Mechanism and endoscopic-treatment-induced evolution of biliary non-anastomotic stricture after liver transplantation revealed by single-cell RNA sequencing

Zhaoyi Wu , Danqing Liu , Yanjiao Ou , Zeliang Xu , Gang Heng , Wei Liu , Nengsheng Fu , Jingyi Wang , Di Jiang , Lang Gan , Jiahong Dong , Xiaojun Wang , Zhiyu Chen , Leida Zhang , Chengcheng Zhang

Clinical and Translational Medicine ›› 2024, Vol. 14 ›› Issue (3) : e1622

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Clinical and Translational Medicine ›› 2024, Vol. 14 ›› Issue (3) : e1622 DOI: 10.1002/ctm2.1622
RESEARCH ARTICLE

Mechanism and endoscopic-treatment-induced evolution of biliary non-anastomotic stricture after liver transplantation revealed by single-cell RNA sequencing

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Abstract

• For the first time, single-cell transcriptome sequencing was performed on the bile ducts of patients with biliary complications.

• scRNA-seq analysis revealed distinct changes in the proportion and phenotype of multiple cell types during Nonanastomotic stricture (NAS) and endoscopic treatment.

• A reduction in bile acid metabolism-related SPP1+ epithelial cells and VEGFA+ endothelial cells, along with explosive infiltration of plasma cells and dysfunction of T and NK cells in NAS patients.

• SPP1+ macrophages and BST2+ T cells might serve as a surrogate marker for predicting endoscopic treatment.

Keywords

atlas of bile duct microenvironment / endoscopic treatment / epithelial cell degeneration and regeneration / liver transplantation / non-anastomotic stricture / scRNA-seq

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Zhaoyi Wu, Danqing Liu, Yanjiao Ou, Zeliang Xu, Gang Heng, Wei Liu, Nengsheng Fu, Jingyi Wang, Di Jiang, Lang Gan, Jiahong Dong, Xiaojun Wang, Zhiyu Chen, Leida Zhang, Chengcheng Zhang. Mechanism and endoscopic-treatment-induced evolution of biliary non-anastomotic stricture after liver transplantation revealed by single-cell RNA sequencing. Clinical and Translational Medicine, 2024, 14(3): e1622 DOI:10.1002/ctm2.1622

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2024 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

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