   

Abstract

Human liver contains various oxidative and conjugative enzymes that can convert nontoxic parent compounds to toxic metabolites or, conversely, toxic parent compounds to nontoxic metabolites. Unlike primary hepatocytes, which contain myriad drug-metabolizing enzymes (DMEs), but are difficult to culture and maintain physiological levels of DMEs, immortalized hepatic cell lines used in predictive toxicity assays are easy to culture, but lack the ability to metabolize compounds. To address this limitation and predict metabolism-induced hepatotoxicity in high-throughput, we developed an advanced miniaturized three-dimensional (3D) cell culture array (DataChip 2.0) and an advanced metabolizing enzyme microarray (MetaChip 2.0). The DataChip is a functionalized micropillar chip that supports the Hep3B human hepatoma cell line in a 3D microarray format. The MetaChip is a microwell chip containing immobilized DMEs found in the human liver. As a proof of concept for generating compound metabolites in situ on the chip and rapidly assessing their toxicity, 22 model compounds were dispensed into the MetaChip and sandwiched with the DataChip. The IC50 values obtained from the chip platform were correlated with rat LD50 values, human C max values, and drug-induced liver injury categories to predict adverse drug reactions in vivo. As a result, the platform had 100% sensitivity, 86% specificity, and 93% overall predictivity at optimum cutoffs of IC50 and C max values. Therefore, the DataChip/MetaChip platform could be used as a high-throughput, early stage, microscale alternative to conventional in vitro multi-well plate platforms and provide a rapid and inexpensive assessment of metabolism-induced toxicity at early phases of drug development.

Entities:  

Keywords:  DataChip/MetaChip; High-throughput toxicity screening; Metabolism-induced hepatotoxicity; Metabolizing enzyme microarray; Three-dimensional (3D) cell culture array

Mesh:

Substances:

Year:  2017        PMID: 29167929      PMCID: PMC5867211          DOI: 10.1007/s00204-017-2126-3

Source DB:  PubMed          Journal:  Arch Toxicol        ISSN: 0340-5761            Impact factor:   5.153


  38 in total

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5.  Metabolizing enzyme toxicology assay chip (MetaChip) for high-throughput microscale toxicity analyses.

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6.  Evaluation of "external" predictability of an in vitro-in vivo correlation for an extended-release formulation containing metoprolol tartrate.

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Journal:  Biomicrofluidics       Date:  2019-03-07       Impact factor: 2.800

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Authors:  Gregory H Underhill; Salman R Khetani
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3.  High-content imaging assays on a miniaturized 3D cell culture platform.

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4.  High-Throughput Assessment of Mechanistic Toxicity of Chemicals in Miniaturized 3D Cell Culture.

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Journal:  Curr Protoc Toxicol       Date:  2018-11-02

5.  High-Throughput Screening of Compound Neurotoxicity Using 3D-Cultured Neural Stem Cells on a 384-Pillar Plate.

Authors:  Soo-Yeon Kang; Pranav Joshi; Moo-Yeal Lee
Journal:  Curr Protoc       Date:  2021-04

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Review 7.  A Critical Perspective on 3D Liver Models for Drug Metabolism and Toxicology Studies.

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Review 8.  The evolution of strategies to minimise the risk of human drug-induced liver injury (DILI) in drug discovery and development.

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Review 10.  [Research advances of high-throughput cell-based drug screening systems based on microfluidic technique].

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Journal:  Se Pu       Date:  2021-06
  10 in total

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