Personalized Nutrition: Tailoring Dietary Recommendations through Genetic Insights

Authors

Saiful Singar, Florida State UniversityFollow
Ravinder Nagpal, Florida State UniversityFollow
Bahram H. Arjmandi, Florida State UniversityFollow
Neda S. Akhavan, University of Nevada, Las VegasFollow

Document Type

Article

Publication Date

8-13-2024

Publication Title

Nutrients

Volume

16

First page number:

1

Last page number:

18

Abstract

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.

Keywords

Personalized nutrition; Nutrigenomics; Genetic variability; Dietary interventions; Chronic disease management; Bioinformatics in nutrition

Disciplines

Genetics | Health Services Research | Quality Improvement

File Format

PDF

File Size

946 KB

Language

English

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Repository Citation

Singar, S., Nagpal, R., Arjmandi, B. H., Akhavan, N. S. (2024). Personalized Nutrition: Tailoring Dietary Recommendations through Genetic Insights. Nutrients, 16 1-18.
http://dx.doi.org/10.3390/nu16162673