Literature DB >> 17678571

Nutrigenomic approaches for benefit-risk analysis of foods and food components: defining markers of health.

Ruan Elliott1, Catalina Pico, Yvonne Dommels, Iwona Wybranska, John Hesketh, Jaap Keijer.   

Abstract

To be able to perform a comprehensive and rigorous benefit-risk analysis of individual food components, and of foods, a number of fundamental questions need to be addressed first. These include whether it is feasible to detect all relevant biological effects of foods and individual food components, how such effects can confidently be categorised into benefits and risks in relation to health and, for that matter, how health can be quantified. This article examines the last of these issues, focusing upon concepts for the development of new biomarkers of health. Clearly, there is scope for refinement of classical biomarkers so that they may be used to detect even earlier signs of disease, but this approach defines health solely as the absence of detectable disease or disease risk. We suggest that the health of a biological system may better be reflected by its ability to withstand and manage relevant physiological challenges so that homeostasis is maintained. We discuss the potential for expanding the range of current challenge tests for use in conjunction with functional genomic technologies to develop new types of biomarkers of health.

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Year:  2007        PMID: 17678571     DOI: 10.1017/S0007114507803400

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  7 in total

1.  The challenges for molecular nutrition research 2: quantification of the nutritional phenotype.

Authors:  Ben van Ommen; Jaap Keijer; Robert Kleemann; Ruan Elliott; Christian A Drevon; Harry McArdle; Mike Gibney; Michael Müller
Journal:  Genes Nutr       Date:  2008-06-25       Impact factor: 5.523

2.  Plasma metabolomics and proteomics profiling after a postprandial challenge reveal subtle diet effects on human metabolic status.

Authors:  Linette Pellis; Marjan J van Erk; Ben van Ommen; Gertruud C M Bakker; Henk F J Hendriks; Nicole H P Cnubben; Robert Kleemann; Eugene P van Someren; Ivana Bobeldijk; Carina M Rubingh; Suzan Wopereis
Journal:  Metabolomics       Date:  2011-05-28       Impact factor: 4.290

3.  Ranges of phenotypic flexibility in healthy subjects.

Authors:  T J van den Broek; G C M Bakker; C M Rubingh; S Bijlsma; J H M Stroeve; B van Ommen; M J van Erk; S Wopereis
Journal:  Genes Nutr       Date:  2017-12-06       Impact factor: 5.523

4.  Global testing of shifts in metabolic phenotype.

Authors:  Parastoo Fazelzadeh; Huub C J Hoefsloot; Thomas Hankemeier; Jasper Most; Sander Kersten; Ellen E Blaak; Mark Boekschoten; John van Duynhoven
Journal:  Metabolomics       Date:  2018-10-04       Impact factor: 4.290

5.  Biotransformation profiles from a cohort of chronic fatigue women in response to a hepatic detoxification challenge.

Authors:  Elardus Erasmus; Francois E Steffens; Mari van Reenen; B Chris Vorster; Carolus J Reinecke
Journal:  PLoS One       Date:  2019-05-10       Impact factor: 3.240

6.  Characterization and Validation of an "Acute Aerobic Exercise Load" as a Tool to Assess Antioxidative and Anti-inflammatory Nutrition in Healthy Subjects Using a Statistically Integrated Approach in a Comprehensive Clinical Trial.

Authors:  Youjin Kim; Sungkyoung Choi; Sungyoung Lee; Saejong Park; Ji Yeon Kim; Taesung Park; Oran Kwon
Journal:  Oxid Med Cell Longev       Date:  2019-09-08       Impact factor: 6.543

7.  Responses to high-fat challenges varying in fat type in subjects with different metabolic risk phenotypes: a randomized trial.

Authors:  Susan J van Dijk; Marco Mensink; Diederik Esser; Edith J M Feskens; Michael Müller; Lydia A Afman
Journal:  PLoS One       Date:  2012-07-23       Impact factor: 3.240

  7 in total

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