Limitations in electrophysiological model development and validation caused by differences between simulations and experimental protocols
Models of ion channel dynamics are usually built by fitting isolated cell experimental values of individual parameters while neglecting the interaction between them. Another shortcoming regards the estimation of ionic current conductances, which is often based on quantification of Action Potential (...
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Veröffentlicht in: | Progress in biophysics and molecular biology 2017-10, Vol.129, p.53-64 |
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description | Models of ion channel dynamics are usually built by fitting isolated cell experimental values of individual parameters while neglecting the interaction between them. Another shortcoming regards the estimation of ionic current conductances, which is often based on quantification of Action Potential (AP)-derived markers. Although this procedure reduces the uncertainty in the calculation of conductances, many studies evaluate electrophysiological AP-derived markers from single cell simulations, whereas experimental measurements are obtained from tissue preparations. In this work, we explore the limitations of these approaches to estimate ion channel dynamics and maximum current conductances and how they could be overcome by using multiscale simulations of experimental protocols.
Four human ventricular cell models, namely ten Tusscher and Panfilov (2006), Grandi et al. (2010), O'Hara et al. (2011), and Carro et al. (2011), were used. Two problems involving scales from ion channels to tissue were investigated: 1) characterization of L-type calcium voltage-dependent inactivation ICa,L; 2) identification of major ionic conductance contributors to steady-state AP markers, including APD90, APD75, APD50, APD25, Triangulation and maximal and minimal values of V and dV/dt during the AP (Vmax, Vmin, dV/dtmax, dV/dtmin).
Our results show that: 1) ICa,L inactivation characteristics differed significantly when calculated from model equations and from simulations reproducing the experimental protocols. 2) Large differences were found in the ionic currents contributors to APD25, Triangulation, Vmax, dV/dtmax and dV/dtmin between single cells and 1D-tissue.
When proposing any new model formulation, or evaluating an existing model, consistency between simulated and experimental data should be verified considering all involved effects and scales. |
doi_str_mv | 10.1016/j.pbiomolbio.2016.11.006 |
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Four human ventricular cell models, namely ten Tusscher and Panfilov (2006), Grandi et al. (2010), O'Hara et al. (2011), and Carro et al. (2011), were used. Two problems involving scales from ion channels to tissue were investigated: 1) characterization of L-type calcium voltage-dependent inactivation ICa,L; 2) identification of major ionic conductance contributors to steady-state AP markers, including APD90, APD75, APD50, APD25, Triangulation and maximal and minimal values of V and dV/dt during the AP (Vmax, Vmin, dV/dtmax, dV/dtmin).
Our results show that: 1) ICa,L inactivation characteristics differed significantly when calculated from model equations and from simulations reproducing the experimental protocols. 2) Large differences were found in the ionic currents contributors to APD25, Triangulation, Vmax, dV/dtmax and dV/dtmin between single cells and 1D-tissue.
When proposing any new model formulation, or evaluating an existing model, consistency between simulated and experimental data should be verified considering all involved effects and scales.</description><identifier>ISSN: 0079-6107</identifier><identifier>EISSN: 1873-1732</identifier><identifier>DOI: 10.1016/j.pbiomolbio.2016.11.006</identifier><identifier>PMID: 27899270</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Action potential ; Action Potentials ; Biomarkers - metabolism ; Calcium - metabolism ; Calcium Channels, L-Type - metabolism ; Cardiac modeling ; Electrophysiological Phenomena ; Electrophysiology ; Heart Ventricles - cytology ; Heart Ventricles - metabolism ; Humans ; Ionic currents ; Model validation ; Models, Cardiovascular</subject><ispartof>Progress in biophysics and molecular biology, 2017-10, Vol.129, p.53-64</ispartof><rights>2016 Elsevier Ltd</rights><rights>Copyright © 2016 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-17ca97c42d8dab2dfc6b7b1c7607061370b8eceffa5ecf685f3bc8f0889aa8bd3</citedby><cites>FETCH-LOGICAL-c424t-17ca97c42d8dab2dfc6b7b1c7607061370b8eceffa5ecf685f3bc8f0889aa8bd3</cites><orcidid>0000-0001-7789-2973</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S007961071630013X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27899270$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Carro, Jesús</creatorcontrib><creatorcontrib>Rodríguez-Matas, José F.</creatorcontrib><creatorcontrib>Monasterio, Violeta</creatorcontrib><creatorcontrib>Pueyo, Esther</creatorcontrib><title>Limitations in electrophysiological model development and validation caused by differences between simulations and experimental protocols</title><title>Progress in biophysics and molecular biology</title><addtitle>Prog Biophys Mol Biol</addtitle><description>Models of ion channel dynamics are usually built by fitting isolated cell experimental values of individual parameters while neglecting the interaction between them. Another shortcoming regards the estimation of ionic current conductances, which is often based on quantification of Action Potential (AP)-derived markers. Although this procedure reduces the uncertainty in the calculation of conductances, many studies evaluate electrophysiological AP-derived markers from single cell simulations, whereas experimental measurements are obtained from tissue preparations. In this work, we explore the limitations of these approaches to estimate ion channel dynamics and maximum current conductances and how they could be overcome by using multiscale simulations of experimental protocols.
Four human ventricular cell models, namely ten Tusscher and Panfilov (2006), Grandi et al. (2010), O'Hara et al. (2011), and Carro et al. (2011), were used. Two problems involving scales from ion channels to tissue were investigated: 1) characterization of L-type calcium voltage-dependent inactivation ICa,L; 2) identification of major ionic conductance contributors to steady-state AP markers, including APD90, APD75, APD50, APD25, Triangulation and maximal and minimal values of V and dV/dt during the AP (Vmax, Vmin, dV/dtmax, dV/dtmin).
Our results show that: 1) ICa,L inactivation characteristics differed significantly when calculated from model equations and from simulations reproducing the experimental protocols. 2) Large differences were found in the ionic currents contributors to APD25, Triangulation, Vmax, dV/dtmax and dV/dtmin between single cells and 1D-tissue.
When proposing any new model formulation, or evaluating an existing model, consistency between simulated and experimental data should be verified considering all involved effects and scales.</description><subject>Action potential</subject><subject>Action Potentials</subject><subject>Biomarkers - metabolism</subject><subject>Calcium - metabolism</subject><subject>Calcium Channels, L-Type - metabolism</subject><subject>Cardiac modeling</subject><subject>Electrophysiological Phenomena</subject><subject>Electrophysiology</subject><subject>Heart Ventricles - cytology</subject><subject>Heart Ventricles - metabolism</subject><subject>Humans</subject><subject>Ionic currents</subject><subject>Model validation</subject><subject>Models, Cardiovascular</subject><issn>0079-6107</issn><issn>1873-1732</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUc2O0zAQthCI7S68AvKRS8M4aWLnCCvYRarEZTlb_hmDKycOdlLoI-xb49CyHLmMR9b3MzMfIZRBxYB17w7VpH0cYii1qstPxVgF0D0jGyZ4s2W8qZ-TDQDvtx0DfkWucz4AQM1495Jc1Vz0fc1hQx73fvCzmn0cM_UjxYBmTnH6fso-hvjNGxXoEC0GavGIIU4DjjNVo6VHFbz9w6RGLRkt1SdqvXOYcDSYqcb5J-JIsx-WcLFYifhrwuRXnaI9pThHE0N-RV44FTK-vrw35Ounjw-399v9l7vPt-_3W7Ord3NZzaiel94Kq3Rtnek018zwDjh0rOGgBRp0TrVoXCda12gjHAjRKyW0bW7I27Nucf6xYJ7l4LPBENSIccmSiV1bt9CKtkDFGWpSzDmhk1OZW6WTZCDXIORB_gtCrkFIxmQJolDfXFwWPaB9Iv69fAF8OAOw7Hr0mGQ2fr2b9alEIG30_3f5Dc6gpRg</recordid><startdate>201710</startdate><enddate>201710</enddate><creator>Carro, Jesús</creator><creator>Rodríguez-Matas, José F.</creator><creator>Monasterio, Violeta</creator><creator>Pueyo, Esther</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7789-2973</orcidid></search><sort><creationdate>201710</creationdate><title>Limitations in electrophysiological model development and validation caused by differences between simulations and experimental protocols</title><author>Carro, Jesús ; Rodríguez-Matas, José F. ; Monasterio, Violeta ; Pueyo, Esther</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-17ca97c42d8dab2dfc6b7b1c7607061370b8eceffa5ecf685f3bc8f0889aa8bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Action potential</topic><topic>Action Potentials</topic><topic>Biomarkers - metabolism</topic><topic>Calcium - metabolism</topic><topic>Calcium Channels, L-Type - metabolism</topic><topic>Cardiac modeling</topic><topic>Electrophysiological Phenomena</topic><topic>Electrophysiology</topic><topic>Heart Ventricles - cytology</topic><topic>Heart Ventricles - metabolism</topic><topic>Humans</topic><topic>Ionic currents</topic><topic>Model validation</topic><topic>Models, Cardiovascular</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carro, Jesús</creatorcontrib><creatorcontrib>Rodríguez-Matas, José F.</creatorcontrib><creatorcontrib>Monasterio, Violeta</creatorcontrib><creatorcontrib>Pueyo, Esther</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Progress in biophysics and molecular biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carro, Jesús</au><au>Rodríguez-Matas, José F.</au><au>Monasterio, Violeta</au><au>Pueyo, Esther</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Limitations in electrophysiological model development and validation caused by differences between simulations and experimental protocols</atitle><jtitle>Progress in biophysics and molecular biology</jtitle><addtitle>Prog Biophys Mol Biol</addtitle><date>2017-10</date><risdate>2017</risdate><volume>129</volume><spage>53</spage><epage>64</epage><pages>53-64</pages><issn>0079-6107</issn><eissn>1873-1732</eissn><abstract>Models of ion channel dynamics are usually built by fitting isolated cell experimental values of individual parameters while neglecting the interaction between them. Another shortcoming regards the estimation of ionic current conductances, which is often based on quantification of Action Potential (AP)-derived markers. Although this procedure reduces the uncertainty in the calculation of conductances, many studies evaluate electrophysiological AP-derived markers from single cell simulations, whereas experimental measurements are obtained from tissue preparations. In this work, we explore the limitations of these approaches to estimate ion channel dynamics and maximum current conductances and how they could be overcome by using multiscale simulations of experimental protocols.
Four human ventricular cell models, namely ten Tusscher and Panfilov (2006), Grandi et al. (2010), O'Hara et al. (2011), and Carro et al. (2011), were used. Two problems involving scales from ion channels to tissue were investigated: 1) characterization of L-type calcium voltage-dependent inactivation ICa,L; 2) identification of major ionic conductance contributors to steady-state AP markers, including APD90, APD75, APD50, APD25, Triangulation and maximal and minimal values of V and dV/dt during the AP (Vmax, Vmin, dV/dtmax, dV/dtmin).
Our results show that: 1) ICa,L inactivation characteristics differed significantly when calculated from model equations and from simulations reproducing the experimental protocols. 2) Large differences were found in the ionic currents contributors to APD25, Triangulation, Vmax, dV/dtmax and dV/dtmin between single cells and 1D-tissue.
When proposing any new model formulation, or evaluating an existing model, consistency between simulated and experimental data should be verified considering all involved effects and scales.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>27899270</pmid><doi>10.1016/j.pbiomolbio.2016.11.006</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-7789-2973</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Action potential Action Potentials Biomarkers - metabolism Calcium - metabolism Calcium Channels, L-Type - metabolism Cardiac modeling Electrophysiological Phenomena Electrophysiology Heart Ventricles - cytology Heart Ventricles - metabolism Humans Ionic currents Model validation Models, Cardiovascular |
title | Limitations in electrophysiological model development and validation caused by differences between simulations and experimental protocols |
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