Single-Cell and Mendelian Randomization Analyses Identify Key Genes Common to COVID-19 and Multiple Sclerosis

The pathophysiology of multiple sclerosis (MS) bears notable similarities to the dysregulated inflammatory response occurring during coronavirus disease 2019 (COVID-19) infection. B cells play a pivotal role among immune cells in the pathogenesis of both these diseases. Consequently, clarifying the molecular mechanism underlying B cell function in COVID-19 and MS is of great significance for formulating more efficient treatment strategies. A comprehensive analysis integrating single-cell RNA sequencing (scRNA-seq), genome-wide association study, and expression quantitative trait locus data from patients with COVID-19 and MS was performed. Gene set enrichment analysis revealed pathways and functional roles associated with the key genes, while pseudotime analysis tracked their expression patterns across different B cell developmental trajectories. The results of scRNA-seq analysis showed that, in comparison with the healthy control group, the proportion of B cells rose in patients with COVID-19 and those with MS. Through differential expression analysis and Mendelian randomization analysis, <i>DR1</i>, <i>IKZF3</i>, and <i>RUVBL2</i> were identified as risk factors for both COVID-19 and MS, whereas <i>ANAPC5</i> was characterized as a protective factor against these two conditions. The findings of the pseudotime analysis indicated that only <i>IKZF3</i> had differential expression across different branches of B cells. <i>IKZF3</i>'s role in promoting immune inflammation and inhibiting metabolism could potentially be linked to the onset and comorbidity of COVID-19 and MS. This emphasizes not only the possible interaction mechanisms between these two diseases but also their clinical significance.

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Publication Details

Journal
Viral Immunology
Published
2026-03-17
DOI
https://doi.org/10.1177/08828245261426986
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Single-Cell and Mendelian Randomization Analyses Identify Key Genes Common to COVID-19 and Multiple Sclerosis

Sikai Cheng, Tao Chen, Xuemei Li, Huifang Zheng et al.
Viral Immunology
Single-cell and spatial transcriptomics
article

Single-Cell and Mendelian Randomization Analyses Identify Key Genes Common to COVID-19 and Multiple Sclerosis

Sikai Cheng, Tao Chen, Xuemei Li, Huifang Zheng, Tianyu Chang, Guichun Bao, Jun Ruan, Wei Zhao, Zijing Zhu, Kunwen Zheng
article en

Abstract

The pathophysiology of multiple sclerosis (MS) bears notable similarities to the dysregulated inflammatory response occurring during coronavirus disease 2019 (COVID-19) infection. B cells play a pivotal role among immune cells in the pathogenesis of both these diseases. Consequently, clarifying the molecular mechanism underlying B cell function in COVID-19 and MS is of great significance for formulating more efficient treatment strategies. A comprehensive analysis integrating single-cell RNA sequencing (scRNA-seq), genome-wide association study, and expression quantitative trait locus data from patients with COVID-19 and MS was performed. Gene set enrichment analysis revealed pathways and functional roles associated with the key genes, while pseudotime analysis tracked their expression patterns across different B cell developmental trajectories. The results of scRNA-seq analysis showed that, in comparison with the healthy control group, the proportion of B cells rose in patients with COVID-19 and those with MS. Through differential expression analysis and Mendelian randomization analysis, <i>DR1</i>, <i>IKZF3</i>, and <i>RUVBL2</i> were identified as risk factors for both COVID-19 and MS, whereas <i>ANAPC5</i> was characterized as a protective factor against these two conditions. The findings of the pseudotime analysis indicated that only <i>IKZF3</i> had differential expression across different branches of B cells. <i>IKZF3</i>'s role in promoting immune inflammation and inhibiting metabolism could potentially be linked to the onset and comorbidity of COVID-19 and MS. This emphasizes not only the possible interaction mechanisms between these two diseases but also their clinical significance.

Viral Immunology
Kunming University of Science and Technology (CN), Kunming Medical University (CN), First People's Hospital of Yunnan Province (CN), Kunming Third People's Hospital (CN), Qujing Normal University (CN), The First Hospital of Kunming (CN), First Affiliated Hospital of Kunming Medical University (CN), McMaster University (CA)
Good health and well-being
Openalex Percentile: Top 19%
Single-cell and spatial transcriptomics
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