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Study on influence of external factors on the electrical excitability of PC12 quasi-neuronal networks through Voltage Threshold Measurement Method

The aim of this paper was to investigate the influence of four different external factors (acetylcholine, ethanol, temperature and lidocaine hydrochloride) on PC12 quasi-neuronal networks by multielectrode-array-based Voltage Threshold Measurement Method (VTMM). At first, VTMM was employed to measur...

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Autores principales: Lü, Xiao-Ying, Meng, Chen, An, Shuai, Zhao, Yong-Fang, Wang, Zhi-Gong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906582/
https://www.ncbi.nlm.nih.gov/pubmed/35263381
http://dx.doi.org/10.1371/journal.pone.0265078
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author Lü, Xiao-Ying
Meng, Chen
An, Shuai
Zhao, Yong-Fang
Wang, Zhi-Gong
author_facet Lü, Xiao-Ying
Meng, Chen
An, Shuai
Zhao, Yong-Fang
Wang, Zhi-Gong
author_sort Lü, Xiao-Ying
collection PubMed
description The aim of this paper was to investigate the influence of four different external factors (acetylcholine, ethanol, temperature and lidocaine hydrochloride) on PC12 quasi-neuronal networks by multielectrode-array-based Voltage Threshold Measurement Method (VTMM). At first, VTMM was employed to measure the lowest amplitude of the voltage stimulating pulses that could just trigger the action potential from PC12 quasi-neuronal networks under normal conditions, and the amplitude was defined as the normal voltage threshold (V(Th)). Then the changes of the V(Th) of PC12 quasi-neuronal networks treated by the four external factors were tested respectively. The results showed the normal V(Th) of PC12 quasi-neuronal networks was 36 mV. The V(Th) has negative correlation with the concentration of acetylcholine and has positive correlation with the concentration of ethanol. The curves of the correlation of the V(Th) with temperature and the concentration of lidocaine hydrochloride were U-shaped and Λ-shaped respectively. Comparing with our earlier studies on hippocampal neuronal networks and hippocampal slices, PC12 quasi-neuronal networks not only had the same typical voltage threshold characteristic, but also had similar changes on electrical excitability when treated by the four external factors mentioned above. Therefore, the rapid-formed PC12 quasi-neuronal networks could replace neuronal networks in proper conditions, and VTMM could be used to analyze the influence of external factors on the electrical excitability of PC12 quasi-neuronal networks.
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spelling pubmed-89065822022-03-10 Study on influence of external factors on the electrical excitability of PC12 quasi-neuronal networks through Voltage Threshold Measurement Method Lü, Xiao-Ying Meng, Chen An, Shuai Zhao, Yong-Fang Wang, Zhi-Gong PLoS One Research Article The aim of this paper was to investigate the influence of four different external factors (acetylcholine, ethanol, temperature and lidocaine hydrochloride) on PC12 quasi-neuronal networks by multielectrode-array-based Voltage Threshold Measurement Method (VTMM). At first, VTMM was employed to measure the lowest amplitude of the voltage stimulating pulses that could just trigger the action potential from PC12 quasi-neuronal networks under normal conditions, and the amplitude was defined as the normal voltage threshold (V(Th)). Then the changes of the V(Th) of PC12 quasi-neuronal networks treated by the four external factors were tested respectively. The results showed the normal V(Th) of PC12 quasi-neuronal networks was 36 mV. The V(Th) has negative correlation with the concentration of acetylcholine and has positive correlation with the concentration of ethanol. The curves of the correlation of the V(Th) with temperature and the concentration of lidocaine hydrochloride were U-shaped and Λ-shaped respectively. Comparing with our earlier studies on hippocampal neuronal networks and hippocampal slices, PC12 quasi-neuronal networks not only had the same typical voltage threshold characteristic, but also had similar changes on electrical excitability when treated by the four external factors mentioned above. Therefore, the rapid-formed PC12 quasi-neuronal networks could replace neuronal networks in proper conditions, and VTMM could be used to analyze the influence of external factors on the electrical excitability of PC12 quasi-neuronal networks. Public Library of Science 2022-03-09 /pmc/articles/PMC8906582/ /pubmed/35263381 http://dx.doi.org/10.1371/journal.pone.0265078 Text en © 2022 Lü et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lü, Xiao-Ying
Meng, Chen
An, Shuai
Zhao, Yong-Fang
Wang, Zhi-Gong
Study on influence of external factors on the electrical excitability of PC12 quasi-neuronal networks through Voltage Threshold Measurement Method
title Study on influence of external factors on the electrical excitability of PC12 quasi-neuronal networks through Voltage Threshold Measurement Method
title_full Study on influence of external factors on the electrical excitability of PC12 quasi-neuronal networks through Voltage Threshold Measurement Method
title_fullStr Study on influence of external factors on the electrical excitability of PC12 quasi-neuronal networks through Voltage Threshold Measurement Method
title_full_unstemmed Study on influence of external factors on the electrical excitability of PC12 quasi-neuronal networks through Voltage Threshold Measurement Method
title_short Study on influence of external factors on the electrical excitability of PC12 quasi-neuronal networks through Voltage Threshold Measurement Method
title_sort study on influence of external factors on the electrical excitability of pc12 quasi-neuronal networks through voltage threshold measurement method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906582/
https://www.ncbi.nlm.nih.gov/pubmed/35263381
http://dx.doi.org/10.1371/journal.pone.0265078
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