27 research outputs found

    Detection of macrolide and disinfectant resistance genes in clinical Staphylococcus aureus and coagulase-negative staphylococci

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    <p>Abstract</p> <p>Background</p> <p><it>Staphylococcus aureus </it>and Coagulase-negative staphylococci (CoNS) are a major source of infections associated with indwelling medical devices. Many antiseptic agents are used in hygienic handwash to prevent nosocomial infections by Staphylococci. Our aim was to determine the antibiotic susceptibility and resistance to quaternary ammonium compound of 46 <it>S. aureus </it>strains and 71 CoNS.</p> <p>Methods</p> <p><it>S. aureus </it>(n = 46) isolated from auricular infection and CoNS (n = 71), 22 of the strains isolated from dialysis fluids and 49 of the strains isolated from needles cultures were investigated. Erythromycin resistance genes (<it>erm</it>A, <it>erm</it>B, <it>erm</it>C, <it>msr</it>A and <it>mef</it>) were analysed by multiplex PCR and disinfectant-resistant genes (<it>qac</it>A, <it>qac</it>B, and <it>qac</it>C) were studied by PCR-RFLP.</p> <p>Results</p> <p>The frequency of erythromycin resistance genes in <it>S. aureus </it>was: <it>erm</it>A+ 7.7%, <it>erm</it>B+ 13.7%, <it>erm</it>C+ 6% and <it>msr</it>A+ 10.2%. In addition, the number of positive isolates in CoNS was respectively <it>erm</it>A+ (9.4%), <it>erm</it>B+ (11.1%), <it>erm</it>C+ (27.4%), and <it>msr</it>A+ (41%). The MIC analyses revealed that 88 isolates (74%) were resistant to quaternary ammonium compound-based disinfectant benzalkonium chloride (BC). 56% of the BC-resistant staphylococcus isolates have at least one of the three resistant disinfectants genes (<it>qac</it>A, <it>qac</it>B and <it>qac</it>C). Nine strains (7.7%) among the CoNS species and two <it>S. aureus </it>strains (2%) harboured the three-<it>qac </it>genes. In addition, the <it>qac</it>C were detected in 41 strains.</p> <p>Conclusions</p> <p>Multi-resistant strains towards macrolide and disinfectant were recorded. The investigation of antibiotics and antiseptic-resistant CoNS may provide crucial information on the control of nosocomial infections.</p

    Sites of persistence of Fusobacterium necrophorum and Dichelobacter nodosus: a paradigm shift in understanding the epidemiology of footrot in sheep

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    Sites of persistence of bacterial pathogens contribute to disease dynamics of bacterial diseases. Footrot is a globally important bacterial disease that reduces health and productivity of sheep. It is caused by Dichelobacter nodosus, a pathogen apparently highly specialised for feet, while Fusobacterium necrophorum, a secondary pathogen in footrot is reportedly ubiquitous on pasture. Two prospective longitudinal studies were conducted to investigate the persistence of D. nodosus and F. necrophorum in sheep feet, mouths and faeces, and in soil. Molecular tools were used to detect species, strains and communities. In contrast to the existing paradigm, F. necrophorum persisted on footrot diseased feet, and in mouths and faeces; different strains were detected in feet and mouths. D. nodosus persisted in soil and on diseased, but not healthy, feet; similar strains were detected on both healthy and diseased feet of diseased sheep. We conclude that D. nodosus and F. necrophorum depend on sheep for persistence but use different strategies to persist and spread between sheep within and between flocks. Elimination of F. necrophorum would be challenging due to faecal shedding. In contrast D. nodosus could be eliminated if all footrot-affected sheep were removed and fade out of D. nodosus occurred in the environment before re-infection of a foot

    Mutations in KEOPS-Complex Genes Cause Nephrotic Syndrome with Primary Microcephaly

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    Galloway-Mowat syndrome (GAMOS) is an autosomal-recessive disease characterized by the combination of early-onset nephrotic syndrome (SRNS) and microcephaly with brain anomalies. Here we identified recessive mutations in OSGEP, TP53RK, TPRKB, and LAGE3, genes encoding the four subunits of the KEOPS complex, in 37 individuals from 32 families with GAMOS. CRISPR-Cas9 knockout in zebrafish and mice recapitulated the human phenotype of primary microcephaly and resulted in early lethality. Knockdown of OSGEP, TP53RK, or TPRKB inhibited cell proliferation, which human mutations did not rescue. Furthermore, knockdown of these genes impaired protein translation, caused endoplasmic reticulum stress, activated DNA-damage-response signaling, and ultimately induced apoptosis. Knockdown of OSGEP or TP53RK induced defects in the actin cytoskeleton and decreased the migration rate of human podocytes, an established intermediate phenotype of SRNS. We thus identified four new monogenic causes of GAMOS, describe a link between KEOPS function and human disease, and delineate potential pathogenic mechanisms

    Genome-scale computational biology and bioinformatics in Australia

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    Australia enjoys a high international reputation for research in experimental genetics, molecular and cell biology, animal and plant sciences, biotechnology, medicine, biodiversity, and ecological modelling. Computational research is broadly established in these domain areas and others relevant to bioscience. Combined with strong traditions in mathematics and statistics, and national and state investment in computational infrastructure, computational biology Down Under is simply too rich and diverse to be done justice in these few pages. Here we (see Box 1 Authors' Biographies) focus more narrowly, attempting to provide a snapshot of bioinformatic and computational genome-scale biology in Australia circa 2008

    Technology-enhanced Professional Learning

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    Societal and technological changes are transforming the ways people work and learn. As work roles evolve, learning for work becomes continual and personalised. These transformations evidenced in work and learning practices are partly governed by advances in technology. Consideration of work practices, professional learning processes and technologies mediating work and learning within a single domain of "Technology-enhanced Professional Learning" enables analysis of the dialectical relationship between technology and practice. This chapter begins by presenting a single framework that integrates perspectives across the domains of work practices, learning processes and digital technologies. Key trends are outlined from the literature within each domain. Using a framework for TEPL as an analytical lens, emerging work and technology practices and their implications for professional learning both in and for work are examined. Finally, the chapter outlines the implications of these developments for work and learning
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