ArticleOxidative medicine and cellular longevity2022
Identification of Novel Key Genes and Pathways in Multiple Sclerosis Based on Weighted Gene Coexpression Network Analysis and Long Noncoding RNA-Associated Competing Endogenous RNA Network.
Article in Oxidative medicine and cellular longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Recent Advances in Metabolomics and Lipidomics Studies in Human and Animal Models of Multiple Sclerosis.Metabolites · 2024Review
- Initial Evaluation of lncRNA A2M-AS1 Gene Expression in Multiple Sclerosis Patients.Advanced biomedical research · 2024Article
- Neuronal nitric oxide synthase/reactive oxygen species pathway is involved in apoptosis and pyroptosis in epilepsy.Neural regeneration research · 2023Article
- Non-coding RNAs in immunoregulation and autoimmunity: Technological advances and critical limitations.Journal of autoimmunity · 2023Review
- Novel regulatory role of non-coding RNAs in ankylosing spondylitis.Frontiers in immunology · 2023Review
- Identification of potential regulatory long non-coding RNA-associated competing endogenous RNA axes in periplaque regions in multiple sclerosis.Frontiers in genetics · 2022Article
- Exploring the Role of MicroRNAs and Associated Proteins in Multiple Sclerosis.Basic and clinical neuroscienceArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Multiple sclerosis (MS) is an autoimmune disease of the central nervous system characterized by chronic inflammation and demyelination. This study is aimed at identifying crucial genes and molecular pathways involved in MS pathogenesis. Methods: Raw data in GSE52139 were collected from the Gene Expression Omnibus. The top 50% expression variants were subjected to weighted gene coexpression network analysis (WGCNA), and the key module associated with MS occurrence was identified. A long noncoding RNA- (lncRNA-) associated competing endogenous RNA (ceRNA) network was constructed in the key module. The hub gene candidates were subsequently verified in an individual database. Results: Of the 18 modules obtained, the cyan module was designated as the key module. The established ceRNA network was composed of seven lncRNAs, 45 mRNAs, and 21 microRNAs (miRNAs), and the Conclusions: Combined with the WGCNA and ceRNA network, our findings provide novel insights into the pathogenesis of MS. The hub genes discovered herein might also serve as novel biomarkers that correlate with the development and management of MS.
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