30 research outputs found

    Structure-based comparative analysis and prediction of N-linked glycosylation sites in evolutionarily distant eukaryotes

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    AbstractThe asparagine-X-serine/threonine (NXS/T) motif, where X is any amino acid except proline, is the consensus motif for N-linked glycosylation. Significant numbers of high-resolution crystal structures of glycosylated proteins allow us to carry out structural analysis of the N-linked glycosylation sites (NGS). Our analysis shows that there is enough structural information from diverse glycoproteins to allow the development of rules which can be used to predict NGS. A Python-based tool was developed to investigate asparagines implicated in N-glycosylation in five species: Homo sapiens, Mus musculus, Drosophila melanogaster, Arabidopsis thaliana and Saccharomyces cerevisiae. Our analysis shows that 78% of all asparagines of NXS/T motif involved in N-glycosylation are localized in the loop/turn conformation in the human proteome. Similar distribution was revealed for all the other species examined. Comparative analysis of the occurrence of NXS/T motifs not known to be glycosylated and their reverse sequence (S/TXN) shows a similar distribution across the secondary structural elements, indicating that the NXS/T motif in itself is not biologically relevant. Based on our analysis, we have defined rules to determine NGS. Using machine learning methods based on these rules we can predict with 93% accuracy if a particular site will be glycosylated. If structural information is not available the tool uses structural prediction results resulting in 74% accuracy. The tool was used to identify glycosylation sites in 108 human proteins with structures and 2247 proteins without structures that have acquired NXS/T site/s due to non-synonymous variation. The tool, Structure Feature Analysis Tool (SFAT), is freely available to the public at http://hive.biochemistry.gwu.edu/tools/sfat

    Catamenial hemothorax in a patient with multiple sclerosis.

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    Stevenson, E. K., Sloan, K. A., Narsule, C. K., Kretschman, D. M., Sarita-Reyes, C. D., Steiling, K., & Ebright, M. I. (2014). Catamenial hemothorax in a patient with multiple sclerosis. American journal of respiratory and critical care medicine, 190(12), e69–e70. https://doi.org/10.1164/rccm.201407-1283I

    Efficacy of Ultrasonography in the Evaluation of Suspected Appendicitis in a Pediatric Population

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    The purpose of this study was to evaluate the efficacy of ultrasound (US) for the diagnosis of acute appendicitis in children. Patients and methods: We reviewed all sonograms for acute appendicitis in children suspected of having appendicitis from January 2009 to December 2012. Sonographic findings were positive when the largest axial diameters were >6 mm. The sonograms that were unable to find the appendix were classified into an other group and were considered separately. Sonographic findings were compared with surgical pathological findings or discharge diagnoses in cases of no surgery. Subgroup analysis in the surgical group, including patient age (<11 years or 11–16 years) and sex, was also performed. Results: The appendix was identified in 270/428 cases (63.1%). The overall sensitivity was 71.2% [95% confidence interval (CI): 56.9–82.9%], specificity 97.7% (95% CI: 94.7–99.3%), positive predictive value 88.1% (95% CI: 74.4–96.0%), negative predictive value 93.4% (95% CI: 89.4–96.3%), accuracy 92.6%, and receiver operating characteristic = 0.84. The specificity (47.1%), negative predictive value (61.5%), and accuracy (76.3%) were significantly lower in the surgical group. The efficacy of US between the sexes and age groups showed no significant difference, except the lower positive predictive values in the younger age group. Conclusion: US efficacy for the diagnosis of appendicitis in children is high enough to use as an imaging modality of first choice to reduce complications, hospital stay, and negative appendectomy rate
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