Large deforming buoyant embolus passing through a stenotic common carotid artery: a computational simulation

Arterial embolism is responsible for the death of lots of people who suffers from heart diseases. The major risk of embolism in upper limbs is that the ruptured particles are brought into the brain, thus stimulating neurological symptoms or causing the stroke. We presented a computational model using fluid-structure interactions (FSI) to investigate the physical motion of a blood clot inside the human common carotid artery. We simulated transportation of a buoyant embolus in an unsteady flow within a finite length tube having stenosis. Effects of stenosis severity and embolus size on arterial hemodynamics were investigated. To fulfill realistic nonlinear property of a blood clot, a rubber/foam model was used. The arbitrary Lagrangian-Eulerian formulation (ALE) and adaptive mesh method were used inside fluid domain to capture the large structural interfacial movements. The problem was solved by simultaneous solution of the fluid and the structure equations. Stress distribution and deformation of the clot were analyzed and hence, the regions of the embolus prone to lysis were localized. The maximum magnitude of arterial wall shear stress during embolism occurred at a short distance proximal to the throat of the stenosis. Through embolism, arterial maximum wall shear stress is more sensitive to stenosis severity than the embolus size whereas role of embolus size is more significant than the effect of stenosis severity on spatial and temporal gradients of wall shear stress downstream of the stenosis and on probability of clot lysis due to clot stresses while passing through the stenosis.     

Structural studies of hen egg-white lysozyme dimer: comparison with monomer

A facile method for the formation of covalent bonds between protein molecules is zero length cross-linking. This method enables the formation of cross-links without use of any chemical reagents. Here, we report a cross-linking method for lysozyme and some structural studies as well as catalytic activity assay was performed on lysozyme dimer. The results showed that catalytic activity of lysozyme dimer was the same as monomer. Also, the GdnCl-induced equilibrium unfolding of hen egg-white lysozyme monomer and dimer at pH 2 was studied over a temperature range of 290.7-303.2 K by means of CD spectroscopy. The lack of coincidence between two unfolding curves at 222 and 289 nm in lysozyme dimer was observed, which suggested the existence of intermediate state in unfolding process, while lysozyme monomer showed a single cooperative transition. Thus, the thermodynamic parameters were estimated on the basis of two-state mechanism for lysozyme monomer and three-state one for lysozyme dimer. These results indicated that zero length cross-linking can stabilize the intermediate, so the population of intermediate increased. Our results offer a special opportunity to study the role of intermediates in protein folding mechanisms. In addition thermal unfolding of monomer and dimer in 222 nm was achieved.     

Early real-time estimation of the basic reproduction number of emerging or reemerging infectious diseases in a community with heterogeneous contact pattern: Using data from Hong Kong 2009 H1N1 Pandemic Influenza as an illustrative example

Emerging and re-emerging infections such as SARS (2003) and pandemic H1N1 (2009) have caused concern for public health researchers and policy makers due to the increased burden of these diseases on health care systems. This concern has prompted the use of mathematical models to evaluate strategies to control disease spread, making these models invaluable tools to identify optimal intervention strategies. A particularly important quantity in infectious disease epidemiology is the basic reproduction number, R_0. Estimation of this quantity is crucial for effective control responses in the early phase of an epidemic. In our previous study, an approach for estimating the basic reproduction number in real time was developed. This approach uses case notification data and the structure of potential transmission contacts to accurately estimate R₀ from the limited amount of information available at the early stage of an outbreak. Based on this approach, we extend the existing methodology; the most recent method features intra- and inter-age groups contact heterogeneity. Given the number of newly reported cases at the early stage of the outbreak, with parsimony assumptions on removal distribution and infectivity profile of the diseases, experiments to estimate real time R₀ under different levels of intra- and inter-group contact heterogeneity using two age groups are presented. We show that the new method converges more quickly to the actual value of R₀ than the previous one, in particular when there is high-level intra-group and inter-group contact heterogeneity. With the age specific contact patterns, number of newly reported cases, removal distribution, and information about the natural history of the 2009 pandemic influenza in Hong Kong, we also use the extended model to estimate R₀ and age-specific R₀.     

Saccharomyces cervisiae as an Efficient Carrier for Delivery of Bioactives: a Review

Food Biophysics - Recently, there has been growing interest in usingnatural vesicles for encapsulation of variousfood-grade ingredients. The structure ofyeast cells, along with their presence in...