The DOI matches its Crossref record; 172 of the 172 references it cites were found in a registry or an index.
Genetic mechanisms and signaling pathways in autosomal dominant polycystic kidney disease
Open accessAbstract
Recent advances in defining the genetic mechanisms of disease causation and modification in autosomal dominant polycystic kidney disease (ADPKD) have helped to explain some extreme disease manifestations and other phenotypic variability. Studies of the ADPKD proteins, polycystin-1 and -2, and the development and characterization of animal models that better mimic the human disease, have also helped us to understand pathogenesis and facilitated treatment evaluation. In addition, an improved understanding of aberrant downstream pathways in ADPKD, such as proliferation/secretion-related signaling, energy metabolism, and activated macrophages, in which cAMP and calcium changes may play a role, is leading to the identification of therapeutic targets. Finally, results from recent and ongoing preclinical and clinical trials are greatly improving the prospects for available, effective ADPKD treatments.
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1 retracted
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Self-citationAutosomal dominant polycystic kidney disease
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Wang, S., Livingston, M. J., Su, Y., & Dong, Z. (2015) · Autophagy · doi:10.1080/15548627.2015.1023983 · Cited by 140
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Li, A., Fan, S., Xu, Y., Meng, J., Shen, X., Mao, J., Zhang, L., Zhang, X., Moeckel, G., Wu, D., et al. (2017) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.13091 · Cited by 42
Activation of polycystin-1 signaling by binding of stalk-derived peptide agonists
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Metadata
- Authors
- Harris, P. C., & Torres, V. E.
- Venue
- Journal of Clinical Investigation
- Published
- 2014-06-02
- Volume
- 124
- Issue
- 6
- Pages
- 2315-2324
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2053062434
- Cited by
- 338
- References
- 172
- FWCI
- 18.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
