Exploring genetic and immune cell dynamics in systemic lupus erythematosus patients with Epstein-Barr virus infection via machine learning.

Journal: Rheumatology (Oxford, England)

PMID: 39361430

Abstract

OBJECTIVES: EBV is a widespread virus implicated in various diseases, including SLE. However, the specific genes and pathways altered in SLE patients with EBV infection remain unclear. We aimed to identify key genes and immune cells in SLE patients with EBV infection.

Authors

Jiajun Gui

Department of Rheumatology and Immunology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Mengyuan Fang

Department of Rheumatology and Immunology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Jianxin Tu

Department of Rheumatology and Immunology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xiaowei Chen

School of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Li Sun

Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Keywords

Epstein-Barr Virus Infections Female Gene Expression Profiling Herpesvirus 4, Human Humans Lupus Erythematosus, Systemic Machine Learning Membrane Proteins

External Resources

View on PubMed Access via DOI PubMed (39361430)

Exploring genetic and immune cell dynamics in systemic lupus erythematosus patients with Epstein-Barr virus infection via machine learning.

Abstract

Authors

Keywords

External Resources

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