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LDL Receptor Knock-Out Mice Are a Physiological Model Particularly Vulnerable to Study the Onset of Inflammation in Non-Alcoholic Fatty Liver Disease

Overview of attention for article published in PLOS ONE, January 2012
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Title
LDL Receptor Knock-Out Mice Are a Physiological Model Particularly Vulnerable to Study the Onset of Inflammation in Non-Alcoholic Fatty Liver Disease
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0030668
Pubmed ID
Authors

Veerle Bieghs, Patrick J. Van Gorp, Kristiaan Wouters, Tim Hendrikx, Marion J. Gijbels, Marc van Bilsen, Jaap Bakker, Christoph J. Binder, Dieter Lütjohann, Bart Staels, Marten H. Hofker, Ronit Shiri-Sverdlov

Abstract

Non-alcoholic steatohepatitis (NASH) involves steatosis combined with inflammation, which can progress into fibrosis and cirrhosis. Exploring the molecular mechanisms of NASH is highly dependent on the availability of animal models. Currently, the most commonly used animal models for NASH imitate particularly late stages of human disease. Thus, there is a need for an animal model that can be used for investigating the factors that potentiate the inflammatory response within NASH. We have previously shown that 7-day high-fat-high-cholesterol (HFC) feeding induces steatosis and inflammation in both APOE2ki and Ldlr(-/-) mice. However, it is not known whether the early inflammatory response observed in these mice will sustain over time and lead to liver damage. We hypothesized that the inflammatory response in both models is sufficient to induce liver damage over time.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Mexico 1 <1%
Unknown 141 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 27%
Student > Master 24 17%
Researcher 21 15%
Student > Bachelor 7 5%
Other 5 3%
Other 21 15%
Unknown 27 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 32 22%
Agricultural and Biological Sciences 28 20%
Medicine and Dentistry 19 13%
Pharmacology, Toxicology and Pharmaceutical Science 12 8%
Immunology and Microbiology 6 4%
Other 7 5%
Unknown 39 27%