Application of an organoid-based model to explore Helicobacter pylori–human gastric epithelium interaction in vitro

<i>Helicobacter pylori</i> infection causes histopathologic changes in gastric epithelial cells, resulting in conditions such as gastritis, gastric ulcers, and ultimately, gastric cancer. To date, various experimental models, including cell lines and animal studies, have been employed to investigate these pathological processes. However, each model presents its limitations. This study compared the re-cultured three-dimensional organoids from infected single cells, apical-out, and two-dimensional (2D) organoids models to better understand the mechanisms underlying the epithelial changes caused by <i>H. pylori</i> infection in the human stomach. Thus, we analyzed the epithelial cell responses, inflammatory mediator expressions, apical-junctional complex alterations, and <i>H. pylori</i> infection interactions in these organoid models. Moreover, we revealed that the high accessibility and experimental efficiency of the apical-out and 2D models enable easier manipulation and faster analysis of <i>H. pylori</i> infection compared to the single-cell infection model. These results indicate the potential of various organoid models in <i>H. pylori</i> infection studies to provide essential data that help in understanding the mechanisms of epithelial changes and in developing new therapeutic strategies for gastric pathology.

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Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2025-05-15
DOI
https://doi.org/10.3389/fcimb.2025.1572244
Citations
3
Primary Topic
Helicobacter pylori-related gastroenterology studies
Type
article
Field-Weighted Citation Impact
6.02

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article

Application of an organoid-based model to explore Helicobacter pylori–human gastric epithelium interaction in vitro

So Dam Lee, Sungsook Yu, Ki Taek Nam, Bo Ram Hwang et al.
3 citations
Frontiers in Cellular and Infection Microbiology
Helicobacter pylori-related gastroenterology studies
6.02
article

Application of an organoid-based model to explore Helicobacter pylori–human gastric epithelium interaction in vitro

So Dam Lee, Sungsook Yu, Ki Taek Nam, Bo Ram Hwang, Yong Chan Lee, Ji Seon Kim, Byeong Min Yu
article en
3 citations

Abstract

<i>Helicobacter pylori</i> infection causes histopathologic changes in gastric epithelial cells, resulting in conditions such as gastritis, gastric ulcers, and ultimately, gastric cancer. To date, various experimental models, including cell lines and animal studies, have been employed to investigate these pathological processes. However, each model presents its limitations. This study compared the re-cultured three-dimensional organoids from infected single cells, apical-out, and two-dimensional (2D) organoids models to better understand the mechanisms underlying the epithelial changes caused by <i>H. pylori</i> infection in the human stomach. Thus, we analyzed the epithelial cell responses, inflammatory mediator expressions, apical-junctional complex alterations, and <i>H. pylori</i> infection interactions in these organoid models. Moreover, we revealed that the high accessibility and experimental efficiency of the apical-out and 2D models enable easier manipulation and faster analysis of <i>H. pylori</i> infection compared to the single-cell infection model. These results indicate the potential of various organoid models in <i>H. pylori</i> infection studies to provide essential data that help in understanding the mechanisms of epithelial changes and in developing new therapeutic strategies for gastric pathology.

Frontiers in Cellular and Infection MicrobiologyVol. 15
Yonsei University (KR)
National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Good health and well-being
Openalex Percentile: Top 4%
Helicobacter pylori-related gastroenterology studies
6.02
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Application of an organoid-based model to explore Helicobacter pylori–human gastric epithelium interaction in vitro — So Dam Lee, Sungsook Yu, et al. · Frontiers in Cellular and Infection Microbiology (2025) | TGRS Research Map | TGRS