The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Reversal of Hepatic Fibrosis — Fact or Fantasy?
Abstract
The prospect of reversing hepatic fibrosis has generated great interest now that basic science advances are being translated into promising new antifibrotic therapies. It is appropriate to recognize both the historical advances that created the framework for these successes, and the important role that Hepatology has played in disseminating them. A sense of urgency underlies this effort as the epidemics of HCV and NASH are becoming associated with advancing fibrosis. To maintain progress and minimize confusion among investigators and clinicians it is essential to standardize terms referring to fibrosis ‘reversal’ and ‘regression.’ There must also be rapid optimization of non-invasive markers of fibrosis to relieve this current bottleneck to conducting clinical trials. Progress in identifying genetic determinants of fibrosis could further refine patient selection for clinical trials and shorten their duration, as well as unearthing new directions of scientific inquiry. Realistic expectations for successful anti-fibrotic therapies reflect solid evidence of fibrosis regression in patients treated effectively for viral liver disease, as well as growing clarity in the understanding mechanisms of extracellular matrix production and degradation. The paradigms of stellate cell activation and apoptosis remain valuable frameworks for understanding pathways of hepatic fibrogenesis and fibrosis regression, respectively. Continued progress is essential in order to identify the determinants and dynamics of fibrosis reversibility, to discover additional targets for anti-fibrotic therapy, and to develop customized multi-drug regimens. These advances are sure to be captured in the next 25 years by Hepatology, and to profoundly impact the prognosis of patients with chronic liver disease.
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Cites
Nonalcoholic Fatty Liver Disease
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Natural history of liver fibrosis progression in patients with chronic hepatitis C
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Classification of chronic hepatitis: Diagnosis, grading and staging
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Sampling Variability of Liver Fibrosis in Chronic Hepatitis C
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Sampling Variability of Liver Biopsy in Nonalcoholic Fatty Liver Disease
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Sampling error and intraobserver variation in liver biopsy in patients with chronic HCV infection
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Selective depletion of macrophages reveals distinct, opposing roles during liver injury and repair
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Cited by
Hepatic Stellate Cells: Protean, Multifunctional, and Enigmatic Cells of the Liver
Friedman, S. L. (2008) · Physiological Reviews · doi:10.1152/physrev.00013.2007 · Cited by 2,842
Self-citationPathogenesis of Liver Fibrosis
Hernandez-Gea, V., & Friedman, S. L. (2011) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-011110-130246 · Cited by 1,809
Self-citationMagnetic resonance elastography of liver: Technique, analysis, and clinical applications
Venkatesh, S. K., Yin, M., & Ehman, R. L. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.23731 · Cited by 659
A vitamin D receptor/SMAD genomic circuit gates hepatic fibrotic response
Ding, N., Yu, R. T., Subramaniam, N., Sherman, M. H., Wilson, C., Rao, R., Leblanc, M., Coulter, S., He, M., Scott, C., et al. (2013) · Cell · doi:10.1016/j.cell.2013.03.028 · Cited by 622
Ratziu, V., Giral, P., Jacqueminet, S., Charlotte, F., Hartemann–Heurtier, A., Serfaty, L., Podevin, P., Lacorte, J., Bernhardt, C., Bruckert, E., et al. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.03.078 · Cited by 625
Metadata
- Authors
- Friedman, S. L., & Bansal, M. B.
- Venue
- Hepatology
- Published
- 2006-02
- Volume
- 43
- Issue
- Supplement 1
- Pages
- S82-S88
- ISSN
- 0270-9139 (ISSN-L)
- OpenAlex
- W2038774859
- Cited by
- 379
- References
- 69
- FWCI
- 20.46
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
