Literature DB >> 14726599

Nutritional genomics: the next frontier in the postgenomic era.

Jim Kaput1, Raymond L Rodriguez.   

Abstract

The interface between the nutritional environment and cellular/genetic processes is being referred to as "nutrigenomics." Nutrigenomics seeks to provide a molecular genetic understanding for how common dietary chemicals (i.e., nutrition) affect health by altering the expression and/or structure of an individual's genetic makeup. The fundamental concepts of the field are that the progression from a healthy phenotype to a chronic disease phenotype must occur by changes in gene expression or by differences in activities of proteins and enzymes and that dietary chemicals directly or indirectly regulate the expression of genomic information. We present a conceptual basis and specific examples for this new branch of genomic research that focuses on the tenets of nutritional genomics: 1) common dietary chemicals act on the human genome, either directly or indirectly, to alter gene expression or structure; 2) under certain circumstances and in some individuals, diet can be a serious risk factor for a number of diseases; 3) some diet-regulated genes (and their normal, common variants) are likely to play a role in the onset, incidence, progression, and/or severity of chronic diseases; 4) the degree to which diet influences the balance between healthy and disease states may depend on an individual's genetic makeup; and 5) dietary intervention based on knowledge of nutritional requirement, nutritional status, and genotype (i.e., "individualized nutrition") can be used to prevent, mitigate, or cure chronic disease.

Entities:  

Mesh:

Year:  2004        PMID: 14726599     DOI: 10.1152/physiolgenomics.00107.2003

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  44 in total

1.  Web-enabled and improved software tools and data are needed to measure nutrient intakes and physical activity for personalized health research.

Authors:  Phyllis J Stumbo; Rick Weiss; John W Newman; Jean A Pennington; Katherine L Tucker; Paddy L Wiesenfeld; Anne-Kathrin Illner; David M Klurfeld; Jim Kaput
Journal:  J Nutr       Date:  2010-10-27       Impact factor: 4.798

2.  Opportunities and challenges for nutritional proteomics in cancer prevention.

Authors:  Donato F Romagnolo; John A Milner
Journal:  J Nutr       Date:  2012-05-30       Impact factor: 4.798

3.  Iron deficiency modifies gene expression variation induced by augmented hypoxia sensing.

Authors:  Joe G N Garcia; Roberto F Machado; Victor R Gordeuk; Xu Zhang; Wei Zhang; Shwu-Fan Ma; Galina Miasniakova; Adelina Sergueeva; Tatiana Ammosova; Min Xu; Sergei Nekhai; Mehdi Nourai; Michael S Wade; Josef T Prchal
Journal:  Blood Cells Mol Dis       Date:  2013-08-28       Impact factor: 3.039

Review 4.  [Anti-aging medicine in dermatologic practice].

Authors:  E-M Meigel
Journal:  Hautarzt       Date:  2005-04       Impact factor: 0.751

Review 5.  Obesity and its therapy: from genes to community action.

Authors:  Joseph A Skelton; Laure DeMattia; Lawrence Miller; Michael Olivier
Journal:  Pediatr Clin North Am       Date:  2006-08       Impact factor: 3.278

6.  Open- and closed-formula laboratory animal diets and their importance to research.

Authors:  Dennis E Barnard; Sherry M Lewis; Beverly B Teter; Julius E Thigpen
Journal:  J Am Assoc Lab Anim Sci       Date:  2009-11       Impact factor: 1.232

7.  The genomics of micronutrient requirements.

Authors:  Jacqueline Pontes Monteiro; Martin Kussmann; Jim Kaput
Journal:  Genes Nutr       Date:  2015-05-19       Impact factor: 5.523

8.  Transcriptional profiling of chromosome 17 quantitative trait Loci for carbohydrate and total calorie intake in a mouse congenic strain reveals candidate genes and pathways.

Authors:  K Ganesh Kumar; Brenda K Smith Richards
Journal:  J Nutrigenet Nutrigenomics       Date:  2008-01-17

9.  Oestradiol differentially influences feeding behaviour depending on diet composition in female rhesus monkeys.

Authors:  Z P Johnson; J Lowe; V Michopoulos; C J Moore; M E Wilson; D Toufexis
Journal:  J Neuroendocrinol       Date:  2013-08       Impact factor: 3.627

10.  Nutrigenomic analysis of diet-gene interactions on functional supplements for weight management.

Authors:  Francis C Lau; Manashi Bagchi; Chandan Sen; Sashwati Roy; Debasis Bagchi
Journal:  Curr Genomics       Date:  2008-06       Impact factor: 2.236

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