Common lung microbiome identified among mechanically ventilated surgical patients

Ashley D. Smith, Yan Zhang, Robert C. Barber, Christian T. Minshall, Ryan M. Huebinger, Michael S. Allen

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The examination of the pulmonary microbiome in patients with non-chronic disease states has not been extensively examined. Traditional culture based screening methods are often unable to identify bacteria from bronchoalveolar lavage samples. The advancement of nextgeneration sequencing technologies allows for a culture-independent molecular based analysis to determine the microbial composition in the lung of this patient population. For this study, the Ion Torrent PGM system was used to assess the microbial complexity of culture negative bronchoalveolar lavage samples. A group of samples were identified that all displayed high diversity and similar relative abundance of bacteria. This group consisted of Hydrogenophaga, unclassified Bacteroidetes, Pedobacter, Thauera, and Acinetobacter. These bacteria may be representative of a common non-pathogenic pulmonary microbiome associated within this population of patients.

Original languageEnglish
Article numbere0166313
JournalPLoS ONE
Volume11
Issue number11
DOIs
StatePublished - Nov 2016

Fingerprint

Microbiota
Bacteria
lungs
Bronchoalveolar Lavage
Lung
Pedobacter
Thauera
Hydrogenophaga
bacteria
Comamonadaceae
Bacteroidetes
Acinetobacter
sampling
Population
Screening
Ions
ions
screening
Technology
Chemical analysis

Cite this

Smith, Ashley D. ; Zhang, Yan ; Barber, Robert C. ; Minshall, Christian T. ; Huebinger, Ryan M. ; Allen, Michael S. / Common lung microbiome identified among mechanically ventilated surgical patients. In: PLoS ONE. 2016 ; Vol. 11, No. 11.
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Common lung microbiome identified among mechanically ventilated surgical patients. / Smith, Ashley D.; Zhang, Yan; Barber, Robert C.; Minshall, Christian T.; Huebinger, Ryan M.; Allen, Michael S.

In: PLoS ONE, Vol. 11, No. 11, e0166313, 11.2016.

Research output: Contribution to journalArticle

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