|
|
||||||||
1 Institut für Physiologie und Pathophysiologie, Universität Heidelberg, D-69120 Heidelberg; and 2 Institut für Physiologie, Universität Hamburg, D-20246 Hamburg, Germany
| |
ABSTRACT |
|---|
|
|
|---|
Autonomic
cardiovascular control was characterized in conscious, chronically
catheterized mice by spectral analysis of arterial pressure (AP) and
heart rate (HR) during autonomic blockade or baroreflex modulation of
autonomic tone. Both spectra were similar to those obtained in humans,
but at ~10× higher frequencies. The 1/f relation of the
AP spectrum changed to a more shallow slope below 0.1-0.2 Hz.
Coherence between AP and HR reached 0.5 or higher below 0.3-0.4 Hz
and also above 2.5 Hz. Muscarinic blockade (atropine) or
-adrenergic
blockade (atenolol) did not significantly affect the AP spectrum.
Atropine reduced HR variability at all frequencies, but this effect
waned above 1 Hz.
-Adrenergic blockade (atenolol) slightly enhanced
the HR variability only above 1 Hz.
-Adrenergic blockade (prazosin)
reduced AP variability between 0.05 and 3 Hz, most prominently at
0.15-0.7 Hz. A shift of the autonomic nervous tone by a
hypertensive stimulus (phenylephrine) enhanced, whereas a hypotensive
stimulus (nitroprusside) depressed AP variability at 1-3 Hz; other
frequency ranges of the AP spectrum were not affected except for a
reduction below 0.4 Hz after nitroprusside. Variability of HR was
enhanced after phenylephrine at all frequencies and reduced after
nitroprusside. As with atropine, the reduction with nitroprusside waned
above 1 Hz. In conclusion, in mice HR variability is dominated by
parasympathetic tone at all frequencies, during both blockade and
physiological modulation of autonomic tone. There is a limitation for
further reduction but not for augmentation of HR variability from the
resting state above 1 Hz. The impact of HR on AP variability in mice is
confined to frequencies higher than 1 Hz. Limits between frequency
ranges are proposed as 0.15 Hz between VLF (very low frequency range) and LF (low frequency range) and 1.5 Hz between LF and HF (high frequency range).
blood pressure; heart rate; spectral analysis; variability; conscious mouse
| |
INTRODUCTION |
|---|
|
|
|---|
THE MURINE CARDIOVASCULAR system and its control by the autonomic nervous system receives growing interest because of the genetic tools that are applicable in this species (5, 16). For this reason, numerous methods for cardiovascular investigation from the level of ion channels to the conscious animal have been adapted from larger animals to the mouse (3, 19).
The analysis of arterial pressure (AP) and heart rate (HR) variability by spectral methods has proved a useful tool in humans and conscious animals for the investigation of integrative cardiovascular regulation (28, 29), for the assessment of sympathovagal balance (7, 27, 28), and for diagnostic and prognostic purposes in cardiovascular disease (7). These methods have also been applied to rats (1, 9, 21, 31), and thorough evaluations have shown that they are valid in this species after adaptation of the frequency ranges by a factor of four, corresponding to the higher HR and respiratory rate (9, 21, 31).
Therefore, it seems plausible that spectral analysis of cardiovascular
variability may also be transferable to mice. Indeed, spectral analysis
of HR has already been used in mice (18, 20, 25, 37, 40).
These studies investigated the responses to pharmacological blockade of
the autonomic efferents but did not address the responses to
physiological modulation of the autonomic nervous tone. Although the
responses to a hypertensive stimulus have been assessed by methoxamine
(40) or
N
-nitro-L-arginine methyl ester
(L-NAME) (20), no data are available for a modulation of sympathovagal balance into the opposite direction.
Furthermore, there is also growing interest in genetic targets potentially involved in the regulation of blood pressure (11, 15, 35). From its use in larger animals and humans (28, 29), the spectral analysis of AP is expected to be a valuable tool for the integrative investigation of such murine models, as it has already been in a recent study (35). Thus a more detailed understanding of the basic characteristics of the AP variability in the mouse would be highly desirable. This important point has been addressed in a recent detailed work on conscious unrestrained Swiss mice (20) by means of pharmacological autonomic blockade. However, information on the effects of autonomic influences during modulation of the sympathovagal balance within the physiological range is still missing.
Therefore, the aims of the present study were 1) to characterize the normal baseline spectra of both HR and AP in conscious freely moving mice of the C57BL/6J strain, the most widely used genetic background for studies on genetically modified animals, 2) to reassess for both spectra the effects of blockade of the autonomic nervous control in this strain of mice, and 3) to investigate the responses of baroreflex-mediated modulation of the autonomic tone within a physiological range.
| |
METHODS |
|---|
|
|
|---|
All experiments were performed in 14 female wild-type C57BL/6J mice (22-24 g, age 6 mo) in accordance with national guidelines for the care and use of research animals. After surgery, the mice were housed individually in plastic cages with free access to water and standard mouse chow. After completion of all experiments the animals were killed by an overdose of ketamine.
Surgical procedures. After anesthesia with ketamine and xylazine-HCl (100 and 4 µg/g ip; Rompun, Bayer), catheters were implanted aseptically into the left femoral artery and vein, tunneled subcutaneously, and exteriorized through a spring, sewn to the animal's back. Cefazolin (10 mg im) was given for antibiotic prophylaxis. The catheters were manufactured as described by Mattson (26) comprising a dead space of 80-85 µl. The spring was connected to a swivel device at the top of the cage. The catheters were filled with heparin solution (50 IU/ml saline) and sealed until use.
Measurements. All experiments were done in conscious unrestrained mice in their own cage. AP measured via the catheter (transducer PRC-21K, amplifier MIO-0501; FMI, Seeheim, Germany) was continuously recorded on a computer (Pentium, DAS-16; Keithley-Metrabyte, Taunton, MA. Note-Book 10.2.1; Labtech, Wilmington, MA) at 500 Hz. Drugs were infused intravenously by a calibrated pump (Precidor 5003; Infors, Bottmingen, Switzerland).
Protocols.
On day 2 (48 h) after surgery AP was recorded for 1 h
(21-22 spectra) as a control. Subsequently, either nitroprusside
(5 µg · kg
1 · min
1;
Merck, Darmstadt, Germany) or phenylephrine (5 µg · kg
1 · min
1, Merck)
was infused at a constant rate (250 nl · g
1 · min
1 iv, i.e.,
<10% of estimated blood volume over the 30-min period). AP was
recorded for 984 s (6 spectra) beginning 300 s after starting the infusion. After flushing and reloading of the catheter and recovery
for at least 30 min, the infusion of the other drug was started and AP
was recorded for 984 s beginning after 300 s. The order of
nitroprusside and phenylephrine was randomly assigned. After flushing
and recovery for at least 30 min, another control period was recorded
for 984 s. Subsequently, a bolus of either atropine-methyl-nitrate
(2 mg/kg, Sigma Chemicals) or atenolol (2 mg/kg, Sigma Chemicals) was
given intravenously in 2.5 µl/g saline over 1 min. AP was recorded
for 984 s starting 200 s after the bolus. On the following
day, this scheme (984 s control, 984 s after bolus) was repeated
for the other antagonist. The order of atropine and atenolol was
randomly assigned.
1 · min
1 saline
over 3 min, followed by a continuous infusion of 0.2 mg · kg
1 · h
1 in 2.5 µl · g
1 · min
1 saline. AP
was recorded for 984 s before the bolus as well as for 984 s
beginning 120 s after the start of the infusion.
Data processing. From the 500-Hz AP data, pulse interval durations (PI), mean AP, and instantaneous HR were determined for each pulse from the systolic pressure upstrokes by a custom-designed program. The values of PI were stored at 500 Hz for spectral analysis, and mean AP and instantaneous HR were stored beat by beat for determination of total variability. The accuracy of the PI determination was tested by chronically implanted electrocardiogram (ECG) electrodes. In 1,369 pulses, the PI values determined from AP at 500 Hz differed by 0.64 ± 0.72 ms (mean ± SD) from those derived by ECG at 5,000 Hz. For spectral analysis, the 500 Hz files of AP and PI were then resampled at 100 Hz. Because power above 50 Hz was negligible, no anti-aliasing filter was applied. Power spectral density (PSD) of AP and PI as well as squared coherence between AP and PI were calculated from linear trend corrected blocks of 163.84 s from the 100 Hz data by the Blackman-Tukey algorithm. Subsequent spectra from each recording were averaged. Because spectral analysis from long periods of nonstationary data may be distorted by slow, nonharmonic components, the same analysis was also calculated from blocks of 16 times shorter duration (10.24 s). These spectra were confined to the high- frequency (HF) and low-frequency (LF) range (0.293-5.0 Hz) but in these ranges led to the same results as those from the longer blocks (data not shown). The direct current (DC) component and the lowest two frequencies of each spectrum were discarded. PI values longer than twice the previous one were automatically replaced by the previous value. If no pulse was detected for more than 10 s, or if other artifacts occurred (flushing of the catheter, interruption of data acquisition), these data segments were excluded from the analysis (altogether less than 3% of data were discarded). To allow statistical testing of changes in PSD, integrated values of PSD were derived by summing the PSD values in certain frequency ranges. The frequency ranges were chosen with respect to the results of the present study (see DISCUSSION) as follows: very low frequency (VLF) <0.15 Hz; LF, 0.15-1.5 Hz; and HF, 1.5-5.0 Hz. To assess total variability in the time domain, mean AP and instantaneous HR were determined for every single beat. From these beat-by-beat values, standard deviation (SD) and coefficients of variation (SD/mean × 100%) were calculated. Statistical analysis was done by one-way ANOVA followed by the Newman-Keuls test. Integrated spectral densities were logarithmically transformed before statistical testing. An error level of P < 0.05 was considered significant.
| |
RESULTS |
|---|
|
|
|---|
Normal variability under control conditions.
An original trace of AP of one block (163.84 s) from the 1-h control
recording in one of the mice is shown in Fig.
1A. Mean values of AP and HR
from the 1-h control recordings (n = 9 ) were 106 ± 2 mmHg and 662 ± 12 beats/min, respectively (Table 1). Total
variability in terms of SD from beat-by-beat values of AP and HR was in
the range of 5% of the respective mean value (Table 1). The mean
spectra of AP and PI are shown in Fig. 1, B and C. In both spectra, there is some accumulated variability
between 2 and 5 Hz, whereas below 2 Hz, the spectra largely comprise a "1/f pattern," i.e., increasing power with lower
frequencies without discrete peaks of oscillation. Between 0.08 and 0.4 Hz of the AP spectrum, there appears to be some concentration of
variability, causing the 1/f relation to change from a
steeper to a more shallow slope with smaller frequencies. This change
in slope is most prominent around 0.1-0.2 Hz. The frequency
ranges, denoted in Fig. 1 by vertical lines, were derived from the
pattern of the spectra and their responses to autonomic blockade and
modulation, as described in more detail in DISCUSSION. It
may be of note that in two single recordings (1 after atropine and 1 in
the control before atenolol), prominent oscillations occurred at 0.9 Hz
in the absence of any other obvious abnormality. However, not any
distinct oscillation could be detected between 0.7 and 1.5 Hz in all
other of the 69 recordings.
|
|
|
Responses to inhibition of autonomic control.
Inhibition of the parasympathetic branch of HR control by atropine did
not lead to a significant tachycardia or alteration of mean AP (Table
1) compared with the 16-min control
period recorded immediately before. The variability of AP was not
altered after atropine (Fig.
3A; Table 1). In contrast to
the AP spectrum, the variability of PI was dramatically reduced at all
frequencies below 3-4 Hz after atropine (Fig. 3B),
although it did not reach statistical significance in total variability
(Table 1). This effect was most pronounced between slightly below 0.1 and 1 Hz (Fig. 3B) and waned above 1 Hz.
|
1 without changes in mean AP (Table 1). Despite the
strong effect on mean HR, the total variability of both AP and PI was
not affected (Table 1). There was also virtually no change in the AP
spectrum except for at most a very faint depression between 0.2 and 1.5 Hz (Fig. 3C). The PI spectrum displayed only a slight
elevation, which was significant in the frequency range above 1.5 Hz
(Fig. 3D).
Inhibition of
-adrenergic vasomotor control by prazosin resulted in
a drop of mean AP and an increase of HR (Table 1). The AP spectrum was
depressed between 0.1 and 2.5 Hz (Fig.
4A). This effect was most
prominent between 0.15 and 0.5 Hz. The spectral density of PI was
reduced at all frequencies below 3 Hz (Fig. 4B). As with
atropine, this effect waned above 1 Hz.
|
Responses to physiological modulation of the autonomic nervous tone. Both phenylephrine and nitroprusside caused moderate responses of mean AP and marked changes of mean HR compared with the 1-h control (Table 1).
The modulation of the autonomic tone toward sympathetic predominance during the hypotensive stimulus by nitroprusside led to a depression of AP variability between slightly below 1 Hz and up to 3 Hz (Fig. 5A, Table 1). There was also a drop of the variability, which was confined rather sharply to frequencies below 0.4 Hz, thereby unmasking a peak of rather discrete oscillations around 0.4 Hz. In contrast, the variability of PI was strongly depressed after nitroprusside at almost all frequencies (Fig. 5B). The same was seen in total variability (Table 1), although here the changes did not reach statistical significance. Similar to the observations after atropine, this reduction of variability waned above about 1 Hz and was absent above 3.5 Hz (Fig. 5B).
|
| |
DISCUSSION |
|---|
|
|
|---|
Baseline spectra.
In accordance with the findings by Janssen et al. (20) in
Swiss mice, the baseline spectra of both AP and PI observed in the
present study on conscious C57BL/6J mice were closely similar to those
in larger mammals such as humans (7, 28), dogs (2, 27, 30), cats (14), and rats (1, 9, 21,
31). From previous studies comparing the spectra of AP and PI in
rats to those in humans (1, 9, 21, 31), the picture had
emerged that the frequencies of the spectra are scaled according to HR (31). If this should also be true in the mouse, then the
frequencies from the human spectra would be scaled by a factor of
8-10. With this assumption, there are indeed major
congruencies to the human spectra. 1) There was an
accumulation of discrete oscillations in the frequency range
above 1.5 Hz in mice (>0.15 Hz in humans), which are in parallel to
respiration. Although respiratory frequency was not measured in the
present investigation, in a previous study it had been found at 210 min
1, i.e., at 3.5 Hz (37). 2)
There was a transition of the 1/f relation of the AP
spectrum from a steeper to a more shallow slope at 0.3-0.4 Hz
(0.04 Hz in dogs; Ref. 38). However, there were two
important differences to human spectra. 1) There was usually no discrete oscillation in the frequency range of 0.8 and 1.0 Hz in
mice, at which the "0.1-Hz Mayer waves" would be expected, which
occur quite regularly in humans at 0.1 Hz (7, 27, 28, 36)
and in rats at 0.4 Hz (1, 6, 9, 21, 31). The absence of a
discrete oscillation at 0.8-1.0 Hz in the present results has been
a consistent finding also in previous investigations in mice (18,
20, 25, 35, 37, 40), and such oscillations were found in only
two recordings of the present data. 2) The coherence between
AP and PI was small at 0.8-1.0 Hz in the present data as well as
in a previous report on mice (20), whereas usually a peak
is observed at 0.1 Hz in humans (27, 36) and at 0.4 Hz in
rats (8, 31).
-adrenergic blockade by at least 20% (13, 18, 20) and
up to 50% (40) has been a consistent finding in mice,
whether the baseline HR was similar (18, 20, 40) or slower
(13) than in the present study. This suggests that the
autonomic nervous tone was probably not severely altered in the animals
of the present investigation. A balanced response to atropine and
propranolol has been reported only in one study, in which the animals
were restrained in a mouse holder (37).
Modulation of the HR spectra by the autonomic nervous system. In response to pharmacological blockade of the parasympathetic branch of HR control, there was a pronounced reduction of HR variability despite only minute effects on mean HR. This reduction affected all frequencies up to about 3 Hz, but was most pronounced between 0.1 and 1 Hz, confirming previous reports (18, 20, 40). A very similar response was observed in response to physiological modulation of the autonomic tone toward sympathetic stimulation and reduction of parasympathetic tone. Conversely, with modulation of the autonomic tone into the opposite direction, the HR variability increased evenly at all frequencies. A very similar effect on the HR spectrum has been reported in mice, in which hypertension had been induced by methoxamine (40) or by NO synthase inhibition with L-NAME (20).
In contrast to the pronounced impact of parasympathetic tone on HR variability,
-adrenergic inhibition had only faint effects on the PI
spectrum despite a marked depression of mean HR. The same pattern of
response has been found after
-adrenergic blockade by metoprolol
(20). Other studies had reported variable results (18, 25, 40), but in these studies, propranolol had been used, which is less cardioselective (34) and more prone to
central effects (12) than metoprolol or atenolol.
Nevertheless, a prominent bradycardic response to
-adrenergic
blockade was found repeatedly in mice (18, 25, 37, 40),
indicating a predominance of sympathetic tone in murine control of mean
HR (18). Thus the small responses of HR variability
observed in the present study are unlikely to be due to an already
small sympathetic tone during baseline. In contrast, even at enhanced
levels of activation during the hypotensive stimulus, the sympathetic
outflow to the heart does not play a major role for HR variability in
the mouse. A slight increase of variability after
-adrenergic
blockade between 0.4 and 2 Hz has also been found in a previous study
(20) and may be explained by a suppressing effect of the
sympathetic activity on vagally mediated fluctuations
(17), which is alleviated after inhibition.
In contrast to larger animals, the capacity for a further reduction of
HR variability from the resting state is limited in mice, while there
is no such restriction for further enhancement of the variability
during parasympathetic activation by the hypotensive stimulus. This
limitation is most pronounced above 1 Hz, probably because here the
variability in the resting state is already lower than in the other
frequency ranges. The reason for this limited reduction of HR
variability is not exactly clear. It is unlikely to derive from an
insufficient resolution of the estimation of PI from the AP data,
because the same limitations were found for PI values derived from ECG
sampled at a much higher rate (40). This raises the
possibility that there might be a biological limitation for the
accuracy of HR control in mice. It should be noted that to reduce
variability to below the limit of experimental detection from 500 (present study)- or 5,000-Hz data (40), the mouse would have to restrain variations in PI to less than ±1 ms or ±0.1 ms, respectively. The observation that variability after atropine may be
further reduced in mice lacking the cholinergically controlled potassium channel (40) suggests that this conductance
might play a role for the supposed noise in HR control.
Modulation of the AP spectra by the autonomic nervous system. The spectrum of AP was remarkably stable with regard to the large concomitant changes of HR variability. A comparison of the affected frequency ranges in the AP and HR spectra suggests that the impact of the fluctuations of HR on the variability of AP is restricted almost exclusively to frequencies above 1.5 Hz. This is similar to findings in humans (32, 36), dogs (2), and rats (9, 21) in which the AP spectrum is altered by the reduction of HR variability after atropine or pacing only in the HF range, i.e., above 0.15 in humans and above 0.6 Hz in rats, but not at lower frequencies.
The reduction of AP variability induced by prazosin demonstrates the frequency range of the impact of
-adrenergic vasomotor control. The
reduction observed above 1 Hz, however, is unlikely to derive from a
direct effect of the resistance vessels. Comparison to the spectral
effects of nitroprusside rather suggests that this reduction was
secondary to the depression of HR variability. The diminution of HR
variability observed after prazosin, which was almost identical to that
after nitroprusside, was most probably the baroreflex-mediated result
of the hypotension induced by prazosin. The direct influence of
vasomotor control is therefore probably confined to the frequency range
below 1 Hz. The finding that this effect was most pronounced between
0.15 and 0.5 Hz nicely corresponds to the coherence between AP and PI,
which reached 0.5 at 0.3-0.4 Hz. Both features were also reported
in a previous investigation on mice (20).
An unexpected finding was the reduction of AP fluctuations in the VLF
range after nitroprusside. This is unlikely to derive from the smaller
variability of HR, because the reduction of AP variability was confined
rather sharply to frequencies below 0.4 Hz, which was not the case for
HR variability. The sharp onset at 0.4 Hz may suggest that this effect
is related to sympathetic vasomotor control, because the corresponding
frequency in dogs and humans (0.04 Hz) approximates the natural
frequency of baroreceptor reflex and sympathetic vasomotor responses
(33). This view would also be in congruence with the
effect of prazosin in mice being most pronounced around 0.4 Hz.
Furthermore, the marked augmentation of AP variability after
baroreceptor denervation in cats and dogs, as a correlate of the
regulatory effect of the baroreceptor reflex, is limited to a similar
frequency range (<0.06 Hz) (14, 23). The effect observed
in the present study may be specific to nitroprusside due to an
attenuating action of NO on central outflow or peripheral transmission
of sympathetic vasomotor activity (41).
Derivation of characteristic frequency ranges. To facilitate a possible transfer of knowledge from larger mammals to the spectra in mice, it is attempted in the following to derive the frequency ranges in accordance to the definitions in humans (7), dogs (27, 28), and rats (1, 9, 21, 31) based on the results of the present study.
The HF range (0.15-0.5 Hz in humans and dogs, 0.6-3 Hz in rats) is characterized by its close association with the rate of respiration (7, 28), the impact of only parasympathetic control without sympathetic contribution (7, 27). In addition, the impact of HR variability onto the variability of AP has been found to be most pronounced in this frequency range in dogs (2) and humans (36). Based on these criteria, we would suggest the HF range in mice as 1.5-5 Hz. In the LF range (0.04-0.15 Hz in humans and dogs, 0.2-0.6 Hz in rats) the impact of prazosin was found to be most prominent in most studies in rats (9, 21, 31). Furthermore, this range characteristically comprises a peak of high coherence between AP and PI (8, 27, 31, 36). Finally, the border between the LF and VLF range, at least in dogs, is typically associated with the change of the slope of the 1/f relation in the AP spectrum (38), which was the case between 0.1 and 0.2 Hz in mice in the present study. Accordingly, the LF range is proposed as 0.15-1.5 Hz. No attempt was made to delimit the ULF range, which might be expected around 0.03 Hz (<0.003 Hz in humans; Ref. 7).Therefore, we have ascribed in the present study all frequencies below 0.15 Hz to the VLF range. In larger mammals, the relation between power in the LF and the HF range (LF/HF ratio) has been proposed as a marker of sympathovagal balance (7, 27). It must be emphasized, however, that in mice, because of the limited reduction of HR variability in the HF range, the LF/HF ratio of HR variability does not change with a shift to parasympathetic predominance, and it even moves in the direction opposite to that in larger mammals during a shift to sympathetic predominance. Therefore, the LF/HF ratio is not a valuable tool in mice. A remark should be given concerning the LF range. Although the interpretation of the fluctuation at 0.4 Hz in mice as the correlate to the 0.1-Hz Mayer wave in humans has been proposed and experimentally supported by Janssen et al. (20), the occasional observation of a distinct oscillation at 0.9 Hz in the present study may suggest that it might be the latter oscillation which represents this correlate. It may be of note that in dogs oscillations at 0.05 Hz have been observed in addition to the fluctuation at 0.1 Hz (10). However, since the 0.1-Hz Mayer waves are believed to derive from feedback oscillations of the baroreceptor reflex (4), the attribution of the 0.1-Hz Mayer waves to the oscillations at 0.9 Hz in mice seems to implicate that the vascular smooth muscle in mice is capable of responses as fast as 1 Hz. Although no studies on the response times of smooth muscle in mice are available, such a fast response appears surprising. However, it should be noted that other authors have suggested that the 0.1-Hz Mayer waves derive from an interaction of the different response times of the components of the baroreceptor reflex (24), with the natural frequency of the sympathetic vasomotor response being slower (33) and that of vagal control of HR being faster (39) than the 0.1-Hz Mayer waves. In addition, the delays within the baroreceptor reflex seem to be a more important determinant for the frequency of the 0.1-Hz Mayer waves than the corner frequency of the feedback response (4). However, the question of the correct assignment of the fluctuations in the LF range cannot be settled from the present data. Therefore, the LF range was defined as including both the region of 0.4 Hz and that of 0.9 Hz.Perspectives
In mice, the spectra of HR and AP variabilities are shifted to roughly 10 times higher frequencies compared with humans. This also includes the HF range and the upper limit of the LF range. In contrast, the features within the LF range, which differ slightly from those of larger mammals, suggest that the limit between the LF and the VLF range may be at slightly smaller frequencies than expected. The variability of HR is dominated by the parasympathetic branch of HR control and may thus serve as an indicator of parasympathetic tone, but not of sympathovagal balance. Because of a limitation for a reduction of HR variability in the HF range, the LF/HF ratio of HR variability is not a valuable tool in mice. Similar to larger mammals, the contribution of HR to the variability of AP is confined to the HF range. This provides an interesting extension on the significance of the cholinergically operated potassium channel, which has been shown in a recent study to be most important for HR variability in the LF and HF range (40). The present finding of the impact of HR on AP variability in the HF range suggests that this ion channel is not only important for HR variability, but may also contribute to the control of AP.| |
ACKNOWLEDGEMENTS |
|---|
We thank D. L. Mattson, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI, for teaching us (J. Faulhaber) the skills of chronic instrumentation and maintenance of conscious mice.
| |
FOOTNOTES |
|---|
Address for reprint requests and other correspondence: A. Just, Institut für Physiologie und Pathophysiologie, Ruprecht-Karls Universität Heidelberg, Im Neuenheimer Feld 326, D-69120 Heidelberg, Germany (E-mail: armin.just{at}pio1.uni-heidelberg.de).
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Received 27 April 2000; accepted in final form 9 August 2000.
| |
REFERENCES |
|---|
|
|
|---|
1.
Akselrod, S,
Eliash S,
Oz O,
and
Cohen S.
Hemodynamic regulation in SHR: investigation by spectral analysis.
Am J Physiol Heart Circ Physiol
253:
H176-H183,
1987
2.
Akselrod, S,
Gordon D,
Madwed JB,
Snidman NC,
Shannon DC,
and
Cohen RJ.
Hemodynamic regulation: investigation by spectral analysis.
Am J Physiol Heart Circ Physiol
249:
H857-H867,
1985.
3.
Becker, KD,
Gottshall KR,
and
Chien KR.
Strategies for studying cardiovascular phenotypes in genetically manipulated mice.
Hypertension
27:
495-501,
1996
4.
Bertram, D,
Barres C,
Cuisinaud G,
and
Julien C.
The arterial baroreceptor reflex of the rat exhibits positive feedback properties at the frequency of Mayer waves.
J Physiol (Lond)
513:
251-261,
1998
5.
Brosnan, J,
and
Mullins J.
Transgenic animals in hypertension and cardiovascular research.
Exp Nephrol
1:
3-12,
1993[ISI][Medline].
6.
Brown, DR,
Brown LV,
Patwardhan A,
and
Randall DC.
Sympathetic activity and blood pressure are tightly coupled at 0.4 Hz in conscious rats.
Am J Physiol Regulatory Integrative Comp Physiol
267:
R1378-R1384,
1994
7.
Camm, AJ,
Malik M,
Bigger JT,
Breithardt G,
Cerutti S,
Cohen RJ,
Coumel P,
Fallen EL,
Kennedy HL,
Kleiger RE,
Lombardi F,
Malliani A,
Moss AJ,
Rottman JN,
Schmidt G,
Schwartz PJ,
and
Singer DH.
Heart rate variability: standards of measurement, physiological interpretation, and clinical use (Task Force of the European Society of Cardiology and the North American Society of Electrophysiology).
Circulation
93:
1043-1065,
1996
8.
Cerutti, C,
Barres C,
and
Paultre C.
Baroreflex modulation of blood pressure and heart rate variabilities in rats: assessment by spectral analysis.
Am J Physiol Heart Circ Physiol
266:
H1993-H2000,
1994
9.
Cerutti, C,
Gustin MP,
Paultre CZ,
Lo M,
Julien C,
Vincent M,
and
Sassard J.
Autonomic nervous system and cardiovascular variability in rats: a spectral analysis approach.
Am J Physiol Heart Circ Physiol
261:
H1292-H1299,
1991
10.
Cevese, A,
Grasso R,
Poltronieri R,
and
Schena F.
Vascular resistance and arterial pressure low-frequency oscillations in the anesthetized dog.
Am J Physiol Heart Circ Physiol
268:
H7-H16,
1995
11.
Davisson, RL,
Yang G,
Beltz TG,
Cassell MD,
Johnson AK,
and
Sigmund CD.
The brain renin-angiotensin system contributes to the hypertension in mice containing both the human renin and human angiotensinogen transgenes.
Circ Res
83:
1047-1058,
1998
12.
Day, MD,
and
Roach AG.
The brain as a possible site for the cardiovascular effects of
-adrenoceptor blocking agents in cats.
Clin Sci Mol Med
2, Suppl:
269s-272s,
1975.
13.
Desai, KH,
Sato R,
Schauble E,
Barsh GS,
Kobilka BK,
and
Bernstein D.
Cardiovascular indexes in the mouse at rest and with exercise: new tools to study models of cardiac disease.
Am J Physiol Heart Circ Physiol
272:
H1053-H1061,
1997
14.
di Rienzo, M,
Parati G,
Castiglioni P,
Omboni S,
Ferrari AU,
Ramirez AJ,
Pedotti A,
and
Mancia G.
Role of sinoaortic afferents in modulating BP and pulse-interval spectral characteristics in unanesthetized cats.
Am J Physiol Heart Circ Physiol
261:
H1811-H1818,
1991
15.
Dono, R,
Texido G,
Dussel R,
Ehmke H,
and
Zeller R.
Impaired cerebral cortex development and blood pressure regulation in FGF-2-deficient mice.
EMBO J
17:
4213-4225,
1998[ISI][Medline].
16.
Field, L.
Cardiovascular research in transgenic animals.
Trends Cardiovasc Med
2:
237-245,
1992[ISI].
17.
Hedman, AE,
Tahvanainen KUO,
Hartikainen JEK,
and
Hakumäki MOK
Effect of sympathetic modulation and sympathovagal interaction on heart rate variability in anaesthetized dogs.
Acta Physiol Scand
155:
205-214,
1995[ISI][Medline].
18.
Ishii, K,
Kuwahara M,
Tsubone H,
and
Sugano S.
Autonomic nervous function in mice and voles (Microtus arvalis): investigation by power spectral analysis of heart rate variability.
Lab Anim
30:
359-364,
1996
19.
James, JF,
Hewett TE,
and
Robbins J.
Cardiac physiology in transgenic mice.
Circ Res
82:
407-415,
1998
20.
Janssen, BJA,
Leenders PJA,
and
Smits JFM
Short-term and long-term blood pressure and heart rate variability in the mouse.
Am J Physiol Regulatory Integrative Comp Physiol
278:
R215-R225,
2000
21.
Japundzic, N,
Grichois ML,
Zitoun P,
Laude D,
and
Elghozi JL.
Spectral analysis of blood pressure and heart rate in conscious rats: effects of autonomic blockers.
J Auton Nerv Syst
30:
91-100,
1990[ISI][Medline].
22.
Johansson, C,
and
Thoren P.
The effects of triiodothyronine (T3) on heart rate, temperature and ECG measured with telemetry in freely moving mice.
Acta Physiol Scand
160:
133-138,
1997[ISI][Medline].
23.
Just, A,
Wagner CD,
Ehmke H,
Kirchheim HR,
and
Persson PB.
On the origin of low-frequency blood pressure variability in the conscious dog.
J Physiol (Lond)
489:
215-223,
1995[ISI][Medline].
24.
Madwed, JB,
Albrecht P,
Mark RG,
and
Cohen RJ.
Low-frequency oscillations in arterial pressure and heart rate: a simple computer model.
Am J Physiol Heart Circ Physiol
256:
H1573-H1579,
1989
25.
Mansier, P,
Medigue C,
Charlotte N,
Vermeiren C,
Coraboeuf E,
Deroubai E,
Ratner E,
Chevalier B,
Clairambault J,
Carre F,
Dahkli T,
Bertin B,
Briand P,
Strosberg D,
and
Swynghedauw B.
Decreased heart rate variability in transgenic mice overexpressing atrial
1-adrenoceptors.
Am J Physiol Heart Circ Physiol
271:
H1465-H1472,
1996
26.
Mattson, DL.
Long-term measurement of arterial blood pressure in conscious mice.
Am J Physiol Regulatory Integrative Comp Physiol
274:
R564-R570,
1998
27.
Pagani, M,
Lombardi F,
Guzzetti S,
Rimoldi O,
Furlan R,
Pizzinelli P,
Sandrone G,
Malfatto G,
Dell'Orto S,
Piccaluga E,
Turiel M,
Baselli G,
Cerutti S,
and
Malliani A.
Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog.
Circ Res
59:
178-193,
1986
28.
Parati, G,
Saul JP,
di Rienzo M,
and
Mancia G.
Spectral analysis of blood pressure and heart rate variability in evaluating cardiovascular regulation: a critical appraisal.
Hypertension
25:
1267-1286,
1995.
29.
Persson, PB.
Modulation of cardiovascular control mechanisms and their interaction.
Physiol Rev
76:
193-244,
1996
30.
Persson, PB,
Ehmke H,
Kohler WW,
and
Kirchheim HR.
Identification of major slow blood pressure oscillations in conscious dogs.
Am J Physiol Heart Circ Physiol
259:
H1050-H1055,
1990
31.
Rubini, R,
Porta A,
Baselli G,
Cerutti S,
and
Paro M.
Power spectrum analysis of cardiovascular variability monitored by telemetry in conscious unrestrained rats.
J Auton Nerv Syst
45:
181-190,
1993[ISI][Medline].
32.
Scheffer, GJ,
TenVoorde BJ,
Karemaker JM,
and
Ros HH.
Effects of epidural analgesia and atropine on heart rate and blood pressure variability: implications for the interpretation of beat-to-beat fluctuations.
Eur J Anaesthesiol
11:
75-80,
1994[ISI][Medline].
33.
Scher, AM,
and
Young AC.
Servoanalysis of carotid sinus reflex on peripheral resistance.
Circ Res
12:
152-162,
1963
34.
Singh, BN,
Nisbet HE,
Harris EA,
and
Whitlock RM.
A comparison of the actions of ICI66082 and propranolol on cardiac and peripheral
-adrenoceptors.
Eur J Pharmacol
34:
75-86,
1975[ISI][Medline].
35.
Stauss, HM,
Godecke A,
Mrowka R,
Schrader J,
and
Persson PB.
Enhanced blood pressure variability in eNOS knockout mice.
Hypertension
33:
1359-1363,
1999
36.
Taylor, A,
and
Eckberg DL.
Fundamental relations between short-term RR interval and arterial pressure oscillations in humans.
Circulation
93:
1527-1532,
1996
37.
Uechi, M,
Asai K,
Osaka M,
Smith A,
Sato N,
Wagner TE,
Ishikawa Y,
Hayakawa H,
Vatner DE,
Shannon RP,
Homcy CJ,
and
Vatner SF.
Depressed heart rate variability and arterial baroreflex in conscious transgenic mice with overexpression of cardiac Gs
.
Circ Res
82:
416-423,
1998
38.
Wagner, CD,
and
Persson PB.
Two ranges in blood pressure power spectrum with different 1/f characteristics.
Am J Physiol Heart Circ Physiol
267:
H449-H454,
1994
39.
Warner, HR,
and
Russel RO.
Effect of combined sympathetic and vagal stimulation on heart rate in the dog.
Circ Res
24:
567-573,
1969
40.
Wickman, K,
Nemec J,
Gendler SJ,
and
Clapham DE.
Abnormal heart rate regulation in GIRK4 knockout mice.
Neuron
20:
103-114,
1998[ISI][Medline].
41.
Zanzinger, J.
Role of nitric oxide in the neural control of cardiovascular function.
Cardiovasc Res
43:
639-649,
1999
This article has been cited by other articles:
![]() |
R. Howden, E. Liu, L. Miller-DeGraff, H. L. Keener, C. Walker, J. A. Clark, P. H. Myers, D. C. Rouse, T. Wiltshire, and S. R. Kleeberger The genetic contribution to heart rate and heart rate variability in quiescent mice Am J Physiol Heart Circ Physiol, July 1, 2008; 295(1): H59 - H68. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. Desjardins, I. Lobysheva, M. Pelat, B. Gallez, O. Feron, C. Dessy, and J.-L. Balligand Control of blood pressure variability in caveolin-1-deficient mice: role of nitric oxide identified in vivo through spectral analysis Cardiovasc Res, April 9, 2008; (2008) cvn080v2. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. J. Swoap, C. Li, J. Wess, A. D. Parsons, T. D. Williams, and J. M. Overton Vagal tone dominates autonomic control of mouse heart rate at thermoneutrality Am J Physiol Heart Circ Physiol, April 1, 2008; 294(4): H1581 - H1588. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Sato Quantitative evaluation of ontogenetic change in heart rate and its autonomic regulation in newborn mice with the use of a noninvasive piezoelectric sensor Am J Physiol Heart Circ Physiol, April 1, 2008; 294(4): H1708 - H1715. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Thireau, B. L. Zhang, D. Poisson, and D. Babuty Heart rate variability in mice: a theoretical and practical guide Exp Physiol, January 1, 2008; 93(1): 83 - 94. [Abstract] [Full Text] [PDF] |
||||
![]() |
V. Farah, K. M. Elased, and M. Morris Genetic and dietary interactions: role of angiotensin AT1a receptors in response to a high-fructose diet Am J Physiol Heart Circ Physiol, August 1, 2007; 293(2): H1083 - H1089. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. A. Cupples and B. Braam Assessment of renal autoregulation Am J Physiol Renal Physiol, April 1, 2007; 292(4): F1105 - F1123. [Abstract] [Full Text] [PDF] |
||||
![]() |
V. Baudrie, D. Laude, and J.-L. Elghozi Optimal frequency ranges for extracting information on cardiovascular autonomic control from the blood pressure and pulse interval spectrograms in mice Am J Physiol Regulatory Integrative Comp Physiol, February 1, 2007; 292(2): R904 - R912. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. M. Stauss Power spectral analysis in mice: what are the appropriate frequency bands? Am J Physiol Regulatory Integrative Comp Physiol, February 1, 2007; 292(2): R902 - R903. [Full Text] [PDF] |
||||
![]() |
M. Obst, J. Tank, R. Plehm, K. J. Blumer, A. Diedrich, J. Jordan, F. C. Luft, and V. Gross NO-dependent blood pressure regulation in RGS2-deficient mice Am J Physiol Regulatory Integrative Comp Physiol, April 1, 2006; 290(4): R1012 - R1019. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Julien The enigma of Mayer waves: Facts and models Cardiovasc Res, April 1, 2006; 70(1): 12 - 21. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. B. Rust, J. Faulhaber, M. K. Budack, C. Pfeffer, T. Maritzen, M. Didie, F.-X. Beck, T. Boettger, R. Schubert, H. Ehmke, et al. Neurogenic Mechanisms Contribute to Hypertension in Mice With Disruption of the K-Cl Cotransporter KCC3 Circ. Res., March 3, 2006; 98(4): 549 - 556. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. M. Ecker, C.-C. Lin, J. Powers, B. K. Kobilka, A. M. Dubin, and D. Bernstein Effect of targeted deletions of {beta}1- and {beta}2-adrenergic-receptor subtypes on heart rate variability Am J Physiol Heart Circ Physiol, January 1, 2006; 290(1): H192 - H199. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Fazan Jr., M. de Oliveira, V. J. Dias da Silva, L. F. Joaquim, N. Montano, A. Porta, M. W. Chapleau, and H. C. Salgado Frequency-dependent baroreflex modulation of blood pressure and heart rate variability in conscious mice Am J Physiol Heart Circ Physiol, November 1, 2005; 289(5): H1968 - H1975. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. J. Campen, Y. Tagaito, T. P. Jenkins, A. Balbir, and C. P. O'Donnell |