Evaluation of neurotoxicity for pesticide-related compounds in human iPS cell-derived neurons using microelectrode array
- PMID: 37633473
- DOI: 10.1016/j.tiv.2023.105668
Evaluation of neurotoxicity for pesticide-related compounds in human iPS cell-derived neurons using microelectrode array
Abstract
In vivo evaluations of chemicals in neurotoxicity have certain limitations due to the considerable time and cost required, necessity of extrapolation from rodents to humans, and limited information on toxicity mechanisms. To address this issue, the development of in vitro test methods using new approach methodologies (NAMs) is important to evaluate the chemicals in neurotoxicity. Microelectrode array (MEA) allows the assessment of changes in neural network activity caused by compound administration. However, studies on compound evaluation criteria are scarce. In this study, we evaluated the impact of pesticides on neural activity using MEA measurements of human iPSC-derived neurons. A principal component analysis was performed on the electrical physiological parameters obtained by MEA measurements, and the influence of excessive neural activity due to compound addition was defined using the standard deviation of neural activity with solvent addition as the reference. By using known seizurogenic compounds as positive controls for neurotoxicity in MEA and evaluating pesticides with insufficient verification of their neurotoxicity in humans, we demonstrated that these pesticides exhibit neurotoxicity in humans. In conclusion, our data suggest that the neurotoxicity evaluation method in human iPSC neurons using MEA measurements could be one of the in vitro neurotoxicity test methods that could replace animal experiments.
Keywords: Human iPSC-derived neurons; Microelectrode array; Neurotoxicity; Pesticide.
Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Similar articles
-
Development of an evaluation method for addictive compounds based on electrical activity of human iPS cell-derived dopaminergic neurons using microelectrode array.Addict Biol. 2024 Oct;29(10):e13443. doi: 10.1111/adb.13443. Addict Biol. 2024. PMID: 39382235 Free PMC article.
-
Verification of the seizure liability of compounds based on their in vitro functional activity in cultured rat cortical neurons and co-cultured human iPSC-derived neurons with astrocytes and in vivo extrapolation to cerebrospinal fluid concentration.Toxicol Appl Pharmacol. 2023 Oct 1;476:116675. doi: 10.1016/j.taap.2023.116675. Epub 2023 Sep 1. Toxicol Appl Pharmacol. 2023. PMID: 37661062
-
[Method for MEA Data Analysis of Drug-treated Rat Primary Neurons and Human iPSC-derived Neurons to Evaluate the Risk of Drug-induced Seizures].Yakugaku Zasshi. 2018;138(6):823-828. doi: 10.1248/yakushi.17-00213-3. Yakugaku Zasshi. 2018. PMID: 29863054 Review. Japanese.
-
Approach to Neurotoxicity using Human iPSC Neurons: Consortium for Safety Assessment using Human iPS Cells.Curr Pharm Biotechnol. 2020;21(9):780-786. doi: 10.2174/1389201020666191129103730. Curr Pharm Biotechnol. 2020. PMID: 31782362 Review.
-
Screening the ToxCast phase II libraries for alterations in network function using cortical neurons grown on multi-well microelectrode array (mwMEA) plates.Arch Toxicol. 2018 Jan;92(1):487-500. doi: 10.1007/s00204-017-2035-5. Epub 2017 Aug 2. Arch Toxicol. 2018. PMID: 28766123 Free PMC article.
Cited by
-
Development of an evaluation method for addictive compounds based on electrical activity of human iPS cell-derived dopaminergic neurons using microelectrode array.Addict Biol. 2024 Oct;29(10):e13443. doi: 10.1111/adb.13443. Addict Biol. 2024. PMID: 39382235 Free PMC article.
-
Development of an In Vitro Assessment Method for Chemotherapy-Induced Peripheral Neuropathy (CIPN) by Integrating a Microphysiological System (MPS) with Morphological Deep Learning of Soma and Axonal Images.Toxics. 2023 Oct 10;11(10):848. doi: 10.3390/toxics11100848. Toxics. 2023. PMID: 37888698 Free PMC article.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical