Microbiota Promotes Chronic Pulmonary Inflammation by Enhancing IL-17A and Autoantibodies

RATIONALE Changes in the pulmonary microbiota are associated with progressive respiratory diseases including chronic obstructive pulmonary disease. Whether there is a causal relationship between these changes and disease progression remains unknown. OBJECTIVE To investigate the link between an altered microbiota and disease, we utilized a model of chronic lung inflammation in specific pathogen free (SPF) mice and mice depleted of microbiota by antibiotic treatment or devoid of a microbiota (axenic). METHODS Mice were challenged with LPS/elastase intranasally over 4 weeks, resulting in a chronically inflamed and damaged lung. The ensuing cellular infiltration, histological damage and decline in lung function were quantified. MEASUREMENTS AND MAIN RESULTS Similar to human disease, the composition of the pulmonary microbiota was altered in disease animals. We found that the microbiota richness and diversity were decreased in LPS/Elastase-treated mice, with an increased representation of the genera Pseudomonas, Lactobacillus and a reduction in Prevotella. Moreover, the microbiota was implicated in disease development as mice depleted of microbiota exhibited an improvement in lung function, reduction in airway inflammation, decrease in lymphoid neogenesis and auto-reactive antibody responses. The absence of microbial cues also markedly decreased the production of IL-17A, whilst intranasal transfer of fluid enriched with the pulmonary microbiota isolated from diseased mice enhanced IL-17A production in the lungs of antibiotic treated or axenic recipients. Finally, in mice harboring a microbiota, neutralizing IL-17A dampened inflammation and restored lung function. CONCLUSIONS Collectively, our data indicate that host-microbial cross-talk promotes inflammation and could underlie the chronicity of inflammatory lung diseases.

Simple Accuracy Enhancing Techniques in Neuronavigation.

BACKGROUND Neuronavigation is an essential tool in cranial neurosurgery. Despite continuing improvements in the technologies used for neuronavigation, certain events can lead to unacceptable mismatches. To provide the best possible outcome for the patients, surgeons need to do everything possible to reduce mismatches. METHODS AND RESULTS Some simple techniques can greatly improve neuronavigation accuracy and patient safety. We describe two simple methods that were developed or refined in the Department of Neurosurgery at Inselspital, Bern, Switzerland: the transdermal navigation landmark and use of bone screws for co-registration. CONCLUSIONS Both techniques are easy to use, do not require expensive additional instruments, and are helpful in procedures involving neuronavigation.

Enhancing Authenticity in Simulation Using Appropriate Techniques of Moulage

Workshop Overview The use of special effects (moulage) is a way to augment the authenticity of a scenario in simulation. This workshop will introduce different techniques of moulage (oil based cream colors, watercolors, transfer tattoos and 3D Prosthetics). The participants will have the opportunity to explore these techniques by applying various moulages. They will compare the techniques and discuss their advantages and disadvantages. Moreover, strategies for standardization and quality assurance will be discussed. Workshop Rationale Moulage supports the sensory perception in an scenario (1). It can provide evaluation clues (2) and help learners (and SPs) to engage in the simulation. However, it is of crucial importance that the simulated physical pathologies are represented accurate and reliable. Accuracy is achieved by using the appropriate technique, which requires knowledge and practice . With information about different moulage techniques, we hope to increases the knowledge of moulage during the workshop. By applying moulages in various techniques we will practice together. As standardization is critical for simulation scenarios in assessment (3, 4) strategies for standardization of moulage will be introduced and discussed. Workshop Objectives During the workshop participants will: - gain knowledge about different techniques of moulages - practice moulages in various techniques - discuss the advantages and disadvantages of moulage techniques - describe strategies for standardization and quality assurance of moulage Planned Format 5 min Introduction 15 min Overview – Background & Theory (presentation) 15 min Application of moulage for ankle sprain in 4 different techniques (oil based cream color, water color, temporary tatoo, 3D prosthetic) in small groups 5 min Comparing the results by interactive viewing of prepared moulages 15 min Application of moulages for burn in different techniques in small groups 5 min Comparing results the results by interactive viewing of prepared moulages 5 min Sharing experiences with different techniques in small groups 20 min Discussion of the techniques including standardization and quality assurance strategies (plenary discussion) 5 min Summary / Take home points

Tumor immunization strategies for enhancing the graft versus tumor activity of allogeneic bone marrow transplantation

Allogeneic bone marrow transplantation (BMT) is known to induce a beneficial anti-tumor immune response called graft-versus-tumor (GVT) activity. However, GVT activity is closely associated with graft-versus-host disease (GVHD), a potentially fatal immune response against antigens on normal recipient tissues. The T-cell populations mediating these two processes are often overlapping, but studies have shown that some donor T-cells can be tumor-specific. Therefore, the goal of this study was to develop strategies for preferentially activating donor T-cells capable of mediating GVT activity but not GVHD. The three hypotheses tested were: (1) Pre-transplant immunization of BMT donors with a recipient-derived tumor cell vaccine will induce a relative increase in GVT activity as compared to GVHD. (2) Post-transplant tumor immunization of BMT recipients will enhance GVT activity without exacerbating GVHD. (3) Pre-transplant immunization of BMT donors against a tumor-specific antigen will enhance GVT activity without exacerbating GVHD. ^ To test the first two hypotheses, C3H.SW mice (MHC-matched donors) were immunized with a C57BL/6 (recipient)-derived tumor cell vaccine (leukemia or fibrosarcoma) prior to BMT, or recipients were immunized starting one month after BMT. Both donor and recipient immunization led to a significant increase in GVT activity (enhanced recipient survival and decreased tumor growth). However, donor immunization also increased fatal GVHD, which was at least partially due to activation of alloreactive T-cells recognizing the immunodominant minor histocompatibility antigen B6dom1. GVT immunity following recipient immunization was not associated with an exacerbation of GVHD or a response to B6dom1. ^ To test the third hypothesis, influenza nucleoprotein (NP) was used as a model tumor antigen. C3H.SW donors were immunized against NP prior to BMT, which led to a significant increase in GVT activity. Although recipients were not completely protected against growth of antigen loss variant tumors, there was no increase in GVHD. ^ In conclusion, (1) immunization of allogeneic BMT donors with a recipient-derived tumor cell vaccine substantially increases GVT activity but also exacerbates GVHD, (2) post-transplant tumor immunization of allogeneic BMT recipients significantly increases GVT activity and survival without exacerbating GVHD, and (3) immunization of allogeneic BMT donors against a tumor-specific antigen significantly enhances GVT activity without exacerbating GVHD. ^

Expectations, and Credibility in a Model of Monetary Policy

Recent monetary history has been characterized by monetary authorities which have been, alternatively hard and soft on inflation. In a vintage capital framework, investment decisions are not easily reversed. Therefore, expectations of policy as well as current policy are important to the investment decision. Here, a vintage capital model is used to assess the value of central bank credibility for a policy change. Policy in this model is assumed to be private information of the central banker. Agents learn about that policy which to study the ensuing transitional dynamics following a change in monetary policy regime.

Taxonomy of nursing clinical credibility as described by nurses and physicians

Introduction: Nursing clinical credibility, a complex, abstract concept is rarely mentioned in the clinical setting, but is implicitly understood by nurses and physicians. The concept has neither been defined nor explored, despite its repeated use in literature. A review of the extant literature formed the basis for a concept analysis of nursing clinical credibility, which is currently under review for publication. ^ Methods: Using taxonomic analysis, findings of a descriptive qualitative research study in which registered nurses and physicians identified attributes of nursing clinical credibility as it applied to nurses in direct care roles in a hospital setting, formed the basis for development of taxonomies of nursing clinical credibility. A secondary review of literature was undertaken to verify congruence of the taxonomic domains with the work of previous researchers who studied credibility and source credibility. ^ Results: Three taxonomies of nursing clinical credibility emerged from the taxonomic analysis. Using an inductive approach, two separate taxonomies of nursing clinical credibility emerged; one was developed from the descriptions of nursing clinical credibility by registered nurses, and the other from physicians' descriptions of nursing clinical credibility. A third and final taxonomy reflects commonalities within both taxonomies. Three domains were consistent for both nurses and physicians: trustworthiness, expertise, and caring. The two disciplines differed in categories and emphases within the domains; however, both disciplines focused on the attributes of trustworthiness and caring, although physicians and nurses differed on components of expertise. ^ Discussion: Findings from this study of nursing clinical credibility concur with the work of previous researchers who identified trustworthiness and expertise as attributes of credibility and source credibility. Findings suggest however, that trustworthiness and expertise alone are not sufficient attributes of nursing clinical credibility. Caring emerged as an essential domain of nursing clinical credibility according to both nurses and physicians. ^ Products: Products of this research include a concept analysis, two discipline-specific taxonomies of nursing clinical credibility, a third final taxonomy, and a monograph that describes the development of the final taxonomy of nursing clinical credibility. ^

OXIDATIVE STRESS BASED STRATEGIES FOR ENHANCING THE EFFICACY OF HISTONE DEACETYLASE INHIBITORS (HDACi)

Histone deacetylase inhibitors (HDACi) are anti-cancer drugs that primarily act upon acetylation of histones, however they also increase levels of intracellular reactive oxygen species (ROS). We hypothesized that agents that cause oxidative stress might enhance the efficacy of HDACi. To test this hypothesis, we treated acute lymphocytic leukemia cells (ALL) with HDACi and adaphostin (ROS generating agent). The combination of two different HDACi (vorinostat or entinostat) with adaphostin synergistically induced apoptosis in ALL. This synergistic effect was blocked when cells were pre-treated with the caspase-9 inhibitor, LEHD. In addition, we showed that loss of the mitochondrial membrane potential is the earliest event observed starting at 12 h. Following this event, we observed increased levels of superoxide at 16 h, and ultimately caspase-3 activation. Pre-treatment with the antioxidant N-acetylcysteine (NAC) blocked ROS generation and reversed the loss of mitochondrial membrane potential for both combinations. Interestingly, DNA fragmentation and caspase-3 activity was only blocked by NAC in cells treated with vorinostat-adaphostin; but not with entinostat-adaphostin. These results suggest that different redox mechanisms are involved in the induction of ROS-mediated apoptosis. To further understand these events, we studied the role of the antioxidants glutathione (GSH) and thioredoxin (Trx). We found that the combination of entinostat-adaphostin induced acetylation of the antioxidant thioredoxin (Trx) and decreased intracellular levels of GSH. However, no effect on Trx activity was observed in either combination. In addition, pre-treatment with GSH ethyl ester, a soluble form of GSH, did not block DNA fragmentation. Together these results suggested that GSH and Trx are not major players in the induction of oxidative stress. Array data examining the expression of genes involved in oxidative stress demonstrated a differential regulation between cells treated with vorinostat-adaphostin and entinostat-adaphostin. Some of the genes differentially expressed between the combinations include aldehyde oxidase 1, glutathione peroxidase-5, -6, peroxiredoxin 6 and myeloperoxidase. Taken together, these experimental results indicate that the synergistic activity of two different HDACi with adaphostin is mediated by distinct redox mechanisms in ALL cells. Understanding the mechanism involved in these combinations will advance scientific knowledge of how the action of HDACi could be augmented in leukemia models. Moreover, this information could be used for the development of effective clinical trials combining HDACi with other anticancer agents.

Enhancing Yield and Biological Nitrogen Fixation of Common Beans

Two studies were conducted at the ISU Horticulture Station to evaluate potential limitations on yield and atmospheric nitrogen fixation by common bean (Phaseolus vulgaris L.). This legume is a food staple for small landholder farm families worldwide. But it has a limited capacity for nitrogen fixation and often yields only a fraction of its genetic potential. In these studies, we examined the dependence of pod filling on current assimilate supply, as well as the potential to improve nitrogen fixation using an inoculant shown to enhance biological nitrogen fixation under stressful conditions.

Enhancing skills in solving open-ended problems using game-based exercises

Some requirements for engineering programmes, such as an ability to use the techniques, skills and modern engineering tools necessary for engineering practice, as well as an understanding of professional and ethical responsibility or an ability to communicate effectively, need new activities designed for measuring students’ progress. Negotiations take place continuously at any stage of a project and, so, the ability of engineers and managers to effectively carry out a negotiation is crucial for the success or failure of projects and businesses. Since it involves communication between individuals motivated to come together in an agreement for mutual benefit, it can be used to enhance these personal abilities. The main objective of this study was to evaluate the adequacy of mixing playing sessions and theory to maximise the students’ strategic vision in combination with negotiating skills. Results show that the combination of playing with theoretical training teaches students to strategise through analysis and discussion of alternatives. The outcome is then more optimised.

Enhancing Activity Recognition by Fusing Inertial and Biometric Information

Activity recognition is an active research field nowadays, as it enables the development of highly adaptive applications, e.g. in the field of personal health. In this paper, a light high-level fusion algorithm to detect the activity that an individual is performing is presented. The algorithm relies on data gathered from accelerometers placed on different parts of the body, and on biometric sensors. Inertial sensors allow detecting activity by analyzing signal features such as amplitude or peaks. In addition, there is a relationship between the activity intensity and biometric response, which can be considered together with acceleration data to improve the accuracy of activity detection. The proposed algorithm is designed to work with minimum computational cost, being ready to run in a mobile device as part of a context-aware application. In order to enable different user scenarios, the algorithm offers best-effort activity estimation: its quality of estimation depends on the position and number of the available inertial sensors, and also on the presence of biometric information.

Enhancing Interaction With Smart Objects Throught Mobile Devices

Interaction with smart objects can be accomplished with different technologies, such as tangible interfaces or touch computing, among others. Some of them require the object to be especially designed to be 'smart', and some other are limited in the variety and complexity of the possible actions. This paper describes a user-smart object interaction model and prototype based on the well known event-condition-action (ECA) reasoning, which can work, to a degree, independently of the intelligence embedded into the smart object. It has been designed for mobile devices to act as mediators between users and smart objects and provides an intuitive means for personalization of object's behavior. When the user is close to an object, this one publishes its 'event & action' capabilities to the user's device. The user may accept the object's module offering, which will enable him to configure and control that object, but also its actions with respect to other elements of the environment or the virtual world. The modular ECA interaction model facilitates the integration of different types of objects in a smart space, giving the user full control of their capabilities and facilitating creative mash-uping to build customized functionalities that combine physical and virtual actions

Tiled Projector Displays Correction for Dark Scenes in Railway Simulators

Tiled projector displays are a common choice for training simulators, where a high resolution output image is required. They are cheap for the resolution that they can reach and can be configured in many different ways. Nevertheless, such kinds of displays require geometric and color correction so that the composite image looks seamless. Display correction is an even bigger challenge when the projected images include dark scenes combined with brighter scenes. This is usually a problem for railway simulators when the train is positioned inside a tunnel and the black offset effect becomes noticeable. In this paper, a method for fast photometric and geometric correction of tiled display systems where dark and bright scenes are combined is presented. The image correction is carried out in two steps. First, geometric alignment and overlapping areas attenuation for brighter scenes is applied. Second, in the event of being inside a tunnel, the brightness of the scene is increased in certain areas using light sources in order to create the impression of darkness but minimizing the effect of the black offset

OPPL-Galaxy, a Galaxy tool for enhancing ontology exploitation as part of bioinformatics workflows

Biomedical ontologies are key elements for building up the Life Sciences Semantic Web. Reusing and building biomedical ontologies requires flexible and versatile tools to manipulate them efficiently, in particular for enriching their axiomatic content. The Ontology Pre Processor Language (OPPL) is an OWL-based language for automating the changes to be performed in an ontology. OPPL augments the ontologists’ toolbox by providing a more efficient, and less error-prone, mechanism for enriching a biomedical ontology than that obtained by a manual treatment. Results We present OPPL-Galaxy, a wrapper for using OPPL within Galaxy. The functionality delivered by OPPL (i.e. automated ontology manipulation) can be combined with the tools and workflows devised within the Galaxy framework, resulting in an enhancement of OPPL. Use cases are provided in order to demonstrate OPPL-Galaxy’s capability for enriching, modifying and querying biomedical ontologies. Conclusions Coupling OPPL-Galaxy with other bioinformatics tools of the Galaxy framework results in a system that is more than the sum of its parts. OPPL-Galaxy opens a new dimension of analyses and exploitation of biomedical ontologies, including automated reasoning, paving the way towards advanced biological data analyses.

An autonomic framework for enhancing the quality of data grid services

Data grid services have been used to deal with the increasing needs of applications in terms of data volume and throughput. The large scale, heterogeneity and dynamism of grid environments often make management and tuning of these data services very complex. Furthermore, current high-performance I/O approaches are characterized by their high complexity and specific features that usually require specialized administrator skills. Autonomic computing can help manage this complexity. The present paper describes an autonomic subsystem intended to provide self-management features aimed at efficiently reducing the I/O problem in a grid environment, thereby enhancing the quality of service (QoS) of data access and storage services in the grid. Our proposal takes into account that data produced in an I/O system is not usually immediately required. Therefore, performance improvements are related not only to current but also to any future I/O access, as the actual data access usually occurs later on. Nevertheless, the exact time of the next I/O operations is unknown. Thus, our approach proposes a long-term prediction designed to forecast the future workload of grid components. This enables the autonomic subsystem to determine the optimal data placement to improve both current and future I/O operations.

Enhancing the expressiveness of linguistic structures

In the information society large amounts of information are being generated and transmitted constantly, especially in the most natural way for humans, i.e., natural language. Social networks, blogs, forums, and Q&A sites are a dynamic Large Knowledge Repository. So, Web 2.0 contains structured data but still the largest amount of information is expressed in natural language. Linguistic structures for text recognition enable the extraction of structured information from texts. However, the expressiveness of the current structures is limited as they have been designed with a strict order in their phrases, limiting their applicability to other languages and making them more sensible to grammatical errors. To overcome these limitations, in this paper we present a linguistic structure named ?linguistic schema?, with a richer expressiveness that introduces less implicit constraints over annotations.