Pregnant Women with Multiple Sclerosis: An Overview of Gene Expression and Molecular Interaction Using Bioinformatics Analysis

TL;DR

This paper reviews how gene expression and molecular interactions in pregnant women with multiple sclerosis may influence the disease's progression.

Contribution

The study identifies 25 genes and 21 signaling pathways related to MS during pregnancy using bioinformatics tools.

Findings

Bioinformatics analysis identified 25 genes associated with MS during pregnancy.

21 signaling pathways were found to be involved in the molecular interactions of MS during pregnancy.

STRING and KEGG pathway tools were used to construct interaction networks for these genes.

Abstract

Multiple sclerosis (MS) is a common disease in young women of reproductive age, characterized by demyelination of the central nervous system (CNS). Understanding how genes related to MS are expressed during pregnancy can provide insights into the potential mechanisms by which pregnancy affects the course of this disease. This review article presents evidence-based studies on these patients’ gene expression patterns. In addition, it constructs interaction networks using bioinformatics tools, such as STRING and KEGG pathways, to understand the molecular role of each of these genes. Bioinformatics research identified 25 genes and 21 signaling pathways, which allows us to understand pregnancy patients’ genetic and biological phenomena and formulate new questions about MS during pregnancy.

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