The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
MicroRNA-133 Controls Vascular Smooth Muscle Cell Phenotypic Switch In Vitro and Vascular Remodeling In Vivo
Open accessAbstract
Rationale: MicroRNA (miR)-1 and -133 play a crucial role in skeletal and cardiac muscle biology and pathophysiology. However, their expression and regulation in vascular cell physiology and disease is currently unknown. Objective: The aim of the present study was to evaluate the role, if any, of miR-1 and miR-133 in vascular smooth muscle cell (VSMC) phenotypic switch in vitro and in vivo. Methods and Results: We demonstrate here that miR-133 is robustly expressed in vascular smooth muscle cells (VSMCs) in vitro and in vivo, whereas miR-1 vascular levels are negligible. miR-133 has a potent inhibitory role on VSMC phenotypic switch in vitro and in vivo, whereas miR-1 does not have any relevant effect per se. miR-133 expression is regulated by extracellular signal–regulated kinase 1/2 activation and is inversely correlated with VSMC growth. Indeed, miR-133 decreases when VSMCs are primed to proliferate in vitro and following vascular injury in vivo, whereas it increases when VSMCs are coaxed back to quiescence in vitro and in vivo. miR-133 loss- and gain-of-function experiments show that miR-133 plays a mechanistic role in VSMC growth. Accordingly, adeno-miR-133 reduces but anti-miR-133 exacerbates VSMC proliferation and migration in vitro and in vivo. miR-133 specifically suppresses the transcription factor Sp-1 expression in vitro and in vivo and through Sp-1 repression regulates smooth muscle gene expression. Conclusions: Our data show that miR-133 is a key regulator of vascular smooth muscle cell phenotypic switch in vitro and in vivo, suggesting its potential therapeutic application for vascular diseases.
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
Molecular Regulation of Vascular Smooth Muscle Cell Differentiation in Development and Disease
Owens, G. K., Kumar, M. S., & Wamhoff, B. R. (2004) · Physiological Reviews · doi:10.1152/physrev.00041.2003 · Cited by 3,471
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
Self-citationFunctional delivery of viral miRNAs via exosomes
Pegtel, D. M., Cosmopoulos, K., Thorley-Lawson, D. A., van Eijndhoven, M. A. J., Hopmans, E. S., Lindenberg, J. L., de Gruijl, T. D., Würdinger, T., & Middeldorp, J. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0914843107 · Cited by 1,641
LNA-mediated microRNA silencing in non-human primates
Elmén, J., Lindow, M., Schütz, S., Lawrence, M., Petri, A., Obad, S., Lindholm, M., Hedtjärn, M., Hansen, H. F., Berger, U., et al. (2008) · Nature · doi:10.1038/nature06783 · Cited by 1,589
miR-145 and miR-143 regulate smooth muscle cell fate and plasticity
Cordes, K. R., Sheehy, N. T., White, M. P., Berry, E. C., Morton, S. U., Muth, A. N., Lee, T.-H., Miano, J. M., Ivey, K. N., & Srivastava, D. (2009) · Nature · doi:10.1038/nature08195 · Cited by 1,585
Ji, R., Cheng, Y., Yue, J., Yang, J., Liu, X., Chen, H., Dean, D. B., & Zhang, C. (2007) · Circulation Research · doi:10.1161/circresaha.106.141986 · Cited by 920
Liu, N., Bezprozvannaya, S., Williams, A. H., Qi, X., Richardson, J. A., Bassel-Duby, R., & Olson, E. N. (2008) · Genes & Development · doi:10.1101/gad.1738708 · Cited by 790
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
Boettger, T., Beetz, N., Kostin, S., Schneider, J., Krüger, M., Hein, L., & Braun, T. (2009) · Journal of Clinical Investigation · doi:10.1172/jci38864 · Cited by 651
Serum response factor: toggling between disparate programs of gene expression
Miano, J. (2003) · Journal of Molecular and Cellular Cardiology · doi:10.1016/s0022-2828(03)00110-x · Cited by 586
Cited by
Muscle-specific microRNAs in skeletal muscle development
Horak, M., Novak, J., & Bienertova-Vasku, J. (2016) · Developmental Biology · doi:10.1016/j.ydbio.2015.12.013 · Cited by 478
Smooth muscle cell-driven vascular diseases and molecular mechanisms of VSMC plasticity
Frismantiene, A., Philippova, M., Erne, P., & Resink, T. J. (2018) · Cellular Signalling · doi:10.1016/j.cellsig.2018.08.019 · Cited by 406
Scioli, M. G., Storti, G., D’Amico, F., Rodríguez Guzmán, R., Centofanti, F., Doldo, E., Céspedes Miranda, E. M., & Orlandi, A. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9061995 · Cited by 281
Mughal, W., Nguyen, L., Pustylnik, S., da Silva Rosa, S. C., Piotrowski, S., Chapman, D., Du, M., Alli, N. S., Grigull, J., Halayko, A. J., et al. (2015) · Cell Death & Disease · doi:10.1038/cddis.2015.306 · Cited by 56
Metadata
- Authors
- Torella, D., Iaconetti, C., Catalucci, D., Ellison, G. M., Leone, A., Waring, C. D., Bochicchio, A., Vicinanza, C., Aquila, I., Curcio, A., Condorelli, G., & Indolfi, C.
- Venue
- Circulation Research
- Published
- 2011-09-30
- Volume
- 109
- Issue
- 8
- Pages
- 880-893
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W2171241454
- Cited by
- 293
- References
- 28
- FWCI
- 8.64
- 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: MicroRNA-133 Controls Vascular Smooth Muscle Cell Phenotypic Switch In Vitro and Vascular Remodeling In Vivo. https://app.cochat.ai/papers/10.1161/circresaha.111.240150
- The paper
- Torella, D., Iaconetti, C., Catalucci, D., Ellison, G. M., Leone, A., Waring, C. D., Bochicchio, A., Vicinanza, C., Aquila, I., Curcio, A., Condorelli, G., & Indolfi, C. (2011). MicroRNA-133 Controls Vascular Smooth Muscle Cell Phenotypic Switch In Vitro and Vascular Remodeling In Vivo. Circulation Research. https://doi.org/10.1161/circresaha.111.240150
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.