Literature DB >> 19647728

Cytometric analysis for drug-induced steatosis in HepG2 cells.

M Teresa Donato1, Alicia Martínez-Romero, Nuria Jiménez, Alejandro Negro, Guadalupe Herrera, José V Castell, José-Enrique O'Connor, M José Gómez-Lechón.   

Abstract

Drugs are capable of inducing hepatic lipid accumulation. When fat accumulates, lipids are primarily stored as triglycerides which results in steatosis and provides substrates for lipid peroxidation. An in vitro multiparametric flow cytometry assay was performed in HepG2 cells by using fluorescent probes to analyze cell viability (propidium iodide, PI), lipid accumulation (BODIPY493/503), mitochondrial membrane potential (tetramethyl rhodamine methyl ester, TMRM) and reactive oxygen species generation (ROS) (2',7'-dihydrochlorofluorescein diacetate, DHCF-DA) as functional markers. All the measurements were restricted to live cells by gating the cells that excluded PI or those that exhibited the typical forward and side scatter features of live cells. The assay was qualified by analyzing a number of selected model drugs with a well documented induction of steatosis in vivo using different mechanisms as positive controls and several non-steatosic compounds as negative controls. For the cytometric screening assay, the concentrations tested were up to the corresponding IC(10) value determined by the MTT assay. Among the parameters analyzed, increased BODIPY fluorescence was the most sensitive and selective marker of drug-induced steatosis. However, a more consistent predictive approach was the combination of two endpoints: lipid accumulation and ROS generation. The assay correctly identified 100% of steatosis-positive and steatosis-negative compounds, and a high steatosis risk was predicted for amiodarone, doxycycline, tetracycline and valproate treatments at therapeutic doses. The results suggest that this cell-based assay may be a useful approach to identify the potential of drug candidates to induce steatosis.

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Year:  2009        PMID: 19647728     DOI: 10.1016/j.cbi.2009.07.019

Source DB:  PubMed          Journal:  Chem Biol Interact        ISSN: 0009-2797            Impact factor:   5.192


  14 in total

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4.  Determination of drug toxicity using 3D spheroids constructed from an immortal human hepatocyte cell line.

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Review 5.  Comprehensive Evaluation of Organotypic and Microphysiological Liver Models for Prediction of Drug-Induced Liver Injury.

Authors:  Yitian Zhou; Joanne X Shen; Volker M Lauschke
Journal:  Front Pharmacol       Date:  2019-09-24       Impact factor: 5.810

6.  High-Content Assay Multiplexing for Toxicity Screening in Induced Pluripotent Stem Cell-Derived Cardiomyocytes and Hepatocytes.

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8.  A metabolomics cell-based approach for anticipating and investigating drug-induced liver injury.

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Journal:  Sci Rep       Date:  2016-06-06       Impact factor: 4.379

9.  Customised in vitro model to detect human metabolism-dependent idiosyncratic drug-induced liver injury.

Authors:  Laia Tolosa; Nuria Jiménez; Gabriela Pérez; José V Castell; M José Gómez-Lechón; M Teresa Donato
Journal:  Arch Toxicol       Date:  2017-07-31       Impact factor: 5.153

10.  Effect of Toxicants on Fatty Acid Metabolism in HepG2 Cells.

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Journal:  Front Pharmacol       Date:  2018-04-23       Impact factor: 5.810

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