The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Inhibiting MicroRNA-192 Ameliorates Renal Fibrosis in Diabetic Nephropathy
Open accessAbstract
TGF-β1 upregulates microRNA-192 (miR-192) in cultured glomerular mesangial cells and in glomeruli from diabetic mice. miR-192 not only increases collagen expression by targeting the E-box repressors Zeb1/2 but also modulates other renal miRNAs, suggesting that it may be a therapeutic target for diabetic nephropathy. We evaluated the efficacy of a locked nucleic acid (LNA)-modified inhibitor of miR-192, designated LNA-anti-miR-192, in mouse models of diabetic nephropathy. LNA-anti-miR-192 significantly reduced levels of miR-192, but not miR-194, in kidneys of both normal and streptozotocin-induced diabetic mice. In the kidneys of diabetic mice, inhibition of miR-192 significantly increased Zeb1/2 and decreased gene expression of collagen, TGF-β, and fibronectin; immunostaining confirmed the downregulation of these mediators of renal fibrosis. Furthermore, LNA-anti-miR-192 attenuated proteinuria in these diabetic mice. In summary, the specific reduction of renal miR-192 decreases renal fibrosis and improves proteinuria, lending support for the possibility of an anti-miRNA-based translational approach to the treatment of diabetic nephropathy.
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1 retracted
Pichiorri, F., Suh, S.-S., Rocci, A., De Luca, L., Taccioli, C., Santhanam, R., Zhou, W., Benson, D. M., Hofmainster, C., Alder, H., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.09.005 · Cited by 436
RetractedSilencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949
Gregory, P. A., Bert, A. G., Paterson, E. L., Barry, S. C., Tsykin, A., Farshid, G., Vadas, M. A., Khew-Goodall, Y., & Goodall, G. J. (2008) · Nature Cell Biology · doi:10.1038/ncb1722 · Cited by 3,863
A pancreatic islet-specific microRNA regulates insulin secretion
Poy, M. N., Eliasson, L., Krutzfeldt, J., Kuwajima, S., Ma, X., MacDonald, P. E., Pfeffer, S., Tuschl, T., Rajewsky, N., Rorsman, P., et al. (2004) · Nature · doi:10.1038/nature03076 · Cited by 2,102
LNA-mediated microRNA silencing in non-human primates
Elmén, J., Lindow, M., Schütz, S., Lawrence, M., Petri, A., Obad, S., Lindholm, M., Hedtjärn, M., Hansen, H. F., Berger, U., et al. (2008) · Nature · doi:10.1038/nature06783 · Cited by 1,589
miRNAs, Cancer, and Stem Cell Division
Croce, C. M., & Calin, G. A. (2005) · Cell · doi:10.1016/j.cell.2005.06.036 · Cited by 1,329
MicroRNA control of signal transduction
Inui, M., Martello, G., & Piccolo, S. (2010) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2868 · Cited by 1,272
Yamamoto, T., Nakamura, T., Noble, N. A., Ruoslahti, E., & Border, W. A. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.5.1814 · Cited by 830
A Mutant-p53/Smad Complex Opposes p63 to Empower TGFβ-Induced Metastasis
Adorno, M., Cordenonsi, M., Montagner, M., Dupont, S., Wong, C., Hann, B., Solari, A., Bobisse, S., Rondina, M. B., Guzzardo, V., et al. (2009) · Cell · doi:10.1016/j.cell.2009.01.039 · Cited by 782
Kato, M., Zhang, J., Wang, M., Lanting, L., Yuan, H., Rossi, J. J., & Natarajan, R. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0611192104 · Cited by 699
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Cited by
MicroRNA therapeutics: towards a new era for the management of cancer and other diseases
Rupaimoole, R., & Slack, F. J. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.246 · Cited by 4,741
TGF-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
Fibrosis–a common pathway to organ injury and failure
Rockey, D. C., Bell, P. D., & Hill, J. A. (2015) · New England Journal of Medicine · doi:10.1056/nejmra1300575 · Cited by 1,428
TGF-β/Smad signaling in renal fibrosis
Meng, X.-M., Tang, P. M.-K., Li, J., & Lan, H. Y. (2015) · Frontiers in Physiology · doi:10.3389/fphys.2015.00082 · Cited by 666
Epigenetics and epigenomics in diabetic kidney disease and metabolic memory
Kato, M., & Natarajan, R. (2019) · Nature Reviews Nephrology · doi:10.1038/s41581-019-0135-6 · Cited by 600
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Metadata
- Authors
- Putta, S., Lanting, L., Sun, G., Lawson, G., Kato, M., & Natarajan, R.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2012-03
- Volume
- 23
- Issue
- 3
- Pages
- 458-469
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2097628596
- Cited by
- 368
- References
- 48
- FWCI
- 28.22
- Type
- journal article
- Language
- en
- Open access
- green
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