The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Non-coding RNAs in cardiovascular diseases: diagnostic and therapeutic perspectives
Open accessAbstract
Recent research has demonstrated that the non-coding genome plays a key role in genetic programming and gene regulation during development as well as in health and cardiovascular disease. About 99% of the human genome do not encode proteins, but are transcriptionally active representing a broad spectrum of non-coding RNAs (ncRNAs) with important regulatory and structural functions. Non-coding RNAs have been identified as critical novel regulators of cardiovascular risk factors and cell functions and are thus important candidates to improve diagnostics and prognosis assessment. Beyond this, ncRNAs are rapidly emgerging as fundamentally novel therapeutics. On a first level, ncRNAs provide novel therapeutic targets some of which are entering assessment in clinical trials. On a second level, new therapeutic tools were developed from endogenous ncRNAs serving as blueprints. Particularly advanced is the development of RNA interference (RNAi) drugs which use recently discovered pathways of endogenous short interfering RNAs and are becoming versatile tools for efficient silencing of protein expression. Pioneering clinical studies include RNAi drugs targeting liver synthesis of PCSK9 resulting in highly significant lowering of LDL cholesterol or targeting liver transthyretin (TTR) synthesis for treatment of cardiac TTR amyloidosis. Further novel drugs mimicking actions of endogenous ncRNAs may arise from exploitation of molecular interactions not accessible to conventional pharmacology. We provide an update on recent developments and perspectives for diagnostic and therapeutic use of ncRNAs in cardiovascular diseases, including atherosclerosis/coronary disease, post-myocardial infarction remodelling, and heart failure.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans
Fire, A., Xu, S., Montgomery, M. K., Kostas, S. A., Driver, S. E., & Mello, C. C. (1998) · Nature · doi:10.1038/35888 · Cited by 15,429
European Guidelines on cardiovascular disease prevention in clinical practice (version 2012)
Authors/Task Force Members:, Perk, J., De Backer, G., Gohlke, H., Graham, I., Reiner, Ž., Verschuren, M., Albus, C., Benlian, P., Boysen, G., et al. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs092 · Cited by 8,490
2016 European Guidelines on cardiovascular disease prevention in clinical practice
Piepoli, M. F., Hoes, A. W., Agewall, S., Albus, C., Brotons, C., Catapano, A. L., Cooney, M.-T., Corrà, U., Cosyns, B., Deaton, C., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw106 · Cited by 6,457
2016 ESC Guidelines for the Diagnosis and Treatment of Acute and Chronic Heart Failure
Ponikowski, P., Voors, A. A., Anker, S. D., Bueno, H., Cleland, J. G. F., Coats, A. J. S., Falk, V., González-Juanatey, J. R., Harjola, V.-P., Jankowska, E. A., et al. (2016) · European Journal of Heart Failure · doi:10.1002/ejhf.592 · Cited by 5,866
GENCODE: The reference human genome annotation for The ENCODE Project
Harrow, J., Frankish, A., Gonzalez, J. M., Tapanari, E., Diekhans, M., Kokocinski, F., Aken, B. L., Barrell, D., Zadissa, A., Searle, S., et al. (2012) · Genome Research · doi:10.1101/gr.135350.111 · Cited by 4,585
Chen, X., Ba, Y., Ma, L., Cai, X., Yin, Y., Wang, K., Guo, J., Zhang, Y., Chen, J., Guo, X., et al. (2008) · Cell Research · doi:10.1038/cr.2008.282 · Cited by 4,560
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949
Long Noncoding RNAs: Cellular Address Codes in Development and Disease
Batista, P. J., & Chang, H. Y. (2013) · Cell · doi:10.1016/j.cell.2013.02.012 · Cited by 2,531
MicroRNA-21 contributes to myocardial disease by stimulating MAP kinase signalling in fibroblasts
Thum, T., Gross, C., Fiedler, J., Fischer, T., Kissler, S., Bussen, M., Galuppo, P., Just, S., Rottbauer, W., Frantz, S., et al. (2008) · Nature · doi:10.1038/nature07511 · Cited by 2,349
Self-citation
Cited by
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
The novel regulatory role of lnc RNA‐mi RNA‐mRNA axis in cardiovascular diseases
Huang, Y. (2018) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.13866 · Cited by 445
Genetic dissection of the impact of miR-33a and miR-33b during the progression of atherosclerosis
Price, N. L., Rotllan, N., Canfrán-Duque, A., Zhang, X., Pati, P., Arias, N., Moen, J., Mayr, M., Ford, D. A., Baldán, Á., et al. (2017) · Cell reports · doi:10.1016/j.celrep.2017.10.023 · Cited by 129
Potential Therapeutic Targeting of lncRNAs in Cholesterol Homeostasis
Ye, W.-C., Huang, S.-F., Hou, L.-J., Long, H.-J., Yin, K., Hu, C. Y., & Zhao, G.-J. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.688546 · Cited by 19
Emerging role of proprotein convertase subtilisin/kexin type-9 (PCSK-9) in inflammation and diseases
Brown, M., & Ahmed, S. (2019) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2019.03.018 · Cited by 18
Metadata
- Authors
- Poller, W., Dimmeler, S., Heymans, S., Zeller, T., Haas, J., Karakas, M., Leistner, D.-M., Jakob, P., Nakagawa, S., Blankenberg, S., Engelhardt, S., Thum, T., Weber, C., Meder, B., Hajjar, R., & Landmesser, U.
- Venue
- European Heart Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-04-18
- Volume
- 39
- Issue
- 29
- Pages
- 2704-2716
- ISSN
- 0195-668X (ISSN-L)
- 1522-9645
- OpenAlex
- W2606441208
- Cited by
- 408
- References
- 35
- FWCI
- 7.86
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Non-coding RNAs in cardiovascular diseases: diagnostic and therapeutic perspectives. https://app.cochat.ai/papers/10.1093/eurheartj/ehx165
- The paper
- Poller, W., Dimmeler, S., Heymans, S., Zeller, T., Haas, J., Karakas, M., Leistner, D.-M., Jakob, P., Nakagawa, S., Blankenberg, S., Engelhardt, S., Thum, T., Weber, C., Meder, B., Hajjar, R., & Landmesser, U. (2018). Non-coding RNAs in cardiovascular diseases: diagnostic and therapeutic perspectives. European Heart Journal. https://doi.org/10.1093/eurheartj/ehx165
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.
