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A Network Analysis of Cofactor-protein Interactions for Analyzing Associations Between Human Nutrition and Diseases

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Journal Sci Rep
Specialty Science
Date 2016 Jan 19
PMID 26777674
Citations 13
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Abstract

The involvement of vitamins and other micronutrients in intermediary metabolism was elucidated in the mid 1900's at the level of individual biochemical reactions. Biochemical pathways remain the foundational knowledgebase for understanding how micronutrient adequacy modulates health in all life stages. Current daily recommended intakes were usually established on the basis of the association of a single nutrient to a single, most sensitive adverse effect and thus neglect interdependent and pleiotropic effects of micronutrients on biological systems. Hence, the understanding of the impact of overt or sub-clinical nutrient deficiencies on biological processes remains incomplete. Developing a more complete view of the role of micronutrients and their metabolic products in protein-mediated reactions is of importance. We thus integrated and represented cofactor-protein interaction data from multiple and diverse sources into a multi-layer network representation that links cofactors, cofactor-interacting proteins, biological processes, and diseases. Network representation of this information is a key feature of the present analysis and enables the integration of data from individual biochemical reactions and protein-protein interactions into a systems view, which may guide strategies for targeted nutritional interventions aimed at improving health and preventing diseases.

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References
1.
Ames B . Low micronutrient intake may accelerate the degenerative diseases of aging through allocation of scarce micronutrients by triage. Proc Natl Acad Sci U S A. 2006; 103(47):17589-94. PMC: 1693790. DOI: 10.1073/pnas.0608757103. View

2.
Fischer J, Holliday G, Thornton J . The CoFactor database: organic cofactors in enzyme catalysis. Bioinformatics. 2010; 26(19):2496-7. PMC: 2944199. DOI: 10.1093/bioinformatics/btq442. View

3.
Jenab M, Slimani N, Bictash M, Ferrari P, Bingham S . Biomarkers in nutritional epidemiology: applications, needs and new horizons. Hum Genet. 2009; 125(5-6):507-25. DOI: 10.1007/s00439-009-0662-5. View

4.
Goh K, Cusick M, Valle D, Childs B, Vidal M, Barabasi A . The human disease network. Proc Natl Acad Sci U S A. 2007; 104(21):8685-90. PMC: 1885563. DOI: 10.1073/pnas.0701361104. View

5.
Winichagoon P . Thailand nutrition in transition: situation and challenges of maternal and child nutrition. Asia Pac J Clin Nutr. 2013; 22(1):6-15. DOI: 10.6133/apjcn.2013.22.1.17. View