The Journal of allergy and clinical immunology · 2021
SARS-CoV-2 infection and viral load are associated with the upper respiratory tract microbiome.
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Rosas-Salazar Christian, Kimura Kyle S, Shilts Meghan H, Strickland Britton A, Freeman Michael H, Wessinger Bronson C, Gupta Veerain, Brown Hunter M, Rajagopala Seesandra V, Turner Justin H, Das Suman R
Аннотация
BACKGROUND: Little is known about the relationships between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the respiratory virus responsible for the ongoing coronavirus disease 2019 (COVID-19) pandemic, and the upper respiratory tract (URT) microbiome.
OBJECTIVE: We sought to compare the URT microbiome between SARS-CoV-2-infected and -uninfected adults and to examine the association of SARS-CoV-2 viral load with the URT microbiome during COVID-19.
METHODS: We characterized the URT microbiome using 16S ribosomal RNA sequencing in 59 adults (38 with confirmed, symptomatic, mild to moderate COVID-19 and 21 asymptomatic, uninfected controls). In those with COVID-19, we measured SARS-CoV-2 viral load using quantitative reverse transcription PCR. We then examined the association of SARS-CoV-2 infection status and its viral load with the ⍺-diversity, β-diversity, and abundance of bacterial taxa of the URT microbiome. Our main models were all adjusted for age and sex.
RESULTS: The observed species index was significantly higher in SARS-CoV-2-infected than in -uninfected adults (β linear regression coefficient = 7.53; 95% CI, 0.17-14.89; P = .045). In differential abundance testing, 9 amplicon sequence variants were significantly different in both of our comparisons, with Peptoniphilus lacrimalis, Campylobacter hominis, Prevotella 9 copri, and an Anaerococcus unclassified amplicon sequence variant being more abundant in those with SARS-CoV-2 infection and in those with high viral load during COVID-19, whereas Corynebacterium unclassified, Staphylococcus haemolyticus, Prevotella disiens, and 2 Corynebacterium_1 unclassified amplicon sequence variants were more abundant in those without SARS-CoV-2 infection and in those with low viral load during COVID-19.
CONCLUSIONS: Our findings suggest complex associations between SARS-CoV-2 and the URT microbiome in adults. Future studies are needed to examine how these viral-bacterial interactions can impact the clinical progression, severity, and recovery of COVID-19.
OBJECTIVE: We sought to compare the URT microbiome between SARS-CoV-2-infected and -uninfected adults and to examine the association of SARS-CoV-2 viral load with the URT microbiome during COVID-19.
METHODS: We characterized the URT microbiome using 16S ribosomal RNA sequencing in 59 adults (38 with confirmed, symptomatic, mild to moderate COVID-19 and 21 asymptomatic, uninfected controls). In those with COVID-19, we measured SARS-CoV-2 viral load using quantitative reverse transcription PCR. We then examined the association of SARS-CoV-2 infection status and its viral load with the ⍺-diversity, β-diversity, and abundance of bacterial taxa of the URT microbiome. Our main models were all adjusted for age and sex.
RESULTS: The observed species index was significantly higher in SARS-CoV-2-infected than in -uninfected adults (β linear regression coefficient = 7.53; 95% CI, 0.17-14.89; P = .045). In differential abundance testing, 9 amplicon sequence variants were significantly different in both of our comparisons, with Peptoniphilus lacrimalis, Campylobacter hominis, Prevotella 9 copri, and an Anaerococcus unclassified amplicon sequence variant being more abundant in those with SARS-CoV-2 infection and in those with high viral load during COVID-19, whereas Corynebacterium unclassified, Staphylococcus haemolyticus, Prevotella disiens, and 2 Corynebacterium_1 unclassified amplicon sequence variants were more abundant in those without SARS-CoV-2 infection and in those with low viral load during COVID-19.
CONCLUSIONS: Our findings suggest complex associations between SARS-CoV-2 and the URT microbiome in adults. Future studies are needed to examine how these viral-bacterial interactions can impact the clinical progression, severity, and recovery of COVID-19.