Floegel, A.* ; Kühn, T.* ; Sookthai, D.* ; Johnson, T.* ; Prehn, C. ; Rolle-Kampczyk, U.E.* ; Otto, W.* ; Weikert, C.* ; Illig, T.* ; von Bergen, M.* ; Adamski, J. ; Boeing, H.* ; Kaaks, R.* ; Pischon, T.*
     
 
    
        
Serum metabolites and risk of myocardial infarction and ischemic stroke: A targeted metabolomic approach in two German prospective cohorts.
    
    
        
    
    
        
        Eur. J. Epidemiol. 33, 55–66 (2018)
    
    
    
		
		
			
				Metabolomic approaches in prospective cohorts may offer a unique snapshot into early metabolic perturbations that are associated with a higher risk of cardiovascular diseases (CVD) in healthy people. We investigated the association of 105 serum metabolites, including acylcarnitines, amino acids, phospholipids and hexose, with risk of myocardial infarction (MI) and ischemic stroke in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam (27,548 adults) and Heidelberg (25,540 adults) cohorts. Using case-cohort designs, we measured metabolites among individuals who were free of CVD and diabetes at blood draw but developed MI (n = 204 and n = 228) or stroke (n = 147 and n = 121) during follow-up (mean, 7.8 and 7.3 years) and among randomly drawn subcohorts (n = 2214 and n = 770). We used Cox regression analysis and combined results using meta-analysis. Independent of classical CVD risk factors, ten metabolites were associated with risk of MI in both cohorts, including sphingomyelins, diacyl-phosphatidylcholines and acyl-alkyl-phosphatidylcholines with pooled relative risks in the range of 1.21-1.40 per one standard deviation increase in metabolite concentrations. The metabolites showed positive correlations with total- and LDL-cholesterol (r ranged from 0.13 to 0.57). When additionally adjusting for total-, LDL- and HDL-cholesterol, triglycerides and C-reactive protein, acyl-alkyl-phosphatidylcholine C36:3 and diacyl-phosphatidylcholines C38:3 and C40:4 remained associated with risk of MI. When added to classical CVD risk models these metabolites further improved CVD prediction (c-statistics increased from 0.8365 to 0.8384 in EPIC-Potsdam and from 0.8344 to 0.8378 in EPIC-Heidelberg). None of the metabolites was consistently associated with stroke risk. Alterations in sphingomyelin and phosphatidylcholine metabolism, and particularly metabolites of the arachidonic acid pathway are independently associated with risk of MI in healthy adults.
			
			
				
			
		 
		
			
				
					
					Impact Factor
					Scopus SNIP
					Web of Science
Times Cited
					Scopus
Cited By
					
					Altmetric
					
				 
				
			 
		 
		
     
    
        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
        Typ der Hochschulschrift
        
    
 
    
        Herausgeber
        
    
    
        Schlagwörter
        Metabolomics ; Myocardial Infarction ; Stroke ; Biomarker ; Prospective Cohort Study; Coronary-artery-disease; Plasma Sphingomyelin Levels; Cardiovascular-disease; Knockout Mice; Epic-germany; Events; Atherosclerosis; Lysophosphatidylcholine; Lipoproteins; Discovery
    
 
    
        Keywords plus
        
    
 
    
    
        Sprache
        englisch
    
 
    
        Veröffentlichungsjahr
        2018
    
 
    
        Prepublished im Jahr 
        2017
    
 
    
        HGF-Berichtsjahr
        2017
    
 
    
    
        ISSN (print) / ISBN
        0393-2990
    
 
    
        e-ISSN
        1573-7284
    
 
    
        ISBN
        
    
 
    
        Bandtitel
        
    
 
    
        Konferenztitel
        
    
 
	
        Konferzenzdatum
        
    
     
	
        Konferenzort
        
    
 
	
        Konferenzband
        
    
 
     
		
    
        Quellenangaben
        
	    Band: 33,  
	    Heft: 1,  
	    Seiten: 55–66 
	    Artikelnummer: ,  
	    Supplement: ,  
	
    
 
  
        
            Reihe
            
        
 
        
            Verlag
            Springer
        
 
        
            Verlagsort
            Dordrecht
        
 
	
        
            Tag d. mündl. Prüfung
            0000-00-00
        
 
        
            Betreuer
            
        
 
        
            Gutachter
            
        
 
        
            Prüfer
            
        
 
        
            Topic
            
        
 
	
        
            Hochschule
            
        
 
        
            Hochschulort
            
        
 
        
            Fakultät
            
        
 
    
        
            Veröffentlichungsdatum
            0000-00-00
        
 
         
        
            Anmeldedatum
            0000-00-00
        
 
        
            Anmelder/Inhaber
            
        
 
        
            weitere Inhaber
            
        
 
        
            Anmeldeland
            
        
 
        
            Priorität
            
        
 
    
        Begutachtungsstatus
        Peer reviewed
    
 
    
        Institut(e)
        Molekulare Endokrinologie und Metabolismus (MEM)
    
 
    
        POF Topic(s)
        30201 - Metabolic Health
    
 
    
        Forschungsfeld(er)
        Genetics and Epidemiology
    
 
    
        PSP-Element(e)
        G-505600-003
    
 
    
        Förderungen
        
    
 
    
        Copyright
        
    
 	
    
    
    
    
    
        Erfassungsdatum
        2017-11-29