Discrimination Models for Helicobacter Pylori Infection by Multi-Serological Line Assay in Chinese Population
10.3971/j.issn.1000-8578.2025.24.0702
- VernacularTitle: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
- Author:
Li ZHANG
1
;
Jingying ZHANG
;
Tong ZHOU
;
Wenqing LI
;
Weicheng YOU
;
Kaifeng PAN
;
Yang ZHANG
Author Information
1. 100142 北京,北京大学肿瘤医院暨北京市肿瘤防治研究所流行病学研究室,恶性肿瘤发病机制及转化研究教育部重点实验室
- Publication Type:Journal Article
- Keywords:
Helicobacter pylori;
Specific antibody;
Infection exposure;
Current infection;
Past infection
- From:
Cancer Research on Prevention and Treatment
2025;52(3):201-207
- CountryChina
- Language:Chinese
-
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.
