Metabolic characterization of two different non-alcoholic fatty liver disease pre-clinical mouse models

non-alcoholic fatty liver disease is one of the most prevalent liver disorders in the developed world. Currently, there is no approved pharmacological therapy except for lifestyle intervention. Therefore, there is a need to increase the knowledge of preclinical models in order to boost novel discove...

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Published inRevista española de enfermedades digestivas Vol. 111; no. 4; pp. 301 - 307
Main Authors Gallego-Durán, Rocío, Álvarez-Amor, Leticia, Gil-Gómez, Antonio, Rojas, Ángela, Muñoz-Hernández, Rocío, Cádernas-García, Antonio, Maya-Miles, Douglas, Montero-Vallejo, Rocío, Gato, Sheila, Sánchez Torrijos, Yolanda, Ampuero, Javier, Martín, Francisco, Romero-Gómez, Manuel
Format Journal Article
LanguageEnglish
Published Spain 01.01.2019
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Summary:non-alcoholic fatty liver disease is one of the most prevalent liver disorders in the developed world. Currently, there is no approved pharmacological therapy except for lifestyle intervention. Therefore, there is a need to increase the knowledge of preclinical models in order to boost novel discoveries that could lead to a better therapeutic management. this study characterized the effects of two different diets, a long-term high-fat high-fructose diet (HF-HFD) and a choline-deficient, methionine supplemented high-fat diet (CDA-HFD) in C57BL/6J mice for 52 weeks or 16 weeks, respectively. Body weight, lipid and hepatic profile were analyzed and liver histology was subsequently evaluated. HF-HFD animals had an increased body weight and total cholesterol levels, whereas the opposite occurred in CDA-HFD. Both HF-HFD and CDA-HFD animals had higher ALT and AST levels. With regard to histology findings, HF-HFD and CDA-HFD diets induced an increased collagen deposit and intrahepatic steatosis accumulation. in conclusion, the comparison of these models aided in the selection of a long-term, more physiological model for physiopathology studies or a more rapid NASH model for novel molecule testing.
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ISSN:1130-0108
DOI:10.17235/reed.2019.6083/2018