Objective: To synthesize recent research on the role of genetics in chronic non-communicable diseases, with a particular focus on the nutrigenomics approach as a key strategy for proactive healthcare and effective prevention of prevalent conditions such as diabetes, cardiovascular disease, stroke, and cancer. Methods: A literature synthesis was conducted, analyzing recent research advancements in genetic testing, nutrigenomics, and their application in proactive healthcare. The study emphasizes findings relevant to the Vietnamese context, where implementation remains limited. Results: Advances in Next-Generation Sequencing and Artificial Intelligence have significantly reduced sequencing time and costs, enabling comprehensive genetic risk screening and lifestyle modification strategies. While these approaches are widely applied in developed nations, their utilization in Vietnam is still in its early stages. Key findings demonstrate the potential of nutrigenomics in assessing genetic predispositions and guiding personalized interventions for chronic diseases. Conclusion: Genomic decoding and nutrigenomics offer promising avenues for proactive and personalized healthcare in Vietnam. Addressing current challenges, including limited clinical implementation and population-specific genetic data, could facilitate the integration of genetic information into disease prevention strategies, ultimately improving health outcomes for chronic non-communicable diseases.
CLINICAL APPLICATIONS OF GENOMIC DECODING IN PERSONALIZED PROACTIVE HEALTHCARE FOR CHRONIC NON-COMMUNICABLE DISEASES AND CANCER.
19
Views
10
Downloads
Keywords
Gene decoding; Nutrigenomics; Chronic non-communicable diseases; Proactive healthcare; Cancer
Abstract
References
[1]
World Health Organization. Noncommunicable diseases (NCDs) fact sheet [Internet]. Geneva: World Health Organization; 2024 [cited 2026 Feb 7]. Available from: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases.
Google Scholar
[2]
World Health Organization. Cardiovascular diseases [Internet]. Geneva: World Health Organization; 2024 [cited 2026 Feb 7]. Available from: https://www.who.int/vietnam/health-topics/cardiovascular-diseases/cardiovascular-diseases.
Google Scholar
[3]
Chowns J, Patel RS, Thanassoulis G, et al. Cardiovascular genetics: the role of genetics in predicting risk. Med Clin North Am. 2022;106(2):313–324. doi:10.1016/j.mcna.2021.11.007.
Google Scholar
[4]
Hachiya T, Kubo M, Hirakawa Y, et al. Genome-wide polygenic score and the risk of ischemic stroke in a prospective cohort: the Hisayama study. Stroke. 2020;51:759–765. doi:10.1161/STROKEAHA.119.027520.
Google Scholar
[5]
Wang M, Menon R, Mishra S, et al. Validation of a genome-wide polygenic score for coronary artery disease in South Asians. J Am Coll Cardiol. 2020;76:703–714. doi:10.1016/j.jacc.2020.06.024
Google Scholar
[6]
González-Quijano GK, Martínez-González MÁ, Fernández-Montero A, et al. Effect of genotype on the response to diet in cardiovascular disease: a scoping review. Healthcare (Basel). 2024;12:2292. doi:10.3390/healthcare12222292.
Google Scholar
[7]
Fallaize R, Carvalho-Wells AL, Tierney AC, et al. APOE genotype influences insulin resistance, apolipoprotein CII and CIII according to plasma fatty acid profile in the metabolic syndrome. Sci Rep. 2017;7:6274. doi:10.1038/s41598-017-05802-2.
Google Scholar
[8]
Kushwaha S, Singh P, Gupta A, et al. An exploratory, open-label, parallel-group, randomised controlled trial evaluating the effect of gene-based nutritional intervention in type 2 diabetes: the protocol for NUDGE clinical trial. Contemp Clin Trials Commun. 2025;45:101470. doi:10.1016/j.conctc.2025.101470.
Google Scholar
[9]
Wang F, Li Y, Zhang Y, et al. Personalized nutrition: a review of genotype-based nutritional supplementation. Front Nutr. 2022;9:992986. doi:10.3389/fnut.2022.992986.
Google Scholar
[10]
Natarajan P, Young R, Stitziel NO, et al. Polygenic risk score identifies subgroup with higher burden of atherosclerosis and greater relative benefit from statin therapy in the primary prevention setting. Circulation. 2017;135:2091–2101. doi:10.1161/CIRCULATIONAHA.116.024436.
Google Scholar