Search
Research
Mucus accumulation in the lungs precedes structural changes and infection in children with cystic fibrosisThese findings indicate that early CF lung disease is characterized by an increased mucus burden and inflammatory markers without infection or structural lung disease
Research
Azithromycin reduces airway inflammation induced by human rhinovirus in lung allograft recipientsOur data illustrate that rhinovirus infection is capable of infecting upper and lower airway epithelial cells, driving cell death and inflammation
Research
The cumulative effect of inflammation and infection on structural lung disease in early cystic fibrosisPulmonary inflammation in surveillance bronchoalveolar lavage has a cumulative effect on structural lung disease extent, more so than infection
Research
Detection of bile acids in bronchoalveolar lavage fluid defines the inflammatory and microbial landscape of the lower airways in infants with cystic fibrosisCystic Fibrosis (CF) is a genetic condition characterized by neutrophilic inflammation and recurrent infection of the airways. How these processes are initiated and perpetuated in CF remains largely unknown. We have demonstrated a link between the intestinal microbiota-related metabolites bile acids and inflammation in the bronchoalveolar lavage fluid from children with stable CF lung disease.
Research
Net benefit of smaller human populations to environmental integrity and individual health and wellbeingThe global human population is still growing such that our collective enterprise is driving environmental catastrophe. Despite a decline in average population growth rate, we are still experiencing the highest annual increase of global human population size in the history of our species-averaging an additional 84 million people per year since 1990.
Research
Pulmonary bacteriophage and cystic fibrosis airway mucus: friends or foes?For those born with cystic fibrosis (CF), hyper-concentrated mucus with a dysfunctional structure significantly impacts CF airways, providing a perfect environment for bacterial colonization and subsequent chronic infection. Early treatment with antibiotics limits the prevalence of bacterial pathogens but permanently alters the CF airway microenvironment, resulting in antibiotic resistance and other long-term consequences.
Research
How climate change degrades child health: A systematic review and meta-analysisChildren are more vulnerable than adults to climate-related health threats, but reviews examining how climate change affects human health have been mainly descriptive and lack an assessment of the magnitude of health effects children face. This is the first systematic review and meta-analysis that identifies which climate-health relationships pose the greatest threats to children.
Research
A near-complete genome of the uncultured Staphylococcus aureus phage COMBAT-CF_PAR1 isolated from the lungs of an infant with cystic fibrosisIn cystic fibrosis, bacteria–bacteriophage interaction in the lower airways is poorly understood. We present the near-complete genome of the uncultured Siphovirus-like bacteriophage, Staphylococcus aureus phage COMBAT-CF_PAR1, isolated from the lower airways. The genome spans 41,510 bp with 33.45% guanine–cytosine content and contains 65 open reading frames.
Research
Altered dietary behaviour during pregnancy impacts systemic metabolic phenotypesEvidence suggests consumption of a Mediterranean diet (MD) can positively impact both maternal and offspring health, potentially mediated by a beneficial effect on inflammatory pathways. We aimed to apply metabolic profiling of serum and urine samples to assess differences between women who were stratified into high and low alignment to a MD throughout pregnancy and investigate the relationship of the diet to inflammatory markers.
Research
Differential cell counts using center-point networks achieves human-level accuracy and efficiency over segmentationDifferential cell counts is a challenging task when applying computer vision algorithms to pathology. Existing approaches to train cell recognition require high availability of multi-class segmentation and/or bounding box annotations and suffer in performance when objects are tightly clustered.