期刊
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS
卷 -, 期 131, 页码 -出版社
JOURNAL OF VISUALIZED EXPERIMENTS
DOI: 10.3791/56413
关键词
Medicine; Issue 131; Nasal absorption; bronchial absorption; Respiratory; Sampling; Airway; Mucosa; Biomarkers; Personalized medicine
资金
- Imperial National Institute for Health Research (NIHR) Biomedical Research Centre (BRC)
- NIHR Health Protection Research Unit (HPRU) in Respiratory Infections at Imperial College London
- Public Health England (PHE)
- NIHR Imperial Patient Safety Translational Research Centre
- National Institute for Health Research [NF-SI-0513-10150] Funding Source: researchfish
The methods of nasal absorption (NA) and bronchial absorption (BA) use synthetic absorptive matrices (SAM) to absorb the mucosal lining fluid (MLF) of the human respiratory tract. NA is a non-invasive technique which absorbs fluid from the inferior turbinate, and causes minimal discomfort. NA has yielded reproducible results with the ability to frequently repeat sampling of the upper airway. By comparison, alternative methods of sampling the respiratory mucosa, such as nasopharyngeal aspiration (NPA) and conventional swabbing, are more invasive and may result in greater data variability. Other methods have limitations, for instance, biopsies and bronchial procedures are invasive, sputum contains many dead and dying cells and requires liquefaction, exhaled breath condensate (EBC) contains water and saliva, and lavage samples are dilute and variable. BA can be performed through the working channel of a bronchoscope in clinic. Sampling is well tolerated and can be conducted at multiple sites in the airway. BA results in MLF samples being less dilute than bronchoalveolar lavage (BAL) samples. This article demonstrates the techniques of NA and BA, as well as the laboratory processing of the resulting samples, which can be tailored to the desired downstream biomarker being measured. These absorption techniques are useful alternatives to the conventional sampling techniques used in clinical respiratory research.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据