Evidence map›Paper›PMID 40182603›Full record

ArticleWorld journal of gastroenterology2025

scRNA-seq of the intestine reveals the key role of mast cells in early gut dysfunction associated with acute pancreatitis.

Zu-Xing Wei, Shi-He Jiang, Xiao-Yan Qi, Yi-Miao Cheng, Qiong Liu, Xu-Yang Hou, Jun He

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Article in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zu-Xing WeiDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Shi-He JiangDepartment of Pathology, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Xiao-Yan QiDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Yi-Miao ChengDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Qiong LiuDepartment of Stomatology, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Xu-Yang HouDepartment of Cardiovascular Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
Jun HeDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China. junjunhe@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntestinal barrier dysfunction is a prevalent and varied manifestation of acute pancreatitis (AP). Molecular mechanisms underlying the early intestinal barrier in AP remain poorly understood.

aimTo explore the biological processes and mechanisms of intestinal injury associated with AP, and to find potential targets for early prevention or treatment of intestinal barrier injury.

methodsThis study utilized single-cell RNA sequencing of the small intestine, alongside

resultsSeventeen major cell types and 33232 cells were identified across all samples, including normal, AP1 (4x caerulein injections, animals sacrificed 2 h after the last injection), and AP2 (8x caerulein injections, animals sacrificed 4 h after the last injection). An average of 980 genes per cell was found in the normal intestine, compared to 927 in the AP1 intestine and 1382 in the AP2 intestine. B cells, dendritic cells, mast cells (MCs), and monocytes in AP1 and AP2 showed reduced numbers compared to the normal intestine. Enterocytes, brush cells, enteroendocrine cells, and goblet cells maintained numbers similar to the normal intestine, while cytotoxic T cells and natural killer (NK) cells increased. Enterocytes in early AP exhibited elevated programmed cell death and intestinal barrier dysfunction but retained absorption capabilities. Cytotoxic T cells and NK cells showed enhanced pathogen-fighting abilities. Activated MCs, secreted chemokine (C-C motif) ligand 5 (CCL5), promoted neutrophil and macrophage infiltration and contributed to barrier dysfunction.

conclusionThese findings enrich our understanding of biological processes and mechanisms in AP-associated intestinal injury, suggesting that CCL5 from MCs is a potential target for addressing dysfunction.

Indexed as

Intestinal MucosaIntestine, SmallMast CellsPancreatitisAnimalsCeruletideDisease Models, AnimalHumansMaleMiceRNA-SeqSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisCeruletideAcute pancreatitisCCL5Intestinal barrier functionMast cellSingle-cell RNA sequencing

Identifiers

PMID40182603
PMCPMC11962851

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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.