Long term conservation of human metabolic phenotypes and link to heritability

被引:55
作者
Yousri, Noha A. [1 ,2 ]
Kastenmueller, Gabi [3 ]
Gieger, Christian [4 ]
Shin, So-Youn [5 ,6 ]
Erte, Idil [7 ]
Menni, Cristina [7 ]
Peters, Annette [8 ]
Meisinger, Christa [8 ]
Mohney, Robert P. [9 ]
Illig, Thomas [10 ]
Adamski, Jerzy [11 ]
Soranzo, Nicole [5 ]
Spector, Tim D. [7 ]
Suhre, Karsten [1 ,3 ]
机构
[1] Weill Cornell Med Coll Qatar, Qatar Fdn, Dept Physiol & Biophys, Doha, Qatar
[2] Univ Alexandria, Fac Engn, Comp & Syst Engn Dept, Alexandria, Egypt
[3] Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Inst Bioinformat & Syst Biol, D-85764 Neuherberg, Germany
[4] German Res Ctr Environm Hlth, Helmholtz Zentrum Munchen, Inst Genet Epidemiol, D-85764 Neuherberg, Germany
[5] Wellcome Trust Sanger Inst, Hinxton CB10 1HH, England
[6] Univ Bristol, MRC Integrat Epidemiol Unit, Bristol, Avon, England
[7] Kings Coll London, Dept Twin Res & Genet Epidemiol, London SE1 7EH, England
[8] Helmholtz Zentrum Munchen, German Res Ctr Environm Hlth, Inst Epidemiol 2, D-85764 Neuherberg, Germany
[9] Metabolon Inc, Durham, NC USA
[10] Hannover Med Sch, Hannover Unified Biobank, D-30625 Hannover, Germany
[11] German Res Ctr Environm Hlth, Helmholtz Zentrum Munchen, Genome Anal Ctr, Inst Expt Genet, D-85764 Neuherberg, Germany
基金
英国惠康基金;
关键词
Metabolomics; Longitudinal study; Heritability; Population study; PROFILES; IDENTIFICATION; BIOMARKERS; KORA; STANDARDIZATION; ASSOCIATION; DIAGNOSIS; PLATFORM; PLASMA; HEALTH;
D O I
10.1007/s11306-014-0629-y
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:1005 / 1017
页数:13
相关论文
共 45 条
[1]   Metabolomics and the Search for Biomarkers in Parkinson's Disease [J].
Amara, Amy W. ;
Standaert, David G. .
MOVEMENT DISORDERS, 2013, 28 (12) :1620-1621
[2]  
Andrew T, 2001, Twin Res, V4, P464, DOI 10.1375/1369052012803
[3]   Evidence of different metabolic phenotypes in humans [J].
Assfalg, Michael ;
Bertini, Ivano ;
Colangiuli, Donato ;
Luchinat, Claudio ;
Schaefer, Hartmut ;
Schuetz, Birk ;
Spraul, Manfred .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (05) :1420-1424
[4]   Individual Human Phenotypes in Metabolic Space and Time [J].
Bernini, Patrizia ;
Bertini, Ivano ;
Luchinat, Claudio ;
Nepi, Stefano ;
Saccenti, Edoardo ;
Schaefer, Hartmut ;
Schuetz, Birk ;
Spraul, Manfred ;
Tenori, Leonardo .
JOURNAL OF PROTEOME RESEARCH, 2009, 8 (09) :4264-4271
[5]   OpenMx: An Open Source Extended Structural Equation Modeling Framework [J].
Boker, Steven ;
Neale, Michael ;
Maes, Hermine ;
Wilde, Michael ;
Spiegel, Michael ;
Brick, Timothy ;
Spies, Jeffrey ;
Estabrook, Ryne ;
Kenny, Sarah ;
Bates, Timothy ;
Mehta, Paras ;
Fox, John .
PSYCHOMETRIKA, 2011, 76 (02) :306-317
[6]   NMR-based metabonomic approaches for evaluating physiological influences on biofluid composition [J].
Bollard, ME ;
Stanley, EG ;
Lindon, JC ;
Nicholson, JK ;
Holmes, E .
NMR IN BIOMEDICINE, 2005, 18 (03) :143-162
[7]  
Buse John B, 2003, Diabetes Technol Ther, V5, P355, DOI 10.1089/152091503765691839
[8]   Urate: a novel biomarker of Parkinson's disease risk, diagnosis and prognosis [J].
Cipriani, S. ;
Chen, Xiqun ;
Schwarzschild, Michael A. .
BIOMARKERS IN MEDICINE, 2010, 4 (05) :701-712
[9]   Pharmaco-metabolomics: An emerging "omics" tool for the personalization of anticancer treatments and identification of new valuable therapeutic targets [J].
Corona, Giuseppe ;
Rizzolio, Flavio ;
Giordano, Antonio ;
Toffoli, Giuseppe .
JOURNAL OF CELLULAR PHYSIOLOGY, 2012, 227 (07) :2827-2831
[10]   The human circadian metabolome [J].
Dallmann, Robert ;
Viola, Antoine U. ;
Tarokh, Leila ;
Cajochen, Christian ;
Brown, Steven A. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2012, 109 (07) :2625-2629