摘要
目的建立CD16^(+)单核细胞检测方法,探讨外周血单核细胞亚型检测在强直性脊柱炎(AS)中的应用.方法采用多参数流式细胞技术检测AS组(50例)和健康对照组(40例)患者的单核细胞亚型和血浆中7种细胞因子(TNF-α、IL-2、IL-4、IL-6、IL-10、IL-17A和IFN-γ),统计分析两组CD16^(+)单核细胞百分率和血浆细胞因子含量的差异;分析各单核细胞亚型与相关细胞因子表达量的相关性.结果与对照组比较,AS组CD16^(+)单核细胞亚型明显上调(P<0.01),同时其血浆中5种细胞因子(TNF-α、IL-6、IL-10、IL-17A和IFN-γ)水平均显著升高(P<0.05),且部分细胞因子(TNF-α、IL-6、IL-17A)与CD16^(+)单核细胞百分率呈正相关关系(P<0.01).结论CD16^(+)单核细胞百分率变化与AS的发生密切相关;检测患者外周血CD16^(+)单核细胞亚型可为AS诊断提供新的实验室检查指标.
Objective To establish CD16^(+)mononuclear cell detection method and study the application of perip-heral blood mononuclear cell subtype detection in the ankylosing spondylitis(AS).Method Multiple parameter flow cytometry was used to detect monocyte subtypes and plasma cytokines(TNF-α,IL-2,IL-4,IL-6,IL-10,IL-17A and IFN-γ)in AS patients(50 cases)and healthy controls(40 cases).The differences of CD16^(+)monocyte percentage and plasma cytokine content between the two groups were statistically analyzed.The correlation between the expression levels of cytokines and the subtypes of monocytes was analyzed.Results Compared with the control group,CD16^(+)monocyte subtypes in AS group were significantly up-regulated(P<0.01),while the plasma levels of five cytokines(TNF-α,IL-6,IL-10,IL-17A and IFN-γ)were significantly increased(P<0.05),and some cytokines(TNF-α,IL-6,IL-17A)were linearly positively correlated with the percentage of CD16^(+)monocytes(P<0.01).Conclusion The change of the percentage of CD16^(+)monocytes was closely related to the occurrence of AS.Detection of CD16^(+)monocyte subtypes in peripheral blood of patients may provide a new laboratory index for the diagnosis of AS.
作者
于淼
杨林
李伟静
宋宇
王玉辉
王旭
郑亮亮
宋玉国
YU Miao;YANG Lin;LI Weijing;SONG Yu;WANG Yuhui;WANG Xu;ZHENG Liangliang;SONG Yuguo(College of Medical Technology,Beihua University,Jilin 132013,China;Basic Medicine College of Beihua University,Jilin 132011,China;Affiliated Hospital of Beihua University,Jilin 132011,China)
出处
《北华大学学报(自然科学版)》
CAS
2022年第3期341-345,共5页
Journal of Beihua University(Natural Science)
基金
吉林省卫生与健康技术创新项目(2017J090,2020J021)
北华大学研究生创新计划项目(2019054).