The DOI matches its Crossref record; 139 of the 139 references it cites were found in a registry or an index.
Pathobiology of liver fibrosis: a translational success story
Open accessAbstract
Reversibility of hepatic fibrosis and cirrhosis following antiviral therapy for hepatitis B or C has advanced the prospect of developing antifibrotic therapies for patients with chronic liver diseases, especially non-alcoholic steatohepatitis. Mechanisms of fibrosis have focused on hepatic stellate cells, which become fibrogenic myofibroblasts during injury through ‘activation’, and are at the nexus of efforts to define novel drug targets. Recent studies have clarified pathways of stellate cell gene regulation and epigenetics, emerging pathways of fibrosis regression through the recruitment and amplification of fibrolytic macrophages, nuanced responses of discrete inflammatory cell subsets and the identification of the ‘ductular reaction’ as a marker of severe injury and repair. Based on our expanded knowledge of fibrosis pathogenesis, attention is now directed towards strategies for antifibrotic therapies and regulatory challenges for conducting clinical trials with these agents. New therapies are attempting to: 1) Control or cure the primary disease or reduce tissue injury; 2) Target receptor-ligand interactions and intracellular signaling; 3) Inhibit fibrogenesis; and 4) Promote resolution of fibrosis. Progress is urgently needed in validating non-invasive markers of fibrosis progression and regression that can supplant biopsy and shorten the duration of clinical trials. Both scientific and clinical challenges remain, however the past three decades of steady progress in understanding liver fibrosis have contributed to an emerging translational success story, with realistic hopes for antifibrotic therapies to treat patients with chronic liver disease in the near future.
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Cites
Pioglitazone, Vitamin E, or Placebo for Nonalcoholic Steatohepatitis
Sanyal, A. J., Chalasani, N., Kowdley, K. V., McCullough, A., Diehl, A. M., Bass, N. M., Neuschwander-Tetri, B. A., Lavine, J. E., Tonascia, J., Unalp, A., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0907929 · Cited by 3,327
Neuschwander-Tetri, B. A., Loomba, R., Sanyal, A. J., Lavine, J. E., Van Natta, M. L., Abdelmalek, M. F., Chalasani, N., Dasarathy, S., Diehl, A. M., Hameed, B., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61933-4 · Cited by 2,237
Senescence of Activated Stellate Cells Limits Liver Fibrosis
Krizhanovsky, V., Yon, M., Dickins, R. A., Hearn, S., Simon, J., Miething, C., Yee, H., Zender, L., & Lowe, S. W. (2008) · Cell · doi:10.1016/j.cell.2008.09.015 · Cited by 2,027
Marcellin, P., Gane, E., Buti, M., Afdhal, N., Sievert, W., Jacobson, I. M., Washington, M. K., Germanidis, G., Flaherty, J. F., Schall, R. A., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61425-1 · Cited by 1,788
van der Meer, A. J., Veldt, B. J., Feld, J. J., Wedemeyer, H., Dufour, J.-F., Lammert, F., Duarte-Rojo, A., Heathcote, E. J., Manns, M. P., Kuske, L., et al. (2012) · JAMA · doi:10.1001/jama.2012.144878 · Cited by 1,510
Mederacke, I., Hsu, C. C., Troeger, J. S., Huebener, P., Mu, X., Dapito, D. H., Pradere, J.-P., & Schwabe, R. F. (2013) · Nature Communications · doi:10.1038/ncomms3823 · Cited by 1,443
Liver fibrosis and repair: Immune regulation of wound healing in a solid organ
Pellicoro, A., Ramachandran, P., Iredale, J. P., & Fallowfield, J. A. (2014) · Nature Reviews Immunology · doi:10.1038/nri3623 · Cited by 1,310
Ripoll, C., Groszmann, R., Garcia–Tsao, G., Grace, N., Burroughs, A., Planas, R., Escorsell, A., Garcia–Pagan, J. C., Makuch, R., Patch, D., et al. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.05.024 · Cited by 1,183
Macrophage heterogeneity in liver injury and fibrosis
Tacke, F., & Zimmermann, H. W. (2014) · Journal of Hepatology · doi:10.1016/j.jhep.2013.12.025 · Cited by 1,061
Decoding cell death signals in liver inflammation
Brenner, C., Galluzzi, L., Kepp, O., & Kroemer, G. (2013) · Journal of Hepatology · doi:10.1016/j.jhep.2013.03.033 · Cited by 1,022
Cited by
Mechanisms of hepatic stellate cell activation
Tsuchida, T., & Friedman, S. L. (2017) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.38 · Cited by 2,909
Self-citationLlovet, J. M., Zucman-Rossi, J., Pikarsky, E., Sangro, B., Schwartz, M., Sherman, M., & Gores, G. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.18 · Cited by 2,531
Molecular and cellular mechanisms of liver fibrosis and its regression
Kisseleva, T., & Brenner, D. (2021) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-00372-7 · Cited by 2,024
Hepatic stellate cells as key target in liver fibrosis
Higashi, T., Friedman, S. L., & Hoshida, Y. (2017) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2017.05.007 · Cited by 1,485
Self-citationTriggering and resolution of inflammation in NASH
Schuster, S., Cabrera, D., Arrese, M., & Feldstein, A. E. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0009-6 · Cited by 943
Metadata
- Authors
- Lee, Y. A., Wallace, M. C., & Friedman, S. L.
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2015-02-13
- Volume
- 64
- Issue
- 5
- Pages
- 830-841
- ISSN
- 0017-5749 (ISSN-L)
- 1468-3288
- OpenAlex
- W2171925512
- Cited by
- 894
- References
- 139
- FWCI
- 49.12
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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