Identificação de potenciais biomarcadores do lúpus eritematoso sistêmico através de abordagem proteômica

Exportado OPUSMade available in DSpace on 2019-08-14T11:13:55Z (GMT). No. of bitstreams: 1 disserta__o_tamara_aparecida_reis_ferreira_2015.pdf: 3062464 bytes, checksum: 2b0100c5d1359f0d15bc285c1846685d (MD5) Previous issue date: 25Lúpus Eritematoso Sistêmico (LES) é uma doença autoimune do tecido conjuntivo com largo espectro de manifestações clínicas. A desregulação imune leva ao excesso de produção de auto-anticorpos e complexos imunes, ativação do complemento e inflamação tecidual persistente. Considerando que o diagnóstico atual depende da interpretação de complexos critérios estabelecidos pelo American College of Reumatology, que o curso da doença é caracterizado por ativações e remissões imprevisíveis e que cada paciente desenvolve diferentes manifestações, o desenvolvimento de biomarcadores específicos torna-se urgentemente necessário. Nesse contexto, o presente trabalho objetivou identificar candidatos a biomarcadores do LES ativo e LES inativo potencialmente capazes de distinguir laboratorialmente LES de outras doenças autoimunes. Empregou-se, de forma inédita, a técnica proteômica 2D-DIGE para avaliar a abundância diferencial de proteínas entre pacientes com LES ativo, LES inativo, portadores de outras doenças autoimunes e indivíduos saudáveis. Foram identificadas 103 proteínas diferencialmente abundantes. Dessas, 40 com abundância aumentada no LES ativo em relação aos demais grupos e 6 com abundância aumentada no LES ativo e no LES inativo em relação aos demais. Outras proteínas apresentaram aumento de abundância no LES em relação ao controle, mas não em relação a outras doenças autoimunes, o que requer maior rigor nas etapas de validação. Foram selecionadas como promissoras as proteínas alpha-1-acid glycoprotein 1 / Orosomucoid 1, Zn-alpha2-glycoprotein, AMBP preproprotein, alpha-1-acid glycoprotein, apolipoprotein A-IV precursor, immunoglobulin kappa light chain, alpha-2-macroglobulin, chain A, Structure Of Prealbumin e immunoglobulin alpha-2 chain - fragment (Ig2), corroborando dados da literatura. Por outro lado, foram propostas, pela primeira vez, como potenciais biomarcadores do LES, as proteínas: retinol-binding protein 4 isoform X1 e SP-40,40 partial. Vale destacar que este trabalho é um estudo preliminar e mais estudos complementares são recomendados para a confirmação e validação dos resultados.Systemic Lupus Erythematous (SLE) is an autoimmune disease of connective tissue with large spectrum of clinical manifestations. The immune deregulation leads to autoantibody and immune complexes overproduction, complement activation and persistent tissue inflammation as well. Considering that the current diagnosis depends on the interpretation of complex criteria established by the American College of Rheumatology, and that the disease course is characterized by unpredictable activations and remissions, and that each patient develops different manifestations, the discovery of specific biomarkers becomes urgently necessary. In this context, this study aimed to identify putative biomarkers for active and inactive SLE potentially capable to distinguishing laboratorial SLE from other autoimmune diseases. The 2D-DIGE proteomics technique was used in an unprecedented way, to evaluate the differential abundance of proteins between patients with active SLE, inactive SLE, patients with other autoimmune disease and healthy individuals. One hundred and three differentially abundant proteins were identified. From this amount, 40 with increased abundance in active SLE compared to the other groups, and 6 with increased abundance in active and inactive SLE in relation to the other ones. Other proteins showed increased abundance in SLE compared to the control group, but not in relation to other autoimmune diseases, which demand greater rigor in the validation steps. The following proteins: 1-acid glycoprotein 1 / Orosomucoid 1, Znalpha2-glycoprotein, AMBP preproprotein, alpha-1-acid glycoprotein, apolipoprotein A-IV precursor, immunoglobulin kappa light chain, alpha-2-macroglobulin, chain A, Structure Of Prealbumin e immunoglobulin alpha-2 chain - fragment (Ig2) were selected as promising biomarkers, corroborating data in the literature. On the other hand, proteins like retinol-binding protein 4 isoform X1 e SP-40,40 partial have been proposed for the first time, as potential biomarkers for SLE. It must be stressed that this work is a preliminary study. It is recommended that additional studies must be done to confirm and validate these data

Análise espacial das ocorrências de desmatamento na região norte de Minas Gerais

Deforestations, following by landscape fragmentation have been the main agent of natural ecosystems destruction worldwide. Landscape fragmentation can be understood as the process of transforming an area of continuous natural vegetation into smaller areas isolated from each other by environments different of the original. The objective of this study was to analyze the spatial structure of the deforestation polygons inserted into a landscape matrix of native Cerrado vegetation in the northern state of Minas Gerais, Brazil. In order to evaluate the effect of deforestation on the landscape structure we used metrics or landscape ecology indices. The landscape ecology indices were calculated using a free ArcGis 9.3 software extension called V-Late (Vector-based Landscape Analysis). The results showed the occurrence of 30 deforestation polygons that together represent an area of 670.86 ha. The largest deforestation polygon had an area of 428.58 ha which accounts for over 60% of the total area deforested. In environments where the landscape matrix is the native vegetation, the greater the edge area of the deforestation polygons, the greater the impact on the natural ecosystem. On the other hand, the smaller the edge area and the greater the distance between neighboring deforestation polygons, the lower will be the impact of deforestation on the natural ecosystem.Pages: 7016-702

Identification of potential biomarkers for systemic lupus erythematosus diagnosis using two-dimensional differential gel electrophoresis (2D-DIGE) and mass spectrometry

<p>Systemic lupus erythematosus (SLE) is an autoimmune disease of the connective tissue with a large spectrum of clinical manifestations. Immune deregulation leads to autoantibody and immune complexes overproduction, complement activation, and persistent tissue inflammation. Considering that the current diagnosis depends on the interpretation of the complex criteria established by the American College of Rheumatology and that the disease course is characterized by unpredictable activations and remissions, each patient develops different manifestations, and therefore, the discovery of specific biomarkers is urgently required. Therefore, this study aimed to identify putative biomarkers for active and inactive SLE potentially capable in distinguishing laboratorial SLE from other autoimmune diseases. The 2D-DIGE proteomics technique was used to evaluate the differential abundance of proteins between patients with active SLE, inactive SLE, patients with other autoimmune disease, and healthy individuals. Six proteins showed increased abundance in active SLE (A) and inactive SLE (I) compared to the C and O groups, but not between groups A and I. There were two transthyretin (TTR) fragments or proteins with a structure similar to TTR (accession numbers: PDB: 1GKO_A and 2PAB_A), retinol-binding protein 4 (RBP4) isoform X1 (no information in databases such as UNIPROT), and antibody fragments. Two proteins, APO-AIV and SP-40,40, were upregulated in group A than in O and C and in group I versus C, but not in group I versus O. Therefore, we suggest these proteins to be considered as candidates for the diagnosis of SLE.</p

ATLANTIC ANTS: a data set of ants in Atlantic Forests of South America

International audienc

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora