Literature DB >> 29333135

Highlight report: Metabolomics in hepatotoxicity testing.

Ahmed Ghallab1.   

Abstract

Entities:  

Year:  2017        PMID: 29333135      PMCID: PMC5763079          DOI: 10.17179/excli2017-1041

Source DB:  PubMed          Journal:  EXCLI J        ISSN: 1611-2156            Impact factor:   4.068


× No keyword cloud information.



Hepatotoxicity is one of the most frequent forms of systemic toxicity of drugs and a leading cause for drug withdrawal from the market. To improve the possibilities to predict hepatotoxicity, Tzutzuy Ramirez and colleagues from BASF in Ludwigshafen recently tested a metabolomics based in vitro system (Ramirez et al., 2017[20]). They exposed HepG2 cells to 35 test compounds and applied LC-MS/MS as well as GC-MS to quantify 89 metabolites in the culture medium supernatant and 194 intracellular metabolites. A main focus was to determine quality criteria, such as reproducibility and concentration dependency of the test system. The relative standard deviations of technical replicates were in the range of 5-10 %, while controls from different days were between 10 and 15 % (Ramirez et al., 2017[20]). This is an excellent reproducibility for an in vitro system. Moreover, convincing concentration-response relationships were obtained and metabolite patterns could be associated with specific mechanisms of toxicity, such as peroxisome proliferation and liver enzyme induction or inhibition (Ramirez et al., 2017[20]). Therefore, the HepG2 metabolomics technique represents a promising new candidate in the field of in vitro hepatotoxicity prediction. Limitations are that the HepG2 cells show major metabolic differences compared to human hepatocytes. Moreover, the present study did not yet include a systematic comparison of negative and positive controls at in vivo relevant concentrations, which remains a challenge for the future. Currently, mechanisms of hepatotoxicity represent a major focus in toxicological research (Kyriakides et al., 2016[18]; Ghallab, 2015[7]; Ramachandran et al., 2015[19]; Chen et al., 2015[4]; Campos et al., 2014[3]; Hammad et al., 2014[14]; Hassan, 2016[15]; Stöber, 2015[23]). Despite progress in the field of stem cell research (Gómez-Lechón and Tolosa, 2016[12]; Godoy et al., 2016[11]; Cameron et al., 2015[2]) and studies with cell lines (Tolosa et al., 2015[25]; Hewitt et al., 2007[16]; Godoy et al., 2013[10]), primary hepatocytes still remain a gold standard (Reif et al., 2015[22]; Grinberg et al., 2014[13]; Stöber, 2015[23]; Ghallab, 2015[6]; Arbo et al., 2016[1]). Moreover PBPK modeling (Ghallab, 2015[8]; Reif et al., 2017[21]; Thiel et al., 2015[24]) and spatio-temporal models (Ghallab et al., 2016[9]; Vartak et al., 2016[26]; Jansen et al., 2017[17]; Friebel et al., 2015[5]) have supported our understanding of the mechanisms of liver toxicity. The next year will show whether the novel HepG2 metabolomics assay can be integrated into useful test batteries for a better prediction of human hepatotoxicity.
  26 in total

1.  Highlight report: acetaminophen hepatotoxicity.

Authors:  Ahmed Ghallab
Journal:  Arch Toxicol       Date:  2015-12       Impact factor: 5.153

Review 2.  Primary hepatocytes: current understanding of the regulation of metabolic enzymes and transporter proteins, and pharmaceutical practice for the use of hepatocytes in metabolism, enzyme induction, transporter, clearance, and hepatotoxicity studies.

Authors:  Nicola J Hewitt; María José Gómez Lechón; J Brian Houston; David Hallifax; Hayley S Brown; Patrick Maurel; J Gerald Kenna; Lena Gustavsson; Christina Lohmann; Christian Skonberg; Andre Guillouzo; Gregor Tuschl; Albert P Li; Edward LeCluyse; Geny M M Groothuis; Jan G Hengstler
Journal:  Drug Metab Rev       Date:  2007       Impact factor: 4.518

3.  TiQuant: software for tissue analysis, quantification and surface reconstruction.

Authors:  Adrian Friebel; Johannes Neitsch; Tim Johann; Seddik Hammad; Jan G Hengstler; Dirk Drasdo; Stefan Hoehme
Journal:  Bioinformatics       Date:  2015-06-03       Impact factor: 6.937

4.  A systematic evaluation of the use of physiologically based pharmacokinetic modeling for cross-species extrapolation.

Authors:  Christoph Thiel; Sebastian Schneckener; Markus Krauss; Ahmed Ghallab; Ute Hofmann; Tobias Kanacher; Sebastian Zellmer; Rolf Gebhardt; Jan G Hengstler; Lars Kuepfer
Journal:  J Pharm Sci       Date:  2014-11-12       Impact factor: 3.534

Review 5.  High-content screening technology for studying drug-induced hepatotoxicity in cell models.

Authors:  Laia Tolosa; M José Gómez-Lechón; M Teresa Donato
Journal:  Arch Toxicol       Date:  2015-03-19       Impact factor: 5.153

6.  Hepatotoxicity of piperazine designer drugs: up-regulation of key enzymes of cholesterol and lipid biosynthesis.

Authors:  Marcelo Dutra Arbo; Simone Melega; Regina Stöber; Markus Schug; Eugen Rempel; Jörg Rahnenführer; Patricio Godoy; Raymond Reif; Cristina Cadenas; Maria de Lourdes Bastos; Helena Carmo; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2016-01-28       Impact factor: 5.153

7.  Interspecies extrapolation by physiologically based pharmacokinetic modeling.

Authors:  Ahmed Ghallab
Journal:  EXCLI J       Date:  2015-12-21       Impact factor: 4.068

8.  Possibilities and limitations of intravital imaging.

Authors:  Reham Hassan
Journal:  EXCLI J       Date:  2016-12-23       Impact factor: 4.068

9.  Gene network activity in cultivated primary hepatocytes is highly similar to diseased mammalian liver tissue.

Authors:  Patricio Godoy; Agata Widera; Wolfgang Schmidt-Heck; Gisela Campos; Christoph Meyer; Cristina Cadenas; Raymond Reif; Regina Stöber; Seddik Hammad; Larissa Pütter; Kathrin Gianmoena; Rosemarie Marchan; Ahmed Ghallab; Karolina Edlund; Andreas Nüssler; Wolfgang E Thasler; Georg Damm; Daniel Seehofer; Thomas S Weiss; Olaf Dirsch; Uta Dahmen; Rolf Gebhardt; Umesh Chaudhari; Kesavan Meganathan; Agapios Sachinidis; Jens Kelm; Ute Hofmann; René P Zahedi; Reinhard Guthke; Nils Blüthgen; Steven Dooley; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2016-06-23       Impact factor: 5.153

10.  Bile canalicular dynamics in hepatocyte sandwich cultures.

Authors:  Raymond Reif; Johan Karlsson; Georgia Günther; Lynette Beattie; David Wrangborg; Seddik Hammad; Brigitte Begher-Tibbe; Amruta Vartak; Simone Melega; Paul M Kaye; Jan G Hengstler; Mats Jirstrand
Journal:  Arch Toxicol       Date:  2015-08-18       Impact factor: 5.153

View more
  4 in total

1.  Highlight report: Necrosis-apoptosis conundrum of hepatocytes: mode of hepatocyte death after acetaminophen intoxication.

Authors:  Ahmed Ghallab
Journal:  EXCLI J       Date:  2018-12-19       Impact factor: 4.068

2.  Highlight report: Toxicogenomics atlas of rat hepatotoxicants.

Authors:  Florian Seidel
Journal:  EXCLI J       Date:  2018-12-20       Impact factor: 4.068

3.  Highlight report: Protection of cholestatic livers by shunting of bile from canaliculi to sinusoids.

Authors:  Tahany Abbass; Walaa Murad; Abdel-Latif Seddek
Journal:  EXCLI J       Date:  2018-11-19       Impact factor: 4.068

4.  Liver fibrosis causes periportalization of lobular zonation.

Authors:  Abdellatief Seddek
Journal:  EXCLI J       Date:  2019-12-20       Impact factor: 4.068

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.