ArticleFrontiers in immunology2025
Identification of the microglia-associated signature in experimental autoimmune encephalomyelitis.
Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Oxidative-Stress-Associated Molecular Signatures in Immune-Mediated Diseases: A Systematic Review Integrating Machine Learning and Systems Biology Approaches.Antioxidants (Basel, Switzerland) · 2026Review
- Multi-omics-driven biomarker discovery in autoimmune diseases: a comprehensive review.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Multiple sclerosis (MS) is a chronic neuroinflammatory disorder characterized by demyelination and immune dysregulation, and microglia play a central role in disease progression. Despite this, the specific microglial gene signatures contributing to MS remain inadequately characterized. Methods: We utilized an experimental autoimmune encephalomyelitis (EAE) mouse model and performed RNA sequencing to identify differentially expressed Messenger RNAs (DEmRNAs), Long Non-Coding RNAs (DElncRNAs), Circular RNAs (DEcircRNAs), and microRNAs (DEmiRNAs) in microglia. A machine learning approach incorporating five distinct algorithms was applied to select a robust multigene signature. The biological functions of the included genes were assessed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses and validated by quantitative reverse transcription PCR (qRT-PCR). Additionally, molecular docking studies were conducted to explore potential interactions with approved MS therapeutics. Results: Six DEmRNAs were identified as key microglia-associated biomarkers: Neutrophilic Granule Protein ( Conclusions: This study provides a comprehensive microglial gene signature for EAE, highlighting the involvement of TLR pathways and circRNA-mediated regulation in MS pathogenesis. These findings provide a foundation for future research into microglia-targeted therapies and diagnostic tools for MS.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.