Personalized Nutrition: Tailoring Dietary Recommendations through Genetic Insights

Personalized nutrition (PN) represents a transformative approach in dietary science, where individual genetic profiles guide tailored dietary recommendations, thereby optimizing health outcomes and managing chronic diseases more effectively. This review synthesizes key aspects of PN, emphasizing the...

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Bibliographic Details
Published in:Nutrients 2024-08, Vol.16 (16), p.2673
Main Authors: Singar, Saiful, Nagpal, Ravinder, Arjmandi, Bahram H, Akhavan, Neda S
Format: Article
Language:English
Subjects:
bioinformatics in nutrition
Cardiovascular disease
chronic disease management
Chronic illnesses
Diabetes
Diet
Dietary guidelines
dietary interventions
Food
Genes
Genetic Testing
genetic variability
Genomes
Genomics
Humans
Kinases
Metabolism
Nutrients
Nutrigenomics
Nutrition Policy
Nutrition research
Obesity
Obesity - diet therapy
Obesity - genetics
personalized nutrition
Polymorphism
Precision Medicine - methods
Review
Selenium
Vitamin B
Weight control
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Summary:Personalized nutrition (PN) represents a transformative approach in dietary science, where individual genetic profiles guide tailored dietary recommendations, thereby optimizing health outcomes and managing chronic diseases more effectively. This review synthesizes key aspects of PN, emphasizing the genetic basis of dietary responses, contemporary research, and practical applications. We explore how individual genetic differences influence dietary metabolisms, thus underscoring the importance of nutrigenomics in developing personalized dietary guidelines. Current research in PN highlights significant gene-diet interactions that affect various conditions, including obesity and diabetes, suggesting that dietary interventions could be more precise and beneficial if they are customized to genetic profiles. Moreover, we discuss practical implementations of PN, including technological advancements in genetic testing that enable real-time dietary customization. Looking forward, this review identifies the robust integration of bioinformatics and genomics as critical for advancing PN. We advocate for multidisciplinary research to overcome current challenges, such as data privacy and ethical concerns associated with genetic testing. The future of PN lies in broader adoption across health and wellness sectors, promising significant advancements in public health and personalized medicine.
ISSN:2072-6643
2072-6643
DOI:10.3390/nu16162673