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Development, calibration, and validation of a novel human ventricular myocyte model in health, disease, and drug block.
Tomek, Jakub; Bueno-Orovio, Alfonso; Passini, Elisa; Zhou, Xin; Minchole, Ana; Britton, Oliver; Bartolucci, Chiara; Severi, Stefano; Shrier, Alvin; Virag, Laszlo; Varro, Andras; Rodriguez, Blanca.
Afiliación
  • Tomek J; Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
  • Bueno-Orovio A; Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
  • Passini E; Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
  • Zhou X; Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
  • Minchole A; Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
  • Britton O; Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
  • Bartolucci C; Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.
  • Severi S; Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.
  • Shrier A; Department of Physiology, McGill University, Montreal, Canada.
  • Virag L; Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary.
  • Varro A; Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Szeged, Szeged, Hungary.
  • Rodriguez B; Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford, United Kingdom.
Elife ; 82019 12 24.
Article en En | MEDLINE | ID: mdl-31868580
Decades of intensive experimental and clinical research have revealed much about how the human heart works. Though incomplete, this knowledge has been used to construct computer models that represent the activity of this organ as a whole, and of its individual chambers (the atria and ventricles), tissues and cells. Such models have been used to better understand life-threatening irregular heartbeats; they are also beginning to be used to guide decisions about the treatment of patients and the development of new drugs by the pharmaceutical industry. Yet existing computer models of the electrical activity of the human heart are sometimes inconsistent with experimental data. This problem led Tomek et al. to try to create a new model that was consistent with established biophysical knowledge and experimental data for a wide range of conditions including disease and drug action. Tomek et al. designed a strategy that explicitly separated the construction and validation of a model that could recreate the electrical activity of the ventricles in a human heart. This model was able to integrate and explain a wide range of properties of both healthy and diseased hearts, including their response to different drugs. The development of the model also uncovered and resolved theoretical inconsistencies that have been present in almost all models of the heart from the last 25 years. Tomek et al. hope that their new human heart model will enable more basic, translational and clinical research into a range of heart diseases and accelerate the development of new therapies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Potenciales de Acción / Miocitos Cardíacos / Modelos Cardiovasculares Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Elife Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Potenciales de Acción / Miocitos Cardíacos / Modelos Cardiovasculares Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Elife Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido