The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Therapeutic approaches to control tissue repair and fibrosis: Extracellular matrix as a game changer
Abstract
Organ fibrosis is characterized by the accumulation of disorganized and stiff extracellular matrix (ECM) and represents the final stage of several life-threatening diseases. The progressive replacement of normal tissue by fibrotic ECM impedes organ functionality to the point of failure. Fibrosis affects millions of people worldwide with no effective cure for various reasons: (a) Due to the lack of clinical biomarkers and non-invasive detection methods fibrosis is often diagnosed too late, when organs are already destroyed beyond repair. (b) Fibrosis can be understood as dysregulated tissue repair that evolved robust programs to be able to respond to various injury scenarios. The redundant nature of these programs often evades linear therapeutic strategies. (c) Fibrosis perpetuates itself by establishing conditions that activate normal into fibrogenic cells which, in turn, create a pro-fibrotic environment. ECM takes center stage in the process of fibrosis as a defining feature and thus potential diagnostic biomarker. The ECM is also a main promoter of the disease process by providing lasting physicochemical pro-fibrotic cues to residing and recruiting cells. Effective anti-fibrotic therapies will need to take the lasting (mis-) instructive character of scar ECM into account. To restore organ functionality, it will be important to (re)turn fibrotic scar into functional ECM, for instance by dissolving fibrotic ECM and delivering cells with regenerative potential.
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Dominici, M., Le Blanc, K., Mueller, I., Slaper-Cortenbach, I., Marini, F. C., Krause, D. S., Deans, R. J., Keating, A., Prockop, D. J., & Horwitz, E. M. (2006) · Cytotherapy · doi:10.1080/14653240600855905 · Cited by 17,766
Gurtner, G. C., Werner, S., Barrandon, Y., & Longaker, M. T. (2008) · Nature · doi:10.1038/nature07039 · Cited by 6,542
Cardiac Fibrosis: The Fibroblast Awakens
Travers, J. G., Kamal, F. A., Robbins, J., Yutzey, K. E., & Blaxall, B. C. (2016) · Circulation Research · doi:10.1161/circresaha.115.306565 · Cited by 1,596
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
Fibrosis–a common pathway to organ injury and failure
Rockey, D. C., Bell, P. D., & Hill, J. A. (2015) · New England Journal of Medicine · doi:10.1056/nejmra1300575 · Cited by 1,428
Inflammation and metabolism in tissue repair and regeneration
Eming, S. A., Wynn, T. A., & Martin, P. (2017) · Science · doi:10.1126/science.aam7928 · Cited by 1,369
Myofibroblast contraction activates latent TGF-β1 from the extracellular matrix
Wipff, P.-J., Rifkin, D. B., Meister, J.-J., & Hinz, B. (2007) · The Journal of Cell Biology · doi:10.1083/jcb.200704042 · Cited by 1,346
Self-citationIredale, J. P., Benyon, R. C., Pickering, J., McCullen, M., Northrop, M., Pawley, S., Hovell, C., & Arthur, M. J. (1998) · Journal of Clinical Investigation · doi:10.1172/jci1018 · Cited by 1,075
The extracellular matrix: tools and insights for the "omics" era
Naba, A., Clauser, K. R., Ding, H., Whittaker, C. A., Carr, S. A., & Hynes, R. O. (2016) · Matrix Biology · doi:10.1016/j.matbio.2015.06.003 · Cited by 1,037
Perivascular Gli1+ Progenitors Are Key Contributors to Injury-Induced Organ Fibrosis
Kramann, R., Schneider, R. K., DiRocco, D. P., Machado, F., Fleig, S., Bondzie, P. A., Henderson, J. M., Ebert, B. L., & Humphreys, B. D. (2015) · Cell Stem Cell · doi:10.1016/j.stem.2014.11.004 · Cited by 922
Cited by
The extracellular matrix as a multitasking player in disease
Theocharis, A. D., Manou, D., & Karamanos, N. K. (2019) · The FEBS Journal · doi:10.1111/febs.14818 · Cited by 511
TGF-β1 – A truly transforming growth factor in fibrosis and immunity
Lodyga, M., & Hinz, B. (2020) · Seminars in Cell & Developmental Biology · doi:10.1016/j.semcdb.2019.12.010 · Cited by 458
Self-citationThe fibrogenic niche in kidney fibrosis: components and mechanisms
Li, L., Fu, H., & Liu, Y. (2022) · Nature Reviews Nephrology · doi:10.1038/s41581-022-00590-z · Cited by 440
The big five in fibrosis: Macrophages, myofibroblasts, matrix, mechanics, and miscommunication
Pakshir, P., & Hinz, B. (2018) · Matrix Biology · doi:10.1016/j.matbio.2018.01.019 · Cited by 396
Self-citationPakshir, P., Noskovicova, N., Lodyga, M., Son, D. O., Schuster, R., Goodwin, A., Karvonen, H., & Hinz, B. (2020) · Journal of Cell Science · doi:10.1242/jcs.227900 · Cited by 293
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Metadata
- Authors
- Walraven, M., & Hinz, B.
- Venue
- Matrix Biology
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 71-72
- Pages
- 205-224
- ISSN
- 0945-053X (ISSN-L)
- OpenAlex
- W2793027246
- Cited by
- 191
- References
- 35
- FWCI
- 22.39
- 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).
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