Chapter title |
Optimized Mouse Models for Liver Fibrosis
|
---|---|
Chapter number | 19 |
Book title |
Inflammation
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-6786-5_19 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6784-1, 978-1-4939-6786-5
|
Authors |
Yong Ook Kim, Yury Popov, Detlef Schuppan M.D., Ph.D., Detlef Schuppan |
Editors |
Björn E. Clausen, Jon D. Laman |
Abstract |
Fibrosis is the excessive accumulation of extracellular matrix components due to chronic injury, with collagens as predominant structural components. Liver fibrosis can progress to cirrhosis, which is characterized by a severe distortion of the delicate hepatic vascular architecture, the shunting of the blood supply away from hepatocytes and the resultant functional liver failure. Cirrhosis is associated with a highly increased morbidity and mortality and represents the major hard endpoint in clinical studies of chronic liver diseases. Moreover, cirrhosis is a strong cofactor of primary liver cancer. In vivo models are indispensable tools to study the cellular and molecular mechanisms of liver fibrosis and to develop specific antifibrotic therapies towards clinical translation. Here, we provide a detailed description of select optimized mouse models of liver fibrosis and state-of-the-art fibrosis readouts. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 50 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 20% |
Student > Ph. D. Student | 7 | 14% |
Student > Bachelor | 6 | 12% |
Student > Master | 4 | 8% |
Student > Doctoral Student | 2 | 4% |
Other | 5 | 10% |
Unknown | 16 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 10 | 20% |
Immunology and Microbiology | 4 | 8% |
Medicine and Dentistry | 4 | 8% |
Agricultural and Biological Sciences | 4 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Other | 8 | 16% |
Unknown | 18 | 36% |