Optimized mouse models for liver fibrosis
Methods in Molecular Biology, ISSN: 1064-3745, Vol: 1559, Page: 279-296
2017
- 71Citations
- 58Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations71
- Citation Indexes70
- 70
- CrossRef36
- Policy Citations1
- Policy Citation1
- Captures58
- Readers58
- 58
Book Chapter Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85009766733&origin=inward; http://dx.doi.org/10.1007/978-1-4939-6786-5_19; http://www.ncbi.nlm.nih.gov/pubmed/28063051; http://link.springer.com/10.1007/978-1-4939-6786-5_19; https://doi.org/10.1007%2F978-1-4939-6786-5_19; https://dx.doi.org/10.1007/978-1-4939-6786-5_19; https://link.springer.com/protocol/10.1007/978-1-4939-6786-5_19
Springer Science and Business Media LLC
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