381 research outputs found

    Colibacillosis in poultry: A disease overview and the new perspectives for its control and prevention

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    ΔΕΝ ΔΙΑΤΙΘΕΤΑΙ ΠΕΡΙΛΗΨΗEscherichia coli (E.coli) is a common bacterium that can be naturally found in the intestinal tract of birds and as a result in their environment. However, it can cause clinical disease called colibacillosis which is regarded as one of the most common and important diseases in poultry. Strains of E.coli that have the ability to cause clinical disease are described as Avian Pathogenic Escherichia Coli (APEC). Colibacillosis can affect birds of all ages and different types of poultry production including broiler and commercial layers and breeders. The ability of E.coli to cause colibacillosis is not always the same; that is why its role as primary or secondary pathogen triggered by various predisposing factors is contradictory and differs from case to case. Antibiotics have been used as the main tool against colibacillosis for many decades. However, the emergence of increased antibiotic resistance has posed the need of alternative treatment to colibacillosis as well as emphasizing on preventive measures to avoid disease. Τhe scope of this article is to assess recent scientific literature data on avian colibacillosis emphasizing on disease characteristics and recent data on prevention and control of the disease

    Comparative analysis of the core proteomes among the Pseudomonas major evolutionary groups reveals species-specific adaptations for Pseudomonas aeruginosa and Pseudomonas chlororaphis

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    The Pseudomonas genus includes many species living in diverse environments and hosts. It is important to understand which are the major evolutionary groups and what are the genomic/proteomic components they have in common or are unique. Towards this goal, we analyzed 494 complete Pseudomonas proteomes and identified 297 core-orthologues. The subsequent phylogenomic analysis revealed two well-defined species (Pseudomonas aeruginosa and Pseudomonas chlororaphis) and four wider phylogenetic groups (Pseudomonas fluorescens, Pseudomonas stutzeri, Pseudomonas syringae, Pseudomonas putida) with a sufficient number of proteomes. As expected, the genus-level core proteome was highly enriched for proteins involved in metabolism, translation, and transcription. In addition, between 39–70% of the core proteins in each group had a significant presence in each of all the other groups. Group-specific core proteins were also identified, with P. aeruginosa having the highest number of these and P. fluorescens having none. We identified several P. aeruginosa-specific core proteins (such as CntL, CntM, PlcB, Acp1, MucE, SrfA, Tse1, Tsi2, Tse3, and EsrC) that are known to play an important role in its pathogenicity. Finally, a holin family bacteriocin and a mitomycin-like biosynthetic protein were found to be core-specific for P. cholororaphis and we hypothesize that these proteins may confer a competitive advantage against other root-colonizers.</jats:p

    A new resource to understand how countries have responded to COVID-19

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    Some countries have been better positioned to limit the spread of COVID-19 than others. Roosa Tikkanen, Ana Djordjevic, Reginald D Williams II (Commonwealth Fund) and George A Wharton and Elias Mossialos (LSE) introduce the 2020 International Profiles of Health Care Systems, which help to understand how 20 countries, including Germany, Norway and Taiwan, have made decisions about health care

    Of shepherds, sheep and sheepdogs?: governing the adherent self through complementary and competing ‘pastorates’

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    Foucault’s concept of ‘pastoral power’ describes an important technique for constituting obedient subjects. Derived from his analysis of the Christian pastorate, he saw pastoral power as a prelude to contemporary technologies of governing ‘beyond the State’, where ‘experts’ shepherd self-governing subjects. However, the specific practices of modern pastorate have been little developed. This papers examines the relational practices of pastoral power associated with the government of medicine use within the English healthcare system. The study shows how multiple pastors align their complimentary and variegated practices to conduct behaviours, but also how pastors compete for legitimacy, and face resistance through the mobilisation of alternate discourses and the strategic exploitation of pastoral competition. The paper offers a dynamic view of the modern pastorate within the contemporary assemblages of power

    The Complex Evolutionary History of Aminoacyl-tRNA Synthetases

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    Aminoacyl-tRNA synthetases (AARSs) are a superfamily of enzymes responsible for the faithful translation of the genetic code and have lately become a prominent target for synthetic biologists. Our large-scale analysis of \u3e2500 prokaryotic genomes reveals the complex evolutionary history of these enzymes and their paralogs, in which horizontal gene transfer played an important role. These results show that a widespread belief in the evolutionary stability of this superfamily is misconceived. Although AlaRS, GlyRS, LeuRS, IleRS, ValRS are the most stable members of the family, GluRS, LysRS and CysRS often have paralogs, whereas AsnRS, GlnRS, PylRS and SepRS are often absent from many genomes. In the course of this analysis, highly conserved protein motifs and domains within each of the AARS loci were identified and used to build a web-based computational tool for the genome-wide detection of AARS coding sequences. This is based on hidden Markov models (HMMs) and is available together with a cognate database that may be used for specific analyses. The bioinformatics tools that we have developed may also help to identify new antibiotic agents and targets using these essential enzymes. These tools also may help to identify organisms with alternative pathways that are involved in maintaining the fidelity of the genetic code

    Telling stories about European Union Health Law: The emergence of a new field of law

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    The ideational narrative power of law has now solidified, and continues to solidify, ‘European Union health law’, into an entity with a distinctive legal identity. EU health law was previously seen as either non-existent, or so broad as to be meaningless, or as existing only in relations between EU law and health (the ‘and’ approach), or as consisting of a body of barely or loosely connected policy domains (the ‘patchwork’ approach). The process of bringing EU health law into being is a process of narration. The ways in which EU health law is narrated (and continues to be narrated) involve three main groups of actors: the legislature, courts and the academy

    Structural equation model for estimating risk factors in type 2 diabetes mellitus in a Middle Eastern setting: evidence from the STEPS Qatar.

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    AIMS: Understanding type 2 diabetes mellitus is critical for designing effective diabetes prevention policies in Qatar and the Middle East. METHODS: Using the Qatar 2012 WHO STEPwise approach to surveillance survey, a subsample of 1224 Qatari participants aged 18-64 years was selected. Subjects had their fasting blood glucose levels tested, had not been diagnosed with or treated for diabetes, had a fasting time >12 hours and were not pregnant. We applied a hypothesized structural equation model (SEM) to assess sociodemographic, behavioral, anthropometric and metabolic variables affecting persons with type 2 diabetes mellitus. RESULTS: There is a direct effect of triglyceride levels (0.336) and body mass index (BMI) (0.164) on diabetes status. We also found that physical activity levels negatively affect BMI (-0.148) and positively affect high-density lipoprotein (HDL) (0.106); sociodemographic background negatively affects diet (-0.522) and BMI (-0.352); HDL positively affects total cholesterol (0.230) and has a negative effect on BMI (-0.108), triglycerides (-0.128) and waist circumference (-0.104). Diet has a positive effect on triglycerides (0.281) while family history of diabetes negatively affects total cholesterol (-0.104). BMI has a positive effect on waist circumference (0.788) and mediates the effects of physical activity over diabetes status (-0.028). BMI also mediates the effects that sociodemographic factors (-0.058) and physical activity (-0.024) have on diabetes status. BMI and HDL (-0.002) together mediate the effect of physical activity on diabetes status and similarly HDL and tryglycerides (-0.005) also mediate the effect of physical activity on diabetes status. Finally diet and tryglycerides mediate the effects that sociodemographic factors have on diabetes status (-0.049). CONCLUSIONS: This study's main finding is that triglyceride levels and BMI are the main variables directly affecting diabetes status in the Qatari population

    Mapping factors that affect the uptake of digital therapeutics within health systems: scoping review

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    BACKGROUND: Digital therapeutics are patient-facing digital health interventions that can significantly alter the health care landscape. Despite digital therapeutics being used to successfully treat a range of conditions, their uptake in health systems remains limited. Understanding the full spectrum of uptake factors is essential to identify ways in which policy makers and providers can facilitate the adoption of effective digital therapeutics within a health system, as well as the steps developers can take to assist in the deployment of products. OBJECTIVE: In this review, we aimed to map the most frequently discussed factors that determine the integration of digital therapeutics into health systems and practical use of digital therapeutics by patients and professionals. METHODS: A scoping review was conducted in MEDLINE, Web of Science, Cochrane Database of Systematic Reviews, and Google Scholar. Relevant data were extracted and synthesized using a thematic analysis. RESULTS: We identified 35,541 academic and 221 gray literature reports, with 244 (0.69%) included in the review, covering 35 countries. Overall, 85 factors that can impact the uptake of digital therapeutics were extracted and pooled into 5 categories: policy and system, patient characteristics, properties of digital therapeutics, characteristics of health professionals, and outcomes. The need for a regulatory framework for digital therapeutics was the most stated factor at the policy level. Demographic characteristics formed the most iterated patient-related factor, whereas digital literacy was considered the most important factor for health professionals. Among the properties of digital therapeutics, their interoperability across the broader health system was most emphasized. Finally, the ability to expand access to health care was the most frequently stated outcome measure. CONCLUSIONS: The map of factors developed in this review offers a multistakeholder approach to recognizing the uptake factors of digital therapeutics in the health care pathway and provides an analytical tool for policy makers to assess their health system's readiness for digital therapeutics
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