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miRNAS in cardiovascular diseases: potential biomarkers, therapeutic targets and challenges
Open accessAbstract
Cardiovascular diseases (CVD) are the leading cause of morbidity and mortality in the world. Although considerable progress has been made in the diagnosis, treatment and prognosis of CVD, there is still a critical need for novel diagnostic biomarkers and new therapeutic interventions to decrease the incidence of this disease. Recently, there is increasing evidence that circulating miRNAs (miRNAs), i.e. endogenous, stable, single-stranded, short, non-coding RNAs, can be used as diagnostic biomarkers for CVD. Furthermore, miRNAs represent potential novel therapeutic targets for several cardiovascular disorders. In this review we provides an overview of the effects of several CVD; including heart failure, acute myocardial infarction, arrhythmias and pulmonary hypertension; on levels of circulating miRNAs. In addition, the use of miRNA as therapeutic targets is also discussed, as well as challenges and recommendations in their use in the diagnosis of CVD.
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Bottleneck limitations for microRNA-based therapeutics from bench to the bedside
Chen, Y., Zhao, H., Tan, Z., Zhang, C., & Fu, X. (2015) · Die Pharmazie · doi:10.31083/ph.2015.4774 · Cited by 59
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Structural Remodeling and Mechanical Function in Heart Failure
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Benefits of reperfusion beyond infarct size limitation
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Micro-RNA Expression in Hypoplastic Left Heart Syndrome
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Metadata
- Authors
- Zhou, S.-S., Jin, J.-P., Wang, J.-Q., Zhang, Z.-G., Freedman, J. H., Zheng, Y., & Cai, L.
- Venue
- Acta Pharmacologica Sinica
- Published
- 2018-06-07
- Volume
- 39
- Issue
- 7
- Pages
- 1073-1084
- ISSN
- 0253-9756 (ISSN-L)
- 1671-4083
- 1745-7254
- OpenAlex
- W2807343509
- Cited by
- 675
- References
- 112
- FWCI
- 13.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.