一个基于系统生物学的数学模型证明了多营养素植物配方对抗压力的潜在有效性
Abha Saxena1, Kaushiki S Prabhudesai1, Aparna Damle2
1MetFlux Research Private Limited, Bengaluru, India.
Scientific reports
|April 26, 2024
概括
这项研究表明,一种多营养素植物配方显著减少了身体,精神,氧化和炎症压力. 含有Gotukola的配方有效地改善了85%的个体的压力参数,表明其作为抗压补充剂的潜力.
科学领域:
- 营养科学 营养科学
- 压力研究 压力研究
- 计算生物学是一种计算生物学.
背景情况:
- 压力通过HPA轴激活和皮质醇释放对生理和心理健康产生负面影响.
- 具有抗氧化和抗炎性能的营养补充剂是压力管理的常见方法.
- 关于维生素,矿物质和植物对压力的联合作用的研究有限.
研究的目的:
- 研究一种多营养植物配方 (Nutrilite Daily Plus) 对临床压力参数的影响.
- 用数学模型量化人口层面的压力调节效应.
- 评估基于Gotukola的配方作为抗压干预的潜力.
主要方法:
- 利用定制的亚临床炎症数学模型来评估压力调节效应.
- 量化的人口级压力参数,包括活性氧物种 (ROS),TNF-α,血压,皮质醇水平和感知压力量表 (PSS) 分数.
- 为了预测配方的疗效,在体研究中进行.
主要成果:
- 多营养植物配方显著降低了身体压力 (75%),精神压力 (70%),氧化压力 (55%) 和炎症压力 (75%).
- 关键的压力生物标志物,如ROS,TNF-α,血压,皮质醇和PSS得分,在个人和人口水平上都显示出减少.
- 干预导致85%的个体走向健康状态,这表明显著的压力减轻.
结论:
- 基于Gotukola的Nutrilite Daily Plus配方显示出作为一种有效的抗压干预措施的承诺.
- 结合植物和微量营养素的干预措施可以显著缓解各种形式的压力.
- 数学建模为量化从营养干预中获得的人口层面压力减轻提供了有价值的工具.
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