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The unique pancreatic stellate cell gene expression signatures are associated with the progression from acute to chronic pancreatitis.
Hu, Cheng; Yin, Liyuan; Chen, Zhiyao; Waldron, Richard T; Lugea, Aurelia; Lin, Yiyun; Zhai, Xiaoqian; Wen, Li; Han, Yuan-Ping; Pandol, Stephen J; Deng, Lihui; Xia, Qing.
Afiliação
  • Hu C; Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Center and West China-Liverpool Biomedical Research Center, West China Hospital, Sichuan University, Chengdu, China.
  • Yin L; Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
  • Chen Z; Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Center and West China-Liverpool Biomedical Research Center, West China Hospital, Sichuan University, Chengdu, China.
  • Waldron RT; Department of Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Lugea A; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
  • Lin Y; Department of Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Zhai X; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
  • Wen L; Graduate School of Biomedical Sciences, UT MD Anderson Cancer Center, University of Texas, Houston, TX, United States.
  • Han YP; Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
  • Pandol SJ; Department of Gastroenterology and Shanghai Key Laboratory of Pancreatic Disease, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Deng L; Center for Growth, Metabolism and Aging, College of Life Sciences, Sichuan University, Chengdu, China.
  • Xia Q; Department of Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Comput Struct Biotechnol J ; 19: 6375-6385, 2021.
Article em En | MEDLINE | ID: mdl-34938413
ABSTRACT
Chronic pancreatitis (CP) is characterized by irreversible fibro-inflammatory changes induced by pancreatic stellate cell (PSC). Unresolved or recurrent injury causes dysregulation of biological process following AP, which would cause CP. Here, we systematically identify genes whose expressions are unique to PSC by comparing transcriptome profiles among total pancreas, pancreatic stellate, acinar, islet and immune cells. We then identified candidate genes and correlated them with the pancreatic disease continuum by performing intersection analysis among total PSC and activated PSC genes, and genes persistently differentially expressed during acute pancreatitis (AP) recovery. Last, we examined the association between candidate genes and AP, and substantiated their potential as biomarkers in experimental AP and recurrent AP (RAP) models. A total of 68 genes were identified as highly and uniquely expressed in PSC. The PSC signatures were highly enriched with extracellular matrix remodeling genes and were significantly enriched in AP pancreas compared to healthy control tissues. Among PSC signature genes that comprised a fibrotic phenotype, 10 were persistently differentially expressed during AP recovery. SPARC was determined as a candidate marker for the pancreatic disease continuum, which was not only persistently differentially expressed even five days after AP injury, but also highly expressed in two clinical datasets of CP. Sparc was also validated as highly elevated in RAP compared to AP mice. This work highlights the unique transcriptional profiles of PSC. These PSC signatures' expression may help to identify patients with high risk of AP progression to CP.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China