肥胖的遗传风险评分和饮食和运动干预计划的有效性:一项历史上的队列研究
Sho Nakamura1,2,3, Miho Yanai4, Amane Eto5
1Graduate School of Health Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan.
Obesity (Silver Spring, Md.)
|December 28, 2025
概括
遗传风险评分 (GRS) 不能预测日本人的体重减轻. 然而,结合遗传和表型数据的效率得分有效预测了干预结果,有助于个性化体重管理.
科学领域:
- 遗传学和个性化医学
- 肥胖问题研究研究
- 生物统计学 生物统计学
背景情况:
- 遗传风险评分 (GRS) 对日本人口肥胖干预反应的预测价值尚不清楚.
- 肥胖干预通常具有可变的成功率,凸显了个性化策略的必要性.
研究的目的:
- 调查GRS在预测日本个体进行饮食和运动干预的减肥结果中的作用.
- 引入和评估一个新的效率得分,来自数据包裹分析 (DEA),用于预测干预成功.
主要方法:
- 对145名完成了8-12周低碳水化合物饮食和抵抗训练计划的日本个人的回顾性分析.
- 从75个单核酸多态 (SNP) 来计算GRS.
- 应用DEA生成效率得分使用GRS (遗传负载) 和初始BMI/体脂百分比 (表型状态) 作为输入/输出;用于预测效用比较的线性回归.
主要成果:
- 综合饮食和运动干预导致BMI和其他指标的减少.
- 由DEA衍生的效率得分显著预测了BMI百分比变化.
- 仅GRS本身并没有显示出对干预结果的预测效用.
结论:
- 体重减轻的成功是独立于GRS.
- 与单独使用GRS相比,GRS衍生的效率得分显示出对干预有效性的优越预测能力.
- 结合遗传和表型数据的综合指标显示,个性化体重管理策略具有前景,因此需要进一步研究.
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