Airway total bacterial density, microbiota community composition and relationship with clinical parameters in bronchiectasis.

Background And Objective: This study explored the relationship between total bacterial density, airway microbiota composition and clinical parameters in bronchiectasis. We determined changes with time during clinical stability and following antibiotic treatment of a pulmonary exacerbation.

Methods: We conducted a multicentre longitudinal cohort study of UK participants with CT confirmed bronchiectasis.

Genomic Analysis and Surveillance of Respiratory Syncytial Virus Using Wastewater-Based Epidemiology.

Respiratory syncytial virus (RSV) causes severe infections in infants, immunocompromised or elderly individuals resulting in annual epidemics of respiratory disease. Currently, limited clinical surveillance and the lack of predictable seasonal dynamics limit the public health response. Wastewater-based epidemiology (WBE) has recently been used globally as a key metric in determining prevalence of severe acute respiratory syndrome coronavirus 2 in the community, but its application to other respiratory viruses is limited.

Longitudinal changes in the cystic fibrosis airway microbiota with time and treatment.

Background: Whether there is any benefit in integrating culture-independent molecular analysis of the lower airway microbiota of people with cystic fibrosis into clinical care is unclear. This study determined the longitudinal trajectory of the microbiota and if there were microbiota characteristics that corresponded with response to treatment or predicted a future pulmonary exacerbation.

Methods: At least one sputum sample was collected from 149 participants enrolled in this prospective longitudinal multi-centre study and total bacterial density and microbiota community measurements were determined and compared with clinical parameters.

Improved recovery of SARS-CoV-2 from wastewater through application of RNA and DNA stabilising agents.

Wastewater Based Epidemiology (WBE) has become an integral part of the public health effort to track the levels of SARS-CoV-2 within communities. Detection of SARS-CoV-2 in wastewater can be challenging due to relatively low levels of virus within the sample. The wastewater matrix is also comprised of commercial and domestically derived contaminants, as well as RNases, all of which can adversely affect RT-qPCR analysis.