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Nutrients 2018, 10(7), 939; https://doi.org/10.3390/nu10070939

Understanding the Impact of Dietary Cholesterol on Chronic Metabolic Diseases through Studies in Rodent Models

1
INCLIVA Health Research Institute, 46010 Valencia, Spain
2
CIBER de Diabetes y Enfermedades Metabólicas asociadas (CIBERDEM), 28029 Madrid, Spain
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 22 June 2018 / Revised: 17 July 2018 / Accepted: 19 July 2018 / Published: 21 July 2018
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Abstract

The development of certain chronic metabolic diseases has been attributed to elevated levels of dietary cholesterol. However, decades of research in animal models and humans have demonstrated a high complexity with respect to the impact of dietary cholesterol on the progression of these diseases. Thus, recent investigations in non-alcoholic fatty liver disease (NAFLD) point to dietary cholesterol as a key factor for the activation of inflammatory pathways underlying the transition from NAFLD to non-alcoholic steatohepatitis (NASH) and to hepatic carcinoma. Dietary cholesterol was initially thought to be the key factor for cardiovascular disease development, but its impact on the disease depends partly on the capacity to modulate plasmatic circulating low-density lipoprotein (LDL) cholesterol levels. These studies evidence a complex relationship between these chronic metabolic diseases and dietary cholesterol, which, in certain conditions, might promote metabolic complications. In this review, we summarize rodent studies that evaluate the impact of dietary cholesterol on these two prevalent chronic diseases and their relevance to human pathology. View Full-Text
Keywords: dietary cholesterol; fatty liver disease; animal models; atherosclerosis; inflammation dietary cholesterol; fatty liver disease; animal models; atherosclerosis; inflammation
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Vinué, Á.; Herrero-Cervera, A.; González-Navarro, H. Understanding the Impact of Dietary Cholesterol on Chronic Metabolic Diseases through Studies in Rodent Models. Nutrients 2018, 10, 939.

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