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[[File:Precaución_con_los_fármacos_2.png|thumb|Illustration of a bottle of drugs inside a road sign]]
[[File:Precaución_con_los_fármacos_2.png|thumb|Illustration of a bottle of drugs inside a road sign]]
'''Pharmacological cardiotoxicity''' is a [[Heart failure|cardiac damage]] under the action of [[Drug|drugs]] and it can occur both affecting the performances of the [[cardiac muscle]] and by altering the [[Ion channel|Ion channels]]/currents of the functional cardiac cells, named the [[cardiomyocytes]]. <ref>{{cite journal |last1=Iqubal |first1=A. |last2=Ehtaishamul Haque |first2=S. |last3=Sharma |first3=S. |last4=Asif Ansari |first4=M. |title=CLINICAL UPDATES ON DRUG-INDUCED CARDIOTOXICITY |journal=International Journal of Pharmaceutical Sciences and Research |volume=9 |issue=1 |pages=16-26 |doi=10.13040/IJPSR.0975-8232.9(1).16-26}}</ref>
'''Pharmacological cardiotoxicity''' is a [[Heart failure|cardiac damage]] under the action of [[Drug|drugs]] and it can occur both affecting the performances of the [[cardiac muscle]] and by altering the [[Ion channel|Ion channels]]/currents of the functional cardiac cells, named the [[cardiomyocytes]]. <ref>{{cite journal |last1=Iqubal |first1=A. |last2=Ehtaishamul Haque |first2=S. |last3=Sharma |first3=S. |last4=Asif Ansari |first4=M. |title=CLINICAL UPDATES ON DRUG-INDUCED CARDIOTOXICITY |journal=International Journal of Pharmaceutical Sciences and Research |year=2018 |volume=9 |issue=1 |pages=16–26 |doi=10.13040/IJPSR.0975-8232.9(1).16-26}}</ref>


Two distinct case in which can occur are related both with [[Chemotherapy|anti-cancer drugs]] and with [[Antiarrhythmic agent|antiarrhythmic drugs]]. From early observations, some of the first ones which go under the name of [[anthracycline]], it has emerged that such drugs cause a progressive form of [[heart failure]] leading to [[Cardiac arrest|cardiac death]]<ref name=":0">{{Cite journal |last=Ewer |first=Michael S. |last2=Ewer |first2=Steven M. |date=September 2015 |title=Cardiotoxicity of anticancer treatments |url=https://www.nature.com/articles/nrcardio.2015.65 |journal=Nature Reviews Cardiology |language=en |volume=12 |issue=9 |pages=547–558 |doi=10.1038/nrcardio.2015.65 |issn=1759-5002}}</ref>. The mechanism of cell injury is thought to account for iron-dependent generation of reactive oxygen species with a spreading of [[oxidative damage]] to the cardiomyocytes.<ref name=":0" /> On the other hand, related to the [[Antiarrhythmic agent|antiarrhythmic drugs]], the cardiotoxicity is associated to the risk of induce a potential fatal [[Arrhythmia|arrhythmias]] due to an unbalance in the amount of ion [[Electric current|currents]] that flows in/out the [[cell membrane]] of the cardiomyocytes<ref name=":5" />.
Two distinct case in which can occur are related both with [[Chemotherapy|anti-cancer drugs]] and with [[Antiarrhythmic agent|antiarrhythmic drugs]]. From early observations, some of the first ones which go under the name of [[anthracycline]], it has emerged that such drugs cause a progressive form of [[heart failure]] leading to [[Cardiac arrest|cardiac death]]<ref name=":0">{{Cite journal |last1=Ewer |first1=Michael S. |last2=Ewer |first2=Steven M. |date=September 2015 |title=Cardiotoxicity of anticancer treatments |url=https://www.nature.com/articles/nrcardio.2015.65 |journal=Nature Reviews Cardiology |language=en |volume=12 |issue=9 |pages=547–558 |doi=10.1038/nrcardio.2015.65 |pmid=25962976 |s2cid=9317756 |issn=1759-5002}}</ref>. The mechanism of cell injury is thought to account for iron-dependent generation of reactive oxygen species with a spreading of [[oxidative damage]] to the cardiomyocytes.<ref name=":0" /> On the other hand, related to the [[Antiarrhythmic agent|antiarrhythmic drugs]], the cardiotoxicity is associated to the risk of induce a potential fatal [[Arrhythmia|arrhythmias]] due to an unbalance in the amount of ion [[Electric current|currents]] that flows in/out the [[cell membrane]] of the cardiomyocytes<ref name=":5" />.


==Pharmacological action==
==Pharmacological action==


The [[Pharmacology|pharmacological]] action represents a mechanism by means of a specific effect can be obtained. Depending on the class and type of the drug, the pharmacological action may be different.<ref name=":5">{{Cite journal |last=Ramalingam |first=Mahesh |last2=Kim* |first2=Sung-Jin |title=Pharmacological Activities and Applications of Spicatoside A |url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5012870/ |journal=Biomolecules & Therapeutics (Biomolecules & Therapeutics) |volume=24}}</ref>
The [[Pharmacology|pharmacological]] action represents a mechanism by means of a specific effect can be obtained. Depending on the class and type of the drug, the pharmacological action may be different.<ref name=":5">{{Cite journal |last1=Ramalingam |first1=Mahesh |last2=Kim* |first2=Sung-Jin |title=Pharmacological Activities and Applications of Spicatoside A |journal=Biomolecules & Therapeutics (Biomolecules & Therapeutics) |year=2016 |volume=24|issue=5 |pages=469–474 |doi=10.4062/biomolther.2015.214 |pmid=27169821 |pmc=5012870 }}</ref>


In case of electrophysiology, the drug directly acts at the level of the [[Cell (biology)|Cells]], affecting the mechanism of opening/closure of the [[ionic channels]], as it happens with the [[anti-arrhythmic]] drugs. Due to the ionic [[Cell membrane|permeability]] properties of the cardiac cells' membrane, during the [[action potential]], the opening of the ion channels generates ion currents that flow in/out of the lipophilic [[cell membrane]].<ref>{{Cite book |url=https://onlinelibrary.wiley.com/doi/book/10.1002/cphy |title=Comprehensive Physiology |date=2011-01-17 |publisher=Wiley |isbn=978-0-470-65071-4 |editor-last=Terjung |editor-first=Ronald |edition=1 |pages=42 |language=en |doi=10.1002/cphy.c140069 |pmc=PMC4516287 |pmid=26140724}}</ref>
In case of electrophysiology, the drug directly acts at the level of the [[Cell (biology)|Cells]], affecting the mechanism of opening/closure of the [[ionic channels]], as it happens with the [[anti-arrhythmic]] drugs. Due to the ionic [[Cell membrane|permeability]] properties of the cardiac cells' membrane, during the [[action potential]], the opening of the ion channels generates ion currents that flow in/out of the lipophilic [[cell membrane]].<ref>{{Cite book |title=Comprehensive Physiology |date=2011-01-17 |publisher=Wiley |isbn=978-0-470-65071-4 |editor-last=Terjung |editor-first=Ronald |edition=1 |pages=1423–1464 |language=en |doi=10.1002/cphy.c140069 |pmc=4516287 |pmid=26140724 |last1=Bartos |first1=D. C. |last2=Grandi |first2=E. |last3=Ripplinger |first3=C. M. |volume=5 |issue=3 }}</ref>


The anti-arrhythmic [[Drug|drugs]]' action is that of modifying such ion currents, acting on the structure of the ion channel and trying to restore the [[Physiology|physiological]]<nowiki/>opening/closure mechanism of the ion channels. It may be that, instead of provide a benefit to the [[heart]], such as the aforementioned desired effect, a new drug can negatively affect the ion currents, ending up to excessively modifying the amount of ion currents flowing throughout the cell membrane, increasing the risk of inducing a potential fatal arrhythmias. <ref>{{Cite journal |last=Zipes |first=Douglas P. |date=April 1987 |title=Proarrhythmic effects of antiarrhythmic drugs |url=https://linkinghub.elsevier.com/retrieve/pii/0002914987901986 |journal=The American Journal of Cardiology |language=en |volume=59 |issue=11 |pages=E26–E31 |doi=10.1016/0002-9149(87)90198-6}}</ref><ref name=":4">{{Cite journal |last=Fogli Iseppe |first=Alex |last2=Ni |first2=Haibo |last3=Zhu |first3=Sicheng |last4=Zhang |first4=Xianwei |last5=Coppini |first5=Raffaele |last6=Yang |first6=Pei‐Chi |last7=Srivatsa |first7=Uma |last8=Clancy |first8=Colleen E. |last9=Edwards |first9=Andrew G. |last10=Morotti |first10=Stefano |last11=Grandi |first11=Eleonora |date=August 2021 |title=Sex‐Specific Classification of Drug‐Induced Torsade de Pointes Susceptibility Using Cardiac Simulations and Machine Learning |url=https://onlinelibrary.wiley.com/doi/10.1002/cpt.2240 |journal=Clinical Pharmacology & Therapeutics |language=en |volume=110 |issue=2 |pages=380–391 |doi=10.1002/cpt.2240 |issn=0009-9236}}</ref>.
The anti-arrhythmic [[Drug|drugs]]' action is that of modifying such ion currents, acting on the structure of the ion channel and trying to restore the [[Physiology|physiological]]<nowiki/>opening/closure mechanism of the ion channels. It may be that, instead of provide a benefit to the [[heart]], such as the aforementioned desired effect, a new drug can negatively affect the ion currents, ending up to excessively modifying the amount of ion currents flowing throughout the cell membrane, increasing the risk of inducing a potential fatal arrhythmias. <ref>{{Cite journal |last=Zipes |first=Douglas P. |date=April 1987 |title=Proarrhythmic effects of antiarrhythmic drugs |url=https://linkinghub.elsevier.com/retrieve/pii/0002914987901986 |journal=The American Journal of Cardiology |language=en |volume=59 |issue=11 |pages=E26–E31 |doi=10.1016/0002-9149(87)90198-6|pmid=2437787 }}</ref><ref name=":4">{{Cite journal |last1=Fogli Iseppe |first1=Alex |last2=Ni |first2=Haibo |last3=Zhu |first3=Sicheng |last4=Zhang |first4=Xianwei |last5=Coppini |first5=Raffaele |last6=Yang |first6=Pei‐Chi |last7=Srivatsa |first7=Uma |last8=Clancy |first8=Colleen E. |last9=Edwards |first9=Andrew G. |last10=Morotti |first10=Stefano |last11=Grandi |first11=Eleonora |date=August 2021 |title=Sex‐Specific Classification of Drug‐Induced Torsade de Pointes Susceptibility Using Cardiac Simulations and Machine Learning |journal=Clinical Pharmacology & Therapeutics |language=en |volume=110 |issue=2 |pages=380–391 |doi=10.1002/cpt.2240 |pmid=33772748 |pmc=8316283 |issn=0009-9236}}</ref>.


==Examples of pharmacological cardiotoxicity==
==Examples of pharmacological cardiotoxicity==
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[[Image:Open and closed conformations of ion channels.png|200px|thumb|right| Representation of the [[ion channel]] opening/closure.]]
[[Image:Open and closed conformations of ion channels.png|200px|thumb|right| Representation of the [[ion channel]] opening/closure.]]


The anti-arrhythmic drugs are a class of pharmacological compounds whose action is that of restore the normal [[sinus rhythm]] when a patient is affected by an [[arrhythmia]], so their action is that of performing a pharmacological [[cardioversion]].<ref>{{Cite journal |last=Jones |first=Benjamin |last2=Burnand |first2=Cally |date=May 2021 |title=Antiarrhythmic drugs |url=https://linkinghub.elsevier.com/retrieve/pii/S1472029921000850 |journal=Anaesthesia & Intensive Care Medicine |language=en |volume=22 |issue=5 |pages=319–323 |doi=10.1016/j.mpaic.2021.03.009}}</ref>
The anti-arrhythmic drugs are a class of pharmacological compounds whose action is that of restore the normal [[sinus rhythm]] when a patient is affected by an [[arrhythmia]], so their action is that of performing a pharmacological [[cardioversion]].<ref>{{Cite journal |last1=Jones |first1=Benjamin |last2=Burnand |first2=Cally |date=May 2021 |title=Antiarrhythmic drugs |url=https://linkinghub.elsevier.com/retrieve/pii/S1472029921000850 |journal=Anaesthesia & Intensive Care Medicine |language=en |volume=22 |issue=5 |pages=319–323 |doi=10.1016/j.mpaic.2021.03.009|s2cid=241948569 }}</ref>


The pharmacological cardiotoxicity of anti-arrhythmic compounds is related, indeed, to the action of these drugs to induce potential fatal arrhythmias such as [[torsade de pointes]] or [[ventricular fibrillation]]. <ref>{{Cite journal |last=Lancaster |first=M Cummins |last2=Sobie |first2=Ea |date=October 2016 |title=Improved Prediction of Drug-Induced Torsades de Pointes Through Simulations of Dynamics and Machine Learning Algorithms: In silico prediction of Torsades risk |url=https://onlinelibrary.wiley.com/doi/10.1002/cpt.367 |journal=Clinical Pharmacology & Therapeutics |language=en |volume=100 |issue=4 |pages=371–379 |doi=10.1002/cpt.367}}</ref>
The pharmacological cardiotoxicity of anti-arrhythmic compounds is related, indeed, to the action of these drugs to induce potential fatal arrhythmias such as [[torsade de pointes]] or [[ventricular fibrillation]]. <ref>{{Cite journal |last1=Lancaster |first1=M Cummins |last2=Sobie |first2=Ea |date=October 2016 |title=Improved Prediction of Drug-Induced Torsades de Pointes Through Simulations of Dynamics and Machine Learning Algorithms: In silico prediction of Torsades risk |journal=Clinical Pharmacology & Therapeutics |language=en |volume=100 |issue=4 |pages=371–379 |doi=10.1002/cpt.367|pmid=26950176 |pmc=6375298 }}</ref>
The anti-arrhythmic drugs directly act on the opening/closure of ion channels, modifying as a consequence the ion currents. <ref name=":1">{{Cite journal |last=Carmeliet |first=Edward |last2=Mubagwa |first2=Kanigula |date=July 1998 |title=Antiarrhythmic drugs and cardiac ion channels: mechanisms of action |url=https://linkinghub.elsevier.com/retrieve/pii/S0079610798000029 |journal=Progress in Biophysics and Molecular Biology |language=en |volume=70 |issue=1 |pages=1–72 |doi=10.1016/S0079-6107(98)00002-9}}</ref>
The anti-arrhythmic drugs directly act on the opening/closure of ion channels, modifying as a consequence the ion currents. <ref name=":1">{{Cite journal |last1=Carmeliet |first1=Edward |last2=Mubagwa |first2=Kanigula |date=July 1998 |title=Antiarrhythmic drugs and cardiac ion channels: mechanisms of action |url=https://linkinghub.elsevier.com/retrieve/pii/S0079610798000029 |journal=Progress in Biophysics and Molecular Biology |language=en |volume=70 |issue=1 |pages=1–72 |doi=10.1016/S0079-6107(98)00002-9|pmid=9785957 }}</ref>


In treating arrhythmias, the pharmacological therapeutic action is related to the generation of a new combination of the blockage/opening of ion channels. Neverthelesse, This new pharmacologically induced configuration may lead to an unbalanace in ionic currents and as a consquence causing a modificatio in the action potential morphology which increases the risk of inducing an arrhythmia. <ref name=":1" />
In treating arrhythmias, the pharmacological therapeutic action is related to the generation of a new combination of the blockage/opening of ion channels. Neverthelesse, This new pharmacologically induced configuration may lead to an unbalanace in ionic currents and as a consquence causing a modificatio in the action potential morphology which increases the risk of inducing an arrhythmia. <ref name=":1" />


It has been in fact studied over the years how the change of the action potential shape, i.e. prolungation of the repolarization phase or early after depolarizations, is bonded to the likely of inducing fatal arrhythmias such as torsade de pointes<ref name=":6">{{Cite journal |last=Llopis-Lorente |first=Jordi |last2=Gomis-Tena |first2=Julio |last3=Cano |first3=Jordi |last4=Romero |first4=Lucía |last5=Saiz |first5=Javier |last6=Trenor |first6=Beatriz |date=2020-10-26 |title=In Silico Classifiers for the Assessment of Drug Proarrhythmicity |url=https://pubs.acs.org/doi/10.1021/acs.jcim.0c00201 |journal=Journal of Chemical Information and Modeling |language=en |volume=60 |issue=10 |pages=5172–5187 |doi=10.1021/acs.jcim.0c00201 |issn=1549-9596}}</ref>. So, the risk of inducing a fatal arrhythmias has to be prevented assessing the pharmacological cardiotoxicity at the early stages of the manufacturing of a new drug<ref name=":6" />.
It has been in fact studied over the years how the change of the action potential shape, i.e. prolungation of the repolarization phase or early after depolarizations, is bonded to the likely of inducing fatal arrhythmias such as torsade de pointes<ref name=":6">{{Cite journal |last1=Llopis-Lorente |first1=Jordi |last2=Gomis-Tena |first2=Julio |last3=Cano |first3=Jordi |last4=Romero |first4=Lucía |last5=Saiz |first5=Javier |last6=Trenor |first6=Beatriz |date=2020-10-26 |title=In Silico Classifiers for the Assessment of Drug Proarrhythmicity |url=https://pubs.acs.org/doi/10.1021/acs.jcim.0c00201 |journal=Journal of Chemical Information and Modeling |language=en |volume=60 |issue=10 |pages=5172–5187 |doi=10.1021/acs.jcim.0c00201 |pmid=32786710 |s2cid=221125567 |issn=1549-9596}}</ref>. So, the risk of inducing a fatal arrhythmias has to be prevented assessing the pharmacological cardiotoxicity at the early stages of the manufacturing of a new drug<ref name=":6" />.


==Clinical cardiotoxicity assessment==
==Clinical cardiotoxicity assessment==
During the study of a new pharmacological compound, a clinical trials is one of the phases before the market release<ref name=":2" />
During the study of a new pharmacological compound, a clinical trials is one of the phases before the market release<ref name=":2" />


At this level, following the directions of the [[clinical trial]] protocol, the new drug is administrated to the patient as a therapy and the patient’s clinical status is monitored aiming to evaluate possible side effects.<ref name=":2">{{Cite journal |last=Kandi |first=Venkataramana |last2=Vadakedath |first2=Sabitha |date=2023-02-16 |title=Clinical Trials and Clinical Research: A Comprehensive Review |url=https://www.cureus.com/articles/128436-clinical-trials-and-clinical-research-a-comprehensive-review |journal=Cureus |language=en |pages=15 |doi=10.7759/cureus.35077 |issn=2168-8184}}</ref><ref>{{Cite journal |last=Juni |first=P. |date=2001-07-07 |title=Systematic reviews in health care: Assessing the quality of controlled clinical trials |url=https://www.bmj.com/lookup/doi/10.1136/bmj.323.7303.42 |journal=BMJ |volume=323 |issue=7303 |pages=42–46 |doi=10.1136/bmj.323.7303.42}}</ref>
At this level, following the directions of the [[clinical trial]] protocol, the new drug is administrated to the patient as a therapy and the patient’s clinical status is monitored aiming to evaluate possible side effects.<ref name=":2">{{Cite journal |last1=Kandi |first1=Venkataramana |last2=Vadakedath |first2=Sabitha |date=2023-02-16 |title=Clinical Trials and Clinical Research: A Comprehensive Review |url=https://www.cureus.com/articles/128436-clinical-trials-and-clinical-research-a-comprehensive-review |journal=Cureus |volume=15 |issue=2 |language=en |pages=15 |doi=10.7759/cureus.35077 |pmid=36938261 |pmc=10023071 |issn=2168-8184}}</ref><ref>{{Cite journal |last=Juni |first=P. |date=2001-07-07 |title=Systematic reviews in health care: Assessing the quality of controlled clinical trials |journal=BMJ |volume=323 |issue=7303 |pages=42–46 |doi=10.1136/bmj.323.7303.42|pmid=11440947 |pmc=1120670 }}</ref>


===Old paradigm===
===Old paradigm===


To assess pharmacological cardiotoxicity, it was common practice to measure [[QT interval]] in vivo and the blockage of [[Potassium]] channel <ref name=":3">{{Cite journal |last=Sager |first=Philip T. |last2=Gintant |first2=Gary |last3=Turner |first3=J. Rick |last4=Pettit |first4=Syril |last5=Stockbridge |first5=Norman |date=March 2014 |title=Rechanneling the cardiac proarrhythmia safety paradigm: A meeting report from the Cardiac Safety Research Consortium |url=https://linkinghub.elsevier.com/retrieve/pii/S0002870313007849 |journal=American Heart Journal |language=en |volume=167 |issue=3 |pages=292–300 |doi=10.1016/j.ahj.2013.11.004}}</ref>. Nevertheless, since 2013 a new paradigm has been developed to overcome the limits of the previous one. It has been in fact demonstrated that the old paradigm was too stringent, labelling as pro-arrhythmic some pharmacological compounds which actually were not.<ref name=":3" />
To assess pharmacological cardiotoxicity, it was common practice to measure [[QT interval]] in vivo and the blockage of [[Potassium]] channel <ref name=":3">{{Cite journal |last1=Sager |first1=Philip T. |last2=Gintant |first2=Gary |last3=Turner |first3=J. Rick |last4=Pettit |first4=Syril |last5=Stockbridge |first5=Norman |date=March 2014 |title=Rechanneling the cardiac proarrhythmia safety paradigm: A meeting report from the Cardiac Safety Research Consortium |url=https://linkinghub.elsevier.com/retrieve/pii/S0002870313007849 |journal=American Heart Journal |language=en |volume=167 |issue=3 |pages=292–300 |doi=10.1016/j.ahj.2013.11.004|pmid=24576511 }}</ref>. Nevertheless, since 2013 a new paradigm has been developed to overcome the limits of the previous one. It has been in fact demonstrated that the old paradigm was too stringent, labelling as pro-arrhythmic some pharmacological compounds which actually were not.<ref name=":3" />


===New paradigm: CiPA===
===New paradigm: CiPA===
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===Background===
===Background===


In the last years, In Silico Medicine turned out to be promising, aiding scientists and clinicians to prevent and adequately cure several diseases <ref name=":7">{{Cite journal |last=Viceconti |first=Marco |last2=Dall’Ara |first2=Enrico |date=January 2019 |title=From bed to bench: How in silico medicine can help ageing research |url=https://linkinghub.elsevier.com/retrieve/pii/S0047637418300812 |journal=Mechanisms of Ageing and Development |language=en |volume=177 |pages=103–108 |doi=10.1016/j.mad.2018.07.001}}</ref>.
In the last years, In Silico Medicine turned out to be promising, aiding scientists and clinicians to prevent and adequately cure several diseases <ref name=":7">{{Cite journal |last1=Viceconti |first1=Marco |last2=Dall’Ara |first2=Enrico |date=January 2019 |title=From bed to bench: How in silico medicine can help ageing research |url=https://linkinghub.elsevier.com/retrieve/pii/S0047637418300812 |journal=Mechanisms of Ageing and Development |language=en |volume=177 |pages=103–108 |doi=10.1016/j.mad.2018.07.001|pmid=30005915 |s2cid=49661463 }}</ref>.
Computational modeling aid in understanding complex phenomena, allowing scientists to vary parameters aiming to measure variables that otherwise could have not been investigated<ref name=":7" />.
Computational modeling aid in understanding complex phenomena, allowing scientists to vary parameters aiming to measure variables that otherwise could have not been investigated<ref name=":7" />.


In the field of [[electrophysiology]], the pharmacological cardiotoxicity assessment can be carried out leveraging specific computational models. According to the type and paramaters to be investigated in the research, it is possible to analyze the pharmacological effect on the [[atria]] and [[ventricles]] separately.<ref name=":8">{{Cite journal |last=Courtemanche |first=Marc |last2=Ramirez |first2=Rafael J. |last3=Nattel |first3=Stanley |date=1998-07-01 |title=Ionic mechanisms underlying human atrial action potential properties: insights from a mathematical model |url=https://www.physiology.org/doi/10.1152/ajpheart.1998.275.1.H301 |journal=American Journal of Physiology-Heart and Circulatory Physiology |language=en |volume=275 |issue=1 |pages=H301–H321 |doi=10.1152/ajpheart.1998.275.1.H301 |issn=0363-6135}}</ref><ref name=":9">{{Cite journal |last=O'Hara |first=Thomas |last2=Virág |first2=László |last3=Varró |first3=András |last4=Rudy |first4=Yoram |date=2011-05-26 |editor-last=McCulloch |editor-first=Andrew D. |title=Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation |url=https://dx.plos.org/10.1371/journal.pcbi.1002061 |journal=PLoS Computational Biology |language=en |volume=7 |issue=5 |pages=e1002061 |doi=10.1371/journal.pcbi.1002061 |issn=1553-7358 |pmc=PMC3102752 |pmid=21637795}}</ref>
In the field of [[electrophysiology]], the pharmacological cardiotoxicity assessment can be carried out leveraging specific computational models. According to the type and paramaters to be investigated in the research, it is possible to analyze the pharmacological effect on the [[atria]] and [[ventricles]] separately.<ref name=":8">{{Cite journal |last1=Courtemanche |first1=Marc |last2=Ramirez |first2=Rafael J. |last3=Nattel |first3=Stanley |date=1998-07-01 |title=Ionic mechanisms underlying human atrial action potential properties: insights from a mathematical model |url=https://www.physiology.org/doi/10.1152/ajpheart.1998.275.1.H301 |journal=American Journal of Physiology-Heart and Circulatory Physiology |language=en |volume=275 |issue=1 |pages=H301–H321 |doi=10.1152/ajpheart.1998.275.1.H301 |pmid=9688927 |issn=0363-6135}}</ref><ref name=":9">{{Cite journal |last1=O'Hara |first1=Thomas |last2=Virág |first2=László |last3=Varró |first3=András |last4=Rudy |first4=Yoram |date=2011-05-26 |editor-last=McCulloch |editor-first=Andrew D. |title=Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation |journal=PLOS Computational Biology |language=en |volume=7 |issue=5 |pages=e1002061 |doi=10.1371/journal.pcbi.1002061 |issn=1553-7358 |pmc=3102752 |pmid=21637795|bibcode=2011PLSCB...7E2061O }}</ref>


Since the two cardiac chambers are very different each other and play a key role both on a functional and anatomical basis, suitable computational models have to be accounted for to describe their different behaviour.
Since the two cardiac chambers are very different each other and play a key role both on a functional and anatomical basis, suitable computational models have to be accounted for to describe their different behaviour.
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===Creation of a population of cellular action potentials===
===Creation of a population of cellular action potentials===
[[File:Ventricular_Action_potential.png|thumb|Ventricular Action Potential]]In this way, It has been possible to create a virtual cellular population of cardiomyocytes and vary their [[conductances]] that are related to the main ionic currents which contribute to the action potential morphology, reflective of a specifical anatomical region of the heart <ref name=":10">{{Cite journal |last=Muszkiewicz |first=Anna |last2=Britton |first2=Oliver J. |last3=Gemmell |first3=Philip |last4=Passini |first4=Elisa |last5=Sánchez |first5=Carlos |last6=Zhou |first6=Xin |last7=Carusi |first7=Annamaria |last8=Quinn |first8=T. Alexander |last9=Burrage |first9=Kevin |last10=Bueno-Orovio |first10=Alfonso |last11=Rodriguez |first11=Blanca |date=January 2016 |title=Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm |url=https://linkinghub.elsevier.com/retrieve/pii/S0079610715002424 |journal=Progress in Biophysics and Molecular Biology |language=en |volume=120 |issue=1-3 |pages=115–127 |doi=10.1016/j.pbiomolbio.2015.12.002}}</ref><ref>{{Cite journal |last=Sarkar |first=Amrita X. |last2=Christini |first2=David J. |last3=Sobie |first3=Eric A. |date=2012-06-01 |title=Exploiting mathematical models to illuminate electrophysiological variability between individuals: Electrophysiological variability |url=http://doi.wiley.com/10.1113/jphysiol.2011.223313 |journal=The Journal of Physiology |language=en |volume=590 |issue=11 |pages=2555–2567 |doi=10.1113/jphysiol.2011.223313}}</ref>.
[[File:Ventricular_Action_potential.png|thumb|Ventricular Action Potential]]In this way, It has been possible to create a virtual cellular population of cardiomyocytes and vary their [[conductances]] that are related to the main ionic currents which contribute to the action potential morphology, reflective of a specifical anatomical region of the heart <ref name=":10">{{Cite journal |last1=Muszkiewicz |first1=Anna |last2=Britton |first2=Oliver J. |last3=Gemmell |first3=Philip |last4=Passini |first4=Elisa |last5=Sánchez |first5=Carlos |last6=Zhou |first6=Xin |last7=Carusi |first7=Annamaria |last8=Quinn |first8=T. Alexander |last9=Burrage |first9=Kevin |last10=Bueno-Orovio |first10=Alfonso |last11=Rodriguez |first11=Blanca |date=January 2016 |title=Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm |url=https://linkinghub.elsevier.com/retrieve/pii/S0079610715002424 |journal=Progress in Biophysics and Molecular Biology |language=en |volume=120 |issue=1–3 |pages=115–127 |doi=10.1016/j.pbiomolbio.2015.12.002|pmid=26701222 |s2cid=13737964 }}</ref><ref>{{Cite journal |last1=Sarkar |first1=Amrita X. |last2=Christini |first2=David J. |last3=Sobie |first3=Eric A. |date=2012-06-01 |title=Exploiting mathematical models to illuminate electrophysiological variability between individuals: Electrophysiological variability |journal=The Journal of Physiology |language=en |volume=590 |issue=11 |pages=2555–2567 |doi=10.1113/jphysiol.2011.223313|pmid=22495591 |pmc=3424714 }}</ref>.
In order to create a stable population of cellular [[action potential]]<nowiki/>s, the biomarkers have to been accounted for. During the years several biomarkers have been developed to best characterize the instability of cellular action potentials. Few are reported as follows<ref name=":10" />:
In order to create a stable population of cellular [[action potential]]<nowiki/>s, the biomarkers have to been accounted for. During the years several biomarkers have been developed to best characterize the instability of cellular action potentials. Few are reported as follows<ref name=":10" />:


*APD90: it represents the action potential duration when the phase of the repolarization is at 90%, so it possible to associate to this value a time and it can be expressed as<ref name=":11">{{Cite journal |last=Lachaud |first=Quentin |last2=Aziz |first2=Muhamad Hifzhudin Noor |last3=Burton |first3=Francis L |last4=Macquaide |first4=Niall |last5=Myles |first5=Rachel C |last6=Simitev |first6=Radostin D |last7=Smith |first7=Godfrey L |date=2022-12-09 |title=Electrophysiological heterogeneity in large populations of rabbit ventricular cardiomyocytes |url=https://academic.oup.com/cardiovascres/article/118/15/3112/6502285 |journal=Cardiovascular Research |language=en |volume=118 |issue=15 |pages=3112–3125 |doi=10.1093/cvr/cvab375 |issn=0008-6363 |pmc=PMC9732512 |pmid=35020837}}</ref>:
*APD90: it represents the action potential duration when the phase of the repolarization is at 90%, so it possible to associate to this value a time and it can be expressed as<ref name=":11">{{Cite journal |last1=Lachaud |first1=Quentin |last2=Aziz |first2=Muhamad Hifzhudin Noor |last3=Burton |first3=Francis L |last4=Macquaide |first4=Niall |last5=Myles |first5=Rachel C |last6=Simitev |first6=Radostin D |last7=Smith |first7=Godfrey L |date=2022-12-09 |title=Electrophysiological heterogeneity in large populations of rabbit ventricular cardiomyocytes |url=https://academic.oup.com/cardiovascres/article/118/15/3112/6502285 |journal=Cardiovascular Research |language=en |volume=118 |issue=15 |pages=3112–3125 |doi=10.1093/cvr/cvab375 |issn=0008-6363 |pmc=9732512 |pmid=35020837}}</ref>:




Line 81: Line 81:
<math>APA=V_{Max}-V_0</math>
<math>APA=V_{Max}-V_0</math>


Many other can be used according to the needs of the research <ref>{{Cite journal |last=Britton |first=Oliver J. |last2=Bueno-Orovio |first2=Alfonso |last3=Virág |first3=László |last4=Varró |first4=András |last5=Rodriguez |first5=Blanca |date=2017-05-05 |title=The Electrogenic Na+/K+ Pump Is a Key Determinant of Repolarization Abnormality Susceptibility in Human Ventricular Cardiomyocytes: A Population-Based Simulation Study |url=http://journal.frontiersin.org/article/10.3389/fphys.2017.00278/full |journal=Frontiers in Physiology |volume=8 |doi=10.3389/fphys.2017.00278 |issn=1664-042X |pmc=PMC5418229 |pmid=28529489}}</ref>.
Many other can be used according to the needs of the research <ref>{{Cite journal |last1=Britton |first1=Oliver J. |last2=Bueno-Orovio |first2=Alfonso |last3=Virág |first3=László |last4=Varró |first4=András |last5=Rodriguez |first5=Blanca |date=2017-05-05 |title=The Electrogenic Na+/K+ Pump Is a Key Determinant of Repolarization Abnormality Susceptibility in Human Ventricular Cardiomyocytes: A Population-Based Simulation Study |journal=Frontiers in Physiology |volume=8 |page=278 |doi=10.3389/fphys.2017.00278 |issn=1664-042X |pmc=5418229 |pmid=28529489 |doi-access=free }}</ref>.


===Regional clusterization===
===Regional clusterization===


Once the cellular population is stable, all the action potential are compared to physiological data related to the most relevant anatomical regions, in such way to appropriately filter the action potential aiming to consider just the physiologically relevant ones <ref name=":12">{{Cite journal |last=Ferrer |first=Ana |last2=Sebastián |first2=Rafael |last3=Sánchez-Quintana |first3=Damián |last4=Rodríguez |first4=José F. |last5=Godoy |first5=Eduardo J. |last6=Martínez |first6=Laura |last7=Saiz |first7=Javier |date=2015-11-02 |editor-last=Panfilov |editor-first=Alexander V |title=Detailed Anatomical and Electrophysiological Models of Human Atria and Torso for the Simulation of Atrial Activation |url=https://dx.plos.org/10.1371/journal.pone.0141573 |journal=PLOS ONE |language=en |volume=10 |issue=11 |pages=e0141573 |doi=10.1371/journal.pone.0141573 |issn=1932-6203 |pmc=PMC4629897 |pmid=26523732}}</ref>
Once the cellular population is stable, all the action potential are compared to physiological data related to the most relevant anatomical regions, in such way to appropriately filter the action potential aiming to consider just the physiologically relevant ones <ref name=":12">{{Cite journal |last1=Ferrer |first1=Ana |last2=Sebastián |first2=Rafael |last3=Sánchez-Quintana |first3=Damián |last4=Rodríguez |first4=José F. |last5=Godoy |first5=Eduardo J. |last6=Martínez |first6=Laura |last7=Saiz |first7=Javier |date=2015-11-02 |editor-last=Panfilov |editor-first=Alexander V |title=Detailed Anatomical and Electrophysiological Models of Human Atria and Torso for the Simulation of Atrial Activation |journal=PLOS ONE |language=en |volume=10 |issue=11 |pages=e0141573 |doi=10.1371/journal.pone.0141573 |issn=1932-6203 |pmc=4629897 |pmid=26523732 |bibcode=2015PLoSO..1041573F |doi-access=free }}</ref>
At the atrial level, the clusterization occurs with data associated to<ref name=":12" />:
At the atrial level, the clusterization occurs with data associated to<ref name=":12" />:


Line 100: Line 100:
===Simulation of the pharmacological action===
===Simulation of the pharmacological action===
[[File:Early_afterdepolarization.png|thumb|Early afterdepolarization]]
[[File:Early_afterdepolarization.png|thumb|Early afterdepolarization]]
According to [[pharmacokinetic]] and [[pharmacodynamic]] data of the drugs, the pharmacological action is integrated in the model and by means of specific electrical stimuli protocols <ref>{{Cite journal |last=Abi-Gerges |first=Najah |last2=Small |first2=Ben G |last3=Lawrence |first3=Chris L |last4=Hammond |first4=Tim G |last5=Valentin |first5=Jean-Pierre |last6=Pollard |first6=Chris E |date=March 2006 |title=Gender differences in the slow delayed ( I Ks ) but not in inward ( I K1 ) rectifier K + currents of canine Purkinje fibre cardiac action potential: key roles for I Ks , β -adrenoceptor stimulation, pacing rate and gender: Gender, pacing rate and stimulated I Ks |url=http://doi.wiley.com/10.1038/sj.bjp.0706491 |journal=British Journal of Pharmacology |language=en |volume=147 |issue=6 |pages=653–660 |doi=10.1038/sj.bjp.0706491}}</ref>, the pharmacological effect of a new drug can be investigated in a completely safe and controlled computational enviroment, providing preliminary important considerations concerning the cardiotoxicity of new pharmacological compounds.<ref>{{Cite journal |last=Passini |first=Elisa |last2=Britton |first2=Oliver J. |last3=Lu |first3=Hua Rong |last4=Rohrbacher |first4=Jutta |last5=Hermans |first5=An N. |last6=Gallacher |first6=David J. |last7=Greig |first7=Robert J. H. |last8=Bueno-Orovio |first8=Alfonso |last9=Rodriguez |first9=Blanca |date=2017 |title=Human In Silico Drug Trials Demonstrate Higher Accuracy than Animal Models in Predicting Clinical Pro-Arrhythmic Cardiotoxicity |url=https://www.frontiersin.org/articles/10.3389/fphys.2017.00668 |journal=Frontiers in Physiology |volume=8 |doi=10.3389/fphys.2017.00668 |issn=1664-042X |pmc=PMC5601077 |pmid=28955244}}</ref>
According to [[pharmacokinetic]] and [[pharmacodynamic]] data of the drugs, the pharmacological action is integrated in the model and by means of specific electrical stimuli protocols <ref>{{Cite journal |last1=Abi-Gerges |first1=Najah |last2=Small |first2=Ben G |last3=Lawrence |first3=Chris L |last4=Hammond |first4=Tim G |last5=Valentin |first5=Jean-Pierre |last6=Pollard |first6=Chris E |date=March 2006 |title=Gender differences in the slow delayed ( I Ks ) but not in inward ( I K1 ) rectifier K + currents of canine Purkinje fibre cardiac action potential: key roles for I Ks , β -adrenoceptor stimulation, pacing rate and gender: Gender, pacing rate and stimulated I Ks |journal=British Journal of Pharmacology |language=en |volume=147 |issue=6 |pages=653–660 |doi=10.1038/sj.bjp.0706491|pmid=16314855 |pmc=1751338 }}</ref>, the pharmacological effect of a new drug can be investigated in a completely safe and controlled computational enviroment, providing preliminary important considerations concerning the cardiotoxicity of new pharmacological compounds.<ref>{{Cite journal |last1=Passini |first1=Elisa |last2=Britton |first2=Oliver J. |last3=Lu |first3=Hua Rong |last4=Rohrbacher |first4=Jutta |last5=Hermans |first5=An N. |last6=Gallacher |first6=David J. |last7=Greig |first7=Robert J. H. |last8=Bueno-Orovio |first8=Alfonso |last9=Rodriguez |first9=Blanca |date=2017 |title=Human In Silico Drug Trials Demonstrate Higher Accuracy than Animal Models in Predicting Clinical Pro-Arrhythmic Cardiotoxicity |journal=Frontiers in Physiology |volume=8 |page=668 |doi=10.3389/fphys.2017.00668 |issn=1664-042X |pmc=5601077 |pmid=28955244 |doi-access=free }}</ref>


According to the outcome of the simulations, several aspects can be investigated in order to identify the pro-arrhythmiciy of a new pharmacological compound.<ref>{{Cite journal |last=Smith |first=J M |last2=Clancy |first2=E A |last3=Valeri |first3=C R |last4=Ruskin |first4=J N |last5=Cohen |first5=R J |date=January 1988 |title=Electrical alternans and cardiac electrical instability. |url=https://www.ahajournals.org/doi/10.1161/01.CIR.77.1.110 |journal=Circulation |language=en |volume=77 |issue=1 |pages=110–121 |doi=10.1161/01.CIR.77.1.110 |issn=0009-7322}}</ref><ref name=":13">{{Cite journal |last=Weiss |first=James N. |last2=Garfinkel |first2=Alan |last3=Karagueuzian |first3=Hrayr S. |last4=Chen |first4=Peng-Sheng |last5=Qu |first5=Zhilin |date=December 2010 |title=Early afterdepolarizations and cardiac arrhythmias |url=https://doi.org/10.1016/j.hrthm.2010.09.017 |journal=Heart Rhythm |volume=7 |issue=12 |pages=1891–1899 |doi=10.1016/j.hrthm.2010.09.017 |issn=1547-5271 |pmc=PMC3005298 |pmid=20868774}}</ref> The typical changes, called repolarization abnormalities, in the action potential morphology that are considered pro-arrhytmhmic may be<ref name=":13" />:
According to the outcome of the simulations, several aspects can be investigated in order to identify the pro-arrhythmiciy of a new pharmacological compound.<ref>{{Cite journal |last1=Smith |first1=J M |last2=Clancy |first2=E A |last3=Valeri |first3=C R |last4=Ruskin |first4=J N |last5=Cohen |first5=R J |date=January 1988 |title=Electrical alternans and cardiac electrical instability. |url=https://www.ahajournals.org/doi/10.1161/01.CIR.77.1.110 |journal=Circulation |language=en |volume=77 |issue=1 |pages=110–121 |doi=10.1161/01.CIR.77.1.110 |pmid=3335062 |issn=0009-7322}}</ref><ref name=":13">{{Cite journal |last1=Weiss |first1=James N. |last2=Garfinkel |first2=Alan |last3=Karagueuzian |first3=Hrayr S. |last4=Chen |first4=Peng-Sheng |last5=Qu |first5=Zhilin |date=December 2010 |title=Early afterdepolarizations and cardiac arrhythmias |url=https://doi.org/10.1016/j.hrthm.2010.09.017 |journal=Heart Rhythm |volume=7 |issue=12 |pages=1891–1899 |doi=10.1016/j.hrthm.2010.09.017 |issn=1547-5271 |pmc=3005298 |pmid=20868774}}</ref> The typical changes, called repolarization abnormalities, in the action potential morphology that are considered pro-arrhytmhmic may be<ref name=":13" />:


* [[Afterdepolarization|Early afterdepolarization]]
* [[Afterdepolarization|Early afterdepolarization]]
Line 110: Line 110:
===Torsade de point risk score===
===Torsade de point risk score===


Simulation can be carried out at different effective plasmatic therapuetic level of the drugs to identify the level at which cardiotoxicity can not be neglected. The data collected could be finally managed to create a score system aimed to define the torsadogenisk risk, namely the risk of inducing torsade de pointes, of the new drugs <ref>{{Cite journal |last=Tisdale |first=James E. |last2=Jaynes |first2=Heather A. |last3=Kingery |first3=Joanna R. |last4=Mourad |first4=Noha A. |last5=Trujillo |first5=Tate N. |last6=Overholser |first6=Brian R. |last7=Kovacs |first7=Richard J. |date=July 2013 |title=Development and Validation of a Risk Score to Predict QT Interval Prolongation in Hospitalized Patients |url=https://www.ahajournals.org/doi/10.1161/CIRCOUTCOMES.113.000152 |journal=Circulation: Cardiovascular Quality and Outcomes |language=en |volume=6 |issue=4 |pages=479–487 |doi=10.1161/CIRCOUTCOMES.113.000152 |issn=1941-7713 |pmc=PMC3788679 |pmid=23716032}}</ref><ref name=":4" />.
Simulation can be carried out at different effective plasmatic therapuetic level of the drugs to identify the level at which cardiotoxicity can not be neglected. The data collected could be finally managed to create a score system aimed to define the torsadogenisk risk, namely the risk of inducing torsade de pointes, of the new drugs <ref>{{Cite journal |last1=Tisdale |first1=James E. |last2=Jaynes |first2=Heather A. |last3=Kingery |first3=Joanna R. |last4=Mourad |first4=Noha A. |last5=Trujillo |first5=Tate N. |last6=Overholser |first6=Brian R. |last7=Kovacs |first7=Richard J. |date=July 2013 |title=Development and Validation of a Risk Score to Predict QT Interval Prolongation in Hospitalized Patients |journal=Circulation: Cardiovascular Quality and Outcomes |language=en |volume=6 |issue=4 |pages=479–487 |doi=10.1161/CIRCOUTCOMES.113.000152 |issn=1941-7713 |pmc=3788679 |pmid=23716032}}</ref><ref name=":4" />.


A possible Torsade de Point risk score to asess cardiotoxicity could be<ref name=":4" />:
A possible Torsade de Point risk score to asess cardiotoxicity could be<ref name=":4" />:
Line 132: Line 132:
===Tissue simulations===
===Tissue simulations===


More detailed computation simulations can be carried out accounting for not cellular models, but taking into consideration the functional [[syncytium]] and enabling the cells to mutually interact, the so called electrotonic coupling.<ref>{{Cite journal |last=del Rio |first=Carlos |last2=Hamlin |first2=Robert |last3=Billman |first3=George |date=2016-09-01 |title=Myocardial electrotonic coupling modulates repolarization heterogeneities in vivo: Implications for the assessment of pro-arrhythmic liabilities in vitro and in silico |url=https://www.sciencedirect.com/science/article/pii/S1056871916000642 |journal=Journal of Pharmacological and Toxicological Methods |series=Focused Issue on Safety Pharmacology |language=en |volume=81 |pages=354 |doi=10.1016/j.vascn.2016.02.063 |issn=1056-8719}}</ref>
More detailed computation simulations can be carried out accounting for not cellular models, but taking into consideration the functional [[syncytium]] and enabling the cells to mutually interact, the so called electrotonic coupling.<ref>{{Cite journal |last1=del Rio |first1=Carlos |last2=Hamlin |first2=Robert |last3=Billman |first3=George |date=2016-09-01 |title=Myocardial electrotonic coupling modulates repolarization heterogeneities in vivo: Implications for the assessment of pro-arrhythmic liabilities in vitro and in silico |url=https://www.sciencedirect.com/science/article/pii/S1056871916000642 |journal=Journal of Pharmacological and Toxicological Methods |series=Focused Issue on Safety Pharmacology |language=en |volume=81 |pages=354 |doi=10.1016/j.vascn.2016.02.063 |s2cid=89280007 |issn=1056-8719}}</ref>


In case of tissue simulation or in wider cases, such as in whole organ simulations, all the cellular models are note appliable anymore and several corrections have to be made. Firstly the governing equations can not be just [[ordinary differential equation]] but a system of [[partial differential equation]] has to be accounted for<ref>{{Cite journal |last=Sundnes |first=Joakim |last2=Nielsen |first2=Bjørn Fredrik |last3=Mardal |first3=Kent Andre |last4=Cai |first4=Xing |last5=Lines |first5=Glenn Terje |last6=Tveito |first6=Aslak |date=2006-07-01 |title=On the Computational Complexity of the Bidomain and the Monodomain Models of Electrophysiology |url=https://doi.org/10.1007/s10439-006-9082-z |journal=Annals of Biomedical Engineering |language=en |volume=34 |issue=7 |pages=1088–1097 |doi=10.1007/s10439-006-9082-z |issn=1573-9686}}</ref>. A suitable choice may be the monodomain model<ref name=":14" />:
In case of tissue simulation or in wider cases, such as in whole organ simulations, all the cellular models are note appliable anymore and several corrections have to be made. Firstly the governing equations can not be just [[ordinary differential equation]] but a system of [[partial differential equation]] has to be accounted for<ref>{{Cite journal |last1=Sundnes |first1=Joakim |last2=Nielsen |first2=Bjørn Fredrik |last3=Mardal |first3=Kent Andre |last4=Cai |first4=Xing |last5=Lines |first5=Glenn Terje |last6=Tveito |first6=Aslak |date=2006-07-01 |title=On the Computational Complexity of the Bidomain and the Monodomain Models of Electrophysiology |url=https://doi.org/10.1007/s10439-006-9082-z |journal=Annals of Biomedical Engineering |language=en |volume=34 |issue=7 |pages=1088–1097 |doi=10.1007/s10439-006-9082-z |pmid=16773461 |s2cid=17230936 |issn=1573-9686}}</ref>. A suitable choice may be the monodomain model<ref name=":14" />:




Line 143: Line 143:




where <math>D</math> is the effective conductivity tensor, <math>C_m</math>is the capacitance of the cellular membrane, <math>I_{ion}</math> the transmembrane ionic current, <math>\Omega</math> and <math>\partial\Omega</math> are the domain of interest and its boundary respectively, with <math>n</math> the outward boundary of <math>\partial\Omega</math><ref name=":14">{{Cite journal |last=Mountris |first=Konstantinos A. |last2=Dong |first2=Leiting |last3=Guan |first3=Yue |last4=Atluri |first4=Satya N. |last5=Pueyo |first5=Esther |date=2022-11-01 |title=A meshless fragile points method for the solution of the monodomain model for cardiac electrophysiology simulation |url=https://www.sciencedirect.com/science/article/pii/S1877750322002393 |journal=Journal of Computational Science |language=en |volume=65 |pages=101880 |doi=10.1016/j.jocs.2022.101880 |issn=1877-7503}}</ref>.
where <math>D</math> is the effective conductivity tensor, <math>C_m</math>is the capacitance of the cellular membrane, <math>I_{ion}</math> the transmembrane ionic current, <math>\Omega</math> and <math>\partial\Omega</math> are the domain of interest and its boundary respectively, with <math>n</math> the outward boundary of <math>\partial\Omega</math><ref name=":14">{{Cite journal |last1=Mountris |first1=Konstantinos A. |last2=Dong |first2=Leiting |last3=Guan |first3=Yue |last4=Atluri |first4=Satya N. |last5=Pueyo |first5=Esther |date=2022-11-01 |title=A meshless fragile points method for the solution of the monodomain model for cardiac electrophysiology simulation |url=https://www.sciencedirect.com/science/article/pii/S1877750322002393 |journal=Journal of Computational Science |language=en |volume=65 |pages=101880 |doi=10.1016/j.jocs.2022.101880 |s2cid=252975713 |issn=1877-7503}}</ref>.


==See also==
==See also==

Revision as of 11:41, 7 July 2023

Illustration of a bottle of drugs inside a road sign

Pharmacological cardiotoxicity is a cardiac damage under the action of drugs and it can occur both affecting the performances of the cardiac muscle and by altering the Ion channels/currents of the functional cardiac cells, named the cardiomyocytes. [1]

Two distinct case in which can occur are related both with anti-cancer drugs and with antiarrhythmic drugs. From early observations, some of the first ones which go under the name of anthracycline, it has emerged that such drugs cause a progressive form of heart failure leading to cardiac death[2]. The mechanism of cell injury is thought to account for iron-dependent generation of reactive oxygen species with a spreading of oxidative damage to the cardiomyocytes.[2] On the other hand, related to the antiarrhythmic drugs, the cardiotoxicity is associated to the risk of induce a potential fatal arrhythmias due to an unbalance in the amount of ion currents that flows in/out the cell membrane of the cardiomyocytes[3].

Pharmacological action

The pharmacological action represents a mechanism by means of a specific effect can be obtained. Depending on the class and type of the drug, the pharmacological action may be different.[3]

In case of electrophysiology, the drug directly acts at the level of the Cells, affecting the mechanism of opening/closure of the ionic channels, as it happens with the anti-arrhythmic drugs. Due to the ionic permeability properties of the cardiac cells' membrane, during the action potential, the opening of the ion channels generates ion currents that flow in/out of the lipophilic cell membrane.[4]

The anti-arrhythmic drugs' action is that of modifying such ion currents, acting on the structure of the ion channel and trying to restore the physiologicalopening/closure mechanism of the ion channels. It may be that, instead of provide a benefit to the heart, such as the aforementioned desired effect, a new drug can negatively affect the ion currents, ending up to excessively modifying the amount of ion currents flowing throughout the cell membrane, increasing the risk of inducing a potential fatal arrhythmias. [5][6].

Examples of pharmacological cardiotoxicity

Anti-arrhythmic drugs cardiotoxicity

Representation of the ion channel opening/closure.

The anti-arrhythmic drugs are a class of pharmacological compounds whose action is that of restore the normal sinus rhythm when a patient is affected by an arrhythmia, so their action is that of performing a pharmacological cardioversion.[7]

The pharmacological cardiotoxicity of anti-arrhythmic compounds is related, indeed, to the action of these drugs to induce potential fatal arrhythmias such as torsade de pointes or ventricular fibrillation. [8] The anti-arrhythmic drugs directly act on the opening/closure of ion channels, modifying as a consequence the ion currents. [9]

In treating arrhythmias, the pharmacological therapeutic action is related to the generation of a new combination of the blockage/opening of ion channels. Neverthelesse, This new pharmacologically induced configuration may lead to an unbalanace in ionic currents and as a consquence causing a modificatio in the action potential morphology which increases the risk of inducing an arrhythmia. [9]

It has been in fact studied over the years how the change of the action potential shape, i.e. prolungation of the repolarization phase or early after depolarizations, is bonded to the likely of inducing fatal arrhythmias such as torsade de pointes[10]. So, the risk of inducing a fatal arrhythmias has to be prevented assessing the pharmacological cardiotoxicity at the early stages of the manufacturing of a new drug[10].

Clinical cardiotoxicity assessment

During the study of a new pharmacological compound, a clinical trials is one of the phases before the market release[11]

At this level, following the directions of the clinical trial protocol, the new drug is administrated to the patient as a therapy and the patient’s clinical status is monitored aiming to evaluate possible side effects.[11][12]

Old paradigm

To assess pharmacological cardiotoxicity, it was common practice to measure QT interval in vivo and the blockage of Potassium channel [13]. Nevertheless, since 2013 a new paradigm has been developed to overcome the limits of the previous one. It has been in fact demonstrated that the old paradigm was too stringent, labelling as pro-arrhythmic some pharmacological compounds which actually were not.[13]

New paradigm: CiPA

So the Comprehensive in vitro pro-arrhythmia assay was born, accounting for both experimental data and detailed computational models which take into account multiple ionic currents instead of measuring just QT interval and Potassium channel blockage. This new paradigm aims to interlink the clinical evidence with in silico modeling to reconstruct the atrial and ventricular action potential and evaluate the likely for early afterdepolarization to occur.[13]

In Silico cardiotoxicity assessment

Background

In the last years, In Silico Medicine turned out to be promising, aiding scientists and clinicians to prevent and adequately cure several diseases [14]. Computational modeling aid in understanding complex phenomena, allowing scientists to vary parameters aiming to measure variables that otherwise could have not been investigated[14].

In the field of electrophysiology, the pharmacological cardiotoxicity assessment can be carried out leveraging specific computational models. According to the type and paramaters to be investigated in the research, it is possible to analyze the pharmacological effect on the atria and ventricles separately.[15][16]

Since the two cardiac chambers are very different each other and play a key role both on a functional and anatomical basis, suitable computational models have to be accounted for to describe their different behaviour. During the years several models have been developed: Courtemanche model for atria or O'Hara model for ventricles, in such way to best characterize and replicate the cellular action potential behaviour of the most relevant anatomical region of the heart[15][16].

Creation of a population of cellular action potentials

Ventricular Action Potential

In this way, It has been possible to create a virtual cellular population of cardiomyocytes and vary their conductances that are related to the main ionic currents which contribute to the action potential morphology, reflective of a specifical anatomical region of the heart [17][18].

In order to create a stable population of cellular action potentials, the biomarkers have to been accounted for. During the years several biomarkers have been developed to best characterize the instability of cellular action potentials. Few are reported as follows[17]:

  • APD90: it represents the action potential duration when the phase of the repolarization is at 90%, so it possible to associate to this value a time and it can be expressed as[19]:


  • APD90: it represents the action potential duration when the phase of the repolarization is at 50%, so it possible to associate to this value a time and it can be expressed as[19]:


  • APD20: it represents the action potential duration when the phase of the repolarization is at 20%, so it possible to associate to this value a time and it can be expressed as[19]:


  • Triangulation: it is a measure of how triangular is an action potential, expressed as[19]:


  • APA: it represents the action potential amplitude, expressed as[19]:


Many other can be used according to the needs of the research [20].

Regional clusterization

Once the cellular population is stable, all the action potential are compared to physiological data related to the most relevant anatomical regions, in such way to appropriately filter the action potential aiming to consider just the physiologically relevant ones [21] At the atrial level, the clusterization occurs with data associated to[21]:

Simulation of the pharmacological action

Early afterdepolarization

According to pharmacokinetic and pharmacodynamic data of the drugs, the pharmacological action is integrated in the model and by means of specific electrical stimuli protocols [22], the pharmacological effect of a new drug can be investigated in a completely safe and controlled computational enviroment, providing preliminary important considerations concerning the cardiotoxicity of new pharmacological compounds.[23]

According to the outcome of the simulations, several aspects can be investigated in order to identify the pro-arrhythmiciy of a new pharmacological compound.[24][25] The typical changes, called repolarization abnormalities, in the action potential morphology that are considered pro-arrhytmhmic may be[25]:

Torsade de point risk score

Simulation can be carried out at different effective plasmatic therapuetic level of the drugs to identify the level at which cardiotoxicity can not be neglected. The data collected could be finally managed to create a score system aimed to define the torsadogenisk risk, namely the risk of inducing torsade de pointes, of the new drugs [26][6].

A possible Torsade de Point risk score to asess cardiotoxicity could be[6]:



where is the sum of all concentrations, [C] is the concentration taken into account, , is the total n umber of models in the population and represents the number of models showing repolarization abnormalities[6].

Tissue simulations

More detailed computation simulations can be carried out accounting for not cellular models, but taking into consideration the functional syncytium and enabling the cells to mutually interact, the so called electrotonic coupling.[27]

In case of tissue simulation or in wider cases, such as in whole organ simulations, all the cellular models are note appliable anymore and several corrections have to be made. Firstly the governing equations can not be just ordinary differential equation but a system of partial differential equation has to be accounted for[28]. A suitable choice may be the monodomain model[29]:



where is the effective conductivity tensor, is the capacitance of the cellular membrane, the transmembrane ionic current, and  are the domain of interest and its boundary respectively, with the outward boundary of [29].

See also

References

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