ARRHYTHMIAS IN DOUBLE KNOCKOUT MICE W/ CORONARY ATHEROSCLEROSIS

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This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The Krieger Lab in MITs Biology B00. has developed a murine genetic model for atherosclerosis based on the mutation of two genes one encoding SR-BI, a vital molecule for absorption of HDL, and the other encoding apoE, a requisite molecule for the metabolism of LDL. This so-called "double-knockout" model produces symptoms more closely resembling atherosclerosis in humans than former "single-knockout" models, which only altered DNA encoding apoE. Specifically, double-knockout mice are characterized by lipid-rich coronary artery occlusions, multiple myocardial infarctions, an enlarged heart, reduced ejection fraction and contractility, ECG abnormalities and premature death. Detailed studies of the electrocardiogram (ECG) of these mice will provide a foundation for histological studies and disease trend analysis. We are developing a networked ECG data collection, management, and real-time analysis system for the Krieger Lab. The initial scope of the project has been restricted to the design of hardware and software for the collection, management, and real-time remote internet monitoring of ECG data. The system includes: a) a 16-channel ECG preamplifier with filters and A/D conversion b) a Hermes RAID server that: i.) provides web-based GUI inter face for biology lab technicians. ii.) streams incoming ECG data from the A/D card to disk, providing a central networked archive of the data. iii.) streams encrypted ECG data on a multicast IP address for remote monitoring via the internet. c) Hermes client - Client software collects, decrypts and displays the real-time data broadcasts from the server using a GUI interface. The software also permits retrospective analysis of ECG data by allowing the user to view archived files residing on the RAID.