The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Diabetes Mellitus Reveals Its Micro-Signature
Abstract
With 285 millions individuals affected worldwide in2010 and more than 400 millions expected in 2030, diabetes mellitus is a major public health concern and a huge economic burden. This disease, characterized by chronic elevation of blood glucose levels, is frequently associated with micro- and macrovascular complications, putting dia-betic patients at risk for heart and renal failure, stroke, lower limb amputations, and blindness.1 In view of the dramatic impact of diabetes on public health, the definition of new methods predicting the manifestation of the disease and the occurrence of its debilitating complications deserves the highest priority. In this issue of Circulation Research, Zam-petaki et al report that a group of circulating RNA molecules belonging to the microRNA family is considerably less abundant in the blood of diabetes patients compared to normoglycemic individuals.2 Interestingly, a reduction in the
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“The drastic loss of circulating miR-126 may contribute to the development of microvascular and macrovascular complications of T2DM8.”
From MiR-126 Mediates Brain Endothelial Cell Exosome Treatment–Induced Neurorestorative Effects After Stroke in Type 2 Diabetes Mellitus Mice (2019) · cites this paper as [8]
Citations
Cites
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Circulating microRNAs as stable blood-based markers for cancer detection
Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969
Exosomes – vesicular carriers for intercellular communication
Simons, M., & Raposo, G. (2009) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2009.03.007 · Cited by 2,351
Islet cell failure in type 2 diabetes
Prentki, M. (2006) · Journal of Clinical Investigation · doi:10.1172/jci29103 · Cited by 1,690
miR-126 Regulates Angiogenic Signaling and Vascular Integrity
Fish, J. E., Santoro, M. M., Morton, S. U., Yu, S., Yeh, R.-F., Wythe, J. D., Ivey, K. N., Bruneau, B. G., Stainier, D. Y. R., & Srivastava, D. (2008) · Developmental Cell · doi:10.1016/j.devcel.2008.07.008 · Cited by 1,515
Delivery of MicroRNA-126 by Apoptotic Bodies Induces CXCL12-Dependent Vascular Protection
Zernecke, A., Bidzhekov, K., Noels, H., Shagdarsuren, E., Gan, L., Denecke, B., Hristov, M., Koeppel, T. A., Nazari-Jahantigh, M., Lutgens, E., et al. (2009) · Science Signaling · doi:10.1126/scisignal.2000610 · Cited by 1,376
Plasma MicroRNA Profiling Reveals Loss of Endothelial MiR-126 and Other MicroRNAs in Type 2 Diabetes
Zampetaki, A., Kiechl, S., Drozdov, I., Willeit, P., Mayr, U., Prokopi, M., Mayr, A., Weger, S., Oberhollenzer, F., Bonora, E., et al. (2010) · Circulation Research · doi:10.1161/circresaha.110.226357 · Cited by 1,283
Circulating MicroRNAs in Patients With Coronary Artery Disease
Fichtlscherer, S., Rosa, S. D., Fox, H., Schwietz, T., Fischer, A., Liebetrau, C., Weber, M. A., Hamm, C. W., Roexe, T., Müller-Ardogan, M., et al. (2010) · Circulation Research · doi:10.1161/circresaha.109.215566 · Cited by 1,245
Circulating microRNAs, potential biomarkers for drug-induced liver injury
Wang, K., Zhang, S., Marzolf, B., Troisch, P., Brightman, A., Hu, Z., Hood, L. E., & Galas, D. J. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0813371106 · Cited by 1,149
MicroRNA-126 regulates endothelial expression of vascular cell adhesion molecule 1
Harris-Tryon, T. A., Yamakuchi, M., Ferlito, M., Mendell, J. T., & Lowenstein, C. J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707493105 · Cited by 1,026
Duisters, R. F., Tijsen, A. J., Schroen, B., Leenders, J. J., Lentink, V., van der Made, I., Herias, V., van Leeuwen, R. E., Schellings, M. W., Barenbrug, P., et al. (2009) · Circulation Research · doi:10.1161/circresaha.108.182535 · Cited by 816
MiR423-5p As a Circulating Biomarker for Heart Failure
Tijsen, A. J., Creemers, E. E., Moerland, P. D., et al. (2010) · Circulation Research · doi:10.1161/circresaha.110.218297 · Cited by 675
Vascular complications in diabetes mellitus: the role of endothelial dysfunction
Schalkwijk, C. G., & Stehouwer, C. D. A. (2005) · Clinical Science · doi:10.1042/cs20050025 · Cited by 657
Cheng, Y., Liu, X., Yang, J., Lin, Y., Xu, D.-Z., Lu, Q., Deitch, E. A., Huo, Y., Delphin, E. S., & Zhang, C. (2009) · Circulation Research · doi:10.1161/circresaha.109.197517 · Cited by 657
Liu, X., Cheng, Y., Zhang, S., Lin, Y., Yang, J., & Zhang, C. (2009) · Circulation Research · doi:10.1161/circresaha.108.185363 · Cited by 553
Mechanisms of microRNA deregulation in human cancer
Deng, S., Calin, G. A., Croce, C. M., Coukos, G., & Zhang, L. (2008) · Cell Cycle · doi:10.4161/cc.7.17.6597 · Cited by 305
Population-Based Incidence Rates and Risk Factors for Type 2 Diabetes in White Individuals
Bonora, E., Kiechl, S. J., Willeit, J., Oberhollenzer, F., Egger, G., Meigs, J. B., Bonadonna, R. C., & Muggeo, M. (2004) · Diabetes · doi:10.2337/diabetes.53.7.1782 · Cited by 272
Serum microRNAs as powerful cancer biomarkers
Wittmann, J., & Jäck, H. (2010) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2010.07.002 · Cited by 257
Winer, N., & Sowers, J. R. (2004) · The Journal of Clinical Pharmacology · doi:10.1177/0091270004263017 · Cited by 231
MicroRNAs in Cardiovascular Biology and Heart Disease
Catalucci, D., Gallo, P., & Condorelli, G. (2009) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.109.857425 · Cited by 100
Role and therapeutic potential of microRNAs in diabetes
Kolfschoten, I., Roggli, E., Nesca, V., & Regazzi, R. (2009) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2009.01118.x · Cited by 71
Self-citationDavidson, M., Hu, T., Sain, G., Hoar, B. M., Stevenson, C., & Hoogwerf, B. J. (2008) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2008.00912.x · Cited by 10
Cited by
Venkat, P., Cui, C., Chopp, M., Zacharek, A., Wang, F., Landschoot-Ward, J., Shen, Y., & Chen, J. (2019) · Stroke · doi:10.1161/strokeaha.119.025371 · Cited by 172
Chen, J., Ning, R., Zacharek, A., Cui, C., Cui, X., Yan, T., Venkat, P., Zhang, Y., & Chopp, M. (2016) · Stem Cells · doi:10.1002/stem.2193 · Cited by 58
Metadata
- Authors
- Regazzi, R.
- Affiliations
- From the Department of Cell Biology and Morphology, University of Lausanne, Switzerland.
- Venue
- Circulation Research
- Published
- 2010-09-17
- Volume
- 107
- Issue
- 6
- Pages
- 686-688
- ISSN
- 0009-7330
- 1524-4571
- Cited by
- 12
- References
- 22
- Language
- en
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