ArticleHelicobacter2019
Changes of tight junction and interleukin-8 expression using a human gastroid monolayer model of Helicobacter pylori infection.
Article in Helicobacter, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- Physical, chemical, and structural properties of human gastric organoid-derived mucus.American journal of physiology. Gastrointestinal and liver physiology · 2026Article
- Accessible homeostatic gastric organoids reveal secondary cell type-specific host-pathogen interactions in Helicobacter pylori infections.Nature communications · 2025Article
- Article
- A critical review onFrontiers in cellular and infection microbiology · 2025Review
- Application of an organoid-based model to exploreFrontiers in cellular and infection microbiology · 2025Article
- Emerging technologies and current challenges in intratumoral microbiota research.Frontiers in cellular and infection microbiology · 2025Review
- The application of organoids in cancers associated with pathogenic infections.Clinical and experimental medicine · 2024Review
- Dynamic Interactions between Diarrhoeagenic EnteroaggregativeMicroorganisms · 2023Article
- The Relationship between Gastroduodenal Pathologies and Helicobacter pylori cagL (Cytotoxin-Associated Gene L) Polymorphism.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023Article
- Fusobacterium Nucleatum-Induced Tumor Mutation Burden Predicts Poor Survival of Gastric Cancer Patients.Cancers · 2022Article
- Review
- Gastric organoids: Advancing the study of H. pylori pathogenesis and inflammation.Helicobacter · 2022Review
- Mucosal Defense AgainstFrontiers in immunology · 2022Review
- Expression of Tight Junction Proteins According to Functional Dyspepsia Subtype and Sex.Journal of neurogastroenterology and motility · 2020Article
- Risk factors associated with gastric malignancy during chronicMedical research archives · 2020Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundLack of a model that mirrors Helicobacter pylori-induced gastric mucosal inflammation has hampered investigation of early host-bacterial interactions. We used an ex vivo model of human stomach, gastric epithelial organoid monolayers (gastroid monolayers) to investigate interactions of H pylori infection and the apical junctional complex and interleukin-8 (IL-8) expression.
methodMorphology of human antral mucosal gastroid monolayers was evaluated using histology, immunohistochemical (IHC) staining, and transmission electron microscopy (TEM). Functional and gross changes in the apical junctional complexes were assessed using transepithelial electrical resistance (TEER), cytotoxicity assays, and confocal laser scanning microscopy. IL-8 expression was evaluated by real-time quantitative PCR and ELISA.
resultsWhen evaluated by IHC and TEM, the morphology of gastroid monolayers closely resembled in vivo human stomach. Following inoculation of H pylori, TEER transiently declined (up to 51%) in an H pylori density-dependent manner. TEER recovered by 48 hours post-infection and remained normal despite continued presence and replication of H pylori. Confocal scanning microscopy showed minimal disruption of zonula occludens-1 or E-cadherin structure. IL-8 production was unchanged by infection with either CagA-positive or CagA-negative H pylori and JNK and MEK inhibitors did not suppress IL-8 production, whereas p38 and IKK inhibitor significantly did.
conclusionHuman gastroid monolayers provide a model for experimental H pylori infection more consistent with in vivo human infections than seen with typical gastric epithelial cell lines. This ex vivo system should lead to better understanding of H pylori host-pathogen interactions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.