ERJ
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online before print January 9, 2008, 10.1183/09031936.00073207
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
31/5/934    most recent
09031936.00073207v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Permissions
Right arrowRequest Permissions
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (1)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Rosias, P. P.
Right arrow Articles by Dompeling, E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Rosias, P. P.
Right arrow Articles by Dompeling, E.
Eur Respir J 2008; 31:934-942
Copyright ©ERS Journals Ltd 2008

Biomarker reproducibility in exhaled breath condensate collected with different condensers

P. P. Rosias1,2, C. M. Robroeks1, A. Kester3, G. J. den Hartog4, W. K. Wodzig5, G. T. Rijkers6, L. J. Zimmermann7, C. P. van Schayck8, Q. Jöbsis1 and E. Dompeling1

Depts of 1 Paediatric Pulmonology, Caphri Research Institute, 7 Paediatrics and 5 Clinical Chemistry and Clinical Proteomics, University Hospital Maastricht and Depts of 3 Methodology and Statistics and 8 General Practice, Caphri Research Institute, 4 Pharmacology and Toxicology, Maastricht University, Maastricht, and 2 Dept of Paediatrics, Maasland Hospital, Sittard, and 6 Dept of Immunology, University Medical Centre Wilhelmina Children's Hospital, Utrecht, The Netherlands.

CORRESPONDENCE: P. P. Rosias, Dept of Paediatric Pulmonology, Caphri Research Institute, University Hospital Maastricht, PO Box 5800, 6202 AZ Maastricht, The Netherlands. Fax: 31 433875246. E-mail: p.rosias{at}orbisconcern.nl

Keywords: Condenser, cytokines, exhaled breath condensates, hydrogen peroxide, 8-isoprostane, multiplex array

Received: June 19, 2007
Accepted December 19, 2007


    ABSTRACT
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 Statement of interest
 ACKNOWLEDGEMENTS
 REFERENCES
 
Optimal collection and analysis of exhaled breath condensate (EBC) are prerequisites for standardisation and reproducibility of assessments. The present study aimed to assess reproducibility of EBC volume, hydrogen peroxide (H2O2), 8-isoprostane and cytokine measurements using different condensers, including a newly developed glass condenser.

At four points in time, 30 healthy subjects performed sequential EBC collections randomly using the following four condensers: glass, silicone, EcoScreen® (Erich Jaeger GmbH, Hoechberg, Germany) and an optimised glass condenser. In small EBC samples, H2O2 was measured by spectrophotometer, 8-isoprostane by enzyme immunoassay, and cytokines by multiplexed xMAP® technology (Luminex Corporation, Austin, TX, USA).

The optimised glass condenser yielded significantly more EBC volume (median 2,025 µL, interquartile range 1,600–2,525). The reproducibility of EBC volume, yielded by the new glass condenser, was comparable with EcoScreen® (19–20 coefficients of variation (CV)%), but was significantly better compared with silicone and glass (29–37 CV%). The new condenser was associated with significantly more detections of H2O2, 8-isoprostane, interleukin-2, -4, -5 and -13, and tumour necrosis factor-{alpha}. Isoprostane concentrations were significantly higher using the new condenser, whereas H2O2 and cytokine concentrations were not. Reproducibility of biomarkers was equally variable for all condenser types.

In conclusion, significantly more exhaled breath condensate volume and biomarker detections were found using the optimised glass condenser, including higher 8-isoprostane levels. However, biomarker reproducibility in exhaled breath condensate in healthy adults was not influenced by the type of condenser.

The collection of exhaled breath condensate (EBC) is a noninvasive, safe technique with which to obtain direct samples from the lower respiratory tract, without disturbing an ongoing inflammation 13. Analysis of EBC reveals the presence of inflammatory markers, such as eicosanoids, hydrogen peroxide (H2O2) and cytokines 13. Although the American Thoracic Society and European Respiratory Society Task Force on EBC published general methodological recommendations on the collection and analysis of EBC, there are still some unresolved methodological pitfalls, as illustrated by the use of various nonstandardised collection systems 13.

Optimal condensate collection, and optimal biomarker detection and measurement in EBC are reciprocal prerequisites for any standardisation. However, current condensation systems are suboptimal, with relatively short-measured, open-ended designs and loss of noncondensed exhaled breath, as reflected by variable EBC volumes and biomarker reproducibility 1. Logically, modification by using guided breath flows, enlarged condensation surface, and optimised condensate recovery may improve condensation. Moreover, current designs have different inner coatings, featuring different adhesive interactions with exhaled markers 4. Recently, loss of biomarker within the sampling system was demonstrated, both in vitro and in vivo, for 8-isoprostane and albumin, at the expense of nonglass condenser systems, and in favour of glass and silicone condensers 4. To assess clinical relevance, a study on the reproducibility of these biomarker measurements in vivo, using different condenser coatings including glass, is needed 4. Furthermore, conventional biomarker assays are not always suitable for use in even large sample volumes of condensate, a biofluid highly "diluted" by water vapour 5, whereas new analytical techniques are rapidly emerging and may offer new perspectives 6, 7. Recently, multiplexed cytometric bead array was used in children to simultaneously measure different cytokines in only 50-µL condensate samples; however, the detection level did not reach 50% 6. Liquid bead-based multiplexing xMAP® technology (Luminex Corporation, Austin, TX, USA), based on flow cytometry and (faster) liquid microspheres reaction kinetics, is less laborious, highly sensitive and specific, allows simultaneous measurements in small sample sizes, and improves interarray reproducibility 7. Therefore, it was hypothesised that optimised condensate collection with minimal adhesive properties improves the reproducibility of different measurements in EBC.

The aim of the present study was to assess the effect of four different condensers (glass, silicone, EcoScreen® (Erich Jaeger GmbH, Hoechberg, Germany) and a new, optimised glass condenser) on the reproducibility of breath condensate volume, and the detection, concentration and reproducibility of inflammatory biomarkers, including H2O2, 8-isoprostane, interleukin (IL)-2, -4, -5, -6, -8, -10 and -13, and tumour necrosis factor (TNF)-{alpha}, in EBC in healthy nonasthmatic adults.


    METHODS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 Statement of interest
 ACKNOWLEDGEMENTS
 REFERENCES
 
Study subjects
A total of 30 eligible healthy nonasthmatic adult volunteers were recruited (table 1Go) among medical students and staff at the University Hospital Maastricht (Maastricht, the Netherlands), based on the criterion that each volunteer was able to breath tidally into a mouthpiece for ≥15 min. Exclusion criteria were as follows: history of asthma, upper or lower airway infection, and use of antibiotics, corticosteroids, cromoglycate, nedocromil, theophylline or leukotriene antagonist. Nonasthmatic healthy adults were chosen to eliminate possible confounding factors attributable to heterogeneous disease expression and/or variability of disease control.


View this table:
[in this window]
[in a new window]

 
Table 1— Subject characteristics of healthy nonasthmatic adult volunteers#

 
Study design
To assess within-day, between-day and between-week reproducibility, each volunteer was asked to perform the following four tests. Test 1: on the first day in the morning; test 2: on the first day in the afternoon; test 3: the second day at the same time as test 1; and test 4: 1 week after test 1 at the same time. In turn, each test consisted of four sequential EBC collections, using random different types of condenser.

EBC collection
EBC was collected using either of the following condensers: the commercial Teflon-like EcoScreen®, a condenser with exchangeable inner cylinder of silicone or glass, as described previously 4, and a new, optimised glass condenser that was developed in close collaboration with the Dept of Instrument Development Engineering and Evaluation of the Maastricht University (patent number EP 07102586), as described in figure 1Go. Briefly, the inclined condensation surface is enlarged (using a length of 90 cm), condensate recovery is optimised (using a downwards moveable plunger), and breath flows are turbinately directed towards the condenser wall (by the plunger's multiple breath channels).


Figure 1
View larger version (78K):
[in this window]
[in a new window]

 
Fig. 1— a) A diagrammatic description of the new, optimised glass condenser system. 1: inclined glass condenser with a tube length of 90 cm (to enlarge the condensation surface) and downwards moveable plunger (to optimise condensate recovery from the inner condenser wall), with tangential and axial breath flow channels (to turbinately direct the tidally exhaled breath flows towards the cooled inner condenser wall). 2: swan-neck tubing (serving as gravitational saliva trap) and two-way nonrebreathing valve, connected to a mouthpiece. 3: entrance of inspired room air. 4: cooling unit consisting of a counter-current circulating ice-water pump (blk34). 5: removable, cooled glass sample vial (to collect exhaled breath condensate). b) The glass condenser tube with plunger in situ, and c) detail of the glass condenser tube with the downwards moveable plunger in situ. The plunger has three tangential and axial breath flow channels (to turbinately direct the tidally exhaled breath flows towards the cooled inner condenser wall).

 
To perform one EBC collection, each subject was asked to exhale tidally, while using a nose-clip, through a mouthpiece and two-way nonrebreathing valve connected with the condenser, during a fixed period of 15 min.

Condensate sample processing
Immediately after collection, condensate samples were snap-frozen at -78°C using dry ice and stored at -80°C. Analysis was performed within 3 months from sampling time.

H2O2 was measured in 50-µL EBC, in duplicate by spectrophotometer (UV-VIS Lambda 10 Spectrometer; Perkin Elmer, Shelton/Norwalk, CT, USA) with a lower detection limit of 0.05 µM, as described previously 8.

Isoprostane was measured in 100 µL of EBC, by specific enzyme immunoassay (Cayman Chemical, Ann Arbor, MI, USA), which was modified to reach a lower limit of detection of 1.0 pg·mL–1. The standard curve of this assay ranged 250–1.95 pg·mL–1. It was possible to report 8-isoprostane values as low as 1.0 pg·mL–1, as a logit/log transformation was used. Isoprostane recovery experiments were performed, and coefficients of variation (CV) of the absorption signals were assessed. When spiking for the lower 8-isoprostane values of 3.9 and 7.8 pg·mL–1, an isoprostane recovery of 92% (CV of concentration 16%) and 95% (CV of concentration 15%) were found, respectively. A CV (of absorption signals) <15% was considered highly acceptable. Hence, the corresponding CV of concentrations may be higher. Therefore, the CVs found in the 8-isoprostane recovery experiments using these low values were considered good. Standard curves, patient samples and quality control samples of 2.5 and 10 pg·mL–1 8-isoprostane were assayed in triplicate. Intra-assay variation of standard curves, patient samples and quality control samples had to be <15%, otherwise all samples measured in that assay were excluded and reanalysed. Finally, in all accepted samples, 8-isoprostane concentrations were determined from mean absorption signal intensities.

Cytokines were measured in 50-µL EBC, using the liquid bead-based multiplexing xMAP® technology. Multiplex immunoassay was performed as described previously 7, 9, 10. The corresponding lower limits of cytokine and chemokine detection were as follows (in pg·mL–1): IL-2 (1.0), IL-4 (1.2), IL-5 (1.2), IL-6 (0.4), IL-8 (1.1), IL-10 (1.2), IL-13 (1.0) and TNF-{alpha} (1.3). Measurement and data analysis were performed using the Bioplex 100 system and Bioplex Manager software version 3.0 (Bio-Rad Laboratories, Hercules, CA, USA). All multiplex immunoassays were performed in a 96-well format, 1.2-µm filter bottom plates (Millipore, Amsterdam, the Netherlands) and a 12-point standard curve in duplicate was included on every plate. In order to minimise interassay variation, positive and negative control samples were included. As far as possible, EBC samples from one donor series of experiments were run on one plate. Three EBC samples were spiked with either 100 or 10 pg·mL–1 cytokines (IL-2, -4, -5, -6, -8, -10 and -13, and TNF-{alpha}), and were measured in quadruplicate. The mean CV of these cytokine measurements was 12.2%. The mean recovery of 100 pg·mL–1 spiked cytokine was 103% (range 71–129%). At 10 pg·mL–1, the mean recovery was somewhat lower at 89% (ranging from 64% in IL-13 to 111% in IL-4). It was concluded that there was a slight matrix effect of EBC, but this did not result in an overestimation of cytokine measurements.

Statistics
Not normally distributed data were expressed as median (interquartile range). Normally distributed data were expressed as mean±SE. To estimate variance within a single method of measurement (coating), CV were used.

CV = (SD/mean) x 100% (1)

The CV was calculated as the mean of individual CVs, calculated over the two or four relevant measurements. Within-subject CVs were used as data distribution was normal. When the distribution of individual CVs was not normal, the nonparametric Friedman test was used to see if these CVs were different between coatings. ANOVA was used to test for differences among normally distributed repeated measures. The Chi-squared test was used to statistically evaluate the differences between proportions for four groups in a data set. Condensate samples with a biomarker concentration below the lower detection limit, i.e. in strictu sensu negative detections, were not considered as missing values because they actually informed that marker concentrations were below the lower detection limit. Therefore, these negative detections were given an arbitrary value between zero and the lower detection limit as follows: 0.025 µM for H2O2, 0.1 pg·mL–1 for 8-isoprostane and 0.1 pg·mL–1 for cytokines. Samples were defined as missing if the EBC volume, yielded after 15 min collection time, was either zero or insufficient to analyse.

Power calculation
Ideally, power calculations should be based on the expected changes in biomarker concentrations and on their variability. However, these changes in biomarker concentrations and their variability were unknown. In fact, the objective of the present study was to answer this question. Therefore, the uncertainty of the estimated variability was taken as a basis for power calculations. Data from 30 volunteers were thus available for each of the estimated variances (within-day, between-day and between-week). Using standard results for the variance of a Chi-squared random variable, the present authors inferred that, with the 30 subjects, the relative confidence limits (relative to the observed value of the variance) would be 0.634 and 1.807. For the SD, this implies relative limits of 0.80 and 1.34 11.

Ethics
All parents gave written informed consent. The study was approved by the Medical Ethics Committee of the University Hospital of Maastricht.


    RESULTS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 Statement of interest
 ACKNOWLEDGEMENTS
 REFERENCES
 
EBC volume
In five out of 480 manoeuvres performed, the present authors were unable to collect condensate due to erroneously connected tubing. EBC collection by the optimised glass condenser yielded significantly more median condensate volume compared with the other condensers (p = 0.001, Friedman test; table 2Go). Within-day, between-day, between-week and overall reproducibility of EBC volume (expressed as CV%) were comparable in the new condenser and EcoScreen® (p = 0.715, Chi-squared test), but was significantly better compared with silicone and glass (p<0.028, Chi-squared test).


View this table:
[in this window]
[in a new window]

 
Table 2— Volume of exhaled breath condensate(EBC), and reproducibility (expressed as coefficients of variation (CV)) in four different condenser systems

 
H2O2 measurements in EBC
Overall, 29% of H2O2 measurements were missing (table 3Go). Significantly more positive H2O2 detections were found using the optimised glass condenser, compared with silicone and glass (p<0.050, Chi-squared test). Median H2O2 concentrations and reproducibility (expressed as CV%) did not significantly differ between the four condensers (p = 0.286 and p>0.080, respectively, Friedman test).


View this table:
[in this window]
[in a new window]

 
Table 3— Hydrogen peroxide(H2O2) measurements in exhaled breath condensate (EBC) presented as detection, concentration and reproducibility (expressed as coefficients of variation (CV)) in four different condenser systems

 
8-Isoprostane measurements in EBC
Overall, 13% of 8-isoprostane measurements were missing (table 4Go). Significantly more positive 8-isoprostane detections were found using the optimised glass condenser, compared with silicone and glass (p<0.023, Chi-squared test). The median concentration of 8-isoprostane was significantly higher using the new condenser compared with the other three condensers (p = 0.001, Friedman test). Statistically, 8-isoprostane reproducibility (expressed as CV%) did not significantly differ between the four condensers (p>0.151, Friedman test).


View this table:
[in this window]
[in a new window]

 
Table 4— 8-Isoprostane (IP) measurements in exhaled breath condensate (EBC) presented as detection, concentration and reproducibility (expressed as coefficients of variation (CV)) in four different condenser systems

 
Cytokine measurements in EBC
Overall, 20% of cytokine measurements were missing (table 5Go). The levels of cytokine detection using xMAP® technology were as follows: IL-2 (68%), IL-4 (97%), IL-5 (73%), IL-6 (46%), IL-8 (46%), IL-10 (61%), IL-13 (70%) and TNF-{alpha} (64%). The optimised glass condenser had significantly more positive detections of IL-2, -4, -5, -13 and TNF-{alpha}, compared with silicone and glass (p<0.050, Chi-squared test), and more IL-5 and -13 detections, compared with EcoScreen® (p<0.021, Chi-squared test). Cytokine concentrations were not significantly different between the four condenser types (p>0.113, Friedman test or ANOVA, respectively; table 6Go). Reproducibility (expressed as CV%) of cytokine measurements did not significantly differ, either overall (table 7Go) or within-day, between-day and between-week (data not shown). The best range of overall CV% was found for the measurement of IL-6 (11–14%), IL-8 (2–15%), IL-10 (11–30%) and TNF-{alpha} (8–22%). When CVs were evaluated using the positive values only (without negative and/or arbitrary values), again no differences between condensers were found (data not shown).


View this table:
[in this window]
[in a new window]

 
Table 5— Number of positive to negative detections of cytokines in exhaled breath condensate, collected with four different condenser systems

 

View this table:
[in this window]
[in a new window]

 
Table 6— Concentration of cytokine measurements in exhaled breath condensate(EBC), collected with four different condenser systems

 

View this table:
[in this window]
[in a new window]

 
Table 7— Overall reproducibility(expressed as coefficients of variation) of cytokine measurements in exhaled breath condensate, collected with four different condenser systems

 

    DISCUSSION
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 Statement of interest
 ACKNOWLEDGEMENTS
 REFERENCES
 
The present authors have demonstrated that EBC volume and the detection of biomarkers were significantly influenced by the condenser system, in favour of the new glass condenser, whereas biomarker reproducibility was not influenced by the type of condenser. The proposed optimised glass condenser yielded significantly more condensate volume compared with the silicone, glass and EcoScreen® condensers. Reproducibility of EBC volume was comparable for the new condenser and EcoScreen®, and was significantly better compared with the other two condenser types.

In EBC collected with this new condenser, significantly more positive H2O2, 8-isoprostane, IL-2, -4, -5 and -13, and TNF-{alpha} detections were found, supporting improved sampling of EBC. Moreover, 8-isoprostane concentrations were significantly increased in EBC yielded by the new condenser compared with the other three condensers, which is in accordance with former findings 4. Conversely, reproducibility of H2O2, 8-isoprostane and cytokine measurements in EBC did not significantly differ between the four condensers, suggesting no significant influence of the type of condenser coating on reproducibility. In the literature to date, no formal study addressing this issue has been published, although reproducibility using other analytical techniques has been reported 1214, and/or could not be calculated due to the small number of subjects 1517.

Variations in biomarker measurements in EBC may be attributed to variations in the dilution and/or quality of condensate that is influenced by different collection techniques and procedures, sample processing and storage conditions, and/or sensitivity of the analytical techniques used 17. The levels of the highly volatile H2O2 in EBC may be susceptible to different cooling temperatures during collection 18, circadian rhythm 19, flow dependency 20, different methods of measurement with widely varying values (even in healthy subjects) close to lower detection limits 3, 17, 21, 22, and high chemical reactivity with salivary and exhaled compounds by which (some) H2O2 is consumed over time during collection and storage 3, 17, 22. Isoprostanes are relatively stable end-products of in vivo arachidonate peroxidation and are measured in EBC by immunoassay, which might be influenced by cross-reactivity with closely related substances 17. Other confounding factors may be age, diets rich in antioxidants and smoking habits 17.

The use of CV is not always the ideal way to express variability: when mean values are low, CV values can be abnormally high. Therefore, results in the present study were also expressed as SD values and intraclass correlation coefficients. When using both of these alternative expression methods, results were comparable: no difference in biomarker variability between condensers was found (data not shown). Furthermore, biomarker levels were assessed in condensate originating from healthy adults and, thus, may have been more pronounced in a steroid-naïve population with documented chronic respiratory inflammation and comparable levels of disease control. Hence, increased mean concentrations and lowered CVs in diseased subjects could be expected. Conversely, with these very low concentrations of cytokines and 8-isoprostane, an influence of analytical variability cannot be ruled out.

Cytokines were simultaneously measured by xMAP® technology in small, 50-µL EBC samples. The overall level of detection was 46–97%, which was much better compared with cytometric bead array in small samples in children (<50%), and in large 1,000–2,000-µL lyophilisated samples in adults (3–100%) 6, 2326. When compared with conventional (solid-phase) immunoassays, multiplexed immunoassays detect bioactive and inactive molecules, have a growing analytical range, are rapid (take hours instead of days to perform), have good precision (CV 10–15%), are not interfered with by drugs, and have simple protocols 7.

Currently, different nonstandardised techniques to collect EBC are in use 13. All systems are based on the cooling of exhaled breath, whereas their design may vary from immersed plastic tubing over glass distilling columns, to commercial systems, such as the lamellar Teflon-like EcoScreen® condenser, the hand-held disposable polypropylene RTubeTM (Respiratory Inc., Charlottesville, VA, USA), and the thermostatically controlled polyethylene Turbo-Deccs (ItalChill, Parma, Italy) 13, 27. These designs implicate relatively short-measured and open-ended systems that tolerate the needless loss of noncondensed exhaled breath, whether initially, or after a prolonged collection time. Moreover, biomarkers may also be lost within these collection systems, as recently demonstrated for 8-isoprostane and albumin measurements, both in vitro and in vivo, in nonglass condensers (including EcoScreen®) 4. This superiority of glass coatings may be mainly related to the behaviour of water as bipolar vehicle 4. Three other studies report the influence of sampling systems on biomarkers in EBC 2830. Tufvesson and Bjermer 28 proposed to coat EcoScreen® collection surfaces with bovine serum albumin and Tween-20, to measure cytokines and eicosanoids, respectively. However, they also reported possible false-positive (eicosanoid) results, and the need of sample concentration, by vacuum centrifugation, prior to analysis. Soyer et al. 29 found significantly higher cysteinyl leukotrienes and eotaxin using EcoScreen®, compared with RTubeTM, due to susceptibility of pre-cooled RTubeTM sleeves to (increased) ambient temperatures during collection, and due to different materials that could affect sample recovery. Prieto et al. 30 compared RTubeTM and EcoScreen®, and reported that EBC pH values are dependent on the collection device used. Furthermore, the EcoScreen® has been associated with deposition of frozen condensate on its lamellar walls. For these reasons, an optimised glass condenser system was developed by the present authors. The new glass condenser had an improved condensation process and condensate recovery, using an inclined and enlarged condensation surface, with a condensate sweeping plunger, having tangentially and axially guiding breath-flow channels.

In the present study, these improvements resulted in significantly increased EBC volumes, and increased biomarker detections with the new glass condenser compared with silicone, glass and EcoScreen®. This suggests both an improved condensation process and an increased opportunity to perform a broad spectrum of analyses. Moreover, the optimised glass and EcoScreen® condensers were both significantly associated with less variation in the generated EBC volume compared with the other condensers, thereby reducing a possible confounding influence of the variable quantity of EBC collected over a given time, and even within individuals.

Optimisation of EBC collection using the modified new glass condenser with statistically equivalent CVs compared with the commercial EcoScreen®, and optimisation of EBC analysis using rapid, multiplexed measurement of cytokines in small EBC sample sizes may, in combination, open a window of opportunities, even in strained collection procedures, such as in young or dyspnoeic subjects (with less-sustained efforts to cope with sampling procedures), by allowing the search for, and identification of, particular profiles of different exhaled markers involved in the regulation of chronic respiratory inflammation for diagnostic and monitoring purposes.

In conclusion, the optimised glass condenser yielded significantly more exhaled breath condensate volume, and with good reproducibility. Furthermore, significantly more positive detections of hydrogen peroxide, 8-isoprostane, interleukin-2, -4, -5 and -13, and tumour necrosis factor-{alpha} were found in exhaled breath condensate collected with the new condenser, thereby offering an increased capacity to analyse for complex biomarker profiles. Moreover, concentrations of 8-isoprostane were significantly increased using the optimised glass condenser compared with the other three condensers. However, reproducibility of biomarker measurements in exhaled breath condensate was not influenced by the type of condenser.


    Statement of interest
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 Statement of interest
 ACKNOWLEDGEMENTS
 REFERENCES
 
None declared.


    ACKNOWLEDGEMENTS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 Statement of interest
 ACKNOWLEDGEMENTS
 REFERENCES
 
The authors wish to thank J. Suykerbuyk (Dept of Paediatrics, University Hospital Maastricht, Maastricht, the Newtherlands) for her technical support in the collection of exhaled breath condensate; M. Meers (Dept of Clinical Chemistry, University Hospital Maastricht) for her technical support in the measurement of 8-isoprostane; N. van Uden (Dept of Immunology, University Medical Centre Wilhelmina Children's Hospital, Utrecht, the Netherlands) for her technical support in the measurement of cytokines; and, last but not least, the volunteers for their participation.


    REFERENCES
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 Statement of interest
 ACKNOWLEDGEMENTS
 REFERENCES
 

  1. Rosias PPR, Dompeling E, Hendriks JJE, Heijnens JWCM, Donckerwolcke RAMG, Jöbsis Q. Exhaled breath condensate in children: pearls and pitfalls. Pediatr Allergy Immunol 2004;15:4–19.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  2. Jöbsis Q, Rosias PPR. Analysis of exhaled breath condensate in children. In: Montuschi P, ed. New Perspectives in Monitoring Lung Inflammation. London, Taylor & Francis Publishers, 2004; 105–111
  3. Horváth I, Hunt J, Barnes PJ. on behalf of the ATS/ERS Task Force. Exhaled breath condensate: methodological recommendations and unresolved questions. Eur Respir J 2005;26:523–548.[Abstract/Free Full Text]
  4. Rosias PP, Robroeks CM, Niemarkt HJ, et al. Breath condenser coatings affect measurement of biomarkers in exhaled breath condensate. Eur Respir J 2006;28:1036–1041.[Abstract/Free Full Text]
  5. Huszar E, Szabo Z, Jakab A, Barta I, Herjavecz I, Horvath I. Comparative measurement of thromboxane A2 metabolites in exhaled breath condensate by different immunoassays. Inflamm Res 2005;54:350–355.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  6. Robroeks CM, Jöbsis Q, Damoiseaux JGMC, et al. Cytokines in exhaled breath condensate of children with asthma and cystic fibrosis. Ann Allergy Asthma Immunol 2006;96:349–355.[Web of Science][Medline] [Order article via Infotrieve]
  7. de Jager W, Rijkers GT. Solid-phase and bead-based cytokine immunoassay: a comparison. Methods 2006;38:294–303.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  8. Dekhuijzen PN, Aben KK, Dekker I, et al. Increased exhalation of hydrogen peroxide in patients with stable and unstable chronic obstructive pulmonary disease. Am J Respir Crit Care Med 1996;154:813–816.[Abstract]
  9. de Jager W, Prakken BJ, Bijlsma JW, Kuis W, Rijkers GT. Improved multiplex immunoassay performance in human plasma and synovial fluid following removal of interfering heterophilic antibodies. J Immunol Methods 2005;300:124–135.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  10. de Jager W, te Velthuis H, Prakken BJ, Kuis W, Rijkers GT. Simultaneous detection of 15 human cytokines in a single sample of stimulated peripheral blood mononuclear cells. Clin Diagn Lab Immunol 2003;10:133–139.[CrossRef][Medline] [Order article via Infotrieve]
  11. Rosner B. Fundamentals of Biostatistics. 6th Edn. Belmont, Thomson Brooks/Cole, 2006; p. 200
  12. Brooks WM, Lash H, Kettle AJ, Epton MJ. Optimising hydrogen peroxide measurement in exhaled breath condensate. Redox Rep 2006;11:78–84.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  13. Gerritsen WB, Zanen P, Bauwens AA, van den Bosch JM, Haas FJ. Validation of a new method to measure hydrogen peroxide in exhaled breath condensate. Respir Med 2005;99:1132–1137.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  14. Gonzalez-Reche LM, Musiol AK, Muller-Lux A, Kraus T, Goen T. Method optimization and validation for the simultaneous determination of arachidonic acid metabolites in exhaled breath condensate by liquid chromatography-electrospray ionization tandem mass spectrometry. J Occup Med Toxicol 2006;1:5[CrossRef][Medline] [Order article via Infotrieve]
  15. Van Hoydonck PG, Wuyts WA, Vanaudenaerde BM, Schouten EG, Dupont LJ, Temme EH. Quantitative analysis of 8-isoprostane and hydrogen peroxide in exhaled breath condensate. Eur Respir J 2004;23:189–192.[Abstract/Free Full Text]
  16. Kharitonov SA. Exhaled markers of inflammatory lung diseases: ready for routine monitoring?. Swiss Med Wkly 2004;134:175–192.[Medline] [Order article via Infotrieve]
  17. Rahman I, Biswas SK. Non-invasive biomarkers of oxidative stress: reproducibility and methodological issues. Redox Rep 2004;9:125–143.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  18. Goldoni M, Caglieri A, Andreoli R, et al. Influence of condensation temperature on selected exhaled breath parameters. BMC Pulmon Med 2005;5:10[CrossRef]
  19. Nowak D, Kalucka S, Bialasiewicz P, Krol M. Exhalation of H2O2 and thiobarbituric acid reactive substances (TBARs) by healthy subjects. Free Radic Biol Med 2001;30:178–186.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  20. Schleiss MB, Holz O, Behnke M, Richter K, Magnussen H, Jorres RA. The concentration of hydrogen peroxide in exhaled air depends on expiratory flow rate. Eur Respir J 2000;16:1115–1118.[Abstract]
  21. Rahman I. Reproducibility of oxidative stress biomarkers in breath condensate: are they reliable?. Eur Respir J 2004;23:183–184.[Free Full Text]
  22. Silkoff PE, Erzurum SC, Lundberg JO, et al. ATS workshop proceedings: exhaled nitric oxide and nitric oxide oxidative metabolism in exhaled breath condensate. Proc Am Thorac Soc 2006;3:131–145.[Free Full Text]
  23. Sack U, Scheibe R, Wötzel M, et al. Multiplex analysis of cytokines in exhaled breath condensate. Cytometry A 2006;69:169–172.[Medline] [Order article via Infotrieve]
  24. Gessner C, Scheibe R, Wötzel M, et al. Exhaled breath condensate cytokine patterns in chronic obstructive pulmonary disease. Respir Med 2005;99:1229–1240.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  25. Matsunaga K, Yanagisawa S, Ichikawa T, et al. Airway cytokine expression measured by means of protein array in exhaled breath condensate: correlation with physiologic properties in asthmatic patients. J Allergy Clin Immunol 2006;118:84–90.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  26. Schumann C, Triantafilou K, Krueger S, et al. Detection of erythropoietin in exhaled breath condensate of nonhypoxic subjects using a multiplex bead array. Mediators Inflamm 2006;5:18061
  27. Caglieri A, Goldoni M, Acampa O, et al. The effect of inhaled chromium on different exhaled breath condensate biomarkers among chrome-plating workers. Environ Health Perspect 2006;114:542–546.[Web of Science][Medline] [Order article via Infotrieve]
  28. Tufvesson E, Bjermer L. Methodological improvements for measuring eicosanoids and cytokines in exhaled breath condensate. Respir Med 2006;100:34–38.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  29. Soyer OU, Dizdar EA, Keskin O, Lilly C, Kalayci O. Comparison of two methods for exhaled breath condensate collection. Allergy 2006;61:1016–1018.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  30. Prieto L, Ferrer A, Palop J, Domenech J, Llusar R, Rojas R. Differences in exhaled breath condensate pH measurements between samples obtained with two commercial devices. Respir Med 2007;101:1715–1720.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]



This article has been cited by other articles:


Home page
Eur Respir JHome page
I. Horvath, Z. Lazar, N. Gyulai, M. Kollai, and G. Losonczy
Exhaled biomarkers in lung cancer
Eur. Respir. J., July 1, 2009; 34(1): 261 - 275.
[Abstract] [Full Text] [PDF]


Home page
Eur Respir JHome page
E. Sapey, D. Bayley, A. Ahmad, and R. Stockley
The validation of assays used to measure biomarkers in exhaled breath condensate
Eur. Respir. J., November 1, 2008; 32(5): 1408 - 1409.
[Full Text] [PDF]


Home page
Eur Respir JHome page
P. P. Rosias and E. Dompeling
From the authors
Eur. Respir. J., November 1, 2008; 32(5): 1409 - 1409.
[Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
31/5/934    most recent
09031936.00073207v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Permissions
Right arrowRequest Permissions
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (1)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Rosias, P. P.
Right arrow Articles by Dompeling, E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Rosias, P. P.
Right arrow Articles by Dompeling, E.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS