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Composition and diversity analysis of the lung microbiome in patients with suspected ventilator-associated pneumonia

BACKGROUND: Ventilator-associated pneumonia (VAP) is associated with high morbidity and health care costs, yet diagnosis remains a challenge. Analysis of airway microbiota by amplicon sequencing provides a possible solution, as pneumonia is characterised by a disruption of the microbiome. However, s...

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Autores principales: Fenn, Dominic, Abdel-Aziz, Mahmoud I., van Oort, Pouline M. P., Brinkman, Paul, Ahmed, Waqar M., Felton, Timothy, Artigas, Antonio, Póvoa, Pedro, Martin-Loeches, Ignacio, Schultz, Marcus J., Dark, Paul, Fowler, Stephen J., Bos, Lieuwe D. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261066/
https://www.ncbi.nlm.nih.gov/pubmed/35794610
http://dx.doi.org/10.1186/s13054-022-04068-z
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author Fenn, Dominic
Abdel-Aziz, Mahmoud I.
van Oort, Pouline M. P.
Brinkman, Paul
Ahmed, Waqar M.
Felton, Timothy
Artigas, Antonio
Póvoa, Pedro
Martin-Loeches, Ignacio
Schultz, Marcus J.
Dark, Paul
Fowler, Stephen J.
Bos, Lieuwe D. J.
author_facet Fenn, Dominic
Abdel-Aziz, Mahmoud I.
van Oort, Pouline M. P.
Brinkman, Paul
Ahmed, Waqar M.
Felton, Timothy
Artigas, Antonio
Póvoa, Pedro
Martin-Loeches, Ignacio
Schultz, Marcus J.
Dark, Paul
Fowler, Stephen J.
Bos, Lieuwe D. J.
author_sort Fenn, Dominic
collection PubMed
description BACKGROUND: Ventilator-associated pneumonia (VAP) is associated with high morbidity and health care costs, yet diagnosis remains a challenge. Analysis of airway microbiota by amplicon sequencing provides a possible solution, as pneumonia is characterised by a disruption of the microbiome. However, studies evaluating the diagnostic capabilities of microbiome analysis are limited, with a lack of alignment on possible biomarkers. Using bronchoalveolar lavage fluid (BALF) from ventilated adult patients suspected of VAP, we aimed to explore how key characteristics of the microbiome differ between patients with positive and negative BALF cultures and whether any differences could have a clinically relevant role. METHODS: BALF from patients suspected of VAP was analysed using 16s rRNA sequencing in order to: (1) differentiate between patients with and without a positive culture; (2) determine if there was any association between microbiome diversity and local inflammatory response; and (3) correctly identify pathogens detected by conventional culture. RESULTS: Thirty-seven of 90 ICU patients with suspected VAP had positive cultures. Patients with a positive culture had significant microbiome dysbiosis with reduced alpha diversity. However, gross compositional variance was not strongly associated with culture positivity (AUROCC range 0.66–0.71). Patients with a positive culture had a significantly higher relative abundance of pathogenic bacteria compared to those without [0.45 (IQR 0.10–0.84), 0.02 (IQR 0.004–0.09), respectively], and an increased interleukin (IL)-1β was associated with reduced species evenness (r(s) = − 0.33, p < 0.01) and increased pathogenic bacteria presence (r(s) = 0.28, p = 0.013). Untargeted 16s rRNA pathogen detection was limited by false positives, while the use of pathogen-specific relative abundance thresholds showed better diagnostic accuracy (AUROCC range 0.89–0.998). CONCLUSION: Patients with positive BALF culture had increased dysbiosis and genus dominance. An increased caspase-1-dependent IL-1b expression was associated with a reduced species evenness and increased pathogenic bacterial presence, providing a possible causal link between microbiome dysbiosis and lung injury development in VAP. However, measures of diversity were an unreliable predictor of culture positivity and 16s sequencing used agnostically could not usefully identify pathogens; this could be overcome if pathogen-specific relative abundance thresholds are used. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04068-z.
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spelling pubmed-92610662022-07-08 Composition and diversity analysis of the lung microbiome in patients with suspected ventilator-associated pneumonia Fenn, Dominic Abdel-Aziz, Mahmoud I. van Oort, Pouline M. P. Brinkman, Paul Ahmed, Waqar M. Felton, Timothy Artigas, Antonio Póvoa, Pedro Martin-Loeches, Ignacio Schultz, Marcus J. Dark, Paul Fowler, Stephen J. Bos, Lieuwe D. J. Crit Care Research BACKGROUND: Ventilator-associated pneumonia (VAP) is associated with high morbidity and health care costs, yet diagnosis remains a challenge. Analysis of airway microbiota by amplicon sequencing provides a possible solution, as pneumonia is characterised by a disruption of the microbiome. However, studies evaluating the diagnostic capabilities of microbiome analysis are limited, with a lack of alignment on possible biomarkers. Using bronchoalveolar lavage fluid (BALF) from ventilated adult patients suspected of VAP, we aimed to explore how key characteristics of the microbiome differ between patients with positive and negative BALF cultures and whether any differences could have a clinically relevant role. METHODS: BALF from patients suspected of VAP was analysed using 16s rRNA sequencing in order to: (1) differentiate between patients with and without a positive culture; (2) determine if there was any association between microbiome diversity and local inflammatory response; and (3) correctly identify pathogens detected by conventional culture. RESULTS: Thirty-seven of 90 ICU patients with suspected VAP had positive cultures. Patients with a positive culture had significant microbiome dysbiosis with reduced alpha diversity. However, gross compositional variance was not strongly associated with culture positivity (AUROCC range 0.66–0.71). Patients with a positive culture had a significantly higher relative abundance of pathogenic bacteria compared to those without [0.45 (IQR 0.10–0.84), 0.02 (IQR 0.004–0.09), respectively], and an increased interleukin (IL)-1β was associated with reduced species evenness (r(s) = − 0.33, p < 0.01) and increased pathogenic bacteria presence (r(s) = 0.28, p = 0.013). Untargeted 16s rRNA pathogen detection was limited by false positives, while the use of pathogen-specific relative abundance thresholds showed better diagnostic accuracy (AUROCC range 0.89–0.998). CONCLUSION: Patients with positive BALF culture had increased dysbiosis and genus dominance. An increased caspase-1-dependent IL-1b expression was associated with a reduced species evenness and increased pathogenic bacterial presence, providing a possible causal link between microbiome dysbiosis and lung injury development in VAP. However, measures of diversity were an unreliable predictor of culture positivity and 16s sequencing used agnostically could not usefully identify pathogens; this could be overcome if pathogen-specific relative abundance thresholds are used. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-022-04068-z. BioMed Central 2022-07-06 /pmc/articles/PMC9261066/ /pubmed/35794610 http://dx.doi.org/10.1186/s13054-022-04068-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fenn, Dominic
Abdel-Aziz, Mahmoud I.
van Oort, Pouline M. P.
Brinkman, Paul
Ahmed, Waqar M.
Felton, Timothy
Artigas, Antonio
Póvoa, Pedro
Martin-Loeches, Ignacio
Schultz, Marcus J.
Dark, Paul
Fowler, Stephen J.
Bos, Lieuwe D. J.
Composition and diversity analysis of the lung microbiome in patients with suspected ventilator-associated pneumonia
title Composition and diversity analysis of the lung microbiome in patients with suspected ventilator-associated pneumonia
title_full Composition and diversity analysis of the lung microbiome in patients with suspected ventilator-associated pneumonia
title_fullStr Composition and diversity analysis of the lung microbiome in patients with suspected ventilator-associated pneumonia
title_full_unstemmed Composition and diversity analysis of the lung microbiome in patients with suspected ventilator-associated pneumonia
title_short Composition and diversity analysis of the lung microbiome in patients with suspected ventilator-associated pneumonia
title_sort composition and diversity analysis of the lung microbiome in patients with suspected ventilator-associated pneumonia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261066/
https://www.ncbi.nlm.nih.gov/pubmed/35794610
http://dx.doi.org/10.1186/s13054-022-04068-z
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