【摘要】 目的 初步了解新型负性分子Siglec-9在肺结核中的变化特点和作用。方法 利用R语言对GSE83456芯片数据进行生物信息学分析。纳入确诊肺结核（PTB）患者48例，健康对照组46例，采用实时荧光定量PCR(qRT-PCR)检测外周血单个核细胞（PBMC）Siglec-9 mRNA表达量；采用流式细胞术检测Siglec-9+CD4~+T细胞比例；采用CBA法检测TNF-α、IL-6、IFN-γ、IL-4水平；分析Siglec-9+CD4~+T细胞比例与TNF-α等细胞因子水平相关性。结果 生物信息学分析显示Siglec-9在PTB患者中明显升高（P<0.001），与TNF-α/NF-κB、IL-6/JAK/STATA3、PI3K/AKT/mTOR信号通路相关；实验结果显示Siglec-9~+CD4~+T细胞比例在PTB患者中明显升高（P<0.001）且与TNF-α等细胞因子水平均呈负相关。结论 在PTB患者中，Siglec-9mRNA和Siglec-9+CD4~+T细胞水平升高，可能介导对CD4+T细胞的抑制作用，参与PTB的发生和发展。更多还原

【Abstract】 This study was performed to investigate the variation characteristics and functions of Siglec-9 immune checkpoint in pulmonary tuberculosis. R language was used for bioinformatics analysis of GSE83456 chip data. Total of 48 patients with confirmed pulmonary tuberculosis(PTB) and 46 healthy controls were included. Real-time fluorescence quantitative PCR(qRT-PCR) was used to detect the mRNA expression of Siglec-9 in peripheral blood; flow cytometry was used to detect the proportion of Siglec-9+CD4~+T cells. The levels of TNF-α, IL-6, IFN-γ and IL-4 were detected by Cytometric Bead Array(CBA). Furthermore, the correlation of the proportion of Siglec-9~+CD4~+T cells with TNF-α and other cytokines were analyzed. Bioinformatics analysis showed that Siglec-9 was significantly increased in patients with PTB(P<0.001), and was related to TNF-α/NF-κB, IL-6/JAK/STATA3, PI3K/AKT/mTOR signal pathways. Experimental data showed that the proportion of Siglec-9~+CD4~+T cells was significantly increased in patients with PTB(P<0.001) and negatively correlated with the levels of TNF-α and other cytokines. In conclusion, the higher levels of Siglec-9 mRNA and Siglec-9~+CD4~+T cells in PTB may inhibit the function of CD4~+T cells and participate in the occurrence and development of PTB.更多还原