Literature DB >> 29355688

Metabolomics profiling of steatosis progression in HepaRG® cells using sodium valproate.

Matthias Cuykx1, Leen Claes2, Robim M Rodrigues3, Tamara Vanhaecke3, Adrian Covaci4.   

Abstract

Non-alcoholic Fatty Liver Disease (NAFLD) is a frequently encountered Drug-Induced Liver Injury (DILI). Although this stage of the disease is reversible, it can lead to irreversible damage provoked by non-alcoholic steatohepatitis (NASH), fibrosis and cirrhosis. Therefore, the assessment of NAFLD is a paramount objective in toxicological screenings of new drug candidates. In this study, a metabolomic fingerprint of NAFLD induced in HepaRG® cells at four dosing schemes by a reference toxicant, sodium valproate (NaVPA), was obtained using liquid-liquid extraction followed by liquid chromatography and accurate mass-mass spectrometry (LC-AM/MS). The combination of a strict design of experiment with a robust detection method, applied on sodium valproate, validated the possibilities of untargeted metabolomics in hepatic toxicological research. Distinctive patterns between exposed and control cells were consistently observed, multivariate analyses selected up to 200 features of interest, revealing hallmark NAFLD-biomarkers, such as diacylglycerol and triglyceride accumulation and carnitine deficiency. Initial toxic responses show increased levels of S-adenosylmethionine and mono-acetylspermidine in combination with only a moderate increase in triglycerides. New specific markers of toxicity have been observed, such as spermidines, creatine, and acetylcholine. The described design of experiment provides a valuable metabolomics platform for mechanistic research of toxicological hazards and identified new markers for steatotic progression.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  HepaRG; In vitro; Liquid chromatography–mass spectrometry; Metabolomics; Steatosis; Valproic acid

Mesh:

Substances:

Year:  2018        PMID: 29355688     DOI: 10.1016/j.toxlet.2017.12.015

Source DB:  PubMed          Journal:  Toxicol Lett        ISSN: 0378-4274            Impact factor:   4.372


  10 in total

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Authors:  Richard J Weaver; Eric A Blomme; Amy E Chadwick; Ian M Copple; Helga H J Gerets; Christopher E Goldring; Andre Guillouzo; Philip G Hewitt; Magnus Ingelman-Sundberg; Klaus Gjervig Jensen; Satu Juhila; Ursula Klingmüller; Gilles Labbe; Michael J Liguori; Cerys A Lovatt; Paul Morgan; Dean J Naisbitt; Raymond H H Pieters; Jan Snoeys; Bob van de Water; Dominic P Williams; B Kevin Park
Journal:  Nat Rev Drug Discov       Date:  2019-11-20       Impact factor: 84.694

2.  Safety assessment of cosmetics by read across applied to metabolomics data of in vitro skin and liver models.

Authors:  Carine Jacques; Emilien L Jamin; Isabelle Jouanin; Cécile Canlet; Marie Tremblay-Franco; Jean-François Martin; Daniel Zalko; Yves Brunel; Sandrine Bessou-Touya; Laurent Debrauwer; Pierre-Jacques Ferret; Hélène Duplan
Journal:  Arch Toxicol       Date:  2021-08-30       Impact factor: 5.153

3.  Exposure of HepaRG Cells to Sodium Saccharin Underpins the Importance of Including Non-Hepatotoxic Compounds When Investigating Toxicological Modes of Action Using Metabolomics.

Authors:  Matthias Cuykx; Charlie Beirnaert; Robim Marcelino Rodrigues; Kris Laukens; Tamara Vanhaecke; Adrian Covaci
Journal:  Metabolites       Date:  2019-11-04

4.  Integrating in vitro metabolomics with a 96-well high-throughput screening platform.

Authors:  Julia M Malinowska; Taina Palosaari; Jukka Sund; Donatella Carpi; Mounir Bouhifd; Ralf J M Weber; Maurice Whelan; Mark R Viant
Journal:  Metabolomics       Date:  2022-01-09       Impact factor: 4.290

5.  Metabolomics coupled with network pharmacology study on the protective effect of Keguan-1 granules in LPS-induced acute lung injury.

Authors:  Shuaishuai Chen; Mingxi Zhou; Xu Zhao; Yanzhong Han; Ying Huang; Long Zhang; Jiabo Wang; Xiaohe Xiao; Pengyan Li
Journal:  Pharm Biol       Date:  2022-12       Impact factor: 3.503

6.  Early detection of metabolic changes in drug-induced steatosis using metabolomics approaches.

Authors:  Helena Y Yong; Gerald Larrouy-Maumus; Mire Zloh; Rosemary Smyth; Rayan Ataya; Christopher M Benton; Michael R Munday
Journal:  RSC Adv       Date:  2020-11-11       Impact factor: 4.036

Review 7.  In Vitro Models for Studying Chronic Drug-Induced Liver Injury.

Authors:  M Teresa Donato; Gloria Gallego-Ferrer; Laia Tolosa
Journal:  Int J Mol Sci       Date:  2022-09-28       Impact factor: 6.208

Review 8.  Cell Models and Omics Techniques for the Study of Nonalcoholic Fatty Liver Disease: Focusing on Stem Cell-Derived Cell Models.

Authors:  María Pelechá; Estela Villanueva-Bádenas; Enrique Timor-López; María Teresa Donato; Laia Tolosa
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Review 9.  From NAFLD to MAFLD: Aligning Translational In Vitro Research to Clinical Insights.

Authors:  Alexandra Gatzios; Matthias Rombaut; Karolien Buyl; Joery De Kock; Robim M Rodrigues; Vera Rogiers; Tamara Vanhaecke; Joost Boeckmans
Journal:  Biomedicines       Date:  2022-01-12

10.  Drug-induced hepatic steatosis in absence of severe mitochondrial dysfunction in HepaRG cells: proof of multiple mechanism-based toxicity.

Authors:  Julien Allard; Simon Bucher; Julie Massart; Pierre-Jean Ferron; Dounia Le Guillou; Roxane Loyant; Yoann Daniel; Youenn Launay; Nelly Buron; Karima Begriche; Annie Borgne-Sanchez; Bernard Fromenty
Journal:  Cell Biol Toxicol       Date:  2020-06-14       Impact factor: 6.691

  10 in total

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