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 accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Presser, L., McRae, S., & Waris, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056367 · Cited by 79
RetractedTGF-β: the master regulator of fibrosis
Meng, X.-M., Nikolic-Paterson, D. J., & Lan, H. Y. (2016) · Nature Reviews Nephrology · doi:10.1038/nrneph.2016.48 · Cited by 3,528
Roberts, A. B., Sporn, M. B., Assoian, R. K., Smith, J. M., Roche, N. S., Wakefield, L. M., Heine, U. I., Liotta, L. A., Falanga, V, & Kehrl, J. H. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.12.4167 · Cited by 2,866
Ignotz, R. A., & Massagué, J. (1986) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)35666-1 · Cited by 2,492
Pirfenidone in patients with idiopathic pulmonary fibrosis (CAPACITY): two randomised trials
Noble, P. W., Albera, C., Bradford, W. Z., Costabel, U., Glassberg, M. K., Kardatzke, D., King, T. E., Lancaster, L., Sahn, S. A., Szwarcberg, J., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60405-4 · Cited by 2,154
Munger, J. S., Huang, X., Kawakatsu, H., Griffiths, M. J. D., Dalton, S. L., Wu, J., Pittet, J.-F., Kaminski, N., Garat, C., Matthay, M. A., et al. (1999) · Cell · doi:10.1016/s0092-8674(00)80545-0 · Cited by 2,076
Dennler, S. (1998) · The EMBO Journal · doi:10.1093/emboj/17.11.3091 · Cited by 1,793
Inman, G. J., Nicolás, F. J., Callahan, J. F., Harling, J. D., Gaster, L. M., Reith, A. D., Laping, N. J., & Hill, C. S. (2002) · Molecular Pharmacology · doi:10.1124/mol.62.1.65 · Cited by 1,634
The myofibroblast in wound healing and fibrocontractive diseases
Gabbiani, G. (2003) · The Journal of Pathology · doi:10.1002/path.1427 · Cited by 1,630
Targeting the TGFβ signalling pathway in disease
Akhurst, R. J., & Hata, A. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3810 · Cited by 1,466
Cited by
Skeletal muscle fibrosis: an overview
Mahdy, M. A. A. (2019) · Cell and Tissue Research · doi:10.1007/s00441-018-2955-2 · Cited by 363
Chen, L., Yang, T., Lu, D.-W., Zhao, H., Feng, Y.-L., Chen, H., Chen, D.-Q., Vaziri, N. D., & Zhao, Y.-Y. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.02.090 · Cited by 359
Time to redefine endometriosis including its pro-fibrotic nature
Vigano, P., Candiani, M., Monno, A., Giacomini, E., Vercellini, P., & Somigliana, E. (2018) · Human Reproduction · doi:10.1093/humrep/dex354 · Cited by 235
Hyaluronan synthase 2–mediated hyaluronan production mediates Notch1 activation and liver fibrosis
Yang, Y. M., Noureddin, M., Liu, C., Ohashi, K., Kim, S. Y., Ramnath, D., Powell, E. E., Sweet, M. J., Roh, Y. S., Hsin, I.-F., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aat9284 · Cited by 166
Guo, S.-W. (2018) · Human Reproduction · doi:10.1093/humrep/dey015 · Cited by 116
Metadata
- Authors
- Walton, K. L., Johnson, K. E., & Harrison, C. A.
- Venue
- Frontiers in Pharmacology
- Publisher
- Frontiers Media SA
- 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
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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.