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Reports and Findings

Epithelial Drivers of Neutrophil Plasticity in Early Cystic Fibrosis Lung Disease

Hallmarks of cystic fibrosis (CF) airway disease include bronchiectasis, airway inflammation by infiltrating polymorphonuclear neutrophils (PMNs) and recurring infection.

Defective cell migration as a mechanism of dysregulated asthmatic airway repair

The findings from this study show that in children with asthma this protective barrier is different from children without asthma.

Cultures of HRV-C for investigations of pathogenesis in children

Anthony Belinda Ingrid Kicic Hales Laing BSc (Hons) PhD BSc (Hons) PhD BSc PhD Rothwell Family Fellow; Head, Airway Epithelial Research Senior Manager, Research Platforms Head, Children's Respiratory Science 6319 1828 Anthony.Kicic@thekids.org.au

Children’s regenerative and genetic medicine program

The project aims to build capacity in regenerative medicine for children with respiratory diseases.

A tonsil organ model to evaluate carriage, disease mechanisms and therapeutic interventions for the treatment and prevention of Group A Streptococcus infections

Anthony Tim Kicic Barnett BSc (Hons) PhD PhD Rothwell Family Fellow; Head, Airway Epithelial Research Head, Strep A Pathogenesis and Diagnostics Anthony.Kicic@thekids.org.au timothy.barnett@thekids.org.au Rothwell Family Fellow; Head, Airway

The next generation of impact in cystic fibrosis

Lung damage in children with CF occurs much earlier than previously thought, and proving this is related to the decline that occurs later will create new paradigms for prevention and treatment.

Preterm Paediatric Inhaled Corticosteroids Intervention (PICSI)

Understanding if ongoing inflammation in the lungs contributes to the poor lung health experienced by some children who were born preterm.

Developing sensitive endpoints for respiratory disease progression in children with neuromuscular disease

We hope that through earlier diagnosis and treatment of muscle weakness during sleep, we can prevent future lung failure in children with neuromuscular disorders.

Personalised, machine learning based prediction of asthma in children

This study aims to show that asthma and allergies in individuals can be predicted before it occurs based on individual family history and information on the early environment.