Positive results for ECG and BP raw data
Using this protocol high-quality ECG and BP data can be acquired (Figure 4 and Supplemental File 14), allowing not only for precise BRS analysis but also for analysis of a broad range of ECG or BP-derived parameters, e.g. ECG intervals (Figure 4B, upper panel), blood pressure parameters (Figure 4B, lower panel), heart rate and blood pressure variability, arrhythmia detection etc12,13,14,15.

Figure 4: Telemetric ECG and BP recordings. (A) Representative, high-quality ECG trace (upper panel) and corresponding high-quality raw BP recordings (lower panel). (B) Magnification of ECG traces (upper panel). P wave, QRS complex, T wave and RR interval are indicated. Magnification of corresponding BP data (lower panel). Diastolic BP (DBP) and systolic BP (SBP) are indicated. Please click here to view a larger version of this figure.
Positive results for circadian rhythm
A healthy mouse that has sufficiently recovered from surgery shows a physiological increase of activity, HR and BP during the activity (dark) phase (Figure 5). Many different factors can disturb this regular circadian rhythm. These include psychological stress, acoustic or electric noise and pain. For example, an acute pain condition immediately after surgery would result in an increase in heart rate with a simultaneous decrease in activity. Therefore, the circadian rhythm is an important indicator for animal health and well-being and should be routinely checked before BRS analysis.

Figure 5: Analysis of long-term telemetry measurements to determine circadian rhythm variations. Circadian rhythm of heart rate (A), activity (B), systolic blood pressure (C) and diastolic blood pressure (D) averaged from 9 male wild-type C57BL/6J mice during 12 h light and dark cycles. Grey areas depict the activity (dark) phase and white areas depict the resting (light) phase of the animals. All parameters are physiologically elevated during the animal´s activity (dark) phase. Data are represented as mean +/- SEM. Please click here to view a larger version of this figure.
Positive results for BRS analysis
After performing the analysis as described in the protocol section 2.8 the software will detect up and down sequences, respectively. The method used is called sequence method since changes in SBP and RR intervals are examined on a beat-to-beat basis during short sequences of three or more beats with a spontaneous rise or fall in SBP (Figure 6). A continuous elevation in SBP over three heartbeats causes a reflex increase in parasympathetic activity and in consequence slows down HR, which is equivalent to longer RR intervals. The latency for the reflex HR adaption is one beat. Such a sequence is shown in Figure 6A and is defined as an up sequence. In contrast, a continuous decrease in SBP over three beats with parallel rise in HR (decrease in RR interval) is defined as a down sequence (Figure 6B). To evaluate the correlation between RR and SBP, both parameters are plotted against each other and the slope (ms/mmHg) of the linear regression line is calculated for each sequence (Figure 6A,B, lower panels). After sorting by up and down sequences the average number of sequences per 1000 beats (Figure 6C) and average gain of spontaneous BRS can be calculated for up and down sequences, respectively (Figure 6D,E). The gain of spontaneous BRS is reflected by the slope of the linear regression line calculated from the RR/SBP relation. The deviation from normal BRS values can have various causes. These include changes in ANS input or changes in the responsiveness of the sinoatrial node to autonomic nervous system input. In Figure 6 increased BRS in a mouse model for sick sinus syndrome (SSS) with exaggerated responsiveness of the sinoatrial node to vagal input is shown11.

Figure 6: Estimation of BRS using the sequence method. (A) Representative BP trace of a wild-type C57BL/6J mouse during an up sequence of three consecutive beats (upper panel) associated with a parallel increase in RR interval (middle panel) which is equivalent to a decrease in HR. The RR intervals were plotted against the SBP (lower panel). The slope of the regression line (red line) for the up sequence depicted in the upper and middle panel (WT, black circles) was 4.10 ms/mmHg. A representative RR/SBP relationship of the sick sinus syndrome mouse model yielded an increased slope of 6.49 ms/mmHg indicating elevated BRS (SSS, grey circles). (B) Representative down sequence of a wild-type mouse with a drop in SBP (upper panel) and a subsequent decrease in RR interval (middle panel) which results in a BRS slope of 4.51 ms/mmHg (lower panel; WT, black circles). A representative RR/SBP relationship of the sick sinus syndrome mouse model (SSS, grey circles) with a slope of 7.10 ms/mmHg. The orientation of the red arrowheads indicates the direction of the sequences (up or down sequence). (C) Total amount of sequences per 1000 beats for WT and SSS mice. (D) Mean slope of the RR/SBP relationship for up sequences for WT and SSS mice. (E) Mean slope of the RR/SBP relationship for down sequences for WT and SSS mice. Statistics in (C-E) were performed from results of six male WT animals and eight male animals of the sick sinus syndrome mouse model. Boxplots show the median line, perc 25/75, and min/max value; open symbols represent the mean value. Please click here to view a larger version of this figure.
Negative result for raw data quality
Especially during phases of higher activity signal quality might decrease (Figure 7 and Supplemental Files 15,16). This can be caused by temporary displacement or incorrect position of either the BP catheter or ECG leads or both due to motion of the animal. Also, skeletal muscle activity might be detected from the ECG leads and induce noise (Figure 7B, upper panel). With the software settings described above, these low quality beats are not detected and are therefore excluded from analysis. Nevertheless, manual inspection of the analysed raw data is mandatory.

Figure 7: Examples of low-quality raw signals. (A) ECG signal (upper panel) is detected with good quality, but BP signal (lower panel) quality is low. (B) Qualities of ECG (upper panel) and BP (lower panel) signal are not sufficient. Please click here to view a larger version of this figure.
Negative results for BRS analysis
The BRS analysis settings listed in protocol section 2.8.3 are in general essential for fast and correct detection of up and down sequences. The minimum correlation coefficient for the regression line is set to 0.75. Setting too low values for the minimum correlation coefficient results in false detections of sequences that do not reflect baroreflex activity but rather result from arrhythmic beats (Figure 8). For BRS analysis only episodes with stable sinus rhythm must be analysed. Ectopic beats or other arrhythmic events, e.g., sinus pauses, can be found with the HRV option of ECG and BP analysis software and must be invalidated.

Figure 8: Sequences that do not reflect baroreflex activity. (A) ECG trace of a mouse with mild sinus dysrhythmia. (B) BP recording depicting a spontaneous increase in SBP. (C) Corresponding RR intervals indicate a decrease of HR upon the increase of BP. (D) Plot of SBP and corresponding RR intervals. The low correlation coefficient of the regression line indicates that HR reduction was not caused by activity of the baroreflex but rather by sinus dysrhythmia. (E) Raw ECG trace depicting a sinus pause. (F) Corresponding raw BP signal. The sinus pause causes a drop in diastolic blood pressure. Systolic blood pressure of the subsequent beat is almost unaffected. Please click here to view a larger version of this figure.
Supplemental File 1: Surgery protocol. Template for documentation of the surgical procedure and post-operative care. Please click here to download this File.
Supplemental File 2: Converting Dataquest A.R.T data into IOX data for analysis in ecgAUTO software. Select animals in the subjects list (left) and Pressure and ECG in the waveforms list (right). Press OK to convert data. Please click here to download this File.
Supplemental File 3: ECG settings for BRS analysis. Set parameters as listed, press ok and apply the configuration. Please click here to download this File.
Supplemental File 4: BP settings for BRS analysis. Set parameters as listed, press ok and apply the configuration. Save the configuration as a configuration file to be able to load the settings easily. Please click here to download this File.
Supplemental File 5: Parameters in list/to file window for "sections". Choose sections to be exported under the sections > txt header (selected) and press Apply!. Please click here to download this File.
Supplemental file 6: Parameters in list/to file window for "steps". Choose step data to be exported under the steps > txt header (selected) and press Apply!. Please click here to download this File.
Supplemental File 7: Parameters in list/to file window for "beats". Choose values to be exported under the beats > txt header (selected) and press Apply!. For BRS analysis the ticked parameters are necessary. Note the order of selection indicated by the numbers. Please click here to download this File.
Supplemental File 8: TemplateBRS spreadsheet file. Spreadsheet template for automated sorting and analysis of up and down sequences. Please click here to download this File.
Supplemental File 9: Copying relevant data from the Results File I. Copy the columns (Pressure)_BRS_deltaP, (Pressure)_BRS_# and (Pressure)_BRS_slope from the Results File. Please click here to download this File.
Supplemental File 10: Spreadsheet template file (TemplateBRS) for data sorting and analysis I. Paste the copied data into the respective columns of the "Up sequences" and "Down sequences" spreadsheet in the TemplateBRS spreadsheet file. Please click here to download this File.
Supplemental File 11: Copying relevant data from the Results File II. Copy the column (Pressure)_BRS_SBP from the Results File. Please click here to download this File.
Supplemental File 12: A spreadsheet template file (TemplateBRS) for data sorting and analysis II. Paste the copied SBP data into the "All sequences" spreadsheet in the TemplateBRS spreadsheet file to calculate the total number of sequences. Please click here to download this File.
Supplemental File 13: Filtering and analyzing the sequences. In the "Up sequences" spreadsheet of the TemplateBRS spreadsheet file, open the drop-down menu of the (Pressure)_BRS_# column filter and press OK without changing any parameters. This will automatically sort the data and update the calculations for sequences with 3 beats. Repeat this for the "Down sequences" spreadsheet. Please click here to download this File.
Supplemental File 14: Screenshot of a high-quality recording detected with ECG and BP analysis software. The upper trace (ECG) shows detection of each R-peak and the lower trace (BP) shows detection of each diastolic pressure (DP) and systolic pressure (SP) peak. Areas under successfully detected peaks are marked in red. Please click here to download this File.
Supplemental File 15: Screenshot of a low-quality BP recording where BP parameters are only partially detected. The upper trace (ECG) shows detection of each R-peak but the lower trace (BP) shows gaps between detected BP peaks. Detected peaks of diastolic pressure (DP) and systolic pressure (SP) are marked with red areas. Please click here to download this File.
Supplemental File 16: Screenshot of a low-quality ECG and BP recording where ECG and BP parameters could not be detected. The upper trace (ECG) shows a region (purple background) where ECG parameters could not be detected. BP detection (lower trace) also failed due to low signal quality. Please click here to download this File.