A Systematic Review of the Gene–Lifestyle Interactions on Metabolic Disease-Related Outcomes in Arab Populations

Author:

AlAnazi Maria M.12ORCID,Ventura Eduard Flores3ORCID,Lovegrove Julie A.1ORCID,Vimaleswaran Karani Santhanakrishnan14ORCID

Affiliation:

1. Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading RG6 6DZ, UK

2. Department of Human Nutrition, College of Health Sciences, Qatar University, Doha P.O. Box 2713, Qatar

3. Institute of Agrochemistry and Food Technology—Spanish National Research Council (IATA-CSIC), 46980 Valencia, Spain

4. Institute for Food, Nutrition and Health (IFNH), University of Reading, Reading RG6 6AH, UK

Abstract

The increased prevalence of metabolic diseases in the Arab countries is mainly associated with genetic susceptibility, lifestyle behaviours, such as physical inactivity, and an unhealthy diet. The objective of this review was to investigate and summarise the findings of the gene–lifestyle interaction studies on metabolic diseases such as obesity and type 2 diabetes in Arab populations. Relevant articles were retrieved from a literature search on PubMed, Web of Science, and Google Scholar starting at the earliest indexing date through to January 2024. Articles that reported an interaction between gene variants and diet or physical activity were included and excluded if no interaction was investigated or if they were conducted among a non-Arab population. In total, five articles were included in this review. To date, among three out of twenty-two Arab populations, fourteen interactions have been found between the FTO rs9939609, TCF7L2 rs7903146, MC4R rs17782313, and MTHFR rs1801133 polymorphisms and diet or physical activity on obesity and type 2 diabetes outcomes. The majority of the reported gene–diet/ gene–physical activity interactions (twelve) appeared only once in the review. Consequently, replication, comparisons, and generalisation of the findings are limited due to the sample size, study designs, dietary assessment tools, statistical analysis, and genetic heterogeneity of the studied sample.

Publisher

MDPI AG

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