ArticleFrontiers in immunology2023
Causal effects of the gut microbiome on COVID-19 susceptibility and severity: a two-sample Mendelian randomization study.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association Between Gut Microbiota and Pneumonia Risk: A Systematic Review and Mendelian Randomization.International journal of medical sciences · 2025Pooled it
- Association between circulating metabolites and endometriosis: a bidirectional two-sample Mendelian randomization study.Obstetrics & gynecology science · 2026Article
- Longitudinal multi-omic dynamics in hospitalized COVID-19 patients based on disease severity.Gut microbes reports · 2026Article
- Article
- Genetic insights into the gut microbiota, herpes zoster, and postherpetic neuralgia: a bidirectional two-sample Mendelian randomization study.Frontiers in genetics · 2024Article
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Authors and funding
11 authors.
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Abstract
Background: The coronavirus disease 2019 (COVID-19) caused a global pandemic, with potential severity. We aimed to investigate whether genetically predicted gut microbiome is associated with susceptibility and severity of COVID-19 risk. Methods: Mendelian randomization (MR) analysis of two sets with different significance thresholds was carried out to infer the causal relationship between the gut microbiome and COVID-19. SNPs associated with the composition of the gut microbiome (n = 5,717,754) and with COVID-19 susceptibility (n = 14,328,058), COVID-19 severity (n = 11,707,239), and COVID-19 hospitalization (n = 12,018,444) from publicly available genome-wide association studies (GWAS). The random-effect inverse variance weighted (IVW) method was used to determine causality. Three more MR techniques-MR Egger, weighted median, and weighted mode-and a thorough sensitivity analysis were also used to confirm the findings. Results: IVW showed that 18 known microbial taxa were causally associated with COVID-19. Among them, six microbial taxa were causally associated with COVID-19 susceptibility; seven microbial taxa were causally associated with COVID-19 severity ; five microbial taxa were causally associated with COVID-19 hospitalization. Sensitivity analyses showed no evidence of pleiotropy or heterogeneity. Then, the predicted 37 species of the gut microbiome deserve further study. Conclusion: This study found that some microbial taxa were protective factors or risky factors for COVID-19, which may provide helpful biomarkers for asymptomatic diagnosis and potential therapeutic targets for COVID-19.
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