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Prediction of liver toxicity and mode of action using metabolomics in vitro in HepG2 cells
Liver toxicity is a leading systemic toxicity of drugs and chemicals demanding more human-relevant, high throughput, cost effective in vitro solutions. In addition to contributing to animal welfare, in vitro techniques facilitate exploring and understanding the molecular mechanisms underlying toxici...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818600/ https://www.ncbi.nlm.nih.gov/pubmed/28965233 http://dx.doi.org/10.1007/s00204-017-2079-6 |
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author | Ramirez, Tzutzuy Strigun, Alexander Verlohner, Andreas Huener, Hans-Albrecht Peter, Erik Herold, Michael Bordag, Natalie Mellert, Werner Walk, Tilmann Spitzer, Michael Jiang, Xiaoqi Sperber, Saskia Hofmann, Thomas Hartung, Thomas Kamp, Hennicke van Ravenzwaay, Ben |
author_facet | Ramirez, Tzutzuy Strigun, Alexander Verlohner, Andreas Huener, Hans-Albrecht Peter, Erik Herold, Michael Bordag, Natalie Mellert, Werner Walk, Tilmann Spitzer, Michael Jiang, Xiaoqi Sperber, Saskia Hofmann, Thomas Hartung, Thomas Kamp, Hennicke van Ravenzwaay, Ben |
author_sort | Ramirez, Tzutzuy |
collection | PubMed |
description | Liver toxicity is a leading systemic toxicity of drugs and chemicals demanding more human-relevant, high throughput, cost effective in vitro solutions. In addition to contributing to animal welfare, in vitro techniques facilitate exploring and understanding the molecular mechanisms underlying toxicity. New ‘omics technologies can provide comprehensive information on the toxicological mode of action of compounds, as well as quantitative information about the multi-parametric metabolic response of cellular systems in normal and patho-physiological conditions. Here, we combined mass-spectroscopy metabolomics with an in vitro liver toxicity model. Metabolite profiles of HepG2 cells treated with 35 test substances resulted in 1114 cell supernatants and 3556 intracellular samples analyzed by metabolomics. Control samples showed relative standard deviations of about 10–15%, while the technical replicates were at 5–10%. Importantly, this procedure revealed concentration–response effects and patterns of metabolome changes that are consistent for different liver toxicity mechanisms (liver enzyme induction/inhibition, liver toxicity and peroxisome proliferation). Our findings provide evidence that identifying organ toxicity can be achieved in a robust, reliable, human-relevant system, representing a non-animal alternative for systemic toxicology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00204-017-2079-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5818600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-58186002018-02-27 Prediction of liver toxicity and mode of action using metabolomics in vitro in HepG2 cells Ramirez, Tzutzuy Strigun, Alexander Verlohner, Andreas Huener, Hans-Albrecht Peter, Erik Herold, Michael Bordag, Natalie Mellert, Werner Walk, Tilmann Spitzer, Michael Jiang, Xiaoqi Sperber, Saskia Hofmann, Thomas Hartung, Thomas Kamp, Hennicke van Ravenzwaay, Ben Arch Toxicol Organ Toxicity and Mechanisms Liver toxicity is a leading systemic toxicity of drugs and chemicals demanding more human-relevant, high throughput, cost effective in vitro solutions. In addition to contributing to animal welfare, in vitro techniques facilitate exploring and understanding the molecular mechanisms underlying toxicity. New ‘omics technologies can provide comprehensive information on the toxicological mode of action of compounds, as well as quantitative information about the multi-parametric metabolic response of cellular systems in normal and patho-physiological conditions. Here, we combined mass-spectroscopy metabolomics with an in vitro liver toxicity model. Metabolite profiles of HepG2 cells treated with 35 test substances resulted in 1114 cell supernatants and 3556 intracellular samples analyzed by metabolomics. Control samples showed relative standard deviations of about 10–15%, while the technical replicates were at 5–10%. Importantly, this procedure revealed concentration–response effects and patterns of metabolome changes that are consistent for different liver toxicity mechanisms (liver enzyme induction/inhibition, liver toxicity and peroxisome proliferation). Our findings provide evidence that identifying organ toxicity can be achieved in a robust, reliable, human-relevant system, representing a non-animal alternative for systemic toxicology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00204-017-2079-6) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-09-30 2018 /pmc/articles/PMC5818600/ /pubmed/28965233 http://dx.doi.org/10.1007/s00204-017-2079-6 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Organ Toxicity and Mechanisms Ramirez, Tzutzuy Strigun, Alexander Verlohner, Andreas Huener, Hans-Albrecht Peter, Erik Herold, Michael Bordag, Natalie Mellert, Werner Walk, Tilmann Spitzer, Michael Jiang, Xiaoqi Sperber, Saskia Hofmann, Thomas Hartung, Thomas Kamp, Hennicke van Ravenzwaay, Ben Prediction of liver toxicity and mode of action using metabolomics in vitro in HepG2 cells |
title | Prediction of liver toxicity and mode of action using metabolomics in vitro in HepG2 cells |
title_full | Prediction of liver toxicity and mode of action using metabolomics in vitro in HepG2 cells |
title_fullStr | Prediction of liver toxicity and mode of action using metabolomics in vitro in HepG2 cells |
title_full_unstemmed | Prediction of liver toxicity and mode of action using metabolomics in vitro in HepG2 cells |
title_short | Prediction of liver toxicity and mode of action using metabolomics in vitro in HepG2 cells |
title_sort | prediction of liver toxicity and mode of action using metabolomics in vitro in hepg2 cells |
topic | Organ Toxicity and Mechanisms |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818600/ https://www.ncbi.nlm.nih.gov/pubmed/28965233 http://dx.doi.org/10.1007/s00204-017-2079-6 |
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