Evidence map›Paper›PMID 41675495›Full record

ArticleFrontiers in immunology2025

Identification of key genes associated with muscle atrophy after spinal cord injury and experimental verification in rats.

Xiang Wang, Yimin Gao, Jianzhong Huo

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xiang WangDepartment of Pain Medicine, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital,Shanxi Academy of Medical Sciences, Taiyuan, China.
Yimin GaoDepartment of Gynaecology and Obstetrics, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China.
Jianzhong HuoDepartment of Orthopedics, Second Hospital of Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Spinal cord injury (SCI) is a neurological disease with high morbidity and mortality. Post-SCI muscle atrophy is a cascade response to SCI, and failure to actively prevent its occurrence severely affects patients' mobility and quality of life. Therefore, deeply exploring the correlation between muscle atrophy after SCI and the molecular regulation mechanism is of great significance. Methods: Download GSE21497 expression profile data from the gene expression omnibus (GEO) database. Perform weighted gene co-expression network analysis (WGCNA) on the obtained differentially expressed genes (DEGs). Subsequently, we performed functional and pathway enrichment analyses of key modules. Construct a protein-protein interaction (PPI) network and screen core genes. Finally, the results were verified by real-time polymerase chain reaction(PCR). Results: A total of 1007 DEGs were obtained, including 533 upregulated genes and 474 downregulated genes. WGCNA analysis identified 161 turquoise modules of DEGs as key modules related to SCI. Functional enrichment analysis showed that these genes were mainly enriched in negative regulation of cellular process, cytosol, response to organic substance, endpoint system, extracellar region, peroxisome proliferators-activated receptors (PPARs) signaling, adherens junction signaling, and DNA replication signaling pathway. Conclusions: FOS and CCL2 may be involved in the molecular pathophysiology of muscle atrophy after SCI, serving as potential targets for diagnosis or treatment of SCI-related muscle atrophy.

Indexed as

Muscular AtrophySpinal Cord InjuriesAnimalsComputational BiologyDisease Models, AnimalGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksProtein Interaction MapsRatsTranscriptomebioinformatics analysisdifferentially expressed geneshub genesmuscle atrophyspinal cord injuryweighted gene co-expression network analysis

Identifiers

PMID41675495
PMCPMC12885991

What Socratic holds

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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.