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Numerical study on the effect of capacitively coupled electrical stimulation on biological cells considering model uncertainties

Electrical stimulation of biological samples such as tissues and cell cultures attracts growing attention due to its capability of enhancing cell activity, proliferation, and differentiation. Eventually, a profound knowledge of the underlying mechanisms paves the way for innovative therapeutic devic...

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Autores principales: Zimmermann, Julius, Altenkirch, Richard, van Rienen, Ursula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933463/
https://www.ncbi.nlm.nih.gov/pubmed/35304501
http://dx.doi.org/10.1038/s41598-022-08279-w
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author Zimmermann, Julius
Altenkirch, Richard
van Rienen, Ursula
author_facet Zimmermann, Julius
Altenkirch, Richard
van Rienen, Ursula
author_sort Zimmermann, Julius
collection PubMed
description Electrical stimulation of biological samples such as tissues and cell cultures attracts growing attention due to its capability of enhancing cell activity, proliferation, and differentiation. Eventually, a profound knowledge of the underlying mechanisms paves the way for innovative therapeutic devices. Capacitive coupling is one option of delivering electric fields to biological samples that has advantages regarding biocompatibility. However, its biological mechanism of interaction is not well understood. Experimental findings could be related to voltage-gated channels, which are triggered by changes of the transmembrane potential. Numerical simulations by the finite element method provide a possibility to estimate the transmembrane potential. Since a full resolution of the cell membrane within a macroscopic model would lead to prohibitively expensive models, we suggest the adaptation of an approximate finite element method. Starting from a basic 2.5D model, the chosen method is validated and applied to realistic experimental situations. To understand the influence of the dielectric properties on the modelling outcome, uncertainty quantification techniques are employed. A frequency-dependent influence of the uncertain dielectric properties of the cell membrane on the modelling outcome is revealed. This may have practical implications for future experimental studies. Our methodology can be easily adapted for computational studies relying on experimental data.
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spelling pubmed-89334632022-03-28 Numerical study on the effect of capacitively coupled electrical stimulation on biological cells considering model uncertainties Zimmermann, Julius Altenkirch, Richard van Rienen, Ursula Sci Rep Article Electrical stimulation of biological samples such as tissues and cell cultures attracts growing attention due to its capability of enhancing cell activity, proliferation, and differentiation. Eventually, a profound knowledge of the underlying mechanisms paves the way for innovative therapeutic devices. Capacitive coupling is one option of delivering electric fields to biological samples that has advantages regarding biocompatibility. However, its biological mechanism of interaction is not well understood. Experimental findings could be related to voltage-gated channels, which are triggered by changes of the transmembrane potential. Numerical simulations by the finite element method provide a possibility to estimate the transmembrane potential. Since a full resolution of the cell membrane within a macroscopic model would lead to prohibitively expensive models, we suggest the adaptation of an approximate finite element method. Starting from a basic 2.5D model, the chosen method is validated and applied to realistic experimental situations. To understand the influence of the dielectric properties on the modelling outcome, uncertainty quantification techniques are employed. A frequency-dependent influence of the uncertain dielectric properties of the cell membrane on the modelling outcome is revealed. This may have practical implications for future experimental studies. Our methodology can be easily adapted for computational studies relying on experimental data. Nature Publishing Group UK 2022-03-18 /pmc/articles/PMC8933463/ /pubmed/35304501 http://dx.doi.org/10.1038/s41598-022-08279-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zimmermann, Julius
Altenkirch, Richard
van Rienen, Ursula
Numerical study on the effect of capacitively coupled electrical stimulation on biological cells considering model uncertainties
title Numerical study on the effect of capacitively coupled electrical stimulation on biological cells considering model uncertainties
title_full Numerical study on the effect of capacitively coupled electrical stimulation on biological cells considering model uncertainties
title_fullStr Numerical study on the effect of capacitively coupled electrical stimulation on biological cells considering model uncertainties
title_full_unstemmed Numerical study on the effect of capacitively coupled electrical stimulation on biological cells considering model uncertainties
title_short Numerical study on the effect of capacitively coupled electrical stimulation on biological cells considering model uncertainties
title_sort numerical study on the effect of capacitively coupled electrical stimulation on biological cells considering model uncertainties
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933463/
https://www.ncbi.nlm.nih.gov/pubmed/35304501
http://dx.doi.org/10.1038/s41598-022-08279-w
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