Developing a Molecular Roadmap of Drug-Food Interactions

Kasper Jensen, Yueqiong Ni, Gianni Panagiotou, Irene Kouskoumvekaki

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    Abstract

    Recent research has demonstrated that consumption of food -especially fruits and vegetables-can alter the effects of drugs by interfering either with their pharmacokinetic or pharmacodynamic processes. Despite the recognition of such drug-food associations as an important element for successful therapeutic interventions, a systematic approach for identifying, predicting and preventing potential interactions between food and marketed or novel drugs is not yet available. The overall objective of this work was to sketch a comprehensive picture of the interference of ∼ 4,000 dietary components present in ∼ 1800 plant-based foods with the pharmacokinetics and pharmacodynamics processes of medicine, with the purpose of elucidating the molecular mechanisms involved. By employing a systems chemical biology approach that integrates data from the scientific literature and online databases, we gained a global view of the associations between diet and dietary molecules with drug targets, metabolic enzymes, drug transporters and carriers currently deposited in Drug-Bank. Moreover, we identified disease areas and drug targets that are most prone to the negative effects of drug-food interactions, showcasing a platform for making recommendations in relation to foods that should be avoided under certain medications. Lastly, by investigating the correlation of gene expression signatures of foods and drugs we were able to generate a completely novel drug-diet interactome map.
    Original languageEnglish
    JournalP L o S Computational Biology (Online)
    Volume11
    Issue number2
    Number of pages15
    ISSN1553-7358
    DOIs
    Publication statusPublished - 2015

    Bibliographical note

    This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

    Keywords

    • Biochemical
    • Mathematical
    • Database
    • Update
    • Discovery
    • Medicine

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