Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, Fuli Institute of Food Science, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.
Department of Nutrition, School of Public Health, and Department of Clinical Nutrition of Affiliated Second Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Diabetes Care. 2021 Nov;44(11):2470-2479. doi: 10.2337/dc21-1051. Epub 2021 Aug 25.
To assess the interactions between diet quality and genetic predisposition to incident type 2 diabetes (T2D).
Between 2006 and 2010, 357,419 participants with genetic and complete dietary data from the UK Biobank were enrolled and prospectively followed up to 2017. The genetic risk score (GRS) was calculated on the basis of 424 variants associated with T2D risk, and a higher GRS indicates a higher genetic predisposition to T2D. The adherence to a healthy diet was assessed by a diet quality score comprising 10 important dietary components, with a higher score representing a higher overall diet quality.
There were 5,663 incident T2D cases documented during an average of 8.1 years of follow-up. A significant negative interaction was observed between the GRS and the diet quality score. After adjusting for major risk factors, per SD increment in the GRS and the diet quality score was associated with a 54% higher and a 9% lower risk of T2D, respectively. A simultaneous increment of 1 SD in both the diet quality score and GRS was additionally associated with a 3% lower T2D risk due to the antagonistic interaction. In categorical analyses, a sharp reduction of 23% in T2D risk associated with a 1-SD increment in the diet quality score was detected among participants in the extremely high GRS group (GRS >95%). We also observed a strong negative interaction between the GRS and the diet quality score on the blood HbA level at baseline ( < 0.001).
The adherence to a healthy diet was associated with more reductions in blood HbA levels and subsequent T2D risk among individuals with a higher genetic risk. Our findings support tailoring dietary recommendations to an individual's genetic makeup for T2D prevention.
评估饮食质量与 2 型糖尿病(T2D)发病遗传易感性之间的相互作用。
2006 年至 2010 年间,英国生物库招募了 357419 名具有遗传和完整饮食数据的参与者,并前瞻性随访至 2017 年。基于与 T2D 风险相关的 424 个变异,计算了遗传风险评分(GRS),GRS 越高表示 T2D 的遗传易感性越高。通过包含 10 个重要饮食成分的饮食质量评分来评估饮食的依从性,得分越高表示整体饮食质量越高。
在平均 8.1 年的随访期间,共记录到 5663 例 T2D 新发病例。观察到 GRS 与饮食质量评分之间存在显著的负交互作用。在调整主要危险因素后,GRS 和饮食质量评分每增加一个标准差,T2D 的风险分别增加 54%和降低 9%。由于拮抗相互作用,同时增加 1 个标准差的饮食质量评分和 GRS 与 T2D 风险降低 3%相关。在分类分析中,在 GRS 极高(GRS>95%)组的参与者中,饮食质量评分增加 1 个标准差与 T2D 风险降低 23%相关。我们还观察到 GRS 与饮食质量评分在基线时的血液 HbA 水平之间存在强烈的负交互作用(<0.001)。
在遗传风险较高的个体中,遵循健康饮食与降低血液 HbA 水平和随后的 T2D 风险相关。我们的发现支持根据个体的遗传构成制定针对 T2D 的饮食建议。