Evaluation of the Metabotype Concept Identified in an Irish Population in the German KORA Cohort Study.
cardiometabolic diseases
diet
enable cluster
metabolic phenotypes
metabotypes
Journal
Molecular nutrition & food research
ISSN: 1613-4133
Titre abrégé: Mol Nutr Food Res
Pays: Germany
ID NLM: 101231818
Informations de publication
Date de publication:
04 2020
04 2020
Historique:
received:
27
08
2019
revised:
13
01
2020
pubmed:
13
2
2020
medline:
22
6
2021
entrez:
13
2
2020
Statut:
ppublish
Résumé
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. 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. 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.
Identifiants
pubmed: 32048458
doi: 10.1002/mnfr.201900918
doi:
Substances chimiques
Blood Glucose
0
Triglycerides
0
Cholesterol
97C5T2UQ7J
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1900918Informations de copyright
© 2020 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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