The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Cardiac fibrosis in mice with hypertrophic cardiomyopathy is mediated by non-myocyte proliferation and requires Tgf-β
Open accessAbstract
Mutations in sarcomere protein genes can cause hypertrophic cardiomyopathy (HCM), a disorder characterized by myocyte enlargement, fibrosis, and impaired ventricular relaxation. Here, we demonstrate that sarcomere protein gene mutations activate proliferative and profibrotic signals in non-myocyte cells to produce pathologic remodeling in HCM. Gene expression analyses of non-myocyte cells isolated from HCM mouse hearts showed increased levels of RNAs encoding cell-cycle proteins, Tgf-β, periostin, and other profibrotic proteins. Markedly increased BrdU labeling, Ki67 antigen expression, and periostin immunohistochemistry in the fibrotic regions of HCM hearts confirmed the transcriptional profiling data. Genetic ablation of periostin in HCM mice reduced but did not extinguish non-myocyte proliferation and fibrosis. In contrast, administration of Tgf-β-neutralizing antibodies abrogated non-myocyte proliferation and fibrosis. Chronic administration of the angiotensin II type 1 receptor antagonist losartan to mutation-positive, hypertrophy-negative (prehypertrophic) mice prevented the emergence of hypertrophy, non-myocyte proliferation, and fibrosis. Losartan treatment did not reverse pathologic remodeling of established HCM but did reduce non-myocyte proliferation. These data define non-myocyte activation of Tgf-β signaling as a pivotal mechanism for increased fibrosis in HCM and a potentially important factor contributing to diastolic dysfunction and heart failure. Preemptive pharmacologic inhibition of Tgf-β signals warrants study in human patients with sarcomere gene mutations.
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
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
Cellular and molecular mechanisms of fibrosis
Wynn, T. (2008) · The Journal of Pathology · doi:10.1002/path.2277 · Cited by 4,495
Myofibroblasts and mechano-regulation of connective tissue remodelling
Tomasek, J. J., Gabbiani, G., Hinz, B., Chaponnier, C., & Brown, R. A. (2002) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm809 · Cited by 4,290
Gerdes, J., Lemke, H., Baisch, H., Wacker, H. H., Schwab, U., & Stein, H. (1984) · The Journal of Immunology · doi:10.4049/jimmunol.133.4.1710 · Cited by 4,173
Hinz, B. (2009) · Current Rheumatology Reports · doi:10.1007/s11926-009-0017-1 · Cited by 373
Cited by
Cardiac Fibrosis: The Fibroblast Awakens
Travers, J. G., Kamal, F. A., Robbins, J., Yutzey, K. E., & Blaxall, B. C. (2016) · Circulation Research · doi:10.1161/circresaha.115.306565 · Cited by 1,596
Hypertrophic Cardiomyopathy: Genetics, Pathogenesis, Clinical Manifestations, Diagnosis, and Therapy
Marian, A. J., & Braunwald, E. (2017) · Circulation Research · doi:10.1161/circresaha.117.311059 · Cited by 1,403
Fibroblast-specific TGF-β–Smad2/3 signaling underlies cardiac fibrosis
Khalil, H., Kanisicak, O., Prasad, V., Correll, R. N., Fu, X., Schips, T., Vagnozzi, R. J., Liu, R., Huynh, T., Lee, S.-J., et al. (2017) · Journal of Clinical Investigation · doi:10.1172/jci94753 · Cited by 905
Self-citationHo, C. Y., Day, S. M., Ashley, E. A., Michels, M., Pereira, A. C., Jacoby, D., Cirino, A. L., Fox, J. C., Lakdawala, N. K., Ware, J. S., et al. (2018) · Circulation · doi:10.1161/circulationaha.117.033200 · Cited by 860
Self-citationAnimal Models of Heart Failure: A Scientific Statement From the American Heart Association
Houser, S. R., Margulies, K. B., Murphy, A. M., Spinale, F. G., Francis, G. S., Prabhu, S. D., Rockman, H. A., Kass, D. A., Molkentin, J. D., Sussman, M. A., et al. (2012) · Circulation Research · doi:10.1161/res.0b013e3182582523 · Cited by 435
Self-citationCytokine mediated tissue fibrosis
Borthwick, L. A., Wynn, T. A., & Fisher, A. J. (2013) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2012.09.014 · Cited by 375
Identifying Sarcomere Gene Mutations in Hypertrophic Cardiomyopathy: A Personal History
Seidman, C. E., & Seidman, J. G. (2011) · Circulation Research · doi:10.1161/circresaha.110.223834 · Cited by 271
Self-citationMolecular Genetic Basis of Hypertrophic Cardiomyopathy
Marian, A. J. (2021) · Circulation Research · doi:10.1161/circresaha.121.318346 · Cited by 250
Mechanisms of disease: hypertrophic cardiomyopathy
Frey, N., Luedde, M., & Katus, H. A. (2012) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2011.159 · Cited by 235
Efficient in vivo genome editing prevents hypertrophic cardiomyopathy in mice
Reichart, D., Newby, G. A., Wakimoto, H., Lun, M., Gorham, J. M., Curran, J. J., Raguram, A., DeLaughter, D. M., Conner, D. A., Marsiglia, J. D. C., et al. (2023) · Nature Medicine · doi:10.1038/s41591-022-02190-7 · Cited by 203
Self-citationBase editing correction of hypertrophic cardiomyopathy in human cardiomyocytes and humanized mice
Chai, A. C., Cui, M., Chemello, F., Li, H., Chen, K., Tan, W., Atmanli, A., McAnally, J. R., Zhang, Y., Xu, L., et al. (2023) · Nature Medicine · doi:10.1038/s41591-022-02176-5 · Cited by 184
Waring, C. D., Vicinanza, C., Papalamprou, A., Smith, A. J., Purushothaman, S., Goldspink, D. F., Nadal-Ginard, B., Torella, D., & Ellison, G. M. (2014) · European Heart Journal · doi:10.1093/eurheartj/ehs338 · Cited by 173
Advances in the Genetic Basis and Pathogenesis of Sarcomere Cardiomyopathies
Yotti, R., Seidman, C. E., & Seidman, J. G. (2019) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-083118-015306 · Cited by 168
Self-citationValsartan in early-stage hypertrophic cardiomyopathy: a randomized phase 2 trial
Ho, C. Y., Day, S. M., Axelsson, A., Russell, M. W., Zahka, K., Lever, H. M., Pereira, A. C., Colan, S. D., Margossian, R., Murphy, A. M., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01505-4 · Cited by 139
Self-citationCardiac Fibroblasts and the Extracellular Matrix in Regenerative and Nonregenerative Hearts
Hortells, L., Johansen, A. K. Z., & Yutzey, K. E. (2019) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd6030029 · Cited by 79
Josowitz, R., Mulero-Navarro, S., Rodriguez, N. A., Falce, C., Cohen, N., Ullian, E. M., Weiss, L. A., Rauen, K. A., Sobie, E. A., & Gelb, B. D. (2016) · Stem Cell Reports · doi:10.1016/j.stemcr.2016.07.018 · Cited by 45
Metadata
- Authors
- Teekakirikul, P., Eminaga, S., Toka, O., Alcalai, R., Wang, L., Wakimoto, H., Nayor, M., Konno, T., Gorham, J. M., Wolf, C. M., Kim, J. B., Schmitt, J. P., Molkentin, J. D., Norris, R. A., Tager, A. M., Hoffman, S. R., Markwald, R. R., Seidman, C. E., & Seidman, J. G.
- Venue
- Journal of Clinical Investigation
- Published
- 2010-10-01
- Volume
- 120
- Issue
- 10
- Pages
- 3520-3529
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2128077735
- Cited by
- 448
- References
- 5
- FWCI
- 19.21
- 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
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.