The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Necessary Role of miR-221 and miR-222 in Vascular Smooth Muscle Cell Proliferation and Neointimal Hyperplasia
Open accessAbstract
MicroRNAs (miRNAs) comprise a novel class of endogenous, small, noncoding RNAs that negatively regulate gene expression. Functionally, an individual miRNA is as important as a transcription factor because it is able to regulate the expression of its multiple target genes. Recently, miR-221 and miR-222 have been found to play a critical role in cancer cell proliferation. However, their roles in vascular smooth muscle cell (VSMC) biology are currently unknown. In the present study, the time course changes and cellular distribution of miR-221 and miR-222 expression were identified in rat carotid arteries after angioplasty, in which their expression was upregulated and localized in VSMCs in the injured vascular walls. In cultured VSMCs, miR-221 and miR-222 expression was increased by growth stimulators. Knockdown of miR-221 and miR-222 resulted in decreased VSMC proliferation in vitro. Using both gain-of-function and loss-of-function approaches, we found that p27(Kip1) and p57(Kip2) were 2 target genes that were involved in miR-221– and miR-222–mediated effect on VSMC growth. Finally, knockdown of miR-221 and miR-222 in rat carotid arteries suppressed VSMC proliferation in vivo and neointimal lesion formation after angioplasty. The results indicate that miR-221 and miR-222 are novel regulators for VSMC proliferation and neointimal hyperplasia. These findings may also represent promising therapeutic targets in proliferative vascular diseases.
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Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
The functions of animal microRNAs
Ambros, V. (2004) · Nature · doi:10.1038/nature02871 · Cited by 10,728
The Widespread Impact of Mammalian MicroRNAs on mRNA Repression and Evolution
Farh, K. K.-H., Grimson, A., Jan, C., Lewis, B. P., Johnston, W. K., Lim, L. P., Burge, C. B., & Bartel, D. P. (2005) · Science · doi:10.1126/science.1121158 · Cited by 1,484
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Wang (2012) · doi:10.1161/circresaha.111.261388 · Cited by 957
Sedding, D. G., Boyle, E. C., Demandt, J. A. F., Sluimer, J. C., Dutzmann, J., Haverich, A., & Bauersachs, J. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00706 · Cited by 228
MicroRNA therapeutics in cardiovascular medicine
Thum, T. (2012) · EMBO Molecular Medicine · doi:10.1002/emmm.201100191 · Cited by 193
Villeneuve, L. M., Kato, M., Reddy, M. A., Wang, M., Lanting, L., & Natarajan, R. (2010) · Diabetes · doi:10.2337/db10-0208 · Cited by 186
MicroRNAs and cardiovascular diseases
Ono, K., Kuwabara, Y., & Han, J. (2011) · The FEBS Journal · doi:10.1111/j.1742-4658.2011.08090.x · Cited by 169
Mitochondrial damage-associated molecular patterns and vascular function
Wenceslau, C. F., McCarthy, C. G., Szasz, T., Spitler, K., Goulopoulou, S., Webb, R. C., & Working Group on DAMPs in Cardiovascular Disease (2014) · European Heart Journal · doi:10.1093/eurheartj/ehu047 · Cited by 135
Investigation of MicroRNA Expression in Human Serum During the Aging Process
Zhang, H., Yang, H., Zhang, C., Jing, Y., Wang, C., Liu, C., Zhang, R., Wang, J., Zhang, J., Zen, K., et al. (2015) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glu145 · Cited by 123
Self-citationTargeting vasa vasorum dysfunction to prevent atherosclerosis
Boyle, E. C., Sedding, D. G., & Haverich, A. (2017) · Vascular Pharmacology · doi:10.1016/j.vph.2017.08.003 · Cited by 60
Diabetes Mellitus Reveals Its Micro-Signature
Regazzi, R. (2010) · Circulation Research · doi:10.1161/circresaha.110.228841 · Cited by 12
Metadata
- Authors
- Liu, X., Cheng, Y., Zhang, S., Lin, Y., Yang, J., & Zhang, C.
- Venue
- Circulation Research
- Published
- 2009-02-27
- Volume
- 104
- Issue
- 4
- Pages
- 476-487
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W2005889517
- Cited by
- 553
- References
- 3
- FWCI
- 11.56
- Type
- journal article
- Language
- en
- Open access
- bronze
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