检验医学 ›› 2013, Vol. 28 ›› Issue (11): 1001-1007.DOI: 10.3969/j.issn.1673-8640.2013.11.009

• 临床应用研究.论著 • 上一篇    下一篇

HCV感染者F蛋白抗体阳性检出率的Meta分析

刘婕1,王嘉拾2,余文华3,张磊4,康华4,范志娟4,刘树业4   

  1. 1.天津医科大学三中心临床学院检验科,天津 300170;
    2.天津医科大学研究生院神经外科学,天津 300170;
    3.天津医科大学公共卫生学院,天津 300170;
    4.天津市第三中心医院检验科,天津 300170
  • 收稿日期:2012-12-15 出版日期:2013-11-30 发布日期:2013-12-20
  • 通讯作者: 刘树业,联系电话022-84112332。
  • 作者简介:刘婕,女,1988年生,学士,主要从事肝胆疾病的代谢组学研究。

Meta analysis on the positive detection rate of anti-F protein antibodies in patients with HCV infection

LIU Jie1, WANG Jiashi2, YU Wenhua3, ZHANG Lei4, KANG Hua4, FAN Zhijuan4, LIU Shuye4.   

  1. 1. Department of Clinical Laboratory, the Third Central Clinical College, Tianjin Medical University, Tianjin 300170, China;
    2.Department of Neurosurgery, Graduate School, Tianjin Medical University, Tianjin 300170, China;
    3.School of Public Health, Tianjin Medical University, Tianjin 300170, hina;
    4.Department of Clinical Laboratory, the Third Central Hospital of Tianjin, Tianjin 300170, China
  • Received:2012-12-15 Online:2013-11-30 Published:2013-12-20

摘要:

目的 采用Meta分析的方法探讨丙型肝炎病毒(HCV)感染者体内抗F蛋白循环抗体的产生。方法 检索1968年至2012年11月中国知网、万方数据库、万方医学网、维普、SinoMED、Medline、Pubmed、Splingerlink、Cochrane、Sciencedirect的相关文献,手工检索查全补充,严格根据纳入和排除标准筛选文献,将最终纳入文献采用Revman5.0软件进行数据合并与分析。采用OQAQ量表对结果进行评价。结果 HCV感染者与健康人群对照,共纳入14项病例对照研究,合计1348例HCV感染者,F蛋白抗体检出率差异有统计学意义(P<0.00001),合并率的优势比>1,总体比值比(OR)达64.81[95%可信区间(CI)为29.90~140.49];HCV感染者与非HCV感染者对照,共纳入11项对照研究,合计923例HCV感染者,F蛋白抗体检出率差异有统计学意义(P<0.00001),HCV感染者F蛋白检出率是非HCV感染者的53.09倍(95%CI为23.56~119.66);HCV感染者F蛋白抗体检出率与核心蛋白抗体检出率对照,共纳入8项对照研究,合计770例HCV感染者,差异有统计学意义(P<0.00001),率差(RD)为-0.42(95%CI为-0.59~-0.25),核心蛋白抗体检出率比F蛋白抗体高42%。结论 HCV感染者体内抗F蛋白抗体检出率明显高于健康人和非HCV感染者。F蛋白可诱导HCV感染者产生抗F蛋白特异性循环抗体,是HCV产生的特异蛋白,可为实验室诊断HCV感染和监测干扰素联合治疗HCV效果提供理论依据和数据支持。

关键词: Meta分析, F蛋白, 丙型肝炎病毒

Abstract:

Objective To investigate the production of anti-F protein antibodies in patients with hepatitis C virus (HCV) infection by Meta analysis. Methods Relative literatures were searched from the CNKI, Wan Fang, Weipu, SinoMED, Medline, Pubmed, Splingerlink, Cochrane and Science direct from 1968 to November 2012, and hand searching investigation was as complement. The literatures were selected according to the inclusion and exclusion criteria. The final literatures were consolidated and analyzed by Revman 5.0 software. The results were evaluated by Oxman-Guyatt Overview qualityassessment questionnaire (OQAQ). Results The results of patients with HCV infection and healthy subjects were compared, and 14 studies with 1 348 patients with HCV infection were enrolled. The positive detection rate of anti-F protein antibodies had statistical significance (P<0.000 01). The superiority of pooled rate was>1. The total odds ratio (OR) was 64.81 [95% confidence interval (CI) 29.90-140.49]. The results of patients with HCV infection and non-HCV infection were compared, and 11 studies with 923 patients with HCV infection were enrolled. The positive detection rate of anti-F protein antibodies had statistical significance (P<0.000 01). The positive detection rate of patients with HCV infection was 53.09 times for that of patients with non-HCV infection (95% CI 23.56-119.66). By comparing the positive detection rate of anti-F protein antibodies with that of anti-core protein antibodies in patients with HCV infection, and 8 studies with 770 patients with HCV infection were enrolled, and there was statistical significance (P<0.000 01). The rate difference (RD) was -0.42 (95% CI -0.59--0.25).The positive detection rate of anti-core protein antibodies was 42%, which was higher than that of anti-F protein antibodies. Conclusions The positive detection rate of anti-F protein antibodies in patients with HCV infection is significantly higher than those in healthy subjects and patients with non-HCV infection. F protein can induce HCV infection producing anti-F protein antibodies, which is a specific protein. It provides a theoretical basis and datum support for the diagnosis of HCV infection and monitoring the interferon combination therapy.

Key words: Meta analysis, F protein, Hepatitis C virus

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