Literature DB >> 19340473

Measurement of dietary exposure: a challenging problem which may be overcome thanks to metabolomics?

Gaëlle Favé1, M E Beckmann, J H Draper, J C Mathers.   

Abstract

The diet is an important environmental exposure, and its measurement is an essential component of much health-related research. However, conventional tools for measuring dietary exposure have significant limitations being subject to an unknown degree of misreporting and dependent upon food composition tables to allow estimation of intakes of energy, nutrients and non-nutrient food constituents. In addition, such tools may be inappropriate for use with certain groups of people. As an alternative approach, the recent techniques of metabolite profiling or fingerprinting, which allows simultaneous monitoring of multiple and dynamic components of biological fluids, may provide metabolic signals indicative of food intake. Samples can be analysed through numerous analytical platforms, followed by multivariate data analysis. In humans, metabolomics has been applied successfully in pharmacology, toxicology and medical screening, but nutritional metabolomics is still in its infancy. Biomarkers of a small number of specific foods and nutrients have been developed successfully but less targeted and more high-throughput methods, that do not need prior knowledge of which signals might be discriminatory, and which may allow a more global characterisation of dietary intake, remain to be tested. A proof a principle project (the MEDE Study) is currently underway in our laboratories to test the hypothesis that high-throughput, non-targeted metabolite fingerprinting using flow injection electrospray mass spectrometry can be applied to human biofluids (blood and urine) to characterise dietary exposure in humans.

Entities:  

Year:  2009        PMID: 19340473      PMCID: PMC2690728          DOI: 10.1007/s12263-009-0120-y

Source DB:  PubMed          Journal:  Genes Nutr        ISSN: 1555-8932            Impact factor:   5.523


  62 in total

Review 1.  Metabolomics: an emerging post-genomic tool for nutrition.

Authors:  Phillip D Whitfield; Alexander J German; Peter-John M Noble
Journal:  Br J Nutr       Date:  2004-10       Impact factor: 3.718

Review 2.  NMR-based metabonomic approaches for evaluating physiological influences on biofluid composition.

Authors:  Mary E Bollard; Elizabeth G Stanley; John C Lindon; Jeremy K Nicholson; Elaine Holmes
Journal:  NMR Biomed       Date:  2005-05       Impact factor: 4.044

3.  A metabonomic strategy for the detection of the metabolic effects of chamomile (Matricaria recutita L.) ingestion.

Authors:  Yulan Wang; Huiru Tang; Jeremy K Nicholson; Peter J Hylands; J Sampson; Elaine Holmes
Journal:  J Agric Food Chem       Date:  2005-01-26       Impact factor: 5.279

4.  Evaluation of a biological marker of dairy fat intake.

Authors:  A Wolk; B Vessby; H Ljung; P Barrefors
Journal:  Am J Clin Nutr       Date:  1998-08       Impact factor: 7.045

5.  Deconvolution gas chromatography/mass spectrometry of urinary organic acids--potential for pattern recognition and automated identification of metabolic disorders.

Authors:  J M Halket; A Przyborowska; S E Stein; W G Mallard; S Down; R A Chalmers
Journal:  Rapid Commun Mass Spectrom       Date:  1999       Impact factor: 2.419

6.  Metabonomics, dietary influences and cultural differences: a 1H NMR-based study of urine samples obtained from healthy British and Swedish subjects.

Authors:  E M Lenz; J Bright; I D Wilson; A Hughes; J Morrisson; H Lindberg; A Lockton
Journal:  J Pharm Biomed Anal       Date:  2004-11-19       Impact factor: 3.935

7.  Detection of epithelial ovarian cancer using 1H-NMR-based metabonomics.

Authors:  Kunle Odunsi; Robert M Wollman; Christine B Ambrosone; Alan Hutson; Susan E McCann; Jonathan Tammela; John P Geisler; Gregory Miller; Thomas Sellers; William Cliby; Feng Qian; Bernadette Keitz; Marilyn Intengan; Shashikant Lele; James L Alderfer
Journal:  Int J Cancer       Date:  2005-02-20       Impact factor: 7.396

8.  Validation of dietary assessment methods in the UK arm of EPIC using weighed records, and 24-hour urinary nitrogen and potassium and serum vitamin C and carotenoids as biomarkers.

Authors:  S A Bingham; C Gill; A Welch; A Cassidy; S A Runswick; S Oakes; R Lubin; D I Thurnham; T J Key; L Roe; K T Khaw; N E Day
Journal:  Int J Epidemiol       Date:  1997       Impact factor: 7.196

9.  Gas chromatographic profiling and pattern recognition analysis of urinary organic acids from uterine myoma patients and cervical cancer patients.

Authors:  K R Kim; H G Park; M J Paik; H S Ryu; K S Oh; S W Myung; H M Liebich
Journal:  J Chromatogr B Biomed Sci Appl       Date:  1998-08-07

10.  Pentadecanoic acid in serum as a marker for intake of milk fat: relations between intake of milk fat and metabolic risk factors.

Authors:  A E Smedman; I B Gustafsson; L G Berglund; B O Vessby
Journal:  Am J Clin Nutr       Date:  1999-01       Impact factor: 7.045

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  16 in total

1.  Assessment of dietary exposure related to dietary GI and fibre intake in a nutritional metabolomic study of human urine.

Authors:  Lone G Rasmussen; Hanne Winning; Francesco Savorani; Christian Ritz; Søren B Engelsen; Arne Astrup; Thomas M Larsen; Lars O Dragsted
Journal:  Genes Nutr       Date:  2011-10-09       Impact factor: 5.523

2.  Web-enabled and improved software tools and data are needed to measure nutrient intakes and physical activity for personalized health research.

Authors:  Phyllis J Stumbo; Rick Weiss; John W Newman; Jean A Pennington; Katherine L Tucker; Paddy L Wiesenfeld; Anne-Kathrin Illner; David M Klurfeld; Jim Kaput
Journal:  J Nutr       Date:  2010-10-27       Impact factor: 4.798

3.  Modulation of plasma and urine metabolome in colorectal cancer survivors consuming rice bran.

Authors:  Iman Zarei; Renee C Oppel; Erica C Borresen; Regina J Brown; Elizabeth P Ryan
Journal:  Integr Food Nutr Metab       Date:  2019-04-05

Review 4.  A Role for Data Science in Precision Nutrition and Early Brain Development.

Authors:  Sarah U Morton; Brian J Leyshon; Eleonora Tamilia; Rutvi Vyas; Michaela Sisitsky; Imran Ladha; John B Lasekan; Matthew J Kuchan; P Ellen Grant; Yangming Ou
Journal:  Front Psychiatry       Date:  2022-06-23       Impact factor: 5.435

5.  Novel technologies for assessing dietary intake: evaluating the usability of a mobile telephone food record among adults and adolescents.

Authors:  Bethany L Daugherty; TusaRebecca E Schap; Reynolette Ettienne-Gittens; Fengqing M Zhu; Marc Bosch; Edward J Delp; David S Ebert; Deborah A Kerr; Carol J Boushey
Journal:  J Med Internet Res       Date:  2012-04-13       Impact factor: 5.428

6.  Development and validation of a standardized protocol to monitor human dietary exposure by metabolite fingerprinting of urine samples.

Authors:  Gaëlle Favé; Manfred Beckmann; Amanda J Lloyd; Shaobo Zhou; Graham Harold; Wanchang Lin; Kathleen Tailliart; Long Xie; John Draper; John C Mathers
Journal:  Metabolomics       Date:  2011-02-23       Impact factor: 4.290

7.  Human metabolic profiles are stably controlled by genetic and environmental variation.

Authors:  George Nicholson; Mattias Rantalainen; Anthony D Maher; Jia V Li; Daniel Malmodin; Kourosh R Ahmadi; Johan H Faber; Ingileif B Hallgrímsdóttir; Amy Barrett; Henrik Toft; Maria Krestyaninova; Juris Viksna; Sudeshna Guha Neogi; Marc-Emmanuel Dumas; Ugis Sarkans; Bernard W Silverman; Peter Donnelly; Jeremy K Nicholson; Maxine Allen; Krina T Zondervan; John C Lindon; Tim D Spector; Mark I McCarthy; Elaine Holmes; Dorrit Baunsgaard; Chris C Holmes
Journal:  Mol Syst Biol       Date:  2011-08-30       Impact factor: 11.429

Review 8.  Metabolomics to Explore Impact of Dairy Intake.

Authors:  Hong Zheng; Morten R Clausen; Trine K Dalsgaard; Hanne C Bertram
Journal:  Nutrients       Date:  2015-06-17       Impact factor: 5.717

Review 9.  Metabolomics in the identification of biomarkers of dietary intake.

Authors:  Aoife O'Gorman; Helena Gibbons; Lorraine Brennan
Journal:  Comput Struct Biotechnol J       Date:  2013-02-07       Impact factor: 7.271

10.  A metabolomic investigation of the effects of vitamin E supplementation in humans.

Authors:  Max Wong; John K Lodge
Journal:  Nutr Metab (Lond)       Date:  2012-12-19       Impact factor: 4.169

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