
Inflammation, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 16, 2024
Multiple sclerosis (MS) and inflammatory bowel disease (IBD) are both autoimmune disorders caused by dysregulated immune responses. Still, there is a growing awareness of the comorbidity between MS IBD. However, shared pathophysiological mechanisms these two diseases still lacking. RNA sequencing datasets (GSE126124, GSE9686, GSE36807, GSE21942) were analyzed to identify differential expressed genes (DEGs) for IBD experimental allergic encephalomyelitis (EAE). Other (GSE17048, GSE75214, GSE16879) downloaded further verification analysis. Shared pathways regulatory networks explored based on DEGs. The single-cell transcriptome central nervous system (CNS) cells sequenced from EAE brains public (PRJCA003980) characteristics Mass cytometry time-of-flight (CyTOF) peripheral blood mononuclear (PBMCs) was performed systematic response in model. Machine learning algorithms also used diagnostic biomarkers MS. We identified 74 common DEGs selected datasets, data intestinal tissues patients showed that 56 highly enriched IL1B+ macrophages. These DEGs, defined as inflammation-related (IRGs), pro-inflammatory macrophages mice patients. abundance CD14+ monocytes validated CyTOF data. IRGs response, NOD-like receptor signaling pathway, IL-18 other related pathways. In addition, 'AddModuleScore_UCell' analysis (such IL1B, S100A8, factors) mainly macrophages, which play an essential role activation multiple sclerosis, such IL-17 NF-kappa B TNF pathway. Finally, suppressors cytokine 3(SOCS3) formyl peptide 2(FPR2) potential machine learning. Two compared control, experiments revealed SOCS3 FPR2 samples. IRGs, encode cytokines, exhibit high expression levels may significant storm biomarkers, FPR2, screened out with great value
Language: Английский