TY - JOUR
T1 - The upper and lower respiratory tract microbiome in severe aspiration pneumonia
AU - Kitsios, Georgios D.
AU - Nguyen, Vi D.
AU - Sayed, Khaled
AU - Al-Yousif, Nameer
AU - Schaefer, Caitlin
AU - Shah, Faraaz A.
AU - Bain, William
AU - Yang, Haopu
AU - Fitch, Adam
AU - Li, Kelvin
AU - Wang, Xiaohong
AU - Qin, Shulin
AU - Gentry, Heather
AU - Zhang, Yingze
AU - Varon, Jack
AU - Arciniegas Rubio, Antonio
AU - Englert, Joshua A.
AU - Baron, Rebecca M.
AU - Lee, Janet S.
AU - Methé, Barbara
AU - Benos, Panayiotis V.
AU - Morris, Alison
AU - McVerry, Bryan J.
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/6/16
Y1 - 2023/6/16
N2 - Uncertainty persists whether anaerobic bacteria represent important pathogens in aspiration pneumonia. In a nested case-control study of mechanically ventilated patients classified as macro-aspiration pneumonia (MAsP, n = 56), non-macro-aspiration pneumonia (NonMAsP, n = 91), and uninfected controls (n = 11), we profiled upper (URT) and lower respiratory tract (LRT) microbiota with bacterial 16S rRNA gene sequencing, measured plasma host-response biomarkers, analyzed bacterial communities by diversity and oxygen requirements, and performed unsupervised clustering with Dirichlet Multinomial Models (DMM). MAsP and NonMAsP patients had indistinguishable microbiota profiles by alpha diversity and oxygen requirements with similar host-response profiles and 60-day survival. Unsupervised DMM clusters revealed distinct bacterial clusters in the URT and LRT, with low-diversity clusters enriched for facultative anaerobes and typical pathogens, associated with higher plasma levels of SPD and sCD14 and worse 60-day survival. The predictive inter-patient variability in these bacterial profiles highlights the importance of microbiome study in patient sub-phenotyping and precision medicine approaches for severe pneumonia.
AB - Uncertainty persists whether anaerobic bacteria represent important pathogens in aspiration pneumonia. In a nested case-control study of mechanically ventilated patients classified as macro-aspiration pneumonia (MAsP, n = 56), non-macro-aspiration pneumonia (NonMAsP, n = 91), and uninfected controls (n = 11), we profiled upper (URT) and lower respiratory tract (LRT) microbiota with bacterial 16S rRNA gene sequencing, measured plasma host-response biomarkers, analyzed bacterial communities by diversity and oxygen requirements, and performed unsupervised clustering with Dirichlet Multinomial Models (DMM). MAsP and NonMAsP patients had indistinguishable microbiota profiles by alpha diversity and oxygen requirements with similar host-response profiles and 60-day survival. Unsupervised DMM clusters revealed distinct bacterial clusters in the URT and LRT, with low-diversity clusters enriched for facultative anaerobes and typical pathogens, associated with higher plasma levels of SPD and sCD14 and worse 60-day survival. The predictive inter-patient variability in these bacterial profiles highlights the importance of microbiome study in patient sub-phenotyping and precision medicine approaches for severe pneumonia.
KW - Clinical finding
KW - Microbiome
KW - Respiratory medicine
UR - http://www.scopus.com/inward/record.url?scp=85159570933&partnerID=8YFLogxK
U2 - 10.1016/j.isci.2023.106832
DO - 10.1016/j.isci.2023.106832
M3 - Article
C2 - 37250794
AN - SCOPUS:85159570933
SN - 2589-0042
VL - 26
JO - iScience
JF - iScience
IS - 6
M1 - 106832
ER -