Abstract
Disruptions in circadian and diurnal rhythms are associated with stress-related psychiatric disorders and stressor exposure can disrupt these rhythms. The controllability of the stressor can modulate various behavioral and neurochemical responses to stress. Uncontrollable, but not controllable, stress produces behaviors in rats that resemble symptoms of anxiety and depression. Whether acute stress-induced disruptions in physiological rhythms are sensitive to controllability of the stressor, however, remains unknown. To examine the role of controllability in diurnal rhythm disruption, adult male Sprague Dawley rats were implanted with Data Sciences International (DSI) biotelemetry devices. Real-time measurements were obtained before, during and after exposure to a controllable or yoked uncontrollable stressor. Controllable and uncontrollable stress equally disrupted diurnal rhythms of locomotor activity and body temperature but not heart rate. The diurnal heart rate the day following stressor exposure was flattened to a greater extent and was significantly higher in rats with control over stress suggesting a relationship between stressor controllability and the heart rate response. Our results are consistent with the conclusion that acute stress-induced disruptions in diurnal physiological rhythms likely contribute little to the behavioral and affective consequences of stress that are sensitive to stressor controllability.
Keywords: Controllability, Stress, Diurnal Rhythm, Heart Rate, Body Temperature, Locomotor Activity
1. Introduction
Disruptions in normal circadian and diurnal rhythms are associated with a number of stress-related psychiatric disorders including depression [1, 2, 3, 4], anxiety [5, 6, 7, 8] and post-traumatic stress disorder (PTSD) [9, 10, 11]. Depressed individuals, for example, have altered temperature rhythms [12, 13, 14, 15], and individuals with depression, anxiety, and PTSD have disrupted cortisol and sleep rhythms [5, 6, 9, 16, 17, 18]. Despite the clear association between stress-related psychiatric disorders and disruptions in these rhythms, it remains unclear whether disruptions in diurnal rhythms are a cause or a consequence of these disorders.
Consistent with a causal relationship between diurnal rhythm disruption and stress-related psychiatric disorders are numerous observations that exposure to stress can disrupt diurnal rhythms and that rhythm disruption precedes behavioral symptoms in pre-clinical models. Chronic social defeat, for example, can disrupt normal rhythms of activity, heart rate and body temperature as well as produce depression-like behavior in rodents [19, 20, 21, 22]. Importantly, treatment with antidepressants can reverse the disruption in rhythms produced by social defeat stress [19, 20, 23, 24]. Furthermore, manipulation of clock genes can alter diurnal rhythms and increase depression- and anxiety-like behavior [25, 26, 27, 28], suggesting that disruptions in normal rhythms are sufficient to produce behavioral symptoms observed in stress-related psychiatric disorders. Together these studies support the possibility that disruptions in diurnal rhythms are not simply a consequence of stressor exposure, but could be contributing to the pathology underlying the development of stress-related psychiatric disorders.
The ability to control stress through behavioral responses is a powerful modulator of future neurochemical and behavioral outcomes of stressor exposure. In humans, diminished perception of control has been related to greater PTSD symptom severity [29]. Similarly, rodents exposed to a stressor such as uncontrollable tail shock display hyperactivity of serotonergic systems [30, 31, 32, 33], as well as depression- and anxiety-like behaviors including enhanced fear conditioning [34], reduced social exploration [35, 36, 37] and a deficit in shuttle box escape learning [30, 36]. Importantly, none of these changes occur if animals are given the opportunity to learn to control the termination of the tail shocks. Uncontrollable stressors also disrupt regular diurnal rhythms. Both uncontrollable tail shock [38, 39] and social stress [40] disrupt activity patterns in rats, while those rats that fail to counter attack during social defeat (who may lack the perception of control) suffer the greatest disruption of diurnal rhythms of locomotor activity, heart rate, and body temperature [22, 41]. Although it is clear that uncontrollable stressors can disrupt rhythms, less work has investigated whether acute stress-induced rhythm disruption is sensitive to stressor controllability. If disruptions in mechanisms underlying diurnal physiological rhythms are a causal factor in the development of symptoms of stress-related disorders, then one would predict that uncontrollable stressors would produce greater physiological rhythm disruption than do stressors that are controllable.
The purpose of the current study was to determine whether acute stress-induced disruptions in diurnal rhythms of physiology are sensitive to the controllability of the stressor. Rats were implanted with Data Sciences International (DSI) biotelemetry devices and exposed to controllable or yoked uncontrollable tail shock stress. Locomotor activity, heart rate, blood pressure, and core body temperature were measured for 24 hours prior to, during, and 48 hours following stress. The results from this work may shed light on the role of diurnal rhythm disruption in stress-related psychiatric disorders.
2. Materials and Methods
2.1 Animals
Adult male Sprague-Dawley rats (n = 10, Harlan Laboratories) weighing 200g–230g; were housed with controlled temperature (22°C) and humidity. The animals were maintained on a 12:12 hour light/dark cycle (lights on 0700–1900 hours). All rats were housed in Nalgene Plexiglas cages (45 × 25.2 × 14.7 cm) and were allowed to acclimate to the housing conditions for one week before surgery. Rats had ad libitum access to food and water and were weighed weekly. All experimental procedures were performed during the inactive cycle and animals were handled during the 1 week acclimation period. Animal discomfort was minimized during all procedures. Experimental protocols for these studies were approved by the University of Colorado Animal Care and Use Committee.
2.2 Biotelemetry Surgeries
The C50-PXT biotelemetry transmitters (Data Sciences International, St. Paul, MN) were implanted into animals as previously described [42]. Briefly, animals were fully anesthetized and unresponsive following ketamine (i.p. 75.0 mg/kg), and medetomidine (i.p. 0.5 mg/kg). Animals were shaved and prepped for surgery. Body temperature was maintained on a heating pad and monitored throughout surgery. A midline incision was made approximately 5.0 cm in length on the ventral abdominal wall. Intestines were gently moved and the abdominal aorta isolated. The abdominal aorta was occluded rostral to the catheter entry site. Once occluded, the blood pressure catheter was inserted into the abdominal aorta and secured in place with a cellulose patch (Data Sciences International, St. Paul Minnesota) and glue (3M Vetbond Adhesive). The intestines were gently floated back into place with sterile saline and the C50-PXT transmitter was sutured into the ventral abdominal wall. Finally, the ECG leads were sutured into place to measure cardiac electrical activity. Animals were allowed to recover for 10 days before recording began.
2.3 Data Acquisition and Analysis
The C50-PXT transmitter allows real time measurement of locomotor activity (LA), heart rate (HR), QA Interval (QAI), blood pressure (SBP, MAP, DBP and PP), and core body temperature (CBT). The QAI is a measure of the time (milliseconds) between the Q-wave (Q) of the QRS complex and the onset of the aortic pulse (A) and can be used as an estimate of cardiac contractility as previously described [42]. There is an inverse relationship between the QAI and cardiac contractility such that a decrease in the QAI can be estimated as an increase in cardiac contractility [42, 43, 44]. Biotelemetry recordings were acquired/analyzed using Dataquest ART 4.3 Gold Acquisition and Analysis Software (Data Sciences International, St. Paul, MN). Locomotor activity, heart rate, and blood pressure were recorded at 500 Hz. A total of 10 rats were implanted with C50-PXT transmitters but one rat was dropped from the ES group due to technical difficulties with acquiring accurate readings from the transmitter.
2.4 Experimental Design (Figure 1)
Stabilization of normal diurnal rhythms after surgery takes around 10 days [42, 45]. Therefore following 10 days of recovery, biotelemetry recordings were obtained for twenty-four hours from 0000h to 0000h (midnight to midnight) before stressor exposure (Day -1) in order to obtain accurate pre-stress diurnal variations. The following light cycle (Day 0), rats were exposed to either controllable/escapable tail shock (ES) or uncontrollable/inescapable tail shock (IS) from 0900hrs to 1100hrs. Stress during this time period is consistent with previous publications examining behavioral control over stressors [30, 33, 46] and induces greater responses in several physiological parameters, such as adrenal and body weights [47, 48]. Following stressor exposure, biotelemetry recordings were measured in the home cage immediately after, on Day 1, and on Day 2 in order to compare whether behavioral control over stressor exposure impacted subsequent diurnal physiological rhythms. Since previous studies have demonstrated altered diurnal rhythms the day following stressor exposure [22, 41, 49] and due to limited equipment availability, a non-stressed control group was not included in this experiment. Importantly, the main focus of this manuscript was whether having behavioral control over the stressful experience would alter this response, not whether stressor exposure, per sedisrupts diurnal physiological rhythms.
2.5 Stressor Controllability Procedure
As previously described [30, 35], rats were placed in clear Plexiglas boxes (11 × 14 × 17 cm) containing a wheel at the front, which were placed in sound-attenuating chambers. The tail was taped to a Plexiglass rod that extended from the back of the box, and two copper electrodes were attached to the tail with cloth tape and augmented with electrolyte paste. Tail shock was delivered by a Precision Regulated Animal Shocker operated by a computer and Graphic State 3.0 software (Coulbourn Instruments, Allentown, PA). Each rat received 100 trials of tail shock (33 trials × 1.0 mA, 33 trials × 1.3 mA, and 34 trials × 1.6 mA) on a variable interval schedule (average 60 sec; range = 20–140 sec). Tail shocks were given to yoked rat pairs (ES and IS) such that the shock terminated for both the ES and IS rats when the ES rats turned the wheel. The contingency required for the ES rats at the beginning of the stressor was a one-quarter turn of the wheel. The response requirement doubled on the subsequent trial if the response was made within 5 s of shock onset. The maximum response was 4 wheel turns. If the response was made between 6 and 20 s the requirement stayed the same. If no response was made after 30 s the shock was terminated by the computer and the escape requirement was reset to a one-quarter wheel turn. This procedure was used to insure that the ES subjects learned an operant escape response. Rats in the IS condition were placed in identical chambers but the wheel was locked in place.
2.6 Statistical Analysis
In order to examine the acute effects of controllable and uncontrollable stress on physiology, repeated measures ANOVA with time and controllability as the factors were performed on 20 minute blocks of biotelemetry data both prior to (60 min), during (120 min), and following (180 min) stressor exposure. These data were additionally collapsed into pre, during, and post-stress values and compared with repeated measures ANOVA. In order to capture the effects of stressor controllability on diurnal (i.e. day/night) differences in physiology, 12-hour averaged night values were subtracted from 12-hour averaged day values collected the day prior to, and two days following, stressor exposure (Day -1, Day 1, and Day 2). Repeated measures ANOVA were performed on the difference scores with time and controllability as factors. Finally, in order to examine in greater temporal detail how control over the stressor affected biotelemetric measures of physiology, data collected the day prior to stress and on day 1 following stress, were collapsed into 1-hour blocks. Area under the curve was calculated and groups were compared with ANOVA. Repeated measures ANOVA were also performed on the 1-hour blocks with control as a factor. When appropriate, post hoc analyses were performed using Fisher’s protected least significant differences (PLSD). Alpha was set to p < 0.05.
3. Results
3.1 Wheel rotations (Figure 2)
Rats exposed to ES quickly learned to escape such that average trial lengths were approximately 3–5 s (Figure 2). The rats in the ES group learned to terminate shock by trial block 3 (F(19, 57) = 15.163; p < 0.0001) which required a full 4 turns or 16 quarter turns. No differences in body weights were observed between the ES and IS groups prior to stress exposure (F(1,7) = 0.00011; p = 0.99) or after stressor exposure (F(1,7) = 0.002; p = 0.96)(data not shown).
3.2 Telemetric measures the day of stressor exposure (Figure 3)
Twenty-minute blocks of telemetry data obtained in the home cage immediately prior to stressor exposure (pre-stress), during exposure to stress, and upon return to the home cage (post-stress) are shown in Figure 3. The averaged values of each time point (pre, during, and post-stress) are shown in the graph insets. There were no differences between groups prior to stressor exposure and, in general, exposure to ES and IS produced similar stress responses. Locomotor activity increased during stressor exposure regardless of controllability (F(2,14) = 31.632; p < 0.0001), but returned to pre-stress levels rapidly upon return to the home cage following stress (Figure 3A). Heart rate (Figure 3B) increased during stress regardless of controllability (F(2,14) = 72.509; p < 0.0001). Heart rate remained elevated above pre-stress levels upon return to the home cage (p < 0.05); though heart rate following stress wasn’t as high as levels during stressor exposure (p < 0.05). Similar patterns were also observed for QA Interval (F(2,14) =123.178 ; p < 0.0001; Figure 3C), core body temperature (F(2,14) = 103.885; p < 0.0001; Figure 3D), and systolic blood pressure (F(2,14) = 158.858; p < 0.0001). Stress, regardless of controllability, increased mean arterial pressure both during stress and for several hours upon return to the home cage (F(2,14) = 82.697; p < 0.0001; Figure 3F). In contrast, diastolic blood pressure was elevated in both groups during stressor exposure (F(2,14) = 46.432; p < 0.0001), but rats exposed to ES had higher diastolic blood pressure both during (F(5,35) = 3.025; p = 0.02) and after (F(1,7) = 8.508; p = 0.02) stress compared to rats exposed to IS (Figure 3G). Finally, pulse pressure was increased by stress regardless of controllability (F(2,14) = 20.476; p < 0.0001), but returned to pre-stress levels within 2 hours after return to the home cage after stress (Figure 3H).
3.3 Effect of controllable and uncontrollable stress on diurnal rhythms of physiology. (Figure 4)
Stress, regardless of controllability, flattened the diurnal rhythm of locomotor activity (F(2,14) = 30.433; p < 0.0001; Figure 4A) and core body temperature (F(2,14) = 10.321; p = 0.0018; Figure 4D) for at least 2 days following stressor exposure. Stress flattened the diurnal rhythm of heart rate (F(2,14) = 18.534; p = 0.0001; Figure 4B). Surprisingly, ES, relative to IS, produced a greater flattening of the diurnal rhythm of heart rate on day 1 following stress (F(2,14) = 4.149; p = 0.0401). The normal rhythm of heart rate was restored in both ES and IS groups by day 2. Stress, regardless of controllability, produced a transient flattening of the QA Interval (F(2,14) = 9.974; p = 0.002), such that there was a significant flattening on day 1, but not day 2, when compared to pre-stress values (Figure 4C). Although there were trends for time by controllability interactions for QA Interval (F(2,14) = 3.726; p = 0.0604) and pulse pressure (F(2,14) = 3.047; p = 0.0797; Figure 4H), these differences were not significant. Diurnal rhythms of systolic blood pressure (Figure 4E), mean arterial pressure (Figure 4F), and diastolic blood pressure (Figure 4G) were not impacted by either ES or IS. Results of post hoc analyses are denoted in Figure 4.
3.4 Real-time telemetric measures in the home cage on Day 1 following stressor exposure (Figure 5)
Diurnal analysis (Figure 4) revealed the greatest flattening of activity, heart rate, and body temperature rhythms following stress, so these parameters were examined in greater temporal resolution during day 1 following stress. Although pre-stress values were not included in the analyses, pre-stress values are included in the graphs for ease of interpretation. Neither locomotor activity (Figure 5A) nor core body temperature (Figure 5E) were impacted differentially by stressor controllability. Controllable stress, however, produced a significantly higher heart rate compared to uncontrollable stress (F(1,7) = 7.046; p = 0.032; Figure 5C). For comparison with pre-stress values, area under the curve analysis was performed. Stressor exposure significantly altered the area under the curve for locomotor activity (F(2,15) = 10.103; p = 0.0017; Figure 5B), heart rate (F(2,15) = 6.215; p = 0.0108; Figure 5D) and core body temperature (F(2,15) = 7.858; p = 0.0046; Figure 5F). Post hoc analyses are denoted in Figure 5.
4. Discussion
The current study investigated whether stress-induced disruptions in diurnal physiological and behavioral rhythms are sensitive to controllability, and specifically, if exposure to an acute uncontrollable stressor would produce greater physiological rhythm disruption than exposure to a controllable one. Here we report that both uncontrollable and controllable stressor exposure disrupted diurnal rhythms. Consistent with prior reports [22, 41], diurnal rhythms were disrupted for at least 24–48 hours after stressor termination. Specifically, locomotor activity was substantially reduced during the night (active) cycle and core body temperature was substantially higher during the day (inactive) cycle compared to pre-stress levels, which is in agreement with previous studies [49]. In addition, uncontrollable stress failed to disrupt diurnal rhythms more than did controllable stress. In fact, the rhythm disruption of heart rate was greater in rats with control over tail shock than in uncontrollably stressed rats. Interestingly, there was not just a disrupted diurnal heart rate but rather a sustained elevation across both the day and night in rats with control over stress. These results suggest that the ability to control stress has little influence on the mechanisms underlying stress-induced disruptions in locomotor activity and core body temperature rhythms, but that heart rate may be differentially influenced by stressor controllability.
Although stress-induced disruptions in diurnal locomotor activity and body temperature rhythms are not sensitive to controllability, the mechanisms for their disruption may depend on a variety of factors. These factors could include stress-induced disruptions in central circuits controlling diurnal rhythms such as the suprachiasmatic nucleus (SCN) or central clock genes, and/or peripheral clock genes themselves. Interactions of these systems with glucocorticoids could also be an important factor contributing to stress-induced rhythm disruption. Per1for example, is a particularly stress-responsive clock gene, both in the periphery [50] and brain [51], and the expression of Per1 is related to circulating glucocorticoids [52]. In fact, glucocorticoids can entrain Per1 expression in the periphery [53]. Tail shock exposure increases basal circulating glucocorticoids, specifically elevating trough corticosterone levels, for at least 48 hours after exposure [54]. This increase is not sensitive to the controllability of the stressor [55]. Together, these data suggest that stress, regardless of control, could influence diurnal rhythms via a mechanism involving glucocorticoid modulation of the clock gene Per1.
In contrast to other physiological rhythms, the ability to control stress did lead to a higher sustained heart rate the day following stressor exposure. Although the difference in HR between rats exposed to ES and IS could also depend on either peripheral or central mechanisms, the ability to control stress is a psychological factor; thus implicating a central mechanism. The medial prefrontal cortex (mPFC) is critical for the differential effects of ES and IS on neurochemistry and behavior [30, 35, 56]. It is therefore possible that the mPFC mediates the differential effects of controllability on the diurnal HR response to stress. Consistent with this idea, the mPFC has been reported to be involved in stress-evoked heart rate responses [57, 58, 59, 60] and the baroreflex parasympathetic component of the cardiac response to stressor exposure [61, 62, 63]. The mPFC can be subdivided into several distinct regions including the prelimbic (PL) and the infralimbic (IL) cortex comprising the ventral mPFC [64, 65, 66], which when stimulated produces greater cardiovascular effects than other areas of the mPFC [64, 67]. Both the PL cortex and the IL cortex project extensively throughout the brain with one key difference being that only the IL cortex projects to the nucleus tractus solitarius or NTS [66, 68], which is the site of the first synapse of baroreceptor afferent projections [69]. Furthermore, the IL cortex receives strong afferent input from the SCN [70] and there are diurnal differences in structural plasticity of pyramidal cells within the IL cortex which are reduced by stressor exposure [71]. One explanation, therefore, could be that having control over the stressor transiently alters neurotransmission within the mPFC leading to the higher sustained heart rate the day following stressor exposure.
Regardless of the mechanism, it is of interest to speculate whether a sustained elevation in heart rate following exposure to a controllable versus an uncontrollable stressor is somehow adaptive or beneficial. Although chronic elevations in HR can contribute to stress-related illness such as cardiovascular disease [72, 73], the elevation in heart rate in rats exposed to controllable stress was temporary since within 48 hours after stress the heart rate in rats with control had almost returned to pre-stress levels (Figure 4B, Day 2). It is possible that the temporary elevation in HR following ES reflects an adaptive, preparatory response to facilitate fighting or fleeing from subsequent challenges. Future studies could examine whether a sustained elevation in heart rate after a controllable stressor depends on mPFC involvement.
In conclusion, the current results are largely in agreement with previous studies reporting that acute stressor exposure produces disruptions in physiological diurnal rhythms. We add to this literature by demonstrating that behavioral control over stress modulated the effect of stress-induced HR rhythm disruption, but had little impact on stress-induced rhythm disruption in core body temperature and locomotor activity. Our results are consistent with the interpretation that acute stress-induced disruptions in diurnal physiological rhythms are a consequence of stressor exposure and likely do not directly contribute to the behavioral and affective consequences of stress that are sensitive to stressor controllability.
Highlights.
Rhythm disruption is linked to stress-related disorders and stress disrupts rhythms.
Control over stress modulates various behavioral/neurochemical responses to stress.
Uncontrollable stress produces behaviors resembling symptoms of anxiety/depression.
Stress-induced rhythm disruption may be sensitive to controllability of the stressor.
Diurnal heart rate, but not activity or temperature, is sensitive to control.
Footnotes
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Contributor Information
Robert S. Thompson, Email: robert.s.thompson@colorado.edu.
John P. Christianson, Email: john.christianson@colorado.edu.
Thomas M. Maslanik, Email: thomas.maslanik@colorado.edu.
Steve F. Maier, Email: steve.maier@colorado.edu.
Benjamin N. Greenwood, Email: ben.greenwood@colorado.edu.
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