Authentication and autorisation prototype on the microgrid for medical data management

International audienceThis paper presents μgrid, a light weight middleware for grid applications, and focuses mainly on security issues -more specifically on the access control to resources - that are critical for the gridification of many medical applications. For this purpose, we use Sygn as a distributed, certificate based, and flexible access control mechanism, which has been fully integrated in μgrid. We discuss the advantages of the solution compared to classical grid approaches and the limitations of the final architecture

Medical Image Content-Based Queries using the Grid

International audienceComputation and data grids have encountered a large success among the scientific computing community in the past few years. The medical imaging community is increasingly aware of the potential benefit of these technologies in facing today medical image analysis challenges. In this paper, we report on a first experiment in deploying a medical application on a large scale grid testbed. Our pilot application is a hybrid metadata and image content-based query system that manipulates a large data set and for which image analysis computation can be easily parallelized on several grid nodes. We analyze the performances of this algorithm and the benefit brought by the grid. We further discuss possible improvements and future trends in porting medical applications to grid infrastructures

The Partisan Politics of New Social Risks in Advanced Postindustrial Democracies: Social Protection for Labor Market Outsiders

Advanced postindustrialization generates numerous challenges for the European social model. Central among these challenges is declining income, unstable employment, and inadequate training of semi- and unskilled workers. In this chapter, I assess the partisan basis of support for social policies that address the needs of these marginalized workers. I specifically consider the impacts of postindustrial cleavages among core constituencies of social democratic parties on the capacity of these parties to pursue inclusive social policies. I argue – and find support for in empirical analyses – that encompassing labor organization is the most important factor in strengthening the ability of left parties to build successful coalitions in support of outsider-friendly policies. I go beyond existing work on the topic by considering the full array of postindustrial cleavages facing left parties, by more fully elaborating why encompassing labor organization is crucial, and by considering a more complete set of measures of outsider policies than extant work. I compare my arguments and findings to important new work that stresses coalition building and partisan politics but minimizes the role of class organization

Measuring serotonin synthesis: from conventional methods to PET tracers and their (pre)clinical implications

The serotonergic system of the brain is complex, with an extensive innervation pattern covering all brain regions and endowed with at least 15 different receptors (each with their particular distribution patterns), specific reuptake mechanisms and synthetic processes. Many aspects of the functioning of the serotonergic system are still unclear, partially because of the difficulty of measuring physiological processes in the living brain. In this review we give an overview of the conventional methods of measuring serotonin synthesis and methods using positron emission tomography (PET) tracers, more specifically with respect to serotonergic function in affective disorders. Conventional methods are invasive and do not directly measure synthesis rates. Although they may give insight into turnover rates, a more direct measurement may be preferred. PET is a noninvasive technique which can trace metabolic processes, like serotonin synthesis. Tracers developed for this purpose are α-[11C]methyltryptophan ([11C]AMT) and 5-hydroxy-L-[β-11C]tryptophan ([11C]5-HTP). Both tracers have advantages and disadvantages. [11C]AMT can enter the kynurenine pathway under inflammatory conditions (and thus provide a false signal), but this tracer has been used in many studies leading to novel insights regarding antidepressant action. [11C]5-HTP is difficult to produce, but trapping of this compound may better represent serotonin synthesis. AMT and 5-HTP kinetics are differently affected by tryptophan depletion and changes of mood. This may indicate that both tracers are associated with different enzymatic processes. In conclusion, PET with radiolabelled substrates for the serotonergic pathway is the only direct way to detect changes of serotonin synthesis in the living brain

A História da Alimentação: balizas historiográficas

Os M. pretenderam traçar um quadro da História da Alimentação, não como um novo ramo epistemológico da disciplina, mas como um campo em desenvolvimento de práticas e atividades especializadas, incluindo pesquisa, formação, publicações, associações, encontros acadêmicos, etc. Um breve relato das condições em que tal campo se assentou faz-se preceder de um panorama dos estudos de alimentação e temas correia tos, em geral, segundo cinco abardagens Ia biológica, a econômica, a social, a cultural e a filosófica!, assim como da identificação das contribuições mais relevantes da Antropologia, Arqueologia, Sociologia e Geografia. A fim de comentar a multiforme e volumosa bibliografia histórica, foi ela organizada segundo critérios morfológicos. A seguir, alguns tópicos importantes mereceram tratamento à parte: a fome, o alimento e o domínio religioso, as descobertas européias e a difusão mundial de alimentos, gosto e gastronomia. O artigo se encerra com um rápido balanço crítico da historiografia brasileira sobre o tema

Development of Methods for Protein and Peptide Analysis Applied in Neuroscience Utilizing Mass Spectrometry

This thesis describes the utilization of the matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) and electrospray ionization (ESI) MS techniques for analysis of complex brain tissue samples. Direct molecular profiling of biological samples using MALDI MS is a powerful tool for identifying phenotypic markers. MALDI MS-profiling of proteins and peptides directly on brain tissue sections was used for the first time to study experimental models of Parkinson’s disease (PD). The mass spectrometer was used to map the peptide and protein expression directly on 12 µm tissue sections in mass-to-charge (m/z) values, providing the capability of mapping specific molecules of the original sample, that is, localization, intensity and m/z ratio. Several protein and peptide expression profile differences were found in the dopamine denervated brains when compared to the corresponding controls, for example, calmodulin, cytochrome c, cytochrome c oxidase, and the neuroimmunophilin protein FKBP-12. The increased expression of FKBP-12 from the profiling experiments was supported by mRNA expression analysis and two-dimensional gel electrophoresis separation analysis. Multiple genetic deficits have linked impaired ubiquitin-conjugation pathways to various forms of familiar PD. This study showed for the first time an increased level of unconjugated ubiquitin specifically in the dorsal striatum of the dopamine depleted PD brain. The strength of the MALDI MS-profiling technique is that a minimum of sample handling and manipulation is necessary pre-analysis. This ensures preservation of the spatial localization of the biomolecules in the tissue section. Biological liquid samples often contain high amounts of salt that is non-compatible with the ESI MS technique. A nano-flow capillary liquid chromatography (nanoLC) system coupled on-line with ESI-MS was used to study the metabolism of the peptide LVV-hemorphin-7 in the brain and blood using in vivo microdialysis. The microdialysis technique provides capabilities for very precise sampling in specific brain regions. The combination of on-line desalting and pre-concentration by nanoLC with ESI MS is a powerful tool to detect minute concentration of metabolic fragments and endogenous biomolecules. The utilization of mass spectrometry in neuroscience applications provides a uniquely advantageous tool for the analysis of complex biochemical events that underlie the pathological symptoms expressed in different disease states. Furthermore, the MALDI-MS profiling technique shows great potential for the future with regards to proteome analysis and drug discovery

Development of Methods for Protein and Peptide Analysis Applied in Neuroscience Utilizing Mass Spectrometry

This thesis describes the utilization of the matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) and electrospray ionization (ESI) MS techniques for analysis of complex brain tissue samples. Direct molecular profiling of biological samples using MALDI MS is a powerful tool for identifying phenotypic markers. MALDI MS-profiling of proteins and peptides directly on brain tissue sections was used for the first time to study experimental models of Parkinson’s disease (PD). The mass spectrometer was used to map the peptide and protein expression directly on 12 µm tissue sections in mass-to-charge (m/z) values, providing the capability of mapping specific molecules of the original sample, that is, localization, intensity and m/z ratio. Several protein and peptide expression profile differences were found in the dopamine denervated brains when compared to the corresponding controls, for example, calmodulin, cytochrome c, cytochrome c oxidase, and the neuroimmunophilin protein FKBP-12. The increased expression of FKBP-12 from the profiling experiments was supported by mRNA expression analysis and two-dimensional gel electrophoresis separation analysis. Multiple genetic deficits have linked impaired ubiquitin-conjugation pathways to various forms of familiar PD. This study showed for the first time an increased level of unconjugated ubiquitin specifically in the dorsal striatum of the dopamine depleted PD brain. The strength of the MALDI MS-profiling technique is that a minimum of sample handling and manipulation is necessary pre-analysis. This ensures preservation of the spatial localization of the biomolecules in the tissue section. Biological liquid samples often contain high amounts of salt that is non-compatible with the ESI MS technique. A nano-flow capillary liquid chromatography (nanoLC) system coupled on-line with ESI-MS was used to study the metabolism of the peptide LVV-hemorphin-7 in the brain and blood using in vivo microdialysis. The microdialysis technique provides capabilities for very precise sampling in specific brain regions. The combination of on-line desalting and pre-concentration by nanoLC with ESI MS is a powerful tool to detect minute concentration of metabolic fragments and endogenous biomolecules. The utilization of mass spectrometry in neuroscience applications provides a uniquely advantageous tool for the analysis of complex biochemical events that underlie the pathological symptoms expressed in different disease states. Furthermore, the MALDI-MS profiling technique shows great potential for the future with regards to proteome analysis and drug discovery

Development of Methods for Protein and Peptide Analysis Applied in Neuroscience Utilizing Mass Spectrometry

This thesis describes the utilization of the matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) and electrospray ionization (ESI) MS techniques for analysis of complex brain tissue samples. Direct molecular profiling of biological samples using MALDI MS is a powerful tool for identifying phenotypic markers. MALDI MS-profiling of proteins and peptides directly on brain tissue sections was used for the first time to study experimental models of Parkinson’s disease (PD). The mass spectrometer was used to map the peptide and protein expression directly on 12 µm tissue sections in mass-to-charge (m/z) values, providing the capability of mapping specific molecules of the original sample, that is, localization, intensity and m/z ratio. Several protein and peptide expression profile differences were found in the dopamine denervated brains when compared to the corresponding controls, for example, calmodulin, cytochrome c, cytochrome c oxidase, and the neuroimmunophilin protein FKBP-12. The increased expression of FKBP-12 from the profiling experiments was supported by mRNA expression analysis and two-dimensional gel electrophoresis separation analysis. Multiple genetic deficits have linked impaired ubiquitin-conjugation pathways to various forms of familiar PD. This study showed for the first time an increased level of unconjugated ubiquitin specifically in the dorsal striatum of the dopamine depleted PD brain. The strength of the MALDI MS-profiling technique is that a minimum of sample handling and manipulation is necessary pre-analysis. This ensures preservation of the spatial localization of the biomolecules in the tissue section. Biological liquid samples often contain high amounts of salt that is non-compatible with the ESI MS technique. A nano-flow capillary liquid chromatography (nanoLC) system coupled on-line with ESI-MS was used to study the metabolism of the peptide LVV-hemorphin-7 in the brain and blood using in vivo microdialysis. The microdialysis technique provides capabilities for very precise sampling in specific brain regions. The combination of on-line desalting and pre-concentration by nanoLC with ESI MS is a powerful tool to detect minute concentration of metabolic fragments and endogenous biomolecules. The utilization of mass spectrometry in neuroscience applications provides a uniquely advantageous tool for the analysis of complex biochemical events that underlie the pathological symptoms expressed in different disease states. Furthermore, the MALDI-MS profiling technique shows great potential for the future with regards to proteome analysis and drug discovery

MetaData for Efficient, Secure and Extensible Access to Data in a Medical Grid

International audienceIn this paper we present the metadata usage in a medical imaging project grid. Metadata represent data about the data: In our case, the data are medical images and the metadata store relative information on the patient and hospital records, or even data about the image algorithms used in our application platform. Metadata are either static or dynamically constructed after computations on data. We show how the metadata is used, produced and stored to provide a secure and efficient access to medical data (and metadata) through a dedicated architecture. Experiments include times to access data and to secure the transactions