George Steven C, Hogman Marieann, Permutt Solbert, Silkoff Philip E
Department of Chemical Engineering and Materials Science, University of California, Irvine 92697-2575, USA.
J Appl Physiol (1985). 2004 Mar;96(3):831-9. doi: 10.1152/japplphysiol.00950.2003.
Nitric oxide (NO) was first detected in the exhaled breath more than a decade ago and has since been investigated as a noninvasive means of assessing lung inflammation. Exhaled NO arises from the airway and alveolar compartments, and new analytical methods have been developed to characterize these sources. A simple two-compartment model can adequately represent many of the observed experimental observations of exhaled concentration, including the marked dependence on exhalation flow rate. The model characterizes NO exchange by using three flow-independent exchange parameters. Two of the parameters describe the airway compartment (airway NO diffusing capacity and either the maximum airway wall NO flux or the airway wall NO concentration), and the third parameter describes the alveolar region (steady-state alveolar NO concentration). A potential advantage of the two-compartment model is the ability to partition exhaled NO into an airway and alveolar source and thus improve the specificity of detecting altered NO exchange dynamics that differentially impact these regions of the lungs. Several analytical techniques have been developed to estimate the flow-independent parameters in both health and disease. Future studies will focus on improving our fundamental understanding of NO exchange dynamics, the analytical techniques used to characterize NO exchange dynamics, as well as the physiological interpretation and the clinical relevance of the flow-independent parameters.
一氧化氮(NO)早在十多年前就首次在呼出气体中被检测到,此后一直作为评估肺部炎症的一种非侵入性手段进行研究。呼出的NO来自气道和肺泡腔室,并且已经开发出新的分析方法来表征这些来源。一个简单的双室模型可以充分代表许多观察到的呼出浓度的实验观察结果,包括对呼气流量的显著依赖性。该模型通过使用三个与流量无关的交换参数来表征NO交换。其中两个参数描述气道腔室(气道NO扩散容量以及最大气道壁NO通量或气道壁NO浓度),第三个参数描述肺泡区域(稳态肺泡NO浓度)。双室模型的一个潜在优势是能够将呼出的NO分为气道来源和肺泡来源,从而提高检测对肺部这些区域有不同影响的NO交换动态变化的特异性。已经开发了几种分析技术来估计健康和疾病状态下与流量无关的参数。未来的研究将集中在提高我们对NO交换动态、用于表征NO交换动态的分析技术以及与流量无关参数的生理学解释和临床相关性的基本理解上。