This high-throughput, non-invasive physiological assessment involves the following protocols: electrocardiogram, blood pressure and pulse, lung function, grip strength, thermal pain response, and body weight, composition, and bone densitometry. |
Testing schedule by strain | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Mice were tested according to the following schedule. Numbers indicate age (in wks) at time of testing.
|
Electrocardiogram (ECG) |
ECGs were recorded using a non-invasive AnonyMOUSE recording platform from Mouse Specifics, Inc. (Boston, MA) according to the method of Chu et al., 2001 and described in detail in the protocol section of Hampton TG, Paigen B, Seburn KL - Cardiac characterization. Mice were removed from their cages and placed on the recording platform containing 3 gel-coated electrodes embedded in the floor. Each mouse was allowed to acclimatize 10 min prior to collection of ECG waveform data. At the end of the acclimatization period, mice were positioned so that both hind paws and the right front paw each came into contact with an electrode. Positioning was accomplished by gently moving the mouse and/or the paws with a cotton-tipped swab. The electrodes were connected to an amplifier by a shielded 3-electrode lead set. Electrical signals were digitized with 16-bit precision at a sampling rate of 2000 samples/second. In most cases, data records containing at least 12 consecutive ECG waveforms were used for analyses (in two cases, data records containing fewer than 12 consecutive waveforms were used; the numbers of waveforms used for each calculation are available for each animal in the raw data set only). Data were sent to the Mouse Specifics, Inc. website (www.mousespecifics.com) using standard file-transfer protocols for analyses. ECG analyses. ECG waveforms were analyzed using e-MOUSE, an internet-based analysis portal (see Chu et al., 2002 and Hampton1 protocol for complete details). Briefly, e-MOUSE software uses a peak detection algorithm to find the peaks of the R-waves and to calculate heart rate (HR). The software plots its interpretation of P, Q, R, S, and T for each beat, and the mean of the ECG time intervals for each set of waveforms is calculated. Heart rate variability (HR_var) is calculated as the standard deviation of all R-R intervals for each set of ECG signals and the coefficient of variance (HR_cv) is calculated as a percentage of mean HR_var to mean HR. QT interval is calculated by using the end of the T-wave of each signal, defined as the point where the signal returns to the isoelectric line (the mean voltage between the preceding P-wave and QRS interval), and includes the inverted and/or biphasic portions of the T-wave (Mitchell et al., 1998; Wang et al., 2001). QT intervals are rate-corrected (QTc) according to the equation described by Mitchell et al. 1998.
|