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基于血清特异性抗体建立中国人群幽门螺杆菌感染判别模型的研究

Discrimination Models for Helicobacter Pylori Infection by Multi-Serological Line Assay in Chinese Population

  • 摘要:
    目的 筛选血清特异性抗体,建立适用于中国人群胃癌筛查、非侵入性判别幽门螺杆菌感染状态的抗体组合和模型。
    方法 基于胃癌高发区胃镜筛查队列,纳入300例幽门螺杆菌现况感染、既往感染和感染阴性受试者。采用血清免疫印迹试剂盒对10种特异性抗体进行比较和筛选。
    结果 9种特异性抗体的阳性率在不同组间差异显著,均P<0.05。利用9种抗体灰度值得分建立判别模型,能区分感染暴露(现况+既往感染)和阴性病例,曲线下面积(AUC)为0.935(95%CI:0.907~0.963)。CagA、GroEL、FliD和gGT抗体灰度值得分能区分现况和既往感染病例(AUC=0.927,95%CI:0.891~0.964)。
    结论 本研究筛选和建立的幽门螺杆菌感染相关抗体组合和判别模型为制定精准化胃癌预防策略提供了一种潜在、非侵入性筛查方法。

     

    Abstract:
    Objective To screen specific antibodies to Helicobacter pylori (H. pylori) in serum, and establish antibody panels and discrimination models for different infection status, which are non-invasive and suitable for gastric cancer screening in Chinese population.
    Methods A total of 300 subjects with different H. pylori statuses were enrolled depending on an endoscopy screening cohort in a high-risk area of gastric cancer, including current, past, and negative infections. The recomLine Helicobacter IgG 2.0 immunoblotting assay was used to analyze and screen 10 H. pylori specific antibodies in serum samples.
    Results A total of nine antibody reactivity against CagA, VacA, GroEL, FliD, HpaA, gGT, HtrA, NapA, and CtkA showed significant differences among different H. pylori infection status groups (all P<0.05). A panel comprising the nine antibodies distinguished exposure subjects to H. pylori (current and past infections) from negatives, with an area under the curve (AUC) of 0.935 (95%CI: 0.907–0.963). The combination of four antibodies (CagA, GroEL, FliD, and gGT) may help to discriminate current and past infection subjects, with an AUC of 0.927 (95%CI: 0.891–0.964).
    Conclusion The antibody panels and discriminant models for H. pylori infection status established in the present study may provide a potential and non-invasive screening method for the development of precise gastric cancer prevention strategies.

     

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