为呼吸系统疾病的宿主反应生物签名提供证据
Kelly E Dooley1,2, Michael Morimoto3, Piotr Kaszuba4
1Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Viruses
|July 30, 2025
概括
一种新的振动声学方法通过分析肺部生物力学来检测COVID-19,为早期病毒威胁检测提供了一个有希望的,非侵入性的诊断工具. 这种基于宿主的方法可以彻底改变流行病的准备.
科学领域:
- 生物医学工程 生物医学工程
- 传染性疾病 传染性疾病
- 诊断技术 诊断技术的使用
背景情况:
- 新兴的病毒威胁如SARS-CoV,MERS-CoV和SARS-CoV-2突出了早期检测的关键差距.
- 目前的诊断以病原体为重点,往往无法在最早的阶段识别感染.
- 迫切需要一种无病毒,基于宿主的诊断来检测对病毒入侵的反应.
研究的目的:
- 研究病毒感染导致的肺部生物力学变化是否可以通过低听力振动声学信号检测.
- 开发和验证基于宿主的诊断工具,用于早期检测病毒感染,特别是COVID-19.
- 评估被动振动声学听觉在识别宿主对病毒入侵反应的有效性.
主要方法:
- 一个匹配的病例控制研究,涉及19名COVID-19住院患者和16名对照.
- 收集多模式数据,包括被动振动声学听觉,肺部超声波,呼吸流量峰值和实验室标记.
- 在前胸部振动声学记录上训练机器学习模型,以识别宿主响应生物信号.
主要成果:
- 来自前胸部的振动声学数据可靠地将COVID-19病例与对照区分开来.
- 性能最好的模型实现了1.0的曲线下面积 (AUC),具有100%的灵敏度和99.6%的特异性.
- 被动的,非侵入性的振动声学生物标志显示出检测宿主对病毒感染的反应的能力.
结论:
- 这项概念验证研究验证了振动声学信号作为检测宿主对病毒感染反应的可行方法.
- 这些发现支持开发可扩展的,基于宿主的诊断,用于早期,不可知论地检测未来的流行病威胁.
- 建议在更广泛的人群中进行进一步的测试,以确定这种非侵入性诊断方式的临床效用.
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