Evaluation of the Metabotype Concept Identified in an Irish Population in the German KORA Cohort Study

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 gro...

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Vydané v:Molecular nutrition & food research Ročník 64; číslo 8; s. e1900918 - n/a
Hlavní autori: Riedl, Anna, Hillesheim, Elaine, Wawro, Nina, Meisinger, Christa, Peters, Annette, Roden, Michael, Kronenberg, Florian, Herder, Christian, Rathmann, Wolfgang, Völzke, Henry, Reincke, Martin, Koenig, Wolfgang, Wallaschofski, Henri, Daniel, Hannelore, Hauner, Hans, Brennan, Lorraine, Linseisen, Jakob
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Germany Wiley Subscription Services, Inc 01.04.2020
Predmet:
blood serum
cardiometabolic diseases
Cholesterol
Cluster analysis
Cohort analysis
cohort studies
Dairy products
diet
disease incidence
disease occurrence
enable cluster
fasting
Fibers
glucose
High density lipoprotein
high density lipoprotein cholesterol
Intakes
Meat
metabolic phenotypes
metabotypes
processed meat
risk assessment
Serum levels
Subgroups
triacylglycerols
Triglycerides
vegetables
enable cluster
metabotypes
cardiometabolic diseases
diet
metabolic phenotypes
ISSN:1613-4125, 1613-4133, 1613-4133
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Shrnutí: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. Previous work in an Irish population identified three metabotypes, that is, metabolically homogeneous subgroups of individuals, based on four clinical standard parameters. The aim is to examine the usability of this metabotype classification in the German KORA study. Three metabolically distinct clusters are identified, revealing differences in disease occurrence and may thus be useful for targeted dietary disease prevention strategies.
Bibliografia:ObjectType-Article-1
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ISSN:1613-4125
1613-4133
1613-4133
DOI:10.1002/mnfr.201900918