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pmid:41595435

Transcriptome Profiling of the Anterior Cingulate Cortex in a CFA-Induced Inflammatory Pain Model Identifies ECM-Related Genes in a Model of Rheumatoid Arthritis.

Guang-Xin Xie · Jian-Mei Li · Bai-Tong Liu · Jiang-Tao Wang · Lu-Shuang Xie · Xiao-Yi Xiong · Qiao-Feng Wu · Shu-Guang Yu

Genes · 2025 doi:10.3390/genes17010015

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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title
Transcriptome Profiling of the Anterior Cingulate Cortex in a CFA-Induced Inflammatory Pain Model Identifies ECM-Related Genes in a Model of Rheumatoid Arthritis.
doi
10.3390/genes17010015
pmid
41595435
authors array · 8 items
[0]
Guang-Xin Xie
[1]
Jian-Mei Li
[2]
Bai-Tong Liu
[3]
Jiang-Tao Wang
[4]
Lu-Shuang Xie
[5]
Xiao-Yi Xiong
[6]
Qiao-Feng Wu
[7]
Shu-Guang Yu
journal
Genes
year
2025
abstract
BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent joint inflammation and progressive bone destruction. However, its complex pathogenesis remains poorly understood, and effective therapeutic targets are still lacking. OBJECTIVE: This study aimed to identify key genes associated with RA and elucidate their biological significance by integrating bioinformatic analysis with experimental validation. METHODS: Whole-transcriptome data from the anterior cingulate cortex (ACC) of Complete Freund's Adjuvant (CFA)-induced inflammatory pain and control mice (GSE147216 dataset, GEO database) were collected from NCBI (National Center for Biotechnology Information). Differentially expressed genes (DEGs) were first identified. Subsequent analyses included Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, construction of a protein-protein interaction (PPI) network, and identification of hub genes using a Random Forest machine learning algorithm. Quantitative PCR (qPCR) was performed to validate gene expression levels. RESULTS: A total of 76 DEGs were identified, including 64 upregulated and 12 downregulated genes. Among them, Fn1 (fibronectin 1), Bgn (biglycan), and Lum (lumican) were identified as hub genes. Functional enrichment analysis revealed inflammatory responses, extracellular matrix (ECM) remodeling, and the TGF-β signaling pathway. qPCR validation confirmed significant upregulation of Fn1, Bgn, and Lum mRNA in the CFA group. CONCLUSIONS: This study highlights the potential roles of Fn1, Bgn, and Lum in the central sensitization associated with inflammatory pain, offering insights relevant to RA.
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A total of 76 DEGs were identified, including 64 upregulated and 12 downregulated genes. Among them, Fn1 (fibronectin 1), Bgn (biglycan), and Lum (lumican) were identified as hub genes. qPCR validation confirmed significant upregulation of Fn1, Bgn, and Lum mRNA in the CFA group.
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A total of 76 DEGs were identified, including 64 upregulated and 12 downregulated genes.
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Among them, Fn1 (fibronectin 1), Bgn (biglycan), and Lum (lumican) were identified as hub genes.
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qPCR validation confirmed significant upregulation of Fn1, Bgn, and Lum mRNA in the CFA group.
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A total of 76 DEGs were identified, including 64 upregulated and 12 downregulated genes. Among them, Fn1 (fibronectin 1), Bgn (biglycan), and Lum (lumican) were identified as hub genes. qPCR validation confirmed significant upregulation of Fn1, Bgn, and Lum mRNA in the CFA group.
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Complete file
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However, its complex pathogenesis remains poorly understood, and effective therapeutic targets are still lacking.\nOBJECTIVE: This study aimed to identify key genes associated with RA and elucidate their biological significance by integrating bioinformatic analysis with experimental validation.\nMETHODS: Whole-transcriptome data from the anterior cingulate cortex (ACC) of Complete Freund's Adjuvant (CFA)-induced inflammatory pain and control mice (GSE147216 dataset, GEO database) were collected from NCBI (National Center for Biotechnology Information). Differentially expressed genes (DEGs) were first identified. Subsequent analyses included Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, construction of a protein-protein interaction (PPI) network, and identification of hub genes using a Random Forest machine learning algorithm. Quantitative PCR (qPCR) was performed to validate gene expression levels.\nRESULTS: A total of 76 DEGs were identified, including 64 upregulated and 12 downregulated genes. Among them, Fn1 (fibronectin 1), Bgn (biglycan), and Lum (lumican) were identified as hub genes. Functional enrichment analysis revealed inflammatory responses, extracellular matrix (ECM) remodeling, and the TGF-β signaling pathway. qPCR validation confirmed significant upregulation of Fn1, Bgn, and Lum mRNA in the CFA group.\nCONCLUSIONS: This study highlights the potential roles of Fn1, Bgn, and Lum in the central sensitization associated with inflammatory pain, offering insights relevant to RA.", "claims": [{"id": "claim-method", "statement": "A Random Forest analysis was performed to rank the importance of the DEGs identified in Section 3.1.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41595435", "locator": "sections[8] \"2.6. 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