Identification of Key Genes and Shared Metabolic Pathways in Multiple Sclerosis and Bipolar Disorder Using Systems Biology Approaches
سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 70
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شناسه ملی سند علمی:
IBIS12_119
تاریخ نمایه سازی: 12 آبان 1403
چکیده مقاله:
For many years, there have been controversial arguments regarding the genetic interplaybetween Multiple sclerosis (MS) and Bipolar Disorder (BD). MS is a prevalent autoimmune diseasecharacterized by the immune system targeting the myelin sheath; as a complex disease, bothenvironmental and genetic factors contribute to its development. BD is a complex mental health disease,is believed to stem from a combination of genetic and environmental influences. Noticeably, individualswith MS exhibit an elevated risk of bipolar spectrum disorders .This study focuses on unraveling the genetic interplay between MS and BD. We employed a combinedset of genes from both diseases and constructed the protein-protein interaction network to identify hubgenes and shared metabolic pathways Using the Cytohubba plugin, g:Profiler, and KEGG databases,we identified ۱۰ hub genes that are: TNF, IL۶, IL۱B, TLR۴, AKT۱, BCL۲, IFNG, APP, NFKB۱, andMTOR, all implicative in both MS and BD .Evaluation of metabolic pathways reveals that specific biological processes within gene ontology arecommon in both MS and BD. These included positive regulation of cell migration, regulation ofcalcidiol ۱-monooxygenase activity, regulation of the mitotic cell cycle, and ncRNA metabolicprocesses. Additionally, shared KEGG database pathways encompass Tuberculosis, HIF-۱ signalingpathway, AGE-RAGE signaling pathway in diabetic complications, and the Toll-like receptor signalingpathway .The results of this study have the potential to identify common drugs and collaborative treatments forpatients with MS and BD. Furthermore, the key genes identified can serve as biomarkers for futureresearch in MS and BD .
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نویسندگان
Shahang Shamshiri
Facility of Mathematics and Computer Science, Department of Bioinformatics, Bahonar University, Kerman, Iran- Bahonar Bioinformatics Lab (BBL)
Shahadeh Shamshiri
Facility of Mathematics and Computer Science, Department of Bioinformatics, Bahonar University, Kerman, Iran- Bahonar Bioinformatics Lab (BBL)
Ali Kazemipour
Facility of Mathematics and Computer Science, Department of Bioinformatics, Bahonar University, Kerman, Iran- Bahonar Bioinformatics Lab (BBL)