NSC99748

The important role of digital resources relies on whether metadata is available and has been correctly catalogued and indexed so that the user can discover and use geospatial datasets. However, the cost and the error-proneness in the manual metadata creation, the lack of information provided by the producers of geospatial datasets and the lack of experience in cataloguing have motivated us to propose a new workflow for the automated metadata generation for geospatial datasets. This paper describes this workflow based on tasks synchronization that gives support for four metadata functions: discovery, use, evaluate and retrieval of digital geodata. The workflow was implemented using a multi-tier architecture system where the Data, Application and User Tiers can run a single use application as well as web services. The prototype evaluation is discussed in terms of the type of metadata being generated and the type of metadata function being supported by the workflow

Association of Nrf2, SOD2 and GPX1 polymorphisms with biomarkers of oxidative distress and survival in end-stage renal disease patients

© 2019 by the authors. The oxidative stress response via Nuclear factor (erythroid-derived 2)-like 2 (Nrf2) interlinks inflammation- and metabolism-related pathways in chronic kidney disease. We assessed the association between polymorphisms in Nrf2, superoxide dismutase (SOD2), glutathione peroxidase (GPX1), and the risk of end-stage renal disease (ESRD). The modifying effect of these polymorphisms on both oxidative phenotype and ESRD prognosis, both independently and/or in combination with the glutathione S-transferase M1 (GSTM1) deletion polymorphism, was further analyzed. Polymorphisms in Nrf2 (rs6721961), SOD2 (rs4880), GPX1 (rs1050450), and GSTM1 were determined by PCR in 256 ESRD patients undergoing hemodialysis and 374 controls. Byproducts of oxidative stress were analyzed spectrophotometically or by ELISA. Time-to-event modeling was performed to evaluate overall survival and cardiovascular survival. The SOD2 Val/Val genotype increased ESRD risk (OR = 2.01, p = 0.002), which was even higher in combination with the GPX1 Leu/Leu genotype (OR = 3.27, p = 0.019). Polymorphism in SOD2 also showed an effect on oxidative phenotypes. Overall survival in ESRD patients was dependent on a combination of the Nrf2 (C/C) and GPX1 (Leu/Leu) genotypes in addition to a patients’ age and GSTM1 polymorphism. Similarly, the GPX1 (Leu/Leu) genotype contributed to longer cardiovascular survival. Conclusions: Our results show that SOD2, GPX1, and Nrf2 polymorphisms are associated with ESRD development and can predict survival

Association of SOD2 (Rs4880) and GPX1 (rs1050450) gene polymorphisms with risk of Balkan endemic nephropathy and its related tumors

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. T. Background: Experimental data show that superoxide dismutase 2 (SOD2) is involved in ochratoxin (OTA)-induced nephrotoxicity, whereas clinical data indicate the role of SOD2 rs4880 or glutathione peroxidase 1 (GPX1) rs1050450 polymorphisms in end-stage renal disease and urothelial carcinoma risk, known to be the major complications of Balkan endemic nephropathy (BEN). Therefore, we hypothesized that SOD2 and GPX1 gene polymorphisms would influence the risk of BEN and its associated tumors. Materials and Methods: The study was conducted in 207 BEN patients and 86 controls from endemic areas. Results: Individuals with both copies of variant SOD2 allele, known for lower mitochondrial antioxidant protection, are at a significantly higher BEN risk (OR = 2.6, p = 0.021). No association was observed between GPX1 gene polymorphism and BEN risk. Combining SOD2 and GPX1 genotypes did not alter the risk of BEN development. Regarding the risk of urothelial tumors in BEN patients, none of the polymorphisms studied was significantly associated with the risk of these tumors. Conclusions: Polymorphism in SOD2 rs4880 gene affects the risk of BEN development. Hence, SOD2 genotyping could, together with a panel of other enzymes, be used as a biomarker of susceptibility in BEN areas

Interactive Displays for the Next Generation of Entity-Centric Bibliographic Models

The model of bibliographic entities defined in the IFLA Functional Requirements for Bibliographic Records (FRBR) represents a major transition from the digital card catalog to databases containing a rich structure of entities and relationships with well-defined semantics. However, the question of how to best search and present this entitycentric bibliographic data remains a challenge. In this paper we present a system for entity-centric search and a user study on how the displays of the FRBR entities compare in their ability to support different user tasks

Markers of Oxidative Stress and Endothelial Dysfunction Predict Haemodialysis Patients Survival

© 2019 © 2019 S. Karger AG, Basel. Copyright: All rights reserved. Introduction: Overall survival of patients with end-stage renal disease (ESRD) remains poor. Oxidative stress is one of the major risk factors associated with mortality in this patient group. As glutathione S-transferases (GST) are well-established antioxidants, we hypothesized that a model including GST gene polymorphisms, oxidative damage byproducts and cell adhesion markers has a prognostic role in ESRD patient survival. Methods: A prospective study of 199 patients with ESRD on haemodialysis was conducted. GST genotype, oxidative stress byproducts and cell adhesion molecules were measured in plasma. Multivariate Cox regression and Kaplan-Meier survival analyses were performed to test the predictive ability of these parameters in the 8-year follow-up period. Results: GSTM1-null genotype was associated with significantly shorter overall (HR 1.6, p = 0.018) and cardiovascular-specific (HR 2.1, p = 0.010) survival. Oxidative stress byproducts (advanced oxidation protein products [AOPP], prooxidant-antioxidant balance [PAB], malondialdehyde [MDA]) and cell adhesion molecules (soluble vascular cell adhesion molecule-1 [sVCAM-1] and soluble intercellular adhesion molecule-1 [sICAM-1]) demonstrated a significant predictive role in terms of overall and cardiovascular survival. When 6 biomarkers (GSTM1 genotype, high AOPP/PAB/MDA/-sVCAM-1/sICAM-1) were combined into a scoring model, a significantly shorter overall and cardiovascular survival was observed for patients with the highest score (p < 0.001). Conclusion: We identified a novel panel of biomarkers that can be utilized in predicting survival in ESRD patients. This biomarker signature could enable better monitoring of patients and stratification into appropriate treatment groups