A network analysis of cofactor-protein interactions for analyzing associations between human nutrition and diseases.

Scott-Boyer, Marie Pier, Lacroix, Sébastien, Scotti, Marco , Morine, Melissa J., Kaput, Jim and Priami, Corrado (2016) A network analysis of cofactor-protein interactions for analyzing associations between human nutrition and diseases. Open Access Scientific Reports, 6 (19633). DOI 10.1038/srep19633.

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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.

Document Type: Article
Additional Information: WOS:000368198900001 ; PubMed ID: 26777674
Keywords: MICRONUTRIENT SUPPLEMENTATION; PREGNANCY; DATABASE; PREVENTION; CATALYSIS; COUNTRIES; GENETICS; MATRICES; CALCIUM; BIOLOGY
Research affiliation: OceanRep > GEOMAR > FB3 Marine Ecology > FB3-EOE-N Experimental Ecology - Food Webs
Refereed: Yes
Open Access Journal?: Yes
Publisher: Nature Research
Date Deposited: 05 Feb 2016 07:22
Last Modified: 01 Feb 2019 15:09
URI: https://oceanrep.geomar.de/id/eprint/31286

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