Analysis of viral and cellular parameters which affect the fusion process of influenza viruses

In the present investigation we studied the fusogenic process developed by influenza A, B and C viruses on cell surfaces and different factors associated with virus and cell membrane structures. The biological activity of purified virus strains was evaluated in hemagglutination, sialidase and fusion assays. Hemolysis by influenza A, B and C viruses ranging from 77.4 to 97.2%, from 20.0 to 65.0% from 0.2 to 93.7% and from 9.0 to 76.1% was observed when human, chicken, rabbit and monkey erythrocytes, respectively, were tested at pH 5.5. At this pH, low hemolysis indexes for influenza A, B and C viruses were observed if horse erythrocytes were used as target cells for the fusion process, which could be explained by an inefficient receptor binding activity of influenza on N-glycolyl sialic acids. Differences in hemagglutinin receptor binding activity due to its specificity to N-acetyl or N-glycolyl cell surface oligosaccharides, density of these cellular receptors and level of negative charges on the cell surface may possibly explain these results, showing influence on the sialidase activity and the fusogenic process. Comparative analysis showed a lack of dependence between the sialidase and fusion activities developed by influenza B viruses. Influenza A viruses at low sialidase titers (< 2) also exhibited clearly low hemolysis at pH 5.5 (15.8%), while influenza B viruses with similarly low sialidase titers showed highly variable hemolysis indexes (0.2 to 78.0%). These results support the idea that different virus and cell-associated factors such as those presented above have a significant effect on the multifactorial fusion process.     

Phagocytic activity in stressed mice: effects of alprazolam

To evaluate the possible role of ethnicity in susceptibility to filarial infection, a comparative study of the prevalence of filarial infection was initiated in an endemic village inhabited by two ethnic populations of mainlanders and tribals. An age and sex matched sampled population of 591 mainlanders and 106 tribals was studied by detailed clinical and parasitological (60 mm3 blood) examinations. Sera collected from both population groups (26 each) matched for clinical stage of infection were analysed for humoral immune responses such as antifilarial IgG, circulating filarial antigen and immune complex level. The overall prevalences of clinical disease and infection in both mainlanders (34.18 and 14.4%) and tribals (25.47 and 17.9%) were comparable. However, both annual average adenolymphangitic attack rate (1.77 year-1) and the prevalence of chronic filarial disease (22.6%) amongst tribals were significantly lower. No true elephantiasis was observed in tribals. No significant difference was observed in their humoral immune response, although the antifilarial antibody of IgG class in all stages of filarial infection was lower in tribals than in mainlanders. The results did not reveal any difference in susceptibility to filarial infection in the ethnic groups. The paucity of progressive lesions observed in tribals possibly reflects a difference in the anatomy of lymphatics or genetic or immunoregulatory mechanisms, that needs further study.     

Hydrothermal temperature dependence of CaWO4 nanoparticles: structural,optical, morphology and photocatalytic activity

Journal of Materials Science: Materials in Electronics - In this paper, CaWO4 nanoparticles were prepared by the hydrothermal method using the temperature of 100 (CaWO4-100), 120 (CaWO4-120), 140...     

Potential of NMR spectroscopy for the study of human amniotic fluid

1D and 2D 800 MHz high-resolution nuclear magnetic resonance spectroscopy of human amniotic fluid (HAF) enabled the identification of approximately 50 metabolites. In addition, liquid chromatography-NMR and diffusion ordered spectroscopy (DOSY) allowed signal overlap to be reduced and the characterization of higher molecular weight (Mw) components, respectively. Indeed, the DOSY spectrum of a Mw >10 kDa HAF fraction enabled three protein families, differing in average Mw, to be detected and may therefore be of potential value in the study of disorder-related variations in HAF protein profiles. The effects of freeze-drying, storage at -20 or -70 degrees C, and freeze-thawing cycles on HAF compositional stability were investigated, as well as stability at room temperature (to account for overnight data acquisition runs). These data are the basis for establishing statistically validated correlations between HAF NMR data and any physiological disorders of the fetus/mother. Freeze-drying caused signal loss for urea, ethanol, and compounds resonating at 2.22 and 1.17 ppm. Storage at -70 degrees C or lower is recommended since only minor compositional changes were observed, affecting mainly acetate and pyruvate. Freeze-thaw cycles did not cause significant compositional changes, and room-temperature stability studies indicated a 4-5 h maximum period of handling/acquisition time to ensure HAF stability.     

Introducing the fractional-order Darwinian PSO

One of the most well-known bio-inspired algorithms used in optimization problems is the particle swarm optimization (PSO), which basically consists on a machine-learning technique loosely inspired by birds flocking in search of food. More specifically, it consists of a number of particles that collectively move on the search space in search of the global optimum. The Darwinian particle swarm optimization (DPSO) is an evolutionary algorithm that extends the PSO using natural selection, or survival of the fittest, to enhance the ability to escape from local optima. This paper firstly presents a survey on PSO algorithms mainly focusing on the DPSO. Afterward, a method for controlling the convergence rate of the DPSO using fractional calculus (FC) concepts is proposed. The fractional-order optimization algorithm, denoted as FO-DPSO, is tested using several well-known functions, and the relationship between the fractional-order velocity and the convergence of the algorithm is observed. Moreover, experimental results show that the FO-DPSO significantly outperforms the previously presented FO-PSO.     

Identification of N-acetylneuraminic acid and its 9-O-acetylated derivative on the cell surface of Cryptococcus neoformans: influence on fungal phagocytosis

Sialic acids from sialoglycoconjugates present at the cell surface of Cryptococcus neoformans yeast forms were analyzed by high-performance thin-layer chromatography, binding of influenza A and C virus strains, enzymatic treatment, and flow cytofluorimetry with fluorescein isothiocyanate-labeled lectins. C. neoformans yeast forms grown in a chemically defined medium contain N-acetylneuraminic acid and its 9-O-acetylated derivative. A density of 3 x 10(6) residues of sialic acid per cell was found in C. neoformans. Sialic acids in cryptococcal cells are glycosidically linked to galactopyranosyl units as inferred from the increased reactivity of neuraminidase-treated yeasts with peanut agglutinin. N-Acetylneuraminic acids are alpha-2,6 and alpha-2,3 linked, as indicated by using virus strains M1/5 and M1/5 HS8, respectively, as agglutination probes. The alpha-2,6 linkage markedly predominated. These findings were essentially confirmed by the interaction of cryptococcal cells with the lectins Sambucus nigra agglutinin and Maackia amurensis agglutinin. We also investigated whether the sialyl residues present in C. neoformans are involved in the fungal interaction with a cationic solid-phase substrate and with mouse resident macrophages. Adhesion of yeast cells to poly-L-lysine was mediated, in part, by sialic acid residues, since the number of adherent cells was markedly reduced after treatment with bacterial neuraminidase. The enzymatic removal of sialic acids also made C. neoformans yeast cells more susceptible to endocytosis by macrophages. The results show that sialic acids are components of the cryptococcal cell surface that contribute to its negative charge and protect yeast forms against phagocytosis.     

Mechanism and Convergence Analysis of a Multi-Robot Swarm Approach Based on Natural Selection

The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Particle Swarm Optimization (PSO) using natural selection, or survival-of-the-fittest, to enhance the ability to escape from local optima. An extension of the DPSO to multi-robot applications has been recently proposed and denoted as Robotic Darwinian PSO (RDPSO), benefiting from the dynamical partitioning of the whole population of robots. Therefore, the RDPSO decreases the amount of required information exchange among robots, and is scalable to large populations of robots. This paper presents a stability analysis of the RDPSO to better understand the relationship between the algorithm parameters and the robot’s convergence. Moreover, the analysis of the RDPSO is further extended for real robot constraints (e.g., robot dynamics, obstacles and communication constraints) and experimental assessment with physical robots. The optimal parameters are evaluated in groups of physical robots and a larger population of simulated mobile robots for different target distributions within larger scenarios. Experimental results show that robots are able to converge regardless of the RDPSO parameters within the defined attraction domain. However, a more conservative parametrization presents a significant influence on the convergence time. To further evaluate the herein proposed approach, the RDPSO is further compared with four state-of-the-art swarm robotic alternatives under simulation. It is observed that the RDPSO algorithm provably converges to the optimal solution faster and more accurately than the other approaches.