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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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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. |
format | Online Article Text |
id | pubmed-10246035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
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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