Pregnant Women with Multiple Sclerosis: An Overview of Gene Expression and Molecular Interaction Using Bioinformatics Analysis.
Jazmin Marquez-PedrozaMartha Rocio Hernández-PreciadoEdgar Ricardo Valdivia-TangarifeFrancisco J Alvarez-PadillaMario Alberto Mireles-RamírezBlanca Miriam Torres-MendozaPublished in: International journal of molecular sciences (2024)
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.
Keyphrases
- multiple sclerosis
- gene expression
- bioinformatics analysis
- end stage renal disease
- pregnant women
- genome wide
- chronic kidney disease
- newly diagnosed
- mass spectrometry
- ejection fraction
- dna methylation
- ms ms
- signaling pathway
- prognostic factors
- white matter
- blood brain barrier
- pregnancy outcomes
- epithelial mesenchymal transition
- oxidative stress