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深呼吸:利用呼吸分析检测疾病。

The Great Exhale: Using Breath Analysis to Detect Disease.

出版信息

IEEE Pulse. 2020 May-Jun;11(3):7-11. doi: 10.1109/MPULS.2020.2993684.

DOI:10.1109/MPULS.2020.2993684
PMID:32584769
Abstract

Your breath gives away a lot of information. Besides betraying that you've had garlic or onions for lunch, it also contains volatile organic compounds (VOCs) that provide quite telling biomarkers of disease. Building on the potential capability of VOCs to detect illness, the U.K. company Owlstone Medical is now developing a testing platform called Breath Biopsy [1] as a noninvasive diagnostic method and is collaborating with clinicians, researchers, and other biomedical companies around the world on its potential application for early detection of various cancers, respiratory illnesses, and immune diseases.

摘要

你的呼吸泄露了很多信息。除了暴露出你午餐吃了大蒜或洋葱,它还包含挥发性有机化合物(VOCs),这些化合物为疾病提供了非常有意义的生物标志物。基于 VOC 检测疾病的潜在能力,英国公司 Owlstone Medical 现在正在开发一种名为 Breath Biopsy 的测试平台[1],作为一种非侵入性诊断方法,并与世界各地的临床医生、研究人员和其他生物医学公司合作,研究其在各种癌症、呼吸道疾病和免疫性疾病的早期检测中的潜在应用。

相似文献

1
The Great Exhale: Using Breath Analysis to Detect Disease.深呼吸:利用呼吸分析检测疾病。
IEEE Pulse. 2020 May-Jun;11(3):7-11. doi: 10.1109/MPULS.2020.2993684.
2
Evidence of endogenous volatile organic compounds as biomarkers of diseases in alveolar breath.内源性挥发性有机化合物作为肺泡呼出气中疾病生物标志物的证据。
Ann Pharm Fr. 2013 Jul;71(4):203-15. doi: 10.1016/j.pharma.2013.05.002. Epub 2013 Jun 17.
3
A multiple-method comparative study using GC-MS, AMDIS and in-house-built software for the detection and identification of "unknown" volatile organic compounds in breath.一种使用 GC-MS、AMDIS 和内部构建软件的多种方法比较研究,用于检测和识别呼吸中的“未知”挥发性有机化合物。
J Mass Spectrom. 2021 Oct;56(10):e4782. doi: 10.1002/jms.4782.
4
Non-invasive detection of renal disease biomarkers through breath analysis.通过呼吸分析进行无创性肾脏疾病生物标志物检测。
J Breath Res. 2024 Jan 5;18(2). doi: 10.1088/1752-7163/ad15fb.
5
Analysis of volatile organic compounds in exhaled breath by gas chromatography-mass spectrometry combined with chemometric analysis.气相色谱-质谱联用结合化学计量学分析呼出气中的挥发性有机化合物
Methods Mol Biol. 2014;1198:251-63. doi: 10.1007/978-1-4939-1258-2_16.
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Detection of volatile organic compounds (VOCs) from exhaled breath as noninvasive methods for cancer diagnosis.检测呼出气体中的挥发性有机化合物(VOCs)作为癌症诊断的非侵入性方法。
Anal Bioanal Chem. 2016 Apr;408(11):2759-80. doi: 10.1007/s00216-015-9200-6. Epub 2015 Dec 16.
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Volatile organic compounds (VOCs) in exhaled breath of patients with breast cancer in a clinical setting.临床环境中乳腺癌患者呼出气体中的挥发性有机化合物(VOCs)
Ginekol Pol. 2012 Oct;83(10):730-6.
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Noninvasive analysis of volatile biomarkers in human emanations for health and early disease diagnosis.用于健康和早期疾病诊断的人体散发物中挥发性生物标志物的无创分析。
Bioanalysis. 2013 Jun;5(11):1443-59. doi: 10.4155/bio.13.85.
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The potential of volatile organic compounds-based breath analysis for COVID-19 screening: a systematic review & meta-analysis.基于挥发性有机化合物的呼气分析在 COVID-19 筛查中的应用潜力:系统评价与荟萃分析。
Diagn Microbiol Infect Dis. 2022 Feb;102(2):115589. doi: 10.1016/j.diagmicrobio.2021.115589. Epub 2021 Oct 30.
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Breathing new life into clinical testing and diagnostics: perspectives on volatile biomarkers from breath.为临床检测和诊断注入新活力:呼气挥发性生物标志物的研究进展。
Crit Rev Clin Lab Sci. 2022 Aug;59(5):353-372. doi: 10.1080/10408363.2022.2038075. Epub 2022 Feb 21.

引用本文的文献

1
Development of a semi-automated volatile organic compounds (VOCs) sampling system for field asymmetric ion mobility spectrometry (FAIMS) analysis.用于现场非对称离子迁移谱(FAIMS)分析的半自动挥发性有机化合物(VOCs)采样系统的开发。
HardwareX. 2022 Aug 10;12:e00344. doi: 10.1016/j.ohx.2022.e00344. eCollection 2022 Oct.
2
Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose.基于特征聚类和评分的混合学习方法,用于增强电子鼻对 COVID-19 呼吸分析。
Artif Intell Med. 2022 Jul;129:102323. doi: 10.1016/j.artmed.2022.102323. Epub 2022 May 17.