Tuberculose e Tomografia de Coerência Óptica: Uma revisão sistemática das manifestações oculares / Tuberculosis and Optical Coherence Tomography: A systematic review of eye manifestations

A tuberculose é uma doença causada pelo bacilo aeróbico Mycobacterium tuberculosis, cujo órgão mais atingido é o pulmão (80% dos casos), mas que pode apresentar quadro clínico extrapulmonar em 20% dos pacientes, incluindo-se as manifestações clínicas oculares, em que a disseminação hematogênica é a principal via pela qual o aparelho ocular é infectado. Além disso, devido o diagnóstico de tuberculose ocular ser difícil apenas pelo quadro clínico e o fato de outros exames complementares não mostrarem grandes alterações, a tomografia de coerência óptica pode fornecer dados importantes sobre a região específica da estrutura ocular acometida. Assim, considerando a importância do tema, o objetivo desta dissertação científica visa analisar os achados à tomografia de coerência óptica correspondentes a apresentação ocular da tuberculose. Foi realizada uma pesquisa bibliográfica mediante as bases de dados MEDLINE, LILCAS, IBECS e PUBMED, na qual foram analisados 15 artigos. Os estudos denotam que é necessário haver um alto nível de suspeição em casos com quadro clínico redicivante ou com presença de fator de risco para tuberculose. Outrossim, esses pacientes merecem uma abordagem multidisciplinar

Potential biomarkers for the clinical prognosis of severe dengue

Submitted by Kamylla Nascimento ([email protected]) on 2017-12-12T12:19:02Z No. of bitstreams: 1 art. Potential biomarkers - silva.pdf: 490671 bytes, checksum: a2f8dc14474b0b5a323d5f7228580167 (MD5)Approved for entry into archive by Kamylla Nascimento ([email protected]) on 2017-12-12T12:41:16Z (GMT) No. of bitstreams: 1 art. Potential biomarkers - silva.pdf: 490671 bytes, checksum: a2f8dc14474b0b5a323d5f7228580167 (MD5)Made available in DSpace on 2017-12-12T12:41:16Z (GMT). No. of bitstreams: 1 art. Potential biomarkers - silva.pdf: 490671 bytes, checksum: a2f8dc14474b0b5a323d5f7228580167 (MD5) Previous issue date: 2013Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Departamento de Virologia. Laboratório de Virologia e Terapia Experimental. Recife, PE, Brasil.Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Departamento de Virologia. Laboratório de Virologia e Terapia Experimental. Recife, PE, Brasil.Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Departamento de Virologia. Laboratório de Virologia e Terapia Experimental. Recife, PE, Brasil / University of Pittsburgh. Center for Vaccine Research. Department of Infectious Diseases and Microbiology. Pittsburgh, PA, USA.Fundação Oswaldo Cruz. Instituto René Rachou. Departamento de Imunologia. Laboratório de Imunologia Celular e Molecular. Belo Horizonte, MG, Brasil.Currently, several assays can confirm acute dengue infection at the point-of-care. However, none of these assays can predict the severity of the disease symptoms. A prognosis test that predicts the likelihood of a dengue patient to develop a severe form of the disease could permit more efficient patient triage and treatment. We hypothesise that mRNA expression of apoptosis and innate immune response-related genes will be differentially regulated during the early stages of dengue and might predict the clinical outcome. Aiming to identify biomarkers for dengue prognosis, we extracted mRNA from the peripheral blood mononuclear cells of mild and severe dengue patients during the febrile stage of the disease to measure the expression levels of selected genes by quantitative polymerase chain reaction. The selected candidate biomarkers were previously identified by our group as differentially expressed in microarray studies. We verified that the mRNA coding for CFD, MAGED1, PSMB9, PRDX4 and FCGR3B were differentially expressed between patients who developed clinical symptoms associated with the mild type of dengue and patients who showed clinical symptoms associated with severe dengue. We suggest that this gene expression panel could putatively serve as biomarkers for the clinical prognosis of dengue haemorrhagic fever

Potential biomarkers for the clinical prognosis of severe dengue

Currently, several assays can confirm acute dengue infection at the point-of-care. However, none of these assays can predict the severity of the disease symptoms. A prognosis test that predicts the likelihood of a dengue patient to develop a severe form of the disease could permit more efficient patient triage and treatment. We hypothesise that mRNA expression of apoptosis and innate immune response-related genes will be differentially regulated during the early stages of dengue and might predict the clinical outcome. Aiming to identify biomarkers for dengue prognosis, we extracted mRNA from the peripheral blood mononuclear cells of mild and severe dengue patients during the febrile stage of the disease to measure the expression levels of selected genes by quantitative polymerase chain reaction. The selected candidate biomarkers were previously identified by our group as differentially expressed in microarray studies. We verified that the mRNA coding for CFD, MAGED1, PSMB9, PRDX4 and FCGR3B were differentially expressed between patients who developed clinical symptoms associated with the mild type of dengue and patients who showed clinical symptoms associated with severe dengue. We suggest that this gene expression panel could putatively serve as biomarkers for the clinical prognosis of dengue haemorrhagic fever

Bradykinin enhances Sindbis virus infection in human brain microvascular endothelial cells

Submitted by Nuzia Santos ([email protected]) on 2014-12-04T15:11:49Z No. of bitstreams: 1 Bradykinin enhances Sindbis virus infection in human brain microvascular endothelial cells.pdf: 1158448 bytes, checksum: 5c208b59273623f263acf5a38adfebf2 (MD5)Approved for entry into archive by Nuzia Santos ([email protected]) on 2014-12-04T15:16:21Z (GMT) No. of bitstreams: 1 Bradykinin enhances Sindbis virus infection in human brain microvascular endothelial cells.pdf: 1158448 bytes, checksum: 5c208b59273623f263acf5a38adfebf2 (MD5)Made available in DSpace on 2014-12-04T15:16:21Z (GMT). No. of bitstreams: 1 Bradykinin enhances Sindbis virus infection in human brain microvascular endothelial cells.pdf: 1158448 bytes, checksum: 5c208b59273623f263acf5a38adfebf2 (MD5) Previous issue date: 2011Universidade Federal do Rio de Janeiro. Instituto de Microbiologia Prof. Paulo de Góes. Departamento de Virologia. Rio de Janeiro, RJ. BrasilUniversidade Federal do Rio de Janeiro. Instituto de Microbiologia Prof. Paulo de Góes. Departamento de Virologia. Rio de Janeiro, RJ. BrasilUniversidade Federal do Rio de Janeiro. Instituto de Biofísica Carlos Chagas Filho. Rio de Janeiro, RJ. BrasilFundação Oswaldo Cruz. Centro de Pesquisas Aggeu Magalhães. Laboratório de Virologia e Terapia Experimental. Recife, PE, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Imunologia Celular e Molecular. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas Aggeu Magalhães. Laboratório de Virologia e Terapia Experimental. Recife, PE, BrasilUniversidade Federal do Rio de Janeiro. Instituto de Microbiologia Prof. Paulo de Góes. Departamento de Imunologia Rio de Janeiro, RJ, BrasilUniversidade Federal do Rio de Janeiro. Instituto de Biofísica Carlos Chagas Filho. Rio de Janeiro, RJ. BrasilUniversidade Federal do Rio de Janeiro. Instituto de Microbiologia Prof. Paulo de Góes. Departamento de Virologia. Rio de Janeiro, RJ. BrasilSindbis virus (SINV) induces inflammatory and vasoactive responses that are associated with rash and arthritis in human infections. The mechanisms underlying infection-associated microvasculopathy are still unknown. We investigated whether endothelial cells infected by SINV are differentially responsive to bradykinin (BK), a potent inducer of inflammatory edema in a broad range of infectious diseases. Human endothelial cells (HBMECs) infected with SINV presented an upregulation of bradykinin B2 receptors (BK2R) expression. Also, BK reduced SINV-induced apoptosis and enhanced virus replication in HBMECs in a way dependent on BK2R, PI3 kinase and ERK signaling. Strikingly, intracerebral infection of mice in the presence of a BK2R antagonist reduced the local viral load. Our data suggest that SINV infection renders human endothelial cells hypersensitive to BK, which increases host cell survival and viral replication. Ongoing studies may clarify if the deregulation of the kinin pathway contributes to infection-associated vasculopathies in life-threatening arbovirus infection

Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data

In soybean, there is a lack of research aiming to compare the performance of machine learning (ML) and deep learning (DL) methods to predict more than one agronomic variable, such as days to maturity (DM), plant height (PH), and grain yield (GY). As these variables are important to developing an overall precision farming model, we propose a machine learning approach to predict DM, PH, and GY for soybean cultivars based on multispectral bands. The field experiment considered 524 genotypes of soybeans in the 2017/2018 and 2018/2019 growing seasons and a multitemporal–multispectral dataset collected by embedded sensor in an unmanned aerial vehicle (UAV). We proposed a multilayer deep learning regression network, trained during 2000 epochs using an adaptive subgradient method, a random Gaussian initialization, and a 50% dropout in the first hidden layer for regularization. Three different scenarios, including only spectral bands, only vegetation indices, and spectral bands plus vegetation indices, were adopted to infer each variable (PH, DM, and GY). The DL model performance was compared against shallow learning methods such as random forest (RF), support vector machine (SVM), and linear regression (LR). The results indicate that our approach has the potential to predict soybean-related variables using multispectral bands only. Both DL and RF models presented a strong (r surpassing 0.77) prediction capacity for the PH variable, regardless of the adopted input variables group. Our results demonstrated that the DL model (r = 0.66) was superior to predict DM when the input variable was the spectral bands. For GY, all machine learning models evaluated presented similar performance (r ranging from 0.42 to 0.44) for each tested scenario. In conclusion, this study demonstrated an efficient approach to a computational solution capable of predicting multiple important soybean crop variables based on remote sensing data. Future research could benefit from the information presented here and be implemented in subsequent processes related to soybean cultivars or other types of agronomic crops

Resumos em andamento - Ciências Biológicas

Resumos em andamento - Ciências Biológica

Viral immunogenicity determines epidemiological fitness in a cohort of DENV-1 infection in Brazil

<div><p>The dynamics of dengue virus (DENV) circulation depends on serotype, genotype and lineage replacement and turnover. In São José do Rio Preto, Brazil, we observed that the L6 lineage of DENV-1 (genotype V) remained the dominant circulating lineage even after the introduction of the L1 lineage. We investigated viral fitness and immunogenicity of the L1 and L6 lineages and which factors interfered with the dynamics of DENV epidemics. The results showed a more efficient replicative fitness of L1 over L6 in mosquitoes and in human and non-human primate cell lines. Infections by the L6 lineage were associated with reduced antigenicity, weak B and T cell stimulation and weak host immune system interactions, which were associated with higher viremia. Our data, therefore, demonstrate that reduced viral immunogenicity and consequent greater viremia determined the increased epidemiological fitness of DENV-1 L6 lineage in São José do Rio Preto.</p></div