Literature DB >> 29397954

Defining toxicological tipping points in neuronal network development.

Christopher L Frank1, Jasmine P Brown1, Kathleen Wallace1, John F Wambaugh2, Imran Shah2, Timothy J Shafer3.   

Abstract

Measuring electrical activity of neural networks by microelectrode array (MEA) has recently shown promise for screening level assessments of chemical toxicity on network development and function. Important aspects of interneuronal communication can be quantified from a single MEA recording, including individual firing rates, coordinated bursting, and measures of network synchrony, providing rich datasets to evaluate chemical effects. Further, multiple recordings can be made from the same network, including during the formation of these networks in vitro. The ability to perform multiple recording sessions over the in vitro development of network activity may provide further insight into developmental effects of neurotoxicants. In the current study, a recently described MEA-based screen of 86 compounds in primary rat cortical cultures over 12 days in vitro was revisited to establish a framework that integrates all available primary measures of electrical activity from MEA recordings into a composite metric for deviation from normal activity (total scalar perturbation). Examining scalar perturbations over time and increasing concentration of compound allowed for definition of critical concentrations or "tipping points" at which the neural networks switched from recovery to non-recovery trajectories for 42 compounds. These tipping point concentrations occurred at predominantly lower concentrations than those causing overt cell viability loss or disrupting individual network parameters, suggesting tipping points may be a more sensitive measure of network functional loss. Comparing tipping points for six compounds with plasma concentrations known to cause developmental neurotoxicity in vivo demonstrated strong concordance and suggests there is potential for using tipping points for chemical prioritization. Published by Elsevier Inc.

Entities:  

Keywords:  In vitro; Network development; Screening; Tipping point

Mesh:

Year:  2018        PMID: 29397954     DOI: 10.1016/j.taap.2018.01.017

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  7 in total

1.  Gene Expression Thresholds Derived From Short-term Exposures Identify Rat Liver Tumorigens.

Authors:  Thomas Hill; John Rooney; Jaleh Abedini; Hisham El-Masri; Charles E Wood; J Christopher Corton
Journal:  Toxicol Sci       Date:  2020-09-01       Impact factor: 4.849

2.  The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency.

Authors:  Russell S Thomas; Tina Bahadori; Timothy J Buckley; John Cowden; Chad Deisenroth; Kathie L Dionisio; Jeffrey B Frithsen; Christopher M Grulke; Maureen R Gwinn; Joshua A Harrill; Mark Higuchi; Keith A Houck; Michael F Hughes; E Sidney Hunter; Kristin K Isaacs; Richard S Judson; Thomas B Knudsen; Jason C Lambert; Monica Linnenbrink; Todd M Martin; Seth R Newton; Stephanie Padilla; Grace Patlewicz; Katie Paul-Friedman; Katherine A Phillips; Ann M Richard; Reeder Sams; Timothy J Shafer; R Woodrow Setzer; Imran Shah; Jane E Simmons; Steven O Simmons; Amar Singh; Jon R Sobus; Mark Strynar; Adam Swank; Rogelio Tornero-Valez; Elin M Ulrich; Daniel L Villeneuve; John F Wambaugh; Barbara A Wetmore; Antony J Williams
Journal:  Toxicol Sci       Date:  2019-06-01       Impact factor: 4.849

3.  A locust embryo as predictive developmental neurotoxicity testing system for pioneer axon pathway formation.

Authors:  Karsten Bode; Maja Bohn; Jennifer Reitmeier; Philine Betker; Michael Stern; Gerd Bicker
Journal:  Arch Toxicol       Date:  2020-10-20       Impact factor: 5.153

4.  Teratological and Behavioral Screening of the National Toxicology Program 91-Compound Library in Zebrafish (Danio rerio).

Authors:  Katharina Dach; Bianca Yaghoobi; Martin R Schmuck; Dennis R Carty; Kelly M Morales; Pamela J Lein
Journal:  Toxicol Sci       Date:  2019-01-01       Impact factor: 4.849

5.  Evaluation of chemical compounds that inhibit neurite outgrowth using GFP-labeled iPSC-derived human neurons.

Authors:  Shuaizhang Li; Li Zhang; Ruili Huang; Tuan Xu; Fred Parham; Mamta Behl; Menghang Xia
Journal:  Neurotoxicology       Date:  2021-01-27       Impact factor: 4.398

6.  The Future of Neurotoxicology: A Neuroelectrophysiological Viewpoint.

Authors:  David W Herr
Journal:  Front Toxicol       Date:  2021-12-14

7.  Use of computational toxicology tools to predict in vivo endpoints associated with Mode of Action and the endocannabinoid system: A case study with chlorpyrifos, chlorpyrifos-oxon and Δ9Tetrahydrocannabinol.

Authors:  Marilyn Silva; Ryan Kin-Hin Kwok
Journal:  Curr Res Toxicol       Date:  2022-02-07
  7 in total

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