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Article

Chronic Administration of 7,8-DHF Lessens the Depression-like Behavior of Juvenile Mild Traumatic Brain Injury Treated Rats at Their Adult Age

1
Department of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan
2
Department of Neurology, Chang Gung Memorial Hospital-Linkou Medical Center and Chang Gung University College of Medicine, Taipei 33305, Taiwan
3
Institute of Medicine and Psychology, Novosibirsk State University, 630090 Novosibirsk, Russia
4
Laboratory of Experimental Models of Neurodegenerative Processes, Scientific Research Institute of Neurosciences and Medicine, 630117 Novosibirsk, Russia
5
Department of Biochemical Science and Technology, National Chiayi University, Chiayi 600355, Taiwan
*
Authors to whom correspondence should be addressed.
Pharmaceutics 2021, 13(12), 2169; https://doi.org/10.3390/pharmaceutics13122169
Submission received: 15 September 2021 / Revised: 11 November 2021 / Accepted: 10 December 2021 / Published: 16 December 2021
(This article belongs to the Special Issue Traumatic Brain Injury (TBI) Mechanisms and Novel Therapies)

Abstract

:
Traumatic brain injury (TBI) is a leading cause of mortality and morbidity among the global youth and commonly results in long-lasting sequelae, including paralysis, epilepsy, and a host of mental disorders such as major depressive disorder. Previous studies were mainly focused on severe TBI as it occurs in adults. This study explored the long-term adverse effect of mild TBI in juvenile animals (mTBI-J). Male Sprague Dawley rats received mTBI-J or sham treatment at six weeks old, then underwent behavioral, biochemical, and histological experiments three weeks later (at nine weeks old). TTC staining, H&E staining, and brain edema measurement were applied to evaluate the mTBI-J induced cerebral damage. The forced swimming test (FST) and sucrose preference test (SPT) were applied for measuring depression-like behavior. The locomotor activity test (LAT) was performed to examine mTBI-J treatment effects on motor function. After the behavioral experiments, the dorsal hippocampus (dHip) and ventral hippocampus (vHip) were dissected out for western blotting to examine the expression of brain-derived neurotrophic factor (BDNF) and tropomyosin receptor kinase B (TrkB). Finally, a TrkB agonist 7,8-DHF was injected intraperitoneally to evaluate its therapeutic effect on the mTBI-J induced behavioral abnormalities at the early adult age. Results showed that a mild brain edema occurred, but no significant neural damage was found in the mTBI-J treated animals. In addition, a significant increase of depression-like behaviors was observed in the mTBI-J treated animals; the FST revealed an increase in immobility, and a decrease in sucrose consumption was found in the mTBI-J treated animals. There were no differences observed in the total distance traveled of the LAT and the fall latency of the rotarod test. The hippocampal BDNF expression, but not the TrkB, were significantly reduced in mTBI-J, and the mTBI-J treatment-induced depression-like behavior was lessened after four weeks of 7,8-DHF administration. Collectively, these results indicate that even a mild juvenile TBI treatment that did not produce motor deficits or significant histological damage could have a long-term adverse effect that could be sustained to adulthood, which raises the depression-like behavior in the adult age. In addition, chronic administration of 7,8-DHF lessens the mTBI-J treatment-induced depression-like behaviors in adult rats. We suggest the potential usage of 7,8-DHF as a therapeutic agent for preventing the long-term adverse effect of mTBI-J.

1. Introduction

Traumatic brain injury (TBI) is a leading cause of mortality and morbidity among the global youth [1,2,3,4]. Over the past two decades, the mortality of TBI in both the United States and Taiwan has dropped, which could be attributed to law enforcement efforts, advances in sports safety equipment, more accessible access to first aid, and improvements to diagnostic techniques [5,6,7]. With the increased survival rate also came an influx of TBI-related psychiatric cases [5,6,7,8,9,10].
The brain damage induced by TBI is a complex series of events best described as four overlapping phases: primary injury, a progression of injury, secondary damage, and regeneration [11,12,13,14]. Primary injury to the brain may result from: (1) brain contusion via direct skull impact; (2) brain abrasion against the rough interior surface of the skull; (3) shearing and stretching of brain tissue via violent motion; or (4) vascular response to impact, including subdural hematoma characterized by the rupture of blood vessels located between the brain and dura mater.
The pathophysiology of TBI is amplified by secondary injuries such as hypoxia, ischemia, increased intracranial pressure, seizure, and cerebral edema. Recent studies have heavily focused on preventing or at least ameliorating secondary injury as a means to delay brain damage. Specific targets such as the glutaminergic neurotransmission systems, free radical production [15], lipid peroxidation [16], growth factors [17], inflammatory cytokines [14,18,19], and ion transport [20,21,22] have been identified.
The cerebral cortices (e.g., prefrontal and temporal cortex) are at high risk of being damaged under TBI. Brain damage from TBI may result from rotational (angular) force, linear (translational) force, or the blunt force of deceleration upon impact, leading to single or multiple contrecoup contusions [23,24]. However, the subcortical structures such as the limbic system (hippocampus, amygdala, nucleus accumbens) are also susceptible to such impact [23,24], which may explain that TBI patients tend to suffer from emotional disorders and memory-related diseases [25,26,27]. TBI patients often suffer from major depressive disorder (MDD) [27,28,29,30,31], posttraumatic stress disorder (PTSD) [24,32,33,34], and both anterograde and retrograde amnesia [35,36].
Brain edema is the most common and severe secondary injury associated with TBI, which could elevate intracranial pressure and result in death. Generalized anxiety disorder (GAD), PTSD, and MDD are the most prevalent psychiatric sequelae of TBI. Previous TBI studies have focused mainly on adults [37,38,39], but adolescent males comprise the largest TBI cohort with 21.3% of total cases [40]. Therefore, in the urgent interest of public health, researchers are beginning to focus on elucidating the pathological mechanisms and devising new therapies for the neurological and psychological consequences of adolescent TBI.
Major depressive disorder (MDD) is one of the most frequently reported conditions associated with TBI, with a prevalence of 25% to 40% in mild-to-severe TBI cases compared to a 17% prevalence in the general population [41,42]. In one prospective, multicenter study involving 666 cases of moderate-to-severe TBI, high rates of several depression-like symptoms including fatigue (29%), distractibility (28%), anger/irritability (28%), and rumination (25%) were found [43]. Almost 27% of TBI patients diagnosed with depression in this study experienced feelings of hopelessness, worthlessness, and anhedonia. Past research has suggested that MDD may result from the abnormal expression/phosphorylation of amygdaloid mitogen-activated protein kinase (MAPK) or tropomyosin receptor kinase B (TrkB)—both respectively induced by acute and chronic stress [17,44,45,46]. Elevated amygdaloid long-term potentiation (LTP) has also been observed in MDD animal models [47,48]. Our pilot experiment showed that both increases of depression-like behavior and elevated amygdaloid LTP were found in the juvenile mild TBI-treated rats (mTBI-J), which suggests our model could effectively mimic the pathological condition in TBI patients.
The tropomyosin receptor kinase B (TrkB) is the brain-derived neurotrophic factor (BDNF) receptor. This is abundantly expressed in the central nervous system, particularly the limbic system, including the hippocampus and amygdala. Previous results demonstrated that the hippocampal and amygdaloid BDNF expression level is inversely related to the severity of MDD. The efficacy of antidepressants is positively correlated with their modulation effect at the BDNF expression [49], and both selective serotonin reuptake inhibitors (SSRIs) and tricyclic antidepressants (TCAs) normalize BDNF expression in MDD patients [50,51]. Additionally, electroconvulsive treatment (ECT) may reduce depressive symptoms by increasing the expression of BDNF in the hippocampus [52]. Conclusively, these results suggest BDNF is an essential factor for the pathological mechanism of MDD.
It was recently demonstrated that 7,8-dihydroxyflavone (7,8-DHF), a novel stroke medication permeable to the membrane and able to cross the blood–brain barrier (BBB), acts as a BDNF mimetic to reduce depression-like behavior in mice and rats [53,54]. Other research has found that 7,8-DHF functions as an antioxidant to protect cells from apoptosis [55] and even prevent synaptic loss associated with Alzheimer’s disease [56]. The present study also investigates the possible therapeutic benefits of 7,8-DHF by a TBI-induced depression model.
It is well-known that the abundance of excitatory neurotransmission within the hippocampus makes it vulnerable to stroke and traumatic brain injury [57]. It has been reported that the ventral hippocampus plays an important role in depression-like syndromes [58]. We suggested that juvenile TBI treatment may have long-term regulation effects on the hippocampal BDNF and TrkB expression, leading to increased depression-like behavior in adulthood. The present study is aimed to examine this hypothesis.

2. Materials and Methods

2.1. Animals

Juvenile male Wistar rats purchased from BioLASCO Co., Ltd. (Taipei, Taiwan). were kept at a temperature of 24 ± 1 °C, in a well-ventilated vivarium, with a 12/12 daylight cycle and access to water and food ad libitum at all times. All procedures were adapted from the National Institutes of Health Guide for Care and Use of Laboratory Animals and the guidelines set forth by the IACUC at the National Taiwan Normal University and carried out following the ARRIVE guidelines (IACUC Approval Number: 109046). All efforts were made to minimize the animals’ suffering and use fewer animals.

2.2. The Juvenile Mild Traumatic Brain Injury Model

A modified Marmarou’s weight drop model was applied to induce mild impact acceleration to diffuse brain injury [59]. While under anesthesia by pentobarbital (50 mg/kg, intraperitoneally), a midline incision was made in the scalp, and adjacent skin flaps were opened laterally to expose the skull. A metal helmet was then temporarily placed over the skull to prevent fracture. Next, rats were placed in the prone position under the force delivery device, and a 150-g weight was allowed to fall freely from a height of 0.5 m onto the metal helmet [60]. All animals were allowed to recover from surgery for seven days before behavioral testing. For evaluating the therapeutic effect of TrkB agonist 7,8-DHF, animals received their first 7,8-DHF (5 mg/kg, i.p.) injection immediately after the mTBI-J treatment, once a day for a total of twenty-eight days (Figure 1).

2.3. Brain Damage Measurement

a.
2,3,5,-triphenyltetrazolium chloride monohydrate stain (TTC stain)
Twenty-four hours after mTBI-J treatment, rats were anesthetized with 100 mg/kg pentobarbital and then decapitated. Brains were quickly removed, and 2 mm coronal slices were made with a rodent brain matrix. Sections were stained for 20 min with 2% 2, 3, 5,-triphenyltetrazolium chloride monohydrate (TTC) (Sigma, Marlborough, MA, USA) at 37 °C. In a double-blinded manner, the infarction volume was analyzed by ImageJ analysis software. Sections were scanned and the contusion volume in 8–12 mm coronal slices, then set up the threshold to select the complete corpus callosum by ImageJ image processing. White volume on 8–12 mm section was summed and multiplied by section thickness to give the white volume and percentage [20,61,62,63].
b.
Brain edema
Animals were anesthetized with 100 mg/kg pentobarbital and then decapitated 24 h after TBI treatment. Brains were quickly removed and weighed. Subsequently, each brain was desiccated at 70 °C for 48 h. Reweighing took place to obtain the dry brain weight. By subtracting from the total brain weight, the wet weight of the brain was obtained. Water content was determined as a percentage of the total brain weight and calculated according to the following formula [64]:
%   Water   content   = 100   ×   ( wet   weight dry   weight ) wet   weight

2.4. Locomotor Activity Test (LAT)

For measuring locomotor activity, rats were placed in the center of a testing chamber with a base 42 cm by 42 cm and a height of 36 cm. Rats were then left to move about freely for 10 min. The total moving distance during the test stage was recorded and analyzed using Smart 3.0 software (Panlab, San Diego, CA, USA)

2.5. Sucrose Preference Test (SPT)

The first two days of this test involved an acclimation stage during which rats were presented with a choice of either regular water or a 1% sucrose solution. During this period, the rats learned which bottle contains which fluid, and then formed preferences measurable by the amount of fluid consumed. The position of water bottles was switched daily to ensure that the rats chose based on sucrose rather than purely by habit. Testing periods lasted for 12 days. After the data was collected, the sucrose preference ratio was calculated according to the following formula:
Preference   ratio   = sucrose   water   intake total   water   intake

2.6. Forced Swim Test (FST)

We used a modified Porsolt protocol [65] for the forced swimming test, during which a swimming cylinder 18 cm in diameter and 45 cm in height was filled 36 cm deep with water—deep enough that rats were unable to touch the bottom with their feet or tail without falling below the surface. Water temperature was maintained at 25 ± 1 °C. The first day consisted of an acclimation stage during which rats were forced to swim continuously for 15 min. Afterwards, rats were placed into a box containing a 60 W lightbulb for 30 min to dry before returning to their home cages. The test stage was conducted 24 h following the acclimation stage. Rats were forced to swim for 5 min during the test stage while the video was taken and analyzed using Smart 3.0 software (Panlab, San Diego, CA, USA). The percent time of immobility was recorded and analyzed as an index of depression-like behavior.

2.7. Western Blot

Following behavioral experimentation, rats were sacrificed, and their brains were promptly placed onto dry ice. The dorsal and ventral hippocampus were dissected and homogenized in a tissue extraction buffer (Tissue Extraction Reagent Invitrogen™, Waltham, MA, USA). Samples were then centrifuged at 13,200 rpm for 30 min at 4 °C. The total protein concentration was determined using a Bio-Rad Bradford Protein Assay Kit (Bio-Rad, Hercules, CA, USA). A total of 25 μg of protein from each sample was electrophoresed on SDS-PAGE then separated on a PVDF membrane (Merck Millipore, Darmstadt, Hesse, Germany).
Blotting was blocked in PBS containing 5% skim milk overnight at 4 °C. Primary antibodies were selected for BDNF (1:1000; Abcam, Inc., Cambridge, UK), TrkB (1:1000; Cell Signaling Tech, Inc., Danvers, MA, USA), and GAPDH, (1:5000; Abcam, Inc., Cambridge, UK). The PVDF membranes were kept in a primary antibody TBST solution overnight at 4 °C before adding HRP-conjugated secondary antibodies (1:5000; Abcam, Inc., Cambridge, UK) for 1 h at 4 °C. Binding was detected using enhanced chemiluminescence (Bioman Scientific Co. Ltd., New Taipei City, Taiwan) and was recorded by photographic film (Fujifilm, Tokyo, Japan). Evidence of protein presence was analyzed by ImageJ analysis software (National Institutes of Health, Bethesda, MD, USA).

2.8. Statistics

Data are presented as means ± SEM. Using unpaired t-tests with Welch’s as described in the figure legends, p values were calculated for comparisons between only two groups. Comparisons across more than two groups were made using a two-way ANOVA for more than one independent variable. A Bonferroni post-test was used following significance with an ANOVA. The standard error of the mean is indicated by error bars for each group of data. Differences were considered significant at P values below 0.05. All data were analyzed with GraphPad Prism software (San Diego, CA, USA).

3. Results

3.1. The mTBI-J Treatment Does Not Induce Severe Cerebral Damage in Juvenile Rats

Animals were subjected to either sham, mTBI-J, or severe-TBI treatment at six weeks old. They were then returned to their home cage and stayed there for 24 h, then sacrificed for TTC stain (all three groups) or brain edema assessment (sham and mTBI-J groups only) (Figure 1). The TTC stain and the brain edema assessment were applied to evaluate the mTBI-J treatment induce cerebral damage in juvenile rats. The severe-TBI served as a corresponding control for comparing the mTBI-J induced brain damage.
The results of TTC stain showed a significant increase in the area of infarction on severe-TBI treated animals (unpaired t-test, two tail, t = 4.102, df = 6.915, p = 0.0047, N = 7 and 6 for sham and severe-TBI group, and unpaired t-test, two tail, t = 4.268, df = 6.792, p < 0.004, N = 7 and 6 for mTBI-J and severe-TBI group), but not on mTBI-J and sham groups (unpaired t-test, two tail, t = 0.256, df = 11.99, p = 0.8027, N = 7 and 7 for sham and mTBI-J) (Figure 2A). An acute brain edema was found in mTBI-J treated animals comparing with the control group (unpaired t-test, two tail, t = 5.15, df = 14.78, p < 0.001, N = 10 for sham and mTBI-J group) (Figure 2B). The H&E stain result did not reveal significant neural damage in the cerebral cortex and hippocampus (Figure 2C).

3.2. The Mild Juvenile TBI Treated Animals Showed an Increase in Depression-like Behavior in Adulthood

It is well-documented that adult TBI treatment increases the susceptibility to have depression [28,30,66,67]. Here we examined whether mTBI-J treatment could elevate depression-like behavior in adulthood. Additional sham and mTBI-J treated rats were prepared then subjected to either sucrose preference test (SPT) or forced swimming test (FST) at the age of nine weeks old for evaluating their depression-like behavior (Figure 1).
The SPT and the FST results revealed a significant increase in depression-like behaviors in the mTBI-J animals compared with the corresponding sham control groups. In the SPT, the sucrose preference ratio was significantly decreased in the mTBI-J animals compared with the sham control group (two-way ANOVA, F(1, 16) = 9.223, p = 0.0079, N = 9 per group) (Figure 3A). We further analyzed the average sucrose preference ratio, which decreased by 23% in the mTBI-J animals compared with the sham control group (unpaired t-test, two tail, t = 8.042, df = 12.06, p < 0.0001, N = 9 per group) (Figure 3B). In the FST, the percent immobility was increased by 57% in the mTBI-J animals comparing with the sham group (unpaired t-test, two tail, t = 2.481, df = 14.99, p = 0.0254, N = 9 per group) (Figure 3C).

3.3. Determination of the BDNF and TrkB Expression in the Dorsal Hippocampus and Ventral Hippocampus of mTBI-J Treated Animals

Both BDNF and TrkB have been involved in the depression-like behavior of adult TBI-treated rats or mice [68,69,70]. We performed a western blot to evaluate BDNF and TrkB expression in the ventral hippocampus (vHip) and dorsal hippocampus (dHip). Briefly, rats were sacrificed at nine weeks old following behavioral experiments. Results showed that only the BDNF in vHip was significantly decreased in the mTBI-J treated animals (unpaired t-test, two tail, t = 3.094, df = 11.39, p = 0.01, N = 8 per group), but no significant difference was found between the TrkB in the mTBI-J group and sham group (unpaired t-test, two tail, t = 1.062, df = 13.45, p = 0.3071, N = 8 per group) (Figure 4B). No significant changes in the BDNF and TrkB were found in the dHip (unpaired t-test, two-tailed, t = 0.7729 and 0.888, df = 13.55 and 11.04, p = 0.4529 and 0.3935, N = 8 per group) (Figure 4A).

3.4. To Evaluate the Possible Therapeutic Effect of 7,8-DHF on the mTBI-J Induced Depression-like Behavior

For evaluating the possible therapeutic effect of TrkB agonist 7,8-DHF, additional mTBI-J treated rats were prepared and randomly assigned to mTBI-J + vehicle group, or mTBI-J + 7,8-DHF (5 mg/kg i.p.) treated group [54]. The procedure is summarized in Figure 1B. Animals received their first 7,8-DHF injection immediately after the mTBI-J treatment, once a day for a total of twenty-eight days (Figure 1A).
Results showed the sucrose preference ratio was restored after 7,8-DHF treatment (two-way ANOVA, F(1, 18) = 14.94, p = 0.0011, N = 10 per mTBI-J + vehicle group and mTBI-J + 7,8-DHF group (Figure 5A). The average sucrose preference ratio shows the same result, which increased by 13% in the mTBI-J + 7,8-DHF animals compared with the mTBI + vehicle group (unpaired t-test, two-tailed, t = 3.866, df = 11.42, p = 0.0025, N = 10 per group) (Figure 4B). There was no difference in body weight between both groups (Figure 4C).
In addition, the percent time of immobility was significantly reduced in the 7,8-DHF treated group compared to the corresponding control animals (two-way ANOVA, F(1, 16) = 9.223, p = 0.0079, N = 10 per mTBI-J + vehicle group and mTBI-J + 7,8-DHF group (Figure 5D). Furthermore, there was no difference in the locomotor motor distance (unpaired t-test, two tail, t = 1.151, df = 17.88, p = 0.265, N = 10 per mTBI + vehicle group and mTBI-J + 7,8-DHF group) (Figure 5E), that was analyzed for excluding the possible non-specific effect of mTBI treatment on the animals’ behavior, which could be misinterpreted as an increase of depression-like behavior. Collectively, the 7-DHF treatment effectively reduced depression-like behavior in the mTBI-J treated animals.

4. Discussion

Our results demonstrated that juvenile mild traumatic injury (mTBI-J) treatment did not induce severe neural damage, which could have a long-term adverse neuropsychological impact. Here, an increase the depression-like behaviors in the adulthood of the mTBI-J treated rats was observed. The western blotting data revealed a reduction of BDNF in the ventral hippocampus but not in the dorsal hippocampus. Most importantly, a chronic administration of TrkB agonist 7,8-DHF lessened the depression-like behavior of mTBI-J treated rats at the adult age. In summary, our results suggest the potential usage of 7,8-DHF as a therapeutic agent for preventing the long-term adverse effect of mTBI-J.
Previous studies have focused mainly on severe TBI inadulthood [37,38,39]. Given the higher incidence of mild TBI (mTBI) at the age of 10~29 [71], it is therefore in the urgent interest of public health that clinical researchers focus on elucidating the pathological mechanisms of, and devising new therapies for, the neurological, psychological consequences of juvenile mild-TBI (mTBI-J). Severe TBI pathophysiology in adult rats was amplified by secondary injuries including hypoxia, ischemia, increased intracranial pressure, seizure, and cerebral edema [22]. The mTBI did not induce significant neural damage; no significant signs of neural damage were found in the TTC staining and H&E staining results. Acute brain edemas were found 24 h after mTBI-J treatment. In comparison to the adult severe TBI treatment that resulted in approximately 40% of mortality in rats, all the mTBI-J treated animals survived without showing sequels, such as motor dysfunction or discoordination. Our previous results showed an increase in hippocampal cation transporter NKCC1 expression, which plays an essential role in the secondary injuries of TBI [21,72]. We did not find a significant increase of NKCC1 in the hippocampus (data not shown). The mechanism underlying and the significance of mTBI-J induced brain edema remains uncertain. Subsequent experiments using glucocorticoids to suppress the brain edema will help elucidate its role on the mTBI-J induced long-term adverse effect.
Meanwhile, there is evidence that cerebral edema, regardless of the reasons it may be caused (mild trauma, hypoxia/ischemia, moderate neurotoxicity of glutamate), always develops against the background of oxidative and nitrosative stress [73], which leads to the inhibition of the mitochondrial electron transport chain [74]. Energy deficiency leads to the disruption and work of Na + / K + -ATP-ase and Ca2+ -ATP-ase, the disruption of ion homeostasis, and the intracellular increase in the concentration of Na + and Ca2 + ions [75]. An increase in the concentration of Na + ions always leads to an increase in the content of H2O molecules, and an increase in the concentration of Ca2+ ions leads to the activation of constitutive NO-synthases (neuronal and endothelial), which in turn leads to the activation of the nitric oxide cycle [76] and, to a greater extent, to a decrease in the energy function of mitochondria [74,75,76]. Thus, with traumatic brain injury of varying severity, negative and positive feedback mechanisms are activated. In the first case, the regulatory processes are not disturbed. In this case, compensatory-adaptive mechanisms are activated that prevent the development of structural damage, and mild traumatic brain injury ultimately leads to the restoration of violations and injuries [77]. In the second case, irreversible violations occur. Against the background of oxidative and nitrosative stress, a typical pathological process develops [78] with its nonspecific pathological reactions characteristic not only of moderate and severe traumatic brain injury [79]. Such processes are universal in nature and develop during hypoxia/ischemia, moderate neurotoxicity of glutamate [73,74,75,77,78], and also participate in the development of the pathogenesis of neurological diseases and mental disorders [80] with long-term consequences as in patients after brain injuries of mild to moderate severity [79,81], and in patients who have been infected with Covid-19 [80,82].
Two categories of behavioral models, learned helplessness and anhedonia, are widely used to study the pathological mechanism of major depressive disorder (MDD) [83,84,85]. We used the FST (for evaluating learned helplessness) and SPT (for examining anhedonia) to measure the depression-like behavior of the mTBI-J animals. Our studies showed the mTBI-J animals’ inability to experience pleasure from rewarding (in SPT) and became more despaired, a core symptom of depression (in FST). Both animal and human studies report impaired sensorimotor function following TBI, and such impairment could be misinterpreted as depression-like behavior. Therefore, the locomotor activity was also measured. Results showed no significant difference in the total moving distance between mTBI-J treated and sham control animals (Figure 5E). Accordingly, the FST showed increased free-floating behavior in the mTBI-J animals is an accurate indicator of depression-like behavior rather than merely reflective of motor deficiency. These results are consistent with past literature on TBI and depression.
Both the dorsal hippocampus (dHip) and ventral hippocampus (vHip) were dissected and subjected to western blot for measuring the expression of BDNF and TrkB. Neither the dHip nor the vHip showed changes in TrkB expression, but only the expression of BDNF was significantly reduced in vHip. The hippocampus is not a homogeneous brain area. It is widely accepted that the dHip and vHip are related to learning and emotion, respectively [86]. A previous study suggested that focal brain damage (post-stroke or posttraumatic) induced hippocampus lesion is essential for the onset of TBI-induced depression-like response [87].
BDNF is one of the most widely distributed and extensively studied neurotrophic in the mammalian brain. Among its functions, one can mention control of neuronal and glial development, neuroprotection, and modulation of both short- and long-lasting synaptic interactions, which are critical for cognition and memory [88]. Tropomyosin receptor kinase B (TrkB) is the receptor of BDNF. It is proven that the BDNF-TrkB pathway plays a critical role in the occurrence of mental illnesses, such as depression and anxiety [89,90,91]. Previous studies suggested that MDD may result from the abnormal expression of hippocampus expression of B induced by acute and chronic stress [91]. The MDD severity inversely correlated to the expression of hippocampal and amygdaloid TrkB. Antidepressants efficacy correlates positively with BDNF expression [49] and the downstream signaling via BDNF and TrkB. These results suggest that BDNF plays a crucial role in the pathophysiology of depression and the therapeutic mechanisms of antidepressants [88].
Given that the decrease of BDNF expression was found in the mTBI-J treated animals, we examined whether an administration of TrkB agonist 7,8-DHF could lessen or prevent the mTBI-J treatment-induced depression-like behaviors. Our pilot experiment results showed no therapeutic effect of 7,8-DHF after acute injection or under the subthreshold dose (data not shown). Further experiments such as using another TrkB agonist or directly injecting 7,8-DHF into the vHip will help verify our findings.
Our results showed mTBI-J treatment transforms into chronic neuropsychiatric conditions, and its underlying mechanisms are largely unknown. In the previous studies, the BDNF promoter activity was decreased in the amygdala after TBI treatment, although it was suggested that decreased amygdaloid BDNF expression is responsible for the elevated anxiety-like response [92]. Recently, the epigenetic modification of chromatin via histone post-translational modifications and DNA methylation has been reported to mediate the adverse effects of environmental perturbations (stress, post-stroke, and posttraumatic) on gene expression in the brain. We speculate a similar mechanism might also be involved here. Further experiments using chromatin immunoprecipitation and bisulfite sequencing will be helpful to examine this possibility.
In addition to the hippocampus, other brain regions such as the medial prefrontal cortex (mPFC) and nucleus accumbens (NAcc) also play an essential role in both anhedonia and MDD. Besides the BDNF-TrkB pathway, several genes have been associated with depression, and most are related to the hypothalamic-pituitary-adrenal (HPA) axis [93,94], or 5-HT/dopamine reuptake [95,96]. These observations are also consistent with the monoamine hypothesis of depression, suggesting that dysfunctional monoamine neurotransmission is one of the primary causes of MDD. FK506 binding protein 5 (FKBP5), nuclear receptor subfamily 3 group C member 1 (Nr3c1), and corticotropin-releasing hormone (CRH), are genes essential of maintaining normal HPA axis function. We suggest that the possible impact of mTBI-J treatment on the expression of those genes should be examined in the subsequent experiments.
In conclusion, we examined the hypothesis that the BDNF-TrkB signaling pathway is impaired and causes the elevation of depression-like behavior in mTBI-J treated rats. Our results suggested that mTBI-J treatment has long-term regulation effects on hippocampal BDNF expression, leading to increased depression-like behavior in adulthood. We suggest the potential usage of 7,8-DHF as a therapeutic agent for preventing the long-term adverse effect of mTBI-J treatment.

Author Contributions

Conceptualization, Y.-L.Y. and K.-T.L.; Funding acquisition, T.G.A., M.A.T., Y.-L.Y. and K.-T.L.; Investigation, S.-T.Y.; Methodology, S.-T.Y., H.-Y.H., T.G.A. and M.A.T.; Resources, L.-S.R. and M.-F.L.; Supervision, K.-T.L.; Writing—original draft, Y.-L.Y.; Writing—review and editing, K.-T.L. All authors have read and agreed to the published version of the manuscript.

Funding

The study was funded by Ministry of Science and Technology (MOST), Taiwan, MOST 108-2320-B-003- 006-MY3 (KTL); and MOST 107-2320-B-415-006 (YLY). YLY and TGA are also supported by Russian Science Foundation: RSF 20-65-46006.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the IACUC of National Taiwan Normal University and carried out following the ARRIVE guidelines (IACUC Approval Number: 109046).

Informed Consent Statement

Not applicable.

Data Availability Statement

All data are available upon request.

Acknowledgments

KTL and YLY gratefully acknowledges the financial assistant by MOST, Taiwan, MOST 108-2320-B-003- 006-MY3, MOST 107-2320-B-415-006, respectively. This study also partially supported by Russian Science Foundation (grant No. 20-65-46006; supported Y.-L.Y. and T.G.A.; covered the article publication fee and purchase of some reagents, antibodies, and disposals).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Khellaf, A.; Khan, D.Z.; Helmy, A. Recent advances in traumatic brain injury. J. Neurol. 2019, 266, 2878–2889. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Maas, A.I.R.; Menon, D.K.; Adelson, P.D.; Andelic, N.; Bell, M.J.; Belli, A.; Bragge, P.; Brazinova, A.; Büki, A.; Chesnut, R.M.; et al. Traumatic brain injury: Integrated approaches to improve prevention, clinical care, and research. Lancet Neurol. 2017, 16, 987–1048. [Google Scholar] [CrossRef] [Green Version]
  3. Popernack, M.L.; Gray, N.; Reuter-Rice, K. Moderate-to-severe traumatic brain injury in children: Complications and rehabilitation strategies. J. Pediatr. Health Care 2015, 29, e1–e7. [Google Scholar] [CrossRef] [Green Version]
  4. Cheng, P.; Li, R.; Schwebel, D.C.; Zhu, M.; Hu, G. Traumatic brain injury mortality among u.S. Children and adolescents ages 0–19 years, 1999–2017. J. Saf. Res. 2020, 72, 93–100. [Google Scholar] [CrossRef] [PubMed]
  5. Menon, D.K.; Schwab, K.; Wright, D.W.; Maas, A.I. Demographics and Clinical Assessment Working Group of the International and Interagency Initiative toward Common Data Elements for Research on Traumatic Brain Injury and Psychological Health. Position statement: Definition of traumatic brain injury. Arch. Phys. Med. Rehabil. 2010, 91, 1637–1640. [Google Scholar] [CrossRef]
  6. Kuehn, B. Traumatic brain injuries among youth. JAMA 2019, 321, 1559. [Google Scholar] [CrossRef]
  7. Hsu, I.L.; Li, C.Y.; Chu, D.C.; Chien, L.C. An epidemiological analysis of head injuries in taiwan. Int. J. Environ. Res. Public Health 2018, 15, 2457. [Google Scholar] [CrossRef] [Green Version]
  8. Williams, W.H.; Chitsabesan, P.; Fazel, S.; McMillan, T.; Hughes, N.; Parsonage, M.; Tonks, J. Traumatic brain injury: A potential cause of violent crime? Lancet Psychiatry 2018, 5, 836–844. [Google Scholar] [CrossRef] [Green Version]
  9. McCauley, S.R.; Wilde, E.A.; Anderson, V.A.; Bedell, G.; Beers, S.R.; Campbell, T.F.; Chapman, S.B.; Ewing-Cobbs, L.; Gerring, J.P.; Gioia, G.A.; et al. Recommendations for the use of common outcome measures in pediatric traumatic brain injury research. J. Neurotrauma 2012, 29, 678–705. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Tramontana, M.G.; Prokop, J.W.; Williamson, E.; Duffie, T.; LaFever, H. Traumatic brain injury-related attention deficits in children: A controlled treatment trial with lisdexamfetamine dimesylate (vyvanse). Brain Sci. 2021, 11, 117. [Google Scholar] [CrossRef]
  11. Sosin, D.M.; Sniezek, J.E.; Waxweiler, R.J. Trends in death associated with traumatic brain injury, 1979 through 1992. Success and failure. JAMA 1995, 273, 1778–1780. [Google Scholar] [CrossRef]
  12. Cernak, I. Animal models of head trauma. NeuroRx 2005, 2, 410–422. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Ng, S.Y.; Lee, A.Y.W. Traumatic brain injuries: Pathophysiology and potential therapeutic targets. Front. Cell Neurosci. 2019, 13, 528. [Google Scholar] [CrossRef]
  14. Postolache, T.T.; Wadhawan, A.; Can, A.; Lowry, C.A.; Woodbury, M.; Makkar, H.; Hoisington, A.J.; Scott, A.J.; Potocki, E.; Benros, M.E.; et al. Inflammation in traumatic brain injury. J. Alzheimers Dis. 2020, 74, 1–28. [Google Scholar] [CrossRef] [PubMed]
  15. Bayir, A.; Kafali, M.E.; Ak, A.; Sahin, M.; Karagozoglu, E.; Gul, M.; Karabulut, K. Effects of hypertonic saline, haes and dimethylsulphoxide on free oxygen radicals in haemorrhagic shock oxygen radicals in haemorrhagic shock. Ulus. Travma Acil Cerrahi Derg. 2003, 9, 154–159. [Google Scholar]
  16. Anthonymuthu, T.S.; Kenny, E.M.; Bayır, H. Therapies targeting lipid peroxidation in traumatic brain injury. Brain Res. 2016, 1640, 57–76. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Korley, F.K.; Diaz-Arrastia, R.; Wu, A.H.; Yue, J.K.; Manley, G.T.; Sair, H.I.; Van Eyk, J.; Everett, A.D.; Okonkwo, D.O.; Valadka, A.B.; et al. Circulating brain-derived neurotrophic factor has diagnostic and prognostic value in traumatic brain injury. J. Neurotrauma 2016, 33, 215–225. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Lu, K.T.; Wang, Y.W.; Wo, Y.Y.; Yang, Y.L. Extracellular signal-regulated kinase-mediated il-1-induced cortical neuron damage during traumatic brain injury. Neurosci. Lett. 2005, 386, 40–45. [Google Scholar] [CrossRef]
  19. Lu, K.T.; Wang, Y.W.; Yang, J.T.; Yang, Y.L.; Chen, H.I. Effect of interleukin-1 on traumatic brain injury-induced damage to hippocampal neurons. J. Neurotrauma 2005, 22, 885–895. [Google Scholar] [CrossRef] [PubMed]
  20. Lu, K.T.; Wu, C.Y.; Cheng, N.C.; Wo, Y.Y.; Yang, J.T.; Yen, H.H.; Yang, Y.L. Inhibition of the na+ -k+ -2cl- -cotransporter in choroid plexus attenuates traumatic brain injury-induced brain edema and neuronal damage. Eur. J. Pharmacol. 2006, 548, 99–105. [Google Scholar] [CrossRef] [PubMed]
  21. Lu, K.T.; Cheng, N.C.; Wu, C.Y.; Yang, Y.L. Nkcc1-mediated traumatic brain injury-induced brain edema and neuron death via raf/mek/mapk cascade. Crit. Care Med. 2008, 36, 917–922. [Google Scholar] [CrossRef]
  22. Jha, R.M.; Kochanek, P.M.; Simard, J.M. Pathophysiology and treatment of cerebral edema in traumatic brain injury. Neuropharmacology 2019, 145, 230–246. [Google Scholar] [CrossRef] [PubMed]
  23. Mehta, N.D.; Haroon, E.; Xu, X.; Woolwine, B.J.; Li, Z.; Felger, J.C. Inflammation negatively correlates with amygdala-ventromedial prefrontal functional connectivity in association with anxiety in patients with depression: Preliminary results. Brain Behav. Immun. 2018, 73, 725–730. [Google Scholar] [CrossRef] [PubMed]
  24. Sydnor, V.J.; Bouix, S.; Pasternak, O.; Hartl, E.; Levin-Gleba, L.; Reid, B.; Tripodis, Y.; Guenette, J.P.; Kaufmann, D.; Makris, N.; et al. Mild traumatic brain injury impacts associations between limbic system microstructure and post-traumatic stress disorder symptomatology. Neuroimage Clin. 2020, 26, 102190. [Google Scholar] [CrossRef]
  25. Wang, W.; Shen, M.; Sun, K.; Wang, Y.; Wang, X.; Jin, X.; Xu, J.; Ding, L.; Sun, X. Aminoguanidine reverses cognitive deficits and activation of camp/creb/bdnf pathway in mouse hippocampus after traumatic brain injury (tbi). Brain Inj. 2018, 32, 1858–1865. [Google Scholar] [CrossRef] [PubMed]
  26. Hoffman, A.N.; Paode, P.R.; May, H.G.; Ortiz, J.B.; Kemmou, S.; Lifshitz, J.; Conrad, C.D.; Currier Thomas, T. Early and persistent dendritic hypertrophy in the basolateral amygdala following experimental diffuse traumatic brain injury. J. Neurotrauma 2017, 34, 213–219. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Stein, M.B.; Jain, S.; Giacino, J.T.; Levin, H.; Dikmen, S.; Nelson, L.D.; Vassar, M.J.; Okonkwo, D.O.; Diaz-Arrastia, R.; Robertson, C.S.; et al. Risk of posttraumatic stress disorder and major depression in civilian patients after mild traumatic brain injury: A track-tbi study. JAMA Psychiatry 2019, 76, 249–258. [Google Scholar] [CrossRef] [PubMed]
  28. Papp, M.; Willner, P.; Muscat, R. An animal model of anhedonia: Attenuation of sucrose consumption and place preference conditioning by chronic unpredictable mild stress. Psychopharmacology (Berl) 1991, 104, 255–259. [Google Scholar] [CrossRef] [PubMed]
  29. Koo, J.W.; Duman, R.S. Il-1β is an essential mediator of the antineurogenic and anhedonic effects of stress. Proc. Natl. Acad. Sci. USA 2007, 105, 751–756. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Willner, P.; Towell, A.; Sampson, D.; Sophokleous, S.; Muscat, R. Reduction of sucrose preference by chronic unpredictable mild stress, and its restoration by a tricyclic antidepressant. Psychopharmacology (Berl) 1987, 93, 358–364. [Google Scholar] [CrossRef]
  31. Fann, J.R.; Bombardier, C.H.; Vannoy, S.; Dyer, J.; Ludman, E.; Dikmen, S.; Marshall, K.; Barber, J.; Temkin, N. Telephone and in-person cognitive behavioral therapy for major depression after traumatic brain injury: A randomized controlled trial. J. Neurotrauma 2015, 32, 45–57. [Google Scholar] [CrossRef] [Green Version]
  32. Bryant, R. Post-traumatic stress disorder vs traumatic brain injury. Dialogues Clin. Neurosci. 2011, 13, 251–262. [Google Scholar]
  33. Blakey, S.M.; Wagner, H.R.; Naylor, J.; Brancu, M.; Lane, I.; Sallee, M.; Kimbrel, N.A.; Workgroup, V.A.M.-A.M.; Elbogen, E.B. Chronic pain, tbi, and ptsd in military veterans: A link to suicidal ideation and violent impulses? J. Pain 2018, 19, 797–806. [Google Scholar] [CrossRef]
  34. Brenner, L.A. Neuropsychological and neuroimaging findings in traumatic brain injury and post-traumatic stress disorder. Dialogues Clin. Neurosci. 2011, 13, 311–323. [Google Scholar] [PubMed]
  35. Yi, J.H.; Cho, S.Y.; Jeon, S.J.; Jung, J.W.; Park, M.S.; Kim, D.H.; Ryu, J.H. Early immature neuronal death is partially involved in memory impairment induced by cerebral ischemia. Behav. Brain Res. 2016, 308, 75–82. [Google Scholar] [CrossRef]
  36. Mazwi, N.L.; Izzy, S.; Tan, C.O.; Martinez, S.; Glenn, M.B.; Giacino, J.T.; Wu, O.; Zafonte, R.; Edlow, B.L. Traumatic microbleeds in the hippocampus and corpus callosum predict duration of posttraumatic amnesia. J. Head Trauma Rehabil. 2019, 34, E10–E18. [Google Scholar] [CrossRef] [PubMed]
  37. Peruzzaro, S.T.; Andrews, M.M.M.; Al-Gharaibeh, A.; Pupiec, O.; Resk, M.; Story, D.; Maiti, P.; Rossignol, J.; Dunbar, G.L. Transplantation of mesenchymal stem cells genetically engineered to overexpress interleukin-10 promotes alternative inflammatory response in rat model of traumatic brain injury. J. Neuroinflamm. 2019, 16, 2. [Google Scholar] [CrossRef]
  38. Cetin, A.; Deveci, E. Evaluation of pecam-1 and p38 mapk expressions in cerebellum tissue of rats treated with caffeic acid phenethyl ester: A biochemical and immunohistochemical study. Folia Morphol. (Warsz) 2018, 78, 221–229. [Google Scholar] [CrossRef] [Green Version]
  39. Andrade, P.; Banuelos-Cabrera, I.; Lapinlampi, N.; Paananen, T.; Ciszek, R.; Ndode-Ekane, X.E.; Pitkanen, A. Acute non-convulsive status epilepticus after experimental traumatic brain injury in rats. J. Neurotrauma 2018, 36, 1890–1907. [Google Scholar] [CrossRef] [PubMed]
  40. Chi, H.-T.; Chiu, W.-T.; Yang, D.-Y.; Tsai, S.-H. The epidemiology and utilization of medical resources on mild head injury in taipei city. J. Emerg. Crit. Care Med. 2007, 18, 61–70. [Google Scholar]
  41. Rogers, J.M.; Read, C.A. Psychiatric comorbidity following traumatic brain injury. Brain Inj. 2007, 21, 1321–1333. [Google Scholar] [CrossRef]
  42. Schachar, R.J.; Park, L.S.; Dennis, M. Mental health implications of traumatic brain injury (tbi) in children and youth. J. Can. Acad. Child Adolesc. Psychiatry 2015, 24, 100–108. [Google Scholar]
  43. Seel, R.T.; Kreutzer, J.S.; Rosenthal, M.; Hammond, F.M.; Corrigan, J.D.; Black, K. Depression after traumatic brain injury: A national institute on disability and rehabilitation research model systems multicenter investigation. Arch. Phys. Med. Rehabil. 2003, 84, 177–184. [Google Scholar] [CrossRef] [PubMed]
  44. Razzoli, M.; Domenici, E.; Carboni, L.; Rantamaki, T.; Lindholm, J.; Castren, E.; Arban, R. A role for bdnf/trkb signaling in behavioral and physiological consequences of social defeat stress. Genes Brain Behav. 2011, 10, 424–433. [Google Scholar] [CrossRef]
  45. Ko, M.C.; Hung, Y.H.; Ho, P.Y.; Yang, Y.L.; Lu, K.T. Neonatal glucocorticoid treatment increased depression-like behaviour in adult rats. Int. J. Neuropsychopharmacol. 2014, 17, 1995–2004. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Bodnar, C.N.; Morganti, J.M.; Bachstetter, A.D. Depression following a traumatic brain injury: Uncovering cytokine dysregulation as a pathogenic mechanism. Neural Regen. Res. 2018, 13, 1693–1704. [Google Scholar]
  47. Minichiello, L. Trkb signalling pathways in ltp and learning. Nat. Rev. Neurosci. 2009, 10, 850–860. [Google Scholar] [CrossRef] [PubMed]
  48. Schafe, G.E.; Swank, M.W.; Rodrigues, S.M.; Debiec, J.; Doyère, V. Phosphorylation of erk/map kinase is required for long-term potentiation in anatomically restricted regions of the lateral amygdala in vivo. Learn. Mem. 2008, 15, 55–62. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Phillips, C. Brain-derived neurotrophic factor, depression, and physical activity: Making the neuroplastic connection. Neural. Plast 2017, 2017, 7260130. [Google Scholar] [CrossRef]
  50. Zhou, C.; Zhong, J.; Zou, B.; Fang, L.; Chen, J.; Deng, X.; Zhang, L.; Zhao, X.; Qu, Z.; Lei, Y.; et al. Meta-analyses of comparative efficacy of antidepressant medications on peripheral bdnf concentration in patients with depression. PLoS ONE 2017, 12, e0172270. [Google Scholar] [CrossRef] [Green Version]
  51. Silverberg, N.D.; Panenka, W.J. Antidepressants for depression after concussion and traumatic brain injury are still best practice. BMC Psychiatry 2019, 19, 100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Polyakova, M.; Schroeter, M.L.; Elzinga, B.M.; Holiga, S.; Schoenknecht, P.; de Kloet, E.R.; Molendijk, M.L. Brain-derived neurotrophic factor and antidepressive effect of electroconvulsive therapy: Systematic review and meta-analyses of the preclinical and clinical literature. PLoS ONE 2015, 10, e0141564. [Google Scholar]
  53. Zhang, M.W.; Zhang, S.F.; Li, Z.H.; Han, F. 7,8-dihydroxyflavone reverses the depressive symptoms in mouse chronic mild stress. Neurosci. Lett. 2016, 635, 33–38. [Google Scholar] [CrossRef] [PubMed]
  54. Agrawal, R.; Noble, E.; Tyagi, E.; Zhuang, Y.; Ying, Z.; Gomez-Pinilla, F. Flavonoid derivative 7,8-dhf attenuates tbi pathology via trkb activation. Biochim. Biophys. Acta 2015, 1852, 862–872. [Google Scholar] [CrossRef] [Green Version]
  55. Cho, S.J.; Kang, K.A.; Piao, M.J.; Ryu, Y.S.; Fernando, P.; Zhen, A.X.; Hyun, Y.J.; Ahn, M.J.; Kang, H.K.; Hyun, J.W. 7,8-dihydroxyflavone protects high glucose-damaged neuronal cells against oxidative stress. Biomol. Ther. (Seoul) 2018, 27, 85–91. [Google Scholar] [CrossRef]
  56. Zhang, Z.; Liu, X.; Schroeder, J.P.; Chan, C.B.; Song, M.; Yu, S.P.; Weinshenker, D.; Ye, K. 7,8-dihydroxyflavone prevents synaptic loss and memory deficits in a mouse model of alzheimer’s disease. Neuropsychopharmacology 2014, 39, 638–650. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Girgis, F.; Pace, J.; Sweet, J.; Miller, J.P. Hippocampal neurophysiologic changes after mild traumatic brain injury and potential neuromodulation treatment approaches. Front. Syst. Neurosci. 2016, 10, 8. [Google Scholar] [CrossRef]
  58. Gulyaeva, N.V. Functional neurochemistry of the ventral and dorsal hippocampus: Stress, depression, dementia and remote hippocampal damage. Neurochem. Res. 2019, 44, 1306–1322. [Google Scholar] [CrossRef] [PubMed]
  59. Marmarou, A.; Foda, M.A.; van den Brink, W.; Campbell, J.; Kita, H.; Demetriadou, K. A new model of diffuse brain injury in rats. Part i: Pathophysiology and biomechanics. J. Neurosurg. 1994, 80, 291–300. [Google Scholar] [CrossRef] [Green Version]
  60. Hehar, H.; Yeates, K.; Kolb, B.; Esser, M.J.; Mychasiuk, R. Impulsivity and concussion in juvenile rats: Examining molecular and structural aspects of the frontostriatal pathway. PLoS ONE 2015, 10, e0139842. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Baskaya, M.K.; Dogan, A.; Temiz, C.; Dempsey, R.J. Application of 2,3,5-triphenyltetrazolium chloride staining to evaluate injury volume after controlled cortical impact brain injury: Role of brain edema in evolution of injury volume. J. Neurotrauma 2000, 17, 93–99. [Google Scholar] [CrossRef] [PubMed]
  62. Tang, W.-C.; Hsu, Y.-C.; Wang, C.-C.; Hu, C.-Y.; Chio, C.-C.; Kuo, J.-R. Early electroacupuncture treatment ameliorates neuroinflammation in rats with traumatic brain injury. BMC Complementary Altern. Med. 2016, 16, 1–12. [Google Scholar] [CrossRef] [Green Version]
  63. Lin, B.S.; Wang, C.C.; Chang, M.H.; Chio, C.C. Evaluation of traumatic brain injury by optical technique. BMC Neurol. 2015, 15, 202. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Keep, R.F.; Hua, Y.; Xi, G. Brain water content. A misunderstood measurement? Transl. Stroke Res. 2012, 3, 263–265. [Google Scholar] [CrossRef] [Green Version]
  65. Yankelevitch-Yahav, R.; Franko, M.; Huly, A.; Doron, R. The forced swim test as a model of depressive-like behavior. J. Vis. Exp. 2015, 97, 52587. [Google Scholar] [CrossRef] [PubMed]
  66. Kuo, J.R.; Cheng, Y.H.; Chen, Y.S.; Chio, C.C.; Gean, P.W. Involvement of extracellular signal regulated kinases in traumatic brain injury-induced depression in rodents. J. Neurotrauma 2013, 30, 1223–1231. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Jones, N.C.; Cardamone, L.; Williams, J.P.; Salzberg, M.R.; Myers, D.; O’Brien, T.J. Experimental traumatic brain injury induces a pervasive hyperanxious phenotype in rats. J. Neurotrauma 2008, 25, 1367–1374. [Google Scholar] [CrossRef]
  68. Zhao, S.; Gao, X.; Dong, W.; Chen, J. The role of 7, 8-dihydroxyflavone in preventing dendrite degeneration in cortex after moderate traumatic brain injury. Mol. Neurobiol. 2016, 53, 1884–1895. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Wu, C.-H.; Hung, T.-H.; Chen, C.-C.; Ke, C.-H.; Lee, C.-Y.; Wang, P.-Y.; Chen, S.-F. Post-injury treatment with 7, 8-dihydroxyflavone, a trkb receptor agonist, protects against experimental traumatic brain injury via pi3k/akt signaling. PLoS ONE 2014, 9, e113397. [Google Scholar] [CrossRef] [PubMed]
  70. Chen, L.; Gao, X.; Zhao, S.; Hu, W.; Chen, J. The small-molecule trkb agonist 7, 8-dihydroxyflavone decreases hippocampal newborn neuron death after traumatic brain injury. J. Neuropathol. Exp. Neurol. 2015, 74, 557–567. [Google Scholar] [CrossRef] [PubMed]
  71. Chiu, W.T.; Kuo, C.Y.; Hung, C.C.; Chen, M. The effect of the taiwan motorcycle helmet use law on head injuries. Am. J. Public Health 2000, 90, 793–796. [Google Scholar] [PubMed] [Green Version]
  72. Zhang, J.; Pu, H.; Zhang, H.; Wei, Z.; Jiang, X.; Xu, M.; Zhang, L.; Zhang, W.; Liu, J.; Meng, H.; et al. Inhibition of na(+)-k(+)-2cl(-) cotransporter attenuates blood-brain-barrier disruption in a mouse model of traumatic brain injury. Neurochem. Int. 2017, 111, 23–31. [Google Scholar] [CrossRef]
  73. Lundberg, J.O.; Gladwin, M.T.; Ahluwalia, A.; Benjamin, N.; Bryan, N.S.; Butler, A.; Cabrales, P.; Fago, A.; Feelisch, M.; Ford, P.C. Nitrate and nitrite in biology, nutrition and therapeutics. Nat. Chem. Biol. 2009, 5, 865–869. [Google Scholar] [CrossRef]
  74. Sorokina, E.; Reutov, V.; Senilova, Y.E.; Khodorov, B.; Pinelis, V. Changes in atp content in cerebellar granule cells during hyperstimulation of glutamate receptors: Possible role of no and nitrite ions. Bull. Exp. Biol. Med. 2007, 143, 442–445. [Google Scholar] [CrossRef]
  75. Khodorov, B.; Storozhevykh, T.; Surin, A.; Yuryavichyus, A.; Sorokina, E.; Borodin, A.; Vinskaya, N.; Khaspekov, L.; Pinelis, V. The leading role of mitochondrial depolarization in the mechanism of glutamate-induced disruptions in Ca2+ homeostasis. Neurosci. Behav. Physiol. 2002, 32, 541–547. [Google Scholar] [CrossRef] [PubMed]
  76. Reutov, V.; Sorokina, E.; Sukmansky, O. Cycles of nitric oxide (no), superoxide radical anion (• O2−) and hydrogen sulfur/sulfur dioxide (H2S/SO2) in mammals. Curr. Res. Biopolym. 2020, 2, 112. [Google Scholar]
  77. Samosudova, N.; Reutov, V. Ultrastructural changes in the frog brain in the presence of high concentrations of glutamate and an no-generating compound. Biophysics 2018, 63, 402–415. [Google Scholar] [CrossRef]
  78. Reutov, V.; Samosudova, N.; Sorokina, E. A model of glutamate neurotoxicity and mechanisms of the development of the typical pathological process. Biophysics 2019, 64, 233–250. [Google Scholar] [CrossRef]
  79. Sorokina, E.; Semenova, Z.B.; Averianova, N.; Karaseva, O.; Arsenieva, E.; Luk’yanov, V.; Reutov, V.; Asanov, A.Y.; Roshal, L.; Pinelis, V. Polymorphism of the apoe gene and markers of brain damage in the outcomes of severe traumatic brain injury in children. Neurosci. Behav. Physiol. 2021, 51, 28–35. [Google Scholar] [CrossRef]
  80. Reutov, V.P.S.E.G.; Samosudova, N.V.; Okhotin, V.E. Pathogenesis of neurological and mental disorders in patients with covid-19: Possible role of reactive nitrogen and oxygen species. Int. J. Psychiatry 2021, 6, 33–42. [Google Scholar]
  81. Sorokina, E.G.; Semenova, Z.B.; Reutov, V.P.; Arsenieva, E.N.; Karaseva, O.V.; Fisenko, A.P.; Roshal, L.M.; Pinelis, V.G. Brain biomarkers in children after mild and severe traumatic brain injury. Acta Neurochir. Suppl. 2021, 131, 103–107. [Google Scholar]
  82. Mete, A.Ö.; Koçak, K.; Saracaloglu, A.; Demiryürek, S.; Altınbaş, Ö.; Demiryürek, A.T. Effects of antiviral drug therapy on dynamic thiol/disulphide homeostasis and nitric oxide levels in covid-19 patients. Eur. J. Pharmacol. 2021, 907, 174306. [Google Scholar] [CrossRef] [PubMed]
  83. Silver, J.M.; McAllister, T.W.; Arciniegas, D.B. Textbook of Traumatic Brain Injury; American Psychiatric Pub: Washington, DC, USA, 2019. [Google Scholar]
  84. Cherian, L.; Hlatky, R.; Robertson, C.S. Nitric oxide in traumatic brain injury. Brain Pathol. 2004, 14, 195–201. [Google Scholar] [CrossRef]
  85. Lipton, S.A.; Choi, Y.B.; Pan, Z.H.; Lei, S.Z.; Chen, H.S.; Sucher, N.J.; Loscalzo, J.; Singel, D.J.; Stamler, J.S. A redox-based mechanism for the neuroprotective and neurodestructive effects of nitric oxide and related nitroso-compounds. Nature 1993, 364, 626–632. [Google Scholar] [CrossRef]
  86. Lee, A.R.; Kim, J.H.; Cho, E.; Kim, M.; Park, M. Dorsal and ventral hippocampus differentiate in functional pathways and differentially associate with neurological disease-related genes during postnatal development. Front. Mol. Neurosci. 2017, 10, 331. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Gulyaeva, O.A.; Bakirov, A.B.; Chemikosova, T.S.; Averianov, S.V.; Arsenina, O.I.; Karimova, L.K. Dependence of dental status from the level of endogenous intoxication in chemical industry workers based on the oral fluid composition study. Stomatologiia (Mosk) 2019, 98, 18–21. [Google Scholar] [CrossRef] [PubMed]
  88. Zhang, J.C.; Yao, W.; Hashimoto, K. Brain-derived neurotrophic factor (bdnf)-trkb signaling in inflammation-related depression and potential therapeutic targets. Curr. Neuropharmacol. 2016, 14, 721–731. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Charney, D.S.; Manji, H.K. Life stress, genes, and depression: Multiple pathways lead to increased risk and new opportunities for intervention. Sci. STKE 2004, 2004, re5. [Google Scholar] [CrossRef] [Green Version]
  90. McEwen, B.S. Protective and damaging effects of stress mediators: Central role of the brain. Dialogues Clin. Neurosci. 2006, 8, 367–381. [Google Scholar]
  91. Miao, Z.; Wang, Y.; Sun, Z. The relationships between stress, mental disorders, and epigenetic regulation of bdnf. Int. J. Mol. Sci. 2020, 21, 1375. [Google Scholar] [CrossRef] [Green Version]
  92. Sagarkar, S.; Bhamburkar, T.; Shelkar, G.; Choudhary, A.; Kokare, D.M.; Sakharkar, A.J. Minimal traumatic brain injury causes persistent changes in DNA methylation at bdnf gene promoters in rat amygdala: A possible role in anxiety-like behaviors. Neurobiol. Dis. 2017, 106, 101–109. [Google Scholar] [CrossRef]
  93. Todkar, A.; Granholm, L.; Aljumah, M.; Nilsson, K.W.; Comasco, E.; Nylander, I. Hpa axis gene expression and DNA methylation profiles in rats exposed to early life stress, adult voluntary ethanol drinking and single housing. Front. Mol. Neurosci. 2015, 8, 90. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Keller, J.; Gomez, R.; Williams, G.; Lembke, A.; Lazzeroni, L.; Murphy, G.M., Jr.; Schatzberg, A.F. Hpa axis in major depression: Cortisol, clinical symptomatology and genetic variation predict cognition. Mol. Psychiatry 2017, 22, 527–536. [Google Scholar] [CrossRef]
  95. Dong, C.; Wong, M.L.; Licinio, J. Sequence variations of abcb1, slc6a2, slc6a3, slc6a4, creb1, crhr1 and ntrk2: Association with major depression and antidepressant response in mexican-americans. Mol. Psychiatry 2009, 14, 1105–1118. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. Yohn, C.N.; Gergues, M.M.; Samuels, B.A. The role of 5-ht receptors in depression. Mol. Brain 2017, 10, 28. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Timeline for the experimental procedure. (A) General experimental procedure for evaluating the depression-like behavior in mTBI treated animals. (B) The experimental procedure for evaluating the brain damage in mTBI and severe-TBI treated animals.
Figure 1. Timeline for the experimental procedure. (A) General experimental procedure for evaluating the depression-like behavior in mTBI treated animals. (B) The experimental procedure for evaluating the brain damage in mTBI and severe-TBI treated animals.
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Figure 2. Evaluation of the mTBI-J induced cerebral damage and brain edema. (A) Animals are divided into sham, juvenile mild traumatic brain injury treated (mTBI-J), and severe traumatic brain injury. The percent of the total white area was a significant increase in the severe-TBI group, and no significant difference was between mTBI-J and sham control groups. (B) The significant difference in the edema between sham and after mild traumatic brain injury 24 h. (C) Results of the H&E stain did not reveal significant neural damage in the cerebral cortex and hippocampus. Values are shown as mean ± SEM, ** = p < 0.01 compared with the sham control group.
Figure 2. Evaluation of the mTBI-J induced cerebral damage and brain edema. (A) Animals are divided into sham, juvenile mild traumatic brain injury treated (mTBI-J), and severe traumatic brain injury. The percent of the total white area was a significant increase in the severe-TBI group, and no significant difference was between mTBI-J and sham control groups. (B) The significant difference in the edema between sham and after mild traumatic brain injury 24 h. (C) Results of the H&E stain did not reveal significant neural damage in the cerebral cortex and hippocampus. Values are shown as mean ± SEM, ** = p < 0.01 compared with the sham control group.
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Figure 3. Examine the depression-like behavior in the mTBI-J rats. (A) The preference ratio of the mTBI-J group in the sucrose preference test was decreased compared with the sham group (two-way ANOVA, p = 0.0079). (B) The average preference ratio was summarized, and a significant difference was found among the mTBI-J and sham control groups. (C) The immobility percentage in the forced swimming test was significantly increased in the mTBI-J animals. Data was presented as a mean ± SEM (* = p < 0.05, ** = p < 0.01).
Figure 3. Examine the depression-like behavior in the mTBI-J rats. (A) The preference ratio of the mTBI-J group in the sucrose preference test was decreased compared with the sham group (two-way ANOVA, p = 0.0079). (B) The average preference ratio was summarized, and a significant difference was found among the mTBI-J and sham control groups. (C) The immobility percentage in the forced swimming test was significantly increased in the mTBI-J animals. Data was presented as a mean ± SEM (* = p < 0.05, ** = p < 0.01).
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Figure 4. The hippocampal expression of BDNF and TrkB of the mTBI-J treated animals. (A) No significant difference was found between the BDNF and TrkB in the dorsal hippocampus of mTBI-J group and sham group (B) The expression of BDNF but not TrkB was decreased in the ventral hippocampus of the mTBI-J treated animals. Values are shown as mean ± SEM, ** = p < 0.01 compared with the sham control group.
Figure 4. The hippocampal expression of BDNF and TrkB of the mTBI-J treated animals. (A) No significant difference was found between the BDNF and TrkB in the dorsal hippocampus of mTBI-J group and sham group (B) The expression of BDNF but not TrkB was decreased in the ventral hippocampus of the mTBI-J treated animals. Values are shown as mean ± SEM, ** = p < 0.01 compared with the sham control group.
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Figure 5. Chronic systemic administration of 7,8-DHF lessens the depression-like behavior of mTBI-treated animals. (A) The preference ratio of the mTBI-J+vehicle group in the sucrose preference test was decreased compared with the sham group (two-way ANOVA, p = 0.0016), and the 7,8-DHF treatment was restored the sucrose preference ratio compared with the corresponding mTBI-J+vehicle group animals (two-way ANOVA, p = 0.0011). (B) The average preference ratio was summarized. (C) The body weight did not differ between both groups. (D) The immobility in the forced swimming test was significantly increased in the mTBI-J+vehicle group animals, but the 7,8-DHF treatment has reduced the immobility. (E) There was no difference in the locomotor motor distance in both groups (unpaired t-test, p = 0.4386, N = 10 per sham and mTBI-J+7,8-DHF group groups). Data was showed as mean ± SEM (NS: no significance, * = p < 0.05, ** = p < 0.01).
Figure 5. Chronic systemic administration of 7,8-DHF lessens the depression-like behavior of mTBI-treated animals. (A) The preference ratio of the mTBI-J+vehicle group in the sucrose preference test was decreased compared with the sham group (two-way ANOVA, p = 0.0016), and the 7,8-DHF treatment was restored the sucrose preference ratio compared with the corresponding mTBI-J+vehicle group animals (two-way ANOVA, p = 0.0011). (B) The average preference ratio was summarized. (C) The body weight did not differ between both groups. (D) The immobility in the forced swimming test was significantly increased in the mTBI-J+vehicle group animals, but the 7,8-DHF treatment has reduced the immobility. (E) There was no difference in the locomotor motor distance in both groups (unpaired t-test, p = 0.4386, N = 10 per sham and mTBI-J+7,8-DHF group groups). Data was showed as mean ± SEM (NS: no significance, * = p < 0.05, ** = p < 0.01).
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Yang, S.-T.; Hung, H.-Y.; Ro, L.-S.; Liao, M.-F.; Amstislavskaya, T.G.; Tikhonova, M.A.; Yang, Y.-L.; Lu, K.-T. Chronic Administration of 7,8-DHF Lessens the Depression-like Behavior of Juvenile Mild Traumatic Brain Injury Treated Rats at Their Adult Age. Pharmaceutics 2021, 13, 2169. https://doi.org/10.3390/pharmaceutics13122169

AMA Style

Yang S-T, Hung H-Y, Ro L-S, Liao M-F, Amstislavskaya TG, Tikhonova MA, Yang Y-L, Lu K-T. Chronic Administration of 7,8-DHF Lessens the Depression-like Behavior of Juvenile Mild Traumatic Brain Injury Treated Rats at Their Adult Age. Pharmaceutics. 2021; 13(12):2169. https://doi.org/10.3390/pharmaceutics13122169

Chicago/Turabian Style

Yang, Shih-Te, Hsiu-Yi Hung, Long-Sun Ro, Ming-Feng Liao, Tamara G. Amstislavskaya, Maria A. Tikhonova, Yi-Ling Yang, and Kwok-Tung Lu. 2021. "Chronic Administration of 7,8-DHF Lessens the Depression-like Behavior of Juvenile Mild Traumatic Brain Injury Treated Rats at Their Adult Age" Pharmaceutics 13, no. 12: 2169. https://doi.org/10.3390/pharmaceutics13122169

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