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.
Authors
- Sikai Cheng
- Tao Chen (ORCID: https://orcid.org/0000-0001-9704-9545)
- Xuemei Li (ORCID: https://orcid.org/0000-0001-7781-8933)
- Huifang Zheng (ORCID: https://orcid.org/0000-0001-8990-2825)
- Tianyu Chang
- Guichun Bao
- Jun Ruan
- Wei Zhao
- Zijing Zhu
- Kunwen Zheng
Institutions
- 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)
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
- Field-Weighted Citation Impact
- 0.00