Airway and Oral microbiome profiling of SARS-CoV-2 infected asthma and non-asthma cases revealing alterations-A pulmonary microbial investigation.

Autor: Sekaran K; Vellore Institute of Technology, School of Biosciences and Technology, Vellore, India., Varghese RP; Vellore Institute of Technology, School of Biosciences and Technology, Vellore, India., Doss C GP; Vellore Institute of Technology, School of Biosciences and Technology, Vellore, India., Alsamman AM; Department of Genome Mapping, Molecular Genetics and Genome Mapping Laboratory, Agricultural Genetic Engineering Research Institute, Giza, Egypt., Zayed H; Department of Biomedical Sciences College of Health Sciences, QU Health, Qatar University, Doha, Qatar., El Allali A; African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2023 Aug 17; Vol. 18 (8), pp. e0289891. Date of Electronic Publication: 2023 Aug 17 (Print Publication: 2023).
DOI: 10.1371/journal.pone.0289891
Abstrakt: New evidence strongly discloses the pathogenesis of host-associated microbiomes in respiratory diseases. The microbiome dysbiosis modulates the lung's behavior and deteriorates the respiratory system's effective functioning. Several exogenous and environmental factors influence the development of asthma and chronic lung disease. The relationship between asthma and microbes is reasonably understood and yet to be investigated for more substantiation. The comorbidities such as SARS-CoV-2 further exacerbate the health condition of the asthma-affected individuals. This study examines the raw 16S rRNA sequencing data collected from the saliva and nasopharyngeal regions of pre-existing asthma (23) and non-asthma patients (82) infected by SARS-CoV-2 acquired from the public database. The experiment is designed in a two-fold pattern, analyzing the associativity between the samples collected from the saliva and nasopharyngeal regions. Later, investigates the microbial pathogenesis, its role in exacerbations of respiratory disease, and deciphering the diagnostic biomarkers of the target condition. LEfSE analysis identified that Actinobacteriota and Pseudomonadota are enriched in the SARS-CoV-2-non-asthma group and SARS-CoV-2 asthma group of the salivary microbiome, respectively. Random forest algorithm is trained with amplicon sequence variants (ASVs) attained better classification accuracy, ROC scores on nasal (84% and 87%) and saliva datasets (93% and 97.5%). Rothia mucilaginosa is less abundant, and Corynebacterium tuberculostearicum showed higher abundance in the SARS-CoV-2 asthma group. The increase in Streptococcus at the genus level in the SARS-CoV-2-asthma group is evidence of discriminating the subgroups.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2023 Sekaran et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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