REVIEW article
Front. Microbiol.
Sec. Infectious Agents and Disease
Volume 16 - 2025 | doi: 10.3389/fmicb.2025.1683366
Research advances of the establishment and characterization of Helicobacter pylori infection animal models
Provisionally accepted- 1Shenyang Pharmaceutical University, Shenyang, China
- 2Beijing Zhifei Lvzhu Biopharmaceutical Co Ltd, Beijing, China
- 3Beijing Bacterial Vaccine Engineering Research Centre, Beijing, China
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Helicobacter pylori (Hp) is a major pathogenic bacterium responsible for gastritis, peptic ulcers, and gastric cancer. The prevention and control of Hp infection pose significant global health challenges, particularly due to the rising antibiotic resistance alongside the current absence of an effective vaccine. This review synthesizes the key elements governing successful model establishment, including strain characteristics, animal host species selection, pretreatment methods, and infection protocols. It further elaborates on the methods for detecting and quantifying Hp in animal models, including invasive and non-invasive detection techniques for model validation, and explores the potential applications of spatial transcriptomics in this field. Furthermore, the review outlines current progress and limitations in Hp infection modeling. Aimed at supporting preclinical research, this review serves as a practical reference for establishing stable and reproducible animal models that mimic human infection and disease progression, thereby facilitating the evaluation of novel therapeutics and vaccine candidates.
Keywords: Helicobacter pylori, animal model, Infection model, Establishmentmethods, Animal species selection, detection, quantification
Received: 28 Aug 2025; Accepted: 29 Sep 2025.
Copyright: © 2025 Zhang, Cui, Zhu, Li, Su and Du. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Songping Li, song-ping.li@hotmail.com
Guimin Su, suguimin@zhifeishengwu.com
Lin Du, dulin@zhifeishengwu.com
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