Airway Bacteria Quantification Using Polymerase Chain Reaction Combined with Neutrophil and Eosinophil Counts Identifies Distinct COPD Endotypes.
Haemophilus influenzae
airway colonisation
chronic obstructive pulmonary disease
eosinophil
eosinophilic inflammation
inflammatory endotypes
neutrophil
neutrophilic inflammation
sputum
Journal
Biomedicines
ISSN: 2227-9059
Titre abrégé: Biomedicines
Pays: Switzerland
ID NLM: 101691304
Informations de publication
Date de publication:
27 Sep 2021
27 Sep 2021
Historique:
received:
26
08
2021
revised:
21
09
2021
accepted:
22
09
2021
entrez:
23
10
2021
pubmed:
24
10
2021
medline:
24
10
2021
Statut:
epublish
Résumé
Chronic obstructive pulmonary disease (COPD) inflammatory endotypes are associated with different airway microbiomes. We used quantitative polymerase chain reaction (qPCR) analysis of sputum samples to establish the bacterial load upper limit in healthy controls; these values determined the bacterial colonisation prevalence in a longitudinal COPD cohort. Bacteriology combined with sputum inflammatory cells counts were used to investigate COPD endotypes. Sixty COPD patients and 15 healthy non-smoking controls were recruited. Sputum was analysed by qPCR (for At baseline and 6 months, 23.1% and 25.6% of COPD patients were colonised with The prevalence of
Sections du résumé
BACKGROUND
BACKGROUND
Chronic obstructive pulmonary disease (COPD) inflammatory endotypes are associated with different airway microbiomes. We used quantitative polymerase chain reaction (qPCR) analysis of sputum samples to establish the bacterial load upper limit in healthy controls; these values determined the bacterial colonisation prevalence in a longitudinal COPD cohort. Bacteriology combined with sputum inflammatory cells counts were used to investigate COPD endotypes.
METHODS
METHODS
Sixty COPD patients and 15 healthy non-smoking controls were recruited. Sputum was analysed by qPCR (for
RESULTS
RESULTS
At baseline and 6 months, 23.1% and 25.6% of COPD patients were colonised with
CONCLUSIONS
CONCLUSIONS
The prevalence of
Identifiants
pubmed: 34680454
pii: biomedicines9101337
doi: 10.3390/biomedicines9101337
pmc: PMC8533560
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : AstraZeneca
ID : ESR-16-11869
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