Signatures of COVID-19 Severity and Immune Response in the Respiratory Tract Microbiome
| Autor: | Derek A. Oldridge, Ceylan Tanes, Kyle Bittinger, Guanxiang Liang, Madeline S Merlino, Carter Merenstein, Louis J. Taylor, Ronald G. Collman, Josephine R. Giles, Frederic D. Bushman, Abigail L. Glascock, Amy E. Baxter, Jevon Graham-Wooten, Layla A Khatib, John E. McGinniss, Shantan Reddy, E. John Wherry, Samantha A Whiteside, Ana G Cobián-Güemes, Nuala J. Meyer, Ayannah S. Fitzgerald |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Lung microbiome coronavirus Oropharynx Disease medicine.disease_cause Microbiology Anelloviridae Severity of Illness Index Article Immune system respiratory microbiome Virology Nasopharynx RNA Ribosomal 16S Medicine Humans Human virome Microbiome Lymphocyte Count Lung 16S rRNA gene sequencing Coronavirus Aged Aged 80 and over biology Bacteria business.industry redondovirus SARS-CoV-2 Microbiota COVID-19 Middle Aged biology.organism_classification medicine.disease QR1-502 medicine.anatomical_structure Immunology Dysbiosis Female Viral disease anellovirus business Research Article Respiratory tract |
| Zdroj: | mBio, Vol 12, Iss 4 (2021) medRxiv article-version (status) pre article-version (number) 1 mBio |
| ISSN: | 2150-7511 |
| Popis: | Viral infection of the respiratory tract can be associated with propagating effects on the airway microbiome, and microbiome dysbiosis may influence viral disease. Here, we investigated the respiratory tract microbiome in coronavirus disease 2019 (COVID-19) and its relationship to disease severity, systemic immunologic features, and outcomes. We examined 507 oropharyngeal, nasopharyngeal, and endotracheal samples from 83 hospitalized COVID-19 patients as well as non-COVID patients and healthy controls. Bacterial communities were interrogated using 16S rRNA gene sequencing, and the commensal DNA viruses Anelloviridae and Redondoviridae were quantified by qPCR. We found that COVID-19 patients had upper respiratory microbiome dysbiosis and greater change over time than critically ill patients without COVID-19. Oropharyngeal microbiome diversity at the first time point correlated inversely with disease severity during hospitalization. Microbiome composition was also associated with systemic immune parameters in blood, as measured by lymphocyte/neutrophil ratios and immune profiling of peripheral blood mononuclear cells. Intubated patients showed patient-specific lung microbiome communities that were frequently highly dynamic, with prominence of Staphylococcus. Anelloviridae and Redondoviridae showed more frequent colonization and higher titers in severe disease. Machine learning analysis demonstrated that integrated features of the microbiome at early sampling points had high power to discriminate ultimate level of COVID-19 severity. Thus, the respiratory tract microbiome and commensal viruses are disturbed in COVID-19 and correlate with systemic immune parameters, and early microbiome features discriminate disease severity. Future studies should address clinical consequences of airway dysbiosis in COVID-19, its possible use as biomarkers, and the role of bacterial and viral taxa identified here in COVID-19 pathogenesis. IMPORTANCE COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection of the respiratory tract, results in highly variable outcomes ranging from minimal illness to death, but the reasons for this are not well understood. We investigated the respiratory tract bacterial microbiome and small commensal DNA viruses in hospitalized COVID-19 patients and found that each was markedly abnormal compared to that in healthy people and differed from that in critically ill patients without COVID-19. Early airway samples tracked with the level of COVID-19 illness reached during hospitalization, and the airway microbiome also correlated with immune parameters in blood. These findings raise questions about the mechanisms linking SARS-CoV-2 infection and other microbial inhabitants of the airway, including whether the microbiome might regulate severity of COVID-19 disease and/or whether early microbiome features might serve as biomarkers to discriminate disease severity. |
| Databáze: | OpenAIRE |
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