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Impaired airway epithelial cell responses from children with asthma to rhinoviral infection

Human rhinovirus infection delays repair and inhibits apoptotic processes in epithelial cells from non-asthmatic and asthmatic children

Effect of human rhinovirus infection on airway epithelium tight junction protein disassembly and transepithelial permeability

HRV-1B infection directly alters human airway epithelial TJ expression leading to increased epithelial permeability potentially via antiviral response of IL-15

The genetic and epigenetic landscapes of the epithelium in asthma

Genetic factors in airway epithelial cells that are functionally associated with asthma pathogenesis

Dissecting the regulation of bile-induced biofilm formation in staphylococcus aureus

Wall teichoic acid may be important for protecting S. aureus against exposure to bile

Bile signalling promotes chronic respiratory infections and antibiotic tolerance

Bile acid signalling is a leading trigger for the development of chronic phenotypes underlying the pathophysiology of chronic respiratory disease

The cumulative effect of inflammation and infection on structural lung disease in early cystic fibrosis

Pulmonary inflammation in surveillance bronchoalveolar lavage has a cumulative effect on structural lung disease extent, more so than infection

Mucus accumulation in the lungs precedes structural changes and infection in children with cystic fibrosis

These findings indicate that early CF lung disease is characterized by an increased mucus burden and inflammatory markers without infection or structural lung disease

Elucidating the interaction of CF airway epithelial cells and rhinovirus: Using the host-pathogen relationship to identify future therapeutic strategies

A better understanding of the innate immune responses by CF airway epithelial cells is needed to identify why viral infections are more severe in CF

Predicting disease progression in cystic fibrosis

Comprehensive scores incorporating clinical, lung function, imaging and laboratory data will become essential in the future for predicting disease progression and for use in clinical trials