ArticleJournal of translational medicine2024
Revealing the pathogenesis of gastric intestinal metaplasia based on the mucosoid air-liquid interface.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Review
- Signaling pathways and targeted interventions for precancers.Signal transduction and targeted therapy · 2026Review
- Associations between serum sex steroid hormone metabolites and gastric cancer and precancerous lesions in men: A 11.8-year prospective study.Journal of translational internal medicine · 2025Article
- Review
- Exploratory research on therapeutic agents combined with early diagnostic biomarkers for colorectal cancer.Frontiers in pharmacology · 2025Article
- Refining the diagnostic utility of OLFM4 in gastric cancer precursors: a call for rigorous methodologies.Molecular cancer · 2024Article
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Authors and funding
12 authors.
Funding
Abstract
backgroundGastric intestinal metaplasia (GIM) is an essential precancerous lesion. Although the reversal of GIM is challenging, it potentially brings a state-to-art strategy for gastric cancer therapeutics (GC). The lack of the appropriate in vitro model limits studies of GIM pathogenesis, which is the issue this work aims to address for further studies.
methodThe air-liquid interface (ALI) model was adopted for the long-term culture of GIM cells in the present work. This study conducted Immunofluorescence (IF), quantitative real-time polymerase chain reaction (qRT-PCR), transcriptomic sequencing, and mucoproteomic sequencing (MS) techniques to identify the pathways for differential expressed genes (DEGs) enrichment among different groups, furthermore, to verify novel biomarkers of GIM cells.
resultOur study suggests that GIM-ALI model is analog to the innate GIM cells, which thus can be used for mucus collection and drug screening. We found genes MUC17, CDA, TRIM15, TBX3, FLVCR2, ONECUT2, ACY3, NMUR2, and MAL2 were highly expressed in GIM cells, while GLDN, SLC5A5, MAL, and MALAT1 showed down-regulated, which can be used as potential biomarkers for GIM cells. In parallel, these genes that highly expressed in GIM samples were mainly involved in cancer-related pathways, such as the MAPK signal pathway and oxidative phosphorylation signal pathway.
conclusionThe ALI model is validated for the first time for the in vitro study of GIM. GIM-ALI model is a novel in vitro model that can mimic the tissue micro-environment in GIM patients and further provide an avenue for studying the characteristics of GIM mucus. Our study identified new markers of GIM as well as pathways associated with GIM, which provides outstanding insight for exploring GIM pathogenesis and potentially other related conditions.
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