Zhu Mengjiao, Xing Min, Sun Ruinan, Li Minhui, Qian Wenhao, Fan Mingyue
Department of Orthodontics, Shanghai Xuhui District Dental Center, Shanghai, China.
Dental Laboratory, Shanghai Xuhui District Dental Center, Shanghai, China.
Ann Med Surg (Lond). 2024 Oct 23;86(12):7135-7146. doi: 10.1097/MS9.0000000000002682. eCollection 2024 Dec.
The aim of this study was to investigate the potential inflammatory cytokines and chemokines markers for temporomandibular joint osteoarthritis (TMJOA) diagnosis using a bioinformatics analysis.
The differentially expressed genes of mRNA (DEGs) and transcripts of lncRNA (DETs) were identified between TMJOA samples and normal controls curated from GSE205389 by the "DESeq. 2" R package. KEGG and GO were conducted using the R package "ggplot2" and "clusterProfiler". A PPI network was constructed to identify hub genes by using the STRING and Cytoscape. The co-expression network was constructed between mRNA and lncRNA to check the potential regulation and function of lncRNA on protein-coding genes. Finally, the immune cell infiltration analysis was conducted with CIBERSORTx and confirmed with xCells.
The authors identified 171 DEGs and DETs, of which the DEGs were closely related to immune response, T-cell activation, cytokine-cytokine-receptor interaction, and the muscle system process. PPI network of the DEGs screened the top 10 hub genes, including and . Additionally, the immune cell infiltration analysis showed that CD8 T cells, M1 macrophage and B cells infiltration were increased in TMJOA samples. Finally, the authors demonstrated that the co-expression between mRNA and lncRNA was mainly enriched in inflammatory and muscle-related pathways.
The authors found that immune and muscle system-related pathways as well as the immune infiltration played a significant role in the TMJOA development. Additionally, inflammatory cytokines and chemokines could be crucial markers for early-stage TMJOA diagnosis and personalized treatment strategies.
本研究旨在通过生物信息学分析探讨用于颞下颌关节骨关节炎（TMJOA）诊断的潜在炎性细胞因子和趋化因子标志物。
使用“DESeq. 2”R包，在从GSE205389中选取的TMJOA样本和正常对照之间鉴定mRNA的差异表达基因（DEGs）和lncRNA的转录本（DETs）。使用R包“ggplot2”和“clusterProfiler”进行KEGG和GO分析。利用STRING和Cytoscape构建蛋白质-蛋白质相互作用（PPI）网络以鉴定枢纽基因。构建mRNA与lncRNA之间的共表达网络，以检查lncRNA对蛋白质编码基因的潜在调控和功能。最后，使用CIBERSORTx进行免疫细胞浸润分析，并用xCells进行确认。
作者鉴定出171个DEGs和DETs，其中DEGs与免疫反应、T细胞活化、细胞因子-细胞因子受体相互作用以及肌肉系统过程密切相关。DEGs的PPI网络筛选出前10个枢纽基因，包括 和 。此外，免疫细胞浸润分析表明，TMJOA样本中CD8 T细胞、M1巨噬细胞和B细胞浸润增加。最后，作者证明mRNA与lncRNA之间的共表达主要富集于炎症和肌肉相关途径。
作者发现免疫和肌肉系统相关途径以及免疫浸润在TMJOA发展中起重要作用。此外，炎性细胞因子和趋化因子可能是早期TMJOA诊断和个性化治疗策略的关键标志物。
