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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
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COVID-19 severity is associated with population-level gut microbiome variations
Eva Lymberopoulos1,2, Giorgia Isabella Gentili1, Sanjay Budhdeo1,3,4
1The Sharma Lab, Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, England.
Frontiers in Cellular and Infection Microbiology
|September 9, 2022
Summary
Population-level gut microbiome signatures are linked to COVID-19 severity. Anti-inflammatory bacteria like Bifidobacteria were associated with lower severity, while pro-inflammatory Prevotella copri indicated higher COVID-19 severity.
Area of Science:
- Microbiome research
- Infectious disease epidemiology
- Computational biology
Background:
- The human gut microbiome plays a role in various diseases.
- Previous small studies suggest a link between gut microbiota and COVID-19 severity.
- Population-level analysis can offer new insights into global health disparities in COVID-19.
Purpose of the Study:
- To investigate the association between population-level gut microbiome composition and COVID-19 severity (hospitalization rates) across different countries.
- To identify specific bacterial signatures correlating with varying levels of COVID-19 severity.
- To explore the utility of Topological Data Analysis (TDA) for microbiome research.
Main Methods:
- Utilized data from the curatedMetagenomicData repository (n=3,055) and country-level metadata.
- Classified 12 countries into high/low COVID-19 hospitalization rate groups.
- Applied unsupervised machine learning, specifically Topological Data Analysis (TDA), alongside PERMANOVA for statistical analysis.
Main Results:
- Identified distinct population-level gut microbiome signatures associated with COVID-19 severity.
- Found an association between anti-inflammatory bacteria (e.g., Bifidobacteria, Eubacterium rectale) and lower COVID-19 hospitalization rates.
- Observed a correlation between pro-inflammatory bacteria (e.g., Prevotella copri) and higher COVID-19 hospitalization rates.
- Highlighted the significant impact of country-level factors like age demographics, GDP, and Human Development Index.
Conclusions:
- Population-level gut microbiome composition is associated with COVID-19 severity.
- Specific bacterial species may influence disease outcomes, suggesting potential therapeutic targets.
- Topological Data Analysis (TDA) is a valuable tool for uncovering complex associations in microbiome data.
- Further research, including interventional studies, is needed to establish causality and explore other contributing factors.
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