Noninvasive aspergillosis as a maxillary antrolith: report of a rare case.

Maxillary antrolithiasis is characterized by masses of tissue of endogenous or exogenous origin that calcify within the maxillary sinuses. Aspergillosis is a fungal disease in which the maxillary sinus is a primary site of infection. Aspergillosis mycetoma, its noninvasive form, is the most prevalent modality of the disease in the maxillary sinuses. In approximately half of the cases reported in the literature, calcification of the fungal mycelia, which later became antroliths, was verified. This article reports a rare case of the accidental discovery of a maxillary antrolith associated with noninvasive aspergillosis in an immunocompetent and asymptomatic 56-year-old woman. The diagnosis and therapeutic procedures used in treating the patient are discussed as well as the probable iatrogenic origin of the fungal pathology.

Finding best urban routes based on analyses of high level and IOPT Petri net models

This paper presents a tool that combines two kinds of Petri Net analyses to set the fastest routes to one vehicle in a bounded area of traffic urban. The first analysis consists of the discovery of possible routes in a state space generated from an IOPT Petri net model given the initial marking as the vehicle position. The second analysis receives the routes found in the first analysis and calculates the state equations at incidence matrix created from the High Level Petri net model to define the fastest route for each vehicle that arrive in the roads. It was considered the exchange of information between vehicle and infrastructure (V2I) to get the position and speed of all vehicles and support the analyses. With the results obtained we conclude that is possible optimizing the urban traffic flow if this tool is applied to all vehicles in a bounded urban traffic. © 2012 IEEE.

Description and interpretation of Cenozoic vertebrate ichnofossils in Rio Grande do Sul State, Brazil

In the neighborhood of the city of Boqueirão do Leão (State of Rio Grande do Sul, Brazil) a set of three big-sized tunnels has been found. One of the tunnels is only partially filled with sand and accessible along its entire length. It is horizontal, slightly sinuous, 36 m long, up to 4.2 m wide and up to 2.0 m high. The surface morphology of the walls is composed of anthropogenic marks, speleothems, black incrustations and traces like digging scratches and smoothed surfaces. The 2nd tunnel has its entrance blocked by sand and sandstone cobbles, but the end of the tunnel is only partially clogged and therefore accessible. This accessible portion is 12 m long, 3 m wide and 1.5 m high. The 3rd tunnel is completely filled and collapsed and is nowadays only indicated by concave roof features at its end. The general features of the tunnel system and the analysis of the surface morphology of the walls of the accessible portions permit to conclude that the tunnels were produced by ground sloths of the Cenozoic South American megafauna. The size of the tunnels suggests that its excavation was gradually carried out by successive generations of sloth herds, and not by a single individual animal. The primary function of the tunnels probably was not protection from predators, which had easy access to structures of this size, but to shelter during a drier climate. However, it is not yet possible to relate the tunnels to a specific ground sloth genus, a task that depends on the discovery of better-preserved tunnel systems. © 2013 by the Sociedade Brasileira de Paleontologia.

The Development of a Universal In Silico Predictor of Protein-Protein Interactions

Protein-protein interactions (PPIs) are essential for understanding the function of biological systems and have been characterized using a vast array of experimental techniques. These techniques detect only a small proportion of all PPIs and are labor intensive and time consuming. Therefore, the development of computational methods capable of predicting PPIs accelerates the pace of discovery of new interactions. This paper reports a machine learning-based prediction model, the Universal In Silico Predictor of Protein-Protein Interactions (UNISPPI), which is a decision tree model that can reliably predict PPIs for all species (including proteins from parasite-host associations) using only 20 combinations of amino acids frequencies from interacting and non-interacting proteins as learning features. UNISPPI was able to correctly classify 79.4% and 72.6% of experimentally supported interactions and non-interacting protein pairs, respectively, from an independent test set. Moreover, UNISPPI suggests that the frequencies of the amino acids asparagine, cysteine and isoleucine are important features for distinguishing between interacting and non-interacting protein pairs. We envisage that UNISPPI can be a useful tool for prioritizing interactions for experimental validation. © 2013 Valente et al.

Development and Biotechnological Application of a Novel Endoxylanase Family GH10 Identified from Sugarcane Soil Metagenome

Metagenomics has been widely employed for discovery of new enzymes and pathways to conversion of lignocellulosic biomass to fuels and chemicals. In this context, the present study reports the isolation, recombinant expression, biochemical and structural characterization of a novel endoxylanase family GH10 (SCXyl) identified from sugarcane soil metagenome. The recombinant SCXyl was highly active against xylan from beechwood and showed optimal enzyme activity at pH 6,0 and 45°C. The crystal structure was solved at 2.75 Å resolution, revealing the classical (β/α)8-barrel fold with a conserved active-site pocket and an inherent flexibility of the Trp281-Arg291 loop that can adopt distinct conformational states depending on substrate binding. The capillary electrophoresis analysis of degradation products evidenced that the enzyme displays unusual capacity to degrade small xylooligosaccharides, such as xylotriose, which is consistent to the hydrophobic contacts at the +1 subsite and low-binding energies of subsites that are distant from the site of hydrolysis. The main reaction products from xylan polymers and phosphoric acid-pretreated sugarcane bagasse (PASB) were xylooligosaccharides, but, after a longer incubation time, xylobiose and xylose were also formed. Moreover, the use of SCXyl as pre-treatment step of PASB, prior to the addition of commercial cellulolytic cocktail, significantly enhanced the saccharification process. All these characteristics demonstrate the advantageous application of this enzyme in several biotechnological processes in food and feed industry and also in the enzymatic pretreatment of biomass for feedstock and ethanol production. © 2013 Alvarez et al.

Isolation and characterization of SNPs within HSC70 gene in the freshwater prawn Macrobrachium amazonicum

We report the discovery of 13 synonymous single nucleotide polymorphisms (SNPs) within a fragment of HSC70 gene in Macrobrachium amazonicum. Polymorphisms were assessed using the reference sequence of the HSC70 gene in Macrobrachium rosenbergii to the primers design. The minor allele frequency ranged from 0.011 to 0.213. None of the SNPs deviated significantly from Hardy-Weinberg equilibrium. These SNPs will be useful to access the genetic variation of populations and to the study of their relations with characteristics of interest for aquaculture. Both cases, favoring the conservation of the natural stocks of Amazon river prawn. © 2013 Springer Science+Business Media Dordrecht.

Metrics to support the evaluation of association rule clustering

Many topics related to association mining have received attention in the research community, especially the ones focused on the discovery of interesting knowledge. A promising approach, related to this topic, is the application of clustering in the pre-processing step to aid the user to find the relevant associative patterns of the domain. In this paper, we propose nine metrics to support the evaluation of this kind of approach. The metrics are important since they provide criteria to: (a) analyze the methodologies, (b) identify their positive and negative aspects, (c) carry out comparisons among them and, therefore, (d) help the users to select the most suitable solution for their problems. Some experiments were done in order to present how the metrics can be used and their usefulness. © 2013 Springer-Verlag GmbH.

Levantamento de sarcofagídeos(Diptera) do Brasil incluindo a caracterização molecular de Peckia (Pattonella) intermutans (Walker)

Pós-graduação em Biologia Geral e Aplicada - IBB

Taxonomic assessment and biotechnological potential of yeasts hold at the Unesp - Central for microbial resources

Pós-graduação em Ciências Biológicas (Microbiologia Aplicada) - IBRC

Entoepidemiology of Chagas disease in northwest Sao Paulo and cytogenetic analysis of its main vector, Triatoma sordida (Hemiptera: Triatominae)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Peptide Prodrugs for the Treatment of CNS Disorders: A Perspective for New Drugs

The treatment of central nervous system (CNS) diseases is a major challenge. The presence of the barrier intended to protect the brain from unwanted molecules also impairs the efficacy of CNS-targeted drugs. The discovery of drug targets for CNS diseases opens a door for the selective treatment of these diseases. However, the physicochemical properties of drugs, including their hydrophilic properties and their peripheral metabolism, as well as the blood-brain barrier, can adversely affect the therapeutic potential of CNS-targeted drugs. Although peptides are often metabolized by enzymes, they are of particular interest for the treatment of CNS diseases or as carriers to deliver drugs to the brain. In this review, we discuss the use of peptides as potential prodrugs for the treatment of CNS diseases.

Antifungal Activity of Decyl Gallate against Several Species of Pathogenic Fungi

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Use of Guanidine Compounds in the Treatment of Neglected Tropical Diseases

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Effects of lithium on the proliferation and migration of neuroblasts in the rostral migratory stream in adult mice

The discovery of neurogenesis in adult brains opened the possibility of cellular therapy strategies for the treatment of neurodegenerative diseases, such as Alzheimer’s disease. Neurogenesis in the adult brain occurs in two areas: subgranular zone of the hippocampus and subventricular zone (SVZ) of the lateral ventricles. Neurons that originate from the SVZ migrate to the olfactory bulb (OB) through the rostral migratory stream (RMS). In Alzheimer’s disease, there is a progressive neuronal dysfunction and degeneration, resulting in brain atrophy and cognitive impairments including olfactory dysfunction. Several studies have demonstrated that pharmacological treatment with lithium exerts positive effects on adult neurogenesis, and one pathway seems to be the modulation of factors that regulate the migration of neuroblasts. The objective of this study was to investigate whether treatment with lithium promotes the increase of migratory neuroblasts using as parameter the RMS. Adult male C57BL/6 mice were divided into control and lithium-treated groups. The animals were treated for 6 weeks and, at four different time points, i.e., 10 days, 7 days, 3 days and 1 day before the end of treatments, they received an injection of BrdU (cell proliferation marker). The animals were sacrificed by perfusion fixation and the brains were immunohistochemically labeled for BrdU for analysis of migrating neuroblasts in the RMS. The results showed that the number of BrdU+ cells in the RMS was not significantly different between the two groups, suggesting that lithium, alone, is not capable of increasing the number of neuroblasts migrating from the SVZ to the OB

Heritability of Growth traits in fragmented popularions of Copaifera langsdorffii Desf. (Fabaceae)

The aim of this study is to investigate the genetic control of growth traits in the initial phases of development in fragmented populations of Copaifera langsdorffii Desf., using microsatellite markers. For the effect two populations of C. langsdorffii were used: a municipal park located in Sao Jose do Rio Preto (SJRP) and at Assis Ecological Station (AES), both in the state of sao Paulo, Brazil. The model to estimate the heritability coefficient is the method of regression of a measure of phenotypic similarity and an estimate of kinship between paired individuals. The coefficients of relatedness and heritability were estimated for three classes of distance (10, 20 and 30 m) within populations. Estimates of heritability were low (maximum 0.15) for all traits, ranging from positive values for regenerating individuals of the population SJRP and from negative to positive for the juvenile population AES. In evolutionary terms, these results indicate little chance of changing the population mean of the characters studied by natural selection; with strong random environmental effects changing this average. The results also suggest that the heritability for height to decrease between regenerating to juvenile stage and the natural selection in natural populations is stronger in the early stages of plant development.