Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
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
_version_ 1783301057569357824
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
work_keys_str_mv AT ramireztzutzuy predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT strigunalexander predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT verlohnerandreas predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT huenerhansalbrecht predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT petererik predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT heroldmichael predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT bordagnatalie predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT mellertwerner predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT walktilmann predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT spitzermichael predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT jiangxiaoqi predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT sperbersaskia predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT hofmannthomas predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT hartungthomas predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT kamphennicke predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells
AT vanravenzwaayben predictionoflivertoxicityandmodeofactionusingmetabolomicsinvitroinhepg2cells