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.

Computational insight into materials properties

The aim of the work was to explore the practical applicability of molecular dynamics at different length and time scales. From nanoparticles system over colloids and polymers to biological systems like membranes and finally living cells, a broad range of materials was considered from a theoretical standpoint. In this dissertation five chemistry-related problem are addressed by means of theoretical and computational methods. The main results can be outlined as follows. (1) A systematic study of the effect of the concentration, chain length, and charge of surfactants on fullerene aggregation is presented. The long-discussed problem of the location of C60 in micelles was addressed and fullerenes were found in the hydrophobic region of the micelles. (2) The interactions between graphene sheet of increasing size and phospholipid membrane are quantitatively investigated. (3) A model was proposed to study structure, stability, and dynamics of MoS2, a material well-known for its tribological properties. The telescopic movement of nested nanotubes and the sliding of MoS2 layers is simulated. (4) A mathematical model to gain understaning of the coupled diffusion-swelling process in poly(lactic-co-glycolic acid), PLGA, was proposed. (5) A soft matter cell model is developed to explore the interaction of living cell with artificial surfaces. The effect of the surface properties on the adhesion dynamics of cells are discussed.

Intestinal microbiome in chronic intestinal failure and associations with intestinal failure associated liver disease

Background and Aims: Intestinal dysbiosis has been described in children with chronic intestinal failure (CIF) and in adults with short bowel syndrome (SBS), mostly with jejunocolic anastomosis (SBS-2) and jejuno-ileal anastomosis (SBS-3), linked to generic data with the pathogenesis of Intestinal Failure Associated Liver Disease (IFALD). Little is known about gut microbiome of adults with end-jejunostomy (SBS-1) and in CIF other than SBS and any specific associations with the onset of IFALD. We aimed to describe the fecal microbiome of adult patients with different mechanisms of CIF and any possible associations with the development of IFALD. Material and methods: Fecal samples from 61 patients with benign CIF. Phylogenetic characterization of the microbiome by amplification of the hypervariable regions V3 and V4 of the bacterial gene encoding 16S rRNA, and subsequent grouping of sequences in amplicon sequence variants (ASVs). Patient samples comparison to microbiome sequences from 61 healthy subjects, matched for sex and age, selected from the healthy subjects library of the Laboratory of the Microbial Ecology of Health Unit, Department of Pharmacy and Biotechnology, of the University of Bologna. IFALD was assessed by the diagnostic criteria of IFALD-cholestasis, IFALD-steatosis, IFALD-fibrosis. Results: Decreased bacterial α-diversity in CIF patients (increase of Proteobacteria and Actinobacteria and decrease in Bacteroidetes). Identification of microbial family-level signatures specific for CIF mechanisms (increase in Actinomycetaceae and Streptococcaceae in SBS-1, Bifidobacteriaceae and Lactobacillaceae in SBS-2, Bacteroidaceae and Porphyromonadaceae in dysmotility). Abundance of Lactobacillus and Lactobacillaceae strongly associated with IFALD-cholestasis and IFALD–fibrosis for SBS-1; Peptostreptococcus, Prevotellaceae (Prevotella) and Pasteurellaceae (Haemophilus) significantly increased in IFALD-fibrosis for other CIF mechanisms. Conclusions: CIF patients had a marked intestinal dysbiosis with microbial family-level signatures specific to the pathophysiological mechanism. Specific characteristics of microbiome may contribute to the pathogenesis of IFALD. Intestinal microbiome could become a therapeutic target in patients with CIF.