DocumentCode
2040015
Title
Circadian pattern to arrhythmias in a genetic mouse model of heart failure
Author
Shusterman, V. ; McTiernan, CF ; Mehdi, H. ; Troy, WC ; London, B.
Author_Institution
Univ. of Pittsburgh, Pittsburgh, PA, USA
fYear
2009
fDate
13-16 Sept. 2009
Firstpage
341
Lastpage
344
Abstract
Arrhythmias and sudden cardiac death have a circadian pattern of occurrence in humans. We hypothesized that a circadian pattern of arrhythmias is also present in transgenic mice with cardiac-specific overexpression of tumor necrosis factor alpha, which develop a dilated cardiomyopathy, arrhythmias and heart failure. To test this hypothesis, telemetry monitors were implanted and 24 hr, ambulatory ECG was recorded ¿ 5 days later. Animals were maintained on a 12 hr light/dark cycle. The incidence of ventricular arrhythmias increased between 3 pm and 12 am, whereas atrial arrhythmias surged between 4 am and 12 pm. This circadian pattern of arrhythmias is in excellent agreement with human data (taking into account a 12-hour shift between activity periods in diurnal humans and nocturnal rodents). The molecular mechanisms underlying such circadian patterns of arrhythmias were examined using gene expression analysis and mathematical modeling.
Keywords
biomedical telemetry; cardiology; cellular biophysics; diseases; electrocardiography; genetics; mathematical analysis; molecular biophysics; muscle; patient monitoring; physiological models; tumours; ambulatory ECG; cardiac-specific overexpression; circadian pattern; dilated cardiomyopathy; diurnal humans; gene expression analysis; genetic mouse model; heart failure; mathematical modeling; molecular mechanisms; nocturnal rodents; telemetry monitoring; time 12 h; time 24 h; time 5 day; transgenic mice; tumor necrosis factor alpha; ventricular arrhythmias; Animals; Cardiology; Electrocardiography; Genetics; Heart rate; Humans; Mice; Neoplasms; Telemetry; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology, 2009
Conference_Location
Park City, UT
ISSN
0276-6547
Print_ISBN
978-1-4244-7281-9
Electronic_ISBN
0276-6547
Type
conf
Filename
5445401
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