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Riedl, A. ; Hillesheim, E.* ; Wawro, N. ; Meisinger, C. ; Peters, A. ; Roden, M.* ; Kronenberg, F.* ; Herder, C.* ; Rathmann, W.* ; Voelzke, H.* ; Reincke, M.* ; Koenig, W.* ; Wallaschofski, H.* ; Daniel, H.* ; Hauner, H* ; Brennan, L.* ; Linseisen, J.

Evaluation of the metabotype concept identified in an Irish population in the German KORA cohort study.

Mol. Nutr. Food Res. 64:1900918 (2020)
Verlagsversion Postprint Forschungsdaten DOI
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
Scope: Previous work identified three metabolically homogeneous subgroups of individuals (“metabotypes”) using k-means cluster analysis based on fasting serum levels of triacylglycerol, total cholesterol, HDL cholesterol, and glucose. The aim is to reproduce these findings and describe metabotype groups by dietary habits and by incident disease occurrence. Methods and results: 1744 participants from the KORA F4 study and 2221 participants from the KORA FF4 study are assigned to the three metabotype clusters previously identified by minimizing the Euclidean distances. In both KORA studies, the assignment of participants results in three metabolically distinct clusters, with cluster 3 representing the group of participants with the most unfavorable metabolic characteristics. Individuals of cluster 3 are further characterized by the highest incident disease occurrence during follow-up; they also reveal the most unfavorable diet with significantly lowest intakes of vegetables, dairy products, and fibers, and highest intakes of total, red, and processed meat. Conclusion: The three metabotypes originally identified in an Irish population are successfully reproduced. In addition to this validation approach, the observed differences in disease incidence across metabotypes represent an important new finding that strongly supports the metabotyping approach as a tool for risk stratification.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Cardiometabolic Diseases ; Diet ; Enable Cluster ; Metabolic Phenotypes ; Metabotypes; Personalized Nutrition; Health; Part; Diet
ISSN (print) / ISBN 1613-4125
e-ISSN 1613-4133
Quellenangaben Band: 64, Heft: 8, Seiten: , Artikelnummer: 1900918 Supplement: ,
Verlag Wiley
Verlagsort 111 River St, Hoboken 07030-5774, Nj Usa
Begutachtungsstatus Peer reviewed