Hostname: page-component-745bb68f8f-kw2vx Total loading time: 0 Render date: 2025-02-11T21:15:11.104Z Has data issue: false hasContentIssue false

Middle-range exploratory activity in adult rats suggests higher resilience to chronic social defeat

Published online by Cambridge University Press:  16 December 2015

Denis Matrov
Affiliation:
Department of Psychology, Estonian Centre of Behavioural and Health Sciences, Division of Neuropsychopharmacology, University of Tartu, Tartu, Estonia
Kadri Kõiv
Affiliation:
Department of Psychology, Estonian Centre of Behavioural and Health Sciences, Division of Neuropsychopharmacology, University of Tartu, Tartu, Estonia
Margus Kanarik
Affiliation:
Department of Psychology, Estonian Centre of Behavioural and Health Sciences, Division of Neuropsychopharmacology, University of Tartu, Tartu, Estonia
Krista Peet
Affiliation:
Department of Psychology, Estonian Centre of Behavioural and Health Sciences, Division of Neuropsychopharmacology, University of Tartu, Tartu, Estonia
Karita Raudkivi
Affiliation:
Department of Psychology, Estonian Centre of Behavioural and Health Sciences, Division of Neuropsychopharmacology, University of Tartu, Tartu, Estonia
Jaanus Harro*
Affiliation:
Department of Psychology, Estonian Centre of Behavioural and Health Sciences, Division of Neuropsychopharmacology, University of Tartu, Tartu, Estonia
*
Dr. Jaanus Harro, Department of Psychology, Estonian Centre of Behavioural and Health Sciences, Division of Neuropsychopharmacology, University of Tartu, Ravila 14A Chemicum, 50411 Tartu, Estonia. Tel: +372 7376657; Fax: +372 7375900; E-mail: jaanus.harro@ut.ee
Rights & Permissions [Opens in a new window]

Abstract

Objective

Stressful life events play an important role in the aetiology of human mood disorders and are frequently modelled by chronic social defeat (SD) in rodents. Exploratory phenotype in rats is a stable trait that is likely related to inter-individual differences in reactivity to stress. The aim of the study was to confirm that low levels of exploratory activity (LE) are, in rodents, a risk factor for passive stress coping, and to clarify the role of medium (ME) and high (HE) exploratory disposition in the sensitivity to SD.

Methods

We examined the effect of SD on male Wistar rats with LE, ME, and HE activity levels as measured in the exploration box. After SD, the rats were evaluated in social preference, elevated zero maze, and open-field tests. Brain tissue levels of monoamines were measured by high-performance liquid chromatography.

Results

Rats submitted to SD exhibited lower weight gain, higher sucrose consumption, showed larger stress-induced hyperthermia, lower levels of homovanillic acid in the frontal cortex, and higher levels of noradrenaline in the amygdala and hippocampus. Open-field, elevated zero maze, and social preference tests revealed the interaction between stress and phenotype, as only LE-rats were further inhibited by SD. ME-rats exhibited the least reactivity to stress in terms of changes in body weight, stress-induced hyperthermia, and sucrose intake.

Conclusion

Both low and high novelty-related activity, especially the former, are associated with elevated sensitivity to social stress. This study shows that both tails of a behavioural dimension can produce stress-related vulnerability.

Type
Original Articles
Copyright
© Scandinavian College of Neuropsychopharmacology 2015 

Significant outcomes

  • Inter-individual differences exist in vulnerability to stress in rodent depression models.

  • Low exploring rats consistently chose passive coping strategies after chronic social defeat (SD).

  • Rats of middle-range exploratory (ME) disposition are good candidates for identifying mechanisms of stress resilience.

Limitations

  • Only male rats were studied due to the low aggressiveness of female rats.

  • Limited neurochemical information on only three brain regions is available.

Introduction

Depressive disorders are widespread and by year 2010 became the second leading cause of years lived with disability, wherein depression alone accounted for 8.2% of global disability (Reference Ferrari, Charlson and Norman1). It is well established that stress exposure is an independent risk factor for depressive disorders and major life events increase the likelihood of onset of the first episode of major depression several fold (Reference Kendler, Thornton and Gardner2). Furthermore, stressors differ in their impact, as there exist stressor-specific central pathways that differentially regulate the sympathoneuronal and adrenomedullary outflow, as well as the activity of the hypothalamic–pituitary–adrenal (HPA) axis (Reference Pacák and Palkovits3). Both clinical and translational research suggests that social relations are particularly important for mental well-being (Reference Deakin4,Reference Shively and Willard5). Depression risk is estimated to be the highest when a major adverse event is coupled with social rejection. For example, a self-initiated divorce or break-up of the relationship confers smaller risk than a similar event initiated by the partner (Reference Kendler, Hettema, Butera, Gardner and Prescott6). Another study has found that humans who had experienced a recent major life event involving targeted rejection became depressed three times faster than their counterparts who had experienced other forms of stressful events, but without the humiliation of being rejected (Reference Slavich, Thornton, Torres, Monroe and Gotlib7).

Improved understanding of the largely social origins of the initial episodes of mood disorders has catalysed the development and application of social stress models in translational research. Among them the SD paradigm is most widely adopted. The SD model is based on the antagonistic encounter between a resident rat, which is usually larger and selected for its aggressiveness, and an intruder rat, who is forced to enter resident’s territory and in most cases suffers one or many physical attacks from the angry resident (Reference Koolhaas, Coppens, De Boer, Buwalda, Meerlo and Timmermans8). Hence, the SD paradigm not only imitates the social nature of a stressful situation, but also narrows it down to the event of social rejection and humiliation, as the intruder rat is usually not able to withstand the attacks of the resident and must repeatedly engage in submissive behaviours. No habituation to the repeated SD stress occurs in glucocorticoid and sympathetic responses (Reference Tidey and Miczek9) and even a single episode of SD is sufficient to produce long-lasting behavioural and physiological changes in affected animals (Reference Meerlo, Overkamp, Daan, Van Den Hoofdakker and Koolhaas10Reference Meerlo, Overkamp, Benning, Koolhaas and van den Hoofdakker12). Typical findings in the SD paradigm in defeated rats include potentiated release of adrenocorticotropic hormone and glucocorticoids with the concurrent inhibition of androgens, but also hyperthermia, decreased exploratory and social activity, higher immobility in the forced swim test (FST), and altered synaptic plasticity (Reference Miczek, Yap and Covington13Reference Chaouloff15).

Still, in humans even a highly stressful social environment is depressogenic only in the subpopulation of individuals. Experimental primate studies have confirmed that individual resilience to social stress is important, as not every socially stressed monkey succumbs to the depressive-like behaviour (Reference Shively and Willard5). Hence, to improve the predictive validity of animal models of depression it is necessary to account for the individual sensitivity to stress, and numerous rodent models of human affective and mood disorders have been developed to capitalise on the inter-individual differences in behaviour and underlying neurobiology (Reference Harro16,Reference Armario and Nadal17). Amongst the evolutionarily relevant behavioural strategies, approach-avoidance conflict as expressed in novelty-related, exploratory behaviour (EB) offers an easy distinction between animals with profoundly different adaptive responses. EB in rodents is a stable and easily quantifiable behavioural tendency that comprises both motivational and affective facets. After a series of pharmacological experiments we selected to use the exploration box test as previously described (Reference Otter, Matto, Sõukand, Skrebuhhova, Allikmets and Harro18) to separate rats with stable expression of low versus high exploratory activity (LE- vs. HE-rats) over repeated testing for many months (Reference Mällo, Alttoa, Kõiv, Tõnissaar, Eller and Harro19). In acute experiments, the LE-rats are more vulnerable to stress: while there was no difference in behaviour in familiar surroundings, the LE-rats displayed higher anxiety levels in the elevated plus maze (EPM), increased immobility in the FST, and retained a more enduring association between neutral and stressful stimuli in the fear conditioning test (Reference Mällo, Alttoa, Kõiv, Tõnissaar, Eller and Harro19). Wistar LE-rats consumed less sucrose water, but also tap water during two 1 h testing sessions, which may be explained by their neophobia towards change in the drinking conditions. Nevertheless, in the social interaction test of anxiety the Wistar LE- and HE-rats behaved similarly (Reference Mällo, Alttoa, Kõiv, Tõnissaar, Eller and Harro19). A number of neurochemical differences may underlie the behavioural variation between LE- and HE-rats: LE-rats had higher number of 5-hydroxytryptamine (5-HT) transporter-binding sites and increased citalopram-induced 5-HT release in the prefrontal cortex, whereas citalopram-induced serotonin release in the dentate gyrus was higher in HE-rats (Reference Mällo, Kõiv and Koppel20). In the striatum, LE-rats show lower baseline and amphetamine-stimulated dopamine (DA) levels and lower proportion of D2 DA receptors in the high-affinity state (Reference Mällo, Alttoa, Kõiv, Tõnissaar, Eller and Harro19,Reference Alttoa, Seeman, Kõiv, Eller and Harro21), as well as lower glutamate levels after uptake inhibition (Reference Raudkivi, Alttoa, Leito and Harro22).

Despite the apparent vulnerability of LE-rats in acute experiments, their adaptive capacity in a chronic mild/variable stress experiment was largely comparable with that of HE-rats, despite of a slightly larger early stress effect (Reference Matrov, Vonk, Herm, Rinken and Harro23). Instead, in the course of chronic stress LE- and HE-rats became similar in a number of tests, even though the defining phenotype persisted, the LE- and HE-rats still remaining robustly different in the exploration box test. We reasoned that both active and passive coping strategy in novel surroundings may facilitate adaptation to challenges from physical environment and hence set out to examine whether the SD stress would reveal differential vulnerability better. We have also included rats with ME activity as an internal control phenotype, as it has been suggested to facilitate interpretation of the effects of experimental manipulations (Reference Armario and Nadal17).

Methods

Animals and general procedures

At the age of 2–3 months male Wistar rats (Harlan Laboratories, Venray, The Netherlands) were tested in exploration box and, based on their behaviour on the 2nd day of testing, assigned into groups of LE (n=20), ME (n=24), and HE (n=20) activity, respectively. In total, 200 animals were tested in the selection process, hence the selected HE and LE animals represent tails of the behavioural distribution (frequency distribution of selected rats can be viewed in Fig. 1). Half of each selection group was submitted to SD procedure. The rats belonging to the same experimental condition were group-housed together (n=4) in standard, transparent polypropylene cages with food (Diet R70, Lactamin AB, Kimstad, Sweden) and water available ad libitum for the duration of the experiment. Room temperature was maintained at 21±1°C and controlled 12-h light cycle (lights on 08:00–20:00 h) was implemented. After the conclusion of exploration box testing and re-housing, animals were allowed 2 weeks to become used to the new housing conditions. Two LE- and two HE-rats shared each cage, whereas ME-rats were housed with other ME-rats. A 15 days long SD procedure commenced when rats came to 4 months of age. The baseline tests for stress-induced hyperthermia (SIH) and sucrose preference were carried out just before the commencement of the SD regimen, whereas behavioural test battery that included social preference, elevated zero maze (EZM), open-field (OF) test, and FST followed after the end of SD. The rats were weighed daily during the SD. SIH was again measured at the conclusion of the SD exposure series, whereas two additional sucrose preference tests were carried out in the middle of SD and its end, respectively. Upon the conclusion of SD period, all rats were submitted to the behavioural test battery and sacrificed thereafter. Levels of biogenic amines and their metabolites were measured by high-performance liquid chromatography (HPLC) in the frontal cortex, the amygdala, and the hippocampus. Fig. 2 shows schematically the sequence of experimental procedures. All experimental procedures were carried out in accordance with EU legislation (directive 2010/63/EU) and the experimental protocol was approved by the Animal Experimentation Committee at the Estonian Ministry of Agriculture.

Fig. 1 Distribution of activity scores on the 2nd day of testing in the exploration box. Based on these scores three exploratory phenotypes were identified as low (dark grey bar), medium (light grey bars), and high exploratory activity rats (white bars).

Fig. 2 The general timeline of experimental procedures. SIH, stress-induced hyperthermia.

Selection in the exploration box

The exploration box test was carried out as described (Reference Mällo, Alttoa, Kõiv, Tõnissaar, Eller and Harro19). Briefly, the exploration box was made of metal and consisted of a 0.5×1 m open area (height of side walls 40 cm) with a 20×20×20 cm small compartment opening to one of the shorter sides of the arena, which was divided into eight squares of equal size and contained four objects, three novel and one familiar. A rat was placed into the small compartment and for the next 15 min latency to enter, entries into, and time spent in the open area; as well as the exploratory events in the open area such as line crossings, rearings, and object investigations were registered. Rats were tested in the exploration box for 2 consecutive days to determine their stable exploratory activity levels and were assigned to the corresponding exploratory activity groups on the basis of the sum of exploratory activity during the second testing session (Fig. 1).

Chronic SD regimen

Chronic SD regimen consisted of 15 daily 1 h sessions where rats assigned to stress condition (intruders) confronted a physically larger and aggressive male rat (resident) in the resident’s home cage. Our SD procedure employed reliably evoked aggressive dominance on the part of the resident over intruder to produce daily repeating occurrences of social submissiveness in intruders (Reference Koolhaas, Coppens, De Boer, Buwalda, Meerlo and Timmermans8). A total of 44 Wistar rats mostly in group-housing, but housed in individual cages in the beginning of the SD regimen, were used as residents. These residents were selected on the basis of their greater body weight over intruders (482–721 g at the beginning of SD regimen vs. 321–439 g weight of the intruders) to assure that all intruders were defeated. The aggressiveness in residents was further facilitated and made less variable by daily subcutaneous injections of apomorphine (1 mg/kg dissolved in 0.001% ascorbic acid) as described previously (Reference Pruus, Rudissaar, Skrebuhhova-Malmros, Allikmets and Matto24,Reference Kanarik, Alttoa and Matrov25). Each day the intruders were confronted with a different resident. One of the experimenters was always observing the intruder–resident encounters ready to intervene and prevent any serious bodily harm to the intruders by dragging the rats apart. No physical damage occurred. Control animals were left alone in a novel cage in a separate room for 15 daily 1 h sessions.

Sucrose preference test

The preference for 1% sucrose solution over normal drinking water was measured three times during the experiment: right before the commencement of SD regimen, between SD days 7 and 8, and at the conclusion of the SD regimen. For the duration of the test animals were housed in single-occupancy cages and provided with a choice of two drinking bottles: one with a sucrose water and another with ordinary drinking water. The consumption of fluids was measured by weighing the filled bottle before the experiment, 1 h into the experiment, and 10 h after the beginning, which marked the conclusion of the experiment. Sucrose preference was computed by dividing the consumption of sucrose water by the total consumption of the fluids. The fluids intake was also normalised by animal’s body weight. Testing took place during the dark phase of the light cycle. The position of the bottles was balanced between trials. Food was provided freely during the experiment.

SIH

SIH effect refers to the reliable short-lasting elevation of core body temperature in response to acute stress. It is modulated by anxiety phenotype and degree of habituation to a stressor (Reference Vinkers, van Bogaert and Klanker26). SIH was measured twice in an experimental room, before the commencement of the SD regimen and right after its conclusion, as described before (Reference Kõiv and Harro27).

Social preference test

A modified version of the social preference test described by Berton et al. (Reference Berton, Mcclung and Dileone28) was implemented. A rat was placed for 10 min at the centre of a rectangular box (98×98×40 cm) with walls and floor painted black. Identical small wire-mesh cages were located in the two diagonally opposing corners of the box, one of them was empty and another contained an unfamiliar rat. The unfamiliar rats were male and from the same batch as experimental animals and roughly of the same age and weight distribution. For scoring purposes, the floor of the box was partitioned into several imaginary zones. One-fourth of the box that surrounded the cage with the rat was designated the ‘interaction zone’, whereas the opposing area surrounding the empty cage was designated as the ‘novelty zone’. In addition, the ‘central zone’, as well as narrow corridors around the cages were designated, respectively, as ‘close interaction’ and ‘close novelty’ zones. Testing sessions were recorded on digital video and scored using behaviour tracking and analysis software EthoVision XT8 (Noldus Information Technology, Wageningen, The Netherlands). High mobility state (s) was algorithmically calculated in EthoVision as the duration for which the complete area detected as animal is changing, even if the centre point remains the same. In addition, social interaction was scored by an experimenter with a timer.

EZM test

The EZM test (Reference Shepherd, Grewal, Fletcher, Bill and Dourish29) was conducted as previously described (Reference Matto, Harro and Allikmets30). An elevated annular platform was equally divided into two opposing enclosed quadrants that were connected by open quadrants. The outer diameter of the annulus was 105 cm and its width 10 cm. The apparatus was elevated 72 cm above the floor and the height of the walls in the enclosed quadrants was 28 cm. Test animal was placed at the centre of one of the open quadrants for 10 min and recorded on digital video. Such measures as latency to enter the closed quadrant, latency to re-enter the open quadrant, time spent in open and closed quadrants, number of stretch-attend postures and head dips over the edge of the open quadrant were scored by an experimenter blind to the experimental group. The open quadrants were also divided into three equidistant parts to quantify the locomotor activity of a rat.

OF

In this experiment, a painted black square box (78×78×34 cm) with open top was used. During automatic scoring with EthoVision XT8 software, the apparatus was divided into three imaginary parts: the centre, corners, and wall adjacent areas. The centre was defined as square with the side of 39 cm. Thigmotaxic area was 7 cm wide corridor adjacent to the walls. Each rat was placed in the centre of the box and its behaviour recorded for 10 min.

FST

FST, as first described by Porsolt et al. (Reference Porsolt, Anton, Blavet and Jalfre31) and subsequently modified, was carried out as previously described (Reference Matrov, Vonk, Herm, Rinken and Harro23). The test behaviour was manually scored into three categories of struggling, swimming, and immobility from video playback by an experimenter blind to group assignments.

HPLC

Monoamines and their metabolites were assayed by HPLC with electrochemical (amperometric) detection. Rat brain tissues were homogenised with an ultrasonic homogeniser (Bandelin Sonopuls, Berlin, Germany) in ice-cold solution of 0.1 M perchloric acid (30 μl/mg for amygdala and 50 μl/mg for hippocampus and frontal cortex) containing 5 mM of sodium bisulphite and 0.4 mM ethylenediaminetetraacetic acid (EDTA) to avoid oxidation. The homogenate was then centrifuged at 14 000 rpm for 10 min at 4°C. Aliquots (10 μl) of the obtained supernatant were chromatographed on a Luna C18(2) column (150×2 mm, 5 μm). The separation was done in isocratic elution mode at column temperature of 30°C using the mobile phase containing 0.05 M sodium citrate buffer at pH 3.7, 0.02 mM EDTA, 1 mM KCl, 1 mM sodium octanesulphonate, and 7.5% acetonitrile. The chromatography system consisted of an isocratic pump (Agilent, Waldbronn, Germany), a temperature-regulated autosampler, a temperature-regulated column compartment, and an HP 1049 electrochemical detector (Agilent, Waldbronn, Germany) with glassy carbon electrode. The measurements were done at an electrode potential of +0.7 V versus the Ag/AgCl reference electrode. The limits of detection at signal-to-noise ratio=3 were as follows (expressed as pmol/mg tissue for each): 0.08 for DA, 0.10 for homovanillic acid (HVA), 0.05 for 3,4-dihydroxyphenylacetic acid, 0.08 for 5-HT, 0.04 for 5-hydroxyindoleacetic acid, 0.07 for noradrenaline (NA), and 0.03 for normetanephrine.

Data analysis

Multivariate normality of the data set was confirmed with Mardia’s test of multivariate skewness and kurtosis. Kurtosis of the data did not differ from normality, whereas a slight positive skewness was present (p<0.05). Overall, the data was deemed to approach the normal distribution and hence parametric statistical tests were used throughout. The only exception was the results of EB, where analysis of variance (ANOVA) score is presented for convenience, whereas a more appropriate Kruskal–Wallis test did show equally strong group differences. ANOVA was generally performed with two between-subjects factors: Stress (divided into SD and control conditions) and Exploration (divided into LE, ME, and HE conditions). Repeated measurements of the same construct were treated as within-subjects Time factor. Post hoc tests were performed by the least significant difference method. Correlations were computed by Pearson’s product-moment method with Holm’s adjustment for multiple comparisons. Statistical analysis was performed with SPSS and R software packages.

Results

Selection in the exploration box

Univariate ANOVA with subsequent post hoc tests confirmed the statistically significant group differences between LE-, ME-, and HE-rats in the sum of exploratory activity on the 2nd day of testing [F(2,61)=296.3, p<0.005; corresponding scores: LE 0±0 vs. ME 101.9±8.1 vs. HE 212.7±23.1, p<0.0001 for all comparisons; Fig. 1].

Changes in body weight

Whereas right before the commencement of the SD regimen the groups did not differ in body weight, after 1 week of the daily stress sessions its effect was statistically significant [F(1,58)=11.5, p<0.01] and increased further after 2 weeks [F(1,58)=20.2, p<0.0001; Fig. 3a]. After the first SD week the stress effect was statistically significant in HE-rats, and after full 2 weeks of stress regimen each stress group weighed less than the respective control group (post hoc comparisons, all p<0.05). All control groups gained weight during the SD, whereas stress groups either lost or maintained their prior weight [F(1,58)=209.1, p<0.0001; Fig. 3b]. The mean weight gain for control animals was 22.9±1.2 and −3.1±1.4 g for stressed rats (p<0.001). ANOVA further demonstrated the interaction between Stress and Exploration [F(2,58)=3.6, p<0.05]. Post hoc tests clarified that this effect was primarily due to the difference between Stress HE and ME groups (p<0.05).

Fig. 3 (a) Body weight (g) before and over 2 weeks of the social defeat (SD) regimen. (b) Weight gain (g) after 2 weeks of SD regimen (2 weeks minus PRE): all SD groups differ from respective Controls (C) (p<0.001). #p<0.05 versus SD/ME group. Data expressed as means±SEM. HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

Sucrose preference test

Rats clearly preferred sucrose water over the plain tap variety from the first baseline measurement before the commencement of the SD regimen. Henceforth, we discuss the changes of this preference after 2 weeks of stress as compared with the baseline. After 1 h of testing no significant effects of either Stress or Exploration were detected; however, after the full 10 h of testing the main effect of Stress had emerged [F(1,58)=6.6, p<0.05]. Whereas the sucrose water intake increased in all groups, in stress condition the gain was higher. The LE/SD group had the largest and significant gain (Fig. 4b). The repeated measures ANOVA of sucrose water intake (Fig. 4a) confirmed the increase with subsequent trials [Time F(1,58)=12.7, p<0.001] and the higher consumption by SD groups over time [interaction of Time and Stress F(2,58)=4.5, p<0.05]. When sucrose intake was normalised per kilogram of body weight, the effect of Stress in repeated measures ANOVA became stronger [F(1,58)=7.6, p<0.001]. Conversely, on subsequent trials rats drank less ordinary water [Time F(1,58)=15.5, p<0.001; data not shown]. The preference for sucrose increased during the repeated testing and started to approach ceiling on the third test (Figs 4c and d). In the repeated measures ANOVA only the Time factor was significant for both 1 and 10 h measurements [F(1,58)=13.3 and 8.8, respectively; both p<0.001].

Fig. 4 (a) Ten-hour 1% sucrose water consumption (g) before and over 2 weeks of the social defeat (SD) regimen. (b) Change in 1% sucrose intake after 2 weeks of SD regimen (2 weeks minus PRE). (c) Ten-hour 1% sucrose water preference (% of total liquid consumed) before and over 2 weeks of the SD regimen. (d) Change in 1% sucrose water preference after 2 weeks of SD regimen (2 weeks minus PRE). ¤p<0.05 versus respective Control (C). HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

SIH

Core body temperature was measured first time before the onset of the SD regimen and second time upon its conclusion. As expected, the first act of measurement (T 0) served as an acute stressor and led to the elevated temperature 15 min later (T 15), from 36.9±0.05°C to 38.0±0.04°C in the first trial [F(1,58)=537.0, p<0.001; Fig. 5a], while exploratory phenotype had no effect. The second trial caused the temperature rise from 36.6±0.05°C to 37.8±0.05°C. Herein emerged Time×Stress [F(1,58)=6.9, p<0.05] and Time×Stress×Exploration [F(2,58)=5.2, p<0.01] interactions. The difference between the initial and stress-induced body temperature was smaller for control rats (from 36.6±0.06°C to 37.7±0.07°C) than for SD animals (from 36.5±0.07°C to 37.9±0.06°C, p<0.05). In stress-induced T 15, an interaction between Stress and Exploration factors was identified [F(2,58)=4.0, p<0.05]. Post hoc comparisons indicated a significantly higher body temperature in SD/HE and SD/LE rats as compared with respective control groups (Fig. 5b).

Fig. 5 Stress-induced hyperthermia (ΔT=T 15T 0) as measured before (a) and after 2 weeks of the social defeat (SD) regimen (b). ¤p<0.05, ¤¤p<0.01 versus respective Control (C). HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

Social preference test

All experimental groups spent less time in the quadrant with a non-social stimulus and did not exhibit statistically significant difference in their preference for non-social novelty. Analysis of the social preference revealed the significant effects of Exploration [F(2,58)=3.7, p<0.05] and Stress factors [F(1,58)=4.1, p<0.05]. Socially defeated LE-rats displayed higher social preference than C/LE and also all other SD groups (Fig. 6a). Similar results were obtained by analysing time spent in the social quadrant (data not shown).

Fig. 6 Activity in the social preference test 5 days after the end of the social defeat (SD) regimen. (a) Preference of the social quadrant of the apparatus [time spent in the quadrant with a wire-mesh cage occupied by an unfamiliar conspecific minus time spent in the quadrant with a similar empty cage (s)]. (b) Time spent in the close interaction zone near the cage with an unfamiliar conspecific in it (s). (c) Social interaction with the unfamiliar stimulus rat (s). (d) Distance moved around in the social preference box (cm). (e) Time spent in ‘highly mobile’ state (s). (f) Rearings on hindpaws. ¤p<0.05, ¤¤p<0.01 versus respective Control (C); *p<0.05, **p<0.01, ***p<0.001. HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

The time spent in the narrow area adjoining the socially primed and empty novel cages reflected a more focussed interest of tested animals towards novel stimuli. The time spent in the ‘social’ area revealed similar results to those exhibited in the quadrant with the social stimulus: both Stress [F(1,58)=4.7, p<0.05] and Exploration [F(2,58)=6.3, p<0.01] factors were statistically significant. Defeated LE-rats spent most time in the area around the social stimulus and differed significantly as compared with control LE, SD/ME, and SD/HE groups (Fig. 6b). Of the total time spent in the social quadrant, each animal remained on average 93.9% of time in the narrow area, herein the SD/LE again had the highest group score of 97.0%. In contrast, half of the SD/LE rats, as well as some members from other groups never entered the quadrant with the novel but vacant cage. For those animals who entered that quadrant, acquaintance with the novel stimulus was evidently still the predominant goal, as on average 88.5% of time was spent around the cage, with C/LE showing the highest preference of 91.5%. Overall, rats preferred to spend on average 59.6% of their test time in the narrow ‘social’ area. Among them, SD/LE rats were the most (77.2%) and C/ME rats the least (48.6%) social.

Social interaction between a rat undergoing testing and a previously unknown conspecific confined to the small cage was another indicator of a rat’s social motivation (Fig. 6c). Its interpretation is not straightforward, as both rats have to be willing to interact. Percentage-wise, 7.1% was spent in the social interaction across all experimental groups. SD/LE rats spent the least time in the social interactions (4.4%), whereas SD/HE rats spent the most time (9.3%). The main effect of Exploration [F(2,58)=5.8, p<0.01] was present: C/HE rats were more active than the C/LE group, whereas SD/HE animals were more socially active than SD/LE conspecifics. Overall, HE-rats were more socially engaged than LE animals (29.7±4.3 vs. 15.9±2.2 s, p<0.01). Therefore, while LE-rats spent more time in the socially primed quadrant, HE-rats were more engaged in the social interaction. HE-rats also exhibited higher levels of motor activity in the quadrant with the social stimulus as measured by the number of entrances to the narrow ‘social’ area [Exploration F(2,58)=24.4, p<0.001; HE 19.0±1.5 vs. LE 8.3±1.1 s, p<0.001]. The higher locomotor activity of HE-rats was, however, not specific to the quadrant with the social stimulus, as the number of entrances in the narrow area adjoining the novel empty cage was also significantly higher in HE-rats [Exploration F(2,58)=23.4, p<0.001; HE 12.1±1.0 vs. LE 4.6±1.1 s, p<0.001]. In the overall distance traversed in the test arena, both Stress [F(1,58)=5.3, p<0.05] and Exploration [F(2,58)=33.4, p<0.001] factors were significant (Fig. 6d). To analyse the locomotor activity in the entire test arena, the opposing conditions of high mobility and immobility were compared. Exploratory phenotype had a big impact on high mobility (Fig. 6e) [F(2,57)=32.5] and, conversely, immobility [F(2,57)=11.8, both p<0.001]. HE-rats spend 120.9±8.8 s in the highly mobile state and 225.5±9.7 s being immobile, whereas LE animals were highly mobile for only 38.5±7.4 s and immobile for 312.3±22.8 s (p<0.001 for both comparisons). ME-rats generally did not differ from the HE group in the presented scores of locomotor activity, but were less engaged in high mobility behaviours (95.2±5.52 s) (p<0.05). Both Stress [F(1,58)=18.8, p<0.001] and Exploration [F(2,58)=13.8, p<0.001] factors were significant for rearing activity (Fig. 6f). HE- (24.2±1.8) and ME- (25.9±1.5) rats recorded a significantly higher number of rearings than LE conspecifics (15.7±1.6, p<0.001 for both comparisons). Control condition animals also reared more often than SD rats (25.9±1.6 vs. 18.4±1.2, p<0.0001). The number of rearings correlated highly with the total distance travelled by the animal in the test apparatus (r=0.78, p<0.001). However, it was not correlated with the time of social interaction.

In conclusion, SD/LE rats preferred to spend time in the vicinity of the unknown conspecific, but rarely actively engaged it in the social interaction. HE- and ME-rats were mostly similar in their behaviour, characterised by active exploration of the entire test apparatus. Stress was associated with the small increase of passive social preference.

EZM

Rats spent on average 41.2% of their time in the open part of the apparatus. Among them, stressed animals of all three exploration levels spend more time on the open quadrants than respective control animals, but the difference was rather trivial (43.3% vs. 39.0%). For the number of line crossings, the Exploration factor was significant [F(2,58)=5.1, p<0.01]. LE-rats crossed fewer lines than either the ME or HE conspecifics (36.2±4.7 vs. 50.8±3.5 and 54.7±4.6, respectively, both p<0.05) (Fig. 7a). In post hoc comparisons, the difference between SD/LE versus SD/HE and SD/ME groups was significant (29.8±7.9 vs. 59.3±7.1 and 49.8±3.5, respectively, p<0.05 for both comparisons). Similar results were obtained for the number of entrances into the open quadrants (Fig. 7b). Exploration [F(2,58)=6.3, p<0.01] was the only factor of statistical significance. ME (13.3±0.9) and HE (13.6±1.2) rats had a very similar activity and both differed significantly from the LE counterparts (8.9±1.2, p<0.05 for both comparisons). SD/LE group had a particularly low activity and differed significantly from SD/HE and SD/ME conspecifics. Exploration factor was statistically significant for the number of rearing [F(2,58)=4.2, p<0.05], but herein the ME-rats clustered with LE-rats: HE group’s average was 6.3±1.2 rearings versus 3.1±0.8 for ME and 2.7±0.7 for LE-rats, respectively, p<0.05 in both cases (Fig. 7c). SD/HE rats exhibited higher scores than either SD/ME or SD/LE animals. Head dips were not significantly different between groups. Both Stress [F(1,58)=8.2, p<0.01] and Exploration [F(2,58)=9.4, p<0.001] factors contributed to the observed group differences in the initial latency of entrance into an open section [interaction of Stress and Exploration F(2,58)=10.5, p<0.001] (Fig. 7d). LE-rats were significantly slower to emerge into the open than HE and ME animals (200.9±41.8 vs. 78.9±16.2 and 84.6±15.1 s, both p<0.01). Likewise, stress group animals were slower than the control group counterparts (153.1±28.3 vs. 85.2±14.7 s, p<0.05). In post hoc comparisons, the SD/LE group strongly differed from all others. As at the beginning of the zero maze test rats were placed in the open quadrant, the latency of the first entrance into the walled segment was also measured. Herein only the effect of Exploration was statistically significant [F(2,58)=4.5, p<0.05]. LE-rats (94.7±23.7 s) exhibited a significantly higher latency of entrance to the walled quadrant than either ME (39.7±4.8 s) or HE (45.4±11.7 s) groups (p<0.05 for both comparisons). The higher latency scores of LE-rats were mostly due to the SD/LE group (134.5±41.7 s), which differed significantly from all five groups, including C/LE (54.9±16.6 s), SD/ME (42.3±5.7 s), and SD/HE (38.3±5.7 s) animals (p<0.01 for all comparisons). In conclusion, behaviour of the SD/LE animals was clearly different. LE-rats submitted to the SD regimen were slower to change quadrants, exhibited less exploratory activity, and seemed to engage in passive coping strategies throughout the test.

Fig. 7 Activity in an elevated zero maze 6 days after the end of the social defeat (SD) regimen. (a) Line crossings in open quadrants, (b) entries into open quadrants, (c) rearings in open quadrants, and (d) latency to re-enter the open quadrant (s). ¤¤¤0.001 versus respective Control (C); *p<0.05, **p<0.01, ***p<0.001. HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

OF

Regarding locomotor activity the results in the OF resembled those of the social preference and the EZM tests. Only the Exploration factor was significant in the ANOVA [F(2,58)=5.2, p<0.01], the SD/LE group was specifically less ambulatory (Fig. 8a). When the total distance travelled by each rat was divided into 10 bins of 1 min of duration each, and the repeated measures ANOVA was applied, the Time factor [F(9,522)=53.7, p<0.001] and Time×Stress interaction [F(9,522)=2.1, p<0.05] were significant. Rats of all groups were highly active in the initial couple of minutes and their locomotion was decelerating throughout the trial (Fig. 8b). Control rats covered more distance in the beginning of the test than SD animals; however, this difference vanished from about the midpoint of the trial. The statistical significance of Time×Stress interaction was mostly owing to the low locomotor activity of the SD/LE group during the first 3 min of the test, which differed in post hoc comparisons from all other groups (p<0.05). In the analysis of thigmotaxis (Fig. 8c), again, only Exploration was significant [F(2,58)=9.3, p<0.001], although Stress tended to increase the time spent near the walls [F(1,58)=3.9, p=0.054]. The post hoc comparisons between exploratory phenotypes confirmed that LE-rats (474.4±20.5 s) have spent longer time near the walls of the test enclosure than both HE (368.3±20.6 s) and ME conspecifics (384.7±15.0 s, p<0.001 for both comparisons). Socially stressed LE animals still exhibited the highest thigmotaxis.

Fig. 8 Activity on an open field 7 days after the end of social defeat (SD) regimen. (a) Distance travelled (cm), (b) distance covered in 1-min time bins, and (c) time spent near the walls of the apparatus (s). ¤p<0.05 versus respective Control (C); *p<0.05, **p<0.01. HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

FST

There was an interaction between Exploration and Stress in struggling [F(2,57)=3.3, p<0.05] on the first test day, but no significant group differences emerged in post hoc comparisons. Hence, FST test did not differentiate between experimental conditions (data not shown).

Behavioural stability between tests

We conducted the correlation analysis between similarly measured behavioural outputs in several tests. Rearings were the type of behaviour measured most often across tests. Rearings measured in EB on the 2nd day, OF, EZM, and social preference tests were all significantly but moderately intercorrelated. The strongest relationship was that between the rearings in EB and social preference test (r=0.45) and the weakest between rearings in social preference test and EZM (r=0.29, all p values at least <0.05). High mobility and immobility were measured with the same algorithm in the social preference test and OF. High mobility behaviours were well correlated (r=0.49, p<0.001). So was the immobility (r=0.48, p<0.001). Another cluster of behaviours can be generalised as a distance covered in the open parts of a test apparatus. We included in the analysis the number of square crossings in EB and EZM, as well as the total distance measured in centimetre in OF. Here again, moderate correlations were observed between all measures (r=0.33–0.41, all p values at least <0.01).

Monoamine levels ex vivo

Social stress [F(1,51)=6.4, p<0.05] turned out to be the significant factor for NA levels in amygdala and hippocampus. Overall, SD rats exhibited higher NA levels in amygdala (4.7±0.2) than controls (4.2±0.1, p<0.05). Similarly to the results found in amygdala, NA levels in hippocampus were higher in SD rats [Stress F(1,56)=6.7, p<0.05]. Here exploration factor also had significant impact [F(2,56)=8.4, p<0.01]: ME-rats had significantly lower NA levels (3.3±0.1) than both HE- (3.7±0.1, p<0.05) and LE- (3.8±0.1, p<0.001) rats (Table 1). Group-wise, the SD/LE rats were found to have significantly higher NA levels (4.2±0.2) than all other groups. In frontal cortex, there was also an overall effect of Stress on HVA [F(1,33)=4.2, p<0.05]: control animals had higher HVA levels than socially stressed rats (0.09±0.01 vs. 0.06±0.01).

Table 1 Biogenic amines, their principal metabolites, and turnover ratios in the frontal cortex, the amygdala, and the hippocampus

3-MT, 3-methoxytyramine; 5-HIAA, 5-hydroxyindoleacetic acid; 5-HT, 5-hydroxytryptamine; DA, dopamine; DOPAC, 3,4-dihydroxyphenylacetic acid; HE, high exploratory activity; HVA, homovanillic acid; LE, low exploratory activity, ME, medium exploratory activity; NA, noradrenaline; NMN, normetanephrine.

Levels of monoamines and their metabolites are expressed as pmol/mg of brain tissue±SEM. Turnover of DA, NA, and serotonin is expressed as ratios to the concentrations of one of their major metabolites.

Post hoc least significant difference significance levels are indicated as follows: †p<0.05, ††p<0.01, †††p<0.001 versus respective control group of the same exploratory phenotype; €p<0.05, €€p<0.01 versus respective HE group of the same stress condition; ∆∆p<0.01, ∆∆∆p<0.001 versus respective LE group of the same stress condition.

For serotonin turnover in amygdala, the interaction of Stress and Exploration was noted [F(2,53)=4.0, p<0.05]. This effect was mainly due to the opposing results in ME-rats: post hoc tests indicated the significantly lower serotonin turnover in SD/ME group as compared with C/ME rats. Another significant effect was found in the hippocampal serotonin levels, in the interaction between Stress and Exploration [F(2,54)=5.4, p<0.01]. Post hoc comparisons showed that C/ME rats exhibited lower serotonin levels than either C/LE, C/HE, or SD/ME groups. A similar effect was also found in serotonin turnover [Stress×Exploration F(2,54)=5.4, p<0.01]: C/ME rats had higher serotonin turnover than C/LE, C/HE, and SD/ME. In addition, the SD/HE group demonstrated higher 5-HT turnover in comparison with C/HE.

Discussion

Rats submitted to SD exhibited lower weight gain, higher sucrose consumption, showed larger SIH, had lower levels of HVA in the frontal cortex, and higher levels of NA in the amygdala and the hippocampus. OF, EZM, and social preference tests revealed the interaction between stress and phenotype, as only LE-rats were further inhibited by SD. ME-rats exhibited the least reactivity to stress in terms of changes in body weight, SIH, and sucrose intake.

We will consider the following three themes: (1) How successful was SD stress in affecting rat behaviour?, (2) What role did exploratory phenotype play in the sensitivity to the effects of SD stress?, and (3) What biological mechanisms could underlie differential sensitivity to SD stress?

SD stress

The resident–intruder paradigm was initially developed to study natural aggressive behaviour in rats (Reference Miczek32,Reference Blanchard and Blanchard33). Over time research focussed on the prolonged effects of defeat on the intruder yielding the animal model of social stress (Reference Tornatzky and Miczek34). SD stress has been shown to elicit many physiological changes, such as tachycardia and cardiac arrhythmias, increased hyperthermia in response to acute stressor, suppression of the circadian rhythmicity, and changes in reactivity of the HPA axis (Reference Bhatnagar, Vining, Iyer and Kinni35Reference Sgoifo, Koolhaas, Musso and de Boer38). Behaviourally, it tends to suppress exploratory and social activity, increase anxiety-like behaviour, promote passive coping strategies in the FST, and reduce preference for sweetened water (Reference Razzoli, Carboni and Arban39Reference Nakayasu and Ishii42). Experimental results in SD paradigms have been summarised in several recent reviews (Reference Miczek, Yap and Covington13Reference Chaouloff15,Reference Pearson, Blanchard and Blanchard43).

In general, rats submitted to SD regimen in this study exhibited lower weight gain, drank larger amount of sucrose water, showed bigger amplitude in the SIH, had lower levels of the DA metabolite HVA in the frontal cortex, and higher levels of NA in the amygdala and the hippocampus. OF, EZM, and social preference tests did not reveal any sweeping SD effect, but rather the interaction between stress and exploratory phenotype, as only socially defeated LE-rats were inhibited in their behaviour.

Thus, our SD regimen produced a typical weight gain-lowering effect, but somewhat atypically also increase in sucrose intake. Several previous studies have not found the SD effect on sucrose preference (Reference Miczek, Yap and Covington13,Reference Miczek, Nikulina, Shimamoto and Covington44,Reference Hollis, Wang, Dietz, Gunjan and Kabbaj45). Increased intake of sucrose solution may be part of the coping response to the chronic SD stress, potentially potentiated by the acute separation from cage mates, as our rats were housed individually for the duration of the sucrose preference testing. We have previously observed increased sucrose intake after chronic variable stress in rats that had a partial lesion of the serotonergic nerve terminal elicited by a low dose parachloroamphetamine treatment resulting in the 20–30% reduction of serotonin levels (Reference Harro, Tõnissaar, Eller, Kask and Oreland46). This effect resembles the carbohydrate-craving state related to low serotonin in depression (Reference Wurtman and Wurtman47) as chronic administration of citalopram prevented its development (Reference Tõnissaar, Mällo, Eller, Häidkind, Kõiv and Harro48). As no systematic change in 5-HT was observed in stressed rats in the present study, the parallelism at the behavioural level may not be related to a similar neurochemical substrate, but this can only be settled by in vivo neurochemical measurements. Presumably, the increased activation of HPA axis and decelerated weight gain may also produce a shift in the preference towards more energy dense or ‘comforting’ food options (Reference Moles, Bartolomucci and Garbugino49). Hyperthermia is a marker of the sympathetic activation and hence a reliable physiological correlate of stress. Increases in magnitude of acute hyperthermia in response to a stressor (SIH) as well as in chronic core body temperature have previously been recorded in the SD rats (Reference Tornatzky and Miczek34,Reference Hayashida, Oka, Mera and Tsuji50) and confirm the efficacy of SD in the present study.

Nevertheless, the impact of our SD regimen was comparably less drastic than is often published. One reason may be the choice of residents. Wistar rats are rather non-aggressive by nature (Reference Koolhaas, Coppens, De Boer, Buwalda, Meerlo and Timmermans8), therefore it is customary to employ more aggressive feral or Long Evans rats as residents (Reference Koolhaas, Coppens, De Boer, Buwalda, Meerlo and Timmermans8,Reference Becker, Zeau, Rivat, Blugeot, Hamon and Benoliel40). However, Wistar rats of larger body size were used as residents and their aggressiveness was potentiated by the daily subcutaneous injections of apomorphine. Apomorphine produces a reliable increase in aggressiveness even in tame strains of rats such as Wistar. However, the elicited aggressive behaviour is somewhat different qualitatively than is naturally observed in aggressive rat strains. Residents under apomorphine influence prefer to assume the upright threatening posture and engage in sham boxing, while biting is rare (Reference Lang, Harro and Soosaar51) so our resident–intruder stress paradigm may be perceived as less stressful by intruders. The second important factor in mediating the effects of SD was the social housing of our intruders. Rats are colonial animals that get along quite well in social housing. Individual housing during SD has been shown to potentiate the effect of SD by reducing the locomotion in the OF and time spent on the open arms in EPM, as well as lead to higher activity of the HPA axis, whereas socially housed rats show significant attenuation in stress-related indicators (Reference Nakayasu and Ishii42,Reference Ruis, Te Brake and Buwalda52).

Exploratory phenotype and response to defeat

Exploratory phenotype differentially influenced sensitivity to SD, as reflected in the social interaction, EZM, and OF tests in case of the LE-rats and in SIH in case of ME-rats. Behaviour in both EZM and OF tests reflects anxiety, but also locomotor activity and exploration. Socially defeated LE-rats were significantly inhibited, whereas ME- and HE-rats were little influenced by stress. EPM and EZM are conceptually similar test apparatuses best suited to measure the anxiety in rodents. EZM, however, produces more locomotor behaviour than EPM by promoting the smooth locomotion in the same direction, whereas the abrupt endings of arms in EPM and the central crossroads introduce more uncertainty and behavioural choice (Reference Shepherd, Grewal, Fletcher, Bill and Dourish29). Previous studies in the rat SD paradigm have been conducted exclusively on EPM and showed anxiogenic effects of SD. For example, a single defeat session was sufficient to decrease the time spent in the open arms of EPM in Wistar rats (Reference Heinrichs, Pich, Miczek, Britton and Koob53). Results in the OF type environments have been more equivocal: some studies find no reduction in the non-social exploratory activity after SD (Reference Miczek, Nikulina, Shimamoto and Covington44,Reference Hollis, Wang, Dietz, Gunjan and Kabbaj45), whereas others note the decreases in locomotion and in such exploratory acts as sniffing and rearing (Reference Miczek, Yap and Covington13,Reference Rygula, Abumaria, Flügge, Fuchs, Rüther and Havemann-Reinecke41). Results from the current experiment demonstrate that low exploring animals become further behaviourally inhibited after SD stress, whereas rats with higher basal exploration levels are not affected in their non-social exploration by the social stress regimen.

Another phenotypic model connected to EB has been used in the SD paradigm. Low and high responders (LR and HR, respectively) were initially selected based on their level of locomotion (HR-rats cover about two-thirds to one-third more distance than LR-rats) in a novel circular corridor (Reference Piazza, Deminiere, Le Moal and Simon54). Interestingly, it was soon discovered that HR-rats are also more sensitive to stress as they exhibit a prolonged elevated corticosterone response in novel environments (Reference Dellu, Piazza, Mayo, Le Moal and Simon55,Reference Kabbaj, Devine, Savage and Akil56). It appears that HR animals show more sensitivity to repeated SD than LR-rats in some behavioural tests. They demonstrate lower weight gain, sucrose and social preference, as well as higher immobility in FST and corticosterone secretion (Reference Duclot, Hollis, Darcy and Kabbaj57,Reference Calvo, Cecchi, Kabbaj, Watson and Akil58). Interestingly, the LR-rats display significantly higher levels of passive–submissive behaviour in their encounters with aggressive residents (Reference Calvo, Cecchi, Kabbaj, Watson and Akil58). LR- and HR-rats respond similarly to the repeated SD when tested in the OF or on their long-term contextual fear memory (Reference Duclot, Hollis, Darcy and Kabbaj57). Parenthetically, it should be mentioned that in these studies the Sprague–Dawley rat strain was used as intruders and rats were pair-housed in random phenotype combinations during and after the repeated SD regimen (Reference Duclot, Hollis, Darcy and Kabbaj57).

In the social preference test that combines exploratory possibilities of the exploration box with an opportunity of social engagement, the SD/LE group rats again showed the most distinct behaviour: they moved little across the arena, instead preferring to stay in the vicinity of the cage with a stranger rat; however, they rarely engaged in the social interaction with the stranger. In comparison with previously published studies (Reference Miczek, Yap and Covington13,Reference Razzoli, Carboni and Arban39), we did not find the suppressive effect of SD on the social interactions, whereas the passive social preference was rather promoted by stress.

If a case can be made that LE-rats were the most sensitive to the effects of SD, it is the ME-rats who were the most resilient. The ME-rats were the least susceptible to the stress-induced increased intake of sucrose and to the deceleration of the weight gain. Their reactivity to the acute act of measuring the core body temperature did not change after SD either. In the tests of non-social and social exploration and anxiety, ME-rats behaved rather similarly to their HE counterparts (except for rearing in EZM), as both groups were largely unaffected by the SD regimen, whereas LE-rats were clearly retarded in their activity levels. The mechanisms behind this stress resilience remain to be studied. Correlational analysis between similarly defined behavioural constructs across behavioural tests yielded moderate to high correlations. This finding provides further confirmation that the behaviour of animals was rather stable in time and between different test environments. However, these correlations have to be interpreted cautiously, as low activity levels of LE-rats biased the centre of gravity of measured variance towards lower scores, hence in many cases data deviates from Gaussian distribution.

SD, resilience, and monoamine levels

Levels of serotonin were lower and turnover higher in the frontal cortex and the amygdala of control ME-rats. This finding may be related to the lesser stress reactivity of ME-rats, but requires further verification. Biochemically, the most prominent effect of the SD regimen was associated with the increase in NA tissue levels in the amygdala and the hippocampus. Noradrenergic neurocircuitry plays prominent role in the reactivity to acute stress. Noradrenergic neurons in the locus coeruleus are activated by stressors (Reference Abercrombie and Jacobs59,Reference Harro and Oreland60) and increase in NA release occurs [e.g. in the hippocampus (Reference Abercrombie, Keller and Zigmond61) and the amygdala (Reference Tanaka, Yokoo, Mizoguchi, Yoshida, Tsuda and Tanaka62)] in stressful conditions. NA transporter knockout mice that have significantly reduced tissue levels of NA were resistant to the effects of chronic SD and restraint stress (Reference Haenisch, Bilkei-Gorzo, Caron and Bönisch63). It is noteworthy that in the hippocampus ME-rats had the lowest NA levels, whereas SD/LE rats the highest, which accords well with their putative rank in stress sensitivity. HVA is a major catecholamine metabolite and is used as an index of DA release. In the current study control rats had higher HVA levels in the frontal cortex than stressed animals. Fittingly, human depression is associated with the dopaminergic hypofunction (Reference Harro and Oreland60). In rats, DA tissue levels have been extensively studied in connection to the chronic mild stress paradigm. Findings are equivocal, as numerous studies have found the decrease in levels of DA and its primary metabolites in the frontal cortex, whereas equally numerous studies found no effect (Reference Hill, Hellemans, Verma, Gorzalka and Weinberg64), and while dopaminergic neurotransmission also responds to SD, this occurs in a complex temporal and context-dependent pattern (Reference Puglisi-Allegra and Cabib65).

This study has a number of limitations. Habituation to the repeated presentation of the same stressor is an important concern that pushes researchers to deploy more unpredictable and variable stress regimens. The flip side of the increased complexity in the delivery of stressors is the reduced replication of experimental designs both within the same lab and between research groups. Even in the relatively narrow confines of the resident–intruder stress paradigm many variations on the timing and duration of antagonistic social encounters, as well as delivery of stressors and experimental endpoints have been used (Reference Hollis and Kabbaj14). This fact makes comparison between studies problematic. In this study we decided to include rats of moderate exploratory preference as an internal control group [similar in logic to (Reference Strekalova, Couch and Kholod66)]. Limited basic neurochemical information on only three brain regions is available and this prevents any advanced conclusions about stress response. We have recently found by integrated analysis of a number of depression models, including SD, that while vulnerability is rather systematically associated with lower oxidative metabolism across the brain, the stress response has at least three distinct regional patterns in diathesis-stress analysis (Reference Harro, Kanarik and Kaart67). Lastly, only male rats have been studied here, whereas in humans females have higher incidence of mood disorders (Reference Kessler, Petukhova, Sampson, Zaslavsky and Wittchen68). However, female rats show little territorial aggressiveness.

In conclusion, the exploration box test reveals large and stable variation in EB. It was found that LE behaviour predict passive coping strategies in response to chronic stress, but also that high levels of novelty-related behaviour may be detrimental to stress resilience.

Acknowledgements

Authors’ Contributions: K.K., M.K., and J.H. designed research; K.K., M.K., K.P., and K.R. performed research; D.M., K.K., K.P., and J.H. analysed data; D.M., K.K., and J.H. wrote the paper.

Financial Support

This work was supported by the Hope for Depression Research Foundation and the Institute for the Study of Affective Neuroscience, the Estonian Ministry of Education and Science project IUT20-40 and the EU Framework 6 Integrated Project NEWMOOD (LSHM-CT-2004-503474).

Conflicts of Interest

None.

References

1. Ferrari, AJ, Charlson, FJ, Norman, RE et al. Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010. PLoS Med 2013;10:e1001547.CrossRefGoogle ScholarPubMed
2. Kendler, KS, Thornton, LM, Gardner, CO. Stressful life events and previous episodes in the etiology of major depression in women: an evaluation of the ‘kindling’ hypothesis. Am J Psychiatry 2000;157:12431251.Google Scholar
3. Pacák, K, Palkovits, M. Stressor specificity of central neuroendocrine responses: implications for stress-related disorders. Endocr Rev 2001;22:502548.CrossRefGoogle ScholarPubMed
4. Deakin, JF. 5-HT, antidepressant drugs and the psychosocial origins of depression. J Psychopharmacol 1996;10:3138.Google Scholar
5. Shively, CA, Willard, SL. Behavioral and neurobiological characteristics of social stress versus depression in nonhuman primates. Exp Neurol 2012;233:8794.Google Scholar
6. Kendler, KS, Hettema, JM, Butera, F, Gardner, CO, Prescott, CA. Life event dimensions of loss, humiliation, entrapment, and danger in the prediction of onsets of major depression and generalized anxiety. Arch Gen Psychiatry 2003;60:789796.Google Scholar
7. Slavich, GM, Thornton, T, Torres, LD, Monroe, SM, Gotlib, IH. Targeted rejection predicts hastened onset of major depression. J Soc Clin Psychol 2009;28:223243.Google Scholar
8. Koolhaas, JM, Coppens, CM, De Boer, SF, Buwalda, B, Meerlo, P, Timmermans, PJA. The resident-intruder paradigm: a standardized test for aggression, violence and social stress. J Vis Exp 2013;77:e4367.Google Scholar
9. Tidey, JW, Miczek, KA. Acquisition of cocaine self-administration after social stress: role of accumbens dopamine. Psychopharmacology (Berl) 1997;130:203212.Google Scholar
10. Meerlo, P, Overkamp, G, Daan, S, Van Den Hoofdakker, R, Koolhaas, J. Changes in behaviour and body weight following a single or double social defeat in rats. Stress 1996;1:2132.Google Scholar
11. Meerlo, P, Overkamp, GJF, Koolhaas, JM. Behavioural and physiological consequences of a single social defeat in Roman high- and low-avoidance rats. Psychoneuroendocrinology 1997;22:155168.CrossRefGoogle ScholarPubMed
12. Meerlo, P, Overkamp, GJF, Benning, MA, Koolhaas, JM, van den Hoofdakker, RH. Long-term changes in open field behaviour following a single social defeat in rats can be reversed by sleep deprivation. Physiol Behav 1996;60:115119.Google Scholar
13. Miczek, KA, Yap, JJ, Covington, III HE. Social stress, therapeutics and drug abuse: preclinical models of escalated and depressed intake. Pharmacol Ther 2008;120:102128.CrossRefGoogle ScholarPubMed
14. Hollis, F, Kabbaj, M. Social defeat as an animal model for depression. ILAR J 2014;55:221232.Google Scholar
15. Chaouloff, F. Social stress models in depression research: what do they tell us? Cell Tissue Res 2013;354:179190.Google Scholar
16. Harro, J. Inter-individual differences in neurobiology as vulnerability factors for affective disorders: implications for psychopharmacology. Pharmacol Ther 2010;125:402422.Google Scholar
17. Armario, A, Nadal, R. Individual differences and the characterization of animal models of psychopathology: a strong challenge and a good opportunity. Front Pharmacol 2013;4:137.Google Scholar
18. Otter, MH, Matto, V, Sõukand, R, Skrebuhhova, T, Allikmets, L, Harro, J. Characterization of rat exploratory behavior using the exploration box test. Methods Find Exp Clin Pharmacol 1997;19:683691.Google ScholarPubMed
19. Mällo, T, Alttoa, A, Kõiv, K, Tõnissaar, M, Eller, M, Harro, J. Rats with persistently low or high exploratory activity: behaviour in tests of anxiety and depression, and extracellular levels of dopamine. Behav Brain Res 2007;177:269281.CrossRefGoogle ScholarPubMed
20. Mällo, T, Kõiv, K, Koppel, I et al. Regulation of extracellular serotonin levels and brain-derived neurotrophic factor in rats with high and low exploratory activity. Brain Res 2008;1194:110117.Google Scholar
21. Alttoa, A, Seeman, P, Kõiv, K, Eller, M, Harro, J. Rats with persistently high exploratory activity have both higher extracellular dopamine levels and higher proportion of D2 high receptors in the striatum. Synapse 2009;63:443446.Google Scholar
22. Raudkivi, K, Alttoa, A, Leito, I, Harro, J. Differences in extracellular glutamate levels in striatum of rats with high and low exploratory activity. Pharmacol Rep 2015;67:858865.CrossRefGoogle ScholarPubMed
23. Matrov, D, Vonk, A, Herm, L, Rinken, A, Harro, J. Activating effects of chronic variable stress in rats with different exploratory activity: association with dopamine D2 receptor function in nucleus accumbens. Neuropsychobiology 2011;64:110122.Google Scholar
24. Pruus, K, Rudissaar, R, Skrebuhhova-Malmros, T, Allikmets, L, Matto, V. Development of apomorphine-induced aggressive behavior: comparison of adult male and female Wistar rats. Methods Find Exp Clin Pharmacol 2000;22:4750.Google Scholar
25. Kanarik, M, Alttoa, A, Matrov, D et al. Brain responses to chronic social defeat stress: effects on regional oxidative metabolism as a function of a hedonic trait, and gene expression in susceptible and resilient rats. Eur Neuropsychopharmacol 2011;21:92107.Google Scholar
26. Vinkers, CH, van Bogaert, MJV, Klanker, M et al. Translational aspects of pharmacological research into anxiety disorders: the stress-induced hyperthermia (SIH) paradigm. Eur J Pharmacol 2008;585:407425.Google Scholar
27. Kõiv, K, Harro, J. Differences in 5-HT1A receptor-mediated hypothermia in rats with low or high exploratory activity. Behav Pharmacol 2010;21:765768.CrossRefGoogle ScholarPubMed
28. Berton, O, Mcclung, CA, Dileone, RJ et al. Essential role of BDNF in the mesolimbic dopamine pathway in social defeat stress. Science 2006;311:864868.Google Scholar
29. Shepherd, JK, Grewal, SS, Fletcher, A, Bill, DJ, Dourish, CT. Behavioural and pharmacological characterisation of the elevated ‘zero-maze’ as an animal model of anxiety. Psychopharmacology (Berl) 1994;116:5664.Google Scholar
30. Matto, V, Harro, J, Allikmets, L. The effects of cholecystokinin A and B receptor antagonists on exploratory behaviour in the elevated zero-maze in rat. Neuropharmacology 1997;36:389396.Google Scholar
31. Porsolt, RD, Anton, G, Blavet, N, Jalfre, M. Behavioural despair in rats: a new model sensitive to antidepressant treatments. Eur J Pharmacol 1978;47:379391.Google Scholar
32. Miczek, KA. A new test for aggression in rats without aversive stimulation: differential effects of d-amphetamine and cocaine. Psychopharmacology (Berl) 1979;60:253259.Google Scholar
33. Blanchard, RJ, Blanchard, CD. Aggressive behavior in the rat. Behav Biol 1977;21:197224.Google Scholar
34. Tornatzky, W, Miczek, KA. Behavioral and autonomic responses to intermittent social stress: differential protection by clonidine and metoprolol. Psychopharmacology (Berl) 1994;116:346356.Google Scholar
35. Bhatnagar, S, Vining, C, Iyer, V, Kinni, V. Changes in hypothalamic-pituitary-adrenal function, body temperature, body weight and food intake with repeated social stress exposure in rats. J Neuroendocrinol 2006;18:1324.Google Scholar
36. Tornatzky, W, Miczek, KA. Long-term impairment of autonomic circadian rhythms after brief intermittent social stress. Physiol Behav 1993;53:983993.Google Scholar
37. Wood, SK, Walker, HE, Valentino, RJ, Bhatnagar, S. Individual differences in reactivity to social stress predict susceptibility and resilience to a depressive phenotype: role of corticotropin-releasing factor. Endocrinology 2010;151:17951805.Google Scholar
38. Sgoifo, A, Koolhaas, JM, Musso, E, de Boer, SF. Different sympathovagal modulation of heart rate during social and nonsocial stress episodes in wild-type rats. Physiol Behav 1999;67:733738.Google Scholar
39. Razzoli, M, Carboni, L, Arban, R. Alterations of behavioral and endocrinological reactivity induced by 3 brief social defeats in rats: relevance to human psychopathology. Psychoneuroendocrinology 2009;34:14051416.Google Scholar
40. Becker, C, Zeau, B, Rivat, C, Blugeot, A, Hamon, M, Benoliel, J-J. Repeated social defeat-induced depression-like behavioral and biological alterations in rats: involvement of cholecystokinin. Mol Psychiatry 2008;13:10791092.Google Scholar
41. Rygula, R, Abumaria, N, Flügge, G, Fuchs, E, Rüther, E, Havemann-Reinecke, U. Anhedonia and motivational deficits in rats: impact of chronic social stress. Behav Brain Res 2005;162:127134.Google Scholar
42. Nakayasu, T, Ishii, K. Effects of pair-housing after social defeat experience on elevated plus-maze behavior in rats. Behav Processes 2008;78:477480.Google Scholar
43. Pearson, BL, Blanchard, DC, Blanchard, RJ. Social stress effects on defensive behavior and anxiety. In Conrad CD editor The handbook of stress: neuropsychological effects on the brain. Oxford, UK: Wiley-Blackwell, 2011; p. 367387.Google Scholar
44. Miczek, KA, Nikulina, EM, Shimamoto, A, Covington, HE. Escalated or suppressed cocaine reward, tegmental BDNF, and accumbal dopamine caused by episodic versus continuous social stress in rats. J Neurosci 2011;31:98489857.Google Scholar
45. Hollis, F, Wang, H, Dietz, D, Gunjan, A, Kabbaj, M. The effects of repeated social defeat on long-term depressive-like behavior and short-term histone modifications in the hippocampus in male Sprague-Dawley rats. Psychopharmacology (Berl) 2010;211:6977.Google Scholar
46. Harro, J, Tõnissaar, M, Eller, M, Kask, A, Oreland, L. Chronic variable stress and 5-HT denervation by parachloroamphetamine treatment in the rat: effects on behavior and monoamine neurochemistry. Brain Res 2001;899:227239.Google Scholar
47. Wurtman, RJ, Wurtman, JJ. Brain serotonin, carbohydrate-craving, obesity and depression. Obes Res Suppl 1995;4:477S480S.Google Scholar
48. Tõnissaar, M, Mällo, T, Eller, M, Häidkind, R, Kõiv, K, Harro, J. Rat behavior after chronic variable stress and partial lesioning of the 5-HT-ergic neurotransmission: effects of citalopram. Prog Neuropsychopharmacol Biol Psychiatry 2008;32:164177.Google Scholar
49. Moles, A, Bartolomucci, A, Garbugino, L et al. Psychosocial stress affects energy balance in mice: modulation by social status. Psychoneuroendocrinology 2006;31:623633.CrossRefGoogle ScholarPubMed
50. Hayashida, S, Oka, T, Mera, T, Tsuji, S. Repeated social defeat stress induces chronic hyperthermia in rats. Physiol Behav 2010;101:124131.Google Scholar
51. Lang, A, Harro, J, Soosaar, A et al. Role of N-methyl-d-aspartic acid and cholecystokinin receptors in apomorphine-induced aggressive behaviour in rats. Naunyn Schmiedebergs Arch Pharmacol 1995;351:363370.Google Scholar
52. Ruis, MAW, Te Brake, JHA, Buwalda, B et al. Housing familiar male wildtype rats together reduces the long-term adverse behavioural and physiological effects of social defeat. Psychoneuroendocrinology 1999;24:285300.Google Scholar
53. Heinrichs, SC, Pich, EM, Miczek, KA, Britton, KT, Koob, GF. Corticotropin-releasing factor antagonist reduces emotionality in socially defeated rats via direct neurotropic action. Brain Res 1992;581:190197.Google Scholar
54. Piazza, PV, Deminiere, J-M, Le Moal, M, Simon, H. Factors that predict individual vulnerability to amphetamine self-administration. Science 1989;245:15111513.Google Scholar
55. Dellu, F, Piazza, PV, Mayo, W, Le Moal, M, Simon, H. Novelty-seeking in rats – biobehavioral characteristics and possible relationship with the sensation-seeking trait in man. Neuropsychobiology 1996;34:136145.Google Scholar
56. Kabbaj, M, Devine, D, Savage, V, Akil, H. Neurobiological correlates of individual differences in novelty-seeking behavior in the rat: differential expression of stress-related molecules. J Neurosci 2000;20:69836988.CrossRefGoogle ScholarPubMed
57. Duclot, F, Hollis, F, Darcy, MJ, Kabbaj, M. Individual differences in novelty-seeking behavior in rats as a model for psychosocial stress-related mood disorders. Physiol Behav 2011;104:296305.Google Scholar
58. Calvo, N, Cecchi, M, Kabbaj, M, Watson, SJ, Akil, H. Differential effects of social defeat in rats with high and low locomotor response to novelty. Neuroscience 2011;183:8189.Google Scholar
59. Abercrombie, ED, Jacobs, BL. Single-unit response of noradrenergic neurons in the locus coeruleus of freely moving cats. II. Adaptation to chronically presented stressful stimuli. J Neurosci 1987;7:28442848.Google Scholar
60. Harro, J, Oreland, L. Depression as a spreading adjustment disorder of monoaminergic neurons: a case for primary implication of the locus coeruleus. Brain Res Rev 2001;38:79128.Google Scholar
61. Abercrombie, E, Keller, R Jr., Zigmond, M. Characterization of hippocampal norepinephrine release as measured by microdialysis perfusion: pharmacological and behavioral studies. Neuroscience 1988;27:897904.Google Scholar
62. Tanaka, T, Yokoo, H, Mizoguchi, K, Yoshida, M, Tsuda, A, Tanaka, M. Noradrenaline release in the rat amygdala is increased by stress: studies with intracerebral microdialysis. Brain Res 1991;544:174176.CrossRefGoogle ScholarPubMed
63. Haenisch, B, Bilkei-Gorzo, A, Caron, MG, Bönisch, H. Knockout of the norepinephrine transporter and pharmacologically diverse antidepressants prevent behavioral and brain neurotrophin alterations in two chronic stress models of depression. J Neurochem 2009;111:403416.CrossRefGoogle ScholarPubMed
64. Hill, MN, Hellemans, KGC, Verma, P, Gorzalka, BB, Weinberg, J. Neurobiology of chronic mild stress: parallels to major depression. Neurosci Biobehav Rev 2012;36:20852117.Google Scholar
65. Puglisi-Allegra, S, Cabib, S. Effects of defeat experiences on dopamine metabolism in different brain areas of the mouse. Aggress Behav 1990;16:271284.Google Scholar
66. Strekalova, T, Couch, Y, Kholod, N et al. Update in the methodology of the chronic stress paradigm: internal control matters. Behav Brain Funct 2011;7:9.Google Scholar
67. Harro, J, Kanarik, M, Kaart, T et al. Revealing the cerebral regions and networks mediating vulnerability to depression: oxidative metabolism mapping of rat brain. Behav Brain Res 2014;267:8394.Google Scholar
68. Kessler, RC, Petukhova, M, Sampson, NA, Zaslavsky, AM, Wittchen, H-U. Twelve-month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States. Int J Methods Psychiatr Res 2012;21:169184.Google Scholar
Figure 0

Fig. 1 Distribution of activity scores on the 2nd day of testing in the exploration box. Based on these scores three exploratory phenotypes were identified as low (dark grey bar), medium (light grey bars), and high exploratory activity rats (white bars).

Figure 1

Fig. 2 The general timeline of experimental procedures. SIH, stress-induced hyperthermia.

Figure 2

Fig. 3 (a) Body weight (g) before and over 2 weeks of the social defeat (SD) regimen. (b) Weight gain (g) after 2 weeks of SD regimen (2 weeks minus PRE): all SD groups differ from respective Controls (C) (p<0.001). #p<0.05 versus SD/ME group. Data expressed as means±SEM. HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

Figure 3

Fig. 4 (a) Ten-hour 1% sucrose water consumption (g) before and over 2 weeks of the social defeat (SD) regimen. (b) Change in 1% sucrose intake after 2 weeks of SD regimen (2 weeks minus PRE). (c) Ten-hour 1% sucrose water preference (% of total liquid consumed) before and over 2 weeks of the SD regimen. (d) Change in 1% sucrose water preference after 2 weeks of SD regimen (2 weeks minus PRE). ¤p<0.05 versus respective Control (C). HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

Figure 4

Fig. 5 Stress-induced hyperthermia (ΔT=T15T0) as measured before (a) and after 2 weeks of the social defeat (SD) regimen (b). ¤p<0.05, ¤¤p<0.01 versus respective Control (C). HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

Figure 5

Fig. 6 Activity in the social preference test 5 days after the end of the social defeat (SD) regimen. (a) Preference of the social quadrant of the apparatus [time spent in the quadrant with a wire-mesh cage occupied by an unfamiliar conspecific minus time spent in the quadrant with a similar empty cage (s)]. (b) Time spent in the close interaction zone near the cage with an unfamiliar conspecific in it (s). (c) Social interaction with the unfamiliar stimulus rat (s). (d) Distance moved around in the social preference box (cm). (e) Time spent in ‘highly mobile’ state (s). (f) Rearings on hindpaws. ¤p<0.05, ¤¤p<0.01 versus respective Control (C); *p<0.05, **p<0.01, ***p<0.001. HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

Figure 6

Fig. 7 Activity in an elevated zero maze 6 days after the end of the social defeat (SD) regimen. (a) Line crossings in open quadrants, (b) entries into open quadrants, (c) rearings in open quadrants, and (d) latency to re-enter the open quadrant (s). ¤¤¤0.001 versus respective Control (C); *p<0.05, **p<0.01, ***p<0.001. HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

Figure 7

Fig. 8 Activity on an open field 7 days after the end of social defeat (SD) regimen. (a) Distance travelled (cm), (b) distance covered in 1-min time bins, and (c) time spent near the walls of the apparatus (s). ¤p<0.05 versus respective Control (C); *p<0.05, **p<0.01. HE, high exploratory activity; LE, low exploratory activity; ME, medium exploratory activity.

Figure 8

Table 1 Biogenic amines, their principal metabolites, and turnover ratios in the frontal cortex, the amygdala, and the hippocampus