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  • 2014Journal Article Research Paper
    [["dc.bibliographiccitation.artnumber","e96875"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","PLOS ONE"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Schwedhelm, Edzard"],["dc.contributor.author","Wallaschofski, Henri"],["dc.contributor.author","Atzler, Dorothee"],["dc.contributor.author","Dörr, Marcus"],["dc.contributor.author","Nauck, Matthias"],["dc.contributor.author","Volker, Uwe"],["dc.contributor.author","Kroemer, Heyo K."],["dc.contributor.author","Volzke, Henry"],["dc.contributor.author","Böger, Rainer H."],["dc.contributor.author","Friedrich, Nele"],["dc.date.accessioned","2018-08-15T06:50:42Z"],["dc.date.available","2018-08-15T06:50:42Z"],["dc.date.issued","2014"],["dc.description.abstract","BACKGROUND: L-Arginine and its dimethylated derivatives asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA) have been associated with cardiovascular (CV) and all-cause mortality in populations at risk. The present study aimed to investigate the prognostic value of L-arginine and its derivatives in the general population. METHODS AND RESULTS: We evaluated 3,952 individuals (1,936 men and 2,016 women) aged 20-81 (median (IQR) 51 (37; 64) years) from the population-based Study of Health in Pomerania (SHIP). Associations of continuous [per standard deviation (SD) increase] and categorized (age- and sex-specific tertiles) serum L-arginine, ADMA, and SDMA concentrations with all-cause and cause-specific mortality were analysed. During a median (IQR) follow-up period of 10.1 (9.3; 10.8) years (38,476 person-years), 426 deaths (10.8%) were observed, including 139 CV deaths (3.5%), and 150 cancer deaths (3.8%). After multivariable adjustment, we revealed a positive association of SDMA with all-cause [hazard ratio (HR) per SD increase: 1.16, 95% confidence interval (CI): 1.07-1.25] and CV mortality [HR: 1.19, 95% CI: 1.05-1.35]. In contrast, we did not observe any association of SDMA with cancer mortality. Neither L-arginine nor ADMA were associated with all-cause or CV mortality. CONCLUSION: SDMA, but not ADMA, is an independent predictor of all-cause and CV mortality in a large population-based cohort of European ancestry."],["dc.identifier.doi","10.1371/journal.pone.0096875"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10120"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/15305"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.eissn","1932-6203"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Incidence of all-cause and cardiovascular mortality predicted by symmetric dimethylarginine in the population-based study of health in pomerania"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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  • 2014Journal Article
    [["dc.bibliographiccitation.artnumber","144"],["dc.bibliographiccitation.journal","Journal of Translational Medicine"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Grabe, Hans Joergen"],["dc.contributor.author","Assel, Heinrich"],["dc.contributor.author","Bahls, Thomas"],["dc.contributor.author","Doerr, Marcus"],["dc.contributor.author","Endlich, Karlhans"],["dc.contributor.author","Endlich, Nicole"],["dc.contributor.author","Erdmann, Pia"],["dc.contributor.author","Ewert, Ralf"],["dc.contributor.author","Felix, Stephan B."],["dc.contributor.author","Fiene, Beate"],["dc.contributor.author","Fischer, Tobias"],["dc.contributor.author","Flessa, Steffen"],["dc.contributor.author","Friedrich, Nele"],["dc.contributor.author","Gadebusch-Bondio, Mariacarla"],["dc.contributor.author","Salazar, Manuela Gesell"],["dc.contributor.author","Hammer, Elke"],["dc.contributor.author","Haring, Robin"],["dc.contributor.author","Havemann, Christoph"],["dc.contributor.author","Hecker, Michael"],["dc.contributor.author","Hoffmann, Wolfgang"],["dc.contributor.author","Holtfreter, Birte"],["dc.contributor.author","Kacprowski, Tim"],["dc.contributor.author","Klein, Kathleen"],["dc.contributor.author","Kocher, Thomas"],["dc.contributor.author","Kock, Holger"],["dc.contributor.author","Krafczyk, Janina"],["dc.contributor.author","Kuhn, Jana"],["dc.contributor.author","Langanke, Martin"],["dc.contributor.author","Lendeckel, Uwe"],["dc.contributor.author","Lerch, Markus M."],["dc.contributor.author","Lieb, Wolfgang"],["dc.contributor.author","Lorbeer, Roberto"],["dc.contributor.author","Mayerle, Julia"],["dc.contributor.author","Meissner, Konrad"],["dc.contributor.author","Schwabedissen, Henriette E. Meyer zu"],["dc.contributor.author","Nauck, Matthias"],["dc.contributor.author","Ott, Konrad"],["dc.contributor.author","Rathmann, Wolfgang"],["dc.contributor.author","Rettig, Rainer"],["dc.contributor.author","Richardt, Claudia"],["dc.contributor.author","Salje, Karen"],["dc.contributor.author","Schminke, Ulf"],["dc.contributor.author","Schulz, Andrea"],["dc.contributor.author","Schwab, Matthias"],["dc.contributor.author","Siegmund, Werner"],["dc.contributor.author","Stracke, Sylvia"],["dc.contributor.author","Suhre, Karsten"],["dc.contributor.author","Ueffing, Marius"],["dc.contributor.author","Ungerer, Saskia"],["dc.contributor.author","Voelker, Uwe"],["dc.contributor.author","Voelzke, Henry"],["dc.contributor.author","Wallaschofski, Henri"],["dc.contributor.author","Werner, Vivian"],["dc.contributor.author","Zygmunt, Marek T."],["dc.contributor.author","Kroemer, Heyo K."],["dc.date.accessioned","2018-11-07T09:39:59Z"],["dc.date.available","2018-11-07T09:39:59Z"],["dc.date.issued","2014"],["dc.description.abstract","Background: Individualized Medicine aims at providing optimal treatment for an individual patient at a given time based on his specific genetic and molecular characteristics. This requires excellent clinical stratification of patients as well as the availability of genomic data and biomarkers as prerequisites for the development of novel diagnostic tools and therapeutic strategies. The University Medicine Greifswald, Germany, has launched the \"Greifswald Approach to Individualized Medicine\" (GANI_MED) project to address major challenges of Individualized Medicine. Herein, we describe the implementation of the scientific and clinical infrastructure that allows future translation of findings relevant to Individualized Medicine into clinical practice. Methods/design: Clinical patient cohorts (N > 5,000) with an emphasis on metabolic and cardiovascular diseases are being established following a standardized protocol for the assessment of medical history, laboratory biomarkers, and the collection of various biosamples for bio-banking purposes. A multi-omics based biomarker assessment including genome-wide genotyping, transcriptome, metabolome, and proteome analyses complements the multi-level approach of GANI_MED. Comparisons with the general background population as characterized by our Study of Health in Pomerania (SHIP) are performed. A central data management structure has been implemented to capture and integrate all relevant clinical data for research purposes. Ethical research projects on informed consent procedures, reporting of incidental findings, and economic evaluations were launched in parallel."],["dc.identifier.doi","10.1186/1479-5876-12-144"],["dc.identifier.isi","000338469800002"],["dc.identifier.pmid","24886498"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10153"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/33415"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prĂĽfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1479-5876"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Cohort profile: Greifswald approach to individualized medicine (GANI_MED)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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