明智地选择甜味剂——儿童肥胖的营养学研究。

IF 4.1 2区 医学 Q2 NUTRITION & DIETETICS
Daniel Wang Qiu, Chia-Min Kuo, Shih-Yuan Hsu, Emily Chia-Yu Su, San-Yuan Wang, Jia-Woei Hou, Meng-Che Tsai, Chen Yang, Yang-Ching Chen
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引用次数: 0

摘要

背景:本研究调查了特定的甜味和肥胖相关基因与儿童甜味剂消费模式的关系,以及这些遗传因素与甜味剂摄入对儿童肥胖风险的相互作用。通过利用台湾青春期纵向研究(TPLS)的数据,本研究将成人研究中常见的环境混杂因素的影响降至最低,对儿童和青少年人群的这些关系提供了更精确的理解。方法:TPLS的参与者接受了基因采样、人体测量、青春期阶段评估、饮食回忆和相关生活方式变量的测量。使用经过验证的非营养性甜味剂食物频率问卷(NNS- ffq)评估非营养性甜味剂(NNS)的摄入量。统计分析采用逻辑回归来调查基因型和甜味剂消费之间的相关性,同时考虑到潜在的混杂因素,如父母教育和家庭收入。同时,该研究考察了基因与甜味剂的相互作用,以评估特定等位基因与特定甜味剂消费模式之间的关系。结果:食用特定的人造甜味剂——乙酰磺胺钾、三氯蔗糖和甜菊——与较低的身体质量指数(BMI) z分数和较低的体脂率有关。相互作用分析表明,三氯蔗糖摄入量和甜味基因之间的相互作用对腰臀比有显著的正相关。遗传分析显示,肥胖相关基因(如ADCY9和TFAP2B)和甜味受体基因(如TAS1R2和TAS1R3)与甜味剂摄入之间存在显著关联,这可能影响肥胖的易感性。值得注意的是,rs7498665与BMI z评分显著相关,强调了其在肥胖易感性中的作用。结论:这些发现强调了甜味剂消费的遗传基础及其与遗传变异对儿童肥胖风险的相互作用,为促进公众健康和制定个性化营养策略提供了有价值的见解。未来的研究需要涉及更大的样本,并考虑遗传和环境因素,以制定个性化的营养策略,旨在有效地对抗儿童肥胖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Choosing sweeteners wisely-nutrigenetic study on childhood obesity.

Choosing sweeteners wisely-nutrigenetic study on childhood obesity.

Background: This study investigated the association of specific sweet-taste and obesity-related genes with sweetener consumption patterns among children and the interaction between these genetic factors and sweetener intake on the risk of childhood obesity. By leveraging data from the Taiwanese Pubertal Longitudinal Study (TPLS), the current study minimized the influence of environmental confounders commonly encountered in adult studies, offering a more precise understanding of these relationships in pediatric and adolescent populations.

Methods: Participants in the TPLS underwent genetic sampling, anthropometric measurements, puberty stage assessments, dietary recall, and measurements of relevant lifestyle variables. Nonnutritive sweetener (NNS) intake was assessed using the validated Nonnutritive Sweetener Food Frequency Questionnaire (NNS-FFQ). The statistical analysis employs logistic regression to investigate the correlations between genotypes and sweetener consumption, while accounting for potential confounders such as parental education and household income. Simultaneously, the study examines gene-sweetener interactions to assess the association between specific alleles and particular sweetener consumption patterns.

Results: Higher consumption of specific artificial sweeteners-acesulfame potassium, sucralose, and steviol-was associated with lower body mass index (BMI) Z-scores and reduced body fat percentage. The interaction analyses indicated a significantly positive association of the interaction between sucralose consumption and sweet-taste genes on the waist-hip ratio. Genetic analysis revealed significant associations between obesity-related genes (e.g., ADCY9 and TFAP2B) and sweet-taste receptor genes (e.g., TAS1R2 and TAS1R3) with sweetener consumption, which may influence susceptibility to obesity. Notably, rs7498665 was significantly associated with BMI Z-scores, underscoring its role in obesity predisposition.

Conclusions: These findings highlight the genetic underpinnings of sweetener consumption and its interactive effects with genetic variants on childhood obesity risk, providing valuable insights for promoting public health and developing personalized nutrition strategies. Future research involving larger samples and consideration of genetic and environmental factors is required to develop personalized nutrition strategies aimed at effectively combating childhood obesity.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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