TY - JOUR
T1 - Computational and experimental models of Ca2+-dependent arrhythmias
AU - Sobie, Eric A.
AU - Wehrens, Xander H.T.
N1 - Funding Information:
E.A.S. is supported by NIH grants R01 HL076230 and P50 GM071558 . X.H.T.W. is a W.M. Keck Foundation Distinguished Young Scholar in Medical Research, and is also supported by NIH/NHLBI grants R01-HL089598 and R01-HL091947 . This work was also supported by grants by the Fondation Leducq ( 08CVD01 , Alliance for Calmodulin Kinase Signaling in Heart Disease, to X.H.T.W.).
PY - 2009/9
Y1 - 2009/9
N2 - Compelling evidence exists that in cardiac muscle cells, defects in release of calcium (Ca2+) from intracellular stores are responsible for triggering and/or maintenance of arrhythmias in at least some disorders. To better understand Ca2+-triggered arrhythmias in patients, the past several years have seen the development of in vitro pharmacological models using heart cells from animals, and, more recently, in vivo models of genetically modified mice. Here, we review several models that have been used to understand these arrhythmias, pointing out strengths and weaknesses of different approaches. We further argue that, because of the complexity of cardiac electrical and Ca2+ signaling, in silico computational models are likely to become increasingly important to understand quantitatively the competing effects that control potentially arrhythmogenic Ca2+ release in the heart.
AB - Compelling evidence exists that in cardiac muscle cells, defects in release of calcium (Ca2+) from intracellular stores are responsible for triggering and/or maintenance of arrhythmias in at least some disorders. To better understand Ca2+-triggered arrhythmias in patients, the past several years have seen the development of in vitro pharmacological models using heart cells from animals, and, more recently, in vivo models of genetically modified mice. Here, we review several models that have been used to understand these arrhythmias, pointing out strengths and weaknesses of different approaches. We further argue that, because of the complexity of cardiac electrical and Ca2+ signaling, in silico computational models are likely to become increasingly important to understand quantitatively the competing effects that control potentially arrhythmogenic Ca2+ release in the heart.
UR - http://www.scopus.com/inward/record.url?scp=77956652005&partnerID=8YFLogxK
U2 - 10.1016/j.ddmod.2010.04.002
DO - 10.1016/j.ddmod.2010.04.002
M3 - Review article
AN - SCOPUS:77956652005
SN - 1740-6757
VL - 6
SP - 57
EP - 61
JO - Drug Discovery Today: Disease Models
JF - Drug Discovery Today: Disease Models
IS - 3
ER -