Azithromycin reduces spontaneous and induced inflammation in ΔF508 cystic fibrosis mice

BACKGROUND: Inflammation plays a critical role in lung disease development and progression in cystic fibrosis. Azithromycin is used for the treatment of cystic fibrosis lung disease, although its mechanisms of action are poorly understood. We tested the hypothesis that azithromycin modulates lung inflammation in cystic fibrosis mice. METHODS: We monitored cellular and molecular inflammatory markers in lungs of cystic fibrosis mutant mice homozygous for the ΔF508 mutation and their littermate controls, either in baseline conditions or after induction of acute inflammation by intratracheal instillation of lipopolysaccharide from Pseudomonas aeruginosa, which would be independent of interactions of bacteria with epithelial cells. The effect of azithromycin pretreatment (10 mg/kg/day) given by oral administration for 4 weeks was evaluated. RESULTS: In naive cystic fibrosis mice, a spontaneous lung inflammation was observed, characterized by macrophage and neutrophil infiltration, and increased intra-luminal content of the pro-inflammatory cytokine macrophage inflammatory protein-2. After induced inflammation, cystic fibrosis mice combined exaggerated cellular infiltration and lower anti-inflammatory interleukin-10 production. In cystic fibrosis mice, azithromycin attenuated cellular infiltration in both baseline and induced inflammatory condition, and inhibited cytokine (tumor necrosis factor-α and macrophage inflammatory protein-2) release in lipopolysaccharide-induced inflammation. CONCLUSION: Our findings further support the concept that inflammatory responses are upregulated in cystic fibrosis. Azithromycin reduces some lung inflammation outcome measures in cystic fibrosis mice. We postulate that some of the benefits of azithromycin treatment in cystic fibrosis patients are due to modulation of lung inflammation

Making Nursing Work: Breaking Through the Role Confusion of Advanced Practice Nursing

The Aim of this study was to develop a research-informed model of the service parameters and an analysis framework for advanced practice nursing roles. Background: Changing patterns of health care are forcing service planners to examine new service delivery models. Apparent is the call for nursing service that incorporates expanded levels of autonomy, skill and decision making. A number of nursing roles conform to this description under the generic title of advanced practice nurse. However, there is confusion in the health service community internationally about nomenclature, role and scope of practice for advanced nursing roles. An emerging priority in response to recent developments in the nurse practitioner role is to establish service parameters for advanced practice nursing and to operationally differentiate between advanced practice and practitioner nursing roles. Design: We conducted an interpretive, qualitative examination of the practice of a random sample of nine advanced practice nurses working in three acute care hospitals in south east Queensland, Australia. Methods: Data collection involved individual in-depth interviews. The interview data were deductively analysed and tested against published advanced practice nursing models. Results: This analysis identified the Strong Model of Advanced Practice as most comprehensively supporting the practice experiences of the research participants. The Strong Model supports definition of the service parameters and the design of an operational framework for implementation and evaluation of APN roles. Conclusions: This exploratory study has addressed some of the confusion that surrounds advanced practice nursing roles. The findings provide a description of the service parameters of the APN role; differentiate advanced practice nurse and nurse practitioner roles; and provides an operational framework to identify, establish and evaluate advanced and extended nursing positions. Subject to further validation, this research outcome can provide operational information for implementing innovative nursing roles appropriate to consumer needs and specific health service models

Cytokines and inflammatory mediators do not indicate acute infection in cystic fibrosis

Various treatment regimens and difficulties with research design are encountered with cystic fibrosis (CF) because no standard diagnostic criteria exist for defining acute respiratory exacerbations. This study evaluated the role of serial monitoring of concentrations of selected cytokines and inflammatory mediators in serum and sputum as predictors of respiratory exacerbation, as useful outcome measures for CF, and to guide therapy. Interleukin-8 (IL-8), tumor necrosis factor alpha (TNF-α), neutrophil elastase-α-l-protease inhibitor complex (NE complex), protein, and α-1- protease inhibitor (α-1-PI) were measured in serum and sputum collected from CF patients during respiratory exacerbations and periods of well-being. Levels of NE complex, protein, and α-1-PI in sputum rose during respiratory exacerbations and fell after institution of antibiotic therapy (P = 0.078, 0.001, and 0.002, respectively). Mean (± standard error of the mean) levels of IL-8 and TNF-α were extremely high in sputum (13,780 ± 916 and 249.4 ± 23.5 ng/liter, respectively) but did not change significantly with clinical deterioration of the patient (P > 0.23). IL-8 and TNF-α were generally undetectable in serum, and therefore these measures were unhelpful. Drop in forced expiratory volume in 1 s was the only clinical or laboratory parameter that was close to being a determinant of respiratory exacerbation (P = 0.055). This study provides evidence of intense immunological activity occurring continually within the lungs of adult CF patients. Measurement of cytokines and inflammatory mediators in CF sputum is not helpful for identifying acute respiratory exacerbations

Molecular identification of bacteria in bronchoalveolar lavage fluid from children with cystic fibrosis

Culture of bronchoalveolar lavage fluid (BALF) is the gold standard for detection of pathogens in the lower airways in cystic fibrosis (CF). However, current culture results do not explain all clinical observations in CF, including negative culture results during pulmonary exacerbation and inflammation in the absence of pathogens. We hypothesize that organisms not routinely identified by culture occur in the CF airway and may contribute to disease. To test this hypothesis we used a culture-independent molecular approach, based on use of rRNA sequence analysis, to assess the bacterial composition of BALF from children with CF and disease controls (DC). Specimens from 42 subjects (28 CF) were examined, and ≈6,600 total clones were screened to identify 121 species of bacteria. In general, a single rRNA type dominated clone libraries from CF specimens, but not DC. Thirteen CF subjects contained bacteria that are not routinely assessed by culture. In four CF subjects, candidate pathogens were identified and include the anaerobe Prevotella denticola, a Lysobacter sp., and members of the Rickettsiales. The presumptive pathogens Tropheryma whipplei and Granulicatella elegans were identified in cases from the DC group. The presence of unexpected bacteria in CF may explain inflammation without documented pathogens and consequent failure to respond to standard treatment. These results show that molecular techniques provide a broader perspective on airway bacteria than do routine clinical cultures and thus can identify targets for further clinical evaluation