Statistical physics approach to quantifying differences in myelinated nerve fibers.

We present a new method to quantify differences in myelinated nerve fibers. These differences range from morphologic characteristics of individual fibers to differences in macroscopic properties of collections of fibers. Our method uses statistical physics tools to improve on traditional measures, such as fiber size and packing density. As a case study, we analyze cross-sectional electron micrographs from the fornix of young and old rhesus monkeys using a semi-automatic detection algorithm to identify and characterize myelinated axons. We then apply a feature selection approach to identify the features that best distinguish between the young and old age groups, achieving a maximum accuracy of 94% when assigning samples to their age groups. This analysis shows that the best discrimination is obtained using the combination of two features: the fraction of occupied axon area and the effective local density. The latter is a modified calculation of axon density, which reflects how closely axons are packed. Our feature analysis approach can be applied to characterize differences that result from biological processes such as aging, damage from trauma or disease or developmental differences, as well as differences between anatomical regions such as the fornix and the cingulum bundle or corpus callosum.

Dengue virus 3 genotype I in Aedes aegypti mosquitoes and eggs, Brazil, 2005-2006.

Dengue virus type 3 genotype I was detected in Brazil during epidemics in 2002-2004. To confirm this finding, we identified this virus genotype in naturally infected field-caught Aedes aegypti mosquitoes and eggs. Results showed usefulness of virus investigations in vectors as a component of active epidemiologic surveillance.

Short report: Isolation of two vaccinia virus strains from a single bovine vaccinia outbreak in rural area from Brazil: Implications on the emergence of zoonotic orthopoxviruses.

Outbreaks of bovine vaccinia disease caused by circulation of Vaccinia virus (VACV) strains have been a common occurrence in Brazil in the recent years, being an important emergent zoonosis. During a single outbreak that took place in 2001, two genetically different VACV strains were isolated and named Guarani P1 virus (GP1V) and Guarani P2 virus (GP2V). Molecular diagnosis was done through restriction fragment length polymorphism (RFLP) of ati gene (A26L) and by sequence analysis of a group of five VACV genes including the C11R, J2R, A56R, B18R, and E3L genes. These findings confirmed the co-circulation of two different Vaccinia virus strains during the same outbreak, raising important questions about the origin, emergence, and circulation of VACV strains in Brazil.

Passatempo virus, a vaccinia virus strain, Brazil.

Passatempo virus was isolated during a zoonotic outbreak. Biologic features and molecular characterization of hemagglutinin, thymidine kinase, and vaccinia growth factor genes suggested a vaccinia virus infection, which strengthens the idea of the reemergence and circulation of vaccinia virus in Brazil. Molecular polymorphisms indicated that Passatempo virus is a different isolate.