The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
MiR423-5p As a Circulating Biomarker for Heart Failure
Open accessAbstract
Rationale : Aberrant expression profiles of circulating microRNAs (miRNAs) have been described in various diseases and provide high sensitivity and specificity. We explored circulating miRNAs as potential biomarkers in patients with heart failure (HF). Objective : The goal of this study was to determine whether miRNAs allow to distinguish clinical HF not only from healthy controls but also from non-HF forms of dyspnea. Methods and Results : A miRNA array was performed on plasma of 12 healthy controls and 12 HF patients. From this array, we selected 16 miRNAs for a second clinical study in 39 healthy controls and in 50 cases with reports of dyspnea, of whom 30 were diagnosed with HF and 20 were diagnosed with dyspnea attributable to non–HF-related causes. This revealed that miR423-5p was specifically enriched in blood of HF cases and receiver-operator-characteristics (ROC) curve analysis showed miR423-5p to be a diagnostic predictor of HF, with an area under the curve of 0.91 ( P <0.001). Five other miRNAs were elevated in HF cases but also slightly increased in non-HF dyspnea cases. Conclusion : We identify 6 miRNAs that are elevated in patients with HF, among which miR423-5p is most strongly related to the clinical diagnosis of HF. These 6 circulating miRNAs provide attractive candidates as putative biomarkers for HF.
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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
Januzzi, J. L., van Kimmenade, R., Lainchbury, J., Bayes-Genis, A., Ordonez-Llanos, J., Santalo-Bel, M., Pinto, Y. M., & Richards, M. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehi631 · Cited by 1,169
Self-citationMicroRNAs in the Human Heart: A Clue to Fetal Gene Reprogramming in Heart Failure
Thum, T., Galuppo, P., Wolf, C., Fiedler, J., Kneitz, S., van Laake, L. W., Doevendans, P. A., Mummery, C. L., Borlak, J., Haverich, A., et al. (2007) · Circulation · doi:10.1161/circulationaha.107.687947 · Cited by 888
MicroRNAs: powerful new regulators of heart disease and provocative therapeutic targets
van Rooij, E., & Olson, E. N. (2007) · Journal of Clinical Investigation · doi:10.1172/jci33099 · Cited by 553
Circulating microRNA-1 as a potential novel biomarker for acute myocardial infarction
Ai, J., Zhang, R., Li, Y., Pu, J., Lu, Y., Jiao, J., Li, K., Yu, B., Li, Z., Wang, R., et al. (2010) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2009.11.005 · Cited by 529
Plasma miR-208 as a Biomarker of Myocardial Injury
Ji, X., Takahashi, R., Hiura, Y., Hirokawa, G., Fukushima, Y., & Iwai, N. (2009) · Clinical Chemistry · doi:10.1373/clinchem.2009.125310 · Cited by 476
Many novel mammalian microRNA candidates identified by extensive cloning and RAKE analysis
Berezikov, E., van Tetering, G., Verheul, M., van de Belt, J., van Laake, L., Vos, J., Verloop, R., van de Wetering, M., Guryev, V., Takada, S., et al. (2006) · Genome Research · doi:10.1101/gr.5159906 · Cited by 273
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Mendell, J. T., & Olson, E. N. (2012) · Cell · doi:10.1016/j.cell.2012.02.005 · Cited by 1,673
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 MicroRNA-208b and MicroRNA-499 Reflect Myocardial Damage in Cardiovascular Disease
Corsten, M. F., Dennert, R., Jochems, S., Kuznetsova, T., Devaux, Y., Hofstra, L., Wagner, D. R., Staessen, J. A., Heymans, S., & Schroen, B. (2010) · Circulation: Cardiovascular Genetics · doi:10.1161/circgenetics.110.957415 · Cited by 794
miRNAS in cardiovascular diseases: potential biomarkers, therapeutic targets and challenges
Zhou, S.-S., Jin, J.-P., Wang, J.-Q., Zhang, Z.-G., Freedman, J. H., Zheng, Y., & Cai, L. (2018) · Acta Pharmacologica Sinica · doi:10.1038/aps.2018.30 · Cited by 675
Extracellular microRNA: A new source of biomarkers
Etheridge, A., Lee, I., Hood, L., Galas, D., & Wang, K. (2011) · Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis · doi:10.1016/j.mrfmmm.2011.03.004 · Cited by 659
Metadata
- Authors
- Tijsen, A. J., Creemers, E. E., Moerland, P. D., de Windt, L. J., van der Wal, A. C., Kok, W. E., & Pinto, Y. M.
- Venue
- Circulation Research
- Published
- 2010-04-02
- Volume
- 106
- Issue
- 6
- Pages
- 1035-1039
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W2140163830
- Cited by
- 664
- References
- 7
- FWCI
- 15.17
- Type
- journal article
- Language
- en
- Open access
- green
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- Tijsen, A. J., Creemers, E. E., Moerland, P. D., de Windt, L. J., van der Wal, A. C., Kok, W. E., & Pinto, Y. M. (2010). MiR423-5p As a Circulating Biomarker for Heart Failure. Circulation Research. https://doi.org/10.1161/circresaha.110.218297
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