The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Differential Cardiac Remodeling in Preload Versus Afterload
Open accessAbstract
Background— Hemodynamic load regulates myocardial function and gene expression. We tested the hypothesis that afterload and preload, despite similar average load, result in different phenotypes. Methods and Results— Afterload and preload were compared in mice with transverse aortic constriction (TAC) and aortocaval shunt (shunt). Compared with sham mice, 6 hours after surgery, systolic wall stress (afterload) was increased in TAC mice (+40%; P <0.05), diastolic wall stress (preload) was increased in shunt (+277%; P <0.05) and TAC mice (+74%; P <0.05), and mean total wall stress was similarly increased in TAC (69%) and shunt mice (67%) ( P =NS, TAC versus shunt; each P <0.05 versus sham). At 1 week, left ventricular weight/tibia length was significantly increased by 22% in TAC and 29% in shunt mice ( P =NS, TAC versus shunt). After 24 hours and 1 week, calcium/calmodulin-dependent protein kinase II signaling was increased in TAC. This resulted in altered calcium cycling, including increased L-type calcium current, calcium transients, fractional sarcoplasmic reticulum calcium release, and calcium spark frequency. In shunt mice, Akt phosphorylation was increased. TAC was associated with inflammation, fibrosis, and cardiomyocyte apoptosis. The latter was significantly reduced in calcium/calmodulin-dependent protein kinase IIδ-knockout TAC mice. A total of 157 mRNAs and 13 microRNAs were differentially regulated in TAC versus shunt mice. After 8 weeks, fractional shortening was lower and mortality was higher in TAC versus shunt mice. Conclusions— Afterload results in maladaptive fibrotic hypertrophy with calcium/calmodulin-dependent protein kinase II–dependent altered calcium cycling and apoptosis. Preload is associated with Akt activation without fibrosis, little apoptosis, better function, and lower mortality. This indicates that different loads result in distinct phenotype differences that may require specific pharmacological interventions.
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232
Bioconductor: open software development for computational biology and bioinformatics
Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., et al. (2004) · Genome Biology · doi:10.1186/gb-2004-5-10-r80 · Cited by 12,172
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
R: A Language for Data Analysis and Graphics
Ihaka, R., & Gentleman, R. (1996) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1996.10474713 · Cited by 11,220
Exploration, normalization, and summaries of high density oligonucleotide array probe level data
Irizarry, R. A. (2003) · Biostatistics · doi:10.1093/biostatistics/4.2.249 · Cited by 10,603
Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197
Wall stress and patterns of hypertrophy in the human left ventricle.
Grossman, W., Jones, D., & McLaurin, L. P. (1975) · Journal of Clinical Investigation · doi:10.1172/jci108079 · Cited by 2,403
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
Control of Stress-Dependent Cardiac Growth and Gene Expression by a MicroRNA
van Rooij, E., Sutherland, L. B., Qi, X., Richardson, J. A., Hill, J., & Olson, E. N. (2007) · Science · doi:10.1126/science.1139089 · Cited by 1,657
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Physiological and pathological cardiac hypertrophy
Shimizu, I., & Minamino, T. (2016) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2016.06.001 · Cited by 887
Mechanistic Pathways of Sex Differences in Cardiovascular Disease
Regitz-Zagrosek, V., & Kararigas, G. (2017) · Physiological Reviews · doi:10.1152/physrev.00021.2015 · Cited by 732
Self-citationNeurohormonal activation in heart failure with reduced ejection fraction
Hartupee, J., & Mann, D. L. (2017) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2016.163 · Cited by 709
Signaling effectors underlying pathologic growth and remodeling of the heart
van Berlo, J. H., Maillet, M., & Molkentin, J. D. (2013) · Journal of Clinical Investigation · doi:10.1172/jci62839 · Cited by 445
Changes in m6A RNA Methylation Contribute to Heart Failure Progression by Modulating Translation
Berulava, T., Buchholz, E., Elerdashvili, V., Pena, T., Islam, M. R., Lbik, D., Mohamed, B. A., Renner, A., von Lewinski, D., Sacherer, M., et al. (2020) · European Journal of Heart Failure · doi:10.1002/ejhf.1672 · Cited by 323
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Metadata
- Authors
- Toischer, K., Rokita, A. G., Unsöld, B., Zhu, W., Kararigas, G., Sossalla, S., Reuter, S. P., Becker, A., Teucher, N., Seidler, T., Grebe, C., Preuß, L., Gupta, S. N., Schmidt, K., Lehnart, S. E., Krüger, M., Linke, W. A., Backs, J., Regitz-Zagrosek, V., Schäfer, K., Field, L. J., Maier, L. S., & Hasenfuss, G.
- Venue
- Circulation
- Published
- 2010-09-07
- Volume
- 122
- Issue
- 10
- Pages
- 993-1003
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2016279653
- Cited by
- 318
- References
- 52
- FWCI
- 19.01
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Toischer, K., Rokita, A. G., Unsöld, B., Zhu, W., Kararigas, G., Sossalla, S., Reuter, S. P., Becker, A., Teucher, N., Seidler, T., Grebe, C., Preuß, L., Gupta, S. N., Schmidt, K., Lehnart, S. E., Krüger, M., Linke, W. A., Backs, J., Regitz-Zagrosek, V., . . . Hasenfuss, G. (2010). Differential Cardiac Remodeling in Preload Versus Afterload. Circulation. https://doi.org/10.1161/circulationaha.110.943431
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