Detection of pathogenic bacteria and biomarkers in lung specimens from cystic fibrosis patients.
James J TolleSamadhan JadhaoBrijesh PatelHeying SunSusan EastmanTina HartertDavid N KuLarry AndersonPublished in: Journal of breath research (2024)
Diagnosing lung infections is often challenging because of the lack of a high-quality specimen from the diseased lung. Since persons with cystic fibrosis are subject to chronic lung infection, there is frequently a need for a lung specimen. In this small, proof of principle study, we determined that PneumoniaCheckTM, a non-invasive device that captures coughed droplets from the lung on a filter, might help meet this need. We obtained 10 PneumoniaCheckTM coughed specimens and 2 sputum specimens from adult CF patients hospitalized with an exacerbation of their illness. We detected amylase (upper respiratory tract) with an enzymatic assay, surfactant A (lower respiratory tract) with an immunoassay, pathogenic bacteria by PCR, and markers of inflammation by a Luminex multiplex immunoassay. The amylase and surfactant A levels suggested that 9/10 coughed specimens were from lower respiratory tract with minimal upper respiratory contamination. The PCR assays detected pathogenic bacteria in 7 of 9 specimens and multiplex Luminex assay detected a variety of cytokines or chemokines. These data indicate that the PneumoniaCheckTM coughed specimens can capture good quality lower respiratory tract specimens that have the potential to help in diagnosis, management and understanding of CF exacerbations and other lung disease.
Keyphrases
- respiratory tract
- cystic fibrosis
- end stage renal disease
- high throughput
- chronic kidney disease
- real time pcr
- ejection fraction
- fine needle aspiration
- newly diagnosed
- peritoneal dialysis
- pseudomonas aeruginosa
- prognostic factors
- machine learning
- lung function
- risk assessment
- big data
- label free
- quality improvement
- patient reported
- extracorporeal membrane oxygenation
- quantum dots
- mechanical ventilation
- health risk