The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Mechanisms of Renal Fibrosis
Open accessAbstract
Tubulointerstitial fibrosis is a chronic and progressive process affecting kidneys during aging and in chronic kidney disease (CKD), regardless of cause. CKD and renal fibrosis affect half of adults above age 70 and 10% of the world's population. Although no targeted therapy yet exists to slow renal fibrosis, a number of important recent advances have clarified the cellular and molecular mechanisms underlying the disease. In this review, I highlight these advances with a focus on cells and pathways that may be amenable to therapeutic targeting. I discuss pathologic changes regulating interstitial myofibroblast activation, including profibrotic and proinflammatory paracrine signals secreted by epithelial cells after either acute or chronic injury. I conclude by highlighting novel therapeutic targets and approaches with particular promise for development of new treatments for patients with fibrotic kidney disease.
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
Takahashi, K., & Yamanaka, S. (2006) · Cell · doi:10.1016/j.cell.2006.07.024 · Cited by 26,673
Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization
Go, A. S., Chertow, G. M., Fan, D., McCulloch, C. E., & Hsu, C.-Y. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041031 · Cited by 11,369
Prevalence of Chronic Kidney Disease in the United States
Coresh, J., Selvin, E., Stevens, L. A., Manzi, J., Kusek, J. W., Eggers, P., Van Lente, F., & Levey, A. S. (2007) · JAMA · doi:10.1001/jama.298.17.2038 · Cited by 4,895
Cellular and molecular mechanisms of fibrosis
Wynn, T. (2008) · The Journal of Pathology · doi:10.1002/path.2277 · Cited by 4,495
Clearance of p16Ink4a-positive senescent cells delays ageing-associated disorders
Baker, D. J., Wijshake, T., Tchkonia, T., LeBrasseur, N. K., Childs, B. G., van de Sluis, B., Kirkland, J. L., & van Deursen, J. M. (2011) · Nature · doi:10.1038/nature10600 · Cited by 3,670
Naturally occurring p16Ink4a-positive cells shorten healthy lifespan
Baker, D. J., Childs, B. G., Durik, M., Wijers, M. E., Sieben, C. J., Zhong, J., A. Saltness, R., Jeganathan, K. B., Verzosa, G. C., Pezeshki, A., et al. (2016) · Nature · doi:10.1038/nature16932 · Cited by 2,876
The role of senescent cells in ageing
van Deursen, J. M. (2014) · Nature · doi:10.1038/nature13193 · Cited by 2,623
Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors
Villani, A.-C., Satija, R., Reynolds, G., Sarkizova, S., Shekhar, K., Fletcher, J., Griesbeck, M., Butler, A., Zheng, S., Lazo, S., et al. (2017) · Science · doi:10.1126/science.aah4573 · Cited by 2,413
WNT and β-catenin signalling: diseases and therapies
Moon, R. T., Kohn, A. D., Ferrari, G. V. D., & Kaykas, A. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1427 · Cited by 1,763
Cellular senescence mediates fibrotic pulmonary disease
Schafer, M. J., White, T. A., Iijima, K., Haak, A. J., Ligresti, G., Atkinson, E. J., Oberg, A. L., Birch, J., Salmonowicz, H., Zhu, Y., et al. (2017) · Nature Communications · doi:10.1038/ncomms14532 · Cited by 1,613
Cited by
Wu, H., Kirita, Y., Donnelly, E. L., & Humphreys, B. D. (2019) · Journal of the American Society of Nephrology · doi:10.1681/asn.2018090912 · Cited by 752
Self-citationA small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models
Ren, F., Aliper, A., Chen, J., Zhao, H., Rao, S., Kuppe, C., Ozerov, I. V., Zhang, M., Witte, K., Kruse, C., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-024-02143-0 · Cited by 348
“…in the final stage of chronic organ deficiencies, such as pulmonary, kidney or liver diseases and is characterized by excessive proliferation of matrix-producing cells that arise from dysregulated chronic inflammation triggered by infective, chemical, autoimmune or radioactive tissue damage 16,17 .”
Cao, J.-Y., Wang, B., Tang, T.-T., Wen, Y., Li, Z.-L., Feng, S.-T., Wu, M., Liu, D., Yin, D., Ma, K.-L., et al. (2021) · Theranostics · doi:10.7150/thno.54550 · Cited by 303
TGF‐β as a driver of fibrosis: physiological roles and therapeutic opportunities
Budi, E. H., Schaub, J. R., Decaris, M., Turner, S., & Derynck, R. (2021) · The Journal of Pathology · doi:10.1002/path.5680 · Cited by 292
Immune cells and inflammation in AKI to CKD progression
Sato, Y., & Yanagita, M. (2018) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00195.2018 · Cited by 273
Metadata
- Authors
- Humphreys, B. D.
- Venue
- Annual Review of Physiology
- Publisher
- Annual Reviews
- Published
- 2018-02-10
- Volume
- 80
- Issue
- 1
- Pages
- 309-326
- ISSN
- 0066-4278 (ISSN-L)
- 1545-1585
- OpenAlex
- W2621172390
- Cited by
- 1,231
- References
- 17
- FWCI
- 8.42
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Mechanisms of Renal Fibrosis. https://app.cochat.ai/papers/10.1146/annurev-physiol-022516-034227
- The paper
- Humphreys, B. D. (2018). Mechanisms of Renal Fibrosis. Annual Review of Physiology. https://doi.org/10.1146/annurev-physiol-022516-034227
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.
