Choline-deficient Diet-induced NAFLD Animal Model Recaptures Core Human Pathophysiology With Similar Gene Co-expression Networks.

Autor: TATSUYA ISHIGURE, TOMOHIKO SASASE, MARIKA TOHMA, KINUKO UNO, YASUFUMI TORINIWA, TOMOYUKI SAITO, YASUKA SAIGO, KOJI EDAMURA, KATSUHIRO MIYAJIMA, TAKESHI OHTA
Předmět:
Zdroj: In Vivo; Jul/Aug2023, Vol. 37 Issue 4, p1517-1531, 15p
Abstrakt: Background/Aim: Nonalcoholic fatty liver disease (NAFLD) is a wide spectrum of liver disorders ranging from simple steatosis to nonalcoholic steatohepatitis, cirrhosis, and hepatocellular carcinoma. Recently, the prevalence of NAFLD has dramatically increased, and treatment is urgently needed. Animal models are often used to understand the molecular mechanisms of disease development and progression, but their relevance to human diseases has not been fully understood. This study aimed to establish the usefulness of the animal model for preclinical research, we evaluated its relevance to human disease by gene expression analysis. Materials and Methods: We performed weighted gene co-expression network analysis of liver tissues from a choline-deficient L-amino acid-defined (CDAA) diet-induced NAFLD animal model. In addition, module preservation analysis was conducted to evaluate similarity across species. Results: Several modules were identified to be associated with disease severity, and their gene co-expression network was found to be preserved in the human NAFLD datasets. Of note, module brown (immune cell clusters involved in inflammatory responses) was positively associated with disease severity, and its gene co-expression network was highly preserved in the human datasets. Tyrobp, Laptm5 and Lgals3 were identified as hub genes in the brown module, and their increased expression was confirmed in the human datasets. Conclusion: CDAA diet-induced NAFLD animal model recaptured key aspects of human pathophysiology (especially immune cell functions) and is thought to be a powerful tool for understanding the molecular mechanisms of NAFLD development and progression. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index