微量营养素与COVID-19的密切关联
Aimin Zhang1, Yue Yin1, Jiashu Tian1
1Department of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Heliyon
|April 9, 2024
概括
在COVID-19患者中,微量营养素水平发生变化. 使用六个关键微量营养素的模型有效预测COVID-19风险,并有助于识别高风险个体,用于预防策略.
科学领域:
- 营养生物化学 营养生物化学
- 传染病研究传染病研究.
- 发现生物标志物的发现.
背景情况:
- 微量营养素的状态对于免疫功能至关重要.
- 微量营养素的失调可能会影响COVID-19的易感性和严重性.
- 了解这些关联可以为预防和治疗策略提供信息.
研究的目的:
- 研究各种微量营养素在预测和预防COVID-19中的作用.
- 为了确定与COVID-19相关的特定微量营养素模式.
- 开发一个用于COVID-19风险评估的预测模型.
主要方法:
- 一项观察性病例控制研究,涉及149名正常对照和214名COVID-19患者.
- 使用LC-MS/MS量化脂肪和水溶性维生素的量化.
- 通过ICP-MS检测无机元素,然后使用DxAI平台进行后勤回归建模.
主要成果:
- 在COVID-19患者和正常对照者之间观察到微量营养素水平的显著差异.
- 25-氧维生素D3,,铜,和维生素B6被确定为COVID-19的独立风险因素.
- 一个包含六种微量营养素的后勤回归模型显示出强大的区分能力 (AUROC = 0.901) 和轻度/正常COVID-19的预测能力 (AUROC = 0.883).
结论:
- 微量营养素状况与COVID-19有显著的关联.
- 开发的后勤回归模型显示了临床管理,预测和高风险人口查的潜力.
- 对预防和治疗COVID-19的基于微量营养素的干预措施的进一步研究是有必要的.
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