Abstract
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Objective
Chronic stress in adolescence may affect brain maturation and predispose individuals to psychiatric disorders in adulthood. However, whether chronic juvenile stress influences vulnerability to nonpsychiatric brain injuries, such as traumatic brain injury (TBI), remains unclear. Therefore, we hypothesized that juvenile stress-related neuronal circuit disturbances could aggravate brain damage following TBI in adulthood.
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Methods
For chronic stress, we used an unpredictable chronic mild stress (UCMS) procedure for 5 weeks in adolescent mice. This was followed by a controlled cortical impact (CCI) injury to evaluate the influence of chronic juvenile stress on brain damage progression following TBI in adult mice. Mice underwent UCMS alone, UCMS followed by CCI, CCI alone, or sham operation. We characterized neurobehavioral deficits (Barnes maze, open field, and light-dark tests), neuroinflammation (ionized calcium-binding adapter molecule 1 [Iba-1], glial fibrillary acidic protein [GFAP], and neuron-specific nuclear protein [NeuN] immunoreactivity), and apoptosis (B-cell lymp [Bcl-2], Bcl-2-associated X protein [Bax], and procaspase-3 immunoreactivity).
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Results
Following CCI, mice exposed to UCMS showed decreased spatial learning and memory in the Barnes maze test compared with unstressed mice. A significant increase in Iba-1, GFAP, and Bax/Bcl-2 immunostaining levels was observed in the mice exposed to UCMS followed by CCI compared with the CCI-only mice. In contrast, a significant decrease in NeuN immunostaining levels was observed in the UCMS with CCI group compared with the CCI alone group.
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Conclusion
Chronic stress in a juvenile mouse model aggravates neurobehavioral impairments and potentiates glial reactivity, neuronal injury, and apoptosis following moderate-to-severe TBI that occurs in adulthood. The present study suggests that juvenile chronic stress may influence poor outcomes following TBI in later adulthood.
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Keywords: Unpredictable chronic mild stress; Controlled cortical impact; Neuroinflammation; Neurobehavior
Capsule Summary
What is already known
Chronic stress in adolescence may affect brain maturation and predispose individuals to psychiatric disorders in adulthood.
What is new in the current study
The present study demonstrated that juvenile chronic stress may influence poor outcomes following traumatic brain injury in later adulthood.
INTRODUCTION
Exposure to chronic stress can have broad effects on health, ranging from an increased predisposition to neuropsychiatric disorders such as anxiety, depression, and dementia to the dysregulation of immune responses [
1]. Compared with adulthood, adolescence is a crucial developmental stage for continued brain maturation, particularly in the limbic and cortical regions, which play a role in the physiological and emotional changes coincident with adolescence [
2]. A growing number of studies indicate that stressors experienced during adolescence may affect the trajectory of neural maturation and predispose individuals to the development of mental health problems such as anxiety and depression in adulthood [
2–
4]. Stress-related dysregulation of the neuroendocrine and immune systems in the development of the brain has been hypothesized as one of the major biological links between neuroinflammation and neurobehavioral dysfunction. During adolescence, exposure to psychosocial stress has been shown to upregulate inflammation by enhancing the transcription of proinflammatory genes such as interleukin-1β, interleukin-6, interleukin-8, cyclooxygenase 2, and tumor necrosis factor-α, as well as elicit increases in circulating levels of proinflammatory cytokines [
5,
6]. Through this mechanism, persistent stress may contribute to a chronic inflammatory environment, leading to negative downstream effects of adverse psychiatric events in adulthood. However, early life stress has demonstrated a clear association with psychological morbidities such as anxiety and depression in adulthood, but the impact of chronic stress during adolescence on nonpsychological trauma in adulthood remains unknown.
Traumatic brain injury (TBI) is a major global public health concern and a common cause of morbidity and mortality [
7]. TBI outcomes are affected by complex and multifactorial processes, including the heterogeneous nature of the human population, different injury types and severity, and the timing and characteristics of postinjury clinical care [
8].
Chronic stress and TBI have overlapping pathophysiologies, such as neuroinflammation and neurobehavioral abnormalities. Juvenile stress can affect normal neuronal maturation and increase psychological and physiological vulnerabilities downstream. We hypothesize that juvenile stress-related neuronal circuit disturbances can also influence significant neuronal injury vulnerabilities to nonpsychological neuronal stress, such as TBI. Therefore, TBI outcomes can be affected by chronic stress during adolescence.
Consequently, we investigated whether juvenile exposure to unpredictable chronic mild stress (UCMS) is associated with a more pronounced increase in neurobehavioral deficits and neuroinflammatory responses in mice exposed to nonpsychological neurotrauma with moderate-to-severe controlled cortical impact (CCI) during later adulthood.
METHODS
Ethics statements
All experimental protocols were approved by the Animal Care and Use Committee of Chungbuk National University (No. CBNUR-854-15).
Animal population
We used 8- to 12-week-old C57Bl/6 male mice in this study. Mice were housed under a standard 12-hour light-dark cycle and had ad libitum access to food and water. Mice underwent UCMS alone, UCMS followed by CCI, CCI alone, or sham operation.
Unpredictable chronic mild stress procedure
In rodents, postnatal days 21 to 59 are commonly considered ages that are associated with adolescence [
4]. The UCMS procedure was performed as described previously by Jung et al. [
9] with slight modifications. Postnatal day 28 mice were subjected to different stressors such as restraint, shaking, social defeat, white noise, food deprivation, inversion of the light-dark cycle, food and water deprivation, cage tilting, damp sawdust, placement in an empty cage, and overnight illumination (
Fig. 1). On average, two of these stressors were applied daily at different times following a semi-random 2-week schedule. The stress procedure lasted for 5 weeks before behavioral testing. Stressors were applied during the testing phase, except on the testing days, to avoid the effects of acute stress. At least 12 hours of rest was provided between the stressor and the test.
The sucrose preference test was performed as described previously by Zhang et al. [
10] with slight modifications to evaluate anhedonia. This test was carried out before UCMS, as well as 2.5 and 5 weeks after UCMS. Mice were kept individually in separate cages and allowed to adapt to two bottles of solution (filled with 1% sucrose solution) for 24 hours. For the next 24 hours, one bottle of sucrose solution was replaced with water. The mice were then subjected to 18 hours of food and water deprivation, followed by exposure to two preweighed bottles of solution (1% sucrose solution and plain water) for 1 hour. The positions of the bottles were then changed. After the test, the weights of the sucrose solution and water consumed were recorded. Sucrose preference was calculated as follows: sucrose preference (%)=sucrose consumption/(sucrose consumption+water consumption)×100%.
CCI was performed as described previously [
11,
12]. Briefly, mice were anesthetized with an intramuscular injection of 15 mg/kg tiletamine/zolazepam (Zoletil, Virbac). After cleaning the shaved head area between the ears with betadine, a midline scalp incision was made, and the right parietal bone was exposed. Next, a 4-mm-diameter circle was drawn in the center of Lambda and Bregma at 0.5 mm from the midline. Thereafter, right parietal craniotomy was carefully performed along the marked circle using a surgical microscope and micromotor drill (Stoelting). Afterward, the CCI device was calibrated relative to the exposed dura mater during craniotomy. The parameters of impact in the injured animals were a depth of 2.0 mm, a mean velocity of 3.0 m/sec, and a duration of 500 milliseconds. After the impact, the scalp incision was sutured with 5-0 nylon. The animals were then returned to their cages. The sham-operated group underwent craniotomy without CCI injury. The surgical procedure is illustrated in
Fig. 1.
Behavioral testing was conducted between 8 AM and 7 PM by an observer blinded to the experimental procedures. All tests were recorded using a video tracking system equipped with Smart ver. 3.0 (Harvard Apparatus, Holliston, MA, USA), which automatically identifies postinjury behavioral changes.
Barnes maze test
The Barnes maze test was conducted as previously described with minor modifications to determine latencies and distances, errors, and speed to find the escape box [
11–
13]. The maze consisted of a white acrylic circular platform (diameter, 91 cm) with 20 equally spaced holes and a black acrylic escape box (20×5×6 cm) along the perimeter. The maze was surrounded by four spatial cues at its height.
Each mouse was trained by way of four acquisition trials per day over 3 days with an intertrial interval of 10 to 15 minutes. Immediately before the first trial, a mouse was placed in the middle of the maze in a black starting cylinder (diameter, 10 cm), and a buzzer (80–90 dB) was turned on. After 10 seconds, the chamber was lifted, and the mouse was pretrained to enter the escape box by guiding it to the escape box and allowing it to remain there for 2 minutes. The first trial was initiated following the pretraining trial.
At the beginning of each trial, a mouse was placed in the same starting chamber, and 10 seconds after turning on the buzzer and light, the chamber was lifted, and the mouse was free to explore the maze. The trial ended when the mouse entered the goal tunnel or 3 minutes into the trial. Immediately after the mouse entered the tunnel, the buzzer was turned off and the mouse was allowed to stay in the tunnel for 1 minute.
After each trial, the entire maze was cleaned with 70% alcohol and rotated to eliminate intramaze cues. The trials were recorded using a video tracking system equipped with Smart ver. 3.0.
Probe trial
During the probe trial, the escape tunnel leading to the target box was closed. The 90-second probe trial was conducted on day 6, and the mice were allowed to explore the maze and visit the target hole. The latency and distance to reach the target hole were recorded for the first time.
Open field test
Locomotor activity was measured in a white open-top acrylic box (40×40×40 cm) with an illumination intensity of 20 lux at the box floor level for 30 minutes. The activity was automatically recorded using a video tracking system equipped with Smart ver. 3.0. Distance moved (mm), time spent in the center (25%), time spent in the area margins, and mean walking speed (cm/sec) were also evaluated.
Light-dark transition test
The apparatus consisted of black (20×40×40 cm) and white compartments (20×40×40 cm) separated by a connecting gate (5×8 cm). Each animal was individually placed at the center of the bright compartment (facing away from the door), and the following parameters were measured for 5 minutes: latency of the initial movement from the light to the dark area (latency of transition), the total number of transitions between the light and dark areas, and total time spent in the light area.
Western blotting
Seven days postinjury, the animals were sedated with an intramuscular injection of 15 mg/kg tiletamine/zolazepam (Zoletil) and sacrificed. Brain tissue (three to four in each group) was dissected and stored at –80 °C immediately before use. The samples were lysed with ice-cold radioimmunoprecipitation assay buffer (#MB-030-0050, Rockland) supplemented with 10 μL/mL protease and phosphatase duo inhibitor cocktail (#P3300-001, GenDEPOT) and homogenized using a syringe with a 23G needle (approximately 10 to 20 times) at room temperature (RT). The tissue lysates were incubated on ice for 30 minutes and mixed using a vortex device every 5 minutes. The supernatants were collected after centrifugation at 13,000 rpm at 4 °C for 10 minutes. The Bradford assay method (#5000202, Bio-Rad Laboratories) was used to measure the protein concentration of the samples. After protein quantification, each sample was treated with 4× Laemmli sample buffer (#161-0747, Bio-Rad Laboratories) containing 10% (volume/volume) β-mercaptoethanol (#M3148, Sigma-Aldrich). After boiling in a dry bath at 95 °C for 10 minutes, the samples were stabilized on ice for 5 minutes and centrifuged at 13,000 rpm and 4 °C for 10 minutes. Next, the supernatants (10 μg in a 4-, 7.8-, 10-, or 13.4-μL volume) were separated using Any kD Mini-PROTEAN TGX Precast Protein Gels (#456-9034, Bio-Rad Laboratories) and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (#165-8004, Bio-Rad Laboratories) at a constant voltage of 200 V for 35 minutes, and then transferred to a 0.45-μm (#10600023, Amersham) or 0.2-μm (#10600021, Amersham) pore size hydrophobic bond polyvinylidene fluoride transfer membrane using a wet-tank (#TE22, Hoefer Inc) transfer method at 250 mA for 60 minutes. Thereafter, the membranes were incubated with 15 mL of 5% (weight/volume, w/v) bovine serum albumin (BSA; #A0100-010, GenDEPOT) in Tris-buffered saline with Tween 20 (TBS-T) and 0.1% Tween-20 (#274348, Sigma-Aldrich) in 1× TBS buffer (#TR2008-100-00, Biosesang) to block nonspecific reactions for 2 hours at RT using a laboratory shaker (20 rpm; #AD-ST, GYROZEN) and washed three times with 15 mL of TBS-T for 10 minutes at RT (40 rpm). After washing, the membranes were incubated overnight at 4 °C with 10 mL of 5% (w/v) BSA in TBS-T containing an appropriate concentration of the primary antibodies against RNA-binding protein, including fox-1 homology 3/neuron-specific nuclear protein (RBFOX3/NeuN), glial fibrillary acidic protein (GFAP), allograft inflammatory factor 1/ionized calcium-binding adapter molecule 1 (AIF-1/Iba-1), B-cell lymphoma 2 (Bcl-2)-associated X protein (Bax), Bcl-2, procaspase-3, and β-actin for 18 to 24 hours, and then three times rinsed with 15 mL of TBS-T for 10 minutes at RT. After washing, the membranes were incubated with 15 mL of 5% (w/v) BSA in TBS-T, including horseradish peroxidase-conjugated secondary antibodies: goat anti-rabbit (1:3,000; #170-6515, Bio-Rad Laboratories) or goat anti-mouse (1:3,000; #170-6516, Bio-Rad Laboratories) polyclonal antibodies, for 1 hour at RT (20 rpm), and then washed three times with 15 mL of TBS-T for 10 minutes at RT. After washing, the bands were visualized using Clarity Western enhanced chemiluminescence Substrate (#170-5060, Bio-Rad Laboratories) and a ChemiDoc XRS+ Imaging System (#170-8265, Bio-Rad Laboratories) according to the manufacturer’s protocol. Then, protein bands were analyzed quantitatively using ImageJ ver. 1.53k (US National Institutes of Health), and the results were used for further statistical analysis. The expression levels of the target protein in the cortex of mice were determined relative to β-actin as an internal loading control, and all relative band intensities of target protein were normalized to the mean relative band intensity of the control and sham groups.
Statistical analysis
All data are presented as the mean±standard error of the mean and, to ensure data accuracy, all western blot studies were repeated three to six times. GraphPad Prism ver. 9.3.1 (GraphPad Software) was used to analyze the normalized data and construct histograms. After using the Shapiro-Wilk and Brown-Forsythe tests to confirm data normality and homogeneity of variances, respectively, a two-way (stress, control vs. UCMS; UCMS×operation, sham vs. TBI) analysis of variance (ANOVA) was used to analyze the effects of stress and brain damage. After the ANOVA verified the interaction effect (P<0.05) between stress and the operation, Tukey’s (equal sample size) or Bonferroni’s (unequal sample size) post hoc multiple comparison test was used to analyze the differences between groups. In the post hoc test for the western blot analysis, a value of P<0.05 was considered statistically significant.
RESULTS
UCMS reduced body weight gain, sucrose preferences, and locomotor activity
As illustrated in
Fig. 2, body weight gain, sucrose preference, and locomotor activity were monitored to control for stressor efficacy. Before stress exposure, body weight gain did not differ significantly between the control and stress groups. However, stressed animals exhibited a reduction in body weight gain compared with controls after 1 week of stress exposure (0.8±0.4 g vs. 2.7±1.2 g, P<0.05). After 5 weeks of UCMS, body weight gain in the stress group was significantly lower than that in the control group (3.0±1.5 g vs. 6.9±2.8 g, P<0.001). Sucrose preference was similar between the two groups before stress exposure and after 2.5 weeks of UCMS. However, after 5 weeks of UCMS, stressed animals exhibited a significant decrease in sucrose preference (56.1%±10.5% vs. 68.1%±18.4%, P<0.05). In the open field test (OFT), total ambulation and rearing time significantly increased (P<0.05) in control mice after 5 weeks, whereas stressed mice did not show a significant increase in total ambulation and rearing time.
To analyze the influence of juvenile stress on spatial learning and memory deficits following TBI, we performed a Barnes maze test. During the training days, the latency (sec) to enter the target hole (total latency) was measured and analyzed using a two-way ANOVA. Nonstressed sham rats showed a significant decrease in latency during the 3 training days, indicating that they learned the task over the 3-day training period (
Fig. 3A). However, mice that were subjected to TBI spent more time in the arena than those in the other groups (
Fig. 3A). There was no significant difference in mean path length, average speed, and mean total errors among groups in the acquisition trials (
Fig. 3B–
D). The mean path length (cm) on day 5 of the retention trials in the retention phase, the mean latency, and the path length to the target stress during the Barnes maze performance were affected by TBI and/or chronic stress. Unpaired t-test demonstrated statistically significant differences in primary latency to the target hole and adjacent holes between nonstressed mice following TBI and stressed mice following TBI, indicating that stressed mice following TBI had significant retention memory deficits (
Fig. 3E). In addition, the primary path length to the target hole was significantly greater in the difference between groups in stressed mice than in the difference between groups in unstressed mice (
Fig. 3F).
To evaluate the influence of juvenile stress on anxiety-like behavior following CCI in adulthood, we performed the OFT and light-dark transition test (LDT).
Fig. 4A depicts the OFT. As shown in
Fig. 4B, the total locomotor activity was not influenced by TBI or chronic stress; however, the time spent in the central region of the testing chamber between nonstressed mice exposed to TBI and stressed mice was significantly reduced compared with that for nonstressed sham mice, indicating anxiety-like behavior, although the time spent in the peripheral region of the testing chamber among different groups was not significant (
Fig. 4C,
D).
Fig. 4E shows a schematic representation of the LDT. After 2-mm CCI, stressed mice spent significantly more time in the light compartment than nonstressed mice (
Fig. 4F). Mice exposed to TBI showed significant differences in the initial latency of transition (
Fig. 4G) and transition time (
Fig. 4H) compared with sham mice.
Although neuronal injury and glial reactivity did not differ significantly between the nonstressed and stressed sham groups, western blot analysis revealed that mice exposed to TBI had significantly different changes in neuronal injury and glial reactivity depending on whether they were stressed in adolescence.
Neurons are highly sensitive to traumatic injury. Neuronal injury and loss were evaluated by immunoblotting for NeuN, a neuronal-specific nuclear protein.
Fig. 5A shows representative photomicrographs of NeuN western blotting in the injured cortex of each animal group. TBI caused a significant decrease in NeuN immunoreactivity compared with that in nonstressed and stress sham mice (
Fig. 5B). Importantly, following TBI, the relative band intensity of NeuN in stressed mice decreased significantly more than that in nonstressed mice (P<0.001) (
Fig. 5B).
To assess the effect of juvenile stress on astrogliosis following TBI, we immunoblotted GFAP.
Fig. 5A shows representative images of GFAP western blotting in the injured cortex of each animal group. We found a significantly higher band intensity in the injured animals than that in both the nonstressed and stressed sham mice (
Fig. 5C). Importantly, in the injured cortex, stressed mice had higher levels of GFAP than those in nonstressed mice after TBI (P<0.05).
To assess the contribution of microgliosis to TBI following juvenile stress, we performed immunoblotting for Iba-1, a macrophage/microglia-specific calcium-binding protein.
Fig. 5A shows representative photomicrographs of Iba-1 western blotting in the injured cortex of each animal group. Sham animals had very low levels of Iba-1 staining, with a marked increase in all groups following TBI (
Fig. 5D). Stressed mice exposed to TBI exhibited a significant increase in Iba-1 staining compared with nonstressed mice, although there were no group differences between nonstressed and stressed sham mice.
Taken together, these findings suggest that in addition to primary neuronal loss due to TBI, secondary neuronal loss caused by chronic stress may occur in the penumbra connected to the damaged region through altered biochemical conditions, such as astrocyte and microglial overactivation, indicating that stressed mice are more vulnerable to secondary neuronal loss.
UCMS in adolescence can enhance apoptosis following CCI
The levels of Bax and the Bax/Bcl-2 ratio, which are linked to biochemical circumstances in humans, also corroborate this statement. An increase in the Bax/Bcl-2 ratio indicates the probability of apoptosis in a tissue or specific region because Bax is a proapoptotic marker and Bcl-2 is an antiapoptotic marker. Levels of Bax were found to be considerably higher in either the stress-exposed or TBI-induced mice groups, or both (
Fig. 5E). Additionally, the Bax/Bcl-2 ratio was significantly higher in both the stress-exposed and TBI-induced mice groups, or both (
Fig. 5G). These findings suggest that apoptosis occurs under UCMS conditions and that this biochemical change with astrocyte and microglial activation may result in neuronal loss. Caspase-3 is an apoptosis executioner protein, and cleaved caspase-3 was used to evaluate caspase-3 activation as an essential apoptosis marker. However, using western blot analysis, we were unable to detect cleaved caspase-3 levels in these experiments (no data are shown in this study), and there was no interaction or significant difference in Bcl-2 and pro-caspase-3 levels between the groups (
Fig. 5F,
H).
DISCUSSION
Our study shows for the first time that chronic stress in the developing brain exacerbates neurobehavioral dysfunction and neuroinflammatory responses in mice exposed to moderate-to-severe TBI that occurs in adulthood. We observed that chronically stressed juvenile mice showed a greater decrease in spatial learning and memory following TBI than nonstressed mice, indicating that chronic stress influences injury progression following TBI. Furthermore, our study identified that chronic juvenile stress could potentiate glial reactivity, neuronal injury, and apoptosis following moderate-to-severe TBI that occurs in adulthood, suggesting a prime factor influencing neuroinflammation following TBI in later adulthood.
Adolescence is a time of continued brain maturation, particularly in the limbic and cortical regions, which undoubtedly play a role in the physiological and emotional changes that coincide with adolescence [
2]. Exposure to chronic stress in the developing brain can be particularly harmful and lead to more brain alterations and physiological disruptions that impact health and developmental outcomes throughout life than in adults because of vulnerability to the effects of chronic stress [
14].
The UCMS rat model is a renowned rodent paradigm used to induce depressive-like and anxiety-like behaviors and consists of random, intermittent, and unpredictable exposure of animals to various stressful situations, usually for at least 4 weeks [
1,
15]. UCMS application during mouse adolescence induces long-term depressive-like susceptibility through impairment of the equilibrium of the hypothalamic-pituitary-adrenal axis and subsequent enhanced sympathetic activation, unbalanced reactivity, and hypercortisolemia, similar to the pathophysiology in humans [
1,
16,
17]. UCMS is a potentially reliable model to explore the association of depressive-like behavior in mice with changes in peripheral proinflammatory cytokines, as well as neuroinflammation in various regions of the mouse brain known to be involved in the pathophysiology of depression [
18].
In experimental animal models, juvenile stressed mice showed behavioral abnormalities such as increased anxiety-like behavior, decreased spatial memory, increased corticosterone secretion, and altered hippocampal size after maturation, resembling those seen in neuropsychiatric disorders and increased brain vulnerability [
19]. We also observed that chronic mild stress in C57BL/6 juvenile mice induces a chronic stress response, as revealed by abrogated body weight gain, decreased sucrose preferences, and stress-associated behavioral alterations, including the potentiation of anxiety and depression-like behaviors and a reduction of exploratory behavior, as well as subtle stress-related changes in spatial learning and memory function in adulthood. The UCMS used in our study, first introduced by Katz et al. [
20] and subsequently developed by Willner [
16], is a renowned rodent paradigm applied to mice and rats in myriad studies to induce behavioral deficits such as anhedonia and behavioral despair [
15,
21]. During the procedure, adolescent animals were chronically exposed to various unpredictable mild stressors. One of the more prominent tests conducted following UCMS is the sucrose preference test, which is based on the rodents’ innate preference for sweetened solutions rather than water and is widely acknowledged as an essential translational model for assessing anhedonia [
15]. Other notable outcome measures that are highly incorporated in the UCMS literature are the OFT (measuring exploratory and anxiety-like behaviors and locomotor activity) and the LDT (measuring anxiety-like behavior) as behavioral tests also applied in the present study [
16].
Severe TBI presents with significant cognitive and/or affective dysfunction, which can have perpetual adverse consequences on the quality of life. Cognitive problems following TBI include decreased memory and learning abilities, impaired attention and concentration, reduced processing speed, word-finding difficulties, and impaired executive functioning [
22]. Although the cognitive processes that result in memory impairment following TBI are not fully understood, alterations in neural circuits associated with memory function contribute to memory impairments caused by TBI [
23]. We previously reported that a 2-mm CCI injury resulted in significant spatial learning and memory deficits compared with that in sham adults [
11,
12]. In previous studies, the Barnes circular maze was shown to be an efficient cognitive task to assess spatial/non-spatial learning following CCI injury in adult mice [
11,
12]. In addition to cognitive changes, TBI has been frequently linked to affective disorders such as anxiety and depression. However, much remains to be understood about the underlying molecular and signaling mechanisms that mediate affective dysfunctions following injury [
24]. The evaluation of anxiety using the OFT and LDT in the present study showed differences in anxiety-like behaviors after CCI injury.
As described above, a growing body of experimental evidence indicates that chronic stress and TBI can lead to cognitive and affective dysfunction, respectively. We showed that juvenile mice exposed to chronic stress would likely suffer from spatial learning and memory dysfunction after TBI during adulthood relative to juvenile mice without chronic stress. In addition, behavioral alterations suggestive of anxiety-like and depression-like behaviors after TBI could be aggravated. It is unclear whether chronic stress and TBI have an overlapping effect on neurobehavioral dysfunction or whether chronic stress increases neuronal injury sensitivity to aggravate neuronal injury following TBI. However, the current study suggests that chronic stress during the juvenile period could contribute to secondary aggravating factors for neurobehavioral deficits following the same traumatic injury impact in adulthood.
To understand whether adolescent chronic stress accelerates the injury process after TBI, which worsens neurobehavioral abnormalities, we evaluated the extent of neuronal damage (loss of the NeuN signal), glial reactions (GFAP for astrocytes and Iba1 for microglia), and apoptotic reactions (Bax/Bcl-2 and procaspase-3). NeuN immunoreactivity has been widely used to identify live mature neurons in brain tissues and measure the neuron/glia ratio in brain regions. Reactive astrogliosis is a key component of cellular response to neuroinflammation. Astrocytic changes were evaluated using an antibody against GFAP, a reactive astrocyte marker. Microglia are the main form of adaptive immune response in the central nervous system, which modulates neuronal function during inflammatory responses and developmental synaptic pruning and plasticity in the healthy brain, and can rapidly respond to even minor changes in the brain [
25]. In response to harmful stimuli, microglial cells undergo several changes, such as an increase in the number of proinflammatory cytokines and the expression of several cell surface antigens [
25–
27]. Iba-1 has been widely used to study microglia because its expression is specific and is expressed by both reactive and quiescent microglial cells [
27].
Neuroinflammation is a prominent short-term and long-term consequence of neuronal injuries that occur after TBI. It involves the activation of glia, including microglia and astrocytes, to release inflammatory mediators within the brain and subsequent recruitment of peripheral immune cells [
28]. Various animal models of TBI have been developed that have proven valuable in elucidating the pathophysiology of the disorder and assessing the safety and efficacy of novel therapies before clinical trials [
28]. These studies have reported a robust elevation of cytokines in brain homogenates after TBI [
29]. Our data also show that TBI induces microglial and astrocyte reactivity and neural damage in ipsilateral brain homogenates that are altered by chronic stress.
There is consistent evidence that a range of psychosocial stressors during childhood leads to elevated microglial activity and proinflammatory cytokines in the hippocampus and other brain regions [
25,
30]. Such an elevated neuroinflammatory response may be associated with structural and functional changes in the brain that predispose it to a high risk of mental illness in adulthood. Alterations in the hypothalamic-pituitary stress system, abnormal immunological responses, and lasting changes in cellular, molecular, and epigenetic forms of plasticity have been proposed to explain the neurobiological pathways that link childhood adversities to the later development of adult mental illnesses [
25]. Our data also showed that chronic stress induces microgliosis and astrocytosis in brain homogenates.
Our novel finding was that chronic stress enhances microglial and astrocyte reactivity induced by TBI. Diz-Chaves et al. [
31] found that prenatal stress induces a basal proinflammatory status in hippocampal formation during adulthood, resulting in the potentiated activation of microglia and astrocytes in response to a subsequent proinflammatory insult. Similarly, another study found that combined exposure to prenatal immune challenge and peripubertal stress induces synergistic pathological effects on adult behavioral functions and neurochemistry, demonstrating that a prenatal insult markedly increases the vulnerability of pubescent offspring to brain immune changes in response to stress [
32]. Such studies support the idea that stress leads to microglial priming, whereby an initial stimulation early in life primes microglia, leading to an exaggerated response of microglia to a second inflammatory stimulus [
25,
33]. Although the findings of the two-hit hypothesis suggest that early life stress primes microglia, leading to a potentiated response to subsequent psychiatric stress, our results suggest that adolescent stress primes microglia, leading to an enhanced response to subsequent nonpsychiatric stress induced by TBI in adulthood.
This study has several limitations. First, we did not evaluate female mice or other mouse strains. Second, we did not analyze time-dependent protein expression early after injury. Third, we impacted the focal right parietal lobe; therefore, we need to further investigate other types of focal and diffuse brain injuries. Finally, we did not administer more than 2.0-mm impact owing to its high mortality rate after surgery.
In summary, our study shows for the first time that chronic stress in the developing brain exacerbates neuroinflammatory responses and neurobehavioral dysfunction in mice exposed to moderate-to-severe TBI that occurs in adulthood. Furthermore, the present study suggests that chronic juvenile stress primes neuroinflammation, leading to enhanced injury response to subsequent TBI.
NOTES
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ETHICS STATEMENTS
All experimental protocols were approved by the Animal Care and Use Committee of Chungbuk National University (No. CBNUR854-15).
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CONFLICT OF INTEREST
No potential conflict of interest relevant to this article was reported.
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FUNDING
This research was supported by the Basic Science Research Program through the National Research Foundation (NRF) funded by the Ministry of Science and ICT of Korea (No. 2015R1A2A2A0100 2303, No. NRF-2016R1D1A1B04930247).
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AUTHOR CONTRIBUTIONS
Conceptualization: HK; Data curation: SJP; Formal analysis: SJP, HJP; Funding acquisition: HK; Visualization: HK, BK, YMK; Writing–original draft: HK, YMK; Writing–review & editing: all authors.
All authors read and approved the final manuscript.
Fig. 1.Experimental schedule. The unpredictable chronic mild stress (UCMS) protocol lasted 5 weeks. Before the UCMS procedure, baseline sucrose intake was measured. Once a week, sucrose intake and body weight were measured. After 5 weeks of UCMS or control conditions, controlled cortical impact (CCI) experiments were conducted. (A, B) The procedure for CCI. At the beginning of surgery (day 0), the mouse head was stably fixed on the stereotactic frame with an ear bar and mouth bits. (A) The right skull was exposed, and a 4-mm circle was drawn in the center of bregma and lambda. The bone was removed by drilling to generate a window for impact. (B) The impactor tip was retracted and lowered to the surface of the exposed dura until contact was made. One week after the CCI experiments, mice were tested for neurobehavioral activity before being sacrificed. The brains were then collected for western blotting. SPT, sucrose preference; OFT, open field test.
Fig. 2.Weight gain, sucrose preference, and locomotor activity in control and unpredictable chronic mild stress (UCMS) groups. (A) Changes in body weight. (B) Sucrose preference in a time-dependent manner. (C) The total distance traveled in the open field test. (D) Frequency of rearing. All data are presented as mean±standard error of the mean (n=12). BL, baseline. *P<0.05. **P<0.01. ***P<0.001.
Fig. 3.Spatial learning and memory of animals following traumatic brain injury in control and unpredictable chronic mild stress (UCMS) group. (A) Mean latency (seconds) in acquisition trials. (B) Mean path length (cm) in acquisition trials. (C) Average speed in acquisition trials. (D) Mean total errors in acquisition trials. (E) Mean latency (seconds) in retention trials. (F) Mean path length (cm) on day 5 of retention trials. CCI, controlled cortical impact. *P<0.05. **P<0.01. ***P<0.001 (n=6 to 8 per group, bars and whiskers represent mean±standard error of the mean).
Fig. 4.(A–D) Locomotor activity and anxiety-related behavior in mice following traumatic brain injury in control and unpredictable chronic mild stress (UCMS) group. (A) Schematic representation of the open field test. The typical running pathway record generated by tracking software shows the search paths and strategies of each group of mice. (B) Total distance moved. (C) Distance moved in the central zone. (D) Distance moved in the peripheral zone. (E–H) The light-dark transition test. (E) Schematic representation of the light-dark transition test. (F) Time spent in the lit compartment, (G) initial latency of transition, and (H) number of transition times in the light-dark box. Data were analyzed by two-way analysis of variance, followed by Tukey’s post hoc test. CCI, controlled cortical impact. *P<0.05. **P<0.01 (n=8 to 10 per group, bars and whiskers represent mean±standard error of the mean).
Fig. 5.The protein expression levels in the cortex of mice in different groups. (A) Western blot bands and (B–H) densitometry analysis of each target protein. (B) RNA-binding
proteins, including fox-1 homology 3/neuron-specific nuclear protein (RBFOX3/NeuN). (C) Glial fibrillary acidic protein (GFAP). (D) allograft inflammatory factor 1/ionized calcium-binding adapter molecule 1 (AIF-1/Iba-1). (E) B-cell lymphoma 2 (Bcl-2)-associated X protein (Bax). (F) Bcl-2. (G) Bax/Bcl-2 ratio. (H) Procaspase-3. β-Actin was used
as the internal loading control except for the Bax/Bcl-2 ratio. All data are presented as the mean±standard standard error of the mean, and each experiment was repeated more than three times (n=4 in each group, but n=3 in the procaspase-3 control+sham group). Statistical significance was analyzed by two-way analysis of variance (ANOVA). When an interaction effect occurred (P<0.05 shown by ANOVA), Tukey’s or Bonferroni’s post hoc test was used to assess the difference between groups. CUMS, chronic unpredictable mild stress; TBI, traumatic brain injury. *P<0.05. **P<0.01. ***P<0.001.
REFERENCES
- 1. Monteiro S, Roque S, de Sa-Calcada D, Sousa N, Correia-Neves M, Cerqueira JJ. An efficient chronic unpredictable stress protocol to induce stress-related responses in C57BL/6 mice. Front Psychiatry 2015;6:6.
- 2. Eiland L, Romeo RD. Stress and the developing adolescent brain. Neuroscience 2013;249:162-71.
- 3. Syed SA, Nemeroff CB. Early life stress, mood, and anxiety disorders. Chronic Stress (Thousand Oaks) 2017;1:2470547017 694461.
- 4. Suo L, Zhao L, Si J, et al. Predictable chronic mild stress in adolescence increases resilience in adulthood. Neuropsychopharmacology 2013;38:1387-400.
- 5. Levine ME, Cole SW, Weir DR, Crimmins EM. Childhood and later life stressors and increased inflammatory gene expression at older ages. Soc Sci Med 2015;130:16-22.
- 6. Cole SW. Social regulation of human gene expression: mechanisms and implications for public health. Am J Public Health 2013;103 Suppl 1(Suppl 1):S84-92.
- 7. Popescu C, Anghelescu A, Daia C, Onose G. Actual data on epidemiological evolution and prevention endeavours regarding traumatic brain injury. J Med Life 2015;8:272-7.
- 8. Clevenger AC, Kim H, Salcedo E, et al. Endogenous sex steroids dampen neuroinflammation and improve outcome of traumatic brain injury in mice. J Mol Neurosci 2018;64:410-20.
- 9. Jung YH, Hong SI, Ma SX, et al. Strain differences in the chronic mild stress animal model of depression and anxiety in mice. Biomol Ther (Seoul) 2014;22:453-9.
- 10. Zhang Y, Wang Y, Lei H, et al. Optimized animal model to mimic the reality of stress-induced depression in the clinic. BMC Psychiatry 2017;17:171.
- 11. Lee SW, Jang MS, Jeong SH, Kim H. Exploratory, cognitive, and depressive-like behaviors in adult and pediatric mice exposed to controlled cortical impact. Clin Exp Emerg Med 2019;6:125-37.
- 12. Oh SK, Park HJ, Yu GG, Jeong SH, Lee SW, Kim H. Secondary hypoxic ischemia alters neurobehavioral outcomes, neuroinflammation, and oxidative stress in mice exposed to controlled cortical impact. Clin Exp Emerg Med 2021;8:216-28.
- 13. Patil SS, Sunyer B, Hoger H, Lubec G. Evaluation of spatial memory of C57BL/6J and CD1 mice in the Barnes maze, the Multiple T-maze and in the Morris water maze. Behav Brain Res 2009;198:58-68.
- 14. Condon EM. Chronic stress in children and adolescents: a review of biomarkers for use in pediatric research. Biol Res Nurs 2018;20:473-96.
- 15. Burstein O, Doron R. The unpredictable chronic mild stress protocol for inducing anhedonia in mice. J Vis Exp 2018;(140):58184.
- 16. Willner P. Chronic mild stress (CMS) revisited: consistency and behavioural-neurobiological concordance in the effects of CMS. Neuropsychobiology 2005;52:90-110.
- 17. Bielajew C, Konkle AT, Merali Z. The effects of chronic mild stress on male Sprague-Dawley and Long Evans rats: I. Biochemical and physiological analyses. Behav Brain Res 2002;136:583-92.
- 18. Farooq RK, Isingrini E, Tanti A, et al. Is unpredictable chronic mild stress (UCMS) a reliable model to study depression-induced neuroinflammation? Behav Brain Res 2012;231:130-7.
- 19. Ueno H, Suemitsu S, Murakami S, et al. Juvenile stress induces behavioral change and affects perineuronal net formation in juvenile mice. BMC Neurosci 2018;19:41.
- 20. Katz RJ, Roth KA, Carroll BJ. Acute and chronic stress effects on open field activity in the rat: implications for a model of depression. Neurosci Biobehav Rev 1981;5:247-51.
- 21. Ducottet C, Belzung C. Behaviour in the elevated plus-maze predicts coping after subchronic mild stress in mice. Physiol Behav 2004;81:417-26.
- 22. Ashman TA, Gordon WA, Cantor JB, Hibbard MR. Neurobehavioral consequences of traumatic brain injury. Mt Sinai J Med 2006;73:999-1005.
- 23. Paterno R, Folweiler KA, Cohen AS. Pathophysiology and treatment of memory dysfunction after traumatic brain injury. Curr Neurol Neurosci Rep 2017;17:52.
- 24. Popovitz J, Mysore SP, Adwanikar H. Long-term effects of traumatic brain injury on anxiety-like behaviors in mice: behavioral and neural correlates. Front Behav Neurosci 2019;13:6.
- 25. Calcia MA, Bonsall DR, Bloomfield PS, Selvaraj S, Barichello T, Howes OD. Stress and neuroinflammation: a systematic review of the effects of stress on microglia and the implications for mental illness. Psychopharmacology (Berl) 2016;233:1637-50.
- 26. Wohleb ES, Hanke ML, Corona AW, et al. β-Adrenergic receptor antagonism prevents anxiety-like behavior and microglial reactivity induced by repeated social defeat. J Neurosci 2011;31:6277-88.
- 27. Frick LR, Williams K, Pittenger C. Microglial dysregulation in psychiatric disease. Clin Dev Immunol 2013;2013:608654.
- 28. Chiu CC, Liao YE, Yang LY, et al. Neuroinflammation in animal models of traumatic brain injury. J Neurosci Methods 2016;272:38-49.
- 29. Woodcock T, Morganti-Kossmann MC. The role of markers of inflammation in traumatic brain injury. Front Neurol 2013;4:18.
- 30. Khandaker GM, Pearson RM, Zammit S, Lewis G, Jones PB. Association of serum interleukin 6 and C-reactive protein in childhood with depression and psychosis in young adult life: a population-based longitudinal study. JAMA Psychiatry 2014;71:1121-8.
- 31. Diz-Chaves Y, Astiz M, Bellini MJ, Garcia-Segura LM. Prenatal stress increases the expression of proinflammatory cytokines and exacerbates the inflammatory response to LPS in the hippocampal formation of adult male mice. Brain Behav Immun 2013;28:196-206.
- 32. Giovanoli S, Engler H, Engler A, et al. Stress in puberty unmasks latent neuropathological consequences of prenatal immune activation in mice. Science 2013;339:1095-9.
- 33. Frank MG, Hershman SA, Weber MD, Watkins LR, Maier SF. Chronic exposure to exogenous glucocorticoids primes microglia to pro-inflammatory stimuli and induces NLRP3 mRNA in the hippocampus. Psychoneuroendocrinology 2014;40:191-200.
