Alsulami Sooad, Aji A S, Ariyasra U, Sari S R, Tasrif N, Yani F F, Lovegrove J A, Sudji I R, Lipoeto N I, Vimaleswaran K S
Department of Clinical Nutrition, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, PO Box 226, Whiteknights, Reading, RG6 6AP, UK.
Genes Nutr. 2020 Oct 12;15(1):19. doi: 10.1186/s12263-020-00678-w.
Cardiometabolic diseases are complex traits which are influenced by several single nucleotide polymorphisms (SNPs). Thus, analysing the combined effects of multiple gene variants might provide a better understanding of disease risk than using a single gene variant approach. Furthermore, studies have found that the effect of SNPs on cardiometabolic traits can be influenced by lifestyle factors, highlighting the importance of analysing gene-lifestyle interactions.
In the present study, we investigated the association of 15 gene variants with cardiometabolic traits and examined whether these associations were modified by lifestyle factors such as dietary intake and physical activity.
The study included 110 Minangkabau women [aged 25-60 years and body mass index (BMI) 25.13 ± 4.2 kg/m] from Padang, Indonesia. All participants underwent a physical examination followed by anthropometric, biochemical and dietary assessments and genetic tests. A genetic risk score (GRS) was developed based on 15 cardiometabolic disease-related SNPs. The effect of GRS on cardiometabolic traits was analysed using general linear models. GRS-lifestyle interactions on continuous outcomes were tested by including the interaction term (e.g. lifestyle factor*GRS) in the regression model. Models were adjusted for age, BMI and location (rural or urban), wherever appropriate.
There was a significant association between GRS and BMI, where individuals carrying 6 or more risk alleles had higher BMI compared to those carrying 5 or less risk alleles (P = 0.018). Furthermore, there were significant interactions of GRS with protein intake on waist circumference (WC) and triglyceride concentrations (P = 0.002 and 0.003, respectively). Among women who had a lower protein intake (13.51 ± 1.18% of the total daily energy intake), carriers of six or more risk alleles had significantly lower WC and triglyceride concentrations compared with carriers of five or less risk alleles (P = 0.0118 and 0.002, respectively).
Our study confirmed the association of GRS with higher BMI and further showed a significant effect of the GRS on WC and triglyceride levels through the influence of a low-protein diet. These findings suggest that following a lower protein diet, particularly in genetically predisposed individuals, might be an effective approach for addressing cardiometabolic diseases among Southeast Asian women.
心脏代谢疾病是复杂性状,受多个单核苷酸多态性(SNP)影响。因此,分析多个基因变异的综合效应可能比使用单一基因变异方法能更好地理解疾病风险。此外,研究发现SNP对心脏代谢性状的影响会受到生活方式因素的影响,这凸显了分析基因与生活方式相互作用的重要性。
在本研究中,我们调查了15个基因变异与心脏代谢性状的关联,并检验这些关联是否会受到饮食摄入和身体活动等生活方式因素的影响。
该研究纳入了来自印度尼西亚巴东的110名米南卡保族女性[年龄25 - 60岁,体重指数(BMI)为25.13±4.2kg/m²]。所有参与者均接受了体格检查,随后进行了人体测量、生化和饮食评估以及基因检测。基于15个与心脏代谢疾病相关的SNP制定了遗传风险评分(GRS)。使用一般线性模型分析GRS对心脏代谢性状的影响。通过在回归模型中纳入交互项(如生活方式因素*GRS)来检验GRS与生活方式在连续结局上的相互作用。在适当情况下,模型对年龄、BMI和地点(农村或城市)进行了调整。
GRS与BMI之间存在显著关联,携带6个或更多风险等位基因的个体相比携带5个或更少风险等位基因的个体具有更高的BMI(P = 0.018)。此外,GRS与蛋白质摄入量在腰围(WC)和甘油三酯浓度方面存在显著交互作用(分别为P = 0.002和0.003)。在蛋白质摄入量较低(占每日总能量摄入的13.51±1.18%)的女性中,携带6个或更多风险等位基因的个体与携带5个或更少风险等位基因的个体相比,WC和甘油三酯浓度显著更低(分别为P = 0.0118和0.002)。
我们的研究证实了GRS与较高BMI的关联,并进一步表明通过低蛋白饮食的影响,GRS对WC和甘油三酯水平有显著作用。这些发现表明,尤其是在遗传易感性个体中,采用低蛋白饮食可能是解决东南亚女性心脏代谢疾病的有效方法。