Cargando…
Long term conservation of human metabolic phenotypes and link to heritability
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...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145193/ https://www.ncbi.nlm.nih.gov/pubmed/25177233 http://dx.doi.org/10.1007/s11306-014-0629-y |
_version_ | 1782332126806409216 |
---|---|
author | Yousri, Noha A. Kastenmüller, Gabi Gieger, Christian Shin, So-Youn Erte, Idil Menni, Cristina Peters, Annette Meisinger, Christa Mohney, Robert P. Illig, Thomas Adamski, Jerzy Soranzo, Nicole Spector, Tim D. Suhre, Karsten |
author_facet | Yousri, Noha A. Kastenmüller, Gabi Gieger, Christian Shin, So-Youn Erte, Idil Menni, Cristina Peters, Annette Meisinger, Christa Mohney, Robert P. Illig, Thomas Adamski, Jerzy Soranzo, Nicole Spector, Tim D. Suhre, Karsten |
author_sort | Yousri, Noha A. |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-014-0629-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4145193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-41451932014-08-28 Long term conservation of human metabolic phenotypes and link to heritability Yousri, Noha A. Kastenmüller, Gabi Gieger, Christian Shin, So-Youn Erte, Idil Menni, Cristina Peters, Annette Meisinger, Christa Mohney, Robert P. Illig, Thomas Adamski, Jerzy Soranzo, Nicole Spector, Tim D. Suhre, Karsten Metabolomics Original Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-014-0629-y) contains supplementary material, which is available to authorized users. Springer US 2014-02-26 2014 /pmc/articles/PMC4145193/ /pubmed/25177233 http://dx.doi.org/10.1007/s11306-014-0629-y Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Original Article Yousri, Noha A. Kastenmüller, Gabi Gieger, Christian Shin, So-Youn Erte, Idil Menni, Cristina Peters, Annette Meisinger, Christa Mohney, Robert P. Illig, Thomas Adamski, Jerzy Soranzo, Nicole Spector, Tim D. Suhre, Karsten Long term conservation of human metabolic phenotypes and link to heritability |
title | Long term conservation of human metabolic phenotypes and link to heritability |
title_full | Long term conservation of human metabolic phenotypes and link to heritability |
title_fullStr | Long term conservation of human metabolic phenotypes and link to heritability |
title_full_unstemmed | Long term conservation of human metabolic phenotypes and link to heritability |
title_short | Long term conservation of human metabolic phenotypes and link to heritability |
title_sort | long term conservation of human metabolic phenotypes and link to heritability |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4145193/ https://www.ncbi.nlm.nih.gov/pubmed/25177233 http://dx.doi.org/10.1007/s11306-014-0629-y |
work_keys_str_mv | AT yousrinohaa longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT kastenmullergabi longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT giegerchristian longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT shinsoyoun longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT erteidil longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT mennicristina longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT petersannette longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT meisingerchrista longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT mohneyrobertp longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT illigthomas longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT adamskijerzy longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT soranzonicole longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT spectortimd longtermconservationofhumanmetabolicphenotypesandlinktoheritability AT suhrekarsten longtermconservationofhumanmetabolicphenotypesandlinktoheritability |