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Published on: November 10, 2017
Dietary Modulation of CYP3A4 and Its Impact on Statins and Antidiabetic Drugs: A Narrative Review
Manuel Hernández-Lorca1, Isabel M Timón1, Pura Ballester1
1Faculty of Pharmacy and Nutrition, UCAM Universidad Católica de Murcia, 30107 Murcia, Spain.
Abstract:
Cytochrome P450 3A4 (CYP3A4) is a key enzyme involved in the metabolism of nearly half of all clinically used drugs, including widely prescribed statins and antidiabetic agents. Dietary constituents can modulate CYP3A4 expression and activity through various mechanisms, thereby altering drug pharmacokinetics and potentially leading to therapeutic failure or toxicity. This narrative review compiles current evidence on dietary modulation of CYP3A4, with a particular focus on pharmacological and clinical implications for lipid-lowering and glucose-lowering drugs. Literature was identified through a comprehensive search in PubMed, Scopus, and Web of Science, including preclinical and clinical studies addressing food-drug interactions involving CYP3A4 substrates. Numerous dietary compounds, such as citrus furanocoumarins, polyphenols, herbal extracts, and vitamins, act as CYP3A4 inhibitors or inducers through competitive, mechanism-based, or nuclear receptor-mediated pathways. Specific examples include simvastatin, atorvastatin, repaglinide, and saxagliptin, whose systemic exposure can be significantly altered by dietary factors. Moreover, interindividual variability in CYP3A4 activity may be shaped by genetic polymorphisms, microbiota-derived metabolites, and epigenetic regulation, further influencing drug response. Understanding these interactions is crucial, especially in polymedicated patients or those receiving drugs with a narrow therapeutic index. Clinicians should remain aware of potential CYP3A4-related food-drug interactions and consider dietary habits and supplement use in therapeutic decision-making. Future research should aim to integrate pharmacogenomics, gut microbiome profiling, and personalized nutrition in order to improve the prediction and prevention of clinically significant interactions.
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