Precision Nutrition Through Nutrigenomics: From Genes to the Plate
DOI:
https://doi.org/10.5281/zenodo.17079770Keywords:
epigenetics, gene–diet interactions, nutrigenetics, nutrigenomics, precision nutritionAbstract
Nutrigenomics investigates human health, disease susceptibility, and response to treatment in terms of dietary components relationship with the genome. This area of study, through a combination of genomics, molecular biology and nutrition science, helps us understand why people react in different ways to the same diet and can precisely design nutrition, based upon genetic diversity. Diet in a mechanistic manner, varies gene expression via epigenetic changes, signaling by transcription factors, and microRNA pathways. Have been used in the prevention and management of cardiometabolic diseases, cancer chemoprevention, and performance nutrition. The impact of nutrigenomic knowledge extends to biofortification and sustainable food systems beyond the clinic that enhance population micronutrient status. However, some ethical and implementation issues will have to be considered, such as privacy of data, equity, strength of evidence, and translation. Nutrigenomics will soon provide effective and fair personalized dietary advice, as AI and multi-omics quicken the discovery phase.
References
Badavath, A., Prusty, A. K., Meena, L. L., Pradhan, S. K., Rathna, G., & Chakraborty, S. (2024). Enhancing agriculture with digital transformation through human–computer interaction. International Journal of Agriculture Extension and Social Development, 7(4), 628–636. https://doi.org/10.33545/26180723.2024.v7.i4h.582
Bouis, H. E. (2024). Biofortification: Future challenges for a newly emerging public health nutrition intervention. Global Food Security, 44, 101011. https://doi.org/10.1016/j.gfs.2024.101011
Carlberg, C. (2023). Nutrigenomics in the context of evolution. Redox Biology, 62, 102656. https://doi.org/10.1016/j.redox.2023.102656
Dunk, M. M., Bowen, J., Wang, Y., et al. (2023). Associations of dietary cholesterol and fat, blood lipids, and risk for dementia in older women vary by APOE genotype. The American Journal of Clinical Nutrition, 118(6), 1180–1193. https://doi.org/10.1016/j.ajcnut.2023.08.026
García-García, I., Hernández-González, T., & Garcés, C. (2024). Examining nutrition strategies to influence DNA methylation and biological aging. Nutrients, 16(4), 915. https://doi.org/10.3390/nu16040915
González-Quijano, G. K., Castelblanco, E., Llauradó, G., et al. (2024). Effect of genotype on the response to diet in cardiovascular disease—A scoping review. Nutrients, 16(23), 3912. https://doi.org/10.3390/nu16233912
Kumari, A., Deb, A., Prusty, A. K., Suman, S., & Rout, D. S. (2024). Preservation of the indigenous medicinal knowledge network of the Bonda tribe. Indian Journal of Extension Education, 60(4), 40–46. https://doi.org/10.48165/IJEE.2024.60408
Park, S.-H., Kim, H.-J., & Kim, S. (2024). Current insights into genome-based personalized nutrition. Preventive Nutrition and Food Science, 29(1), 1–12. https://doi.org/10.3746/pnf.2024.29.1.1
Prusty, A. K., Mohapatra, B. P., Rout, S., & Padhy, C. (2021). Mobile applications in agriculture. PLANTA, 2, 240–244.
Prusty, A. K., Saha, P., Das, N., & Suman, S. (2025). Implementation and adoption of smart technologies in agri-allied sectors. Plant Science Today, 11, 3467. https://doi.org/10.14719/pst.3467
Saha, P., Prusty, A. K., & Nanda, C. (2024). Extension strategies for bridging gender digital divide. Journal of Applied Biology & Biotechnology, 12(4), 76–80. https://doi.org/10.7324/JABB.2024.159452
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Manisha, Manjuree Bhattacharjee, Priyadarshani P. Mohapatra
This work is licensed under a Creative Commons Attribution 4.0 International License.
