ID
45426
Description
Principal Investigator: Leopoldo Nicolas Segal, PhD, New York University, School of Medicine, New York, NY, USA MeSH: Pneumonia https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000633 *Background*: The lung microbiome of healthy individuals frequently harbors oral organisms. Despite evidence that micro-aspiration is commonly associated with smoking-related lung diseases, the effects of lung microbiome enrichment with upper airway taxa on inflammation has not been studied. We hypothesize that the presence of oral microorganisms in the lung microbiome is associated with enhanced pulmonary inflammation. *Methods*: We sampled bronchoalveolar lavage (BAL) from the lower airways of 29 asymptomatic subjects (9 never-smokers, 14 former-smokers and 6 current-smokers). We quantified, amplified, and sequenced 16S rRNA genes from BAL samples by qPCR and 454 sequencing. Pulmonary inflammation was assessed by exhaled nitric oxide (eNO), BAL lymphocytes and neutrophils. *Results*: BAL had lower total 16S than supraglottic samples and higher than saline background. Bacterial communities in the lower airway clustered in two distinct groups that we designated as pneumotypes. The rRNA gene concentration and microbial community of the first pneumotype was similar to that of the saline background. The second pneumotype had higher rRNA gene concentration and higher relative abundance of supraglottic-characteristic taxa (SCT), such as Veillonella and Prevotella, and we called it pneumotypeSCT. Smoking had no effect on pneumotype allocation, alpha or beta diversity. PneumotypeSCT was associated with higher BAL lymphocyte-count (p = 0.007), BAL neutrophil-count (p = 0.034) and eNO (p = 0.022). *Conclusion*: A pneumotype with high relative abundance of supraglottic-characteristic taxa is associated with enhanced subclinical lung inflammation.
Link
Keywords
Versions (1)
- 11/25/22 11/25/22 - Simon Heim
Copyright Holder
Leopoldo Nicolas Segal, PhD, New York University, School of Medicine, New York, NY, USA
Uploaded on
November 25, 2022
DOI
To request one please log in.
License
Creative Commons BY 4.0
Model comments :
You can comment on the data model here. Via the speech bubbles at the itemgroups and items you can add comments to those specificially.
Itemgroup comments for :
Item comments for :
In order to download data models you must be logged in. Please log in or register for free.
dbGaP phs000633 Enrichment of Lung Microbiome Associated with Pulmonary Inflammation
Subject - Consent - Affection Status Information
Similar models
Subject - Consent - Affection Status Information
C0449416 (UMLS CUI [1,2])
C0681850 (UMLS CUI [1,3])
C3847505 (UMLS CUI [1,2])
C0449416 (UMLS CUI [1,3])