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Shanlin Ke, PhD

Pronouns

He/Him/His

Job Title

Research Fellow

Academic Rank

Research Fellow

Department

Medicine

Authors

Shanlin Ke, Scott T. Weiss & Yang-Yu Liu

Principal Investigator

Yang-Yu Liu

Research Category: COVID-19

Tags

Human Microbiome and COVID-19

Scientific Abstract

Coronavirus disease 2019 (COVID-19), primarily a respiratory disease caused by infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV- 2), is often accompanied by gastrointestinal symptoms. However, little is known about the relation between the human microbiome and COVID-19, largely due to the fact that most previous studies fail to provide high taxonomic resolution to identify microbes that likely interact with SARS-CoV-2 infection. Here we used whole-metagenome shotgun sequencing data together with assembly and binning strategies to reconstruct metagenome-assembled genomes (MAGs) from 514 COVID-19 related nasopharyngeal and fecal samples in six independent cohorts. We reconstructed a total of 11,584 medium-and high-quality microbial MAGs and obtained 5403 non-redundant MAGs (nrMAGs) with strain-level resolution. We found that there is a significant reduction of strain richness for many species in the gut microbiome of COVID-19 patients. The gut microbiome signatures can accurately distinguish COVID-19 cases from healthy controls and predict the progression of COVID-19. Moreover, we identified a set of nrMAGs with a putative causal role in the clinical manifestations of COVID-19 and revealed their functional pathways that potentially interact with SARS-CoV-2 infection. Finally, we demonstrated that the main findings of our study can be largely validated in three independent cohorts. The presented results highlight the importance of incorporating the human gut microbiome in our under- standing of SARS-CoV-2 infection and disease progression.

Lay Abstract

The ongoing pandemic of coronavirus disease 2019 (COVID-19), a respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected billions of people worldwide. The prolonged presence of large amounts of fecal SARS-CoV-2 RNA virus is unlikely to be explained by the swallowing of virus particles replicated in the throat but rather suggests enteric infection with SARS-CoV-2. However, most current studies on the human microbiome and COVID-19 studies are subject to the limitations and biases of reference databases and unable to characterize unknown microbes and known microbes with high resolution. We employed metagenome assembly and binning strategies to reconstruct microbial population genomes directly from microbiome samples of COVID-19 patients and controls. We recovered a large genome catalog representing 5,403 strain level MAGs of the human microbiome. We found for the first time that COVID-19 patients lost many strains for certain microbial species when compared to Non-COVID-19 controls. Using machine learning models, we demonstrated that the gut microbiome signatures can accurately distinguish COVID-19 cases from healthy controls and predict the progression of COVID-19. Moreover, we identified a set of strains with a putative causal role in the clinical manifestations of COVID-19 and revealed their functional pathways that potentially interact with SARS-CoV-2 infection. Finally, the main findings of our study can be largely validated in three independent cohorts.

Clinical Implications

These insights into metagenomic strain-level aspects of relationships in the human microbiome and COVID-19. The identified COVID-19 related protective and permissive strains and their genome content may aid in the rational design of microbiome-based therapies for the treatment of COVID-19.