Floegel, A.* ; von Ruesten, A.* ; Drogan, D.* ; Schulze, M.B.* ; Prehn, C. ; Adamski, J. ; Pischon, T.* ; Boeing, H.*
Variation of serum metabolites related to habitual diet: A targeted metabolomic approach in EPIC-Potsdam.
Eur. J. Clin. Nutr. 67, 1100-1108 (2013)
BACKGROUND/OBJECTIVE:Serum metabolites have been linked to higher risk of chronic diseases but determinants of serum metabolites are not clear. We aimed to investigate the association between habitual diet as a modifiable risk factor and relevant serum metabolites.SUBJECTS/METHODS:This cross-sectional study comprised 2380 EPIC-Potsdam participants. Intake of 45 food groups was assessed by food frequency questionnaire and concentrations of 127 serum metabolites were measured by targeted metabolomics. Reduced rank regression was used to find dietary patterns that explain the maximum variation of metabolites.RESULTS:In the multivariable-adjusted model, the proportion of explained variation by habitual diet was ranked as follows: acyl-alkyl-phosphatidylcholines (5.7%), sphingomyelins (5.1%), diacyl-phosphatidylcholines (4.4%), lyso-phosphatidylcholines (4.1%), acylcarnitines (3.5%), amino acids (2.2%) and hexose (1.6%). A pattern with high intake of butter and low intake of margarine was related to acylcarnitines, acyl-alkyl-phosphatidylcholines, lyso-phosphatidylcholines and hydroxy-sphingomyelins, particularly with saturated and monounsaturated fatty acid side chains. A pattern with high intake of red meat and fish and low intake of whole-grain bread and tea was related to hexose and phosphatidylcholines. A pattern consisting of high intake of potatoes, dairy products and cornflakes particularly explained methionine and branched chain amino acids. Dietary patterns related to type 2 diabetes-relevant metabolites included high intake of red meat and low intake of whole-grain bread, tea, coffee, cake and cookies, canned fruits and fish.CONCLUSIONS:Dietary patterns characterized by intakes of red meat, whole-grain bread, tea and coffee were linked to relevant metabolites and could be potential targets for chronic disease prevention.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publication type
Article: Journal article
Document type
Scientific Article
Thesis type
Editors
Keywords
Metabolomics ; Metabolites ; Diet ; Food Intake ; Reduced Rank Regression ; Systems Epidemiology; Coronary-heart-disease ; Nutrition (epic)-potsdam ; Cardiovascular-disease ; Insulin-resistance ; German Part ; Food ; Risk ; Patterns ; Mechanisms ; Cancer
Keywords plus
Language
Publication Year
2013
Prepublished in Year
HGF-reported in Year
2013
ISSN (print) / ISBN
0954-3007
e-ISSN
1476-5640
ISBN
Book Volume Title
Conference Title
Conference Date
Conference Location
Proceedings Title
Quellenangaben
Volume: 67,
Issue: 10,
Pages: 1100-1108
Article Number: ,
Supplement: ,
Series
Publisher
Nature Publishing Group
Publishing Place
Day of Oral Examination
0000-00-00
Advisor
Referee
Examiner
Topic
University
University place
Faculty
Publication date
0000-00-00
Application date
0000-00-00
Patent owner
Further owners
Application country
Patent priority
Reviewing status
Peer reviewed
POF-Topic(s)
30201 - Metabolic Health
90000 - German Center for Diabetes Research
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-505600-001
G-501900-061
Grants
Copyright
Erfassungsdatum
2013-08-20