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Cited by 543

The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.

Targeting TGF-β Mediated SMAD Signaling for the Prevention of Fibrosis

Open access
Walton, Kelly L., Johnson, Katharine E., Harrison, Craig A.·2017·Frontiers in Pharmacology

Abstract

Fibrosis occurs when there is an imbalance in extracellular matrix (ECM) deposition and degradation. Excessive ECM deposition results in scarring and thickening of the affected tissue, and interferes with tissue and organ homeostasis - mimicking an exaggerated "wound healing" response. Many transforming growth factor-β (TGF-β) ligands are potent drivers of ECM deposition, and additionally, have a natural affinity for the ECM, creating a concentrated pool of pro-fibrotic factors at the site of injury. Consequently, TGF-β ligands are upregulated in many human fibrotic conditions and, as such, are attractive targets for fibrosis therapy. Here, we will discuss the contribution of TGF-β proteins in the pathogenesis of fibrosis, and promising anti-fibrotic approaches that target TGF-β ligands.

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Crossref · 10.3389/fphar.2017.00461

Cites

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Citations

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Metadata

Authors
Walton, K. L., Johnson, K. E., & Harrison, C. A.
Venue
Frontiers in Pharmacology
Published
2017-07-14
Volume
8
Pages
461-461
ISSN
1663-9812 (ISSN-L)
OpenAlex
W2735790845
Cited by
543
References
120
FWCI
13.98
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Targeting TGF-β Mediated SMAD Signaling for the Prevention of Fibrosis. https://app.cochat.ai/papers/10.3389/fphar.2017.00461
The paper
Walton, K. L., Johnson, K. E., & Harrison, C. A. (2017). Targeting TGF-β Mediated SMAD Signaling for the Prevention of Fibrosis. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2017.00461

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.