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This study investigated the potential role of ST2 in children with acute asthma.
Asthma is more common in childhood than in adulthood and is more correctly thought of as a syndrome than as a discrete condition.
Mothers with asthma or atopy have a higher likelihood of having autistic children, with maternal immune activation in pregnancy implicated as a mechanism. This study aimed to determine, in a prospective cohort of mothers with asthma and their infants, whether inflammatory gene expression in pregnancy is associated with likelihood of future autism.
Australian scientists have today launched a world first research trial into a treatment that could prevent asthma in high risk children.
The objective of this study was to elucidate the molecular networks that underpin virus-induced exacerbations in asthmatic children in vivo.
The objective of this study was to elucidate the molecular networks that underpin virus-induced exacerbations in asthmatic children in vivo.
This study evaluated the relationship between cat allergen–specific biomarkers in adults with cat allergy with and without cat ownership.
Lung transcriptomics studies in asthma have provided valuable information in the whole lung context, however, deciphering the individual contributions of the airway and parenchyma in disease pathogenesis may expedite the development of novel targeted treatment strategies. In this study, we performed transcriptomics on the airway and parenchyma using a house dust mite (HDM)-induced model of experimental asthma that replicates key features of the human disease.
This article provides a contemporary report on the role of adipose tissue in respiratory dysfunction. Adipose tissue is distributed throughout the body, accumulating beneath the skin (subcutaneous), around organs (visceral), and importantly in the context of respiratory disease, has recently been shown to accumulate within the airway wall: "airway-associated adipose tissue." Excessive adipose tissue deposition compromises respiratory function and increases the severity of diseases such as asthma.
To introduce a disease prognosis framework enabled by a robust classification scheme derived from patient-specific transcriptomic response to stimulation.