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Pregnant Women with Multiple Sclerosis: An Overview of Gene Expression and Molecular Interaction Using Bioinformatics
Jazmin Marquez-Pedroza1, Martha Rocio Hernández-Preciado2, Edgar Ricardo Valdivia-Tangarife3
1Neurosciences Division, Western Biomedical Research Center, Mexican Institute of Social Security, Guadalajara 44340, Mexico.
International Journal of Molecular Sciences
|June 27, 2024
Summary
Pregnancy may alter multiple sclerosis (MS) by affecting gene expression in the central nervous system (CNS). This study analyzed gene patterns and interactions to reveal biological mechanisms in women with MS during pregnancy.
Area of Science:
- Neurology
- Genetics
- Bioinformatics
Background:
- Multiple sclerosis (MS) is a CNS demyelinating disease common in women of reproductive age.
- Pregnancy's impact on MS course is not fully understood, necessitating research into associated gene expression.
- Understanding genetic factors during pregnancy is key to elucidating MS pathogenesis and progression.
Purpose of the Study:
- To review gene expression patterns in women with MS during pregnancy.
- To identify key genes and signaling pathways involved in MS during pregnancy using bioinformatics.
- To explore the molecular mechanisms underlying pregnancy's effect on MS.
Main Methods:
- Systematic review of evidence-based studies on gene expression in pregnant MS patients.
- Bioinformatic analysis using tools like STRING and KEGG pathways.
- Construction of gene interaction networks to identify molecular pathways.
Main Results:
- Identification of 25 specific genes associated with MS during pregnancy.
- Discovery of 21 significant signaling pathways implicated in the disease.
- Construction of interaction networks revealing molecular relationships.
Conclusions:
- Bioinformatics analysis provides insights into the genetic and biological phenomena of MS in pregnant patients.
- The identified genes and pathways offer a foundation for further research into MS during pregnancy.
- This study opens new avenues for understanding and potentially managing MS in this demographic.
