8 resultados para fluorescence energy transfer
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RESUMO:As terapias biológicas revolucionaram o tratamento das doenças autoimunes nos últimos anos. Tipicamente têm como alvos mediadores importantes no mecanismo das doenças. Os antagonistas do fator de necrose tumoral-α (TNF-α) são um grupo de agentes biológicos muito prescrito, pois estão indicados no tratamento de doenças imuno-mediadas comuns, tais como artrite reumatoide, artrite idiopática juvenil, artrite psoriática, espondilite anquilosante, doença de Crohn e colite ulcerosa. Com o uso frequente de inibidores do TNF-α, tem-se tornado evidente que estes agentes têm um potencial imunogénico importante, que pode comprometer o prognóstico a longo prazo dos doentes cronicamente tratados. A produção de anticorpos anti-fármaco parece causar falência terapêutica secundária em muitos doentes. Um dos efeitos dos anticorpos anti-fármaco é o aumento da eliminação do fármaco. A eliminação do fármaco, por sua vez, varia entre indivíduos, refletindo diferentes perfis farmacocinéticos. A determinação dos níveis séricos mínimos do agente anti-TNF-α é assim muito informativa e pode auxiliar nas decisões terapêuticas. Contudo, os testes imunológicos para determinar as concentrações séricas do fármaco não estão facilmente disponíveis na prática clínica. De forma a investigar uma nova técnica potencialmente fidedigna e prática para a deteção e quantificação dos agentes biológicos anti-TNF-α, foi testada a técnica por HTRF (homogeneous time-resolved fluorescence resonance energy transfer) para a determinação de concentrações séricas de infliximab. Apesar de apresentar algumas limitações relacionadas com as condições de leitura da fluorescência, esta técnica provou obter resultados próximos das concentrações obtidas por ELISA (enzyme-linked immunosorbent assay) bridging. Adicionalmente, tem a vantagem de ser de execução muito mais fácil e rápida. Deste modo, a técnica por HTRF poderá ser otimizada e tornar-se uma valiosa ferramenta laboratorial para orientar as decisões terapêuticas em doentes autoimunes com falência da terapêutica anti-TNF-α.--------- ABSTRACT: Biologic therapies revolutionized the treatment of autoimmune diseases in the last years. Typically, they target important disease mediators. Tumor necrosis factor-alpha (TNF-α) antagonists constitute a very prescribed group of biologic agents as they are indicated for the treatment of common immune-mediated diseases, such as rheumatoid arthritis, juvenile idiopathic arthritis, psoriatic arthritis, ankylosing spondylitis, Crohn’s disease and ulcerative colitis. With the increasing use of TNF-α inhibitors it has been noticed that they have an important immunogenic potential that can compromise long-term outcomes in chronically treated patients. The production of anti-drug antibodies seems to cause secondary therapeutic failure in many patients. One of the effects of anti-drug antibodies is the enhancement of drug clearance. Drug clearance, in turn, varies among individuals, reflecting different pharmacokinetic profiles. Determination of serum anti-TNF-α drug trough levels is though very informative and could support treatment decisions. However, immunologic assays to determine drug serum concentrations are not readily available in clinical practice. In order to investigate a potentially reliable and practical new technique for detection and quantification of anti-TNF-α biologic agents, homogeneous time-resolved fluorescence resonance energy transfer (HTRF) technique was tested for determination of serum infliximab concentrations. Although presenting some limitations related with fluorescence reading conditions, this technique proved to give results close to the concentrations obtained by the widely used bridging enzyme-linked immunosorbent assay (ELISA). In addition, it has the advantage of being much easier and faster to perform. Thus, HTRF technique can be optimized and become a valuable laboratorial tool to guide treatment decisions in autoimmune patients with anti-TNF-α therapy failure.
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Thesis presented in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the subject of Electrical and Computer Engineering by the Universidade Nova de Lisboa,Faculdade de Ciências e Tecnologia
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X-Ray Spectrom. 2003; 32: 396–401
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Dissertação para obtenção do Grau de Doutor em Engenharia Física
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Dissertação para obtenção do Grau de Doutor em Bioquímica, ramo de Biotecnologia
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Dissertation to obtain the Doctoral degree in Physics Engineering
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Energy conservation in chemotrophic anaerobic bacteria is achieved by two possible processes, substrate level phosphorylation (SLP) and electron transfer phosphorylation (ETP). This second mechanism, also known as respiration, involves chemiosmotic coupling. However, a third mechanism for energy coupling was recently proposed: the flavin-based electron bifurcation (FBEB). (...)
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A potentially renewable and sustainable source of energy is the chemical energy associated with solvation of salts. Mixing of two aqueous streams with different saline concentrations is spontaneous and releases energy. The global theoretically obtainable power from salinity gradient energy due to World’s rivers discharge into the oceans has been estimated to be within the range of 1.4-2.6 TW. Reverse electrodialysis (RED) is one of the emerging, membrane-based, technologies for harvesting the salinity gradient energy. A common RED stack is composed by alternately-arranged cation- and anion-exchange membranes, stacked between two electrodes. The compartments between the membranes are alternately fed with concentrated (e.g., sea water) and dilute (e.g., river water) saline solutions. Migration of the respective counter-ions through the membranes leads to ionic current between the electrodes, where an appropriate redox pair converts the chemical salinity gradient energy into electrical energy. Given the importance of the need for new sources of energy for power generation, the present study aims at better understanding and solving current challenges, associated with the RED stack design, fluid dynamics, ionic mass transfer and long-term RED stack performance with natural saline solutions as feedwaters. Chronopotentiometry was used to determinate diffusion boundary layer (DBL) thickness from diffusion relaxation data and the flow entrance effects on mass transfer were found to avail a power generation increase in RED stacks. Increasing the linear flow velocity also leads to a decrease of DBL thickness but on the cost of a higher pressure drop. Pressure drop inside RED stacks was successfully simulated by the developed mathematical model, in which contribution of several pressure drops, that until now have not been considered, was included. The effect of each pressure drop on the RED stack performance was identified and rationalized and guidelines for planning and/or optimization of RED stacks were derived. The design of new profiled membranes, with a chevron corrugation structure, was proposed using computational fluid dynamics (CFD) modeling. The performance of the suggested corrugation geometry was compared with the already existing ones, as well as with the use of conductive and non-conductive spacers. According to the estimations, use of chevron structures grants the highest net power density values, at the best compromise between the mass transfer coefficient and the pressure drop values. Finally, long-term experiments with natural waters were performed, during which fouling was experienced. For the first time, 2D fluorescence spectroscopy was used to monitor RED stack performance, with a dedicated focus on following fouling on ion-exchange membrane surfaces. To extract relevant information from fluorescence spectra, parallel factor analysis (PARAFAC) was performed. Moreover, the information obtained was then used to predict net power density, stack electric resistance and pressure drop by multivariate statistical models based on projection to latent structures (PLS) modeling. The use in such models of 2D fluorescence data, containing hidden, but extractable by PARAFAC, information about fouling on membrane surfaces, considerably improved the models fitting to the experimental data.