检验医学 ›› 2018, Vol. 33 ›› Issue (10): 894-898.DOI: 10.3969/j.issn.1673-8640.2018.10.005

• 临床应用研究∙论著 • 上一篇    下一篇

白细胞CD35和CD11b表达在诊断细菌感染中的价值

王维维1, 郝军2, 袁向亮1, 章黎华1, 郑培明1, 费奇力1, 奚迪1, 沈立松1()   

  1. 1.上海交通大学医学院附属新华医院检验科,上海 200092
    2.威海市中心医院检验科,山东 威海 264400
  • 收稿日期:2017-11-22 出版日期:2018-10-30 发布日期:2018-10-30
  • 作者简介:null
    作者简介:王维维,女,1982年生,博士,副主任技师,主要从事流式细胞术检验工作。
  • 基金资助:
    国家自然科学基金(81301788);上海市青年临床医技人才(临床检验专业)培养计划(沪医卫基[2016]05号)

Expressions of leukocyte CD35 and CD11b in the diagnosis of bacterial infection

WANG Weiwei1, HAO Jun2, YUAN Xiangliang1, ZHANG Lihua1, ZHENG Peiming1, FEI Qili1, XI Di1, SHEN Lisong1()   

  1. 1. Department of Clinical Laboratory,Xinhua Hospital,Shanghai Jiaotong University School of Medicine,Shanghai 200092,China
    2. Department of Clinical Laboratory,Weihai Central Hospital,Weihai 264400,Shandong,China
  • Received:2017-11-22 Online:2018-10-30 Published:2018-10-30

摘要:

目的 评估白细胞表达补体受体(CR)1(CD35)和CR3(CD11b)作为诊断细菌感染指标的可能性。方法 采用流式细胞仪检测39例细菌感染患者及23名体检健康者(正常对照组)外周血白细胞(淋巴细胞、单核细胞和中性粒细胞)CD35和CD11b的平均荧光强度(MFI),分别计算各组中性粒细胞CD35 MFI/淋巴细胞CD35 MFI比值(简称CD35比值)、中性粒细胞CD11b MFI/淋巴细胞CD11b MFI比值(简称CD11b比值),并按公式[感染指数=中性粒细胞MFI2/(淋巴细胞MFI×单核细胞MFI)]计算CD35感染指数和CD11b感染指数,同时检测CD64 MFI并计算CD64比值及CD64感染指数。采用受试者工作特征(ROC)曲线评估各项指标诊断细菌感染的价值。结果 细菌感染组淋巴细胞CD35 MFI、CD11b MFI和CD64 MFI均低于正常对照组(P<0.000 1、P<0.01、P<0.000 1),而中性粒细胞CD35 MFI、CD11b MFI和CD64 MFI均高于正常对照组(P<0.000 1、P<0.000 1、P<0.01);细菌感染组单核细胞CD11b MFI和CD64 MFI高于正常对照组(P<0.000 1、P<0.001),而2个组之间单核细胞CD35 MFI差异无统计学意义(P>0.05)。细菌感染组CD35比值、CD35感染指数、CD11b比值、CD11b感染指数、CD64比值及CD64感染指数均明显高于正常对照组(P<0.000 1)。ROC曲线分析显示,CD35比值、CD11b比值和CD64比值诊断细菌感染的曲线下面积(AUC)差异无统计学意义(P>0.05);CD11b感染指数诊断细菌感染的AUC大于CD64感染指数(P<0.05),而CD35感染指数与CD64感染指数之间AUC差异无统计学意义(P>0.05)。结论 CD35和CD11b可作为诊断细菌感染的新指标。

关键词: 补体受体, CD35, CD11b, CD64, 感染, 白细胞, 流式细胞术

Abstract:

Objective To evaluate the roles of leukocyte complement receptor (CR) 1 (CD35) and CR3(CD11b) expressions for the diagnosis of bacterial infection. Methods The mean fluorescence intensities (MFI) of CD35 and CD11b in leukocytes (lymphocytes,monocytes and neutrophils) in 39 patients with bacterial infection and 23 healthy subjects (healthy control group) were determined by flow cytometry. The neutrophil CD35 MFI/lymphocyte CD35 MFI ratio (hereinafter referred to as CD35 ratio) and neutrophil CD11b MFI/lymphocyte CD11b MFI ratio (hereinafter referred to as CD11b ratio) were calculated. CD35 infection index and CD11b infection index were calculated according to the formula: infection index = neutrophil MFI2/(lymphocyte MFI×monocyte MFI). CD64 MFI was determined,and the CD64 ratio and CD64 infection index were calculated. The performance of each indicator in the diagnosis of bacterial infection was assessed using receiver operating characteristics (ROC) curve. Results The MFI of lymphocyte CD35,CD11b and CD64 in bacterial infection group were lower than those in healthy control group (P<0.000 1,P<0.01,P<0.000 1). The MFI of neutrophil CD35,CD11b and CD64 in bacterial infection group were higher than those in healthy control group (P<0.000 1,P<0.000 1,P<0.01). The MFI of monocyte CD11b and CD64 in bacterial infection group were higher than those in healthy control group (P<0.000 1,P<0.01),and there was no statistical significance for monocyte CD35 MFI between the 2 groups (P>0.05). In bacterial infection group,CD35 ratio,CD35 infection index,CD11b ratio,CD11b infection index,CD64 ratio and CD64 infection index were higher than those in healthy control group (P<0.000 1). ROC curve analysis showed that the areas under curves (AUC) of CD35 ratio,CD11b ratio and CD64 ratio had no statistical significance (P>0.05). The AUC of CD11b infection index was bigger than that of CD64 infection index (P<0.05),and there was no statistical significance between CD35 infection index and CD64 infection index (P>0.05). Conclusions CD35 and CD11b could be new markers for the diagnosis of bacterial infection.

Key words: Complement receptor, CD35, CD11b, CD64, Infection, Leukocyte, Flow cytometry

中图分类号: