Effect of photodynamic therapy on the virulence factors of Staphylococcus aureus

Staphylococcus aureus are Gram-positive bacteria who integrate the human microbiota. Nevertheless, these bacteria can be pathogenic to the humans. Due to the increasing occurrence of antibiotic-resistant S. aureus new approaches to control this pathogen are necessary. The antimicrobial photodynamic inactivation process (PDI) is based in the combined use of a light source, an oxidizing agent like oxygen and an intermediary agent (a photosensitizer). These three components interact to form cytotoxic reactive oxygen species that irreversibly damage vital constituents of the microbial cells and ultimately lead to cell death. In fact, PDI is being shown to be a promising alternative to the antibiotic approach in the inactivation of pathogenic microorganisms. However, information on effects of photosensitization on particular virulence factors is strikingly scarce. The objective of this work was to evaluate the effect of PDI on virulence factors of S. aureus. For this, as photosensitizer the 5,10,15,20-tetrakis(1-methylpyridinium-4-yl)porphyrin tetra-iodide (Tetra-Py+-Me) and six strains of S. aureus (one reference strain, one strain with 1 enterotoxin, two strains with 3 enterotoxins and two strains resistant to methicillin, MRSA – one with 5 enterotoxins and the other without enterotoxins) were used. The effect of photosensitization on catalase activity, beta hemolysis, lipases, thermonuclease, enterotoxins, coagulase production and resistance to methicillin was assessed. The results indicate that the expression of some virulence factors in the cells subjected to this therapy is affected. Additionally the susceptibility of the strains to PDI did not decrease upon successive treatments.

Genetic and bacterial programming for B-Spline neural networks design

The design phase of B-spline neural networks is a highly computationally complex task. Existent heuristics have been found to be highly dependent on the initial conditions employed. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this paper, the Bacterial Programming approach is presented, which is based on the replication of the microbial evolution phenomenon. This technique produces an efficient topology search, obtaining additionally more consistent solutions.

Design of B-spline neural networks using a bacterial programming approach

The design phase of B-spline neural networks represents a very high computational task. For this purpose, heuristics have been developed, but have been shown to be dependent on the initial conditions employed. In this paper a new technique, Bacterial Programming, is proposed, whose principles are based on the replication of the microbial evolution phenomenon. The performance of this approach is illustrated and compared with existing alternatives.

Uma abordagem de matabolómica no estudo comparativo do metabolismo de glucose e galactose no patogénico humano Streptococcus pneumoniae

Dissertação mest., Ciências Biomédicas, Universidade do Algarve, 2010

A biotecnologia no ensino das ciências do 3º ciclo: desenvolvimento de experiências didácticas utilizando a acção de biocatalisadores imobilizados

Dissertação mest., Biologia e Geologia, Universidade do Algarve, 2007

Variabilidade genómica de Citrus tristeza virus e transformação genética de Citrus aurantium L. com vista à obtenção de resistência

Tese de dout., Biologia, Faculdade de Engenharia de Recursos Naturais, Univ. do Algarve, 2003

Abordagem farmacológica da lesão pulmonar induzida por isquémia - reperfusão

Dissertação de mest., Ciências Farmacêuticas, Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2010

Avaliação do potencial da Salicornia ramosissima para saladas frescas ou em pó (sal verde)

Dissertação de mest., Tecnologia dos Alimentos , Instituto Superior de Engenharia, Univ. do Algarve, 2013

Tóxicos veiculados por alimentos - diapositivos de apoio às aulas

Caracterização dos acidentes de intoxicação alimentar provocados por constituintes naturais dos alimentos e por ingestão de alimentos contaminados: - Toxinas de origem natural: produzidas por vegetais; produzidas por cogumelos; micotoxinas; substâncias tóxicas produzidas por animais; ficotoxinas; aminas biogénicas; toxinas de origem bacteriana;bactérias, vírus e parasitas patogénicos veiculados por alimentos. - Metais pesados. - Fitofármacos e medicamentos de uso veterinário; - Substâncias que resultam de processos de fabrico, conservação ou preparação dos alimentos.

Design of neuro-fuzzy models by evolutionary and gradient-based algorithms

All systems found in nature exhibit, with different degrees, a nonlinear behavior. To emulate this behavior, classical systems identification techniques use, typically, linear models, for mathematical simplicity. Models inspired by biological principles (artificial neural networks) and linguistically motivated (fuzzy systems), due to their universal approximation property, are becoming alternatives to classical mathematical models. In systems identification, the design of this type of models is an iterative process, requiring, among other steps, the need to identify the model structure, as well as the estimation of the model parameters. This thesis addresses the applicability of gradient-basis algorithms for the parameter estimation phase, and the use of evolutionary algorithms for model structure selection, for the design of neuro-fuzzy systems, i.e., models that offer the transparency property found in fuzzy systems, but use, for their design, algorithms introduced in the context of neural networks. A new methodology, based on the minimization of the integral of the error, and exploiting the parameter separability property typically found in neuro-fuzzy systems, is proposed for parameter estimation. A recent evolutionary technique (bacterial algorithms), based on the natural phenomenon of microbial evolution, is combined with genetic programming, and the resulting algorithm, bacterial programming, advocated for structure determination. Different versions of this evolutionary technique are combined with gradient-based algorithms, solving problems found in fuzzy and neuro-fuzzy design, namely incorporation of a-priori knowledge, gradient algorithms initialization and model complexity reduction.

Molecular characterization of Gla-rich protein (GRP) gene expression and function

Gla-rich protein (GRP) is a vitamin K-dependent protein related to bone and cartilage recently described. This protein is characterized by a large number of Gla (γ-carboxyglutamic acid) residues being the protein with the highest Gla content of any known protein. It was found in a widely variety of tissues but highest levels was found in skeletal and cartilaginous tissues. This small secreted protein was also expressed and accumulated in soft tissues and it was clearly associated with calcification pathologies in the same tissues. Although the biological importance of GRP remains to be elucidated, it was suggested a physiological role in cartilage development and calcification process during vertebrate skeleton formation. Using zebrafish, an accepted model to study skeletal development, we have described two grp paralog genes, grp1 and grp2, which exhibited distinct patterns of expression, suggesting different regulatory pathways for each gene. Gene synteny analysis showed that grp2 gene is more closely related to tetrapod grp, although grp1 gene was proposed to be the vertebrate ortholog by sequence comparison. In addition, we identified a functional promoter of grp2 gene and using a functional approach we confirmed the involvement of transcription factors from Sox family (Sox9b and Sox10) in the regulation of grp2 expression. In an effort to provide more information about the function of grp isoforms, we generated two zebrafish transgenic lines capable to overexpress conditionally grp genes and possible roles in the skeleton development were studied. To better understand GRP function a mammalian system was used and the analysis of knockout mice showed that GRP is involved in chondrocyte maturation and the absence of GRP is associated to proteoglycans loss in calcified articular cartilage. In addition, we detected differences in chondrogenesis markers in articular chondrocyte primary culture. Overall, our data suggest a main role for GRP on chondrocyte differentiation.

Cloning of the Bone Gla Protein gene from the teleost fish Sparus aurata (gilthead seabream). Molecular organization, developmental appearance and evolutionary implications

Tese de Doutoramento, Biologia Molecular, Faculdade de Ciências do Mar e do Ambiente, Universidade do Algarve, 2001

Cancro colorretal e inflamação - vias celulares e alvos farmacológicos

Dissertação de mestrado, Ciências Farmacêuticas, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Anticoagulantes orais: velho versus novo

Dissertação de mestrado, Ciências Farmacêuticas, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Effects of vitamin K deficiency and its mechanisms in vertebrate's early development: zebrafish as a model

Disertação de mestrado, Ciências Biomédicas, Departamento de Ciências Biomédicas e Medicina, Universidade do Algarve, 2015