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Human metabolic phenotype diversity and its association with diet and blood pressure

Author

Listed:
  • Elaine Holmes

    (Biomolecular Medicine, Oncology, Reproductive Biology and Anaesthetics (SORA), Faculty of Medicine, Imperial College London, South Kensington Campus)

  • Ruey Leng Loo

    (Biomolecular Medicine, Oncology, Reproductive Biology and Anaesthetics (SORA), Faculty of Medicine, Imperial College London, South Kensington Campus
    Imperial College London, St Mary’s Campus)

  • Jeremiah Stamler

    (Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA)

  • Magda Bictash

    (Biomolecular Medicine, Oncology, Reproductive Biology and Anaesthetics (SORA), Faculty of Medicine, Imperial College London, South Kensington Campus
    Imperial College London, St Mary’s Campus)

  • Ivan K. S. Yap

    (Biomolecular Medicine, Oncology, Reproductive Biology and Anaesthetics (SORA), Faculty of Medicine, Imperial College London, South Kensington Campus
    Imperial College London, St Mary’s Campus)

  • Queenie Chan

    (Imperial College London, St Mary’s Campus)

  • Tim Ebbels

    (Biomolecular Medicine, Oncology, Reproductive Biology and Anaesthetics (SORA), Faculty of Medicine, Imperial College London, South Kensington Campus)

  • Maria De Iorio

    (Imperial College London, St Mary’s Campus)

  • Ian J. Brown

    (Imperial College London, St Mary’s Campus)

  • Kirill A. Veselkov

    (Biomolecular Medicine, Oncology, Reproductive Biology and Anaesthetics (SORA), Faculty of Medicine, Imperial College London, South Kensington Campus)

  • Martha L. Daviglus

    (Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA)

  • Hugo Kesteloot

    (Akademisch Ziekenhuis St Rafael, Leuven B-3000, Belgium)

  • Hirotsugu Ueshima

    (Shiga University of Medical Science, Otsu, Shiga 520-2192, Japan)

  • Liancheng Zhao

    (Fu Wai Hospital and Cardiovascular Institute, Chinese Academy of Medical Sciences)

  • Jeremy K. Nicholson

    (Biomolecular Medicine, Oncology, Reproductive Biology and Anaesthetics (SORA), Faculty of Medicine, Imperial College London, South Kensington Campus)

  • Paul Elliott

    (Imperial College London, St Mary’s Campus)

Abstract

Metabolic profiling: Broad-brush epidemiology Metabolic profiling — the analysis of the relative levels of many different metabolites in blood or urine — can reveal a lot about how diet and lifestyle contribute to risks for certain diseases. Profiling of urine samples from more than 4,000 individuals taking part in the INTERMAP epidemiological study demonstrates significant differences in metabolism both from country to country and within populations. Metabolites discriminating across populations were linked to data on blood pressure, a major risk factor for coronary heart disease and stroke. Formate, alanine and hippurate excretion emerged as markers related to blood pressure. Overall the data show that lifestyle is a dominant feature in determining metabolism. This work lays the foundation for a 'metabolome-wide association' approach to molecular epidemiology.

Suggested Citation

  • Elaine Holmes & Ruey Leng Loo & Jeremiah Stamler & Magda Bictash & Ivan K. S. Yap & Queenie Chan & Tim Ebbels & Maria De Iorio & Ian J. Brown & Kirill A. Veselkov & Martha L. Daviglus & Hugo Kesteloot, 2008. "Human metabolic phenotype diversity and its association with diet and blood pressure," Nature, Nature, vol. 453(7193), pages 396-400, May.
    • Handle: RePEc:nat:nature:v:453:y:2008:i:7193:d:10.1038_nature06882
    DOI: 10.1038/nature06882
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    Citations

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    Cited by:

    1. William Astle & Maria De Iorio & Sylvia Richardson & David Stephens & Timothy Ebbels, 2012. "A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(500), pages 1259-1271, December.
    2. Edoardo Saccenti & Leonardo Tenori & Paul Verbruggen & Marieke E Timmerman & Jildau Bouwman & Jan van der Greef & Claudio Luchinat & Age K Smilde, 2014. "Of Monkeys and Men: A Metabolomic Analysis of Static and Dynamic Urinary Metabolic Phenotypes in Two Species," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-13, September.
    3. Chiara Roberta Girelli & Laura Del Coco & Francesco Paolo Fanizzi, 2017. "Tunisian Extra Virgin Olive Oil Traceability in the EEC Market: Tunisian/Italian (Coratina) EVOOs Blend as a Case Study," Sustainability, MDPI, vol. 9(8), pages 1-11, August.
    4. Singer Burton, 2011. "Genome-Phenome Linkages in Human Population Surveys, with Special Emphasis on the Health and Retirement Survey," Forum for Health Economics & Policy, De Gruyter, vol. 14(2), pages 1-24, April.
    5. Eslami, Seyed Pouyan & Ghasemaghaei, Maryam, 2018. "Effects of online review positiveness and review score inconsistency on sales: A comparison by product involvement," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 74-80.
    6. Shinji Fukuda & Yumiko Nakanishi & Eisuke Chikayama & Hiroshi Ohno & Tsuneo Hino & Jun Kikuchi, 2009. "Evaluation and Characterization of Bacterial Metabolic Dynamics with a Novel Profiling Technique, Real-Time Metabolotyping," PLOS ONE, Public Library of Science, vol. 4(3), pages 1-10, March.

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