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

TL;DR
This study identifies key genes linked to rheumatoid arthritis by analyzing gene expression in mice with inflammatory pain, highlighting potential targets for treatment.
Contribution
The study introduces ECM-related hub genes (Fn1, Bgn, Lum) as novel candidates in inflammatory pain and rheumatoid arthritis pathogenesis.
Findings
76 differentially expressed genes were identified, including 64 upregulated and 12 downregulated genes.
Fn1, Bgn, and Lum were confirmed as hub genes involved in ECM remodeling and inflammatory responses.
qPCR validation showed significant upregulation of Fn1, Bgn, and Lum mRNA in the CFA-induced pain model.
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,…
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Taxonomy
TopicsRheumatoid Arthritis Research and Therapies · Pain Mechanisms and Treatments · Bone Metabolism and Diseases
