Chinese Journal of Tissue Engineering Research ›› 2021, Vol. 25 ›› Issue (14): 2183-2191.doi: 10.3969/j.issn.2095-4344.3797
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Shen Fu1, Kuang Gaoyan2, Yang Zhuo1, Wen Meng1, Zhu Kaimin1, Yu Guizhi1, Xu Wuji3, Deng Bo2
Received:
2020-06-10
Revised:
2020-06-13
Accepted:
2020-07-29
Online:
2021-05-18
Published:
2020-12-30
Contact:
Xu Wuji, MD, Associate chief physician, Department of Spine, Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410005, Hunan Province, China
Deng Bo, Associate professor, Master’s supervisor, Department of Orthopedics, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, Hunan Province, China
About author:
Shen Fu, Master candidate, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China
Supported by:
CLC Number:
Shen Fu, Kuang Gaoyan, Yang Zhuo, Wen Meng, Zhu Kaimin, Yu Guizhi, Xu Wuji, Deng Bo . Immune infiltration mechanism of differential expression genes in rheumatoid arthritis and potential therapeutic prediction of Chinese herbs[J]. Chinese Journal of Tissue Engineering Research, 2021, 25(14): 2183-2191.
2.3 差异基因的GO及KEGG富集分析结果 运用R语言程序中的“clusterProfiler”插件包分析类风湿关节炎差异基因进行生物学功能及通路富集分析,上调基因的GO分析中共获取生物过程(biological process,BP)75条,下调基因共富集214条BP。在KEGG富集分析中,上调基因共富集34条通路,下调基因共富集31条信号通路。该课题组在数据分析时发现,上调基因的GO及KEGG富集分析与免疫炎症关系较为密切,如图3A所示,上调基因的GO主要涉及neutrophil activation (中性粒细胞活化)、neutrophil mediated immunity(中性粒细胞介导的免疫)、neutrophil degranulation(中性粒细胞脱颗粒)、neutrophil activation involved in immune response(中性粒细胞活化参与免疫应答)、leukocyte migration(白细胞迁移)、leukocyte chemotaxis(白细胞趋化性)、lymphocyte migration(淋巴细胞迁移)及T cell migration(T淋巴细胞迁移)。如图3B所示,对上调基因按照差异显著性进行气泡图展示,具体通路及富集基因信息如表3所示,在KEGG富集分析中,上调基因主要涉及多种病毒感染通路、趋化因子信号通路、白细胞介素17相关通路以及核转录因子κB通路。 "
2.5 免疫细胞间相关性分析 如图5所示,未活化的自然杀伤细胞(NK cells resting)与中性粒细胞(Neutrophils)呈强烈正相关性(r=0.99),中性粒细胞(Neutrophils)与初始CD4+T细胞(T cells CD4 naive)呈强烈正相关性(r=0.84),未活化的自然杀伤细胞(NK cells resting)与初始CD4+T细胞(T cells CD4 naive)呈强烈正相关性(r=0.80),浆细胞(Plasma cells)与活化的CD4+记忆性T细胞(T cells CD4 memory activated)呈强烈正相关性(r=0.81)。并且,活化的CD4+记忆性T细胞(T cells CD4 memory activated)与活化的自然杀伤细胞(NK cells activated)呈强负相关性(r=-0.73),M2巨噬细胞(macrophages M2)与未活化的自然杀伤细胞(NK cells resting)呈现较强的负相关性(r=-0.64)。"
2.7 免疫浸润相关生物途径的中药预测 通过Coremine Medical预测具有潜在干预类风湿关节炎免疫浸润的中药,如表4所示,以P < 0.05作为筛选标准,预测得出39种中药与中性粒细胞活化、中性粒细胞脱颗粒、白细胞迁移、白细胞趋化性、淋巴细胞迁移、T细胞迁移相关等免疫生物过程及ADCY2,CCR5,CXCL10,CXCL13,CXCL16,CXCR3等核心靶基因相关,将结果导入Cytoscape软件中进行可视化展示,如图7A所示,该网络中共有节点53个,边51条,该网络中山药、鱼脑石、桑叶的度值较高,提示与类风湿关节炎相关免疫浸润的关系最密切,其干预类风湿关节炎免疫浸润的机制可能与通过作用于CCR5,CXCL10,CXCR3及CXCL13干预白细胞及T细胞迁移相关。对预测的中药进行归经分类,如图7B所示,与类风湿关节炎免疫浸润相关中药多归肝肾经,且与补虚、解表及利水渗湿相关,药物功效统计具体如图7C所示。"
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