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Biology subjects

Busti, S.

Publications and source records attributed to Busti, S..

2 recordsLinked to original sources

Cellular consequences of non-ablative radiotherapy, a novel approach to ventricular tachycardias

BackgroundRadiotherapy (RT) with a single focused application of ionizing radiation (STAR) has been suggested as a non-invasive alternative to radiofrequency in ablating ventricular tachycardia (VT). Emerging data reveal that STAR may suppress VT without substrate destruction, by enhancing impulse conduction instead, through increased expression of NaV1.5 channels and connexin 43. AimsTo investigate electrophysiology and intracellular Ca2+ dynamics in cardiomyocytes (CMs) from mice subjected to in-vivo RT. The emerging data led us to evaluate biochemical changes potentially linking electrophysiological response to ionizing irradiation. MethodsCMs isolated 2 weeks after RT with low-dose (15 Gy) or high-dose (25 Gy) were compared to those of sham-treated mice (CTRL). We evaluated: i) INaT and INasus properties; ii) AP parameters, including the prevalence of Early After-Depolarizations (EADs); iii) intracellular Ca2+ dynamics; iv) CaMKII phosphorylation and v) ROS content. Results25 Gy RT i) increased INaT and, to a larger extent, INasus (increased INasus/INaT ratio); ii) increased AP amplitude, +dV/dtmax and duration (APD) and facilitated EADs; iii) depressed intracellular Ca2+ dynamics. 15 Gy RT had similar but smaller effects (dose-dependency). 25 Gy RT reduced CaMKII phosphorylation but increased cell ROS content, thus providing a mechanism for INaL enhancement. ConclusionsThe results support the view that STAR may supress VT by increasing conduction velocity, with APD prolongation providing an additional mechanism. On the other hand, INasus enhancement (likely by ROS) and Ca2+ handling depression may impair electrical stability and contractility in the irradiated region.

physiology↗

A modular model integrating metabolism, growth, and cell cycle predicts that fermentation is required to modulate cell size in yeast populations

For unicellular organisms, the reproduction rate and growth are crucial determinants of fitness and, therefore, essential functional manifestations of the organism genotype. Using the budding yeast Saccharomyces cerevisiae as a model organism, we integrated metabolism, which provides energy and building blocks for growth, with cell mass growth and cell cycle progression into a low-granularity, multiscale (from cell to population) computational model. This model predicted that cells with constitutive respiration do not modulate cell size according to the growth conditions. We experimentally validated the model predictions using mutants with defects in the upper part of glycolysis or glucose transport. Plugging in molecular details of cellular subsystems allowed us to refine predictions from the cellular to the molecular level. Our hybrid multiscale modeling approach provides a framework for structuring molecular knowledge and predicting cell phenotypes under various genetic and environmental conditions.

systems biology↗