Toll-Interacting Protein Deficiency Leads to Increased Susceptibility to Acute and Chronic Colitis.

BACKGROUND: Sensing of bacterial products via Toll-like receptors is critical to maintain gut immune homeostasis. The Toll-Interacting Protein (Tollip) inhibits downstream signaling through the IL-1 receptor, TLR-2 and TLR-4. Here,we aimed to address the role of Tollip in acute and chronic inflammatory responses in the gut. MATERIAL AND METHODS: WT or Tollip-deficient mice were exposed to dextran sulfate sodium (DSS) 1.5% in the drinking water during 7 days. To generate bone-marrow chimeras, WT or Tollip deficient mice were 900-rads irradiated, transplanted with WT or Tollip deficient bone-marrow cells and challenged with DSS 2-3 months after transplantation. IL-10 deficient mice were bred with Tollip deficient mice and colitis was compared at various time points. RESULTS: Upon DSS exposure, Tollip-deficient mice had increased body weight loss and increased pro-inflammatory cytokine expression compared to WT controls. Challenge of bone-marrow chimeras showed that colitis susceptibility was also increased when Tollip deficiency was restricted to non-hematopoietic cells. DSS-exposure lead to a disorganized distribution of zona-occludens-1, a tight junction marker and increased number of apoptotic, cleaved caspase 3 positive, epithelial cells in Tollip-deficient compared to WT mice. Chronic colitis was also affected by Tollip deficiency as Tollip/IL-10 deficient mice had more severe histological stigmata of colitis and higher IL-17 expression than IL-10 deficient controls. CONCLUSION: Tollip in non-hematopoietic cells is critical for adequate response to a chemical-induced stress in the gut and to hamper chronic bacteria-driven colitis. Modulation of epithelial cell integrity via Tollip likely contributes to the observed defects.

ConnectomeViewer - Multi-Modal Multi-Level Network Visualization and Analysis.

Introduction: The field of Connectomic research is growing rapidly, resulting from methodological advances in structural neuroimaging on many spatial scales. Especially progress in Diffusion MRI data acquisition and processing made available macroscopic structural connectivity maps in vivo through Connectome Mapping Pipelines (Hagmann et al, 2008) into so-called Connectomes (Hagmann 2005, Sporns et al, 2005). They exhibit both spatial and topological information that constrain functional imaging studies and are relevant in their interpretation. The need for a special-purpose software tool for both clinical researchers and neuroscientists to support investigations of such connectome data has grown. Methods: We developed the ConnectomeViewer, a powerful, extensible software tool for visualization and analysis in connectomic research. It uses the novel defined container-like Connectome File Format, specifying networks (GraphML), surfaces (Gifti), volumes (Nifti), track data (TrackVis) and metadata. Usage of Python as programming language allows it to by cross-platform and have access to a multitude of scientific libraries. Results: Using a flexible plugin architecture, it is possible to enhance functionality for specific purposes easily. Following features are already implemented: * Ready usage of libraries, e.g. for complex network analysis (NetworkX) and data plotting (Matplotlib). More brain connectivity measures will be implemented in a future release (Rubinov et al, 2009). * 3D View of networks with node positioning based on corresponding ROI surface patch. Other layouts possible. * Picking functionality to select nodes, select edges, get more node information (ConnectomeWiki), toggle surface representations * Interactive thresholding and modality selection of edge properties using filters * Arbitrary metadata can be stored for networks, thereby allowing e.g. group-based analysis or meta-analysis. * Python Shell for scripting. Application data is exposed and can be modified or used for further post-processing. * Visualization pipelines using filters and modules can be composed with Mayavi (Ramachandran et al, 2008). * Interface to TrackVis to visualize track data. Selected nodes are converted to ROIs for fiber filtering The Connectome Mapping Pipeline (Hagmann et al, 2008) processed 20 healthy subjects into an average Connectome dataset. The Figures show the ConnectomeViewer user interface using this dataset. Connections are shown that occur in all 20 subjects. The dataset is freely available from the homepage (connectomeviewer.org). Conclusions: The ConnectomeViewer is a cross-platform, open-source software tool that provides extensive visualization and analysis capabilities for connectomic research. It has a modular architecture, integrates relevant datatypes and is completely scriptable. Visit www.connectomics.org to get involved as user or developer.

Politique cantonale vieillissement et santé : rapport du comité d'experts transmis à Monsieur le Conseiller d'Etat Pierre-Yves Maillard le 8 décembre 2011

Notre système de soins vaudois propose de nombreuses prestations de qualité aux personnes âgées. Le canton a été pionnier pour la mise en oeuvre de nombreuses initiatives : aide et soins à domicile, centres de traitements et de réadaptation, unités d'accueil temporaires, bureaux régionaux d'information et d'orientation. Autant de réalisations qui, preuve de leur intérêt, ont largement diffusé au-delà des frontières cantonales. Néanmoins, le vieillissement de la population vaudoise impose d'évaluer ce qui doit être entrepris pour adapter et consolider ces prestations afin de faire face le mieux possible aux formidables enjeux sanitaires liés à ce vieillissement. Ensuite, ces enjeux nécessitent aussi d'imaginer. Imaginer de nouvelles structures, de nouvelles missions, de nouvelles prestations et pratiques. Certaines mesures proposées visent le court terme et sont rapidement réalisables. D'autres nécessitent de modifier notre culture sanitaire, un défi qui demande du temps. Nous souhaitons, dans la politique proposée, initier ce processus dynamique. L'année 2012 marque symboliquement l'entrée en retraite des premiers baby-boomers et annonce la vague démographique qui culminera en 2030 déjà, lorsque un vaudois sur cinq aura plus de 65 ans. La politique "Vieillissement et Santé" proposée ici n'est pas figée. Si ce rapport a pour ambition d'être un outil de référence pour la communauté sanitaire, il ne représente qu'une étape dans les réflexions sur la santé et les soins aux aînés que le canton conduit depuis longtemps, et devra continuer à conduire. La politique qui y est décrite devra être périodiquement évaluée et adaptée. [Auteurs]

Correlational study: illness representations and coping styles in caregivers for individuals with schizophrenia.

BACKGROUND: Caring for individuals with schizophrenia can create distress for caregivers which can, in turn, have a harmful impact on patient progress. There could be a better understanding of the connections between caregivers' representations of schizophrenia and coping styles. This study aims at exploring those connections. METHODS: This correlational descriptive study was conducted with 92 caregivers of individuals suffering from schizophrenia. The participants completed three questionnaires translated and validated in French: (a) a socio-demographic questionnaire, (b) the Illness Perception Questionnaire for Schizophrenia and (c) the Family Coping Questionnaire. RESULTS: Our results show that illness representations are slightly correlated with coping styles. More specifically, emotional representations are correlated to an emotion-focused coping style centred on coercion, avoidance and resignation. CONCLUSION: Our results are coherent with the Commonsense Model of Self-Regulation of Health and Illness and should enable to develop new interventions for caregivers.