Literature DB >> 24829488

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

Michael J Gibney1, Breige A McNulty2, Miriam F Ryan2, Marianne C Walsh2.   

Abstract

In recent years, there has been a great expansion in the nature of new technologies for the study of all biologic subjects at the molecular and genomic level and these have been applied to the field of human nutrition. The latter has traditionally relied on a mix of epidemiologic studies to generate hypotheses, dietary intervention studies to test these hypotheses, and a variety of experimental approaches to understand the underlying explanatory mechanisms. Both the novel and traditional approaches have begun to carve out separate identities vís-a-vís their own journals, their own international societies, and their own national and international symposia. The present review draws on the advent of large national nutritional phenotype databases and related technological developments to argue the case that there needs to be far more integration of molecular and public health nutrition. This is required to address new joint approaches to such areas as the measurement of food intake, biomarker discovery, and the genetic determinants of nutrient-sensitive genotypes and other areas such as personalized nutrition and the use of new technologies with mass application, such as in dried blood spots to replace venipuncture or portable electronic devices to monitor food intake and phenotype. Future development requires the full integration of these 2 disciplines, which will provide a challenge to both funding agencies and to university training of nutritionists.
© 2014 American Society for Nutrition.

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Year:  2014        PMID: 24829488      PMCID: PMC4013193          DOI: 10.3945/an.113.005496

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  21 in total

1.  Dietary patterns in Irish adolescents: a comparison of cluster and principal component analyses.

Authors:  Áine P Hearty; Michael J Gibney
Journal:  Public Health Nutr       Date:  2011-10-13       Impact factor: 4.022

2.  Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies.

Authors:  Aifric O'Sullivan; Michael J Gibney; Lorraine Brennan
Journal:  Am J Clin Nutr       Date:  2010-12-22       Impact factor: 7.045

Review 3.  Metabolomics in human nutrition: opportunities and challenges.

Authors:  Michael J Gibney; Marianne Walsh; Lorraine Brennan; Helen M Roche; Bruce German; Ben van Ommen
Journal:  Am J Clin Nutr       Date:  2005-09       Impact factor: 7.045

4.  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

5.  Measurement of cholesterol and triglycerides from a dried blood spot in an Indian Council of Medical Research-World Health Organization multicentric survey on risk factors for noncommunicable diseases in India.

Authors:  Ramakrishnan Lakshmy; Prashant Mathur; Ruby Gupta; Bela Shah; Krishnan Anand; Viswanathan Mohan; Nimesh G Desai; Jagdish Mahanta; Prashant Prabhakar Joshi; Kavumpurathu Raman Thankappan
Journal:  J Clin Lipidol       Date:  2011-11-12       Impact factor: 4.766

6.  Challenges of molecular nutrition research 6: the nutritional phenotype database to store, share and evaluate nutritional systems biology studies.

Authors:  Ben van Ommen; Jildau Bouwman; Lars O Dragsted; Christian A Drevon; Ruan Elliott; Philip de Groot; Jim Kaput; John C Mathers; Michael Müller; Fre Pepping; Jahn Saito; Augustin Scalbert; Marijana Radonjic; Philippe Rocca-Serra; Anthony Travis; Suzan Wopereis; Chris T Evelo
Journal:  Genes Nutr       Date:  2010-02-03       Impact factor: 5.523

7.  Energy adjustment of nutrient intakes is preferable to adjustment using body weight and physical activity in epidemiological analyses.

Authors:  Jinnie J Rhee; Eunyoung Cho; Walter C Willett
Journal:  Public Health Nutr       Date:  2013-05-23       Impact factor: 4.022

8.  Influence of acute phytochemical intake on human urinary metabolomic profiles.

Authors:  Marianne C Walsh; Lorraine Brennan; Estelle Pujos-Guillot; Jean-Louis Sébédio; Augustin Scalbert; Ailís Fagan; Desmond G Higgins; Michael J Gibney
Journal:  Am J Clin Nutr       Date:  2007-12       Impact factor: 7.045

9.  Connecting Health and Technology (CHAT): protocol of a randomized controlled trial to improve nutrition behaviours using mobile devices and tailored text messaging in young adults.

Authors:  Deborah A Kerr; Christina M Pollard; Peter Howat; Edward J Delp; Mark Pickering; Katherine R Kerr; Satvinder S Dhaliwal; Iain S Pratt; Janine Wright; Carol J Boushey
Journal:  BMC Public Health       Date:  2012-06-22       Impact factor: 3.295

10.  Assessment of inflammatory resilience in healthy subjects using dietary lipid and glucose challenges.

Authors:  Suzan Wopereis; Danielle Wolvers; Marjan van Erk; Michiel Gribnau; Bas Kremer; Ferdi A van Dorsten; Esther Boelsma; Ursula Garczarek; Nicole Cnubben; Leon Frenken; Paul van der Logt; Henk F J Hendriks; Ruud Albers; John van Duynhoven; Ben van Ommen; Doris M Jacobs
Journal:  BMC Med Genomics       Date:  2013-10-27       Impact factor: 3.063

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