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Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Feb 15, 2024; 15(2): 142-153
Published online Feb 15, 2024. doi: 10.4239/wjd.v15.i2.142
Genotype-based precision nutrition strategies for the prediction and clinical management of type 2 diabetes mellitus
Omar Ramos-Lopez
Omar Ramos-Lopez, Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Baja California, Mexico
Author contributions: Ramos-Lopez O contributed to the writing and revision of this manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Omar Ramos-Lopez, PhD, Professor, Medicine and Psychology School, Autonomous University of Baja California, Universidad 14418, UABC, Parque Internacional Industrial Tijuana, Tijuana 22390, Baja California, Mexico. oscar.omar.ramos.lopez@uabc.edu.mx
Received: October 14, 2023
Peer-review started: October 14, 2023
First decision: December 6, 2023
Revised: December 7, 2023
Accepted: January 11, 2024
Article in press: January 11, 2024
Published online: February 15, 2024
Abstract

Globally, type 2 diabetes mellitus (T2DM) is one of the most common metabolic disorders. T2DM physiopathology is influenced by complex interrelationships between genetic, metabolic and lifestyle factors (including diet), which differ between populations and geographic regions. In fact, excessive consumptions of high fat/high sugar foods generally increase the risk of developing T2DM, whereas habitual intakes of plant-based healthy diets usually exert a protective effect. Moreover, genomic studies have allowed the characterization of sequence DNA variants across the human genome, some of which may affect gene expression and protein functions relevant for glucose homeostasis. This comprehensive literature review covers the impact of gene-diet interactions on T2DM susceptibility and disease progression, some of which have demonstrated a value as biomarkers of personal responses to certain nutritional interventions. Also, novel genotype-based dietary strategies have been developed for improving T2DM control in comparison to general lifestyle recommendations. Furthermore, progresses in other omics areas (epigenomics, metagenomics, proteomics, and metabolomics) are improving current understanding of genetic insights in T2DM clinical outcomes. Although more investigation is still needed, the analysis of the genetic make-up may help to decipher new paradigms in the pathophysiology of T2DM as well as offer further opportunities to personalize the screening, prevention, diagnosis, management, and prognosis of T2DM through precision nutrition.

Keywords: Type 2 diabetes mellitus, Nutrigenetics, Single nucleotide polymorphism, Genotype, Diet, Precision nutrition

Core Tip: The onset and progression of type 2 diabetes mellitus (T2DM) is influenced by complex interrelationships between genetic and dietary factors. Indeed, a number of nutrigenetic studies have identified significant gene-diet interactions related to T2DM predisposition, nutrient metabolic status, and dietary intervention responsiveness. Moreover, this knowledge has motivated the interest for the design and implementation of genotype-based dietary strategies for improving glycemic outcomes compared to conventional nutritional advice. Although more investigation is required, these insights may help to explain disease phenotype heterogeneity, with relevance in precision nutrition for the personalized prevention and clinical management of T2DM.