ABSTRACT
BACKGROUND: Over the last decade, the results of several studies have indicated that adults' food preferences, consumption, and dietary choices vary depending on their genotype characteristics. However, the results of studies related to genes and polymorphisms involved in this phenomenon are contradictory. This study is a systematic review designed to evaluate the genetic determinants of food preferences. METHODS: This study was conducted following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Searches were conducted to identify articles testing the impact of genotypes on food choices, preferences, and intake in healthy adults. The search included all relevant keywords, and studies published between 1/1/1994 and October 2022 were considered. We assessed the quality of included studies and evaluated the risk of bias using the Newcastle-Ottawa Scale (NOS) for observational studies. RESULTS: A total of 8,510 records were identified through our search method, and finally, 50 studies were included in this study. The majority of the studies evaluated the association of genetic variants with preferences for macronutrients, sweet, bitter, and fatty foods. The results of our study suggest a significant correlation between TAS2R38 variants (rs713598, rs1726866, rs10246939) and bitter and sweet taste preferences. Additionally, we found a considerable association between the T102C polymorphism of the 5-HT2A receptor gene and a higher intake of protein, and rs1761667 (CD36) was associated with fat preference. CONCLUSION: In conclusion, this study revealed a significant association between certain genetic variants and food preferences among adults.
ABSTRACT
BACKGROUND: This study aims to investigate the association between dietary insulin index (DII) and load (DIL) with cardiometabolic risk factors and the risk of developing metabolic syndrome (MetS) among patients with type 2 diabetes (T2DM). METHODS: A cross-sectional study was conducted among 500 T2DM patients. Dietary intake was assessed using a validated food frequency questionnaire, and DII and DIL were calculated based on insulin response and energy content. Logistic regression analyses were performed to determine the odds ratios (ORs) for MetS. RESULTS: Participants in the highest quartile of DIL had significantly higher odds of MetS (OR: 2.16; 95% CI: 1.02-4.25, P = 0.039) and hyperglycemia (OR: 1.69; 95% CI: 1.08-4.96, P = 0.032). We also discovered that patients in the highest quartile of DII had higher odds of MetS (OR: 1.69; 95% CI: 1.08-4.96, P = 0.034) and hyperglycemia (OR: 1.39; 95% CI: 1.04-4.12, P = 0.019). Furthermore, participants in the highest quartile of DIL (OR: 1.64; 95% CI: 1.00-2.59, P = 0.03) and DII (OR: 1.42; 95% CI: 1.05-1.95, P = 0.026) had higher odds of high waist circumference. When it came to hypertriglyceridemia, we found a significant association between DII and DIL only in the crude model, not the fully adjusted model. However, we didn't observe any significant association between DII and DIL with hypercholesteremia, Low HDL, and high blood pressure (P > 0.05). CONCLUSION: Our study provides evidence suggesting that a higher DII and DIL may be associated with an increased risk of cardiometabolic risk factors and MetS in patients with T2DM.
