The DOI matches its Crossref record; 190 of the 190 references it cites were found in a registry or an index.
Organ and tissue fibrosis: Molecular signals, cellular mechanisms and translational implications
Abstract
Fibrosis denotes excessive scarring, which exceeds the normal wound healing response to injury in many tissues. Although the extracellular matrix deposition appears unstructured disrupting the normal tissue architecture and subsequently impairing proper organ function, fibrogenesis is a highly orchestrated process determined by defined sequences of molecular signals and cellular response mechanisms. Persistent injury and parenchymal cell death provokes tissue inflammation, macrophage activation and immune cell infiltration. The release of biologically highly active soluble mediators (alarmins, cytokines, chemokines) lead to the local activation of collagen producing mesenchymal cells such as pericytes, myofibroblasts or Gli1 positive mesenchymal stem cell-like cells, to a transition of various cell types into myofibroblasts as well as to the recruitment of fibroblast precursors. Clinical observations and experimental models highlighted that fibrosis is not a one-way road. Specific mechanistic principles of fibrosis regression involve the resolution of chronic tissue injury, the shift of inflammatory processes towards recovery, deactivation of myofibroblasts and finally fibrolysis of excess matrix scaffold. The thorough understanding of common principles of fibrogenic molecular signals and cellular mechanisms in various organs - such as liver, kidney, lung, heart or skin - is the basis for developing improved diagnostics including biomarkers or imaging techniques and novel antifibrotic therapeutics.
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The basics of epithelial-mesenchymal transition
Kalluri, R., & Weinberg, R. A. (2009) · Journal of Clinical Investigation · doi:10.1172/jci39104 · Cited by 10,196
Zlotnik, A., & Yoshie, O. (2000) · Immunity · doi:10.1016/s1074-7613(00)80165-x · Cited by 3,859
Shull, M. M., Ormsby, I., Kier, A. B., Pawlowski, S., Diebold, R. J., Yin, M., Allen, R., Sidman, C., Proetzel, G., Calvin, D., et al. (1992) · Nature · doi:10.1038/359693a0 · Cited by 2,985
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
The many roles of chemokines and chemokine receptors in inflammation
Charo, I. F., & Ransohoff, R. M. (2006) · New England Journal of Medicine · doi:10.1056/nejmra052723 · Cited by 2,523
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
Dulai, P. S., Singh, S., Patel, J., Soni, M., Prokop, L. J., Younossi, Z., Sebastiani, G., Ekstedt, M., Hagstrom, H., Nasr, P., et al. (2017) · Hepatology · doi:10.1002/hep.29085 · Cited by 1,965
(2015) · Journal of Hepatology · doi:10.1016/j.jhep.2015.04.006 · Cited by 1,875
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
Fibrotic disease and the TH1/TH2 paradigm
Wynn, T. A. (2004) · Nature Reviews Immunology · doi:10.1038/nri1412 · Cited by 1,765
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Self-citationKrenkel, O., Hundertmark, J., Ritz, T., Weiskirchen, R., & Tacke, F. (2019) · Cells · doi:10.3390/cells8050503 · Cited by 241
Self-citationZhang, H., Tian, L., Shen, M., Tu, C., Wu, H., Gu, M., Paik, D. T., & Wu, J. C. (2019) · Circulation Research · doi:10.1161/circresaha.119.315491 · Cited by 187
TGF-β as A Master Regulator of Aging-Associated Tissue Fibrosis
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Metadata
- Authors
- Weiskirchen, R., Weiskirchen, S., & Tacke, F.
- Venue
- Molecular Aspects of Medicine
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 65
- Pages
- 2-15
- ISSN
- 0098-2997 (ISSN-L)
- OpenAlex
- W2811001233
- Cited by
- 538
- References
- 190
- FWCI
- 26.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Weiskirchen, R., Weiskirchen, S., & Tacke, F. (2019). Organ and tissue fibrosis: Molecular signals, cellular mechanisms and translational implications. Molecular Aspects of Medicine. https://doi.org/10.1016/j.mam.2018.06.003
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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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