The microbiome in bronchiectasis

Bronchiectasis is increasing in prevalence worldwide, yet current treatments available are limited to those alleviating symptoms and reducing exacerbations. The pathogenesis of the disease and the inflammatory, infective and molecular drivers of disease progression are not fully understood, making the development of novel treatments challenging. Understanding the role bacteria play in disease progression has been enhanced by the use of next-generation sequencing techniques such as 16S rRNA sequencing. The microbiome has not been extensively studied in bronchiectasis, but existing data show lung bacterial communities dominated by Pseudomonas, Haemophilus and Streptococcus, while exhibiting intraindividual stability and large interindividual variability. Pseudomonas- and Haemophilus-dominated microbiomes have been shown to be linked to severe disease and frequent exacerbations. Studies completed to date are limited in size and do not fully represent all clinically observed disease subtypes. Further research is required to understand the microbiomes role in bronchiectasis disease progression. This review discusses recent developments and future perspectives on the lung microbiome in bronchiectasis

Active learning across disciplines : opportunities to develop employability skills and leadership potential in undergraduate students. A student and staff perspective

Working effectively within multidisciplinary teams is an important employability skill common in postgraduate working life, but opportunities to develop this are limited in many undergraduate taught programmes. The projects reported here offered twelve level 5 undergraduate students from a range of science disciplines the opportunity to work with each other and staff on a specific research question. This paper explores the experience of cross-disciplinary research from both the student and staff research partners’ perspectives. In particular the employability skills gained from such partnership working, the potential for developing and demonstrating leadership skills, and the benefits and disadvantages are discussed

Personalised anti-inflammatory therapy for bronchiectasis and cystic fibrosis:selecting patients for controlled trials of neutrophil elastase inhibition

Background Neutrophil elastase (NE) has been linked to lung neutrophil dysfunction in bronchiectasis and cystic fibrosis (CF), making NE inhibition a potential therapeutic target. NE inhibitor trials have given mixed result perhaps because not all patients have elevated airway NE activity. Methods We tested whether a single baseline sputum NE measurement or a combination of clinical parameters could enrich patient populations with elevated NE activity for “personalised medicine”. Intra- and interindividual variations of total and active NE levels in induced sputum from patients with CF or bronchiectasis were monitored over 14 days. Patients with established CF and bronchiectasis (n=5 per group) were recruited. NE was measured using three different methods: one total and two active NE assays. Subsequently, we analysed the association between clinical parameters and NE from a large bronchiectasis cohort study (n=381). Results All three assays showed a high degree of day-to-day variability (0–233% over 14 days). There were strong correlations found between all assays (p<0.0001). Despite high day-to-day variability, patients could be stratified into “high” or “low” groups based on moderate cut-off levels. In the bronchiectasis cohort study, factors most associated with high sputum NE levels were: Pseudomonas aeruginosa infection (β-estimate 11.5, 95% CI −6.0–29.0), sputum colour (β-estimate 10.4, 95% CI 4.3–16.6), Medical Research Council dyspnoea score (β-estimate 6.4, 95% CI 1.4–11.4) and exacerbation history (β-estimate 3.4, 95% CI 1.4–5.3). Collectively, P. aeruginosa infection, sputum colour and exacerbation frequency provided the greatest specificity for “high” NE (98.7%, 95% CI 7.0–99.6%). Conclusion These results show that patients with bronchiectasis and CF can be effectively divided into “high” or “low” groups, based on sputum NE assays or clinical inclusion criteria