Non-alcoholic fatty liver disease (NAFLD) models in drug discovery. (1st February 2018)

• Record Type: Journal Article
• Authors: Cole, Banumathi K.; Feaver, Ryan E.; Wamhoff, Brian R.; Dash, Ajit
• Is Part Of: Expert opinion on drug discovery. Volume 13:Number 2(2018:Feb.)
• Page Start: 193
• Page End: 205
• Publication Date: 2018-02-01
• Subjects: Non-alcoholic fatty liver disease (NAFLD) -- non-alcoholic steatohepatitis (NASH) -- organotypic -- preclinical -- steatosis -- inflammation -- fibrosis -- hepatocyte -- hepatic stellate cell; 615.1
• DOI: 10.1080/17460441.2018.1410135
• Languages: English
• ISSNs: 1746-0441

Abstract

ABSTRACT: Introduction : The progressive disease spectrum of non-alcoholic fatty liver disease (NAFLD), which includes non-alcoholic steatohepatitis (NASH), is a rapidly emerging public health crisis with no approved therapy. The diversity of various therapies under development highlights the lack of consensus around the most effective target, underscoring the need for better translatable preclinical models to study the complex progressive disease and effective therapies. Areas covered : This article reviews published literature of various mouse models of NASH used in preclinical studies, as well as complex organotypic in vitro and ex vivo liver models being developed. It discusses translational challenges associated with both kinds of models, and describes some of the studies that validate their application in NAFLD. Expert opinion : Animal models offer advantages of understanding drug distribution and effects in a whole body context, but are limited by important species differences. Human organotypic in vitro and ex vivo models with physiological relevance and translatability need to be used in a tiered manner with simpler screens. Leveraging newer technologies, like metabolomics, proteomics, and transcriptomics, and the future development of validated disease biomarkers will allow us to fully utilize the value of these models to understand disease and evaluate novel drugs in isolation or combination.