Nasopharyngeal Microbiota as an early severity biomarker in COVID-19 hospitalised patients: a retrospective cohort study in a Mediterranean area

biorxiv(2021)

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摘要
Background There is mounting evidence suggesting that the microbiome composition could be different in COVID-19 patients. However, the relationship between microbiota and COVID-19 severity progression is still being assessed. This study aimed to analyse the diversity and taxonomic composition of the nasopharyngeal microbiota, to determine its association with COVID-19 clinical outcome. Methods and Findings Samples came from a retrospective cohort of adult patients with COVID-19, hospitalised in a tertiary centre. To study the nasopharyngeal microbiota, we utilized 16S rRNA sequencing. Raw sequences were processed by QIIME2. The associations between the microbiota, invasive mechanical ventilation (IMV), and all-cause mortality were analysed by multiple logistic regression (OR; 95%CI), adjusted for age, gender, and comorbidity. 177 patients were included: median age 68.0 years, 57.6% males, 59.3% had a Charlson comorbidity index ≥3, and 89.2% with pneumonia. The microbiota α diversity indexes were lower in patients with a fatal outcome, and this association persisted after adjustment for the main confounders; whereas the β diversity analysis showed a significant clustering, grouping the patients with a fatal outcome. After multivariate adjustment, the presence of Selenomonas spp ., Filifactor spp ., Actinobacillus spp ., or Chroococcidiopsis spp ., was associated with a reduced risk of IMV (adjusted OR 0.06[95%CI 0.01–0.0.47], p = 0.007). Conclusions The microbiota diversity and taxonomic composition are related to COVID-19 severity. Higher diversity and the presence of certain genera in the nasopharyngeal microbiota seem to be early biomarkers of a favourable clinical evolution in hospitalised patients with moderate to severe SARS-CoV-2 infections. ### Competing Interest Statement The authors have declared no competing interest.
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关键词
Microbiota, COVID-19, SARS-COV-2, Severity, Biomarker, Prognosis
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