Chronic obstructive pulmonary disease-specific gene expression signatures of alveolar macrophages as well as peripheral blood monocytes overlap and correlate with lung function

Szilard Poliska, Eszter Csanky, Attila Szanto, I. Szatmári, Bertalan Mesko, L. Széles, B. Dezső, B. Scholtz, J. Podaní, Iain Kilty, Laszlo Takacs, L. Nagy

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

Background: Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory disease characterized by progressive airflow limitation and significant extrapulmonary (systemic) effects that lead to co-morbid conditions, though the pathomechanism of COPD is largely undetermined. Alveolar macrophages (AM) derived from peripheral monocytes (MO) appear to play a key role in initiating and/or sustaining disease progression. Objectives: To identify disease- and cell type-specific gene expression profiles and potential overlaps in those in order to diagnose COPD, characterize its progression and determine the effect of drug treatment. Method: Global gene expression analysis was used for primary screening in order to obtain expression signatures of AMs and circulating MOs of COPD patients and healthy controls. The results of microarray analyses of AMs (20 controls and 26 COPD patients) and MOs (16 controls and 22 COPD patients) were confirmed and validated by real-time quantitative polymerase chain reaction. Results: We have identified gene sets specifically associated with COPD in AMs and MOs. There were overlapping genes between the two cell types. Our data also show that COPD-specific gene expression signatures in AMs and MOs correlate with percent of predicted FEV1. Conclusion: Disease-specific and overlapping gene expression signatures can be defined in lung-derived macrophages and also in circulating monocytes. Some of the validated expression changes in both cell types correlate with lung function and therefore could serve as biomarkers of disease progression.

Original languageEnglish
Pages (from-to)499-510
Number of pages12
JournalRespiration
Volume81
Issue number6
DOIs
Publication statusPublished - May 2011

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Alveolar Macrophages
Transcriptome
Chronic Obstructive Pulmonary Disease
Monocytes
Lung
Overlapping Genes
Disease Progression
Microarray Analysis
Real-Time Polymerase Chain Reaction
Chronic Disease
Biomarkers
Macrophages
Gene Expression
Pharmaceutical Preparations
Genes

Keywords

  • Alveolar macrophages
  • Chronic obstructive pulmonary disease
  • Disease-specific genes
  • FEV
  • Lung function
  • Microarray
  • Monocytes

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

Cite this

Chronic obstructive pulmonary disease-specific gene expression signatures of alveolar macrophages as well as peripheral blood monocytes overlap and correlate with lung function. / Poliska, Szilard; Csanky, Eszter; Szanto, Attila; Szatmári, I.; Mesko, Bertalan; Széles, L.; Dezső, B.; Scholtz, B.; Podaní, J.; Kilty, Iain; Takacs, Laszlo; Nagy, L.

In: Respiration, Vol. 81, No. 6, 05.2011, p. 499-510.

Research output: Contribution to journalArticle

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AU - Csanky, Eszter

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AU - Széles, L.

AU - Dezső, B.

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AB - Background: Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory disease characterized by progressive airflow limitation and significant extrapulmonary (systemic) effects that lead to co-morbid conditions, though the pathomechanism of COPD is largely undetermined. Alveolar macrophages (AM) derived from peripheral monocytes (MO) appear to play a key role in initiating and/or sustaining disease progression. Objectives: To identify disease- and cell type-specific gene expression profiles and potential overlaps in those in order to diagnose COPD, characterize its progression and determine the effect of drug treatment. Method: Global gene expression analysis was used for primary screening in order to obtain expression signatures of AMs and circulating MOs of COPD patients and healthy controls. The results of microarray analyses of AMs (20 controls and 26 COPD patients) and MOs (16 controls and 22 COPD patients) were confirmed and validated by real-time quantitative polymerase chain reaction. Results: We have identified gene sets specifically associated with COPD in AMs and MOs. There were overlapping genes between the two cell types. Our data also show that COPD-specific gene expression signatures in AMs and MOs correlate with percent of predicted FEV1. Conclusion: Disease-specific and overlapping gene expression signatures can be defined in lung-derived macrophages and also in circulating monocytes. Some of the validated expression changes in both cell types correlate with lung function and therefore could serve as biomarkers of disease progression.

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