ArticleBMC pulmonary medicine2021
Repeated bronchoscopy in health and obstructive lung disease: is the airway microbiome stable?
Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Review
- Characteristics of Respiratory Microbiome in COPD-A Literature Review.Advances in respiratory medicine · 2026Review
- Construction and Validation of a Machine Learning Model Based on Clinical and Microbiomic Features for Predicting High Mucus Secretion in COPD.International journal of chronic obstructive pulmonary disease · 2026Article
- Cefazolin shifts the kidney microbiota to promote a lithogenic environment.Nature communications · 2024Article
- Comparative Analysis of Microbiota in Jiani Yaks with Different Rib Structures.Life (Basel, Switzerland) · 2024Article
- Article
- The Microbiome as Part of the Contemporary View of Tuberculosis Disease.Pathogens (Basel, Switzerland) · 2022Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveLittle is known concerning the stability of the lower airway microbiome. We have compared the microbiota identified by repeated bronchoscopy in healthy subjects and patients with ostructive lung diseaseases (OLD).
methods21 healthy controls and 41 patients with OLD completed two bronchoscopies. In addition to negative controls (NCS) and oral wash (OW) samples, we gathered protected bronchoalveolar lavage in two fractions (PBAL1 and PBAL2) and protected specimen brushes (PSB). After DNA extraction, we amplified the V3V4 region of the 16S rRNA gene, and performed paired-end sequencing (Illumina MiSeq). Initial bioinformatic processing was carried out in the QIIME-2 pipeline, identifying amplicon sequence variants (ASVs) with the DADA2 algorithm. Potentially contaminating ASVs were identified and removed using the decontam package in R and the sequenced NCS.
resultsA final table of 551 ASVs consisted of 19 × 10
conclusionThe airways microbiota varied between examinations. However, there is compositional microbiota stability within a person, beyond that of chance, supporting the notion of a transient airways microbiota with a possibly more stable individual core microbiome.
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Registered trials
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