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Principal Investigator: DeAnalisa Jones
Organization: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
Fiscal Year: 2024
Award: $47,211
Funding agency: National Heart Lung and Blood Institute
PROJECT SUMMARY
Sudden cardiac death (SCD) is estimated to cause 4-5 million deaths per year worldwide. In patients with heart
failure, SCD is the number one leading cause of death and is linked to the onset of ventricular arrhythmias.
Understanding how ventricular arrhythmias arise in patients with heart failure is thus critical to designing
effective drugs that prevent SCD and prolong survival in patients with heart failure. In ventricular
cardiomyocytes, the foundation of excitation-contraction coupling is intracellular Ca2+ signaling. Specifically,
activation of voltage-gated Ca2+ channels cause Ca2+ release from the SR via Ca2+ release channels resulting
in local increases in cytoplasmic [Ca2+] known as “sparks.” Sparks then sum to generate global increases in
cytoplasmic [Ca2+] across the cell called Ca2+ transients. Under normal circumstances, this is a tightly
controlled and coordinated process that leads to synchronous contraction of the ventricles. When disturbed,
however, dyssynchronous Ca2+ release across the cell, known as Ca2+ waves, can lead to uncoordinated
ventricular contraction i.e. arrhythmia.
When studying conditions that are technically challenging—such as visualizing the arrangement of individual
Ca2+ release channels on the SR—or investigating conditions that cannot be easily manipulated—such as
studying how changing that arrangement affects probability of arrhythmogenic wave formation—computational
modeling becomes very useful. Such variables can be easily manipulated to predict experimentally measurable
outcomes. While modeling has been used to study Ca2+ sparks and waves previously, current mathematical
models make several assumptions about the subcellular properties of Ca2+ release units. More specifically,
they assume that only ryanodine receptors are responsible for SR Ca2+ release while ignoring IP3 receptors,
which are lowly expressed in healthy ventricular myocytes and show increased expression in failing myocytes.
They also assume homogeneous dyadic geometry and spatial arrangement of channels between release sites.
While it is known that properties such as the number of release channels in a release unit are variable in
healthy myocytes, these effects as well as changes to dyadic geometry become especially prominent in failing
ventricular myocytes in which remodeling has occurred, and should thus be included in models.
Given the immense clinical need to understand how changes to ventricular myocytes in heart failure
predisposes to arrhythmia and SCD yet the difficulty in experimentally manipulating important spatial and
geometric changes found in failing myocytes, there is a clear need for accurate mathematical models of
intracellular Ca2+ signaling in failing compared to healthy myocytes. I plan to address this need by developing
more accurate models of Ca2+ sparks and Ca2+ waves that account for (1) heterogeneity in Ca2+ release units
and (2) the expression of IP3 receptors in both healthy and diseased ventricular myocytes. I will then refine
these models based on in vitro experimental findings.
Terms: <Address><Affect><Arrhythmia><Atrial><Behavior><Ca Release Channel-Ryanodine Receptor><Calcium><Calcium Ion Signaling><Calcium Signaling><Calcium-Ryanodine Receptor Complex><Cardiac Arrhythmia><Cardiac Atrium><Cardiac Muscle Cells><Cardiac Myocytes><Cardiocyte><Cardiovascular Diseases><Cause of Death><Cell Body><Cell Communication and Signaling><Cell Function><Cell Physiology><Cell Process><Cell Signaling><Cell membrane><Cells><Cellular Function><Cellular Physiology><Cellular Process><Cessation of life><Clinical><Common Rat Strains><Computer Models><Computerized Models><Coupling><Cytoplasm><Cytoplasmic Membrane><Data><Death><Development><Disease><Disorder><Drugs><Event><Foundations><Frequencies><Geometry><Heart Arrhythmias><Heart Atrium><Heart Muscle Cells><Heart failure><Heart myocyte><Heterogeneity><In Vitro><Individual><Intracellular Communication and Signaling><Link><Math Models><Measures><Mediating><Medication><Membrane><Minor><Modeling><Muscle Cells><Myocytes><Outcome Measure><Pathologic><Pathway interactions><Patients><Pharmaceutical Preparations><Physiologic><Physiological><Plasma Membrane><Play><Probability><Process><Property><Rat><Rats Mammals><Rattus><Receptor Protein><Risk><Role><Ryanodine Receptor><Ryanodine Receptor Calcium Release Channel><Signal Transduction><Signal Transduction Systems><Signaling><Site><Subcellular Process><Sum><Testing><Training><Validation><Ventricular><Ventricular Arrhythmia><Visualization><atrium><biological signal transduction><cardiac failure><cardiomyocyte><cardiovascular disorder><cell type><computational modeling><computational models><computer based models><computer based prediction><computerized modeling><design><designing><developmental><drug/agent><insight><mathematic model><mathematical model><mathematical modeling><measurable outcome><membrane structure><multi-scale computational modeling><multi-scale mathematical modeling><multi-scale modeling><multiscale computational modeling><multiscale mathematical modeling><multiscale modeling><nanometer><novel><outcome measurement><pathway><plasmalemma><predictive modeling><prevent><preventing><receptor><receptor expression><social role><spatiotemporal><sudden cardiac death><tool><validations><voltage>