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健康个体呼出一氧化氮(FeNO)水平的个体变异性和时间波动研究。

Investigation of Individual Variability and Temporal Fluctuations in Exhaled Nitric Oxide (FeNO) Levels in Healthy Individuals.

作者信息

Yuda Emi, Ando Tomoki, Ishida Yukihiro, Sakano Hiroyuki, Yoshida Yutaka

机构信息

Innovation Center for Semiconductor and Digital Future, Mie University, Tsu 514-0000, Japan.

Department of Management Science and Technology, Graduate School of Engineering, Tohoku University, Sendai 982-0002, Japan.

出版信息

Adv Respir Med. 2025 Jul 21;93(4):26. doi: 10.3390/arm93040026.

DOI:10.3390/arm93040026
PMID:40700057
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12286131/
Abstract

Measurement of nitric oxide (NO) concentration in exhaled breath (FeNO) is a quantitative, non-invasive, simple, and safe method for assessing airway inflammation. It serves as a complementary tool to other methods for evaluating airway diseases. However, little is known about the typical NO levels in healthy individuals, including individual differences and the influence of measurement timing. Therefore, this study classified measurement times into four periods and statistically analyzed NO levels in healthy individuals. The mean values among groups were compared using repeated measures ANOVA on six participants. The analysis showed large individual variations in NO levels, resulting in no significant difference ( = 0.29). Notably, greater fluctuations were observed in the morning. These findings align with previous studies suggesting the influence of circadian rhythms and the redundancy of repeated measurements. This study highlights the need to consider timing and individual variability when using FeNO as a physiological marker in healthy populations.

摘要

测量呼出气中一氧化氮(NO)浓度(FeNO)是一种用于评估气道炎症的定量、非侵入性、简单且安全的方法。它是评估气道疾病的其他方法的补充工具。然而,对于健康个体的典型NO水平,包括个体差异和测量时间的影响,人们了解甚少。因此,本研究将测量时间分为四个时段,并对健康个体的NO水平进行了统计分析。对六名参与者使用重复测量方差分析比较了各组的平均值。分析显示NO水平存在较大的个体差异,结果无显著差异( = 0.29)。值得注意的是,早晨观察到的波动更大。这些发现与先前关于昼夜节律影响和重复测量冗余性的研究一致。本研究强调在健康人群中将FeNO用作生理标志物时需要考虑测量时间和个体变异性。

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Adv Respir Med. 2025 Jul 21;93(4):26. doi: 10.3390/arm93040026.
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本文引用的文献

1
Mobile Diagnostic Clinics.移动诊断诊所。
ACS Sens. 2024 Jun 28;9(6):2777-2792. doi: 10.1021/acssensors.4c00636. Epub 2024 May 22.
2
Blood eosinophils and fractional exhaled nitric oxide are prognostic and predictive biomarkers in childhood asthma.血液嗜酸性粒细胞和呼出气一氧化氮分数是儿童哮喘的预后和预测生物标志物。
J Allergy Clin Immunol. 2024 Jul;154(1):101-110. doi: 10.1016/j.jaci.2023.09.044. Epub 2024 Jan 23.
3
Exhaled nitric oxide (FeNO): Bridging a knowledge gap in asthma diagnosis and treatment.呼出一氧化氮(FeNO):弥合哮喘诊断与治疗中的知识差距。
Clin Exp Allergy. 2023 Aug;53(8):791-793. doi: 10.1111/cea.14374.
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Exhaled biomarkers in adults with non-productive cough.成人非渗出性咳嗽的呼出气生物标志物。
Respir Res. 2023 Mar 1;24(1):65. doi: 10.1186/s12931-023-02341-5.
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Exhaled nitric oxide in asthma: from diagnosis to management.哮喘呼气一氧化氮:从诊断到管理。
Curr Opin Allergy Clin Immunol. 2023 Feb 1;23(1):29-35. doi: 10.1097/ACI.0000000000000877. Epub 2022 Nov 24.
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An Evidence-Based Review of Application Devices for Nitric Oxide Concentration Determination from Exhaled Air in the Diagnosis of Inflammation and Treatment Monitoring.基于证据的综述:应用设备在呼气一氧化氮浓度测定中的应用,用于炎症诊断和治疗监测。
Molecules. 2022 Jul 3;27(13):4279. doi: 10.3390/molecules27134279.
7
Understanding the Cellular Sources of the Fractional Exhaled Nitric Oxide (FeNO) and Its Role as a Biomarker of Type 2 Inflammation in Asthma.理解呼出气一氧化氮(FeNO)的细胞来源及其在哮喘 2 型炎症中的生物标志物作用。
Biomed Res Int. 2022 May 2;2022:5753524. doi: 10.1155/2022/5753524. eCollection 2022.
8
Review of the algorithms used in exhaled breath analysis for the detection of diabetes.呼气分析检测糖尿病的算法综述。
J Breath Res. 2022 Jan 26;16(2). doi: 10.1088/1752-7163/ac4916.
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Derivation of a prototype asthma attack risk scale centred on blood eosinophils and exhaled nitric oxide.基于血液嗜酸性粒细胞和呼出气一氧化氮的哮喘发作风险原型量表的推导。
Thorax. 2022 Feb;77(2):199-202. doi: 10.1136/thoraxjnl-2021-217325. Epub 2021 Aug 6.
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Clinical Values of Nitric Oxide Parameters from the Respiratory System.呼吸系统中一氧化氮参数的临床价值。
Curr Med Chem. 2020;27(42):7189-7199. doi: 10.2174/0929867327666200603141847.