探索呼吸代谢学作为检测肺血管疾病的非侵入性工具
Sarah Basler1,2, Kai Fricke1,2, Noriane A Sievi1,2
1Department of Pulmonology, University Hospital Zurich, Raemistrasse 100, Zurich 8091, Switzerland.
European heart journal open
|June 6, 2025
概括
呼吸分析可以检测肺血管疾病 (PVD),并区分肺动脉高血压 (PAH) 和慢性血栓栓塞性肺高血压 (CTEPH). 这种非侵入性工具对早期PVD诊断和有针对性的治疗策略有前途.
科学领域:
- 肺部医学 肺部医学
- 代谢学 代谢学 代谢学
- 诊断技术 诊断技术 诊断技术
背景情况:
- 肺血管疾病 (PVD) 带来了诊断挑战,需要新的非侵入性方法.
- 早期检测和PVD亚型分化对于有效治疗至关重要.
研究的目的:
- 评估呼吸代谢组概况,以检测PVD患者与健康对照.
- 研究呼吸分析在区分肺动脉高血压 (PAH) 和慢性血栓栓塞性肺高血压 (CTEPH) 中的潜力.
主要方法:
- 使用实时呼吸分析来比较呼吸形状.
- 途径丰富分析确定了代谢途径.
- 使用75名PVD患者和115名健康对照的呼吸代谢数据开发了预测模型.
主要成果:
- 预测模型实现了PVD检测的AUC为0.917和区分PAH和CTEPH的AUC为0.764.
- 在PVD患者中观察到显著的代谢变化,特别是在新的脂肪酸合成和激活中.
- 呼吸样本显示PVD患者和健康人群之间存在可检测的差异.
结论:
- 呼吸分析是一种有前途的非侵入性实时诊断工具,用于PVD.
- 呼吸形状的可检测差异支持识别PVD生物标志物的可行性.
- 进一步的研究可以探索呼吸分析以区分PVD亚型,如PAH和CTEPH.
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