Home
Deutsch
Advanced Search
Browse by ...
Publication overview
Contact persons
Help
Publ. Version/Full Text
Research data
DOI
PMC
 |
Open Access Gold |
|
as soon as is submitted to ZB.
Optimized metabotype definition based on a limited number of standard clinical parameters in the population-based KORA study.
Life 12:1460 (2022)
The aim of metabotyping is to categorize individuals into metabolically similar groups. Earlier studies that explored metabotyping used numerous parameters, which made it less transferable to apply. Therefore, this study aimed to identify metabotypes based on a set of standard laboratory parameters that are regularly determined in clinical practice. K-means cluster analysis was used to group 3001 adults from the KORA F4 cohort into three clusters. We identified the clustering parameters through variable importance methods, without including any specific disease endpoint. Several unique combinations of selected parameters were used to create different metabotype models. Metabotype models were then described and evaluated, based on various metabolic parameters and on the incidence of cardiometabolic diseases. As a result, two optimal models were identified: a model composed of five parameters, which were fasting glucose, HDLc, non-HDLc, uric acid, and BMI (the metabolic disease model) for clustering; and a model that included four parameters, which were fasting glucose, HDLc, non-HDLc, and triglycerides (the cardiovascular disease model). These identified metabotypes are based on a few common parameters that are measured in everyday clinical practice. These metabotypes are cost-effective, and can be easily applied on a large scale in order to identify specific risk groups that can benefit most from measures to prevent cardiometabolic diseases, such as dietary recommendations and lifestyle interventions.
Altmetric
Additional Metrics?
Edit extra informations
Login
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Cardiovascular Diseases ; Clinical Marker ; Cluster Analysis ; Metabolic Diseases ; Metabotype ; Parameter Selection
ISSN (print) / ISBN
2075-1729
e-ISSN
2075-1729
Journal
Life
Quellenangaben
Volume: 12,
Issue: 10,
Article Number: 1460
Publisher
MDPI
Publishing Place
Basel
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Epidemiology II (EPI2)
Independent Research Group Clinical Epidemiology (KEPI)
Independent Research Group Clinical Epidemiology (KEPI)
Grants
German Ministry for Education and Research (BMBF)
enable Competence Cluster of Nutrition Research
enable Competence Cluster of Nutrition Research