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TGF‐β as a driver of fibrosis: physiological roles and therapeutic opportunities
Abstract
Many chronic diseases are marked by fibrosis, which is defined by an abundance of activated fibroblasts and excessive deposition of extracellular matrix, resulting in loss of normal function of the affected organs. The initiation and progression of fibrosis are elaborated by pro‐fibrotic cytokines, the most critical of which is transforming growth factor‐β1 (TGF‐β1). This review focuses on the fibrogenic roles of increased TGF‐β activities and underlying signaling mechanisms in the activated fibroblast population and other cell types that contribute to progression of fibrosis. Insight into these roles and mechanisms of TGF‐β as a universal driver of fibrosis has stimulated the development of therapeutic interventions to attenuate fibrosis progression, based on interference with TGF‐β signaling. Their promise in preclinical and clinical settings will be discussed. © 2021 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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Myofibroblast repair mechanisms post-inflammatory response: a fibrotic perspective
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“Its increased signalling not only affects the activated fibroblast population but also influences other cell types that actively contribute to the progression of IPF (Budi et al., 2021).”
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Metadata
- Authors
- Budi, E. H., Schaub, J. R., Decaris, M., Turner, S., & Derynck, R.
- Venue
- The Journal of Pathology
- Publisher
- Wiley
- Published
- 2021-05-19
- Volume
- 254
- Issue
- 4
- Pages
- 358-373
- ISSN
- 0022-3417 (ISSN-L)
- 1096-9896
- OpenAlex
- W3149662796
- Cited by
- 292
- References
- 221
- FWCI
- 10.87
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.