Literature DB >> 16503423

Increased serum concentration of G-CSF in cystic fibrosis patients with chronic Pseudomonas aeruginosa pneumonia.

P Ø Jensen1, C Moser, A Kharazmi, T Presler, C Koch, N Høiby.   

Abstract

BACKGROUND: Chronic Pseudomonas aeruginosa lung infection is the major reason for premature death in patients with cystic fibrosis (CF). Infected patients experience a progressive deterioration of the lung tissue caused by a persistent accumulation of PMNs. We investigated if the pulmonary accumulation of PMNs is reflected as a migration of PMNs through the blood in chronically infected CF patients.
METHODS: Blood and sputum samples from 37 stable, chronically (CF+P) and 6 non-infected (CF-P) CF patients without exacerbations were compared using FACS, leukocyte counting, and ELISA. Within the CF+P patients, the blood parameters were compared to the lung function (FEV1 and FVC) and to the sputum. Similar measurements were performed on 15 chronically infected CF patients before and after elective antibiotic treatment.
RESULTS: In the CF+P patients the concentration of G-CSF in the sera and PMNs in the blood was increased and correlated to poor lung function. However, only the concentration of G-CSF in the sera was correlated to the concentration of TNF-alpha in the sputum. After the antibiotic treatment, the lung function was improved and the concentration of PMNs in the blood and G-CSF in the sera was reduced.
CONCLUSION: G-CSF in the sera may contribute to the pulmonary inflammation in CF patients with chronic P. aeruginosa lung infection by regulating the number of PMNs available for migration and may be considered as an indicator of clinical status.

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Year:  2006        PMID: 16503423     DOI: 10.1016/j.jcf.2005.12.004

Source DB:  PubMed          Journal:  J Cyst Fibros        ISSN: 1569-1993            Impact factor:   5.482


  12 in total

1.  Nitric oxide production by polymorphonuclear leucocytes in infected cystic fibrosis sputum consumes oxygen.

Authors:  M Kolpen; T Bjarnsholt; C Moser; C R Hansen; L F Rickelt; M Kühl; C Hempel; T Pressler; N Høiby; P Ø Jensen
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Review 2.  Pyocyanin effects on respiratory epithelium: relevance in Pseudomonas aeruginosa airway infections.

Authors:  Balázs Rada; Thomas L Leto
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3.  Bead-size directed distribution of Pseudomonas aeruginosa results in distinct inflammatory response in a mouse model of chronic lung infection.

Authors:  L J Christophersen; H Trøstrup; D S Malling Damlund; T Bjarnsholt; K Thomsen; P Ø Jensen; H P Hougen; N Høiby; C Moser
Journal:  Clin Exp Immunol       Date:  2012-11       Impact factor: 4.330

4.  Fenofibrate Attenuates Neutrophilic Inflammation in Airway Epithelia: Potential Drug Repurposing for Cystic Fibrosis.

Authors:  Amanda J Stolarz; Ryan A Farris; Charla A Wiley; Catherine E O'Brien; Elvin T Price
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Review 6.  Sputum biomarkers of inflammation in cystic fibrosis lung disease.

Authors:  Scott D Sagel; James F Chmiel; Michael W Konstan
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7.  Acidosis exacerbates in vivo IL-1-dependent inflammatory responses and neutrophil recruitment during pulmonary Pseudomonas aeruginosa infection.

Authors:  Iviana M Torres; Yash R Patankar; Brent Berwin
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2017-10-06       Impact factor: 5.464

8.  Bergamot (Citrus bergamia Risso) fruit extracts and identified components alter expression of interleukin 8 gene in cystic fibrosis bronchial epithelial cell lines.

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9.  Novel experimental Pseudomonas aeruginosa lung infection model mimicking long-term host-pathogen interactions in cystic fibrosis.

Authors:  Claus Moser; Maria Van Gennip; Thomas Bjarnsholt; Peter Østrup Jensen; Baoleri Lee; Hans Petter Hougen; Henrik Calum; Oana Ciofu; Michael Givskov; Søren Molin; Niels Høiby
Journal:  APMIS       Date:  2009-02       Impact factor: 3.205

10.  IP-10 is a potential biomarker of cystic fibrosis acute pulmonary exacerbations.

Authors:  George M Solomon; Carla Frederick; Shaoyan Zhang; Amit Gaggar; Tom Harris; Bradford A Woodworth; Chad Steele; Steven M Rowe
Journal:  PLoS One       Date:  2013-08-16       Impact factor: 3.240

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