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  • 1
    ISSN: 1365-2036
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Background : Post-infectious irritable bowel syndrome is a common clinical phenomenon of uncertain aetiology.Aim : To test the association between intestinal permeability and irritable bowel syndrome symptoms 2 years after a large waterborne outbreak of bacterial gastroenteritis.Methods : Consecutive adults with Rome I irritable bowel syndrome and controls without irritable bowel syndrome attending a community clinic were enrolled. Intestinal permeability was measured as the ratio of fractional urinary excretions of lactulose and mannitol, and compared among cases vs. controls and predictors of abnormal intestinal permeability were assessed.Results : A total of 218 subjects (132 irritable bowel syndrome cases and 86 non-irritable bowel syndrome controls) completed the study protocol. About 27 (12%) had been diagnosed with the irritable bowel syndrome before the outbreak and 115 (53%) had been ill during the outbreak. Lactulose–mannitol ratios were increased among cases vs. controls (Mann–Whitney mean rank 118.8 vs. 95.3, P = 0.007), and cases were more likely to have a ratio 〉0.020 (P = 0.007). Among cases, those with increased intestinal permeability were more likely to report increased stool frequency. Both irritable bowel syndrome symptoms and male gender, but not diarrhoeal illness during the outbreak, were significant predictors of abnormal permeability.Conclusions : Irritable bowel syndrome symptoms are associated with a subtle increase in intestinal permeability irrespective of prior gastroenteritis. This may improve understanding of the aetiology of both sporadic and post-infectious irritable bowel syndrome.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1471-4159
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: The involvement of β-secretase (BACE1; β-site APP-cleaving enzyme) in producing the β-amyloid component of plaques found in the brains of Alzheimer's patients, has fueled a major research effort to characterize this protease. Here, we describe work toward understanding the substrate specificity of BACE1 that began by considering the natural APP substrate and its Swedish mutant, APPSw, and proceeded on to include oxidized insulin B chain and ubiquitin substrates. From these findings, and the study of additional synthetic peptides, we determined that a decapeptide derived from APP in which the P3-P2′ sequence, …VKM-↓-DA…, was replaced by …ISY-↓-EV… (-↓- = β site of cleavage), yielded a substrate that was cleaved by BACE1 seven times faster than the corresponding APPSw peptide, SEVNL-↓-DAEFR. The expanded peptide, GLTNIKTEEISEISY-↓-EVEFRWKK, was cleaved an additional seven times faster than its decapeptide counterpart (boldface), and provides a substrate allowing assay of BACE1 at picomolar concentrations. Several APP mutants reflecting these β-site amino acid changes were prepared as the basis for cellular assays. The APPISYEV mutant proved to be a cellular substrate that was superior to APPSw. The assay based on APPISYEV is highly specific for measuring BACE1 activity in cells; its homolog, BACE2, barely cleaved APPISYEV at the β-site. Insertion of the optimized ISY-↓-EV motif at either the β-site (Asp1) or β′-site (Glu11) directs the rate of cellular processing of APP at these two accessible sites. Thus, we have identified optimal BACE1 substrates that will be useful to elucidate the cellular enzymatic actions of BACE1, and for design of inhibitors that might be of therapeutic benefit in Alzheimer's disease.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Bingley : Emerald
    Industrial management & data systems 104 (2004), S. 129-135 
    ISSN: 0263-5577
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Computer Science , Economics
    Notes: The failure of organizations to adopt CASE tools has been an area of interest to business researchers for over a decade. The purpose of this study is to test whether the previous research provides a basis for predicting the current adoption of CASE tools by organizations. This study uses a neural network methodology to predict CASE tool adoption using factors that were previously identified in the literature. The model consisted of six variables: IS department stability, need to improve IS department performance, use of external sources of knowledge, job rotation, pressure to reduce development time, and CASE champion. The study found that all the variables were relevant in the prediction of CASE tool adoption with an average accuracy of 71.43 percent.
    Type of Medium: Electronic Resource
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