Literature DB >> 18850187

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

Ben van Ommen1, Jaap Keijer, Robert Kleemann, Ruan Elliott, Christian A Drevon, Harry McArdle, Mike Gibney, Michael Müller.   

Abstract

In quantifying the beneficial effect of dietary interventions in healthy subjects, nutrition research meets a number of new challenges. Inter individual variation in biomarker values often is larger than the effect related to the intervention. Healthy subjects have a remarkable capacity to maintain homeostasis, both through direct metabolic regulation, metabolic compensation of altered diets, and effective defence and repair mechanisms in oxidative and inflammatory stress. Processes involved in these regulatory activities essentially different from processes involved in early onset of diet related diseases. So, new concepts and approaches are needed to better quantify the subtle effects possibly achieved by dietary interventions in healthy subjects. Apart from quantification of the genotype and food intake (these are discussed in separate reviews in this series), four major areas of innovation are discussed: the biomarker profile concept, perturbation of homeostasis combined with omics analysis, imaging, modelling and fluxes. All of these areas contribute to a better understanding and quantification of the nutritional phenotype.

Year:  2008        PMID: 18850187      PMCID: PMC2467450          DOI: 10.1007/s12263-008-0084-3

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


  71 in total

1.  Whole-body optical imaging of green fluorescent protein-expressing tumors and metastases.

Authors:  M Yang; E Baranov; P Jiang; F X Sun; X M Li; L Li; S Hasegawa; M Bouvet; M Al-Tuwaijri; T Chishima; H Shimada; A R Moossa; S Penman; R M Hoffman
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-01       Impact factor: 11.205

Review 2.  Sweet changes: glucose homeostasis can be altered by manipulating genes controlling hepatic glucose metabolism.

Authors:  James J Collier; Donald K Scott
Journal:  Mol Endocrinol       Date:  2003-12-23

3.  ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data.

Authors:  Age K Smilde; Jeroen J Jansen; Huub C J Hoefsloot; Robert-Jan A N Lamers; Jan van der Greef; Marieke E Timmerman
Journal:  Bioinformatics       Date:  2005-05-12       Impact factor: 6.937

4.  Production of C-reactive protein and risk of coronary events in stable and unstable angina. European Concerted Action on Thrombosis and Disabilities Angina Pectoris Study Group.

Authors:  F Haverkate; S G Thompson; S D Pyke; J R Gallimore; M B Pepys
Journal:  Lancet       Date:  1997-02-15       Impact factor: 79.321

5.  Caffeine ingestion does not alter carbohydrate or fat metabolism in human skeletal muscle during exercise.

Authors:  T E Graham; J W Helge; D A MacLean; B Kiens; E A Richter
Journal:  J Physiol       Date:  2000-12-15       Impact factor: 5.182

6.  High-protein and high-carbohydrate breakfasts differentially change the transcriptome of human blood cells.

Authors:  Marjan J van Erk; Wendy A M Blom; Ben van Ommen; Henk F J Hendriks
Journal:  Am J Clin Nutr       Date:  2006-11       Impact factor: 7.045

7.  Supplementation of healthy volunteers with nutritionally relevant amounts of selenium increases the expression of lymphocyte protein biosynthesis genes.

Authors:  Vasileios Pagmantidis; Catherine Méplan; Evert M van Schothorst; Jaap Keijer; John E Hesketh
Journal:  Am J Clin Nutr       Date:  2008-01       Impact factor: 7.045

8.  Evaluation of a quantitative magnetic resonance method for mouse whole body composition analysis.

Authors:  Frank C Tinsley; Gersh Z Taicher; Mark L Heiman
Journal:  Obes Res       Date:  2004-01

9.  BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data.

Authors:  Lao H Saal; Carl Troein; Johan Vallon-Christersson; Sofia Gruvberger; Ake Borg; Carsten Peterson
Journal:  Genome Biol       Date:  2002-07-15       Impact factor: 13.583

10.  Atheroprotective role of interleukin-6 in diet- and/or pathogen-associated atherosclerosis using an ApoE heterozygote murine model.

Authors:  Monika Madan; Biswadev Bishayi; Michael Hoge; Salomon Amar
Journal:  Atherosclerosis       Date:  2007-04-06       Impact factor: 5.162

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  17 in total

1.  Metabolic fate of polyphenols in the human superorganism.

Authors:  John van Duynhoven; Elaine E Vaughan; Doris M Jacobs; Robèr A Kemperman; Ewoud J J van Velzen; Gabriele Gross; Laure C Roger; Sam Possemiers; Age K Smilde; Joël Doré; Johan A Westerhuis; Tom Van de Wiele
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-25       Impact factor: 11.205

Review 2.  Nutritional phenotype databases and integrated nutrition: from molecules to populations.

Authors:  Michael J Gibney; Breige A McNulty; Miriam F Ryan; Marianne C Walsh
Journal:  Adv Nutr       Date:  2014-05-14       Impact factor: 8.701

3.  Soy food supplementation, dietary fat reduction and peripheral blood gene expression in postmenopausal women--a randomized, controlled trial.

Authors:  Jun Wang; Kimberly Siegmund; Chiu-Cheng Tseng; Amy S Lee; Anna H Wu
Journal:  Mol Nutr Food Res       Date:  2011-08-08       Impact factor: 5.914

Review 4.  Potential value of nutrigenomics in Crohn's disease.

Authors:  Lynnette R Ferguson
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2012-03-13       Impact factor: 46.802

5.  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

6.  Visualization and identification of health space, based on personalized molecular phenotype and treatment response to relevant underlying biological processes.

Authors:  Jildau Bouwman; Jack Twe Vogels; Suzan Wopereis; Carina M Rubingh; Sabina Bijlsma; Ben van Ommen
Journal:  BMC Med Genomics       Date:  2012-01-06       Impact factor: 3.063

7.  Identification of differential responses to an oral glucose tolerance test in healthy adults.

Authors:  Ciara Morris; Colm O'Grada; Miriam Ryan; Helen M Roche; Michael J Gibney; Eileen R Gibney; Lorraine Brennan
Journal:  PLoS One       Date:  2013-08-22       Impact factor: 3.240

8.  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

9.  Phenotypic flexibility as key factor in the human nutrition and health relationship.

Authors:  Ben van Ommen; Jan van der Greef; Jose Maria Ordovas; Hannelore Daniel
Journal:  Genes Nutr       Date:  2014-08-09       Impact factor: 5.523

Review 10.  Integration to Implementation and the Micronutrient Forum: A Coordinated Approach for Global Nutrition. Case Study Application: Safety and Effectiveness of Iron Interventions.

Authors:  Daniel J Raiten; Lynnette M Neufeld; Luz-Maria De-Regil; Sant-Rayn Pasricha; Ian Darnton-Hill; Richard Hurrell; Laura E Murray-Kolb; K Madhavan Nair; Terry Wefwafwa; Roland Kupka; Modou Cheyassin Phall; Fayrouz A Sakr Ashour
Journal:  Adv Nutr       Date:  2016-01-15       Impact factor: 8.701

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