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综合呼出VOC和临床生物标志物分析,用于预测喘和COPD患者的支气管扩展剂反应
Malika Mustafina1,2,3, Artemiy Silantyev4, Aleksander Suvorov4
1Department of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenovskiy University), 119991 Moscow, Russia.
Diagnostics (Basel, Switzerland)
|November 13, 2025
概括
呼出的挥发性有机化合物 (VOC) 可以将喘和COPD与健康个体区分开来. 将VOC与临床标记物相结合,可以准确预测阻塞性肺部疾病中支气管扩展剂反应率 (BDR).
科学领域:
- 肺部医学 肺部医学
- 分析化学 分析化学
- 生物标志物发现发现
背景情况:
- 喘 (BA) 和慢性阻塞性肺病 (COPD) 是常见的阻塞性肺病,具有共同的症状但不同的炎症.
- 支气管扩展剂反应 (BDR) 对于诊断至关重要,但其代谢基础仍然不清楚.
- 了解代谢差异可以帮助区分这些疾病并预测治疗反应.
研究的目的:
- 为了确定是否呼出的挥发性有机化合物 (VOC) 和临床生物标志物可以区分喘,COPD和健康状态.
- 研究这些生物标志物对支气管扩展剂反应 (BDR) 的预测能力.
- 探索呼吸分析和临床免疫学之间的协同作用,以实现个性化阻塞性肺病管理.
主要方法:
- 一项涉及160名喘患者,128名慢性肺炎患者和254名健康对照者的横截面研究.
- 使用质子转移反应飞行时间质谱法 (PTR-TOF-MS) 来实时分析呼出的呼吸.
- 临床评估包括螺旋测量,FeNO,血液中乙氨基和IgE,并使用机器学习 (XGBoost) 进行分析.
主要成果:
- 独特的VOC档案将疾病组与对照组以及彼此区分开来,准确度很高 (AUC从0.710到0.856不等).
- 挥发性有机物和临床生物标志物 (FeNO,乙素,IgE) 的组合模型在预测BDR方面取得了高准确性 (潮呼吸的AUC = 1.000,强迫呼吸的0.970).
- 特定的VOCs (m/z 79,m/z 101) 与积极的BDR.有很强的联系.
结论:
- 确定了特定疾病的VOC标志,突出了喘,COPD和健康对照之间的差异.
- 呼气代谢学和临床免疫学之间存在强大的协同作用,用于预测治疗反应.
- 实时呼吸分析为阻塞性肺部疾病的个性化管理策略提供了希望.
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