The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
The novel regulatory role of lnc RNA‐mi RNA‐mRNA axis in cardiovascular diseases
Open accessAbstract
Long noncoding RNA s (lnc RNA s) are RNA s longer than 200 nt in length that are characterized by low levels of sequence conservation and expression; lnc RNA s modulate various biological functions at epigenetic, transcriptional and post‐transcriptional levels, or directly regulate protein activity. As a family of small and evolutionarily conserved noncoding RNA s, micro RNA s (mi RNA s) are capable of regulating physiological and pathological processes via inhibiting target mRNA translation or promoting mRNA degradation. A number of studies have confirmed that both lnc RNA s and mi RNA s are closely associated with the development of cardiovascular diseases (CVD s), such as cardiac remodelling, heart failure, myocardial injury and arrhythmia, and that they act as biomarkers, potential therapeutic targets or strong indicators of prognosis; however, the underlying molecular mechanism has not been elucidated. Recently, emerging evidence showed that the novel regulatory mechanism underlying the crosstalk among lnc RNA s, mi RNA s and mRNA s plays a pivotal role in the pathophysiological processes of CVD s in response to stress stimuli. In this review, I comprehensively summarized the regulatory relationship of lnc RNA s, mi RNA s and mRNA s and highlighted the important role of the lnc RNA‐mi RNA‐mRNA axis in CVDs.
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
1 retracted
Tao, Y., Han, T., Zhang, T., Ma, C., & Sun, C. (2017) · Oncotarget · doi:10.18632/oncotarget.16850 · Cited by 66
RetractedRepertoires of Autophagy in the Pathogenesis of Ocular Diseases
Li, Y.-J., Jiang, Q., Cao, G.-F., Yao, J., & Yan, B. (2015) · Cellular Physiology and Biochemistry · doi:10.1159/000373980 · Cited by 16,304
Autophagy fights disease through cellular self-digestion
Mizushima, N., Levine, B., Cuervo, A. M., & Klionsky, D. J. (2008) · Nature · doi:10.1038/nature06639 · Cited by 6,452
Unique features of long non-coding RNA biogenesis and function
Quinn, J. J., & Chang, H. Y. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2015.10 · Cited by 3,672
MicroRNA-133 controls cardiac hypertrophy
Carè, A., Catalucci, D., Felicetti, F., Bonci, D., Addario, A., Gallo, P., Bang, M.-L., Segnalini, P., Gu, Y., Dalton, N. D., et al. (2007) · Nature Medicine · doi:10.1038/nm1582 · Cited by 1,776
Non-coding RNAs in Development and Disease: Background, Mechanisms, and Therapeutic Approaches
Beermann, J., Piccoli, M.-T., Viereck, J., & Thum, T. (2016) · Physiological Reviews · doi:10.1152/physrev.00041.2015 · Cited by 1,726
Long Noncoding RNAs with Enhancer-like Function in Human Cells
Ørom, U. A., Derrien, T., Beringer, M., Gumireddy, K., Gardini, A., Bussotti, G., Lai, F., Zytnicki, M., Notredame, C., Huang, Q., et al. (2010) · Cell · doi:10.1016/j.cell.2010.09.001 · Cited by 1,721
Jia, Q.-W., Chen, Z.-H., Ding, X.-Q., Liu, J.-Y., Ge, P.-C., An, F.-H., Li, L.-H., Wang, L.-S., Ma, W.-Z., Yang, Z.-J., et al. (2017) · Cellular Physiology and Biochemistry · doi:10.1159/000478071 · Cited by 1,691
Mitochondrial dynamics and apoptosis
Suen, D.-F., Norris, K. L., & Youle, R. J. (2008) · Genes & Development · doi:10.1101/gad.1658508 · Cited by 1,270 · cited 1×
“Mitochondrial fission and fusion are associated with cardiomyocyte apoptosis.(28) The lncRNA AK017121, named cardiac apoptosis‐related lncRNA (CARL), was identified as a functional sponge of miR‐539.”
BackgroundReducing the Global Burden of Cardiovascular Disease, Part 1: The Epidemiology and Risk Factors
Joseph, P., Leong, D., McKee, M., Anand, S. S., Schwalm, J.-D., Teo, K., Mente, A., & Yusuf, S. (2017) · Circulation Research · doi:10.1161/circresaha.117.308903 · Cited by 1,073
Cited by
microRNA‑23 inhibits inflammation to alleviate rheumatoid arthritis via regulating CXCL12
Gao, B., Sun, G., Wang, Y., Geng, Y., Zhou, L., & Chen, X. (2021) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2021.9890 · Cited by 12
Nrf2 signaling pathway: focus on oxidative stress in osteoporosis
Gu, H.-Y., Liu, N., Lin, F.-X., & Yin, J. (2025) · Osteoporosis International · doi:10.1007/s00198-025-07592-0 · Cited by 10
Metadata
- Authors
- Huang, Y.
- Venue
- Journal of Cellular and Molecular Medicine
- Publisher
- Wiley
- Published
- 2018-09-06
- Volume
- 22
- Issue
- 12
- Pages
- 5768-5775
- ISSN
- 1582-1838 (ISSN-L)
- 1582-4934
- OpenAlex
- W2891680741
- Cited by
- 445
- References
- 58
- FWCI
- 12.40
- Type
- journal article
- Language
- en
- Open access
- gold
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: The novel regulatory role of lnc RNA‐mi RNA‐mRNA axis in cardiovascular diseases. https://app.cochat.ai/papers/10.1111/jcmm.13866
- The paper
- Huang, Y. (2018). The novel regulatory role of lnc RNA‐mi RNA‐mRNA axis in cardiovascular diseases. Journal of Cellular and Molecular Medicine. https://doi.org/10.1111/jcmm.13866
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.
