Mil cenários: Deleuze e a (in)atualidade da filososfia

Evidentemente, como todas, a filosofia de Deleuze será sempre menos do que exigimos ou esperamos dela, mas também muito mais do que lhe concedemos ou dizemos da mesma. No que tem de vivo, de vital, a obra de Deleuze não deixa de provocar fugas em todos os comentários que perseguem sua totalização à conta de uma imagem, de uma doutrina ou de uma data. Não há «um» Deleuze, radicalizado à força de privilegiar o que tem de irredutível com relação aos diferentes horizontes de leitura. Mas também não existem «dois» Deleuze, desdobrados segundo uma dialética de apropriação que requereria, para a salvação de um punhado de princípios, o anátema de parte de sua filosofia. Digamos, antes, que há «pluralidade» de conceitos, de perspectivas e de textos, que associamos ao nome de Deleuze, mas sempre de um modo local, estratégico, essencialmente aberto. Na sua determinação propriamente deleuziana, a história da filosofia não tem por objeto restaurar o sentido profundo do que os autores teriam dito para nós, mas apenas extrair um duplo. E, com os duplos, já se sabe como é: nunca estamos seguros de quem é quem. Os desiguais textos que compõem o presente livro não pretendem desmascarar impostores, mas multiplicar os espelhos.

Mapeando fundamentos do Constructo Neuromarketing com profissionais de empresa de publicidade

This study aims to acknowledge the domain level and influence of the neuromarketing construct. This is done considering professionals at advertising agencies in Brazil. The presence of concepts related to this new approach is very little divulged, and there are little analysis performed on this area. Thus, the research is of qualitative and exploratory nature and used as primary fonts books, articles related to marketing, neuroscience, and psychology as well as secondary fonts. A profound interview was realized aiming the main advertising agencies in Brazil. The public was composed by managers responsible for planning. A content analysis was performed afterwards. The advances related to the brain science have permitted the development of technological innovation. These go primarily towards knowledge and unconscious experiences of consumers, which are responsible for the impulse of decision making and consumer behavior. These issues are related to Neuromarketing, that in turn, uses techniques such as FMRI, PET and FDOT. These scan the consumer s brain and produces imagines on the neuron s structures and functioning. This is seen while activities such as mental tasks for the visualization of brands, images or products, watching videos and commercials are performed. It is observed that the agencies are constantly in search of new technologies and are aware of the limitations of the current research instruments. On the other hand, they are not totally familiar with concepts related to neuromarketing. In relation to the neuroimage techniques it is pointed out by the research that there is full unawareness, but some agencies seem to visualize positive impacts with the use of these techniques for the evaluation of films and in ways that permit to know the consumer better. It is also seen that neuroimage is perceived as a technique amongst others, but its application is not real, there are some barriers in the market and in the agencies itself. These barriers as well as some questioning allied to the scarce knowledge of neuromarketing, make it not possible to be put into practice in the advertising market. It is also observed that even though there is greater use of neuromarketing; there would not be any meaningful changes in functioning and structuring of these agencies. The use of the neuro-image machines should be done in research institutes and centers of big companies. Results show that the level of domain of the neuromarketing construct in the Brazilian advertising agencies is only a theoretical one. Little is known of this subject and the neurological studies and absolutely nothing of neuroimage techniques

Dissecting the role of Profilin-1 in microglial cell function: the impact on ROS production

Microglial cells are the resident immune cells of central nervous system (CNS) and the major players in neuroinflammation. These cells are also responsible for surveilling the neuronal microenvironment, and upon injury to the CNS they change their morphology and molecular profile and become activated. Activated status is associated with microglia proliferation, migration to injury foci, increased phagocytic capacity, production and release of reactive oxygen species (ROS), cytokines (pro- or anti-inflammatory) and reactive nitrogen species. Microglia activation is crucial for tissue repair in the healthy brain. However, their chronic activation or deregulation might contribute for the pathophysiology of neurodegenerative diseases. A better understanding of the mechanisms underlying microglial cell activation is important for defining targets and develop appropriate therapeutic strategies to control the chronic activation of microglia. It has been observed an increase in profilin (Pfn) mRNA in microglial cells in the rat hippocampus after unilateral ablation of its major extrinsic input, the entorhinal cortex. This observation suggested that Pfn might be involved in microglia activation. Pfn1 is an actin binding protein that controls assembly and disassembly of actin filaments and is important for several cellular processes, including, motility, cell proliferation and survival. Here, we studied the role of Pfn1 in microglial cell function. For that, we used primary cortical microglial cell cultures and microglial cell lines in which we knocked down Pfn1 expression and assessed the activation status of microglia, based on classical activation markers, such as: phagocytosis, glutamate release, reactive oxygen species (ROS), pro- and anti-inflammatory cytokines. We demonstrated that Pfn1 (i) is more active in hypoxia-challenged microglia, (ii) modulates microglia pro- and anti-inflammatory signatures and (iii) plays a critical role in ROS generation in microglia. Altogether, we conclude that Pfn1 is a key protein for microglia homeostasis, playing an essential role in their activation, regardless the polarization into a pro or anti-inflammatory signature.

Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

Optimization of a multielectrode array (MEA)-based approach to study the impact of Aβ on the SH-SY5Y cell line

The human brain stores, integrates, and transmits information recurring to millions of neurons, interconnected by countless synapses. Though neurons communicate through chemical signaling, information is coded and conducted in the form of electrical signals. Neuroelectrophysiology focus on the study of this type of signaling. Both intra and extracellular approaches are used in research, but none holds as much potential in high-throughput screening and drug discovery, as extracellular recordings using multielectrode arrays (MEAs). MEAs measure neuronal activity, both in vitro and in vivo. Their key advantage is the capability to record electrical activity at multiple sites simultaneously. Alzheimer’s disease (AD) is the most common neurodegenerative disease and one of the leading causes of death worldwide. It is characterized by neurofibrillar tangles and aggregates of amyloid-β (Aβ) peptides, which lead to the loss of synapses and ultimately neuronal death. Currently, there is no cure and the drugs available can only delay its progression. In vitro MEA assays enable rapid screening of neuroprotective and neuroharming compounds. Therefore, MEA recordings are of great use in both AD basic and clinical research. The main aim of this thesis was to optimize the formation of SH-SY5Y neuronal networks on MEAs. These can be extremely useful for facilities that do not have access to primary neuronal cultures, but can also save resources and facilitate obtaining faster high-throughput results to those that do. Adhesion-mediating compounds proved to impact cell morphology, viability and exhibition of spontaneous electrical activity. Moreover, SH-SY5Y cells were successfully differentiated and demonstrated acute effects on neuronal function after Aβ addition. This effect on electrical signaling was dependent on Aβ oligomers concentration. The results here presented allow us to conclude that the SH-SY5Y cell line can be successfully differentiated in properly coated MEAs and be used for assessing acute Aβ effects on neuronal signaling.

Dissecting signaling pathways that control glia migration in the developing Drosophila retina

The function of a complex nervous system relies on an intricate interaction between neurons and glial cells. However, as glial cells are generally born distant from the place where they settle, molecular cues are important to direct their migration. Glial cell migration is important in both normal development and disease, thus current research in the laboratory has been focused on dissecting regulatory events underlying that crucial process. With this purpose, the Drosophila eye imaginal disc has been used as a model. In response to neuronal photoreceptor differentiation, glial cells migrate from the CNS into the eye disc where they act to correctly wrap axons. To ensure proper development, attractive and repulsive signals must coordinate glial cell migration. Importantly, one of these signals is Bnl, a Fibroblast Growth Factor (FGF) ligand expressed by retinal progenitor cells that was suggested to act as a non-autonomous negative regulator of excessive glial cell migration (overmigration) by binding and activating the Btl receptor expressed by glial cells. Through the experimental results described in chapter 3 we gained a detailed insight into the function of bnl in eye disc growth, photoreceptor development, and glia migration. Interestingly, we did not find a direct correlation between the defects on the ongoing photoreceptors and the glia overmigration phenotype; however, bnl knockdown caused apoptosis of eye progenitor cells what was strongly correlated with glia migration defects. Glia overmigration due to Bnl down-regulation in eye progenitor cells was rescued by inhibiting the pro-apoptotic genes or caspases activity, as well as, by depleting JNK or Dp53 function in retinal progenitor cells. Thus, we suggest a cross-talk between those developmental signals in the control of glia migration at a distance. Importantly, these results suggest that Bnl does not control glial migration in the eye disc exclusively through its ability to bind and activate its receptor Btl in glial cells. We also discuss possible biological roles for the glia overmigration in the bnl knockdown background. Previous results in the lab showed an interaction between dMyc, a master regulator of tissue growth, and Dpp, a Transforming Growth Factor-β important for retinal patterning and for accurate glia migration into the eye disc. Thus, we became interested in understanding putative relationships between Bnl and dMyc. In chapter 4, we show that they positively cooperate in order to ensure proper development of the eye disc. This work highlights the importance of the FGF signaling in eye disc development and reveals a signaling network where a range of extra- and intra-cellular signals cooperate to non-autonomously control glial cell migration. Therefore, such inter-relations could be important in other Drosophila cellular contexts, as well as in vertebrate tissue development.

Chemokines impact in Alzheimer’s disease

Alzheimer’s Disease (AD) is a neurodegenerative disorder neuropathologically characterized by the presence of extracellular senile plaques, intracellular neurofibrillary tangles and synaptic loss. Neuroinflammation has been associated with some neurodegenerative diseases, such as AD. In AD, increased Aβ production and aggregation, have a fundamental role in the activation of the inflammatory process. In turn, this could be fundamental in the early stages of this pathology, regarding the Aβ clearance and brain protection. However, chronic inflammation leads to an increase of the inflammatory mediators, such as cytokines, released by activated microglia, astrocytes, and neurons. The excessive production of these inflammatory components promotes alterations in both amyloid precursor protein (APP) expression and processing, stimulating the increase of Aβ accumulation and abnormal tau phosphorylation. This results in neurotoxic effects, irreversible damage and neuronal loss. Chronic inflammation is a feature of AD however, little is known about the effects of some chemokines on its pathogenesis. Thus, the main aim of this thesis was to study the impact of the interleukin-8 (IL-8) and monocyte chemoattractant protein-1 (MCP-1) on apoptosis, APP and tau. The both studied chemokines resulted in small alterations regarding the cytotoxicity on SH-SY5Y differentiated cells, being a significant increase in apoptosis observed only for the MCP-1 at the highest concentration. For the APP processing no significant differences were obtained, although a tendency to increase at different concentrations and periods was registered for both IL-8 and MCP-1. With respect to tau and other cytoskeleton-associated proteins, it was possible to observe a tendency to increase in the phosphorylated residue (Ser396) at the higher concentrations, as well as alterations on actin and tubulin with an increase on acetylated-α tubulin. This effect can be translated by neuronal architectural and survival alterations. Therefore additional studies could contribute to a better understanding of the way that these chemokines act on AD pathogenesis.

APP RERMS enriched matrix as an adhesion substrate for neuritic outgrowth

Specific domains can determine protein structural functional relationships. For the Alzheimer’s Amyloid Precursor Protein (APP) several domains have been described, both in its intracellular and extracellular fragments. Many functions have been attributed to APP including an important role in cell adhesion and cell to cell recognition. This places APP at key biological responses, including synaptic transmission. To fulfil these functions, extracellular domains take on added significance. The APP extracellular domain RERMS is in fact a likely candidate to be involved in the aforementioned physiological processes. A multidisciplinary approach was employed to address the role of RERMS. The peptide RERMS was crosslinked to PEG (Polyethylene glycol) and the reaction validated by FTIR (Fourier transform infrared spectrometry). FTIR proved to be the most efficient at validating this reaction because it requires only a drop of sample, and it gives information about the reactions occurred in a mixture. The data obtained consist in an infrared spectra of the sample, where peaks positions give information about the structure of the molecules, and the intensity of peaks is related to the concentration of the molecules. Subsequently substrates of PEG impregnated with RERMS were prepared and SH-SY5Y (human neuroblastoma cell line) cells were plated and differentiated on the latter. Several morphological alterations were clearly evident. The RERMS peptide provoked cells to take on a flatter appearance and the cytoskeletal architecture changed, with the appearance of stress fibres, a clear indicator of actin reorganization. Given that focal adhesions play a key role in determining cellular structure the latter were directly investigated. Focal adhesion kinase (FAK) is one of the most highly expressed proteins in the CNS (central nervous system) during development. It has been described to be crucial for radial migration of neurons. FAK can be localized in growth cones and mediated the response to attractive and repulsive cues during migration. One of the mechanisms by which FAK becomes active is by auto phosphorylation at tyrosine 397. It became clearly evident that in the presence of the RERMS peptide pFAK staining at focal adhesions intensified and more focal adhesions became apparent. Furthermore speckled structures in the nucleus, putatively corresponding to increased expression activity, also increased with RERMS. Taken together these results indicate that the RERMS domain in APP plays a critical role in determining cellular physiological responses. Here is suggested a model by which RERMS domain is recognized by integrins and mediate intracellular responses involving FAK, talin, actin filaments and vinculin. This mechanism probably is responsible for mediating cell adhesion and neurite outgrowth on neurons.

Mapeando fundamentos do Constructo Neuromarketing com profissionais de empresa de publicidade

This study aims to acknowledge the domain level and influence of the neuromarketing construct. This is done considering professionals at advertising agencies in Brazil. The presence of concepts related to this new approach is very little divulged, and there are little analysis performed on this area. Thus, the research is of qualitative and exploratory nature and used as primary fonts books, articles related to marketing, neuroscience, and psychology as well as secondary fonts. A profound interview was realized aiming the main advertising agencies in Brazil. The public was composed by managers responsible for planning. A content analysis was performed afterwards. The advances related to the brain science have permitted the development of technological innovation. These go primarily towards knowledge and unconscious experiences of consumers, which are responsible for the impulse of decision making and consumer behavior. These issues are related to Neuromarketing, that in turn, uses techniques such as FMRI, PET and FDOT. These scan the consumer s brain and produces imagines on the neuron s structures and functioning. This is seen while activities such as mental tasks for the visualization of brands, images or products, watching videos and commercials are performed. It is observed that the agencies are constantly in search of new technologies and are aware of the limitations of the current research instruments. On the other hand, they are not totally familiar with concepts related to neuromarketing. In relation to the neuroimage techniques it is pointed out by the research that there is full unawareness, but some agencies seem to visualize positive impacts with the use of these techniques for the evaluation of films and in ways that permit to know the consumer better. It is also seen that neuroimage is perceived as a technique amongst others, but its application is not real, there are some barriers in the market and in the agencies itself. These barriers as well as some questioning allied to the scarce knowledge of neuromarketing, make it not possible to be put into practice in the advertising market. It is also observed that even though there is greater use of neuromarketing; there would not be any meaningful changes in functioning and structuring of these agencies. The use of the neuro-image machines should be done in research institutes and centers of big companies. Results show that the level of domain of the neuromarketing construct in the Brazilian advertising agencies is only a theoretical one. Little is known of this subject and the neurological studies and absolutely nothing of neuroimage techniques

Alterações da sinalização purinérgica gastrointestinal na Diabetes

A dismotilidade entérica é uma complicação a longo prazo da Diabetes mellitus (DM) que causa desconforto significativo em 76% dos pacientes diabéticos. Sabendo que as purinas estão envolvidas na neuromodulação colinérgica e que no SNC de animais diabéticos foram encontradas alterações na expressão de recetores purinérgicos, decidimos investigar se na dismotilidade diabética a neuromodulação purinérgica se encontra preservada. O modelo animal escolhido de diabetes tipo I resultou da administração de estreptozotocina (STZ, 55 mg/kg, IP) a ratazanas (Rattus norvegicus, Wistar). Este modelo STZ provou ser adequado para o estudo, apresentando 2 semanas após a indução polidipsia, poliúria, polifagia, hiperglicemia e um atraso da motilidade gastrointestinal. A caraterização morfológica macroscópica dos animais STZ revelou um aumento significativo do cego e do intestino. Funcionalmente, estudos preliminares indicam que as contrações espontâneas do íleo dos animais STZ perdem ritmicidade e apresentam maior amplitude que as dos animais controlo de uma forma insensível à TTX, sugerindo o comprometimento das ICC. Paralelamente, estudos imagiológicos revelaram uma perda neuronal mioentérica, principalmente de neurónios nitrérgicos, sendo os colinérgicos preservados. Contudo, a resposta muscular do íleo de animais diabéticos à acetilcolina (ACh) foi inferior à dos controlos, estando a libertação de ACh modulada pela adenosina modificada. Verificou-se que a inibição promovida pelos recetores A1 se mantinha, mas que se perdia a facilitação mediada pela ativação de recetores A2A, cuja imunorreatividade também se encontrava diminuída. Curiosamente, apesar do catabolismo do ATP e dos seus metabolitos estar aumentado nos animais STZ, não se verificou um aumento dos níveis extracelulares de adenosina. Nos animais diabéticos a adenosina é rapidamente desaminada e recaptada por transportadores de nucleósidos, com principal relevância para os concentrativos, sendo os equilibrativos responsáveis pelo transporte da adenosina em animais controlo. Os resultados apresentados nesta tese sugerem que a dismotilidade diabética pode dever-se à perda da atividade nitrérgica, das ICC e da neuromodulação purinérgica mediada por recetores A2A, comprometendo assim a libertação de ACh e consequentemente a motilidade GI.

Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

Análise estequiométrica da dinâmica não-linear de redes de reações químicas

Dissertação (mestrado)—Universidade de Brasília, Instituto de Química, Programa de Pós-Graduação em Química, 2016.

Modulation of GABA and glutamate release by brain-derived neurotrophic factor : role of adenosine A2A receptors

Trabalho Final do Curso de Mestrado Integrado em Medicina, Faculdade de Medicina, Universidade de Lisboa, 2014

The effect of chaperone compounds on glucocerebrosidase stability and activity in fibroblasts from Gaucher Disease patients with different genotypes

Dissertação de mestrado, Ciências Biomédicas, Departamento de Ciências Biomédicas e Medicina, Universidade do Algarve, 2014

Differentiation of human pluripotent stem cells to the neuronal dopaminergic fate

Dissertação de Mestrado, Ciências Biomédicas, Departamento de Ciências Biomédicas e Medicina, Universidade do Algarve, 2013