ArticleInflammation2025
Combined Bulk and Single-Cell Transcriptomic Analysis to Reveal the Potential Influences of Intestinal Inflammatory Disease on Multiple Sclerosis.
Article in Inflammation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Differential Roles of IL-18 and IL-8 Gene Variations in Multiple Sclerosis: Associations with Susceptibility and MRI Disease Activity.Journal of clinical medicine · 2026Article
- Review
- Article
- Bulk and Single-Cell Transcriptomic Reveals Shared Key Genes and Patterns of Immune Dysregulation in Both Intestinal Inflammatory Disease and Sepsis.Journal of cellular and molecular medicine · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 and IBD. However, the shared pathophysiological mechanisms between these two diseases are still lacking. RNA sequencing datasets (GSE126124, GSE9686, GSE36807, GSE21942) were analyzed to identify the shared differential expressed genes (DEGs) for IBD and experimental allergic encephalomyelitis (EAE). Other datasets (GSE17048, GSE75214, and GSE16879) were downloaded for further verification and analysis. Shared pathways and regulatory networks were explored based on these DEGs. The single-cell transcriptome of central nervous system (CNS) immune cells sequenced from EAE brains and the public datasets of IBD (PRJCA003980) were analyzed for the immune characteristics of the shared DEGs. Mass cytometry by time-of-flight (CyTOF) of peripheral blood mononuclear cells (PBMCs) was performed for the systematic immune response in the EAE model. Machine learning algorithms were also used to identify the diagnostic biomarkers of MS. We identified 74 common DEGs from the selected RNA sequencing datasets, and single-cell RNA data of the intestinal tissues of IBD patients showed that 56 of 74 DEGs were highly enriched in IL1B
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