Title |
Protein Kinase C Inhibition With Ruboxistaurin Increases Contractility and Reduces Heart Size in a Swine Model of Heart Failure With Reduced Ejection Fraction
|
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Published in |
JACC: Basic to Translational Science, December 2017
|
DOI | 10.1016/j.jacbts.2017.06.007 |
Pubmed ID | |
Authors |
Thomas E. Sharp, Hajime Kubo, Remus M. Berretta, Timothy Starosta, Markus Wallner, Giana J. Schena, Alexander R. Hobby, Daohai Yu, Danielle M. Trappanese, Jon C. George, Jeffery D. Molkentin, Steven R. Houser |
Abstract |
Inotropic support is often required to stabilize the hemodynamics of patients with acute decompensated heart failure; while efficacious, it has a history of leading to lethal arrhythmias and/or exacerbating contractile and energetic insufficiencies. Novel therapeutics that can improve contractility independent of beta-adrenergic and protein kinase A-regulated signaling, should be therapeutically beneficial. This study demonstrates that acute protein kinase C-α/β inhibition, with ruboxistaurin at 3 months' post-myocardial infarction, significantly increases contractility and reduces the end-diastolic/end-systolic volumes, documenting beneficial remodeling. These data suggest that ruboxistaurin represents a potential novel therapeutic for heart failure patients, as a moderate inotrope or therapeutic, which leads to beneficial ventricular remodeling. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 10% |
Chile | 4 | 10% |
United States | 4 | 10% |
Venezuela, Bolivarian Republic of | 3 | 8% |
Spain | 3 | 8% |
Colombia | 2 | 5% |
Canada | 2 | 5% |
Ecuador | 1 | 3% |
Mexico | 1 | 3% |
Other | 5 | 13% |
Unknown | 10 | 26% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 23 | 59% |
Practitioners (doctors, other healthcare professionals) | 9 | 23% |
Scientists | 5 | 13% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 17% |
Student > Doctoral Student | 3 | 13% |
Student > Ph. D. Student | 2 | 9% |
Student > Master | 2 | 9% |
Student > Bachelor | 1 | 4% |
Other | 5 | 22% |
Unknown | 6 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 35% |
Agricultural and Biological Sciences | 2 | 9% |
Biochemistry, Genetics and Molecular Biology | 2 | 9% |
Sports and Recreations | 2 | 9% |
Nursing and Health Professions | 1 | 4% |
Other | 3 | 13% |
Unknown | 5 | 22% |