Literature DB >> 17269708

Nutritional metabonomics: applications and perspectives.

Serge Rezzi1, Ziad Ramadan, Laurent B Fay, Sunil Kochhar.   

Abstract

Nowadays, nutrition focuses on improving health of individuals through diet. Current nutritional research aims at health promotion, disease prevention, and performance improvement. Modern analytical platforms allow the simultaneous measurement of multiple metabolites providing new insights in the understanding of the functionalities of cells and whole organisms. Metabonomics, "the quantitative measurement of the dynamic multiparametric metabolic response of living systems to pathophysiological stimuli or genetic modifications", provides a systems approach to understanding global metabolic regulations of organisms. This concept has arisen from various applications of NMR and MS spectroscopies to study the multicomponent metabolic composition of biological fluids, cells, and tissues. The generated metabolic profiles are processed by multivariate statistics to maximize the recovery of information to be correlated with well-determined stimuli such as dietary intervention or with any phenotypic data or diet habits. Metabonomics is thus uniquely suited to assess metabolic responses to deficiencies or excesses of nutrients and bioactive components. Furthermore, metabonomics is used to characterize the metabolic phenotype of individuals integrating genetic polymorphism, metabolic interactions with commensal and symbiotic partners such as gut microflora, as well as environmental and behavioral factors including dietary preferences. This paper reports several experimental key aspects in nutritional metabonomics, reviews its applications employing targeted and holistic approach analysis for the study of the metabolic responses following dietary interventions. It also reports the assessment of intra- and inter-individual variability in animal and human populations. The potentialities of nutritional metabonomics for the discovery of new biomarkers and the characterization of metabolic phenotypes are discussed in a context of their possible utilizations for personalized nutrition to provide health maintenance at the individual level.

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Year:  2007        PMID: 17269708     DOI: 10.1021/pr060522z

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  49 in total

1.  Chronic caloric restriction partially protects against age-related alteration in serum metabolome.

Authors:  Jennifer M De Guzman; Ginger Ku; Ryan Fahey; Yun-Hee Youm; Ignatius Kass; Donald K Ingram; Vishwa Deep Dixit; Indu Kheterpal
Journal:  Age (Dordr)       Date:  2012-06-04

2.  Combining NMR and LC/MS Using Backward Variable Elimination: Metabolomics Analysis of Colorectal Cancer, Polyps, and Healthy Controls.

Authors:  Lingli Deng; Haiwei Gu; Jiangjiang Zhu; G A Nagana Gowda; Danijel Djukovic; E Gabriela Chiorean; Daniel Raftery
Journal:  Anal Chem       Date:  2016-08-01       Impact factor: 6.986

3.  Multivariate paired data analysis: multilevel PLSDA versus OPLSDA.

Authors:  Johan A Westerhuis; Ewoud J J van Velzen; Huub C J Hoefsloot; Age K Smilde
Journal:  Metabolomics       Date:  2009-10-28       Impact factor: 4.290

Review 4.  Database resources in metabolomics: an overview.

Authors:  Eden P Go
Journal:  J Neuroimmune Pharmacol       Date:  2009-05-07       Impact factor: 4.147

Review 5.  Postgenomics diagnostics: metabolomics approaches to human blood profiling.

Authors:  Oxana Trifonova; Petr Lokhov; Alexander Archakov
Journal:  OMICS       Date:  2013-09-17

6.  Effects of a prolonged standardized diet on normalizing the human metabolome.

Authors:  Jason H Winnike; Marjorie G Busby; Paul B Watkins; Thomas M O'Connell
Journal:  Am J Clin Nutr       Date:  2009-10-28       Impact factor: 7.045

7.  Metabolomics identifies changes in fatty acid and amino acid profiles in serum of overweight older adults following a weight loss intervention.

Authors:  A Perez-Cornago; L Brennan; I Ibero-Baraibar; H H M Hermsdorff; A O'Gorman; M A Zulet; J Alfredo Martínez
Journal:  J Physiol Biochem       Date:  2014-01-09       Impact factor: 4.158

Review 8.  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

9.  Globally Optimized Targeted Mass Spectrometry: Reliable Metabolomics Analysis with Broad Coverage.

Authors:  Haiwei Gu; Ping Zhang; Jiangjiang Zhu; Daniel Raftery
Journal:  Anal Chem       Date:  2015-12-02       Impact factor: 6.986

10.  Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research.

Authors:  Augustin Scalbert; Lorraine Brennan; Oliver Fiehn; Thomas Hankemeier; Bruce S Kristal; Ben van Ommen; Estelle Pujos-Guillot; Elwin Verheij; David Wishart; Suzan Wopereis
Journal:  Metabolomics       Date:  2009-06-12       Impact factor: 4.290

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