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Multi-analyte profiling of inflammatory mediators in COPD sputum – The effects of processing

Authors :
Anne-Marie Kirsten
Torsten Goldmann
Klaus F. Rabe
Heidrun Kiwull-Schöne
Gereon Lauer
Olaf Holz
Gianluca Quintini
Henrik Watz
Helgo Magnussen
Frauke Pedersen
Publica
Source :
Cytokine. 71:401-404
Publication Year :
2015
Publisher :
Elsevier BV, 2015.

Abstract

Prior to using a new multi-analyte platform for the detection of markers in sputum it is advisable to assess whether sputum processing, especially mucus homogenization by dithiothreitol (DTT), affects the analysis. In this study we tested a novel Human Inflammation Multi Analyte Profiling® Kit (v1.0 Luminex platform; xMAP®). Induced sputum samples of 20 patients with stable COPD (mean FEV1, 59.2% pred.) were processed in parallel using standard processing (with DTT) and a more time consuming sputum dispersion method with phosphate buffered saline (PBS) only. A panel of 47 markers was analyzed in these sputum supernatants by the xMAP®. Twenty-five of 47 analytes have been detected in COPD sputum. Interestingly, 7 markers have been detected in sputum processed with DTT only, or significantly higher levels were observed following DTT treatment (VDBP, α-2-Macroglobulin, haptoglobin, α-1-antitrypsin, VCAM-1, and fibrinogen). However, standard DTT-processing resulted in lower detectable concentrations of ferritin, TIMP-1, MCP-1, MIP-1β, ICAM-1, and complement C3. The correlation between processing methods for the different markers indicates that DTT processing does not introduce a bias by affecting individual sputum samples differently. In conclusion, our data demonstrates that the Luminex-based xMAP® panel can be used for multi-analyte profiling of COPD sputum using the routinely applied method of sputum processing with DTT. However, researchers need to be aware that the absolute concentration of selected inflammatory markers can be affected by DTT.

Details

ISSN :
10434666
Volume :
71
Database :
OpenAIRE
Journal :
Cytokine
Accession number :
edsair.doi.dedup.....1a93885dabafaed4917a6628bc8f1975