Huang Pengjie, Gao Li, Guan Jiezhong, Li Yijiao, Jia Yibing, Zeng Zixiang, Chen Yurun, Wang Linge, Li Weichang, Wang Yan, Yang Bo
Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, People's Republic of China.
South China Advanced Institute for Soft Matter Science and Technology, School of Molecular Science and Engineering, Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices, South China University of Technology, Guangzhou, People's Republic of China.
J Inflamm Res. 2025 May 11;18:6105-6122. doi: 10.2147/JIR.S524284. eCollection 2025.
To identify osteoclastogenic macrophage subsets and their regulatory mechanisms in periodontitis.
We integrated single-cell RNA sequencing datasets from human and murine periodontitis to construct a comprehensive macrophage and monocyte atlas. Employing functional enrichment, cell-cell communication, pseudotime, transcription factor, and machine learning analyses, we characterized and selected the specific macrophage subset involved in cell interactions. In vitro and in vivo experiments, including enzyme-linked immunosorbent assay, TRAP staining, micro-CT, qPCR, flow cytometry, and immunofluorescence staining, were performed to dissect the osteoclastogenic potential of specific macrophage subsets and to identify the key pathways.
We discovered that the IL7R macrophage subset possesses significant osteoclast differentiation potential. Our findings indicate that the IL7/IL7R signaling axis facilitates osteoclast differentiation. Genes highly expressed in IL7R macrophages were identified as strong predictors for periodontitis by machine learning models. In vivo and in vitro experimental validation confirmed an increase in IL7R macrophages, along with their enhanced osteoclastogenic capacity. confirmed an increase in IL7R macrophages, along with their osteoclastogenic capacity. The inhibition of the IL7/IL7R signaling pathway was found to mitigate periodontitis progression by impeding osteoclast differentiation. Furthermore, fibroblasts were found to secret IL7 interacting with IL7 receptors on macrophages.
Our study identifies IL7R macrophages as potential osteoclast precursors in periodontitis. We demonstrate that the IL7/IL7R signaling pathway is a critical driver of osteoclast differentiation. Moreover, targeting IL7R is a potential therapeutic strategy to curb periodontitis bone resorption.
鉴定牙周炎中促破骨细胞生成的巨噬细胞亚群及其调控机制。
我们整合了来自人类和小鼠牙周炎的单细胞RNA测序数据集,以构建一个全面的巨噬细胞和单核细胞图谱。通过功能富集、细胞间通讯、伪时间、转录因子和机器学习分析,我们对参与细胞相互作用的特定巨噬细胞亚群进行了表征和筛选。进行了体外和体内实验,包括酶联免疫吸附测定、抗酒石酸酸性磷酸酶染色、显微计算机断层扫描、定量聚合酶链反应、流式细胞术和免疫荧光染色,以剖析特定巨噬细胞亚群的破骨细胞生成潜力并确定关键途径。
我们发现IL7R巨噬细胞亚群具有显著的破骨细胞分化潜力。我们的研究结果表明,IL7/IL7R信号轴促进破骨细胞分化。机器学习模型将在IL7R巨噬细胞中高表达的基因鉴定为牙周炎的强预测因子。体内和体外实验验证证实了IL7R巨噬细胞数量增加,以及它们增强的破骨细胞生成能力。发现抑制IL7/IL7R信号通路可通过阻碍破骨细胞分化来减轻牙周炎进展。此外,发现成纤维细胞分泌与巨噬细胞上的IL7受体相互作用的IL7。
我们的研究将IL7R巨噬细胞鉴定为牙周炎中潜在的破骨细胞前体。我们证明IL7/IL7R信号通路是破骨细胞分化的关键驱动因素。此外,靶向IL-7R是抑制牙周炎骨吸收的潜在治疗策略。