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Quantitative cross-species translators of cardiac myocyte electrophysiology: Model training, experimental validation, and applications.
Morotti, Stefano; Liu, Caroline; Hegyi, Bence; Ni, Haibo; Fogli Iseppe, Alex; Wang, Lianguo; Pritoni, Marco; Ripplinger, Crystal M; Bers, Donald M; Edwards, Andrew G; Grandi, Eleonora.
Afiliación
  • Morotti S; Department of Pharmacology, University of California Davis, Davis, CA 95616, USA.
  • Liu C; Department of Pharmacology, University of California Davis, Davis, CA 95616, USA.
  • Hegyi B; Department of Pharmacology, University of California Davis, Davis, CA 95616, USA.
  • Ni H; Department of Pharmacology, University of California Davis, Davis, CA 95616, USA.
  • Fogli Iseppe A; Department of Pharmacology, University of California Davis, Davis, CA 95616, USA.
  • Wang L; Department of Pharmacology, University of California Davis, Davis, CA 95616, USA.
  • Pritoni M; Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
  • Ripplinger CM; Department of Pharmacology, University of California Davis, Davis, CA 95616, USA.
  • Bers DM; Department of Pharmacology, University of California Davis, Davis, CA 95616, USA.
  • Edwards AG; Department of Pharmacology, University of California Davis, Davis, CA 95616, USA.
  • Grandi E; Department of Pharmacology, University of California Davis, Davis, CA 95616, USA.
Sci Adv ; 7(47): eabg0927, 2021 Nov 19.
Article en En | MEDLINE | ID: mdl-34788089
Animal experimentation is key in the evaluation of cardiac efficacy and safety of novel therapeutic compounds. However, interspecies differences in the mechanisms regulating excitation-contraction coupling can limit the translation of experimental findings from animal models to human physiology and undermine the assessment of drugs' efficacy and safety. Here, we built a suite of translators for quantitatively mapping electrophysiological responses in ventricular myocytes across species. We trained these statistical operators using a broad dataset obtained by simulating populations of our biophysically detailed computational models of action potential and Ca2+ transient in mouse, rabbit, and human. We then tested our translators against experimental data describing the response to stimuli, such as ion channel block, change in beating rate, and ß-adrenergic challenge. We demonstrate that this approach is well suited to predicting the effects of perturbations across different species or experimental conditions and suggest its integration into mechanistic studies and drug development pipelines.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Adv Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Adv Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos