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Systematic comparison of experimental and human obstructive cholestasis reveals conservation of canonical pathway activation and biomarkers relevant for cholestatic liver disease

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Systematic comparison of experimental and human obstructive cholestasis reveals conservation of canonical pathway activation and biomarkers relevant for cholestatic liver disease

Eva Gijbels
Kevin De Muynck
Bart Vanderborght
Tim Meese
Filip Van Nieuwerburgh
Aude Vanlander
Frederik Berrevoet
Bart Hendrikx
Anne Hoorens
Hans Van Vlierberghe
Mathieu Vinken
Lindsey Devisscher
Genes & Diseases第10卷, 第1期pp.18-21纸质出版 2023-01-01在线发表 2022-03-14
122200

Cholelithiasis-induced cholestasis is one of the most common causes of hospitalization due to gastrointestinal disease, yet considerable know ledge gaps exist in the pathogenesis of this disease. This can partially be explained by inadequate characterization of experimental cholestasis models. Here, we compared the transcriptional profile of commonly used mouse models for obstructive cholestasis and benchmarked them to human disease to identify the model (s) best suited for cholelithiasis-induced cholestasis research and to uncover conserved mechanism s involved in hum an and murine cholestasis. Selected mouse models included bile duct ligation (BDL) surgery and 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC) diet, and a drug-induced cholestasis model using cyclosporin A (CsA), in an acute and chronic setting. Human samples were collected from patients with cholelithiasis-induced cholestasis of an acute (HUMAC) and recurrent nature (HUMREC). RNA sequencing was performed on mouse and human liver tissue. Both the BDL and DDC models, but not the CsA model, were shown to be applicable for studying cholelithiasis-induced cholestasis, with transcriptomic profiles that highly correspond to acute cholestasis in hum an patients. In particular, the conservation of canonical pathways related to the inflammatory response and cytoskeleton organization, in which the Rho family GTPase is involved, were identified. Our study furthermore revealed promising mechanistic-based transcriptomic biomarkers relevant for murine and human cholestasis, which could potentially be useful for robust prediction and detection of diverse types of cholestatic liver disease.

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