995 resultados para Vetores virais recombinantes
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Results of educative actions on the control of vectors for dengue and leishmaniasis were evaluated by using an online semi-present course directed to teachers from Fundamental I Education level in Araçatuba-SP. 40 teachers from municipal schools located on geographical areas of town with higher occurrence of dengue and leishmaniasis cases, attended to the course, which consisted in a conceptual part directed to specific subjects such as vector borne and zoonotic diseases, responsible ownership of pets and health education and a practical phase, directed to execution and application of educative projects in the target schools. Data about the teacher’s specific knowledge, before and after the attendance to the course, were submitted to the Wilcoxon test with a 5% of significant level. The application of practical educative projects was evaluated by multiplicative actions involving target public. Tests showed statistically significant increase in the knowledge about the studied diseases (p<0.0001) after the course, especially on questions related to etiological agent, clinical symptoms on man and animals and prevention. Activities of knowledge multiplication envolved teachers and students which detected the problems and promoted education actions in their neighborhood as stage performing, group cleaning activities and elaboration and distribution of folders during a student pared. In conclusion, educative actions direct to the control of diseases vectors using a semi-present course, provides new knowledge to the teachers, impelling them to motivate their students to adopt vectors control measures and environmental cares and to sensitive the community to collaborate with control diseases.
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O Teorema de Poincaré-Bendixson é um resultado muito importante no estudo de Sistemas Dinâmicos, pois ele estabelece para quais tipos de conjunto limite as trajetórias de um campo de vetores em IR2 deve convergir. Neste trabalho vamos abordar a Funç˜ao do primeiro Retorno de Poincaré, além de discutir a estabilidade de Ciclos Limites e provar o Teorema de Poincaré-Bendixson.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The inefficiency of chemical pesticides to control phytopathogenic fungi in agriculture and the frequent incidence of human diseases caused by bacteria which are resistant to antibiotics lead to the search for alternative antimicrobial compounds. In this context, plant defensins are a promising tool for the control of both plant and human pathogenic agents. Plant defensins are cationic peptides of about 50 amino acid residues, rich in cysteine and whose tridimensional structure is considerably conserved among different plant species. These antimicrobial molecules represent an important innate component from plant defense response against pathogens and are expressed in various plant tissues, such as leaves, tubers, flowers, pods and seeds. The present work aimed at the evaluation of the antimicrobial activity of two plant defensins against different phytopathogenic fungi and pathogenic bacteria to humans. The defensin Drr230a, whose gene was isolated from pea (Pisum sativum), and the defensin CD1,whose gene was identified within coffee (Coffea arabica) transcriptome, were subcloned in yeast expression vector and expressed in Pichia pastoris. The gene cd1 was subcloned as two different recombinant forms: CD1tC, containing a six-histidine sequence (6xHis) at the peptide C-terminal region and CD1tN, containing 6xHis coding sequence at the N-terminal region. In the case of the defensin Drr230a, the 6xHis coding sequence was inserted only at the N-terminal region. Assays of the antimicrobial activity of the purified recombinant proteins rDrr230a and rCD1 against Phakopsora pachyrhizi, causal agent of soybean Asian rust, were performed to analyze the in vitro spore germination inhibition and disease severity caused by the fungus in planta. Both recombinant defensins were able to inhibit P. pachyrhizi uredospore germination, with no difference between the antimicrobial action of either CD1tC or CD1tN. Moreover, rDrr230a and rCD1 drastically reduced severity of soybean Asian rust, as demonstrated by in planta assays. In spite of the fact that rCD1 was not able to inhibit proliferation of the human pathogenic bacteria Staplylococcus aureus and Klebsiella pneumoniae, rCD1 was able to inhibit growth of the phytopathogenic fungus Fusarium tucumaniae, that causes soybean sudden death syndrome. The obtained results show that these plant defensins are useful candidates to be used in plant genetic engineering programs to control agriculture impacting fungal diseases.
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A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.
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A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.
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Dissertacao (Mestrado)
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La moléculture végétale est une approche prometteuse pour la production de protéines d’intérêt médical ou industriel. Considérant les variations de rendement possibles dans une plante soumise à différentes conditions culturales, nos objectifs étaient : (i) de cartographier l’accumulation d’un antigène viral d’intérêt clinique dans les feuilles du tabac sauvage Nicotiana benthamiana utilisé comme bio-usine, et (ii) d’évaluer l’impact de la lumière en période de croissance sur le rendement total en antigène. Nous avons étudié les relations entre l’âge foliaire, le régime lumineux, l’expression du transgène et le rendement final en antigène dans les feuilles. Nos données confirment l’influence de l’âge sur les variations de rendement d’une feuille à l’autre, et l’impact positif de l’intensité lumineuse sur le rendement par plante. Elles mettent aussi en relief l’importance des tiges secondaires sur le rendement et le rôle clé de la transcription du transgène sur la teneur en antigène à l’échelle cellulaire.
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En esta Tesis Doctoral, cuatro proteínas que están sobre-expresadas en las fases infectivas del ciclo celular de L. infantum (STPKA, STPK, PP2B and PABP3) fueron purificadas para inmunizar ratones BALB/c, con el interés de estudiar su posible capacidad protectora contra la VL. Tres de ellas indujeron una fuerte respuesta humoral en los ratones, rLiSTPKA, rLiSTPK y rLiPABP3, a diferencia de la proteína rLiPP2B. Además, la rLiPABP3 fue la única que indujo una disminución significativa de la carga parasitara tanto en bazo como en hígado 2 meses después de la infección experimental con el parásito. Con el objetivo de determinar los efectos que la inmunización con rLiPABP3 tenía sobre el sistema inmune murino, se determinó la expresión génica de 106 genes relacionados con el sistema inmune en ratones control, inmunizados e infectados. Los niveles de expresión génica fueron comparados con los obtenidos para los grupos control. Los resultados mostraron que durante todo el experimento la proteína rLiPABP3 promueve la inhibición de la respuesta inmune inflamatoria en el bazo de los ratones infectados. Además, no se observa una respuesta adaptiva claramente polarizada hacia un tipo concreto. Un mes después de la infeccion, en los animales previamente inmunizados se observa la sobre-expresion de Il2rb lo que nos hace pensar que rLiPABP3 podría estimular la presencia de linfocitos T memoria. En fases más avanzadas de la infección, a pesar de que no observamos una clara diferenciación de una población concreta de linfocitos T efectores, sí observamos la infra-expresión del gen codificante del TNF-alfa, lo que unido a la sobre-expresión del gen Cxcr4 y la ausencia de cambios de la expresión del gen Ccr7 nos hace pensar que la inmunización no sólo mantiene la micro-arquitectura del bazo, sino que también promueve la correcta migración de las DCs desde la MZ hasta el PALS.
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As doenças transmitidas por vetores representam uma ameaça global de carácter emergente ou re-emergente em várias regiões do mundo. Existem diversos vetores, tais como flebótomos, ixodídeos, entre outros, que serão abordados em eixo próprio, visto que a presente Estratégia assenta na prevenção e controlo das doenças transmitidas por mosquitos. Nestes termos, a Estratégia para o Plano de Prevenção e Controlo de Doenças Transmitidas por Vetores, ora apresentada, define os eixos de intervenção relativos às capacidades e mecanismos de preparação e respostas para garantir a prevenção e controlo para estas doenças. Incluem o conjunto de mecanismos que garantem a vigilância entomológica e, em especial, a deteção precoce das populações de mosquitos invasores. Centra-se, também, na deteção precoce de doenças transmitidas por mosquitos e na coordenação de resposta intersetorial necessária à operacionalização das medidas consideradas oportunas.
Caracterização morfológica e molecular de isolados virais obtidos de larvas do complexo Heliothinae.
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2016
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Dengue, amongst the virus illnesses one can get by vectorial transmission, is the one that causes more impact in the morbidity and mortality of world s population. The resistance to the insecticides has caused difficulties to control of vector insect (Aedes aegypti) and has stimulated a search for vegetables with larvicidal activity. The biodiversity of Caatinga is barely known and it is potential of use even less. Some plants of this biome are commercialized in free fairs northeast of Brazil, because of its phytotherapics properties. The vegetables in this study had been selected by means of a questionnaire applied between grass salesmen and natives of the Serido region from Rio Grande do Norte state; culicids eggs had been acquired with traps and placed in container with water for the larva birth. Thirty larvae had been used in each group (a group control and five experimental groups), with four repetitions four times. The vegetables had been submitted to the processes of decoction, infusion and maceration in the standard concentration of 100g of the vegetable of study in 1l of H2O and analyzed after ½, 1, 2, 4, 8, 12, 24 and 48 hours for verification of the average lethal dose (LD50) from the groups with thirty larva. The LD50 was analyzed in different concentrations (50g/l, 100g/l, 150g/l, 200g/l e 300g/l) of Aspidosperma pyrifolium Mart. 48 extracts of rind, leaf and stem of the seven vegetal species: Aspidosperma pyrifolium Mart., Mimosa verrucosa Benth, Mimosa hostilis (Mart.) Benth., Myracrodruon urundeuva Allemão, Ximenia americana L, Bumelia sartorum Mart Zizyphus joazeiro Mart, had been analyzed. The extracts proceeding from the three methods were submitted to the freezedrying, to evaluate and to quantify substances extracted in each process. The results had shown that Aspidosperma pyrifolium Mart. and Myracrodruon urundeuva Allemão are the species that are more distinguished as larvicidal after 24 hours of experiment, in all used processes of extraction in the assays. The Zizyphus joazeiro Mart species has not shown larvicidal activity in none of the assays. In relation to the extraction method, the decoction was the most efficient method in the mortality tax of the A. aegypti larvae