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Research Article Open access CC BY 4.0

Nutritional Genomics: The Use of Personalized Diets for Managing Depression

Ewaoluwa Promise Owoyemi, Kernen Paul Agwaza, Ogbonna Kosisochukwu Doris, Donatus Chigozie Egwuatu, Rachael Olakunmi Ogunye, Peter Chidendu Anene, Eberechukwu Osinachi Azubuike, Jane-Frances Chinenye Ojobor, David Odanibeh, Oluwabusola Oluwakorede Asenuga, Chibuzo Valentine Nwokafor

Journal of Complementary and Alternative Medical Research · pp. 23–37 · Published 19 Oct 2024

10.9734/jocamr/2024/v25i11581

Abstract

Millions worldwide suffer from major depression, and recent studies have highlighted the effect of diet on mental health. However, research using nutritional genomics to create personalized diets for managing depression is still limited. This review explores the role of nutritional genomics in developing personalized dietary strategies for depression, focusing on key genetic markers. A comprehensive review of current literature, with a focus on studies that analyze the interplay between specific genes, nutrient intake, and depression was carried out. Databases like PubMed, Google Scholar, and Web of Science were searched using keywords like “nutritional genomics,” “personalized diets,” and “depression.” Relevant articles were also selected based on their contribution to how genetic variations affect dietary components linked to mental health. We identified several genetic markers such as SLC6A4 and BDNF that may influence how individuals with depression respond to specific nutrients, such as vitamin D, folate, and omega-3 fatty acids. These markers include variations in genes related to neurotransmitter pathways, inflammation, and neuroplasticity. This review highlights the potential of nutritional genomics as a tool for creating more individualized dietary plans for managing depression. With the use of genetic insights into dietary recommendations, healthcare providers could offer more targeted interventions.

Nutritional genomics personalized diets depression mental health genetic markers

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