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Respiratory Fungal Communities are Associated with Systemic Inflammation and Predict Survival in Patients with Acute Respiratory Failure

RATIONALE: Disruption of respiratory bacterial communities predicts poor clinical outcomes in critical illness; however, the role of respiratory fungal communities (mycobiome) is poorly understood. OBJECTIVES: We investigated whether mycobiota variation in the respiratory tract is associated with ho...

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Autores principales: Britton, Noel, Yang, Haopu, Fitch, Adam, Li, Kelvin, Seyed, Khaled, Guo, Rui, Qin, Shulin, Zhang, Yingze, Bain, William, Shah, Faraaz, Biswas, Partha, Choi, Wonseok, Finkelman, Malcolm, Zhang, Yonglong, Haggerty, Catherine L., Benos, Panayiotis V., Brooks, Maria M., McVerry, Bryan J., Methe, Barbara, Kitsios, Georgios D., Morris, Alison
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246035/
https://www.ncbi.nlm.nih.gov/pubmed/37292915
http://dx.doi.org/10.1101/2023.05.11.23289861
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author Britton, Noel
Yang, Haopu
Fitch, Adam
Li, Kelvin
Seyed, Khaled
Guo, Rui
Qin, Shulin
Zhang, Yingze
Bain, William
Shah, Faraaz
Biswas, Partha
Choi, Wonseok
Finkelman, Malcolm
Zhang, Yonglong
Haggerty, Catherine L.
Benos, Panayiotis V.
Brooks, Maria M.
McVerry, Bryan J.
Methe, Barbara
Kitsios, Georgios D.
Morris, Alison
author_facet Britton, Noel
Yang, Haopu
Fitch, Adam
Li, Kelvin
Seyed, Khaled
Guo, Rui
Qin, Shulin
Zhang, Yingze
Bain, William
Shah, Faraaz
Biswas, Partha
Choi, Wonseok
Finkelman, Malcolm
Zhang, Yonglong
Haggerty, Catherine L.
Benos, Panayiotis V.
Brooks, Maria M.
McVerry, Bryan J.
Methe, Barbara
Kitsios, Georgios D.
Morris, Alison
author_sort Britton, Noel
collection PubMed
description RATIONALE: Disruption of respiratory bacterial communities predicts poor clinical outcomes in critical illness; however, the role of respiratory fungal communities (mycobiome) is poorly understood. OBJECTIVES: We investigated whether mycobiota variation in the respiratory tract is associated with host-response and clinical outcomes in critically ill patients. METHODS: To characterize the upper and lower respiratory tract mycobiota, we performed rRNA gene sequencing (internal transcribed spacer) of oral swabs and endotracheal aspirates (ETA) from 316 mechanically-ventilated patients. We examined associations of mycobiome profiles (diversity and composition) with clinical variables, host-response biomarkers, and outcomes. MEASUREMENTS AND MAIN RESULTS: ETA samples with >50% relative abundance for C. albicans (51%) were associated with elevated plasma IL-8 and pentraxin-3 (p=0.05), longer time-to-liberation from mechanical ventilation (p=0.04) and worse 30-day survival (adjusted hazards ratio (adjHR): 1.96 [1.04–3.81], p=0.05). Using unsupervised clustering, we derived two clusters in ETA samples, with Cluster 2 (39%) showing lower alpha diversity (p<0.001) and higher abundance of C. albicans (p<0.001). Cluster 2 was significantly associated with the prognostically adverse hyperinflammatory subphenotype (odds ratio 2.07 [1.03–4.18], p=0.04) and predicted worse survival (adjHR: 1.81 [1.03–3.19], p=0.03). C. albicans abundance in oral swabs was also associated with the hyperinflammatory subphenotype and mortality. CONCLUSIONS: Variation in respiratory mycobiota was significantly associated with systemic inflammation and clinical outcomes. C. albicans abundance emerged as a negative predictor in both the upper and lower respiratory tract. The lung mycobiome may play an important role in the biological and clinical heterogeneity among critically ill patients and represent a potential therapeutic target for lung injury in critical illness.
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spelling pubmed-102460352023-06-08 Respiratory Fungal Communities are Associated with Systemic Inflammation and Predict Survival in Patients with Acute Respiratory Failure Britton, Noel Yang, Haopu Fitch, Adam Li, Kelvin Seyed, Khaled Guo, Rui Qin, Shulin Zhang, Yingze Bain, William Shah, Faraaz Biswas, Partha Choi, Wonseok Finkelman, Malcolm Zhang, Yonglong Haggerty, Catherine L. Benos, Panayiotis V. Brooks, Maria M. McVerry, Bryan J. Methe, Barbara Kitsios, Georgios D. Morris, Alison medRxiv Article RATIONALE: Disruption of respiratory bacterial communities predicts poor clinical outcomes in critical illness; however, the role of respiratory fungal communities (mycobiome) is poorly understood. OBJECTIVES: We investigated whether mycobiota variation in the respiratory tract is associated with host-response and clinical outcomes in critically ill patients. METHODS: To characterize the upper and lower respiratory tract mycobiota, we performed rRNA gene sequencing (internal transcribed spacer) of oral swabs and endotracheal aspirates (ETA) from 316 mechanically-ventilated patients. We examined associations of mycobiome profiles (diversity and composition) with clinical variables, host-response biomarkers, and outcomes. MEASUREMENTS AND MAIN RESULTS: ETA samples with >50% relative abundance for C. albicans (51%) were associated with elevated plasma IL-8 and pentraxin-3 (p=0.05), longer time-to-liberation from mechanical ventilation (p=0.04) and worse 30-day survival (adjusted hazards ratio (adjHR): 1.96 [1.04–3.81], p=0.05). Using unsupervised clustering, we derived two clusters in ETA samples, with Cluster 2 (39%) showing lower alpha diversity (p<0.001) and higher abundance of C. albicans (p<0.001). Cluster 2 was significantly associated with the prognostically adverse hyperinflammatory subphenotype (odds ratio 2.07 [1.03–4.18], p=0.04) and predicted worse survival (adjHR: 1.81 [1.03–3.19], p=0.03). C. albicans abundance in oral swabs was also associated with the hyperinflammatory subphenotype and mortality. CONCLUSIONS: Variation in respiratory mycobiota was significantly associated with systemic inflammation and clinical outcomes. C. albicans abundance emerged as a negative predictor in both the upper and lower respiratory tract. The lung mycobiome may play an important role in the biological and clinical heterogeneity among critically ill patients and represent a potential therapeutic target for lung injury in critical illness. Cold Spring Harbor Laboratory 2023-05-16 /pmc/articles/PMC10246035/ /pubmed/37292915 http://dx.doi.org/10.1101/2023.05.11.23289861 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Britton, Noel
Yang, Haopu
Fitch, Adam
Li, Kelvin
Seyed, Khaled
Guo, Rui
Qin, Shulin
Zhang, Yingze
Bain, William
Shah, Faraaz
Biswas, Partha
Choi, Wonseok
Finkelman, Malcolm
Zhang, Yonglong
Haggerty, Catherine L.
Benos, Panayiotis V.
Brooks, Maria M.
McVerry, Bryan J.
Methe, Barbara
Kitsios, Georgios D.
Morris, Alison
Respiratory Fungal Communities are Associated with Systemic Inflammation and Predict Survival in Patients with Acute Respiratory Failure
title Respiratory Fungal Communities are Associated with Systemic Inflammation and Predict Survival in Patients with Acute Respiratory Failure
title_full Respiratory Fungal Communities are Associated with Systemic Inflammation and Predict Survival in Patients with Acute Respiratory Failure
title_fullStr Respiratory Fungal Communities are Associated with Systemic Inflammation and Predict Survival in Patients with Acute Respiratory Failure
title_full_unstemmed Respiratory Fungal Communities are Associated with Systemic Inflammation and Predict Survival in Patients with Acute Respiratory Failure
title_short Respiratory Fungal Communities are Associated with Systemic Inflammation and Predict Survival in Patients with Acute Respiratory Failure
title_sort respiratory fungal communities are associated with systemic inflammation and predict survival in patients with acute respiratory failure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246035/
https://www.ncbi.nlm.nih.gov/pubmed/37292915
http://dx.doi.org/10.1101/2023.05.11.23289861
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