Title |
Animal Models of Nonalcoholic Steatohepatitis: Eat, Delete, and Inflame
|
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Published in |
Digestive Diseases and Sciences, December 2015
|
DOI | 10.1007/s10620-015-3977-1 |
Pubmed ID | |
Authors |
Samar H. Ibrahim, Petra Hirsova, Harmeet Malhi, Gregory J. Gores |
Abstract |
With the obesity epidemic, nonalcoholic fatty liver disease (NAFLD) has become a public health problem with increasing prevalence. The mechanism of disease progression remains obscure and effective therapy is lacking. Therefore, there is a need to understand the pathogenic mechanisms responsible for disease development and progression in order to develop innovative therapies. To accomplish this goal, experimental animal models that recapitulate the human disease are necessary, especially, since causative mechanistic studies of NAFLD are more difficult or unethical to perform in humans. A large number of studies regarding the pathophysiology and treatment of nonalcoholic steatohepatitis (NASH) have been undertaken in mice to model human NAFLD and NASH. This review discusses the known dietary, genetic, and inflammation-based animal models of NASH described in recent years, with a focus on the major advances made in this field. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 224 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 42 | 19% |
Researcher | 38 | 17% |
Student > Master | 23 | 10% |
Student > Bachelor | 22 | 10% |
Other | 8 | 4% |
Other | 23 | 10% |
Unknown | 70 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 51 | 23% |
Medicine and Dentistry | 29 | 13% |
Agricultural and Biological Sciences | 25 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 21 | 9% |
Engineering | 5 | 2% |
Other | 20 | 9% |
Unknown | 75 | 33% |