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Defining toxicological tipping points in neuronal network development.
Frank, Christopher L; Brown, Jasmine P; Wallace, Kathleen; Wambaugh, John F; Shah, Imran; Shafer, Timothy J.
Afiliación
  • Frank CL; Integrated Systems Toxicology Division, National Health and Environmental Effects Research Laboratory, EPA, Research Triangle Park, NC, USA.
  • Brown JP; Integrated Systems Toxicology Division, National Health and Environmental Effects Research Laboratory, EPA, Research Triangle Park, NC, USA.
  • Wallace K; Integrated Systems Toxicology Division, National Health and Environmental Effects Research Laboratory, EPA, Research Triangle Park, NC, USA.
  • Wambaugh JF; National Center for Computational Toxicology, EPA, Research Triangle Park, NC, USA.
  • Shah I; National Center for Computational Toxicology, EPA, Research Triangle Park, NC, USA.
  • Shafer TJ; Integrated Systems Toxicology Division, National Health and Environmental Effects Research Laboratory, EPA, Research Triangle Park, NC, USA. Electronic address: Shafer.tim@epa.gov.
Toxicol Appl Pharmacol ; 354: 81-93, 2018 09 01.
Article en En | MEDLINE | ID: mdl-29397954
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Corteza Cerebral / Síndromes de Neurotoxicidad / Red Nerviosa / Neuronas Tipo de estudio: Etiology_studies Límite: Animals Idioma: En Revista: Toxicol Appl Pharmacol Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Corteza Cerebral / Síndromes de Neurotoxicidad / Red Nerviosa / Neuronas Tipo de estudio: Etiology_studies Límite: Animals Idioma: En Revista: Toxicol Appl Pharmacol Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos