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http://cibnor.repositorioinstitucional.mx/jspui/handle/1001/2946| Diversity, composition, and networking of saliva microbiota distinguish the severity of COVID-19 episodes as revealed by an analysis of 16S rRNA variable V1-V3 region sequences | |
| VIOLETA LARIOS SERRATO BEATRIZ MEZA MARQUEZ CAROLINA GONZALEZ TORRES FRANCISCO JAVIER GAYTAN CERVANTES JOAQUIN GONZALEZ IBARRA | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| DOI: 10.1128/msystems.01062-22 ISSN: 23795077 URL: https://journals.asm.org/doi/10.1128/msystems.01062-22 | |
| COVID-19, disease severity, microbial networks, microbiota, viral infections | |
| "Studies on the role of the oral microbiome in SARS-CoV-2 infection and severity of the disease are limited. We aimed to characterize the bacterial communities present in the saliva of patients with varied COVID-19 severity to learn if there are differences in the characteristics of the microbiome among the clinical groups. We included 31 asymptomatic subjects with no previous COVID-19 infection or vaccination; 176 patients with mild respiratory symptoms, positive or negative for SARS-CoV-2 infection; 57 patients that required hospitalization because of severe COVID-19 with oxygen saturation below 92%, and 18 fatal cases of COVID-19. Saliva samples collected before any treatment were tested for SARS-CoV-2 by PCR. Oral microbiota in saliva was studied by amplification and sequencing of the V1-V3 variable regions of 16S gene using an Illumina MiSeq platform. We found significant changes in diversity, composition, and networking in saliva microbiota of patients with COVID-19, as well as patterns associated with severity of disease. The presence or abundance of several commensal species and opportunistic pathogens were associated with each clinical stage. Patterns of networking were also found associated with severity of disease: a highly regulated bacterial community (normonetting) was found in healthy people whereas poorly regulated populations (disnetting) were characteristic of severe cases..." | |
| American Society for Microbiology | |
| 2023 | |
| Artículo | |
| mSystems | |
| Inglés | |
| arios Serrato, Violeta et al. “Diversity, composition, and networking of saliva microbiota distinguish the severity of COVID-19 episodes as revealed by an analysis of 16S rRNA variable V1-V3 region sequences.” mSystems vol. 8,4 (2023): e0106222. doi:10.1128/msystems.01062-22 | |
| VIROLOGÍA | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
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