Skip to content
2000
Volume 15, Issue 6
  • ISSN: 0929-8673
  • E-ISSN: 1875-533X

Abstract

The need for non-invasive assessment of airway inflammation is imperative, since inflammatory airway diseases, such as asthma and COPD, are characterized by variation in their clinical presentation throughout their course. Exhaled breath condensate (EBC) collection represents a rather appealing method that can be used to conveniently and noninvasively collect a wide range of volatile and non-volatile molecules from the respiratory tract, without affecting airway function or inflammation. Although promising, EBC is currently used only as a research tool, due to the lack of appropriate standardization and the absence of reference values. The large number of measurable biomarkers and the diversity of the used methodologies are some of the points that hamper its wide clinical application. This review focuses mainly on the presentation of normal values of the most widely studied EBC markers as reported by investigators that have used healthy subjects as controls or as a basic study population. These biomarkers include hydrogen peroxide, NO-related products, arachidonic acid metabolites and pH. From those biomarkers, the only one with established reference values in healthy subjects is EBC pH, whereas the majority of the rest need further refinement and standardization of the methodologies used. Different subpopulations and the effect of various factors on healthy subjects are also reported, in an effort to delineate future directions that may lead to the establishment of reference values.

Loading

Article metrics loading...

/content/journals/cmc/10.2174/092986708783769768
2008-03-01
2025-04-19
Loading full text...

Full text loading...

/content/journals/cmc/10.2174/092986708783769768
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test