The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Molecular Pathways Underlying Cardiac Remodeling During Pathophysiological Stimulation
Open accessAbstract
Cardiac remodeling involves molecular, cellular, and interstitial changes that manifest clinically as changes in size, shape, and function of the heart after injury or stress stimulation.1 Although the term cardiac remodeling was initially coined to describe the prominent changes that occur after myocardial infarction,2,3 it is clear that similar processes transpire after other types of injury such as with pressure overload (aortic valve stenosis, hypertension), inflammatory disease (myocarditis), idiopathic dilated cardiomyopathy, and volume overload (valvular regurgitation). Although the causes of these diseases are different, they share molecular, biochemical, and cellular events to collectively change the shape of the myocardium. Cardiac hypertrophy is a common type of cardiac remodeling that occurs when the heart experiences elevated workload. The heart and individual myocytes enlarge as a means of reducing ventricular wall and septal stress when faced with increased workload or injury. Cardiac hypertrophy is classified as “physiological” when it occurs in healthy individuals after exercise or pregnancy and is not associated with cardiac damage. In contrast, hypertrophy that results from pressure or volume overload or after myocardial infarction is usually referred to as “pathological.” This name may be misleading, however, because pathological hypertrophy may also involve a compensatory and adaptive phase that tends to reduce wall stress and maintain output, although ultimately these positive aspects are lost and ventricular function declines, often leading to heart failure. In addition to ventricular remodeling, pathological cardiac hypertrophy involves cellular and molecular remodeling such as myocyte growth without significant proliferation, reexpression of fetal genes, alterations in the expression of proteins involved in excitation-contraction coupling, and changes in the energetic and metabolic state of the myocyte. These cellular and molecular changes within the myocyte are accompanied by changes in the extracellular matrix (ECM) and by myocyte death caused by necrosis or apoptosis. As …
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
Control of inositol 1,4,5-trisphosphate-induced Ca2+ release by cytosolic Ca2+
Bootman, M. D., Missiaen, L., Parys, J. B., De Smedt, H., & Casteels, R. (1995) · Biochemical Journal · doi:10.1042/bj3060445 · Cited by 5,120
Pfeffer, M. A., & Braunwald, E. (1990) · Circulation · doi:10.1161/01.cir.81.4.1161 · Cited by 2,877
A Calcineurin-Dependent Transcriptional Pathway for Cardiac Hypertrophy
Molkentin, J. D., Lu, J.-R., Antos, C. L., Markham, B., Richardson, J., Robbins, J., Grant, S. R., & Olson, E. N. (1998) · Cell · doi:10.1016/s0092-8674(00)81573-1 · Cited by 2,566
Self-citationHaberland, M., Montgomery, R. L., & Olson, E. N. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2485 · Cited by 2,526
Cohn, J. N., Ferrari, R., & Sharpe, N. (2000) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(99)00630-0 · Cited by 2,161
Organization and regulation of mitogen-activated protein kinase signaling pathways
Garrington, T. P., & Johnson, G. L. (1999) · Current Opinion in Cell Biology · doi:10.1016/s0955-0674(99)80028-3 · Cited by 1,275
The RAF proteins take centre stage
Wellbrock, C., Karasarides, M., & Marais, R. (2004) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1498 · Cited by 1,228
Spinale, F. G. (2007) · Physiological Reviews · doi:10.1152/physrev.00012.2007 · Cited by 1,120
Sundaresan, N. R., Gupta, M., Kim, G., Rajamohan, S. B., Isbatan, A., & Gupta, M. P. (2009) · Journal of Clinical Investigation · doi:10.1172/jci39162 · Cited by 995
Class II Histone Deacetylases Act as Signal-Responsive Repressors of Cardiac Hypertrophy
Zhang, C. L., McKinsey, T. A., Chang, S., Antos, C. L., Hill, J. A., & Olson, E. N. (2002) · Cell · doi:10.1016/s0092-8674(02)00861-9 · Cited by 973
Cited by
The N 6 -Methyladenosine mRNA Methylase METTL3 Controls Cardiac Homeostasis and Hypertrophy
Dorn, L. E., Lasman, L., Chen, J., Xu, X., Hund, T. J., Medvedovic, M., Hanna, J. H., van Berlo, J. H., & Accornero, F. (2019) · Circulation · doi:10.1161/circulationaha.118.036146 · Cited by 466
Myocardial Extracellular Matrix: An Ever-Changing and Diverse Entity
Rienks, M., Papageorgiou, A.-P., Frangogiannis, N. G., & Heymans, S. (2014) · Circulation Research · doi:10.1161/circresaha.114.302533 · Cited by 366
Role of m6A RNA methylation in cardiovascular disease (Review)
Qin, Y., Li, L., Luo, E., Hou, J., Yan, G., Wang, D., Qiao, Y., & Tang, C. (2020) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2020.4746 · Cited by 328
The vortex—an early predictor of cardiovascular outcome?
Pedrizzetti, G., La Canna, G., Alfieri, O., & Tonti, G. (2014) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2014.75 · Cited by 284
Gorski, P. A., Ceholski, D. K., & Hajjar, R. J. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.01.005 · Cited by 213
Metadata
- Authors
- Kehat, I., & Molkentin, J. D.
- Venue
- Circulation
- Published
- 2010-12-21
- Volume
- 122
- Issue
- 25
- Pages
- 2727-2735
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2089365655
- Cited by
- 592
- References
- 80
- FWCI
- 14.10
- Type
- journal article
- Language
- en
- Open access
- green
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: Molecular Pathways Underlying Cardiac Remodeling During Pathophysiological Stimulation. https://app.cochat.ai/papers/10.1161/circulationaha.110.942268
- The paper
- Kehat, I., & Molkentin, J. D. (2010). Molecular Pathways Underlying Cardiac Remodeling During Pathophysiological Stimulation. Circulation. https://doi.org/10.1161/circulationaha.110.942268
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.