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Li ZX, Bronny K, Formichella L, Mejías-Luque R, Burrell T, Macke L, Lang U, Vasapolli R, Hysenaj O, Stallforth I, Vieth M, You WC, Zhang Y, Suerbaum S, Schulz C, Pan KF, Gerhard M. A multiserological line assay to potentially discriminate current from past Helicobacter pylori infection. Clin Microbiol Infect 2024; 30:114-121. [PMID: 37827383 DOI: 10.1016/j.cmi.2023.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/27/2023] [Accepted: 10/05/2023] [Indexed: 10/14/2023]
Abstract
OBJECTIVES Early diagnosis is important in controlling Helicobacter pylori-induced gastritis and progression to gastric malignancy. Serological testing is an efficient non-invasive diagnostic method, but currently does not allow differentiation between active and past infections. To fill this diagnostic gap we investigated the diagnostic value of a panel of ten H. pylori-specific antibodies in individuals with different H. pylori infection status within a German population. METHODS We used the recomLine Helicobacter IgG 2.0 immunoblotting assay to analyse ten H. pylori-specific antibodies in serum samples collected from 1108 volunteers. From these, 788 samples were used to build exposure and infection status models and 320 samples for model validation. H. pylori infection status was verified by histological examination. We applied logistic regression to select antibodies correlated to infection status and developed, with independent validation, discriminating models and risk scores. Receiving operating characteristic analysis was performed to assess the accuracy of the discriminating models. RESULTS Antibody reactivity against cytotoxin-associated gene A (CagA), H. pylori chaperone (GroEL), and hook-associated protein 2 homologue (FliD) was independently associated with the risk of H. pylori exposure with ORs and 95% CIs of 99.24 (46.50-211.80), 46.17 (17.45-122.17), and 22.16 (8.46-55.04), respectively. A risk score comprising these three selected antibodies differentiated currently H. pylori infected or eradicated participants from negatives with an area under the curve of 0.976 (95% CI: 0.965-0.987) (Model 1). Seropositivity for vacuolating cytotoxin A (VacA), GroEL, FliD, H. pylori adhesin A (HpaA), and γ-glutamyl transpeptidase (gGT) was associated with a current infection with an area under the curve of 0.870 (95% CI: 0.837-0.903), which may help discriminate currently infected patients from eradicated ones (Model 2). DISCUSSION The recomLine assay is sensitive and specific in determining H. pylori infection and eradication status and thus represents a valuable tool in the management of H. pylori infection.
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Affiliation(s)
- Zhe-Xuan Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing, China; PYLOTUM Key Joint Laboratory for Upper GI Cancer, Technische Universität München, Munich, Germany, Peking University Cancer Hospital & Institute, Beijing, China; Institute of Medical Microbiology, Immunology and Hygiene, School of Medicine, Technical University of Munich (TUM), Munich, Germany; Department of Clinical Research, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Kathrin Bronny
- Institute of Medical Microbiology, Immunology and Hygiene, School of Medicine, Technical University of Munich (TUM), Munich, Germany
| | - Luca Formichella
- Institute of Medical Microbiology, Immunology and Hygiene, School of Medicine, Technical University of Munich (TUM), Munich, Germany
| | - Raquel Mejías-Luque
- PYLOTUM Key Joint Laboratory for Upper GI Cancer, Technische Universität München, Munich, Germany, Peking University Cancer Hospital & Institute, Beijing, China; Institute of Medical Microbiology, Immunology and Hygiene, School of Medicine, Technical University of Munich (TUM), Munich, Germany
| | - Teresa Burrell
- Institute of Medical Microbiology, Immunology and Hygiene, School of Medicine, Technical University of Munich (TUM), Munich, Germany
| | - Lukas Macke
- Institute of Medical Microbiology, Immunology and Hygiene, School of Medicine, Technical University of Munich (TUM), Munich, Germany; Medical Department II, University Hospital, LMU, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Ulrich Lang
- Medical Department II, University Hospital, LMU, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Riccardo Vasapolli
- Medical Department II, University Hospital, LMU, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Olsi Hysenaj
- Medical Department II, University Hospital, LMU, Munich, Germany
| | - Ingrid Stallforth
- Institute of Medical Microbiology, Immunology and Hygiene, School of Medicine, Technical University of Munich (TUM), Munich, Germany
| | - Michael Vieth
- PYLOTUM Key Joint Laboratory for Upper GI Cancer, Technische Universität München, Munich, Germany, Peking University Cancer Hospital & Institute, Beijing, China; Institute of Pathology, Klinikum Bayreuth, Bayreuth, Germany
| | - Wei-Cheng You
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing, China; PYLOTUM Key Joint Laboratory for Upper GI Cancer, Technische Universität München, Munich, Germany, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yang Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing, China; PYLOTUM Key Joint Laboratory for Upper GI Cancer, Technische Universität München, Munich, Germany, Peking University Cancer Hospital & Institute, Beijing, China
| | - Sebastian Suerbaum
- German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany; Max von Pettenkofer Institute, Faculty of Medicine, Ludwig-Maximilians University of Munich, Munich, Germany; National Reference Center for Helicobacter Pylori, Munich, Germany
| | - Christian Schulz
- Medical Department II, University Hospital, LMU, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Kai-Feng Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing, China; PYLOTUM Key Joint Laboratory for Upper GI Cancer, Technische Universität München, Munich, Germany, Peking University Cancer Hospital & Institute, Beijing, China
| | - Markus Gerhard
- PYLOTUM Key Joint Laboratory for Upper GI Cancer, Technische Universität München, Munich, Germany, Peking University Cancer Hospital & Institute, Beijing, China; Institute of Medical Microbiology, Immunology and Hygiene, School of Medicine, Technical University of Munich (TUM), Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.
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Li ZX, Huang LL, Liu C, Formichella L, Zhang Y, Wang YM, Zhang L, Ma JL, Liu WD, Ulm K, Wang JX, Zhang L, Bajbouj M, Li M, Vieth M, Quante M, Zhou T, Wang LH, Suchanek S, Soutschek E, Schmid R, Classen M, You WC, Gerhard M, Pan KF. Cut-off optimization for 13C-urea breath test in a community-based trial by mathematic, histology and serology approach. Sci Rep 2017; 7:2072. [PMID: 28522798 PMCID: PMC5437005 DOI: 10.1038/s41598-017-02180-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 04/07/2017] [Indexed: 12/25/2022] Open
Abstract
The performance of diagnostic tests in intervention trials of Helicobacter pylori (H.pylori) eradication is crucial, since even minor inaccuracies can have major impact. To determine the cut-off point for 13C-urea breath test (13C-UBT) and to assess if it can be further optimized by serologic testing, mathematic modeling, histopathology and serologic validation were applied. A finite mixture model (FMM) was developed in 21,857 subjects, and an independent validation by modified Giemsa staining was conducted in 300 selected subjects. H.pylori status was determined using recomLine H.pylori assay in 2,113 subjects with a borderline 13C-UBT results. The delta over baseline-value (DOB) of 3.8 was an optimal cut-off point by a FMM in modelling dataset, which was further validated as the most appropriate cut-off point by Giemsa staining (sensitivity = 94.53%, specificity = 92.93%). In the borderline population, 1,468 subjects were determined as H.pylori positive by recomLine (69.5%). A significant correlation between the number of positive H.pylori serum responses and DOB value was found (rs = 0.217, P < 0.001). A mathematical approach such as FMM might be an alternative measure in optimizing the cut-off point for 13C-UBT in community-based studies, and a second method to determine H.pylori status for subjects with borderline value of 13C-UBT was necessary and recommended.
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Affiliation(s)
- Zhe-Xuan Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China
| | - Lei-Lei Huang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China
| | - Cong Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China
| | - Luca Formichella
- Technische Universität München, Klinikum rechts der Isar, Trogerstr. 30, 81675, Munich, Germany
| | - Yang Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China
| | - Yu-Mei Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China
| | - Lian Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China
| | - Jun-Ling Ma
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China
| | | | - Kurt Ulm
- Technische Universität München, Klinikum rechts der Isar, Trogerstr. 30, 81675, Munich, Germany
| | | | - Lei Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China
| | - Monther Bajbouj
- Technische Universität München, Klinikum rechts der Isar, Trogerstr. 30, 81675, Munich, Germany
| | - Ming Li
- Healthy Bureau of Linqu County, Shandong, China
| | - Michael Vieth
- Institute of Pathology, Klinikum Bayreuth, Preuschwitzer Str. 101, 95445, Bayreuth, Germany
| | - Michael Quante
- Technische Universität München, Klinikum rechts der Isar, Trogerstr. 30, 81675, Munich, Germany
| | - Tong Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China
| | - Le-Hua Wang
- Healthy Bureau of Linqu County, Shandong, China
| | - Stepan Suchanek
- Charles University, Central Military Hospital Prague, Ovocný trh 3-5, Prague, 11636, Czech Republic
| | - Erwin Soutschek
- Mikrogen GmbH, Floriansbogen 2-4, Neuried, Munich, 82061, Germany
| | - Roland Schmid
- Technische Universität München, Klinikum rechts der Isar, Trogerstr. 30, 81675, Munich, Germany
| | - Meinhard Classen
- Technische Universität München, Klinikum rechts der Isar, Trogerstr. 30, 81675, Munich, Germany.,International Digestive Cancer Alliance, 81541, Munich, Germany
| | - Wei-Cheng You
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China
| | - Markus Gerhard
- Technische Universität München, Klinikum rechts der Isar, Trogerstr. 30, 81675, Munich, Germany. .,German Centre of Infection Research, partner site Munich, Munich, Germany.
| | - Kai-Feng Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China.
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Kalali B, Formichella L, Gerhard M. Diagnosis of Helicobacter pylori: Changes towards the Future. Diseases 2015; 3:122-135. [PMID: 28943614 PMCID: PMC5548244 DOI: 10.3390/diseases3030122] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Revised: 06/18/2015] [Accepted: 06/19/2015] [Indexed: 12/19/2022] Open
Abstract
Since the first evidence demonstrating the dramatically high incidence of H. pylori infection and the subsequent medical challenges it incurs, health management of H. pylori infection has been a high priority for health authorities worldwide. Despite a decreasing rate of infection in western countries, prevalence of H. pylori infection in developing and in some industrial countries is still very high. Whereas treatment and vaccination against H. pylori is a contemporary issue in medical communities, selective treatment and prior high-throughput screening of the subject population is a major concern of health organizations. So far, diagnostic tests are either elaborative and require relatively advanced medical care infrastructure or they do not fulfill the criteria recommended by the Maastricht IV/Florence consensus report. In this review, in light of recent scientific studies, we highlight current and possible future approaches for the diagnosis of H. pylori. We point out that novel non-invasive tests may not only cover the requirements of gold standard methods in H. pylori detection but also offer the potential for risk stratification of infection in a high throughput manner.
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Affiliation(s)
- Behnam Kalali
- Institute of Medical Microbiology, Immunology and Hygiene, TU-Munich, Troger Str.30, 81675 Munich, Germany.
- ImevaX GmbH, Grillparzer Str.18, 81675 Munich, Germany.
| | - Luca Formichella
- Institute of Medical Microbiology, Immunology and Hygiene, TU-Munich, Troger Str.30, 81675 Munich, Germany.
| | - Markus Gerhard
- Institute of Medical Microbiology, Immunology and Hygiene, TU-Munich, Troger Str.30, 81675 Munich, Germany.
- ImevaX GmbH, Grillparzer Str.18, 81675 Munich, Germany.
- German Center for Infection Research (DZIF), Partner site Munich, Troger Str.30, 81675 Munich, Germany.
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Pan KF, Formichella L, Zhang L, Zhang Y, Ma JL, Li ZX, Liu C, Wang YM, Goettner G, Ulm K, Classen M, You WC, Gerhard M. Helicobacter pylori antibody responses and evolution of precancerous gastric lesions in a Chinese population. Int J Cancer 2013; 134:2118-25. [PMID: 24155048 DOI: 10.1002/ijc.28560] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2013] [Accepted: 10/04/2013] [Indexed: 12/18/2022]
Abstract
Helicobacter pylori-specific proteins are involved in gastric carcinogenesis. To investigate the seroprevalence of six H. pylori-specific antibodies in patients with different gastric histology, and the impact of seropositivities on the evolution of precancerous gastric lesions, a follow-up study was conducted in Linqu County, China. The seropositivities for CagA, VacA, GroEL, UreA, HcpC and gGT were assessed by recomLine analysis in 573 H. pylori-positive subjects and correlated with evolution of precancerous gastric lesions. We found that the score of H. pylori recomLine test was significantly increased in subjects with chronic atrophic gastritis (CAG, p < 0.0001) or intestinal metaplasia (IM, p = 0.0125), and CagA was an independent predictor of advanced gastric lesions, adjusted odds ratios (ORs) were 2.54 (95% CI = 1.42-4.55) for IM and 2.38 (95% CI = 1.05-5.37) for dysplasia (DYS). Moreover, seropositivities for CagA and GroEL were identified as independent predictors for progression of gastric lesions in a longitudinal study, and ORs were 2.89 (95% CI = 1.27-6.59) and 2.20 (95% CI = 1.33-3.64), respectively. Furthermore, the risk of progression was more pronounced in subjects with more than three positive antigens (p(for) trend = 0.0003). This population-based study revealed that seropositivities for CagA and GroEL might be potential markers to identify patients infected with high-risk H. pylori strains, which are related to the development of GC in a Chinese high-risk population, and recomLine test might serve as a tool for risk stratification.
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Affiliation(s)
- Kai-Feng Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing, China
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