Bacterial microbiota in upper respiratory tract of COVID-19 and influenza patients.
Somruthai RattanaburiVorthon SawaswongSuwalak ChitcharoenPavaret SivapornnukulPattaraporn NimsamerNungruthai SuntronwongJiratchaya PuenpaYong PoovorawanSunchai PayungpornPublished in: Experimental biology and medicine (Maywood, N.J.) (2021)
The upper respiratory tract is inhabited by diverse range of commensal microbiota which plays a role in protecting the mucosal surface from pathogens. Alterations of the bacterial community from respiratory viral infections could increase the susceptibility to secondary infections and disease severities. We compared the upper respiratory bacterial profiles among Thai patients with influenza or COVID-19 by using 16S rDNA high-throughput sequencing based on MiSeq platform. The Chao1 richness was not significantly different among groups, whereas the Shannon diversity of Flu A and Flu B groups were significantly lower than Non-Flu & COVID-19 group. The beta diversity revealed that the microbial communities of influenza (Flu A and Flu B), COVID-19, and Non-Flu & COVID-19 were significantly different; however, the comparison of the community structure was similar between Flu A and Flu B groups. The bacterial classification revealed that Enterobacteriaceae was predominant in influenza patients, while Staphylococcus and Pseudomonas were significantly enriched in the COVID-19 patients. These implied that respiratory viral infections might be related to alteration of upper respiratory bacterial community and susceptibility to secondary bacterial infections. Moreover, the bacteria that observed in Non-Flu & COVID-19 patients had high abundance of Streptococcus, Prevotella, Veillonella, and Fusobacterium. This study provides the basic knowledge for further investigation of the relationship between upper respiratory microbiota and respiratory disease which might be useful for better understanding the mechanism of viral infectious diseases.
Keyphrases
- sars cov
- respiratory tract
- coronavirus disease
- end stage renal disease
- respiratory syndrome coronavirus
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- healthcare
- prognostic factors
- machine learning
- patient reported outcomes
- pseudomonas aeruginosa
- multidrug resistant
- deep learning
- candida albicans
- microbial community
- antimicrobial resistance
- antibiotic resistance genes