Literature DB >> 35172012

Integrating Data From In Vitro New Approach Methodologies for Developmental Neurotoxicity.

Kelly E Carstens1,2, Amy F Carpenter1,2, Melissa M Martin1, Joshua A Harrill1, Timothy J Shafer1, Katie Paul Friedman1.   

Abstract

In vivo developmental neurotoxicity (DNT) testing is resource intensive and lacks information on cellular processes affected by chemicals. To address this, DNT new approach methodologies (NAMs) are being evaluated, including: the microelectrode array neuronal network formation assay; and high-content imaging to evaluate proliferation, apoptosis, neurite outgrowth, and synaptogenesis. This work addresses 3 hypotheses: (1) a broad screening battery provides a sensitive marker of DNT bioactivity; (2) selective bioactivity (occurring at noncytotoxic concentrations) may indicate functional processes disrupted; and, (3) a subset of endpoints may optimally classify chemicals with in vivo evidence for DNT. The dataset was comprised of 92 chemicals screened in all 57 assay endpoints sourced from publicly available data, including a set of DNT NAM evaluation chemicals with putative positives (53) and negatives (13). The DNT NAM battery provides a sensitive marker of DNT bioactivity, particularly in cytotoxicity and network connectivity parameters. Hierarchical clustering suggested potency (including cytotoxicity) was important for classifying positive chemicals with high sensitivity (93%) but failed to distinguish patterns of disrupted functional processes. In contrast, clustering of selective values revealed informative patterns of differential activity but demonstrated lower sensitivity (74%). The false negatives were associated with several limitations, such as the maximal concentration tested or gaps in the biology captured by the current battery. This work demonstrates that this multi-dimensional assay suite provides a sensitive biomarker for DNT bioactivity, with selective activity providing possible insight into specific functional processes affected by chemical exposure and a basis for further research. Published by Oxford University Press on behalf of the Society of Toxicology 2022. This work is written by US Government employees and is in the public domain in the US.

Entities:  

Keywords:  computational toxicology; developmental neurotoxicity; high throughput

Mesh:

Year:  2022        PMID: 35172012      PMCID: PMC9421662          DOI: 10.1093/toxsci/kfac018

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.109


  70 in total

1.  Integration of dosimetry, exposure, and high-throughput screening data in chemical toxicity assessment.

Authors:  Barbara A Wetmore; John F Wambaugh; Stephen S Ferguson; Mark A Sochaski; Daniel M Rotroff; Kimberly Freeman; Harvey J Clewell; David J Dix; Melvin E Andersen; Keith A Houck; Brittany Allen; Richard S Judson; Reetu Singh; Robert J Kavlock; Ann M Richard; Russell S Thomas
Journal:  Toxicol Sci       Date:  2011-09-26       Impact factor: 4.849

2.  Sphere formation of ocular epithelial cells in the ciliary body is a reprogramming system for neural differentiation.

Authors:  Ri-ichiro Kohno; Yasuhiro Ikeda; Yoshikazu Yonemitsu; Toshio Hisatomi; Masahiro Yamaguchi; Masanori Miyazaki; Hiroko Takeshita; Tatsuro Ishibashi; Katsuo Sueishi
Journal:  Brain Res       Date:  2006-05-11       Impact factor: 3.252

3.  The antidepressant fluoxetine but not citalopram suppresses synapse formation and synaptic transmission between Lymnaea neurons by perturbing presynaptic and postsynaptic machinery.

Authors:  Angela Getz; Fenglian Xu; Wali Zaidi; Naweed I Syed
Journal:  Eur J Neurosci       Date:  2011-07-04       Impact factor: 3.386

4.  Development and analysis of an adverse outcome pathway network for human neurotoxicity.

Authors:  Nicoleta Spinu; Anna Bal-Price; Mark T D Cronin; Steven J Enoch; Judith C Madden; Andrew P Worth
Journal:  Arch Toxicol       Date:  2019-08-23       Impact factor: 5.153

Review 5.  In vitro to in vivo extrapolation for high throughput prioritization and decision making.

Authors:  Shannon M Bell; Xiaoqing Chang; John F Wambaugh; David G Allen; Mike Bartels; Kim L R Brouwer; Warren M Casey; Neepa Choksi; Stephen S Ferguson; Grazyna Fraczkiewicz; Annie M Jarabek; Alice Ke; Annie Lumen; Scott G Lynn; Alicia Paini; Paul S Price; Caroline Ring; Ted W Simon; Nisha S Sipes; Catherine S Sprankle; Judy Strickland; John Troutman; Barbara A Wetmore; Nicole C Kleinstreuer
Journal:  Toxicol In Vitro       Date:  2017-12-05       Impact factor: 3.500

6.  Evaluation of Chemical Effects on Network Formation in Cortical Neurons Grown on Microelectrode Arrays.

Authors:  Timothy J Shafer; Jasmine P Brown; Brittany Lynch; Sylmarie Davila-Montero; Kathleen Wallace; Katie Paul Friedman
Journal:  Toxicol Sci       Date:  2019-06-01       Impact factor: 4.849

7.  Developmental neurotoxicity of chlorpyrifos: cellular mechanisms.

Authors:  K D Whitney; F J Seidler; T A Slotkin
Journal:  Toxicol Appl Pharmacol       Date:  1995-09       Impact factor: 4.219

8.  Development and plasticity of the hippocampal-cholinergic system in normal and early lead exposed rats.

Authors:  D P Alfano; T L Petit; J C LeBoutillier
Journal:  Brain Res       Date:  1983-10       Impact factor: 3.252

9.  Behavioral effects of prenatal haloperidol exposure.

Authors:  F M Scalzo; S F Ali; R R Holson
Journal:  Pharmacol Biochem Behav       Date:  1989-12       Impact factor: 3.533

Review 10.  Critical periods of vulnerability for the developing nervous system: evidence from humans and animal models.

Authors:  D Rice; S Barone
Journal:  Environ Health Perspect       Date:  2000-06       Impact factor: 9.031

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  1 in total

1.  Developmental Neurotoxicity and Behavioral Screening in Larval Zebrafish with a Comparison to Other Published Results.

Authors:  Kimberly A Jarema; Deborah L Hunter; Bridgett N Hill; Jeanene K Olin; Katy N Britton; Matthew R Waalkes; Stephanie Padilla
Journal:  Toxics       Date:  2022-05-17
  1 in total

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