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MicroRNA‐320 EXPRESSION IN MYOCARDIAL MICROVASCULAR ENDOTHELIAL CELLS AND ITS RELATIONSHIP WITH INSULIN‐LIKE GROWTH FACTOR‐1 IN TYPE 2 DIABETIC RATS
Abstract
SUMMARY: The aim of the present study was to determine the role of myocardial microvascular endothelial cells (MMVEC) in impaired angiogenesis of type 2 diabetic Goto‐Kakizaki (GK) rats. A microRNA (miRNA) microarray was used to assess miRNA expression in MMVEC from GK and Wistar rats. Upregulation of miRNA‐320 was observed in MMVEC from GK rats using real‐time reverse transcription–polymerase chain reaction (RT‐PCR). So far, nine miRNAs have been reported to target angiogenic factors and/or receptors, including kinase insert domain containing receptor (Flk‐1), insulin‐like growth factor 1 (IGF‐1) and insulin‐like growth factor 1 receptor (IGF‐1R). The predicted genes targeted by miR‐320 include Flk‐1, IGF‐1 and IGF‐1R. Western blot analysis and RT‐PCR were used to analyse the protein and mRNA expression, respectively, of the putative genes IGF‐1 and IGF‐1R. The expression of IGF‐1 and IGF‐1R proteins decreased significantly in diabetic MMVEC. However, the expression of IGF‐1 mRNA increased rather than decreased. The mRNA expression of IGF‐1R did not differ significantly between diabetic and control MMVEC. Transfection of an miR‐320 inhibitor into MMVEC from GK rats confirmed that miR‐320 impaired angiogenesis. The proliferation and migration of diabetic MMVEC improved after transfection of the miR‐320 inhibitor. In addition, the miR‐320 inhibitor significantly increased the expression of IGF‐1 protein, but had no effect on the expression of IGF‐1R. Eleven miRNAs were upregulated in MMVEC from GK rats compared with those in Wistar rats: let‐7e, miR‐129, miR‐291‐5p, miR‐320, miR‐327, mir‐333, miR‐363–5p, miR‐370, miR‐494, miR‐503 and miR‐664. The results indicate that upregulation of miR‐320 in MMVEC from GK rats may be responsible for the inconsistency between the expression of IGF‐1 protein and mRNA and therefore related to impaired angiogenesis in diabetes. Transfection of an miR‐320 inhibitor may be a therapeutic approach for the treatment of impaired angiogenesis in diabetes.
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“Hyperglycemia increases the expression of several microRNAs found in the endothelium, including miR-320, miR-221, miR-503, and miR-125b.”
From The Vasculature in Prediabetes (2018) · cites this paper as [144]
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Cites
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Prediction of Mammalian MicroRNA Targets
Lewis, B. P., Shih, I.-H., Jones-Rhoades, M. W., Bartel, D. P., & Burge, C. B. (2003) · Cell · doi:10.1016/s0092-8674(03)01018-3 · Cited by 5,199
The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans
Reinhart, B. J., Slack, F. J., Basson, M., Pasquinelli, A. E., Bettinger, J. C., Rougvie, A. E., Horvitz, H. R., & Ruvkun, G. (2000) · Nature · doi:10.1038/35002607 · Cited by 4,989
Combinatorial microRNA target predictions
Krek, A., Grün, D., Poy, M. N., Wolf, R., Rosenberg, L., Epstein, E. J., MacMenamin, P., da Piedade, I., Gunsalus, K. C., Stoffel, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1536 · Cited by 4,603
MicroRNA Gene Expression Deregulation in Human Breast Cancer
Iorio, M. V., Ferracin, M., Liu, C.-G., Veronese, A., Spizzo, R., Sabbioni, S., Magri, E., Pedriali, M., Fabbri, M., Campiglio, M., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.can-05-1783 · Cited by 4,053
John, B., Enright, A. J., Aravin, A., Tuschl, T., Sander, C., & Marks, D. S. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020363 · Cited by 3,796
MicroRNAs Modulate Hematopoietic Lineage Differentiation
Chen, C.-Z., Li, L., Lodish, H. F., & Bartel, D. P. (2004) · Science · doi:10.1126/science.1091903 · Cited by 3,257
The role of microRNA-1 and microRNA-133 in skeletal muscle proliferation and differentiation
Chen, J., Mandel, E. M., Thomson, J. M., Wu, Q., Callis, T. E., Hammond, S. M., Conlon, F. L., & Wang, D.-Z. (2005) · Nature Genetics · doi:10.1038/ng1725 · Cited by 2,807
Research works printed but not linked: 1
- Ning YX, 2005, Study on the cytological characteristics of rat myocardium microvascular endothelial cells in culture of primary passage by microarray, Chin. J. Pathophysiol, 21, 2295
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Evans, R. G. (2011) · Clinical and Experimental Pharmacology and Physiology · doi:10.1111/j.1440-1681.2011.05646.x
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Metadata
- Authors
- Wang, X., Qian, R., Zhang, W., Chen, S., Jin, H., & Hu, R.
- Affiliations
- Shanghai Medical College of Fudan University (CN)
- ORCID
- Chen, SF
- Venue
- Clinical and Experimental Pharmacology and Physiology
- Publisher
- Wiley
- Published
- 2009-01-27
- Volume
- 36
- Issue
- 2
- Pages
- 181-188
- ISSN
- 0305-1870 (ISSN-L)
- 1440-1681
- OpenAlex
- W2042150160
- Cited by
- 271
- References
- 38
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 8 · 2023: 5 · 2022: 8 · 2021: 15 · 2020: 9 · 2019: 15 · 2018: 18 · 2017: 28 · 2016: 7 · 2015: 17 · 2014: 28 · 2013: 26 · 2012: 24
- FWCI
- 5.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical and Experimental Pharmacology and Physiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Angiogenesis and VEGF in Cancer
- Health Sciences › Medicine › Physiology (medical) › Nitric Oxide and Endothelin Effects
- Keywords
- type 2 diabetes, insulin-like growth factor I, IGF-1 receptor, impaired angiogenesis, Goto-Kakizaki rats, miRNA expression profiling, endothelial cell proliferation and migration, let-7e, miR-129, miR-370
- MeSH terms
- Animals, Cells, Cultured, Coronary Vessels, Diabetes Mellitus, Experimental, Diabetes Mellitus, Type 2, Insulin-Like Growth Factor I, Myocardium, Transfection, Up-Regulation, Rats, Wistar, Neovascularization, Physiologic, Reverse Transcriptase Polymerase Chain Reaction, MicroRNAs, Endothelial Cells, Microarray Analysis, Rats, Microvessels
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