Causal affects of Nasal microbiota on COVID-19 phenotypes: A two-sample bidirectional Mendelian randomization study

<bold>Background:</bold> The nasal microbiome modulates the host immune response and influencing the susceptibility and severity of respiratory infections. However, the causal effects of nasal microbiota on COVID-19 phenotypes are unclear. <bold>Methods:</bold> We performed bidirectional Mendelian randomization using summary statistics from the 4D-SZ cohort’s nasal microbiome data and the latest COVID-19 host genetics initiative. We used the inverse-variance weighted as the primary method to estimate the causal effects and performed sensitivity analyses to assess the robustness of the results. <bold>Results:</bold> We found evidence of a causal effect of family Lactobacillaceae (odds ratio (OR), 1.028; 95% confidence interval (CI), 1.002–1.054; P = 0.035) and species Anaerococcus nagyae (OR, 1.046; 95% CI, 1.000–1.093; P = 0.048) on increasing the risk of COVID-19 susceptibility. Moreover, family Lactobacillaceae (OR, 1.044; 95% CI, 1.016–1.074; P = 0.002) also increased the risk of COVID-19 hospitalization. On the other hand, order Micrococcales (OR, 0.902; 95% CI, 0.825–0.986; P = 0.024) and genus Corynebacterium (OR, 0.691; 95% CI, 0.491–0.973; P = 0.034) decreased the risk of COVID-19 severity. We also detected reverse causation from several taxa to COVID-19 phenotypes, suggesting that COVID-19 infection may alter the nasal microbiota composition. <bold>Conclusions:</bold> This study provides novel insights into the potential causal relationship of nasal microbiome with COVID-19 phenotypes. Our findings may have implications for the prevention, diagnosis, and treatment of COVID-19. Further studies are needed to validate the causal effects and elucidate the underlying mechanisms.

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Publication Details

Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.oa5458
Primary Topic
Respiratory viral infections research
Type
article
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article

Causal affects of Nasal microbiota on COVID-19 phenotypes: A two-sample bidirectional Mendelian randomization study

Jinwei Jia, Dongjin Wan, Pu Wang, Yanmei Feng et al.
Respiratory viral infections research
article

Causal affects of Nasal microbiota on COVID-19 phenotypes: A two-sample bidirectional Mendelian randomization study

Jinwei Jia, Dongjin Wan, Pu Wang, Yanmei Feng, Xiaomin Liu, Rui Guo
article en

Abstract

<bold>Background:</bold> The nasal microbiome modulates the host immune response and influencing the susceptibility and severity of respiratory infections. However, the causal effects of nasal microbiota on COVID-19 phenotypes are unclear. <bold>Methods:</bold> We performed bidirectional Mendelian randomization using summary statistics from the 4D-SZ cohort’s nasal microbiome data and the latest COVID-19 host genetics initiative. We used the inverse-variance weighted as the primary method to estimate the causal effects and performed sensitivity analyses to assess the robustness of the results. <bold>Results:</bold> We found evidence of a causal effect of family Lactobacillaceae (odds ratio (OR), 1.028; 95% confidence interval (CI), 1.002–1.054; P = 0.035) and species Anaerococcus nagyae (OR, 1.046; 95% CI, 1.000–1.093; P = 0.048) on increasing the risk of COVID-19 susceptibility. Moreover, family Lactobacillaceae (OR, 1.044; 95% CI, 1.016–1.074; P = 0.002) also increased the risk of COVID-19 hospitalization. On the other hand, order Micrococcales (OR, 0.902; 95% CI, 0.825–0.986; P = 0.024) and genus Corynebacterium (OR, 0.691; 95% CI, 0.491–0.973; P = 0.034) decreased the risk of COVID-19 severity. We also detected reverse causation from several taxa to COVID-19 phenotypes, suggesting that COVID-19 infection may alter the nasal microbiota composition. <bold>Conclusions:</bold> This study provides novel insights into the potential causal relationship of nasal microbiome with COVID-19 phenotypes. Our findings may have implications for the prevention, diagnosis, and treatment of COVID-19. Further studies are needed to validate the causal effects and elucidate the underlying mechanisms.

BGI Group (China) (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Chongqing Emergency Medical Center (CN), Chongqing Medical University (CN)
Zero hunger
Openalex Percentile: Top 70%
Respiratory viral infections research
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