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Roy R, Marakkar S, Vayalil MP, Shahanaz A, Anil AP, Kunnathpeedikayil S, Rawal I, Shetty K, Shameer Z, Sathees S, Prasannakumar AP, Mathew OK, Subramanian L, Shameer K, Yadav KK. Drug-food Interactions in the Era of Molecular Big Data, Machine Intelligence, and Personalized Health. RECENT ADVANCES IN FOOD, NUTRITION & AGRICULTURE 2022; 13:27-50. [PMID: 36173075 PMCID: PMC10258917 DOI: 10.2174/2212798412666220620104809] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 03/04/2022] [Accepted: 03/30/2022] [Indexed: 12/29/2022]
Abstract
The drug-food interaction brings forth changes in the clinical effects of drugs. While favourable interactions bring positive clinical outcomes, unfavourable interactions may lead to toxicity. This article reviews the impact of food intake on drug-food interactions, the clinical effects of drugs, and the effect of drug-food in correlation with diet and precision medicine. Emerging areas in drug-food interactions are the food-genome interface (nutrigenomics) and nutrigenetics. Understanding the molecular basis of food ingredients, including genomic sequencing and pharmacological implications of food molecules, helps to reduce the impact of drug-food interactions. Various strategies are being leveraged to alleviate drug-food interactions; measures including patient engagement, digital health, approaches involving machine intelligence, and big data are a few of them. Furthermore, delineating the molecular communications across dietmicrobiome- drug-food-drug interactions in a pharmacomicrobiome framework may also play a vital role in personalized nutrition. Determining nutrient-gene interactions aids in making nutrition deeply personalized and helps mitigate unwanted drug-food interactions, chronic diseases, and adverse events from their onset. Translational bioinformatics approaches could play an essential role in the next generation of drug-food interaction research. In this landscape review, we discuss important tools, databases, and approaches along with key challenges and opportunities in drug-food interaction and its immediate impact on precision medicine.
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Affiliation(s)
- Romy Roy
- Molecular Robotics, Cochin, Kerala, India
| | | | | | - Alisha Shahanaz
- Molecular Robotics, Cochin, Kerala, India
- Sanaria Inc, Rockville, MD, USA
| | - Athira Panicker Anil
- Molecular Robotics, Cochin, Kerala, India
- Mar Athanasious College for Advanced Studies, Tiruvalla, India
| | - Shameer Kunnathpeedikayil
- Molecular Robotics, Cochin, Kerala, India
- Thiruvalla, Kerala; People Care Health LLP Thrissur, Kerala, India
| | | | | | | | - Saraswathi Sathees
- Molecular Robotics, Cochin, Kerala, India
- University of Washington Seattle, Washington WA, USA
| | | | | | - Lakshminarayanan Subramanian
- Department of Computer Science, Courant Institute of Mathematical Sciences, New York University, New York, NY, USA
| | - Khader Shameer
- Northwell Health, New York, NY, USA and Faculty of Medicine, Imperial College London, London, UK
| | - Kamlesh K. Yadav
- School of Engineering Medicine, and
- Department of Translational Medical Sciences, Center for Genomic and Precision Medicine, Texas A&M University, Houston, TX 77030, USA
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