Zhang Yuxin, Wu Zhigang, Lu Shenji, Lin Minghui, Yue Xiaokun, Wang Zengguang, Cai Bin
Department of Rehabilitation Medicine, Hainan Western Central Hospital, Danzhou, Hainan, People's Republic of China.
Department of Rehabilitation Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
J Inflamm Res. 2023 Mar 15;16:1169-1181. doi: 10.2147/JIR.S400557. eCollection 2023.
This study aimed to characterize the gene expression profile at the early stages of the healing process of post-traumatic joint contracture (PTJC).
Twelve rats were used for PTJC model establishment and were divided into four groups according to the sampling time: S0d, S3d, S7d and S2w. Transcriptome sequencing was performed on fibrotic joint capsule samples in four groups followed by bioinformatics analyses including differentially expressed genes (DEGs) screening, Short Time-series Expression Miner (STEM) analysis, network construction, and pathway analysis. Five important genes were validated by qRT-PCR.
A total of 1171, 1052 and 793 DEGs were screened in S3d vs S0d, S7d vs S0d, and S2w vs S0d comparison groups, respectively. A total of 383 overlapping genes were screened out, which were significantly enriched in some inflammatory functions and pathways. Through STEM analysis, three clusters were identified, including 105, 57 and 57 DEGs, respectively. Then, based on the cluster genes, 10 genes, such as and were further selected after PPI and pathway analyses. The expression levels of and were validated by qRT-PCR.
The present study screened out several genes with significant changes in expression levels at the early stages of the healing process in PTJC, such as and . Our study offers a valuable contribution to the understanding pathomechanism of PTJC.
本研究旨在描述创伤后关节挛缩（PTJC）愈合过程早期的基因表达谱。
选用12只大鼠建立PTJC模型，并根据取样时间分为四组：S0d、S3d、S7d和S2w。对四组纤维化关节囊样本进行转录组测序，随后进行生物信息学分析，包括差异表达基因（DEG）筛选、短时序列表达挖掘器（STEM）分析、网络构建和通路分析。通过qRT-PCR验证五个重要基因。
在S3d与S0d、S7d与S0d、S2w与S0d比较组中分别筛选出1171、1052和793个DEG。共筛选出383个重叠基因，这些基因在一些炎症功能和通路中显著富集。通过STEM分析，鉴定出三个聚类，分别包含105、57和57个DEG。然后，基于聚类基因，经过蛋白质-蛋白质相互作用（PPI）和通路分析后进一步选择了10个基因，如 和 。通过qRT-PCR验证了 和 的表达水平。
本研究筛选出了几个在PTJC愈合过程早期表达水平有显著变化的基因，如 和 。我们的研究为理解PTJC的发病机制提供了有价值的贡献。
