Open Access Green as soon as Postprint is submitted to ZB.
Long term conservation of human metabolic phenotypes and link to heritability.
Catal. Lett. 10, 1005-1017 (2014)
Changes in an individual's human metabolic phenotype (metabotype) over time can be indicative of disorder-related modifications. Studies covering several months to a few years have shown that metabolic profiles are often specific for an individual. This "metabolic individuality" and detected changes may contribute to personalized approaches in human health care. However, it is not clear whether such individual metabotypes persist over longer time periods. Here we investigate the conservation of metabotypes characterized by 212 different metabolites of 818 participants from the Cooperative Health Research in the Region of Augsburg; Germany population, taken within a 7-year time interval. For replication, we used paired samples from 83 non-related individuals from the TwinsUK study. Results indicated that over 40 % of all study participants could be uniquely identified after 7 years based on their metabolic profiles alone. Moreover, 95 % of the study participants showed a high degree of metabotype conservation (>70 %) whereas the remaining 5 % displayed major changes in their metabolic profiles over time. These latter individuals were likely to have undergone important biochemical changes between the two time points. We further show that metabolite conservation was positively associated with heritability (rank correlation 0.74), although there were some notable exceptions. Our results suggest that monitoring changes in metabotypes over several years can trace changes in health status and may provide indications for disease onset. Moreover, our study findings provide a general reference for metabotype conservation over longer time periods that can be used in biomarker discovery studies.
Altmetric
Additional Metrics?
Edit extra informations
Login
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Heritability ; Longitudinal Study ; Metabolomics ; Population Study; Pharmaceutical Research; Parkinsons-disease; Human Urine; Profiles; Identification; Biomarkers; Health; Kora; Standardization; Metabonomics
ISSN (print) / ISBN
1011-372X
e-ISSN
1572-879X
Journal
Catalysis Letters
Quellenangaben
Volume: 10,
Issue: 5,
Pages: 1005-1017
Publisher
Springer
Publishing Place
New York, NY
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Genetic Epidemiology (IGE)
Institute of Epidemiology II (EPI2)
Institute of Bioinformatics and Systems Biology (IBIS)
Molekulare Endokrinologie und Metabolismus (MEM)
German Center for Diabetes Reseach (DZD)
Institute of Epidemiology II (EPI2)
Institute of Bioinformatics and Systems Biology (IBIS)
Molekulare Endokrinologie und Metabolismus (MEM)
German Center for Diabetes Reseach (DZD)