■不断升级的全球肥胖流行和个性化医疗策略的出现表明,迫切需要调查遗传风险评分(GRS)之间的相互作用,饮食摄入量,以及它们对体重状况的综合影响。本系统综述综合了来自不同研究的证据,以阐明饮食模式和个体食物如何与肥胖的遗传易感性相互作用。
■文献检索在PubMed中进行,Embase,科学直接,和Scopus数据库,直到2023年8月,遵循PRISMA指南。在575篇文章中,15篇文章研究了体重指数的遗传风险评分与体重结果的饮食摄入量之间的相互作用,符合纳入标准。所有纳入的研究均为横断面设计,并使用纽卡斯尔-渥太华量表进行质量评估。
■不健康的饮食摄入加剧了肥胖的遗传倾向,在评估西方饮食的研究中显而易见,硫微生物日粮,和个体常量营养素,包括饱和脂肪酸,含糖饮料和油炸食品。相反,坚持更健康的饮食摄入减轻了肥胖的遗传易感性,正如在涉及替代健康饮食指数的研究中观察到的那样,替代地中海饮食,停止高血压的饮食方法评分,健康的植物性饮食,和特定的食物,如水果,蔬菜,和n-3多不饱和脂肪酸。
■这是第一个系统综述,旨在探讨遗传和饮食摄入在影响肥胖结局方面的相互作用。这些发现对量身定制的干预措施有影响;然而,需要更多具有稳健设计的对照临床试验,以便能够基于营养推荐个性化营养,用于肥胖预防和管理.
UNASSIGNED: The escalating global obesity epidemic and the emergence of personalized medicine strategies point to the pressing need to investigate the interplay between genetic risk scores (GRSs), dietary intake, and their combined impact on weight status. This systematic
review synthesizes evidence from diverse studies to elucidate how dietary patterns and individual foods interact with genetic predisposition to obesity.
UNASSIGNED: Literature searches were conducted in the PubMed, Embase, Science Direct, and Scopus databases until August 2023, following PRISMA guidelines. Out of 575 articles, 15 articles examining the interaction between genetic risk score for body mass index and dietary intake on weight outcomes met the inclusion criteria. All included studies were cross-sectional in design and were assessed for quality using the Newcastle‒Ottawa Scale.
UNASSIGNED: Unhealthy dietary intake exacerbated the genetic predisposition to obesity, evident in studies assessing Western diet, sulfur microbial diet, and individual macronutrients, including saturated fatty acids, sugar-sweetened beverages and fried foods. Conversely, adhering to healthier dietary intake mitigated the genetic predisposition to obesity, as observed in studies involving Alternative Healthy Eating Index, Alternative Mediterranean Diet, Dietary Approach to Stop Hypertension scores, healthy plant-based diets, and specific foods such as fruits, vegetables, and n-3 polyunsaturated fatty acids.
UNASSIGNED: This is the first systematic
review to explore the interaction between genetics and dietary intake in shaping obesity outcomes. The findings have implications for tailored interventions; however, more controlled clinical trials with robust designs are needed to be able to recommend personalized nutrition based on nutrition for obesity prevention and management.