205 research outputs found

    Jahresbibliographie der Universität München. Band 10 für das Jahr 1978

    Get PDF

    Jahresbibliographie der Universität München. Band 9 für das Jahr 1977

    Get PDF

    Jahresbibliographie der Universität München. Band 6 für das Jahr 1974

    Get PDF

    Jahresbibliographie der Universität München. Band 3 für das Jahr 1971

    Get PDF

    Jahresbibliographie der Universität München. Band 4 für das Jahr 1972

    Get PDF

    Differentiating primary and secondary FSGS using non-invasive urine biomarkers

    Get PDF
    Background: Focal segmental glomerulosclerosis (FSGS) is divided into genetic, primary (p), uncertain cause, and secondary (s) forms. The subclasses differ in management and prognosis with differentiation often being challenging. We aimed to identify specific urine proteins/peptides discriminating between biopsy-proven pFSGS and sFSGS. Methods: 63 urine samples were collected in two different centers (19 pFSGS and 44 sFSGS) prior to biopsy. Samples were analyzed using capillary electrophoresis coupled mass spectrometry. For biomarker definition, datasets of age-/sex-matched normal controls (NC, n = 98) and patients with other chronic kidney diseases (CKDs, n = 100) were extracted from the urinary proteome database. Independent specificity assessment was performed in additional data of NC (n = 110) and CKD (n = 170). Results: Proteomics data from patients with pFSGS were first compared to NC (n = 98). This resulted in 1179 biomarker (P < 0.05) candidates. Then, the pFSGS group was compared to sFSGS, and in a third step, pFSGS data were compared to data from different CKD etiologies (n = 100). Finally, 93 biomarkers were identified and combined in a classifier, pFSGS93. Total cross-validation of this classifier resulted in an area under the receiving operating curve of 0.95. The specificity investigated in an independent set of NC and CKD of other etiologies was 99.1% for NC and 94.7% for CKD, respectively. The defined biomarkers are largely fragments of different collagens (49%). Conclusion: A urine peptide-based classifier that selectively detects pFSGS could be developed. Specificity of 95%-99% could be assessed in independent samples. Sensitivity must be confirmed in independent cohorts before routine clinical application

    Air drag coefficient of textile-covered elastic cylinders – preliminary aerodynamic studies

    Get PDF
    This paper presents preliminary experimental results on the influence on the aerodynamic drag of a cylinder from the cylinder type (i.e., rigid or soft) and its textile surface. Both a rigid cylinder and a soft-body cylinder, with a gelatin layer, each with five different textile surfaces were measured in the wind tunnel using force measurement technology. The drag coefficient was determined for several Reynolds numbers. The study shows that the elasticity of a cylinder has a significant influence on the drag force and the airflow type. However, the influence of the soft-body cylinder depends on the respective fabric. With the given measurements, no exact statements can yet be made to quantify the influence. This influence must be studied independently and in conjunction with the textile surface in order to gain understanding of the overall system of airflow, textile and elastic body
    corecore