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James B. Atkinson

Researcher at Vanderbilt University Medical Center

Publications -  144
Citations -  6268

James B. Atkinson is an academic researcher from Vanderbilt University Medical Center. The author has contributed to research in topics: Transplantation & Coronary arteries. The author has an hindex of 37, co-authored 139 publications receiving 5921 citations. Previous affiliations of James B. Atkinson include Carraway Methodist Medical Center & Brigham and Women's Hospital.

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Calmodulin kinase II inhibition protects against structural heart disease

TL;DR: CaMKII inhibition substantially prevented maladaptive remodeling from excessive βAR stimulation and myocardial infarction, and induced balanced changes in excitation-contraction coupling that preserved baseline and βAR-stimulated physiological increases in cardiac function.
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Prevention of atherosclerosis in apolipoprotein E-deficient mice by bone marrow transplantation

TL;DR: Apolipoprotein E-deficient mice given transplants of normal bone marrow showed virtually complete protection from diet-induced atherosclerosis and apoE was detected in serum and promoted clearance of lipoproteins and normalization of serum cholesterol levels.
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Pathology of fatal perioperative myocardial infarction: implications regarding pathophysiology and prevention

TL;DR: Predicting the site of infarction based on severity of underlying stenosis would have been unsuccessful in more than half the patients in both perioperative and nonoperative MI groups, and the severity of preexisting underlying stenotic did not predict the resulting infarct territory.
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Increased atherosclerosis in mice reconstituted with apolipoprotein E null macrophages

TL;DR: Data support a protective role for apoE expression by the macrophage in early atherogenesis and exclude the possibility of a rebound in serum cholesterol levels or lipoprotein profiles after baseline atherosclerotic lesions.
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Serial electrocardiographic changes in idiopathic dilated cardiomyopathy confirmed at necropsy

TL;DR: In this paper, a method of predicting heart weight using 12-lead QRS amplitudes was described and the results showed that using body surface area and QRS amplitude criteria increases the accuracy of heart weight prediction.