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Oropharyngeal microbiome profiled at admission is predictive of the need for respiratory support among COVID-19 patients.
Bradley, Evan S; Zeamer, Abigail L; Bucci, Vanni; Cincotta, Lindsey; Salive, Marie-Claire; Dutta, Protiva; Mutaawe, Shafik; Anya, Otuwe; Tocci, Christopher; Moormann, Ann; Ward, Doyle V; McCormick, Beth A; Haran, John P.
  • Bradley ES; Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States.
  • Zeamer AL; Program in Microbiome Dynamics, University of Massachusetts Medical School, Worcester, MA, United States.
  • Bucci V; Program in Microbiome Dynamics, University of Massachusetts Medical School, Worcester, MA, United States.
  • Cincotta L; Department of Microbiology and Physiologic Systems, University of Massachusetts Medical School, Worcester, MA, United States.
  • Salive MC; Program in Microbiome Dynamics, University of Massachusetts Medical School, Worcester, MA, United States.
  • Dutta P; Department of Microbiology and Physiologic Systems, University of Massachusetts Medical School, Worcester, MA, United States.
  • Mutaawe S; Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States.
  • Anya O; Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States.
  • Tocci C; Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States.
  • Moormann A; Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States.
  • Ward DV; Department of Emergency Medicine, UMass Memorial Medical Center, Worcester, MA, United States.
  • McCormick BA; Department of Biology and Biotechnology, Worcester Polytechnique Institute, Worcester, MA, United States.
  • Haran JP; Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States.
Front Microbiol ; 13: 1009440, 2022.
Article in English | MEDLINE | ID: covidwho-2313197
ABSTRACT
The oropharyngeal microbiome, the collective genomes of the community of microorganisms that colonizes the upper respiratory tract, is thought to influence the clinical course of infection by respiratory viruses, including Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of Coronavirus Infectious Disease 2019 (COVID-19). In this study, we examined the oropharyngeal microbiome of suspected COVID-19 patients presenting to the Emergency Department and an inpatient COVID-19 unit with symptoms of acute COVID-19. Of 115 initially enrolled patients, 50 had positive molecular testing for COVID-19+ and had symptom duration of 14 days or less. These patients were analyzed further as progression of disease could most likely be attributed to acute COVID-19 and less likely a secondary process. Of these, 38 (76%) went on to require some form of supplemental oxygen support. To identify functional patterns associated with respiratory illness requiring respiratory support, we applied an interpretable random forest classification machine learning pipeline to shotgun metagenomic sequencing data and select clinical covariates. When combined with clinical factors, both species and metabolic pathways abundance-based models were found to be highly predictive of the need for respiratory support (F1-score 0.857 for microbes and 0.821 for functional pathways). To determine biologically meaningful and highly predictive signals in the microbiome, we applied the Stable and Interpretable RUle Set to the output of the models. This analysis revealed that low abundance of two commensal organisms, Prevotella salivae or Veillonella infantium (< 4.2 and 1.7% respectively), and a low abundance of a pathway associated with LPS biosynthesis (< 0.1%) were highly predictive of developing the need for acute respiratory support (82 and 91.4% respectively). These findings suggest that the composition of the oropharyngeal microbiome in COVID-19 patients may play a role in determining who will suffer from severe disease manifestations.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials Language: English Journal: Front Microbiol Year: 2022 Document Type: Article Affiliation country: Fmicb.2022.1009440

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials Language: English Journal: Front Microbiol Year: 2022 Document Type: Article Affiliation country: Fmicb.2022.1009440