一个单盲,随机,并行干预评估遗传学和omics基于个性化的营养在一般人群通过电子商务工具:PREVENTOMICS电子商务研究
Lorena Calderón-Pérez1, Xavier Escoté1, Judit Companys1
1Eurecat, Centre Tecnològic de Catalunya, Nutrition and Health Unit, Reus, Spain.
The American journal of clinical nutrition
|July 3, 2024
概括
在电子商务工具中使用omics数据的个性化营养 (PN) 并没有改善地中海饮食的遵守或健康标志物. 然而,它在一般人群中选择性地改善了代谢和炎症生物标志物.
科学领域:
- 营养科学 营养科学
- 基因组学就是基因组学.
- 代谢学 代谢学 代谢学
- 个性化医疗是个性化的医疗.
背景情况:
- 个性化营养 (PN) 旨在提高饮食建议的有效性,以改善健康.
- 奥米克数据 (遗传学,代谢学,蛋白质学) 可以为个性化的饮食策略提供信息.
研究的目的:
- 评估将基于omics的PN集成到电子商务工具中是否可以改善一般人群的饮食行为和代谢概况.
- 评估个性化营养 (PN) 和个性化计划 (PP) 对遵守地中海饮食和健康标志物的影响.
主要方法:
- 一项为期21周的随机干预,对193名成年人进行了比较,对照组 (地中海饮食),PN组和PP组 (PN+行为改变计划) 进行了比较.
- 利用代谢学,蛋白学和遗传数据,通过模拟的电子商务平台创建个性化的购物列表.
- 主要结果:地中海饮食坚持选 (MEDAS) 评分;次要结果:生物识别,代谢标志物和饮食习惯.
主要成果:
- 所有组都显示MEDAS分数显著增加;PN和对照组之间整体饮食习惯或健康参数没有显著差异.
- 与对照饮食相比,个性化推显著提高了与碳水化合物代谢,氧化应激,微生物群和炎症相关的生物标记得分.
- 电子商务工具的整合并没有比一般推带来更高的遵守或健康改善.
结论:
- 通过电子商务工具整合个性化策略并没有提高地中海饮食的坚持或改善与标准建议相比的一般健康指标.
- 该metabotyping方法显示潜力,保证进一步的研究在个性化营养应用.
- 这项研究提供了对基于OMIC的个性化营养策略有效性的宝贵见解.
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