Literature DB >> 24760973

The food metabolome: a window over dietary exposure.

Augustin Scalbert1, Lorraine Brennan1, Claudine Manach1, Cristina Andres-Lacueva1, Lars O Dragsted1, John Draper1, Stephen M Rappaport1, Justin J J van der Hooft1, David S Wishart1.   

Abstract

The food metabolome is defined as the part of the human metabolome directly derived from the digestion and biotransformation of foods and their constituents. With >25,000 compounds known in various foods, the food metabolome is extremely complex, with a composition varying widely according to the diet. By its very nature it represents a considerable and still largely unexploited source of novel dietary biomarkers that could be used to measure dietary exposures with a high level of detail and precision. Most dietary biomarkers currently have been identified on the basis of our knowledge of food compositions by using hypothesis-driven approaches. However, the rapid development of metabolomics resulting from the development of highly sensitive modern analytic instruments, the availability of metabolite databases, and progress in (bio)informatics has made agnostic approaches more attractive as shown by the recent identification of novel biomarkers of intakes for fruit, vegetables, beverages, meats, or complex diets. Moreover, examples also show how the scrutiny of the food metabolome can lead to the discovery of bioactive molecules and dietary factors associated with diseases. However, researchers still face hurdles, which slow progress and need to be resolved to bring this emerging field of research to maturity. These limits were discussed during the First International Workshop on the Food Metabolome held in Glasgow. Key recommendations made during the workshop included more coordination of efforts; development of new databases, software tools, and chemical libraries for the food metabolome; and shared repositories of metabolomic data. Once achieved, major progress can be expected toward a better understanding of the complex interactions between diet and human health.
© 2014 American Society for Nutrition.

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Year:  2014        PMID: 24760973     DOI: 10.3945/ajcn.113.076133

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  127 in total

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2.  Training in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data.

Authors:  Stephen Barnes; H Paul Benton; Krista Casazza; Sara J Cooper; Xiangqin Cui; Xiuxia Du; Jeffrey Engler; Janusz H Kabarowski; Shuzhao Li; Wimal Pathmasiri; Jeevan K Prasain; Matthew B Renfrow; Hemant K Tiwari
Journal:  J Mass Spectrom       Date:  2016-07       Impact factor: 1.982

3.  The use of metabolomics in population-based research.

Authors:  L Joseph Su; Oliver Fiehn; Padma Maruvada; Steven C Moore; Stephen J O'Keefe; David S Wishart; Krista A Zanetti
Journal:  Adv Nutr       Date:  2014-11-14       Impact factor: 8.701

4.  The maternal serum metabolome by multisegment injection-capillary electrophoresis-mass spectrometry: a high-throughput platform and standardized data workflow for large-scale epidemiological studies.

Authors:  Meera Shanmuganathan; Zachary Kroezen; Biban Gill; Sandi Azab; Russell J de Souza; Koon K Teo; Stephanie Atkinson; Padmaja Subbarao; Dipika Desai; Sonia S Anand; Philip Britz-McKibbin
Journal:  Nat Protoc       Date:  2021-03-05       Impact factor: 13.491

5.  Nutritional metabolomics and breast cancer risk in a prospective study.

Authors:  Mary C Playdon; Regina G Ziegler; Joshua N Sampson; Rachael Stolzenberg-Solomon; Henry J Thompson; Melinda L Irwin; Susan T Mayne; Robert N Hoover; Steven C Moore
Journal:  Am J Clin Nutr       Date:  2017-06-28       Impact factor: 7.045

Review 6.  Nutritional interventions in primary mitochondrial disorders: Developing an evidence base.

Authors:  Kathryn M Camp; Danuta Krotoski; Melissa A Parisi; Katrina A Gwinn; Bruce H Cohen; Christine S Cox; Gregory M Enns; Marni J Falk; Amy C Goldstein; Rashmi Gopal-Srivastava; Gráinne S Gorman; Stephen P Hersh; Michio Hirano; Freddie Ann Hoffman; Amel Karaa; Erin L MacLeod; Robert McFarland; Charles Mohan; Andrew E Mulberg; Joanne C Odenkirchen; Sumit Parikh; Patricia J Rutherford; Shawne K Suggs-Anderson; W H Wilson Tang; Jerry Vockley; Lynne A Wolfe; Steven Yannicelli; Philip E Yeske; Paul M Coates
Journal:  Mol Genet Metab       Date:  2016-09-20       Impact factor: 4.797

7.  A lipid-related metabolomic pattern of diet quality.

Authors:  Minoo Bagheri; Walter Willett; Mary K Townsend; Peter Kraft; Kerry L Ivey; Eric B Rimm; Kathryn Marie Wilson; Karen H Costenbader; Elizabeth W Karlson; Elizabeth M Poole; Oana A Zeleznik; A Heather Eliassen
Journal:  Am J Clin Nutr       Date:  2020-12-10       Impact factor: 7.045

8.  Nutriome-metabolome relationships provide insights into dietary intake and metabolism.

Authors:  Joram M Posma; Isabel Garcia-Perez; Gary Frost; Ghadeer S Aljuraiban; Queenie Chan; Linda Van Horn; Martha Daviglus; Jeremiah Stamler; Elaine Holmes; Paul Elliott; Jeremy K Nicholson
Journal:  Nat Food       Date:  2020-06-22

Review 9.  Computational Metabolomics: A Framework for the Million Metabolome.

Authors:  Karan Uppal; Douglas I Walker; Ken Liu; Shuzhao Li; Young-Mi Go; Dean P Jones
Journal:  Chem Res Toxicol       Date:  2016-10-12       Impact factor: 3.739

Review 10.  Diet, nutrition, and cancer: past, present and future.

Authors:  Susan T Mayne; Mary C Playdon; Cheryl L Rock
Journal:  Nat Rev Clin Oncol       Date:  2016-03-08       Impact factor: 66.675

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