Dataset Information

Identification of ferroptosis-related gene signatures associated with multiple sclerosis using weighted gene co-expression network analysis.

ABSTRACT: Multiple sclerosis (MS) is a chronic inflammatory disease of central nervous system leading to demyelination followed by neurological symptoms. Ferroptosis is a newly discovered pathogenic hallmark important for the progression of MS. However, the gene markers of ferroptosis in MS are still uncertain. In this study, mRNA expression profiles and clinical data of MS samples were retrieved from Gene Expression Omnibus database. Weighted gene co-expression network analysis and receiver operating characteristic curve analysis were utilized to identify ferroptosis-related gene (FRG) signatures of MS. Gene set enrichment analysis and gene set variation analysis were performed to explore the biological functions of single FRG signature. HMOX1, LPCAT3 and RPL8 were firstly identified as FRG signatures of MS with the predictive capacity confirmed. Gene set enrichment analysis and gene set variation analyses revealed that metabolism-related, immune and inflammation-related, microglia-related, oxidation-related, and mitochondria-related biological functions were enriched, providing implications of the mechanisms underlying ferroptosis in MS. This study presented a systematic analysis of FRG in MS and explored the potential ferroptosis targets for new interventional strategies in MS.

SUBMITTER: Gu SC

PROVIDER: S-EPMC9794287 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Identification of ferroptosis-related gene signatures associated with multiple sclerosis using weighted gene co-expression network analysis.

Gu Si-Chun SC Yuan Can-Xing CX Gu Chao C

Medicine 20221201 51

Multiple sclerosis (MS) is a chronic inflammatory disease of central nervous system leading to demyelination followed by neurological symptoms. Ferroptosis is a newly discovered pathogenic hallmark important for the progression of MS. However, the gene markers of ferroptosis in MS are still uncertain. In this study, mRNA expression profiles and clinical data of MS samples were retrieved from Gene Expression Omnibus database. Weighted gene co-expression network analysis and receiver operating cha ...[more]

PMID: 36595760

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Dataset Information

Identification of ferroptosis-related gene signatures associated with multiple sclerosis using weighted gene co-expression network analysis.

Publications

Identification of ferroptosis-related gene signatures associated with multiple sclerosis using weighted gene co-expression network analysis.

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