The relationship between gut and nasopharyngeal microbiome composition can predict the severity of COVID-19
Benita Martín-Castaño, Patricia Diez‐EchaveiD, Jorge García-GarcíaiD, Laura Hidalgo‐GarciaiD, Antonio Jesús Ruiz‐MalagóniD, José Alberto Molina‐TijerasiD, María Jesús Rodríguez‐SojoiD, Anaïs Redruello-RomeroiD, Margarita Martínez-Zaldívar, Emilio MotaiD, Fernando CoboiD, Xando Díaz-VillamaríniD, Marta Álvarez-Estévez, Féderico GarcíaiD, Concepción Morales-GarcíaiD, Silvia Merlos, Paula García‐FloresiD, Manuel ColmeneroiD, José Hernández‐QueroiD, Maria Nuñez, Maria Elena Rodríguez‐CabezasiD, Ángel Carazo, Javier J. MartiniD, Rocío MoróniD, Alba Rodríguez NogalesiD, Júlio GálveziD
Abstract
Coronavirus disease 2019 (COVID-19) is a respiratory illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that displays great variability in clinical phenotype. Many factors have been described to be correlated with its severity, and microbiota could play a key role in the infection, progression, and outcome of the disease. SARS-CoV-2 infection has been associated with nasopharyngeal and gut dysbiosis and higher abundance of opportunistic pathogens. To identify new prognostic markers for the disease, a multicenter prospective observational cohort study was carried out in COVID-19 patients divided into three cohorts based on symptomatology: mild (n=24), moderate (n=51), and severe/critical (n=31). Faecal and nasopharyngeal samples were taken, and the microbiota was analyzed. Linear discriminant analysis identified M. salivarium, P. dentalis, and H. parainfluenzae as biomarkers of severe COVID-19 in nasopharyngeal microbiota, while P. bivia and P. timonensis were defined in faecal microbiota. Additionally, a connection between faecal and nasopharyngeal microbiota was identified, with a significant ratio between P. timonensis (faeces) and P. dentalis and M. salivarium (nasopharyngeal) abundances found in critically ill patients. This ratio could serve as a novel prognostic tool for identifying severe COVID-19 cases.
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