Wang, L.* ; Zhang, Y.* ; Liu, X.* ; Zhao, X.* ; Ouyang, Y.* ; Qiu, G.* ; Lv, W.* ; Zheng, F.* ; Wang, Q.* ; Lu, X.* ; Peng, X.* ; Wu, T.* ; Lehmann, R. ; Wang, C.* ; Jia, W.* ; Xu, G.*
     
 
    
        
Metabolite triplet in serum improves the diagnostic accuracy of prediabetes and diabetes screening.
    
    
        
    
    
        
        J. Proteome Res. 20, 1005-1014 (2021)
    
    
		
		
		  DOI
 DOI
		  PMC
 PMC
		
		
		
		  
		
		
			Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
		
     
    
		
		
			
				Large-scale population screenings are not feasible by applying laborious oral glucose tolerance tests, but using fasting blood glucose (FPG) and glycated hemoglobin (HbA1c), a considerable number of diagnoses are missed. A novel marker is urgently needed to improve the diagnostic accuracy of broad-scale diabetes screening in easy-to-collect blood samples. In this study, by applying a novel knowledge-based, multistage discovery and validation strategy, we scaled down from 108 diabetes-associated metabolites to a diagnostic metabolite triplet (Met-T), namely hexose, 2-hydroxybutyric/2-hydroxyisobutyric acid, and phenylalanine. Met-T showed in two independent cohorts, each comprising healthy controls, prediabetic, and diabetic individuals, distinctly higher diagnostic sensitivities for diabetes screening than FPG alone (>79.6 vs <68%). Missed diagnoses decreased from >32% using fasting plasma glucose down to <20.4%. Combining Met-T and fasting plasma glucose further improved the diagnostic accuracy. Additionally, a positive association of Met-T with future diabetes risk was found (odds ratio: 1.41; p = 1.03 × 10-6). The results reveal that missed prediabetes and diabetes diagnoses can be markedly reduced by applying Met-T alone or in combination with FPG and it opens perspectives for higher diagnostic accuracy in broad-scale diabetes-screening approaches using easy to collect sample materials.
			
			
				
			
		 
		
			
				
					
					Impact Factor
					Scopus SNIP
					Web of Science
Times Cited
					Scopus
Cited By
					
					Altmetric
					
				 
				
			 
		 
		
     
    
        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
        Typ der Hochschulschrift
        
    
 
    
        Herausgeber
        
    
    
        Schlagwörter
        Diabetes Screening ; Liquid Chromatography-mass Spectrometry ; Metabolite Markers ; Metabolomics ; Prediction Of Diabetes Risk; Impaired Fasting Glucose; Plasma-glucose; Metabolomics; Risk; Hyperglycemia; Biomarkers; Tolerance; Fructose; China; A1c
    
 
    
        Keywords plus
        
    
 
    
    
        Sprache
        englisch
    
 
    
        Veröffentlichungsjahr
        2021
    
 
    
        Prepublished im Jahr 
        2020
    
 
    
        HGF-Berichtsjahr
        2020
    
 
    
    
        ISSN (print) / ISBN
        1535-3893
    
 
    
        e-ISSN
        1535-3907
    
 
    
        ISBN
        
    
 
    
        Bandtitel
        
    
 
    
        Konferenztitel
        
    
 
	
        Konferzenzdatum
        
    
     
	
        Konferenzort
        
    
 
	
        Konferenzband
        
    
 
     
		
    
        Quellenangaben
        
	    Band: 20,  
	    Heft: 1,  
	    Seiten: 1005-1014 
	    Artikelnummer: ,  
	    Supplement: ,  
	
    
 
  
        
            Reihe
            
        
 
        
            Verlag
            American Chemical Society (ACS)
        
 
        
            Verlagsort
            1155 16th St, Nw, Washington, Dc 20036 Usa
        
 
	
        
            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
    
 
     
    
        POF Topic(s)
        90000 - German Center for Diabetes Research
    
 
    
        Forschungsfeld(er)
        Helmholtz Diabetes Center
    
 
    
        PSP-Element(e)
        G-502400-001
    
 
    
        Förderungen
        innovation program of science and research from the DICP, CAS
National Key Research and Development Program of China
key foundation from the National Natural Science Foundation of China
National Natural Science Foundation of China
    
 
    
        Copyright
        
    
 	
    
    
    
    
    
        Erfassungsdatum
        2021-01-12