Sun Shulong, Li Hua, Li Yan, Yang Liubing, Zhang Juanjuan, Cao Yujing
Department of Emergency Trauma Center, Henan University of Chinese Medicine Henan Province Hospital of Traditional Chinese Medicine, Zhengzhou, China.
College of Orthopedics and Traumatology, Henan University of Chinese Medicine, Zhengzhou, China.
Sci Rep. 2025 Aug 26;15(1):31432. doi: 10.1038/s41598-025-15210-6.
Tendon injury is a common and challenging clinical problem, and its healing process involves complex cellular and biological factors. Therefore, this study aims to reveal the mechanism of tendon healing and provide theoretical basis for clinical treatment. We first selected GSE26051 dataset from the GEO database and used R language to obtain 721 DEGs (459 up-regulated and 262 down-regulated). Subsequently, the 7378 genes of tendon injury obtained from the GeneCards database were intersected with DEGs to obtain 228 common genes. We constructed a PPI network of common genes using the STRING database, visualized it using Cytoscape software, and selected the top 10 (MYH6, MYL3, MYH1, MYH8, MYL1, TTN, TCAP, PKP2, ACTN2, CSRP3) genes through the CytoHubba plugin. We further identified hub genes (MYH1, MYH6, PKP2, MYH8) via machine learning models. Afterwards, the cytoskeleton in muscle cells and IL-17 signaling pathways were obtained by GO and KEGG analysis of common genes. Finally, the macrophages M2 was screened through immune infiltration analysis. This study revealed that hub genes such as MYH1, MYH6, MYH8 and PKP2 were mainly enriched in the cytoskeleton in muscle cells signaling pathway, and macrophage M2 played an important role in the inflammatory phase of tendon healing.
肌腱损伤是一个常见且具有挑战性的临床问题，其愈合过程涉及复杂的细胞和生物学因素。因此，本研究旨在揭示肌腱愈合的机制，并为临床治疗提供理论依据。我们首先从GEO数据库中选取GSE26051数据集，并使用R语言获得721个差异表达基因（459个上调和262个下调）。随后，将从GeneCards数据库获得的7378个肌腱损伤基因与差异表达基因进行交集分析，以获得228个共同基因。我们使用STRING数据库构建共同基因的蛋白质-蛋白质相互作用（PPI）网络，使用Cytoscape软件进行可视化，并通过CytoHubba插件选择前10个基因（MYH6、MYL3、MYH1、MYH8、MYL1、TTN、TCAP、PKP2、ACTN2、CSRP3）。我们通过机器学习模型进一步鉴定了核心基因（MYH1、MYH6、PKP2、MYH8）。之后，通过对共同基因的基因本体（GO）和京都基因与基因组百科全书（KEGG）分析，获得了肌肉细胞中的细胞骨架和白细胞介素-17信号通路。最后，通过免疫浸润分析筛选出M2巨噬细胞。本研究表明，MYH1、MYH6、MYH8和PKP2等核心基因主要富集于肌肉细胞信号通路中的细胞骨架，而M2巨噬细胞在肌腱愈合的炎症阶段发挥重要作用。
