93 research outputs found

    Rapid Diagnostic Algorithms as a Screening Tool for Tuberculosis: An Assessor Blinded Cross-Sectional Study

    Get PDF
    Background: A major obstacle to effectively treat and control tuberculosis is the absence of an accurate, rapid, and low-cost diagnostic tool. A new approach for the screening of patients for tuberculosis is the use of rapid diagnostic classification algorithms. Methods: We tested a previously published diagnostic algorithm based on four biomarkers as a screening tool for tuberculosis in a Central European patient population using an assessor-blinded cross-sectional study design. In addition, we developed an improved diagnostic classification algorithm based on a study population at a tertiary hospital in Vienna, Austria, by supervised computational statistics. Results: The diagnostic accuracy of the previously published diagnostic algorithm for our patient population consisting of 206 patients was 54% (CI: 47%–61%). An improved model was constructed using inflammation parameters and clinical information. A diagnostic accuracy of 86% (CI: 80%–90%) was demonstrated by 10-fold cross validation. An alternative model relying solely on clinical parameters exhibited a diagnostic accuracy of 85% (CI: 79%–89%). Conclusion: Here we show that a rapid diagnostic algorithm based on clinical parameters is only slightly improved by inclusion of inflammation markers in our cohort. Our results also emphasize the need for validation of new diagnostic algorithms in different settings and patient populations

    Enzymatic Activities and DNA Substrate Specificity of Mycobacterium tuberculosis DNA Helicase XPB

    Get PDF
    XPB, also known as ERCC3 and RAD25, is a 3′→5′ DNA repair helicase belonging to the superfamily 2 of helicases. XPB is an essential core subunit of the eukaryotic basal transcription factor complex TFIIH. It has two well-established functions: in the context of damaged DNA, XPB facilitates nucleotide excision repair by unwinding double stranded DNA (dsDNA) surrounding a DNA lesion; while in the context of actively transcribing genes, XPB facilitates initiation of RNA polymerase II transcription at gene promoters. Human and other eukaryotic XPB homologs are relatively well characterized compared to conserved homologs found in mycobacteria and archaea. However, more insight into the function of bacterial helicases is central to understanding the mechanism of DNA metabolism and pathogenesis in general. Here, we characterized Mycobacterium tuberculosis XPB (Mtb XPB), a 3′→5′ DNA helicase with DNA-dependent ATPase activity. Mtb XPB efficiently catalyzed DNA unwinding in the presence of significant excess of enzyme. The unwinding activity was fueled by ATP or dATP in the presence of Mg2+/Mn2+. Consistent with the 3′→5′ polarity of this bacterial XPB helicase, the enzyme required a DNA substrate with a 3′ overhang of 15 nucleotides or more. Although Mtb XPB efficiently unwound DNA model substrates with a 3′ DNA tail, it was not active on substrates containing a 3′ RNA tail. We also found that Mtb XPB efficiently catalyzed ATP-independent annealing of complementary DNA strands. These observations significantly enhance our understanding of the biological roles of Mtb XPB

    Architectures and biogenesis of non-flagellar protein appendages in Gram-negative bacteria

    Get PDF
    Bacteria commonly expose non-flagellar proteinaceous appendages on their outer surfaces. These extracellular structures, called pili or fimbriae, are employed in attachment and invasion, biofilm formation, cell motility or protein and DNA transport across membranes. Over the past 15 years, the power of molecular and structural techniques has revolutionalized our understanding of the biogenesis, structure, function and mode of action of these bacterial organelles. Here, we review the five known classes of Gram-negative non-flagellar appendages from a biosynthetic and structural point of view

    Probiotic characterization of lactic acid bacteria isolated from swine intestine

    No full text
    Aim: A study was conducted with the objective to isolate probiotic microorganisms from swine intestine. Materials and Methods: In this study 63 isolates (24 caeca, 24 colon mucosal scrapings, and 15 rectal swab samples) were collected from Large White Yorkshire pigs. The isolates were inoculated and grown in de Man Rogosa Sharpe broth at 37°C with 5% CO2 for 48 h and subjected to morphological identification. Colonies having Gram-positive rods were selected for further physiological and biochemical identification tests, which were conducted in triplicate in two runs for each of the selected isolates using a standard protocol. Probiotic properties among the identified species were determined through the implementation of several tests related with pH tolerance, bile tolerance, and antimicrobial activity. Results: Morphological identification revealed that only 23 isolates were Gram-positive rods. Physiological tests performed on these 23 isolates further revealed that four of them did not exhibit any growth, at all conditions studied. The rest 19 isolates were, therefore, selected and subjected to biochemical tests. Six isolates were rejected because they were oxidase and nitrate reduction positive. From the 13 isolates subjected to sugar fermentation tests, speciation of only two isolates could be ascertained, one of the isolates showed characteristics for Lactobacillus acidophilus and the other for Lactobacillus plantarum. These two isolates were assessed for the strain possessing maximum probiotic property, and it was inferred that both - L. plantarum and L. acidophilus could tolerate a wide pH range (2-9), a wide bile concentration (0.05-0.3%) and revealed antimicrobial activity toward Escherichia coli, and Enterobacter spp. Conclusion: L. plantarum and L. acidophilus were isolated from swine intestine and were found to have good probiotic properties

    Adaptive Filters Based on Tapped Cascaded Allpass Sections

    No full text
    A novel structure called tapped cascaded adaptive allpass filter is proposed. It is basically an adaptive finite impulse response (AFIR) filter where the delays are replaced by allpass filters. The system induces a better stability monitoring mechanism than in a generic adaptive infinite impulse (AIIR) filter. Two adaptation algorithms are derived. The first one is for adapting the tap-weights when the allpass filter coefficients are fixed. The second technique adapts the allpass filter coefficients in the least mean square sense. By tuning to appropriate values for poles (or zeros) in the allpass filters, we reduce the number of taps substantially compared to AFIR filter. Fast convergence and low complexity compared to AFIR filters indicate that the new structure is a potential candidate for many practical adaptive filtering applications. 1. INTRODUCTION Adaptive finite impulse response (AFIR) filters find applications in a variety of signal processing problems [1, 2, 3], such as sys..
    • …
    corecore