IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0059909.html
   My bibliography  Save this article

Human Breath Analysis May Support the Existence of Individual Metabolic Phenotypes

Author

Listed:
  • Pablo Martinez-Lozano Sinues
  • Malcolm Kohler
  • Renato Zenobi

Abstract

The metabolic phenotype varies widely due to external factors such as diet and gut microbiome composition, among others. Despite these temporal fluctuations, urine metabolite profiling studies have suggested that there are highly individual phenotypes that persist over extended periods of time. This hypothesis was tested by analyzing the exhaled breath of a group of subjects during nine days by mass spectrometry. Consistent with previous metabolomic studies based on urine, we conclude that individual signatures of breath composition exist. The confirmation of the existence of stable and specific breathprints may contribute to strengthen the inclusion of breath as a biofluid of choice in metabolomic studies. In addition, the fact that the method is rapid and totally non-invasive, yet individualized profiles can be tracked, makes it an appealing approach.

Suggested Citation

  • Pablo Martinez-Lozano Sinues & Malcolm Kohler & Renato Zenobi, 2013. "Human Breath Analysis May Support the Existence of Individual Metabolic Phenotypes," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-5, April.
    • Handle: RePEc:plo:pone00:0059909
    DOI: 10.1371/journal.pone.0059909
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0059909
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0059909&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0059909?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Laura J. van 't Veer & René Bernards, 2008. "Enabling personalized cancer medicine through analysis of gene-expression patterns," Nature, Nature, vol. 452(7187), pages 564-570, April.
    2. T. Andrew Clayton & John C. Lindon & Olivier Cloarec & Henrik Antti & Claude Charuel & Gilles Hanton & Jean-Pierre Provost & Jean-Loïc Le Net & David Baker & Rosalind J. Walley & Jeremy R. Everett & J, 2006. "Pharmaco-metabonomic phenotyping and personalized drug treatment," Nature, Nature, vol. 440(7087), pages 1073-1077, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hanafi, Mohamed & Ouertani, Samia Samar & Boccard, Julien & Mazerolles, Gérard & Rudaz, Serge, 2015. "Multi-way PLS regression: Monotony convergence of tri-linear PLS2 and optimality of parameters," Computational Statistics & Data Analysis, Elsevier, vol. 83(C), pages 129-139.
    2. 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.
    3. Yujin Hoshida, 2010. "Nearest Template Prediction: A Single-Sample-Based Flexible Class Prediction with Confidence Assessment," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-8, November.
    4. Dimitris Bertsimas & Allison O’Hair & Stephen Relyea & John Silberholz, 2016. "An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer," Management Science, INFORMS, vol. 62(5), pages 1511-1531, May.
    5. Nicole Bijlsma & Marc M. Cohen, 2016. "Environmental Chemical Assessment in Clinical Practice: Unveiling the Elephant in the Room," IJERPH, MDPI, vol. 13(2), pages 1-27, February.
    6. Ioannidis, John P.A., 2009. "Limits to forecasting in personalized medicine: An overview," International Journal of Forecasting, Elsevier, vol. 25(4), pages 773-783, October.
    7. Rachel Cavill & Atanas Kamburov & James K Ellis & Toby J Athersuch & Marcus S C Blagrove & Ralf Herwig & Timothy M D Ebbels & Hector C Keun, 2011. "Consensus-Phenotype Integration of Transcriptomic and Metabolomic Data Implies a Role for Metabolism in the Chemosensitivity of Tumour Cells," PLOS Computational Biology, Public Library of Science, vol. 7(3), pages 1-12, March.
    8. Melissa K Friswell & Helen Gika & Ian J Stratford & Georgios Theodoridis & Brian Telfer & Ian D Wilson & Andrew J McBain, 2010. "Site and Strain-Specific Variation in Gut Microbiota Profiles and Metabolism in Experimental Mice," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-9, January.
    9. Tailiang Xie & Zhuoxin Yu, 2017. "N-of-1 Design and Its Applications to Personalized Treatment Studies," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(2), pages 662-675, December.
    10. Jiarong Chen & Canhong Yang & Bin Guo & Emily S Sena & Malcolm R Macleod & Yawei Yuan & Theodore C Hirst, 2016. "The Efficacy of Trastuzumab in Animal Models of Breast Cancer: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-17, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0059909. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.