Like an emergency response team that is called into action to save lives, stress response proteins in the heart are activated during a heart attack to help prevent cell death. As part of this process, researchers show for the first time that one of these specialized emergency responder proteins, known as MCUB, temporarily decreases harmful levels of calcium transport into mitochondria, the energy-generating batteries of cells.
Read moreResearchers reported today that bone marrow cells used to treat ischemic stroke in an expanded Phase I trial were not only safe and feasible, but also resulted in enhanced recovery compared to a matched historical control group.
Read moreA research team has identified a potential target for treating heart failure related to fibrosis. The study looked at an epigenetic 'reader' protein known as BRD4, showing that it serves a central role in regulating the activation of cardiac fibroblasts. They also found that chemical inhibitors of BRD4 potently block cardiac fibroblast activation.
Read moreClinical trials have been completed on a therapeutic shoe engineered to improve stroke recovery. They've proven successful, allowing for the patented product to hit the market by the end of the year.
Read moreBicuspid aortic valve (BAV), the most common heart valve birth defect, is associated with genetic variation in human primary cilia during heart valve development, report researchers. Crucial to cilia development is the exocyst, which shuttles cilia cargo to the cell membrane. Disrupting the exocyst impaired ciliogenesis and caused a spectrum of cardiac defects in zebrafish and BAV in mice.
Read moreMajor physical changes occurred in the human heart as people shifted from hunting and foraging to farming and modern life. As a result, human hearts are now less 'ape-like' and better suited to endurance types of activity.
Read morePatients who attend 'Heart School', as almost every patient in Sweden is invited to do after a first heart attack, live longer than non-participating patients.
Read moreA new study unveils a new, machine-learning derived model that can predict, with a high degree of accuracy, future heart failure among patients with diabetes.
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