Closed-loop investigation of the dynamical properties of cardiomyocyte electrophysiology by means of Dynamic clamp and Mathematical modelling

The research field of my PhD concerns mathematical modeling and numerical simulation, applied to the cardiac electrophysiology analysis at a single cell level. This is possible thanks to the development of mathematical descriptions of single cellular components, ionic channels, pumps, exchangers and subcellular compartments. Due to the difficulties of vivo experiments on human cells, most of the measurements are acquired in vitro using animal models (e.g. guinea pig, dog, rabbit). Moreover, to study the cardiac action potential and all its features, it is necessary to acquire more specific knowledge about single ionic currents that contribute to the cardiac activity. Electrophysiological models of the heart have become very accurate in recent years giving rise to extremely complicated systems of differential equations. Although describing the behavior of cardiac cells quite well, the models are computationally demanding for numerical simulations and are very difficult to analyze from a mathematical (dynamical-systems) viewpoint. Simplified mathematical models that capture the underlying dynamics to a certain extent are therefore frequently used. The results presented in this thesis have confirmed that a close integration of computational modeling and experimental recordings in real myocytes, as performed by dynamic clamp, is a useful tool in enhancing our understanding of various components of normal cardiac electrophysiology, but also arrhythmogenic mechanisms in a pathological condition, especially when fully integrated with experimental data.

Trasduzione del segnale e poliamine nell'apoptosi di cellule cardiache

Introduction: Apoptotic cell death of cardiomyocytes is involved in several cardiovascular diseases including ischemia, hypertrophy and heart failure, thus representing a potential therapeutic target. Apoptosis of cardiac cells can be induced experimentally by several stimuli including hypoxia, serum withdrawal or combination of both. Several lines of research suggest that neurohormonal mechanisms play a central role in the progression of heart failure. In particular, excessive activation of the sympathetic nervous system or the renin-angiotensin-aldosterone system is known to have deleterious effects on the heart. Recent studies report that norepinephrine (NE), the primary transmitter of sympathetic nervous system, and aldosterone (ALD), which is actively produced in failing human heart, are able to induce apoptosis of rat cardiomyocytes. Polyamines are biogenic amines involved in many cellular processes, including apoptosis. Actually it appears that these molecules can act as promoting, modulating or protective agents in apoptosis depending on apoptotic stimulus and cellular model. We have studied the involvement of polyamines in the apoptosis of cardiac cells induced in a model of simulated ischemia and following treatment with NE or ALD. Methods: H9c2 cardiomyoblasts were exposed to a condition of simulated ischemia, consisting of hypoxia plus serum deprivation. Cardiomyocyte cultures were prepared from 1-3 day-old neonatal Wistar rat hearts. Polyamine depletion was obtained by culturing the cells in the presence of α-difluoromethylornithine (DFMO). Polyamines were separated and quantified in acidic cellular extracts by HPLC after derivatization with dansyl chloride. Caspase activity was measured by the cleavage of the fluorogenic peptide substrate. Ornithine decarboxylase (ODC) activity was measured by estimation of the release of 14C-CO2 from 14C-ornithine. DNA fragmentation was visualized by the method of terminal transferase-mediated dUTP nick end-labeling (TUNEL), and DNA laddering on agarose gel electophoresis. Cytochrome c was detected by immunoflorescent staining. Activation of signal transduction pathways was investigated by western blotting. Results: The results indicate that simulated ischemia, NE and ALD cause an early induction of the activity of ornithine decarboxylase (ODC), the first enzyme in polyamine biosynthesis, followed by a later increase of caspase activity, a family of proteases that execute the death program and induce cell death. This effect was prevented in the presence of DFMO, an irreversible inhibitor of ODC, thus suggesting that polyamines are involved in the execution of the death program activated by these stimuli. In H9c2 cells DFMO inhibits several molecular events related to apoptosis that follow simulated ischemia, such as the release of cytochrome c from mitochondria, down-regulation of Bcl-xL, and DNA fragmentation. The anti-apoptotic protein survivin is down-regulated after ALD or NE treatement and polyamine depletion obtained by DFMO partially opposes survivin decrease. Moreover, a study of key signal transduction pathways governing cell death and survival, revealed an involvement of AMP activated protein kinase (AMPK) and AKT kinase, in the modulation by polyamines of the response of cardiomyocytes to NE. In fact polyamine depleted cells show an altered pattern of AMPK and AKT activation that may contrast apoptosis and appears to result from a differential effect on the specific phosphatases that dephosphorylate and switch off these signaling proteins. Conclusions: These results indicate that polyamines are involved in the execution of the death program activated in cardiac cells by heart failure-related stimuli, like ischemia, ALD and NE, and suggest that their apoptosis facilitating action is mediated by a network of specific phosphatases and kinases.

Computational Modeling of Cardiac Excitation-Contraction Coupling in Physiological and Pathological Conditions

The cardiomyocyte is a complex biological system where many mechanisms interact non-linearly to regulate the coupling between electrical excitation and mechanical contraction. For this reason, the development of mathematical models is fundamental in the field of cardiac electrophysiology, where the use of computational tools has become complementary to the classical experimentation. My doctoral research has been focusing on the development of such models for investigating the regulation of ventricular excitation-contraction coupling at the single cell level. In particular, the following researches are presented in this thesis: 1) Study of the unexpected deleterious effect of a Na channel blocker on a long QT syndrome type 3 patient. Experimental results were used to tune a Na current model that recapitulates the effect of the mutation and the treatment, in order to investigate how these influence the human action potential. Our research suggested that the analysis of the clinical phenotype is not sufficient for recommending drugs to patients carrying mutations with undefined electrophysiological properties. 2) Development of a model of L-type Ca channel inactivation in rabbit myocytes to faithfully reproduce the relative roles of voltage- and Ca-dependent inactivation. The model was applied to the analysis of Ca current inactivation kinetics during normal and abnormal repolarization, and predicts arrhythmogenic activity when inhibiting Ca-dependent inactivation, which is the predominant mechanism in physiological conditions. 3) Analysis of the arrhythmogenic consequences of the crosstalk between β-adrenergic and Ca-calmodulin dependent protein kinase signaling pathways. The descriptions of the two regulatory mechanisms, both enhanced in heart failure, were integrated into a novel murine action potential model to investigate how they concur to the development of cardiac arrhythmias. These studies show how mathematical modeling is suitable to provide new insights into the mechanisms underlying cardiac excitation-contraction coupling and arrhythmogenesis.