The relationship between gut and nasopharyngeal microbiome composition can predict the severity of COVID-19

Author:

Martin-Castaño Benita12,Diez-Echave Patricia23,García-García Jorge3,Hidalgo-García Laura23,Ruiz-Malagon Antonio Jesús23,Molina-Tijeras José Alberto23,Rodríguez-Sojo María Jesús23,Redruello-Romero Anaïs2,Martínez-Zaldívar Margarita24,Mota Emilio4,Cobo Fernando5,Díaz-Villamarin Xando2,Fernández-Varón Emilio23,Alvarez-Estevez Marta267,García Federico267,Morales-García Concepción8,Merlos Silvia8,García-Flores Paula8,Colmenero-Ruiz Manuel29,Ruiz-Sancho Andrés210,Nuñez María21112,Rodríguez-Cabezas María Elena23,Carazo Ángel26,Martín Javier13,Morón Rocío211,Rodríguez-Nogales Alba23ORCID,Galvez Julio2314

Affiliation:

1. Centro de Salud Las Gabias, Distrito Granada-Metropolitano

2. Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA)

3. Department of Pharmacology, Center for Biomedical Research (CIBM), University of Granada

4. Centro de Salud “Salvador Caballero”, Distrito Granada-Metropolitano

5. Servicio Microbiología, Hospital Universitario Virgen de las Nieves

6. Servicio Microbiología, Hospital Universitario Clínico San Cecilio

7. CIBER de Enfermedades Infecciosas (CIBER-Infecc), Instituto de Salud Carlos III

8. Respiratory Medicine Department, Hospital Universitario Virgen de las Nieves

9. Servicio de Medicina Intensiva, Hospital Universitario Clínico San Cecilio

10. Servicio de Enfermedades Infecciosas, Hospital Universitario Clínico San Cecilio

11. Servicio Farmacia Hospitalaria, Hospital Universitario Clínico San Cecilio

12. CIBER de Epidemiología y Salud Pública (CIBER-ESP), Instituto de Salud Carlos III

13. Department of Cell Biology and Immunology, Institute of Parasitology and Biomedicine López-Neyra

14. CIBER de Enfermedades Hepáticas y Digestivas (CIBER-EHD), Instituto de Salud Carlos III

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 but no specific determinants of infection outcome have been identified yet, maybe due the complex pathogenic mechanisms. The microbiota could play a key role in the infection and in the progression and outcome of the disease. Hence, 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 that were divided in three cohorts according to their symptomatology: mild (n=24), moderate (n=51) and severe/critical (n=31). Faecal and nasopharyngeal samples were taken and the microbiota was analysed.Microbiota composition could be associated with the severity of the symptoms and the linear discriminant analysis identified the genera Mycoplasma and Prevotella as severity biomarkers in nasopharyngeal samples, and Allistipes , Enterococcus and Escherichia in faecal samples. Moreover, M. salivarium was defined as a unique microorganism in COVID-19 patients’ nasopharyngeal microbiota while P. bivia and P. timonensis were defined in faecal microbiota. A connection between faecal and nasopharyngeal microbiota in COVID-19 patients was also identified as a strong positive correlation between P. timonensis (faeces) towards P. dentalis and M. salivarium (nasopharyngeal) was found in critically ill patients.This ratio could be used as a novel prognostic biomarker for severe COVID-19 patients.

Publisher

eLife Sciences Publications, Ltd

Reference92 articles.

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