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

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 di...

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Published inZhongliu fangzhi yanjiu Vol. 52; no. 3; pp. 201 - 207
Main Authors Zhang, Li, Zhang, Jingying, Zhou, Tong, Li, Wenqing, You, Weicheng, Pan, Kaifeng, Zhang, Yang
Format Journal Article
LanguageChinese
English
Published Tianjin China Anti-Cancer Association 01.03.2025
Magazine House of Cancer Research on Prevention and Treatment
Subjects
Online AccessGet full text
ISSN1000-8578
DOI10.3971/j.issn.1000-8578.2025.24.0702

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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.
AbstractList 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.
ObjectiveTo 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. MethodsA 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. ResultsA 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). ConclusionThe 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.
Author Zhang, Yang
You, Weicheng
Zhang, Jingying
Zhou, Tong
Zhang, Li
Li, Wenqing
Pan, Kaifeng
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Snippet Objective To screen specific antibodies to Helicobacter pylori (H. pylori) in serum, and establish antibody panels and discrimination models for different...
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SubjectTerms Antibodies
Cancer
Cancer screening
current infection
Endoscopy
Gastric cancer
Helicobacter
helicobacter pylori
Immunoblotting
Immunoglobulin G
infection exposure
Infections
Invasiveness
Medical screening
Panels
past infection
specific antibody
Title Discrimination Models for Helicobacter Pylori Infection by Multi-Serological Line Assay in Chinese Population
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