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  • Experimental design materials and methods br Acknowledgement

    2018-11-01

    Experimental design, materials and methods
    Acknowledgements The authors would like to thank Dr. Mark A. Burns and Dr. David T. Burke for their advice and contribution to this research. This work was supported by the Gerber Foundation [Grant number R75184, 1202038].
    Data Fig. 1. shows data from quantitative analyses of LA (linoleic acid, 18:2, omega-6); ARA (arachidonic acid, 20:4, omega-6); EPA (eicosapentaenoic acid, 20:5, omega-3); DHA (docosahexaenoic acid, 22:6, omega-3) in fatty salubrinal extracts from samples with and without alcoholic saponification of E– and E+ embryos collected at 24, 48, 72, and 120 hpf. Tables 1and 2 provide detailed targeted metabolomics datasets for E– and E+ embryos collected at 24, 48, 72, and 120 hpf. Relative response intensity metabolomics data for choline and methylation pathway intermediates in E– and E+ embryos are shown in Fig. 2. Relative response intensities of antioxidant network components from metabolomic analyses, as well as quantification of α-tocopherol and ascorbic acid, in E– and E+ embryos (pmol/embryo) are shown in Fig. 3. Relative response intensities of glycolytic and tricarboxylic acid cycle intermediates in E– and E+ embryos are shown in Fig. 4. Relative response intensities of free saturated fatty acids and coenzyme A from metabolomics data in E– and E+ embryo are shown in Fig. 5. Fig. 6 shows locomotor activity data from E– and E+ embryos micro-injected into the yolksac at 0 hpf with either saline or a VitE–emulsion. Fig. 7 shows locomotor activity data from E– and E+ embryos micro-injected into the yolksac at 24hpf with either saline or D-glucose.
    Experimental design, materials and methods
    Acknowledgements The authors thank Carrie Barton, Greg Gonnerman, Andrea Knecht, Jane La Du, Scott Leonard, and Lisa Truong for providing outstanding technical assistance. National Institutes of Health Grants S10RR027878 (MGT and JFS) and NIEHSP30 ES000210 (RT) supported this work. MM was supported in part by National Science Foundation Grant DGE 0965820. H-KK sabbatical support provided by The Catholic University of Korea. MGT supported in part by the Helen P Rumbel endowment to the Linus Pauling Institute.
    Data The presented data include information on the proteins of different subcellular fractions in blood and their concentration (Table 1), and proteins masses obtained by the mass-spectroscopy (Table 2).
    Experimental design, materials and methods The experiment׳s planning, design and data processing correspond to the protocols given in Refs. [1,2].
    Acknowledgments The work is supported by the Grant no. 14.575.21.0073, code RFMEFI57514×0073 of the Ministry of Education and Science of the Russian Federation
    Data It has been mentioned in the main article [1] that there is a significant association between the creatinine to uromodulin ratio in serum of 529 coronary patients and the risk for cardiovascular events. Here, further adjustment models are provided demonstrating the predictive power of the creatinine to uromodulin ratio in serum with the risk for (A) cardiovascular events and (B) major cardiovascular events during follow up time (Fig. 1). The data summarized in Table 1 show that the prediction of cardiovascular events and major cardiovascular events is significantly higher applying an enhanced prediction model comprising the creatinine to uromodulin ratio compared to a basic model lacking the creatinine to uromodulin ratio. In contrast, an alternative prediction model comprising only creatinine did not significantly improve prediction of cardiovascular events if compared to a basic model without creatinine. The performance of all prediction models over the FU time for cardiovascular events and major cardiovascular events is depicted in Fig. 2.
    Experimental design, materials and methods
    Acknowledgments We thank the Medical Central Laboratories at the Academic Teaching Hospital Feldkirch (Feldkirch, Austria) and the Land Vorarlberg for generous financial support. We also thank Dr. Jochen Hauer from BioVendor (Brno, Czech Republic) for dynamic support. Apart from that we did not receive any further financial support or grant from funding agencies in the public, commercial, or not-for-profit sectors.