Literature DB >> 26417342

Transcriptome based differentiation of harmless, teratogenetic and cytotoxic concentration ranges of valproic acid.

Regina Stöber1.   

Abstract

Entities:  

Year:  2014        PMID: 26417342      PMCID: PMC4464487     

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


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Currently, much effort is invested in the development and optimization of in vitro systems for toxicity testing (Godoy et al., 2013[7]; Sisnaiske et al., 2014[14]; Grinberg et al., 2014[8]; Stewart and Marchan, 2012[16]; Hengstler et al., 2012[9]). However, one major problem in this field of research is the difficulty to link observations made in vitro to adverse effects in vivo (Ghallab, 2013[6]; Bolt, 2013[2]). To come closer to a solution of this fundamental problem, Waldmann et al. (2014[20]) performed a study in which they systematically analysed concentration-dependent transcriptome alterations of valproic acid in relation to human blood concentrations known to cause teratogenic effects. Waldmann and colleagues used human stem cells that differentiate to neuronal precursor cells during a 6-days period, a test system recently developed for developmental neurotoxicity testing (Krug et al., 2013[11]; Weng et al., 2014[21]; Balmer et al., 2014[1]; Zimmer et al., 2014[22]; Leist et al., 2013[12]). Based on the results of genome-wide expression alterations the authors identified three concentration ranges: (1) A range of tolerance below 25 µM valproic acid, where no gene expression deregulation was ob-served; (2) a range of deregulation between 15 and 550 µM valproic acid. In this concentration range numerous genes involved in regulation of neuronal development were deregulated. Interestingly, this represents the range of VPA concentrations in blood, where developmental toxicity has been observed in humans. (3) The concentration range above 800 µM valproic acid, where cytotoxic ef-fects were observed. However, such high concentrations are usually not obtained in patients. Currently, developmental toxicity testing in vitro represents a cutting-edge topic, because animal tests are extremely cost- and labor- intensive (Strikwold et al., 2013[17]; Stern et al., 2014[15]; Driessen et al., 2013[4]; Cordova et al., 2013[3]; Hoelting et al., 2013[10]; Tonk et al., 2013[18]; van Thriel and Stewart, 2012[19]; Mariussen, 2012[13]; Frimat et al., 2010[5]). However, only few studies systematically compared how concentration ranges that induce (or do not induce) adverse effects in vivo influence biomarkers in in vitro systems. The study of Waldmann et al. (2014[20]) sets an example how this type of study can be designed. Of course, future work is required to see whether the good in vitro/in vivo correlation observed for valproic acid will be confirmed for further chemicals known to induce developmental toxicity.
  19 in total

1.  Highlight report: towards the replacement of in vivo repeated dose systemic toxicity testing.

Authors:  Jan G Hengstler; Rosemarie Marchan; Marcel Leist
Journal:  Arch Toxicol       Date:  2012-01       Impact factor: 5.153

2.  Test systems of developmental toxicity: state-of-the art and future perspectives.

Authors:  Marcel Leist; Annette Ringwald; Raivo Kolde; Susanne Bremer; Christoph van Thriel; Karl-Heinz Krause; Jörg Rahnenführer; Agapios Sachinidis; Jürgen Hescheler; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2013-12       Impact factor: 5.153

Review 3.  Neurotoxic effects of perfluoroalkylated compounds: mechanisms of action and environmental relevance.

Authors:  Espen Mariussen
Journal:  Arch Toxicol       Date:  2012-03-29       Impact factor: 5.153

4.  The network formation assay: a spatially standardized neurite outgrowth analytical display for neurotoxicity screening.

Authors:  Jean-Philippe Frimat; Julia Sisnaiske; Subanatarajan Subbiah; Heike Menne; Patricio Godoy; Peter Lampen; Marcel Leist; Joachim Franzke; Jan G Hengstler; Christoph van Thriel; Jonathan West
Journal:  Lab Chip       Date:  2010-01-04       Impact factor: 6.799

5.  Developmental immunotoxicity of ethanol in an extended one-generation reproductive toxicity study.

Authors:  Elisa C M Tonk; Didima M G de Groot; André P M Wolterbeek; André H Penninks; Ine D H Waalkens-Berendsen; Aldert H Piersma; Henk van Loveren
Journal:  Arch Toxicol       Date:  2012-09-25       Impact factor: 5.153

6.  Human embryonic stem cell-derived test systems for developmental neurotoxicity: a transcriptomics approach.

Authors:  Anne K Krug; Raivo Kolde; John A Gaspar; Eugen Rempel; Nina V Balmer; Kesavan Meganathan; Kinga Vojnits; Mathurin Baquié; Tanja Waldmann; Roberto Ensenat-Waser; Smita Jagtap; Richard M Evans; Stephanie Julien; Hedi Peterson; Dimitra Zagoura; Suzanne Kadereit; Daniel Gerhard; Isaia Sotiriadou; Michael Heke; Karthick Natarajan; Margit Henry; Johannes Winkler; Rosemarie Marchan; Luc Stoppini; Sieto Bosgra; Joost Westerhout; Miriam Verwei; Jaak Vilo; Andreas Kortenkamp; Jürgen Hescheler; Ludwig Hothorn; Susanne Bremer; Christoph van Thriel; Karl-Heinz Krause; Jan G Hengstler; Jörg Rahnenführer; Marcel Leist; Agapios Sachinidis
Journal:  Arch Toxicol       Date:  2012-11-21       Impact factor: 5.153

Review 7.  Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME.

Authors:  Patricio Godoy; Nicola J Hewitt; Ute Albrecht; Melvin E Andersen; Nariman Ansari; Sudin Bhattacharya; Johannes Georg Bode; Jennifer Bolleyn; Christoph Borner; Jan Böttger; Albert Braeuning; Robert A Budinsky; Britta Burkhardt; Neil R Cameron; Giovanni Camussi; Chong-Su Cho; Yun-Jaie Choi; J Craig Rowlands; Uta Dahmen; Georg Damm; Olaf Dirsch; María Teresa Donato; Jian Dong; Steven Dooley; Dirk Drasdo; Rowena Eakins; Karine Sá Ferreira; Valentina Fonsato; Joanna Fraczek; Rolf Gebhardt; Andrew Gibson; Matthias Glanemann; Chris E P Goldring; María José Gómez-Lechón; Geny M M Groothuis; Lena Gustavsson; Christelle Guyot; David Hallifax; Seddik Hammad; Adam Hayward; Dieter Häussinger; Claus Hellerbrand; Philip Hewitt; Stefan Hoehme; Hermann-Georg Holzhütter; J Brian Houston; Jens Hrach; Kiyomi Ito; Hartmut Jaeschke; Verena Keitel; Jens M Kelm; B Kevin Park; Claus Kordes; Gerd A Kullak-Ublick; Edward L LeCluyse; Peng Lu; Jennifer Luebke-Wheeler; Anna Lutz; Daniel J Maltman; Madlen Matz-Soja; Patrick McMullen; Irmgard Merfort; Simon Messner; Christoph Meyer; Jessica Mwinyi; Dean J Naisbitt; Andreas K Nussler; Peter Olinga; Francesco Pampaloni; Jingbo Pi; Linda Pluta; Stefan A Przyborski; Anup Ramachandran; Vera Rogiers; Cliff Rowe; Celine Schelcher; Kathrin Schmich; Michael Schwarz; Bijay Singh; Ernst H K Stelzer; Bruno Stieger; Regina Stöber; Yuichi Sugiyama; Ciro Tetta; Wolfgang E Thasler; Tamara Vanhaecke; Mathieu Vinken; Thomas S Weiss; Agata Widera; Courtney G Woods; Jinghai James Xu; Kathy M Yarborough; Jan G Hengstler
Journal:  Arch Toxicol       Date:  2013-08-23       Impact factor: 5.153

8.  Design principles of concentration-dependent transcriptome deviations in drug-exposed differentiating stem cells.

Authors:  Tanja Waldmann; Eugen Rempel; Nina V Balmer; André König; Raivo Kolde; John Antonydas Gaspar; Margit Henry; Jürgen Hescheler; Agapios Sachinidis; Jörg Rahnenführer; Jan G Hengstler; Marcel Leist
Journal:  Chem Res Toxicol       Date:  2014-01-21       Impact factor: 3.739

9.  A 3-dimensional human embryonic stem cell (hESC)-derived model to detect developmental neurotoxicity of nanoparticles.

Authors:  Lisa Hoelting; Benjamin Scheinhardt; Olesja Bondarenko; Stefan Schildknecht; Marion Kapitza; Vivek Tanavde; Betty Tan; Qian Yi Lee; Stefan Mecking; Marcel Leist; Suzanne Kadereit
Journal:  Arch Toxicol       Date:  2012-12-02       Impact factor: 5.153

10.  Profiling of drugs and environmental chemicals for functional impairment of neural crest migration in a novel stem cell-based test battery.

Authors:  B Zimmer; G Pallocca; N Dreser; S Foerster; T Waldmann; J Westerhout; S Julien; K H Krause; C van Thriel; J G Hengstler; A Sachinidis; S Bosgra; M Leist
Journal:  Arch Toxicol       Date:  2014-04-02       Impact factor: 5.153

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  5 in total

1.  Highlight report: New methods for quantification of bile canalicular dynamics.

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

2.  Expression classifiers for developmental toxicants.

Authors:  Raymond Reif
Journal:  EXCLI J       Date:  2015-12-22       Impact factor: 4.068

3.  Highlight report: Erroneous sample annotation in a high fraction of publicly available genome-wide expression datasets.

Authors:  Marianna Grinberg
Journal:  EXCLI J       Date:  2015-12-21       Impact factor: 4.068

4.  Highlight report: Interspecies extrapolation by physiologically based pharmacokinetic modeling.

Authors:  Agata Widera
Journal:  EXCLI J       Date:  2015-09-01       Impact factor: 4.068

5.  Definition of transcriptome-based indices for quantitative characterization of chemically disturbed stem cell development: introduction of the STOP-Toxukn and STOP-Toxukk tests.

Authors:  Vaibhav Shinde; Lisa Hoelting; Sureshkumar Perumal Srinivasan; Johannes Meisig; Kesavan Meganathan; Smita Jagtap; Marianna Grinberg; Julia Liebing; Nils Bluethgen; Jörg Rahnenführer; Eugen Rempel; Regina Stoeber; Stefan Schildknecht; Sunniva Förster; Patricio Godoy; Christoph van Thriel; John Antonydas Gaspar; Jürgen Hescheler; Tanja Waldmann; Jan G Hengstler; Marcel Leist; Agapios Sachinidis
Journal:  Arch Toxicol       Date:  2016-05-17       Impact factor: 5.153

  5 in total

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