The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Non-Transgenic Mouse Models of Kidney Disease
Open accessAbstract
Animal models are essential tools to understand the mechanisms underlying the development and progression of renal disease and to study potential therapeutic approaches. Recently, interventional models suitable to induce acute and chronic kidney disease in the mouse have become a focus of interest due to the wide availability of genetically engineered mouse lines. These models differ by their damaging mechanism (cell toxicity, immune mechanisms, surgical renal mass reduction, ischemia, hypertension, ureter obstruction etc.), functional and histomorphological phenotype and disease evolution. The susceptibility to a damaging mechanism often depends on strain and gender. The C57BL/6 strain, the most commonly used genetic background of transgenic mice, appears to be relatively resistant against developing glomerulosclerosis, proteinuria and hypertension. This review serves to provide a comprehensive overview of interventional mouse models of acute and chronic kidney disease.
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Cites
Atypical Hemolytic–Uremic Syndrome
Noris, M., & Remuzzi, G. (2009) · New England Journal of Medicine · doi:10.1056/nejmra0902814 · Cited by 1,338
Ureteral obstruction as a model of renal interstitial fibrosis and obstructive nephropathy
Chevalier, R. L., Forbes, M. S., & Thornhill, B. A. (2009) · Kidney International · doi:10.1038/ki.2009.86 · Cited by 1,029
Atypical hemolytic uremic syndrome
Loirat, C., & Frémeaux-Bacchi, V. (2011) · Orphanet Journal of Rare Diseases · doi:10.1186/1750-1172-6-60 · Cited by 669
Identification of the Goodpasture antigen as the alpha 3(IV) chain of collagen IV.
Saus, J., Wieslander, J., Langeveld, J. P., Quinones, S., & Hudson, B. G. (1988) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)37714-7 · Cited by 459
Acute kidney injury due to rhabdomyolysis and renal replacement therapy: a critical review
Petejova, N., & Martinek, A. (2014) · Critical Care · doi:10.1186/cc13897 · Cited by 444
Diabetic Endothelial Nitric Oxide Synthase Knockout Mice Develop Advanced Diabetic Nephropathy
Nakagawa, T., Sato, W., Glushakova, O., Heinig, M., Clarke, T., Campbell-Thompson, M., Yuzawa, Y., Atkinson, M. A., Johnson, R. J., & Croker, B. (2007) · Journal of the American Society of Nephrology · doi:10.1681/asn.2006050459 · Cited by 370
Progressive adriamycin nephropathy in mice: Sequence of histologic and immunohistochemical events
Wang, Y., Wang, Y. P., Tay, Y.-C., & Harris, D. C. H. (2000) · Kidney International · doi:10.1046/j.1523-1755.2000.00342.x · Cited by 326
Mouse model of ischemic acute kidney injury: technical notes and tricks
Wei, Q., & Dong, Z. (2012) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00352.2012 · Cited by 303
Characterization of Susceptibility of Inbred Mouse Strains to Diabetic Nephropathy
Qi, Z., Fujita, H., Jin, J., Davis, L. S., Wang, Y., Fogo, A. B., & Breyer, M. D. (2005) · Diabetes · doi:10.2337/diabetes.54.9.2628 · Cited by 297
Impact of genetic background on nephropathy in diabetic mice
Gurley, S. B., Clare, S. E., Snow, K. P., Hu, A., Meyer, T. W., & Coffman, T. M. (2006) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00204.2005 · Cited by 286
Cited by
Hartleben, B., Gödel, M., Meyer-Schwesinger, C., Liu, S., Ulrich, T., Köbler, S., Wiech, T., Grahammer, F., Arnold, S. J., Lindenmeyer, M. T., et al. (2010) · Journal of Clinical Investigation · doi:10.1172/jci39492 · Cited by 721
Khoshnoodi, J., Pedchenko, V., & Hudson, B. G. (2008) · Microscopy Research and Technique · doi:10.1002/jemt.20564 · Cited by 668
Targeting metabolic dysregulation for fibrosis therapy
Zhao, X., Kwan, J. Y. Y., Yip, K., Liu, P. P., & Liu, F.-F. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0040-5 · Cited by 513
Complement in Immune and Inflammatory Disorders: Pathophysiological Mechanisms
Ricklin, D., & Lambris, J. D. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1203487 · Cited by 478
Natarajan, N., Hori, D., Flavahan, S., Steppan, J., Flavahan, N. A., Berkowitz, D. E., & Pluznick, J. L. (2016) · Physiological Genomics · doi:10.1152/physiolgenomics.00089.2016 · Cited by 441
Metadata
- Authors
- Rabe, M., & Schaefer, F.
- Venue
- Nephron
- Publisher
- S. Karger AG
- Published
- 2016
- Volume
- 133
- Issue
- 1
- Pages
- 53-61
- ISSN
- 1660-8151 (ISSN-L)
- 2235-3186
- OpenAlex
- W2405183840
- Cited by
- 1,922
- References
- 38
- FWCI
- 172.96
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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