Ott, R. ; Pawlow, X. ; Weiss, A. ; Hofelich, A. ; Herbst, M. ; Hummel, N. ; Prehn, C. ; Adamski, J. ; Römisch-Margl, W. ; Kastenmüller, G. ; Ziegler, A.-G. ; Hummel, S.
     
 
    
        
Intergenerational metabolomic analysis of mothers with a history of gestational diabetes mellitus and their offspring.
    
    
        
    
    
        
        Int. J. Mol. Sci. 21:9647 (2020)
    
    
    
		
		
			
				Shared metabolomic patterns at delivery have been suggested to underlie the mother-to-child transmission of adverse metabolic health. This study aimed to investigate whether mothers with gestational diabetes mellitus (GDM) and their offspring show similar metabolomic patterns several years postpartum. Targeted metabolomics (including 137 metabolites) was performed in plasma samples obtained during an oral glucose tolerance test from 48 mothers with GDM and their offspring at a cross-sectional study visit 8 years after delivery. Partial Pearson’s correlations between the area under the curve (AUC) of maternal and offspring metabolites were calculated, yielding so-called Gaussian graphical models. Spearman’s correlations were applied to investigate correlations of body mass index (BMI), Matsuda insulin sensitivity index (ISI-M), dietary intake, and physical activity between generations, and correlations of metabolite AUCs with lifestyle variables. This study revealed that BMI, ISI-M, and the AUC of six metabolites (carnitine, taurine, proline, SM(-OH) C14:1, creatinine, and PC ae C34:3) were significantly correlated between mothers and offspring several years postpartum. Intergenerational metabolite correlations were independent of shared BMI, ISI-M, age, sex, and all other metabolites. Furthermore, creatinine was correlated with physical activity in mothers. This study suggests that there is long-term metabolic programming in the offspring of mothers with GDM and informs us about targets that could be addressed by future intervention studies.
			
			
				
			
		 
		
			
				
					
					Impact Factor
					Scopus SNIP
					Web of Science
Times Cited
					Scopus
Cited By
					
					Altmetric
					
				 
				
			 
		 
		
     
    
        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
        Typ der Hochschulschrift
        
    
 
    
        Herausgeber
        
    
    
        Schlagwörter
        Gestational Diabetes ; Intergenerational Metabolomics ; Lifestyle ; Overweight; Insulin Sensitivity Indexes; Glucose-tolerance Test; Physical-activity; Obese Children; Risk; Questionnaire; Validation
    
 
    
        Keywords plus
        
    
 
    
    
        Sprache
        englisch
    
 
    
        Veröffentlichungsjahr
        2020
    
 
    
        Prepublished im Jahr 
        
    
 
    
        HGF-Berichtsjahr
        2020
    
 
    
    
        ISSN (print) / ISBN
        1661-6596
    
 
    
        e-ISSN
        1422-0067
    
 
    
        ISBN
        
    
 
    
        Bandtitel
        
    
 
    
        Konferenztitel
        
    
 
	
        Konferzenzdatum
        
    
     
	
        Konferenzort
        
    
 
	
        Konferenzband
        
    
 
     
		
    
        Quellenangaben
        
	    Band: 21,  
	    Heft: 24,  
	    Seiten: ,  
	    Artikelnummer: 9647 
	    Supplement: ,  
	
    
 
  
        
            Reihe
            
        
 
        
            Verlag
            MDPI
        
 
        
            Verlagsort
            Basel
        
 
	
        
            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)
        30201 - Metabolic Health
30205 - Bioengineering and Digital Health
    
 
    
        Forschungsfeld(er)
        Helmholtz Diabetes Center
Genetics and Epidemiology
Enabling and Novel Technologies
    
 
    
        PSP-Element(e)
        G-502100-001
G-505600-003
G-503891-001
    
 
    
        Förderungen
        Institute of Diabetes Research, Helmholtz Zentrum Munchen, Neuherberg, Germany
German Center for Diabetes Research (DZD e.V.)
European Union's Horizon 2020 research and innovation programme
H2020 Joint Programming Initiative a Healthy Diet for a Healthy Life (JPI HDHL)
German Federal Ministry of Education and Research
    
 
    
        Copyright
        
    
 	
    
    
    
    
    
        Erfassungsdatum
        2021-02-06