Literature DB >> 19584717

Metabolomics for assessment of nutritional status.

Angela M Zivkovic1, J Bruce German.   

Abstract

PURPOSE OF REVIEW: The current rise in diet-related diseases continues to be one of the most significant health problems facing both the developed and the developing world. The use of metabolomics - the accurate and comprehensive measurement of a significant fraction of important metabolites in accessible biological fluids - for the assessment of nutritional status is a promising way forward. The basic toolset, targets and knowledge are all being developed in the emerging field of metabolomics, yet important knowledge and technology gaps will need to be addressed in order to bring such assessment to practice. RECENT
FINDINGS: Dysregulation within the principal metabolic organs (e.g. intestine, adipose, skeletal muscle and liver) are at the center of a diet-disease paradigm that includes metabolic syndrome, type 2 diabetes and obesity. The assessment of both essential nutrient status and the more comprehensive systemic metabolic response to dietary, lifestyle and environmental influences (e.g. metabolic phenotype) are necessary for the evaluation of status in individuals that can identify the multiple targets of intervention needed to address metabolic disease.
SUMMARY: The first proofs of principle building the knowledge to bring actionable metabolic diagnostics to practice through metabolomics are now appearing.

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Year:  2009        PMID: 19584717      PMCID: PMC2887727          DOI: 10.1097/MCO.0b013e32832f1916

Source DB:  PubMed          Journal:  Curr Opin Clin Nutr Metab Care        ISSN: 1363-1950            Impact factor:   4.294


  32 in total

1.  A vision for the future of genomics research.

Authors:  Francis S Collins; Eric D Green; Alan E Guttmacher; Mark S Guyer
Journal:  Nature       Date:  2003-04-14       Impact factor: 49.962

Review 2.  Building the bridges to bioinformatics in nutrition research.

Authors:  Danielle G Lemay; Angela M Zivkovic; J Bruce German
Journal:  Am J Clin Nutr       Date:  2007-11       Impact factor: 7.045

3.  Mitochondrial overload and incomplete fatty acid oxidation contribute to skeletal muscle insulin resistance.

Authors:  Timothy R Koves; John R Ussher; Robert C Noland; Dorothy Slentz; Merrie Mosedale; Olga Ilkayeva; James Bain; Robert Stevens; Jason R B Dyck; Christopher B Newgard; Gary D Lopaschuk; Deborah M Muoio
Journal:  Cell Metab       Date:  2008-01       Impact factor: 27.287

4.  Metabolomic investigation into variation of endogenous metabolites in professional athletes subject to strength-endurance training.

Authors:  Bei Yan; Jiye A; Guangji Wang; Huali Lu; Xiaoping Huang; Yi Liu; Weibin Zha; Haiping Hao; Ying Zhang; Linsheng Liu; Shenghua Gu; Qing Huang; Yuanting Zheng; Jianguo Sun
Journal:  J Appl Physiol (1985)       Date:  2008-11-26

Review 5.  Metabolomics in practice: emerging knowledge to guide future dietetic advice toward individualized health.

Authors:  J Bruce German; Steven M Watkins; Laurent-Bernard Fay
Journal:  J Am Diet Assoc       Date:  2005-09

6.  Quantitative lipid metabolomic changes in alcoholic micropigs with fatty liver disease.

Authors:  Angela M Zivkovic; J Bruce German; Farah Esfandiari; Charles H Halsted
Journal:  Alcohol Clin Exp Res       Date:  2009-01-21       Impact factor: 3.455

7.  Cross-platform comparison of methods for quantitative metabolomics of primary metabolism.

Authors:  Jörg Martin Büscher; Dominika Czernik; Jennifer Christina Ewald; Uwe Sauer; Nicola Zamboni
Journal:  Anal Chem       Date:  2009-03-15       Impact factor: 6.986

8.  Predictive metabolomics evaluation of nutrition-modulated metabolic stress responses in human blood serum during the early recovery phase of strenuous physical exercise.

Authors:  Elin Chorell; Thomas Moritz; Stefan Branth; Henrik Antti; Michael B Svensson
Journal:  J Proteome Res       Date:  2009-06       Impact factor: 4.466

9.  The genome sequence of Bifidobacterium longum subsp. infantis reveals adaptations for milk utilization within the infant microbiome.

Authors:  D A Sela; J Chapman; A Adeuya; J H Kim; F Chen; T R Whitehead; A Lapidus; D S Rokhsar; C B Lebrilla; J B German; N P Price; P M Richardson; D A Mills
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-24       Impact factor: 11.205

10.  Energy intake and energy expenditure: a controlled study comparing dietitians and non-dietitians.

Authors:  Catherine M Champagne; George A Bray; April A Kurtz; Josefina Bressan Resende Monteiro; Elizabeth Tucker; Julia Volaufova; James P Delany
Journal:  J Am Diet Assoc       Date:  2002-10
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  16 in total

Review 1.  Metabolomics in the study of spontaneous animal diseases.

Authors:  Helena Tran; Malcolm McConville; Panayiotis Loukopoulos
Journal:  J Vet Diagn Invest       Date:  2020-08-18       Impact factor: 1.279

Review 2.  High-Resolution Metabolomics: Review of the Field and Implications for Nursing Science and the Study of Preterm Birth.

Authors:  Shuzhao Li; Anne L Dunlop; Dean P Jones; Elizabeth J Corwin
Journal:  Biol Res Nurs       Date:  2015-07-16       Impact factor: 2.522

Review 3.  Nutrigenomics and personalized diets: What will they mean for food?

Authors:  J Bruce German; Angela M Zivkovic; David C Dallas; Jennifer T Smilowitz
Journal:  Annu Rev Food Sci Technol       Date:  2011

4.  Pathway-directed weighted testing procedures for the integrative analysis of gene expression and metabolomic data.

Authors:  Laila M Poisson; Arun Sreekumar; Arul M Chinnaiyan; Debashis Ghosh
Journal:  Genomics       Date:  2012-04-02       Impact factor: 5.736

5.  Human metabolome associates with dietary intake habits among African Americans in the atherosclerosis risk in communities study.

Authors:  Yan Zheng; Bing Yu; Danny Alexander; Lyn M Steffen; Eric Boerwinkle
Journal:  Am J Epidemiol       Date:  2014-05-06       Impact factor: 4.897

Review 6.  Bioactive food components and cancer-specific metabonomic profiles.

Authors:  Young S Kim; John A Milner
Journal:  J Biomed Biotechnol       Date:  2010-11-11

Review 7.  Nutritional lipidomics: molecular metabolism, analytics, and diagnostics.

Authors:  Jennifer T Smilowitz; Angela M Zivkovic; Yu-Jui Yvonne Wan; Steve M Watkins; Malin L Nording; Bruce D Hammock; J Bruce German
Journal:  Mol Nutr Food Res       Date:  2013-07-01       Impact factor: 5.914

8.  Satiety hormone and metabolomic response to an intermittent high energy diet differs in rats consuming long-term diets high in protein or prebiotic fiber.

Authors:  Raylene A Reimer; Alannah D Maurer; Lindsay K Eller; Megan C Hallam; Rustem Shaykhutdinov; Hans J Vogel; Aalim M Weljie
Journal:  J Proteome Res       Date:  2012-07-23       Impact factor: 4.466

Review 9.  Dietary biomarkers: advances, limitations and future directions.

Authors:  Valisa E Hedrick; Andrea M Dietrich; Paul A Estabrooks; Jyoti Savla; Elena Serrano; Brenda M Davy
Journal:  Nutr J       Date:  2012-12-14       Impact factor: 3.271

10.  Analysis of dietary insoluble and soluble fiber contents in school meal.

Authors:  Dongsoon Shin
Journal:  Nutr Res Pract       Date:  2012-02-29       Impact factor: 1.926

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