Potential Mechanisms of Precision Nutrition-Based Interventions for Managing Obesity

IF 8 1区 医学 Q1 NUTRITION & DIETETICS
Neel H Mehta , Samantha L Huey , Rebecca Kuriyan , Juan Pablo Peña-Rosas , Julia L Finkelstein , Sangeeta Kashyap , Saurabh Mehta
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Abstract

Precision nutrition (PN) considers multiple individual-level and environmental characteristics or variables to better inform dietary strategies and interventions for optimizing health, including managing obesity and metabolic disorders. Here, we review the evidence on potential mechanisms—including ones to identify individuals most likely to respond—that can be leveraged in the development of PN interventions addressing obesity. We conducted a review of the literature and included laboratory, animal, and human studies evaluating biochemical and genetic data, completed and ongoing clinical trials, and public programs in this review. Our analysis describes the potential mechanisms related to 6 domains including genetic predisposition, circadian rhythms, physical activity and sedentary behavior, metabolomics, the gut microbiome, and behavioral and socioeconomic characteristics, i.e., the factors that can be leveraged to design PN-based interventions to prevent and treat obesity-related outcomes such as weight loss or metabolic health as laid out by the NIH 2030 Strategic Plan for Nutrition Research. For example, single nucleotide polymorphisms can modify responses to certain dietary interventions, and epigenetic modulation of obesity risk via physical activity patterns and macronutrient intake have also been demonstrated. Additionally, we identified limitations including questions of equitable implementation across a limited number of clinical trials. These include the limited ability of current PN interventions to address systemic influences such as supply chains and food distribution, healthcare systems, racial or cultural inequities, and economic disparities, particularly when designing and implementing PN interventions in low- and middle-income communities. PN has the potential to help manage obesity by addressing intra- and inter-individual variation as well as context, as opposed to “one-size fits all” approaches though there is limited clinical trial evidence to date.

基于精准营养的肥胖管理干预措施的潜在机制。
精准营养(PN)考虑了多种个体和环境特征或变量,以便为优化健康(包括控制肥胖和代谢紊乱)的饮食策略和干预措施提供更好的信息。在此,我们回顾了有关潜在机制的证据--包括确定最有可能做出反应的机制--这些机制可在制定针对肥胖的 PN 干预措施时加以利用。我们对文献进行了综述,并将评估生化和遗传数据的实验室、动物和人体研究、已完成和正在进行的临床试验以及公共项目纳入了本综述。我们的分析描述了与六个领域相关的潜在机制,包括遗传易感性、昼夜节律、体力活动和久坐行为、代谢组学、肠道微生物组以及行为和社会经济特征;也就是说,可以利用这些因素来设计基于营养素的干预措施,以预防和治疗肥胖相关的结果,如《美国国立卫生研究院 2030 年营养研究战略计划》中规定的体重减轻或代谢健康。例如,单核苷酸多态性(SNPs)可改变对某些饮食干预措施的反应,通过体育锻炼模式和宏量营养素摄入对肥胖风险的表观遗传调节也已得到证实。此外,我们还发现了一些局限性,包括在数量有限的临床试验中公平实施的问题。这包括目前的营养营养干预措施在解决供应链和食品分配、医疗保健系统、种族或文化不平等以及经济差距等系统性影响方面能力有限,尤其是在中低收入社区设计和实施营养营养干预措施时。与 "一刀切 "的标准化干预措施相比,营养营养餐有可能通过解决个体间的差异来治疗肥胖症,尽管目前的临床试验证据还很有限。意义声明:通过基因和微生物组评估、生活方式模式分析以及表型分析来优化个体层面的饮食策略和干预措施,可能有助于提高我们调节和/或管理肥胖相关的个体化生理因素的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Nutrition
Advances in Nutrition 医学-营养学
CiteScore
17.40
自引率
2.20%
发文量
117
审稿时长
56 days
期刊介绍: Advances in Nutrition (AN/Adv Nutr) publishes focused reviews on pivotal findings and recent research across all domains relevant to nutritional scientists and biomedical researchers. This encompasses nutrition-related research spanning biochemical, molecular, and genetic studies using experimental animal models, domestic animals, and human subjects. The journal also emphasizes clinical nutrition, epidemiology and public health, and nutrition education. Review articles concentrate on recent progress rather than broad historical developments. In addition to review articles, AN includes Perspectives, Letters to the Editor, and supplements. Supplement proposals require pre-approval by the editor before submission. The journal features reports and position papers from the American Society for Nutrition, summaries of major government and foundation reports, and Nutrient Information briefs providing crucial details about dietary requirements, food sources, deficiencies, and other essential nutrient information. All submissions with scientific content undergo peer review by the Editors or their designees prior to acceptance for publication.
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