Skip to main content
Journal of Neurotrauma logoLink to Journal of Neurotrauma
. 2015 Sep 1;32(17):1347–1360. doi: 10.1089/neu.2014.3739

Voluntary Exercise Preconditioning Activates Multiple Antiapoptotic Mechanisms and Improves Neurological Recovery after Experimental Traumatic Brain Injury

Zaorui Zhao 1,*, Boris Sabirzhanov 1,*, Junfang Wu 1, Alan I Faden 1, Bogdan A Stoica 1,
PMCID: PMC4545567  PMID: 25419789

Abstract

Physical activity can attenuate neuronal loss, reduce neuroinflammation, and facilitate recovery after brain injury. However, little is known about the mechanisms of exercise-induced neuroprotection after traumatic brain injury (TBI) or its modulation of post-traumatic neuronal cell death. Voluntary exercise, using a running wheel, was conducted for 4 weeks immediately preceding (preconditioning) moderate-level controlled cortical impact (CCI), a well-established experimental TBI model in mice. Compared to nonexercised controls, exercise preconditioning (pre-exercise) improved recovery of sensorimotor performance in the beam walk task, as well as cognitive/affective functions in the Morris water maze, novel object recognition, and tail-suspension tests. Further, pre-exercise reduced lesion size, attenuated neuronal loss in the hippocampus, cortex, and thalamus, and decreased microglial activation in the cortex. In addition, exercise preconditioning activated the brain-derived neurotrophic factor pathway before trauma and amplified the injury-dependent increase in heat shock protein 70 expression, thus attenuating key apoptotic pathways. The latter include reduction in CCI-induced up-regulation of proapoptotic B-cell lymphoma 2 (Bcl-2)-homology 3–only Bcl-2 family molecules (Bid, Puma), decreased mitochondria permeabilization with attenuated release of cytochrome c and apoptosis-inducing factor (AIF), reduced AIF translocation to the nucleus, and attenuated caspase activation. Given these neuroprotective actions, voluntary physical exercise may serve to limit the consequences of TBI.

Key words: : controlled cortical impact, exercise, neuroprotection, traumatic brain injury

Introduction

Traumatic brain injury (TBI) represents a significant public health problem, with more than 1.7 million new cases annually in the United States alone1 and accounting for 60% of all trauma deaths.2 TBI causes cell death and neurological dysfunction through both direct physical disruptions of tissue or pathways (primary injury), as well as through delayed biochemical changes induced by trauma (secondary injury).3,4 Secondary injury mechanisms involve a complex cascade of biochemical changes over time, leading to neuronal cell death and associated neurological deficits.5,6

Human as well as animal studies have suggested that physical activity protects the brain from multiple types of insults by promoting restorative processes, neuroplasticity, and neuronal survival.7 Physical exercise has been shown to reduce the risks for developing Alzheimer's disease, improve motor function in animal models of Parkinson's disease, and offer neuroprotection in animal models of stroke.7 Exercise also ameliorates neurological dysfunction post-TBI through mechanisms that may include inhibition of apoptosis, attenuation of neuroinflammation and oxidative stress (OS), and improved neurorestoration.8,9

Exercise can induce various growth factors with neuroprotective potential, which may explain, at least in part, the neuroprotection afforded by physical activity.10 However, not all experimental studies have confirmed the neuroprotective effects of exercise post-TBI. Use of forced exercise and/or acute exercise initiation in the first few days post-TBI may lead to suboptimal induction of neuroplasticity/neuroprotective pathways, such as brain-derived neurotrophic factor (BDNF), and, consequently, poor functional or neuropathological outcomes.10,11 Moreover, the exercise-induced increase in metabolic demands when the brain is energetically compromised may negatively impact neurological recovery.12

Our previous studies focused on chronic TBI outcomes have used a well-established experimental TBI model, controlled cortical impact (CCI), that leads to chronic cognitive deficits in rodents.13 We have shown that delayed voluntary exercise initiated as late as 5 weeks after TBI, in contrast to acute intervention (1 week post-trauma), results in brain-derived neurotrophic factor (BDNF) and cyclic adenosine monophosphate response element-binding protein (CREB) up-regulation, reduces lesion volume and hippocampal neuronal loss, and improves cognitive function.9 Although effective, late intervention paradigms do not allow examination of the effects of exercise on neuronal cell death pathways activated early post-TBI and responsible for a considerable proportion of posttraumatic neuronal loss.14

In the present study, we evaluated the effects of voluntary exercise preconditioning (pre-exercise; exercise performed before TBI) on key molecular mechanisms of neuronal cell death induced in the first days post-TBI. We also used a battery of cognitive/affective and sensorimotor outcomes and performed quantitative stereology-based assessment of neuronal loss to characterize exercise-dependent neuroprotection post-TBI.

Methods

Animals

The described experiments were performed in accord with the Animal Welfare Act, Public Health Service Policy on Humane Care and Use of Laboratory Animals, the Guide for the Care and Use of Laboratory Animals, and all other applicable regulations, policies, and procedures and were approved by the University of Maryland School of Medicine Institutional Animal Care and Use Committee (Baltimore, MD). Ten-week-old male C57BL/6NTac mice (20–25 g) were obtained from Taconic Farms Inc. (Hudson, NY) and were handled as previously described.15

Voluntary motor exercise

Animals were randomly assigned to exercise group (n=23) on running wheel (Nalgene, Bend, OR) or sedative control (n=28) in home cages for 4 weeks. Habituation was conducted for 3 days on running wheel before starting the exercise. Total revolutions during 4 weeks were recorded by the VitaView Data Acquisition System (Mini Mitter, Bend, OR) and converted to meters run based on the diameter of the running wheel. Mice were weighed before and after pre-exercise; mice without exercise were divided into Sham/No-Ex (n=11) and controlled cortical impact (CCI)/No-Ex (n=17) groups. Mice subjected to 4-week pre-exercise were randomly divided into Sham/Ex (n=8) or CCI/Ex (n=15) groups to ensure similar mean revolutions per day for each group. Animal weight was measured before exercise and weekly during the 4-week exercise period.

Controlled cortical impact injury

Twenty-four hours after completion of 4-week exercise, CCI was performed as previously described.15 Surgical anesthesia was induced and maintained with 3% and 2% isoflurane evaporated in a gas mixture containing 70% N2O and 30% O2 and administered through a nose mask. The injury device consists of a microprocessor-controlled pneumatic impactor, driven by compressed air, with a 3.5-mm diameter tip. A 10-mm midline incision was made over the skull, the skin and fascia were reflected, and a 4-mm craniotomy was made on the central aspect of the left parietal bone between the bregma and lambda. Moderate-level brain injury was induced by an impact velocity of 6 m/sec and a deformation depth of 2 mm, as previously described.15 Mortality was under 10%; no other complications were noted. After injury, the incision was closed using surgical staples, anesthesia was terminated, and the animal was placed onto a heated pad to maintain normal core temperature for 30–60 min postinjury. All animals were monitored carefully for at least 4 h after surgery and then daily. Sham animals underwent the same procedure, including craniotomy, as injured mice except for the impact. Our previous studies in both traumatic spinal cord and brain injuries have shown that sham animals demonstrate molecular changes, compared to naïve animals, but the magnitude and duration of these changes was smaller and shorter than in injured animals.16–18 Thus, sham injury represents an important control for anesthesia and surgical stress.

Motor function evaluation

Chronic motor function was evaluated using a beam walking task, a method that is particularly good at discriminating fine motor coordination differences. The mouse was placed on the beam and the number of foot-faults for the right hindlimb recorded over 50 steps. A basal level of performance was achieved after 3 days training preceding surgery with an acceptance level of less than 10 foot-faults per 50 steps. The test was performed at 0 (immediately before CCI), 1, 3, 7, 14, and 28 days postinjury.

Morris water maze and reversal Morris water maze tests

Spatial learning and memory was assessed using the acquisition phase of the standard Morris water maze (MWM), as previously described.15 A circular tank (100 cm in diameter) was filled with water (23±2°C) that was made opaque with white Crayola nontoxic paint. The maze was surrounded by various extramaze cues on the wall of the room. A transparent platform (10 cm in diameter) was submerged 0.5 cm below the surface of the opaque water. The MWM protocol included standard hidden platform training (acquisition; postinjury day [PID] 14 to PID 17) and standard probe test (PID 18). The swim path, latency to platform, time spent in each zone, and velocity were recorded by a computer-based Any-Maze automated video tracking system (Stoelting Co, Wood Dale, IL). Reference memory was assessed by a probe test on PID 18. The search strategies were analyzed on each of the four trials on day 4 of MWM.15

Tail-suspension test

The tail-suspension (TS) test assesses depression-like behavior in mice and is based on the observation that mice develop an immobile posture when placed in an inescapable hemodynamic stress of being hung by their tail.19,20 The TS was performed on PID 21, as described previously,21 with small modifications. Each mouse was suspended at a height of 50 cm using adhesive tape placed approximately 1 cm from the tip of its tail. Duration of immobility was recorded throughout the 5-min test period. The definition of immobility was passive hanging and complete motionlessness.

Open field test

The open field test was used to measure locomotor activity21 on PID 21. Mice were individually placed in a corner facing the wall of the open-field chamber (22.5×22.5 cm) and allowed to freely explore the chamber for 5 min. Distance travelled was recorded by Any-Maze software.

Novel object recognition test

Novel object recognition (NOR), conducted as previously reported,22,23 evaluated nonspatial hippocampal-mediated memory24 on PID 22 and 23. The apparatus consists of an open field (22.5×22.5 cm) with two adjacently located imaginary circular zones. Briefly, mice were habituated to the open field and were allowed to freely explore the area for 5 min (no data were collected). After 24 h, mice were placed into the chamber where two identical objects were placed near the left and right corners of the open field for training (sample phase) and allowed to freely explore until they spent a total of 20 sec exploring the objects (exploration recorded when the front paws or nose contacted the object). Mice were then removed and returned to their home cage. After 24 h, object recognition was tested by substituting a novel object for a familiar training object (novel object location counterbalanced across mice). Time spent with each object was recorded; because mice inherently prefer to explore novel objects, a preference for the novel object (more time than chance [10 sec] spent with the novel object) indicates intact memory for the familiar object.

Histology

A randomly selected set of animals from the groups that underwent behavior testing were euthanized and transcardially perfused with saline and 10% buffered formalin phosphate solution (containing 4% paraformaldehyde; Fisher Scientific, Pittsburg, PA) on PID 28 to be used for all histological analysis, including lesion volume and stereology. Frozen brain sections (60-um) were cut and mounted onto glass slides. Microglia were immunostatined with anti-Iba-1 (1:1000; Wako Chemicals, Dallas, TX) overnight and incubated with biotinylated anti-rabbit immunoglobulin G antibody (Vector Laboratories, Burlingame, CA) for 2 h at room temperature. Sections were placed in avidin-biotin-horseradish peroxidase solution for 1 h (Vectastain Elite ABC kit; Vector Laboratories) and then reacted with 3,3′-diaminobenzidine (Vector Laboratories) for color development.

Lesion volume assessment

Lesion volume was determined based on Cavalieri's method after staining with cresyl violet, as previously described.14 The lesion area was outlined using the Stereologer 2000 program (Systems Planning and Analysis, Alexandria, VA) to obtain the final volume measurements.

Assessment of neuronal cell loss in the hippocampal subregions, cortex, and thalamus

Stereoinvestigator software (MBF Biosciences, Williston, VT) was used to count the total number of surviving neurons in the cortex, thalamus, as well as cornu ammonis (CA) 1, CA2/3, and dentate gyrus (DG) subregions of the hippocampus using the optical fractionator method of unbiased stereology, as previously described.25

Assessment of microglial morphology in the cortex

Stereoinvestigator software (MBF Biosciences) was used to count the number of cortical microglia in each of the three microglial morphological phenotypes (namely, ramified, hypertrophic, and bushy) using the optical fractionator method of unbiased stereology, as previously described.26

RNA isolation

Twenty-four hours after injury, animals were euthanized and a 5-mm area surrounding the lesion epicenter on the ipsilateral cortex was rapidly dissected and immediately frozen on dry ice. This cohort of animals was separate from those used for behavior and histology euthanized at PID 28 and from those for Western blotting/subcellular fractionation also euthanized at 24 h post-TBI. Total RNA was isolated using the miRNeasy Kit (Qiagen, Valencia, CA). During the process of isolation, samples were treated with RNase-free DNase (Qiagen) to digest DNA contamination of samples, according to the manufacturer's protocol.

Real-time polymerase chain reaction

The Verso™ complementary DNA (cDNA) Kit (Thermo Fisher Scientific, Peabody, MA) was used to synthesize cDNA from purified total RNA. RNA (1 μg) was heated to 70°C for 5 min and mixed with 5×cDNA-synthesis buffer, dNTP mix (0.5-nM final concentration), and Verso Enzyme Mix, and, finally, random hexamers (400 ng/μL) were added. Tubes were incubated at 42°C for 30 min, followed by 95°C for 2 min. Quantitative real-time polymerase chain reaction (PCR) amplification was performed by using cDNA TaqMan® Universal Master Mix II (Applied Biosystems, Foster City, CA). In brief, reactions were performed in duplicate containing 2×TaqMan Universal Master Mix II, 1 μL of cDNA (corresponding to 50-ng RNA/reaction), and TaqMan Gene Expression Assay (Applied Biosystems), 20×in a final volume of 20 μL. TaqMan Gene Expression assays for the following mouse genes were performed: glyceraldehyde 3-phosphate dehydrogenase (GAPDH; Mm99999915_g1); PUMA (Mm00519268_m1); Bid (Mm00432073_m1); heat shock protein (HSP)a1a (Mm01159846_s1); HSPa1b (Mm03038954_s1); BDNF (Mm01334042_m1); and CREB (Mm00501607_m1; Applied Biosystems). Reactions were amplified and quantified using a 7900HT Fast Real-Time PCR System and the corresponding software (Applied Biosystems). The PCR profile consisted of one cycle at 50°C for 2 min and 95°C for 10 min, followed by 40 cycles at 95°C for 15 sec and 60°C for 1 min. All reactions were performed twice. Efficiency of reactions for each set gene expression was close to 100%. Efficiency of reactions was measured using the threshold cycle (Ct) slope method. Briefly, serial dilutions of samples were generated and real-time reverse-transcriptase PCR reactions were performed on each dilution. Ct values were then plotted versus the log of the dilution and a linear regression was performed: Efficiency=(10−1/slope−1)×100%.27 Samples were confirmed to be free of DNA contamination by performing reactions without reverse transcriptase. Gene expression was normalized to GAPDH, and the relative quantity of messenger RNAs (mRNAs) was calculated based on the comparative Ct method.28

Western blotting

Twenty-four hours postinjury, a separate cohort of animals, including Sham/No-Ex (n=4), Sham/Ex (n=4), CCI/No-Ex (n=6), and CCI/Ex (n=6) mice, were euthanized and a 5-mm area surrounding the lesion epicenter on the ipsilateral cortex was rapidly dissected and immediately frozen on dry ice. The cortical tissue extracted 24 h after TBI was divided for homogenization in radioimmunoprecipitation assay (RIPA) buffer or for subcellular fractionation. The RIPA lysate was analyzed by sodium dodecyl sulfate/polyacrylamide gel electrophoresis (SDS-PAGE) and transferred onto nitrocellulose membrane. Immunoblots were probed with anti-α-Spectrin (1:3000; Enzo Life Science, Ann Arbor, MI), anti-Bid (1:1000; R&D Systems, Minneapolis, MN), anti-PUMA (1:1000; ProSci Incorporated, Poway, CA), and anti-HSP70 (1:1000; Santa Cruz Biotechnology, Santa Cruz, CA), and anti-apoptosis-inducing factor (AIF)-1 (1:1000; Santa Cruz Biotechnology), cytochrome c (1:1000; Santa Cruz Biotechnology), β-actin (1:20,000; Sigma-Aldrich, St. Louis, MO), and Histone H2A.X (1:20,000; Abcam, Cambridge, UK) were used as an endogenous control. Chemiluminescence was captured on a Kodak Image station 4000R station (Carestream Health, Rochester, NY), and protein bands were quantified by densitometric analysis using Carestream Molecular Imaging Software (Carestream Health). The data presented reflect the intensity of the target protein normalized to protein levels of the endogenous control in each sample (expressed in arbitrary units).

Subcellular fractionation

Subcellular fractionation was performed as previously described,29 with some modifications. 5-mm area surrounding the lesion epicenter on the ipsilateral cortex was rapidly dissected and homogenized in ice cold digitonin lysis buffer (20 mM of HEPES [pH 7.4], 80 mM of KCl, 1 mM of ethylenedimainetetraacetic acid, 1 mM of ethyleneglycol tetraacetic acid, 1 mM of dithiothreitol, 250 mM of sucrose, 200 μg/mL of digitonin, and protease inhibitor and phosphatase inhibitor [2, 3] cocktails [P8340; P5726; Sigma-Aldrich]) and incubated for 10 min on ice. The lysate was centrifuged at 1000g for 5 min at 4°C to pellet the nuclei. The supernatant was transferred to a new tube and centrifuged again at 12,000g for 10 min at 4°C to pellet the mitochondria. The resulting supernatant, representing the cytosolic fraction, was recovered. Nuclear and mitochondrial lysates were prepared in RIPA buffer (Teknova, Hollister, CA) with protease and phosphatase inhibitor cocktails.

Statistical analysis

For the beam walk, acquisition trials of the MWM test repeated-measures one-way analyses of variance (ANOVA) was conducted, followed by Student-Newman-Keuls' post-hoc test to compare the differences between each group. One-way ANOVA analysis, followed by Student-Newman-Keuls' post-hoc test, was performed for the other behavioral tests and neuronal cell counts, microglia activation, real-time PCR, and Western blot. A two-tailed paired Student's t-test was used for lesion volume. For the search strategy analysis, chi-square analysis was performed. Statistical analysis was performed using GraphPad Prism software (version 4.00 for Windows; GraphPad Software, Inc., San Diego, CA) or the SigmaPlot Program (Version 12; Systat Software, San Jose, CA). Data are expressed as mean±standard error of the mean (SEM), and significance was determined at p<0.05.

Results

Exercise wheel running revolutions and mice weight

Average wheel running revolutions were 5970±1007 for the Sham/Ex group and 6322±482.7 for the CCI/Ex group. Revolutions/day was also converted to meter/day; 4523±763.3 for the Sham/Ex group and 4790±365.8 for the CCI/Ex group. Average weight of the nonexercise group was 23.88±0.16 at the start and 27.28±0.28 after 4 weeks; average weight of the exercise group was 23.43±0.14 at the start and 24.70±0.31 after 4 weeks of exercise.

Pre-exercise improved cognitive function after traumatic brain injury

To investigate the effect of pre-exercise on spatial learning and memory after moderate-level CCI, we performed the MWM test from PID 14 to PID 18. Mean escape latency on the last day of training was 55.52±4.63 sec for the Sham/No-Ex group, 50.23±5.08 for the Sham/Ex group, 76.37±3.31 for the CCI/No-Ex group, and 66.19±5.33 for the CCI/Ex group (Fig. 1A). Repeated-measures one-way ANOVA showed a significant effect of treatment (F(3,184)=20.33; p<0.0001) and day (F(3,184)=9.76; p<0.0001). Student-Newman-Keuls' post-hoc analysis revealed an improvement after pre-exercise with a significant difference between the CCI/No-Ex and CCI/Ex groups on day 4 (p<0.05) and Sham/No-Ex and CCI/No-Ex groups on days 2 (p<0.01), 3 (p<0.05), and 4 (p<0.001). Swimming speed was measured to rule out the confound of injury-induced impairment on locomotor activity. Repeated-measures one-way ANOVA showed a significant effect of treatment (F(3,184)=58.50; p<0.0001), but no significant effect of treatment (F(3,184)=2.31; p>0.05) was detected. Student-Newman-Keuls' post-hoc analysis revealed no significant change of speed among these groups for each day (Fig. 1B). Probe tests were performed on PID 18, and reduced time spent in the target quadrant indicated impaired reference memory. The time spent in the target quadrant showed a significant effect of pre-exercise (Fig. 1C; F(3,49)=5.08; p<0.01) by one-way ANOVA, and Student-Newman-Keuls' post-hoc analysis revealed that the CCI/Ex group spent significantly more time in the target quadrant than the CCI/No-Ex group (p<0.05). Significant differences were also observed between the Sham/No-Ex and CCI/No-Ex groups (p<0.01). We then performed search strategy analysis to evaluate the efficiency of locating the platform. Based on previously published criteria,15 three search strategies were evaluated for each of the four trials on PID 17. Occasionally, mice changed search strategies during a trial. When this happened, the strategy that best described the major swimming path was assigned. Search strategy analysis showed statistically significant separation between the CCI/Ex and CCI/No-Ex groups (Fig. 1D; χ2=419.2; p<0.001), with the CCI/No-Ex group exhibiting significantly higher reliance on looping search strategies than spatial and systematic search strategies, when compared to the CCI/Ex group.

FIG. 1.

FIG. 1.

Pre-exercise improves cognitive function assessed by the Morris water maze (MWM) and novel object recognition tests. (A) Escape latency. A significant difference was detected between Sham/No-Ex and CCI/No-Ex groups at days 2 (**p<0.01), 3 (*p<0.05), and 4 (***p<0.001). Pre-exercise attenuated spatial learning and memory deficit caused by traumatic brain injury, which was demonstrated by a significant decreased latency at day 4 (#p<0.05). (B) Swimming speed. In order to ensure that latency was not influenced by the locomotor function, swimming speed was measured. No significant difference of swimming speed was found among these four groups in each training day (p>0.05). (C) Probe test. Mice in the CCI/Ex group spent significantly more time in the target quadrant than the CCI/No-Ex group (#p<0.05). Significant differences were also observed between Sham/No-Ex and CCI/No-Ex groups (**p<0.01). (D) Search strategy was examined on each of the four trials on acquisition day 4. Search strategy in the MWM showed good separation between Sham/No-Ex, CCI/No-Ex, and CCI/Ex groups (χ2=419.2; p<0.001). (E and F) Novel Object recognition test. All four groups spent equal time with the two identical objects during the sample phase on postinjury day 22 (dashed line at 10 sec). Twenty-four hours after the sample phase, the time spent with the novel and familiar objects during the choice phase was recorded. Mice subjected to pre-exercise (CCI/Ex) spent significantly more time with the novel object, when compared to the CCI/No-Ex group (#p<0.05). Significant differences were also observed between Sham/No-Ex and CCI/Ex groups (*p<0.05). Analysis by repeated-measures one-way analysis of variance (ANOVA) in (A) and (B), by one-way ANOVA in (C), (E), and (F), followed by Student-Newman-Keuls' post-hoc test: mean±standard error of the mean. (D) was analyzed by chi-square analysis; n=8–17. CCI, controlled cortical impact.

Hippocampal-mediated nonspatial learning and memory post-TBI was assessed by the novel object recognition test. Sham/No-Ex, Sham/Ex, CCI/No-Ex, and CCI/Ex groups all spent similar times with two identical objects in the sample phase, as shown in Figure 1E. The Sham/No-Ex and Sham/Ex group spent more time than chance (10 sec) with the novel object 24 h after training (choice phase), indicating intact memory. The CCI/No-Ex group spent similar time with the novel and familiar objects, whereas the CCI/Ex group spent more time with the novel than familiar objects (Fig. 1F). Further, one-way ANOVA analysis showed a significant effect of pre-exercise with the novel object (F(3,49)=4.76; p<0.05), and Student-Newman-Keuls' post-hoc analysis revealed that the CCI/Ex group spent significantly more time with the novel object, when compared to the CCI/No-Ex group (p<0.05). Significant differences were also observed between the Sham/No-Ex and CCI/No-Ex groups (p<0.05).

Pre-exercise improved motor function, attenuated depressive-like behavior

Mice were tested on the beam walk immediately before sham surgery or TBI and again on PID 1, 3, 7, 14, 21, and 28. Repeated-measures one-way ANOVA showed a significant effect of treatment (Fig. 2A; F(3,321)=642.6; p<0.0001) and day (F(6,321)=74.9; p<0.0001), and Student-Newman-Keuls' post-hoc analysis demonstrated significant differences between the Sham/No-Ex and CCI/No-Ex groups on days 1 (p<0.001), 3 (p<0.001), 7 (p<0.001), 14 (p<0.001), 21 (p<0.001), and 28 (p<0.001). Notably, exercises improved motor function after TBI with a significant difference between the CCI/Ex and CCI/No-Ex groups on days 3 (p<0.05), 7 (p<0.001), 14 (p<0.001), 21 (p<0.001), and 28 (p<0.01).

FIG. 2.

FIG. 2.

Pre-exercise improves motor function in beam walk test and reverses depressive-like behavior in the tail-suspension (TS) test. (A) All animals had less than 10 foot faults before CCI. Significant differences were observed between the CCI/No-Ex and CCI/Ex groups on postinjury day (PID) 3 (#p<0.05), PID 7 (###p<0.001), PID 14 (###p<0.001), PID 21 (###p<0.001), and PID 28 (##p<0.01). Significant differences were also observed between the Sham/No-Ex and CCI/No-Ex groups from PID 1 to PID 28 (***p<0.001). (B) The TS test was performed on PID 21. Significantly increased immobility times were observed in the CCI/No-Ex group (***p<0.001), when compared to the Sham/No-Ex group. Immobility time was significantly reduced in the CCI/Ex group, as compared to the CCI/No-Ex group (###p<0.001). Analysis by repeated-measures one-way analysis of variance (ANOVA) in (A), by one-way ANOVA in (B) followed by Student-Newman-Keuls' post-hoc test; mean±standard error of the mean, n=8–17. CCI, controlled cortical impact.

To determine the long-term effects on depressive-like behavior after exercise, immobility time was tested in a tail suspension test on PID 21. Increased immobility time in a 5-min test is a measure of the degree of hopelessness and despair. One-way ANOVA analysis showed a significant effect of treatment in the tail suspension test (Fig. 2B; F(3, 49)=15.96; p<0.001), and Student-Newman-Keuls' post-hoc analysis demonstrated significantly increased immobility times in the CCI/No-Ex group (p<0.001), when compared to the Sham/No-Ex group. We observed an improvement following pre-exercise, and there was a significant difference between the CCI/Ex and CCI/No-Ex groups (p<0.001).

Pre-exercise reduced lesion volume and neuronal loss in the hippocampus, cortex, and thalamus after traumatic brain injury

TBI-induced lesion volume was quantified in cresyl violet–stained coronal brain sections from the CCI/No-Ex and CCI/Ex groups at 28 days postinjury by stereological methods. Pre-exercise significantly reduced TBI induced lesion volumes, compared to the sedative group (Fig. 3A; t(11)=3.39; p<0.01). Representative images from each group are shown in Figure 3B.

FIG. 3.

FIG. 3.

Pre-exercise reduces lesion size and attenuates neuronal cell loss in the CA1, CA2/3, and DG subregions of hippocampus, cortex, and thalamus. Lesion volume was quantified using Cavalieri's method. Unbiased stereological assessment of lesion volume at 28 days after traumatic brain injury was performed on cresyl violet–stained brain section. (A) Representative images from each group are shown. (B) Significant reduction of lesion volume was observed in the CCI/Ex group (**p<0.01), when compared to the CCI/No-Ex group. Stereological assessment of neuronal cell on postinjury day 28 was performed on cresyl violet–stained sections in the CA1, CA2/3, and DG subregions of the hippocampus, cortex, and thalamus. (C, D, E, F, and G) Significant differences of neuronal density were observed between Sham/No-Ex and CCI/No-Ex groups in the CA1 (**p<0.01), CA2/3 (**p<0.01), DG (*p<0.01) subregions of the hippocampus as well as cortex (*p<0.05) and thalamus (***p<0.001). Pre-exercise (CCI/Ex) significantly increased neuronal density in the CA1 (#p<0.05), CA2/3 (#p<0.05), DG (###p<0.001), cortex (#p<0.05), and thalamus (###p<0.001), compared to the CCI/No-Ex group. Analysis by two-tailed paired Student's t-test in (B) and one-way analysis of variance in (C), (D), (E), (F), and (G) followed by Student-Newman-Keuls' test; mean±standard error of the mean, n=6–8. CCI, controlled cortical impact; CA, cornu ammonis; DG, dentate gyrus.

Neuronal loss in the CA1, CA2/3, and DG subregions of the hippocampus, cortex, and thalamus were quantified in cresyl violet–stained brain sections from Sham/No-Ex, Sham/Ex, CCI/No-Ex, and CCI/Ex groups 28 days postinjury by stereological methods (Fig. 3C–G). One-way ANOVA analysis showed a significant effect of treatment in the CA1 (Fig. 3C; F(3,23)=5.44; p<0.01), CA2/3 (Fig. 3D; F(3,23)=12.00; p<0.001), DG (Fig. 3E; F(3,23)=8.53; p<0.001), cortex (Fig. 3F; F(3,23)=4.81; p<0.05), and thalamus (Fig. 3G; F(3,23)=14.23; p<0.001) neuronal densities, and Student-Newman-Keuls' post-hoc analysis demonstrated a significant difference of neuronal densities between the Sham/No-Ex and CCI/No-Ex groups in the CA1 (Fig. 3C; p<0.01), CA2/3 (Fig. 3D; p<0.01), DG (Fig. 3E; p<0.01), cortex (Fig. 3F; p<0.05), and thalamus (Fig. 3G; p<0.001). Significant increased neuronal densities in the CCI/Ex group were observed in the CA1 (p<0.05), CA2/3 (p<0.05), DG (p<0.001), cortex (p<0.05), and thalamus (p<0.001) regions, compared to the CCI/No-Ex group in these regions.

Pre-exercise attenuated microglial activation after traumatic brain injury

TBI results in microglial activation, as demonstrated by the transition of the microglial phenotypes from a ramified (resting form) cellular morphology predominant in noninjured brain, to increasingly more activated phenotypes showing hypertrophic (moderate activation) or bushy (full activation) cellular morphologies.26 Stereological assessment of microglial cell number and activation phenotype was performed in the ipsilateral cortex at 28 days post-TBI. We observed a significant decrease in ramified microglia in the CCI/No-Ex group (Fig. 4A; F(3,24)=5.65; p<0.05) and increase in hypertrophic (Fig. 4B; F(3,24)=33.47; p<0.001) and bushy microglia (Fig. 4C; F(3,24)=28.74; p<0.001), as compared to the Sham/No-Ex group. Pre-exercise significantly reduced hypertrophic (moderated activated; Fig. 4B) and bushy (highly activated) microglia (Fig. 4C; p<0.05), when compared to the CCI/No-Ex group. Though there was tendency, pre-exercise did not significantly increase the density of ramified microglia (Fig. 4A).

FIG. 4.

FIG. 4.

Pre-exercise attenuates microglia activation after traumatic brain injury (TBI). Unbiased stereological quantification of microglial cell number and activation status in the cortex at 28 days post-TBI were measured. Resting ramified (A) as well as activating hypertrophic (B) and bushy (C) microglia phenotypes were analyzed. Mice in the CCI/No-Ex group showed significantly reduced densities of ramified microglia (*p<0.05), as well as increased densities of hypertrophic (***p<0.001) and bushy microglia (***p<0.001), compared to the Sham/No-Ex group. Pre-exercise significantly attenuated activation of hypertrophic (###p<0.001) and bushy microglia (###p<0.001), compared to the CCI/No-Ex group. Analysis by one-way analysis of variance followed by Student-Newman-Keuls' test; mean±standard error of the mean, n=6. CCI, controlled cortical impact.

Pre-exercise enhanced neuronal synaptic plasticity

To explore the mechanism underlying pre-exercise induced cognitive, affective, and motor functions, expression of genes involved in regulation of synaptic plasticity and apoptosis was analyzed in the ipsilateral cortex 24 h after TBI. We observed significant increase in expression of neurotrophic factors, such as BDNF and CREB (Fig. 5; F(3,24)=55.26; p<0.001 and F(3,24)=73.79; p<0.001, respectively) in the Sham/Ex group, when compared to Sham/No-Ex groups. Further, pre-exercise (CCI/Ex) significantly increased BDNF and CREB gene expression, when compared to the CCI/No-Ex group (p<0.001 and p<0.001 respectively).

FIG. 5.

FIG. 5.

Pre-exercise up-regulates expression of BDNF and CREB. Ipsilateral cortex was collected 24 h after traumatic brain injury and total RNA was purified and subjected to real-time polymerase chain reaction (PCR). Quantitative PCR quantification of expression levels of BDNF and CREB. Data are mean±standard deviation. Analysis by one-way analysis of variance followed by Student-Newman-Keuls' test; mean±standard error of the mean, n=5–8; ***p<0.001 versus Sham/No-Ex group; ###p<0.001 versus CCI/No-Ex group. BDNF, brain-derived neurotrophic factor; CREB, cyclic adenosine monophosphate response element-binding protein; CCI, controlled cortical impact.

Pre-exercise down-regulated expression of Bid and PUMA and attenuated translocation of apoptosis-inducing factor and cytochrome c from mitochondria to cytoplasm

Quantitative PCR analysis demonstrated that expression of proapoptotic members of the B-cell lymphoma 2 (Bcl-2) family, such as Bid and Puma, were significantly increased in the CCI/No-Ex group, when compared to the Sham/No-Ex group (Fig. 6A; F(3,22)=19.68; p<0.001 and F(3,22)=81.30, p<0.001, respectively). Pre-exercise significantly reversed activation of Bid and Puma (Fig. 6A; p<0.05 and p<0.001, respectively), when compared to the CCI/No-Ex group.

FIG. 6.

FIG. 6.

Pre-exercise down-regulated expression of Bid and PUMA and attenuated translocation of apoptosis-inducing factor (AIF) and cytochrome c from mitochondria to cytoplasm. (A) Quantitative polymerase chain reaction quantification of expression levels of Bid and PUMA. Ipsilateral cortex was collected 24 h after traumatic brain injury and subjected to Western blotting. (B) Whole-tissue lysates were fractioned on sodium dodecyl sulfate/polyacrylamide gel electrophoresis (SDS-PAGE) and immunoblotted with antibodies against Bid, PUMA, and β-actin. (C) Cytosolic fractions were fractioned on SDS-PAGE and immunoblotted with antibodies against AIF-1, cytochrome c, and glyceraldehyde 3-phosphate dehydrogenase (GAPDH). (D) Levels of Bid and PUMA proteins in whole-tissue lysates were quantified as fold change to the Sham/No-Ex group after measurement of band intensity by densitometry and normalization to levels of β-actin. (E) Levels of AIF-1 and cytochrome in cytosolic fraction c proteins were quantified as fold change to the Sham/No-Ex group after measurement of band intensity by densitometry and normalization to levels of GAPDH. Data are mean±standard deviation. Analysis by one-way analysis of variance followed by Student-Newman-Keuls' test; mean±standard error of the mean, n=4–6; ***p<0.001 versus Sham/No-Ex group; #p<0.05, ##p<0.00, and ###p<0.001 versus CCI/No-Ex group. CCI, controlled cortical impact.

Levels of Bid and PUMA in the ipsilateral cortex obtained 24 h after TBI with or without exercise were analyzed by Western blotting. Bid and PUMA proteins were significantly increased in the CCI/No-Ex group, when compared to the Sham/No-Ex group (Fig. 6B,D; F(3.19)=106.8; p<0.001 and F(3.19)=156.9, p<0.001, respectively). Pre-exercise significantly down-regulated the level of Bid and PUMA (Fig. 6B,D; F(3.19)=106.8; p<0.001 and F(3.19)=156.9; p<0.001, respectively), when compared to the CCI/No-Ex group.

Translocation of AIF and cytochrome c from mitochondria to cytoplasm is another well-known marker of apoptotic cell death. Analysis of cytosolic fractions revealed that CCI dramatically increased release of AIF and cytochrome c into the cytosol (Fig. 6C,E; F(3.19)=91.98; p<0.001 and F(3.19)=113.4; p<0.001, respectively). In contract, pre-exercise significantly reduced release of AIF and cytochrome c into the cytosol (Fig. 6C,E; p<0.001 and p<0.001, respectively).

Pre-exercise up-regulated expression of heat shock protein, attenuated apoptosis-inducing factor translocation to the nucleus and cleavage of α-Spectrin after traumatic brain injury

We measured expression levels of two genes (Hspa1a and Hspa1b) that encode HSP70, a highly conserved molecular chaperone, which promotes cell survival under various pathological conditions. The coding regions of HSPa1a and HSPa1b are similar, but the promoter and 3′ untranslated region sequences differ.30 The CCI/No-Ex group showed significantly increased Hspa1a (Fig. 7A; F(3,23)=32.51; p<0.01) and Hspa1b (F(3,23)=36.83; p<0.001) gene expression, when compared to the Sham/No-Ex group at 24 h after CCI. Notably, pre-exercise further increased HSPa1a (Fig. 7A; p<0.001) and HSPa1b (p<0.001) gene expression, when compared to the CCI/No-Ex group. HSP70 protein level was also further significantly increased in the CCI/Ex group, when compared to the CCI/No-Ex group (Fig. 7B,E; F(3,19)=35.55; p<0.001).

FIG. 7.

FIG. 7.

Pre-exercise up-regulated expression of HSP70, attenuated AIF translocation to the nucleus and cleavage of α-Spectrin after traumatic brain injury (TBI). (A) Quantitative polymerase chain reaction quantification of expression levels of HSP70a1a and HSP70a1b. Level of gene expression was normalized to glyceraldehyde 3-phosphate dehydrogenase (GAPDH) expression. Ipsilateral cortex was collected 24 h post-TBI and subjected to Western blotting. (B) Whole-tissue lysates were fractioned on sodium dodecyl sulfate/polyacrylamide gel electrophoresis (SDS-PAGE) and immunoblotted with antibodies against HSP70 and β-actin. (C) Nuclear fractions were fractioned on SDS-PAGE and immunoblotted with antibodies against AIF-1 and Histone H2A.X. (D) Whole-tissue lysates were fractioned on SDS-PAGE and immunoblotted with antibodies against α-Spectrin. (E) Levels of HSP70 in whole-tissue lysates were quantified as fold change to the Sham/No-Ex group after measurement of band intensity by densitometry and normalization to levels of β-actin. (F) Level of AIF-1 in nuclear fractions was quantified as fold change to the Sham/No-Ex group after measurement of band intensity by densitometry and normalization to levels of Histone H2A.X. (G) Levels of product α-Spectrin cleavage in whole-tissue lysates were quantified as fold change to the Sham/No-Ex group after measurement of band intensity by densitometry and normalization to levels of β-actin. Data are mean±standard deviation. Analysis by one-way analysis of variance followed by Student-Newman-Keuls' test; mean±standard error of the mean, n=4–6; *p<0.05, **p<0.0, and ***p<0.001 versus Sham/No-Ex group. Levels of product α-Spectrin cleavage in whole-tissue lysates were quantified as fold change to the Sham/No-Ex group after measurement of band intensity by densitometry and normalization to levels of β-actin; ###p<0.001 versus CCI/No-Ex group. HSP, heat shock protein; CCI, controlled cortical impact AIF, apoptosis-inducing factor;.

Western blot analysis of nuclear fractions revealed that that CCI dramatically increased translocation of AIF to the nucleus. However, pre-exercise attenuated AIF translocation to the nucleus, compared to the CCI/No-Ex group (Fig. 7C; F(3.19)=32.94; p<0.001).

Cleavage of αII-Spectrin is a well-established marker of cell death; spectrin is a high-molecular-weight (280-kDa) cytoskeletal protein that undergoes degradation catalyzed by activated caspases and/or other proteases during apoptosis, generating C-terminal 120-kDa and N-terminal 145/150-kDa end products.31–33 Quantitative Western blot analysis demonstrated that CCI caused induction of α-Spectrin cleavage and increased the amount of 150/145- and 120-kDa products of α-Spectrin cleavage (Fig. 7D,G; F(3.19)=26.06; p<0.001 and F(3.19)=7.776; p<0.01, respectively). However, cleavage of α-Spectrin and production of 150/145 fragments was attenuated in the CCI/Ex group, compared to the CCI/No-Ex group (Fig. 7D,G; F(3.19)=26.06; p<0.001). A trend toward reduction of 120 fragment levels in the CCI/Ex group was observed, but it did not reach statistical significance.

Exercise selectively modulates key components of the neuroprotective and cell death pathways in sham and/or injured animals

Table 1 presents an overview of mRNA and/or protein expression levels for select neuroprotective and proapoptotic genes as measured 24 h after CCI. The data quantification is presented as fold change to the Sham/No-Ex group, except p53 protein—owing to undetectable level in shams, fold change was referenced to CCI/No-Ex (mean±SEM; n=5–8) analysis by one-way ANOVA, followed by Student-Newman-Keuls' test. Only the neuroprotective molecules, BDNF and CREB (mRNA), were significantly changed (increased) by exercise in noninjured animals. TBI alone had no significant effect, whereas TBI with exercise was similar to exercise alone. Expressions of HSP70 were significantly induced (mRNA levels) by injury alone, but was further elevated (mRNA and protein) in injured animals after exercise. The changes in HSP70 induced by exercise alone did not reach significance. The proapoptotic molecules, Bid and Puma, were induced (mRNAs and proteins) by injury, and these changes were attenuated by exercise. Other proapoptotic molecules, including p53 (mRNA and protein), BCL2-antagonist/killer 1 (Bak1), Noxa, and Bim (mRNAs), were also induced by injury (p<0.001 for p53, Bak1, Noxa, and Bim), but these changes were not reduced by exercise. The neuroprotective molecule, protein kinase B (Akt), was significantly reduced (protein) by injury (p<0.001), and these changes were not attenuated by exercise. The changes induced by exercise alone in Bid, Puma, p53, Bak1, Noxa, Bim, or Akt did not reach significance. No significant changes (protein) were detected in the proapoptotic protein, apoptotic protease-activating factor 1 (Apaf-1), in response to any intervention.

Table 1.

Overview of mRNA and/or Protein Expression Levels for Select Neuroprotective and Proapoptotic Genes as Measured 24 h Post-CCI

Fold changes
mRNA Sham/No-Ex Sham/Ex CCI/No-Ex CCI/Ex
BDNF 1.00±0.06 2.10±0.04 1.17±0.06 2.10±0.11
CREB 1.00±0.10 2.40±0.09 1.24±0.08 2.60±0.10
Bid 1.00±0.12 1.12±0.08 1.74±0.06 1.50±0.05
Puma 1.01±0.07 1.16±0.13 2.88±0.11 2.15±0.07
Hspa 1a 1.00±0.06 1.17±0.06 2.53±0.24 3.66±0.24
Hspa 1b 1.00±0.06 1.33±0.05 1.93±0.17 3.01±0.16
p53 1.00±0.06 0.87±0.03 3.24±0.20 3.46±0.22
Bak 1 1.00±0.03 0.95±0.03 1.90±0.08 2.06±0.07
Noxa 1.00±0.08 1.06±0.07 2.20±0.08 2.64±0.10
Bim 1.00±0.09 1.13±0.08 2.12±0.03 2.23±0.05
Protein
Bid 1.00±0.14 1.18±0.12 6.56±0.36 4.29±0.18
Puma 1.00±0.08 1.19±0.10 3.13±0.09 2.42±0.05
HSP70 1.00±0.09 1.57±0.10 1.25±0.17 3.05±0.18
Apaf-1 1.00±0.02 0.95±0.05 1.11±0.05 0.93±0.01
p53 Undetected Undetected 1.00±0.08 0.79±0.17
Akt 1.00±0.04 0.96±0.05 0.57±0.02 0.57±0.05

mRNA, messenger RNA; BDNF, brain-derived neurotrophic factor; CREB, cyclic adenosine monophosphate response element-binding protein; Hsp, heat shock protein; Bak1, BCL2-antagonist/killer 1; Apaf-1, apoptotic protease-activating factor 1; Akt, protein kinase B; CCI, controlled cortical impact.

Discussion

After mouse CCI, voluntary exercise preconditioning improved post-traumatic sensorimotor performance and enhanced recovery of cognitive/affective functions. The neuroprotective effects of exercise were associated with significant attenuation of lesion volume, reduction of neuronal loss, and decreased neuroinflammation. Four weeks of voluntary exercise significantly increased post-traumatic expression of the neurotrophic factors, BDNF and CREB, as well as HSP70, a molecule with robust, pleiotropic neuroprotective potential.34,35 Further, exercise reduced trauma-induced expression of the proapoptotic Bcl-2-homology (BH)3-only proteins, Puma and Bid, and markedly attenuated release of proapoptotic molecules from the mitochondria (cytochrome c, AIF), as well as translocation of AIF to the nucleus and cleavage of caspase substrates.

We examined the effects of exercise preconditioning (pre-exercise) on TBI using a number of different functional outcomes in order to evaluate cognitive, affective, and motor functions.15 This approach extends previous observations that relied on limited behavioral outcomes that assessed cognitive function.7,36–40 The standard MWM test, which probes anterograde spatial learning and memory,15,41 showed that pre-Ex significantly improved escape latency, time in platform quadrant, and search strategy. NOR, which evaluates nonspatial hippocampal memory and complements the spatial memory assessment by the MWM test,15,24 demonstrated improvements in time spent with novel object, compared to nonexercised animals. The exercise-mediated improvements in hippocampal function identified by the MWM and NOR were paralleled by decreased hippocampal neuropathological changes. In contrast to previous studies using rat CCI and acute forced exercise (treadmill),42,43 we used unbiased stereological methods to quantify neuronal loss; voluntary pre-Ex significantly reduced trauma-induced neuronal cell loss in the CA1, CA2/3, and DG subregions of the hippocampus. The protective effects of exercise also extended to depressive-like behavior, which occurs after clinical and experimental TBI.44

Performance on the beam walk test reflects sensorimotor function and can detect injury severity-dependent deficits in fine motor coordination after experimental TBI.15 Pre-Ex significantly improved beam walk recovery postinjury. It also attenuated neuronal cell loss in the cortex and thalamus and reduced lesion volumes post-TBI.

Studies using delayed postinjury voluntary exercise paradigms have demonstrated increased levels of various growth factors with neuroprotective potential, including vascular endothelial growth factor, insulin-like growth factor 1, and BDNF, as well as modulators of synaptic plasticity, such as phosphorylated synapsin I (synaptic vesicle clustering and release) and/or CREB protein (long-term plasticity and memory).9,45 BDNF is a key modulator of exercise-dependent neuroprotection that regulates neuronal survival, growth, synaptic facilitation, and neurotransmitter release.9 BDNF up-regulation has been positively correlated with amount of exercise, and its inhibition attenuates the voluntary exercise-dependent cognitive enhancements post-trauma.7 Conversely, the lack of activation of BDNF, synapsin I, and/or CREB by acute exercise may explain the relative lack of improvements of neuropathological and neurological impairments in this model.7,9 Forced exercise, which increases stress and inhibits BDNF signaling, can be detrimental during the acute postinjury period,12 although some studies have suggested that, even in these conditions, exercise retains certain antiapoptotic and neuroprotective effects.42,43

Pre-Ex significantly elevated basal (preinjury) levels of BDNF and CREB gene expression. These effects were sustained postinjury, suggesting that BDNF activation may contribute to the improved neuropathology and neurological function. Exercise did not change trauma-induced reduction of Akt, a key molecule in the BDNF pathway that is upstream of CREB.46,47

BDNF, in addition to activation of neuroplasticity and neuroregeneration,48,49 may also exert neuroprotective effects through negative modulation of apoptotic pathways and/or up-regulation of DNA repair mechanisms. BDNF can decrease levels of Bim, a BH3-only proapoptotic Bcl-2 family molecule, and reduce mitochondria-dependent release of apotosis inducers, such as cytochrome c, and neuronal cell death.50 BH3-only proteins, such as Puma, Noxa, Bid, and Bim, promote neuronal cell death by binding and inactivating antiapoptotic Bcl-2 family members and/or through direct activation of proapoptotic multi-BH domain proteins (Bcl-2-associated X protein [Bax] and Bak), which, ultimately, cause release of proapoptotic molecules from mitochondria (cytochrome c and AIF).51,52 BH3-only proteins have been implicated in neuronal cell death after central nervous system (CNS) injury, including TBI.53 Voluntary exercise-mediated BDNF increases may also protect neurons from oxidative damage by inducing expression of the DNA repair enzyme, apurinic/apyrimidinic endonuclease 1.47

Previous studies have documented the antiapoptotic effects of exercise.8,42,54 Mouse CCI, as well as induction of neuronal death in vitro, sequentially induce p53 activation and up-regulate proapoptotic Bcl-2 family members; the latter include Bax and Bak as well as BH3-only Puma, Noxa, Bim, and Bid, which contribute to mitochondria permeabilization and downstream apoptosis execution cascades.55 Our data show that voluntary exercise significantly reduced induction of Bid and Puma after mouse CCI. In contrast to the pattern observed for BDNF/CREB, pre-exercise did not modulate basal expression of Puma/Bid, but attenuated their trauma-induced up-regulation. Our studies are the first to document exercise-dependent attenuation of release of cytochrome c and AIF from mitochondria post-TBI. Importantly, exercise differentially affected various cell death pathways—with no effects on basal levels or trauma-induced up-regulation of p53, Noxa, Bim, or Bak. Moreover, our data suggest that exercise modulates the pathways responsible for injury-dependent Puma and Bid changes, rather than the mechanisms controlling their basal level.

The 70-kDa heat shock proteins (HSP70s) are stress-induced molecules that are expressed in response to various CNS injuries, including stroke, trauma, or chronic neurodegenerative disorders, and appear to have neuroprotective actions.56 Increased activity may result in changes in cerebral homeostasis, including modification in temperature, pH, ions, and/or decline in bioenergetics status, that could induce mild cellular stress and lead to exercise-mediated up-regulation of HSP70 in the brain.57 In turn, HSP70 elevation may contribute to exercise-mediated neuroprotection.58–60 We have recently demonstrated strong neuroprotective effects of HSP70 up-regulation in vitro as well as after experimental TBI; these actions may reflect HSP70-mediated inhibition of multiple apoptotic mechanisms downstream of the mitochondria—including both the Apaf-1/cytochrome c caspase activation complex (apoptosome) and the caspase-independent pathway that involves AIF translocation to the nucleus.35,44 Brain injury induces HSP70 expression,44 which may serve as an endogenous neuroprotective mechanism post-TBI.34 Here, we show that exercise significantly amplifies HSP70 up-regulation post-TBI, which may contribute to its neuroprotective action, by inhibiting both caspase-dependent and -independent apoptotic pathways. This is supported by our observations that pre-Ex reduces both AIF translocation to the nucleus and cleavage of spectrin, a well-known caspase/calpain substrate.31–33

Exercise preconditioning (forced exercise-treadmill) has been shown to attenuate trauma-induced neuroinflammation and reduce motor impairments in a rat fluid percussion model.61 We have previously demonstrated that late voluntary exercise reduces neuroinflammation and cognitive dysfunction after mouse CCI.9 It has been hypothesized that sustained microglial activation after CNS trauma may play a role in neuronal cell loss after release of neurotoxic molecules, such as nitrous oxide NO and increased OS.14,25,62,63 Our present data demonstrate that exercise preconditioning significantly attenuates trauma-induced activation of neurotoxic microglial phenotypes. The extent to which these findings reflect a direct anti-inflammatory effect or a secondary response owing to reduction in early neuronal cell death remains to be addressed.

In addition to modulation of neuroinflammation, cell death, and neuroplasticity, pre-exercise may also exert neuroprotective effects by impacting other systems, including neurovasculature/perfusion, synaptic density, as well as the brain biomechanical properties, which should be the focus of future investigations. Experimental and clinical data indicate that environmental factors, including cognitive/intellectual enrichment, may have neuroprotective effects.38,64

The present study suggests that pre-exercise may provide neuroprotection in TBI, particularly in segments of the general population that do not regularly perform physical activity. Whereas the present data apply to young adult mice, future studies should examine the effects of exercise in aged mice that may better translate to clinical TBI in the elderly, a vulnerable group at high risk from brain trauma.65

In conclusion, the present study demonstrates that exercise preconditioning strongly protects the brain from TBI and results in activation of antiapoptotic and anti-inflammatory pathways. Exercise-induced up-regulation of BDNF and HSP70 serve to inhibit multiple pathways of neuronal apoptosis, both upstream and downstream of the mitochondria. Although the preconditioning exercise model has been used here to identify its potential neuroprotective mechanisms, physical exercise may serve to limit the consequences of TBI in high-risk populations.

Acknowledgments

The authors thank Titilola Akintola for expert technical assistance and Dr. David Loane for critical review of the manuscript. This work was supported by National Institutes of Health grants R01 NS037313 and R01 NS052568 (to A.I.F.).

Author Disclosure Statement

No competing financial interests exist.

References

  • 1.Faul M X.L., Wald M.M., and Coronado V.G. (2010). Traumatic brain injury in the United States: emergency department visits, hospitalizations, and deaths. Centers for Disease Control and Prevention: Atlanta, GA [Google Scholar]
  • 2.Dutton R.P., Stansbury L.G., Leone S., Kramer E., Hess J.R., and Scalea T.M. (2010). Trauma mortality in mature trauma systems: are we doing better? An analysis of trauma mortality patterns, 1997–2008. J. Trauma 69, 620–626 [DOI] [PubMed] [Google Scholar]
  • 3.Loane D.J., and Faden A.I. (2010). Neuroprotection for traumatic brain injury: translational challenges and emerging therapeutic strategies. Trends Pharmacol. Sci. 31, 596–604 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bramlett H.M., and Dietrich W.D. (2007). Progressive damage after brain and spinal cord injury: pathomechanisms and treatment strategies. Prog. Brain Res. 161, 125–141 [DOI] [PubMed] [Google Scholar]
  • 5.Stoica B.A., and Faden A.I. (2009). Programmed neuronal cell death mechanisms in CNS injury, in: Acute Neuronal Injury: The Role of Excitotoxic Programmed Cell Death Mechanisms, Fujikawa D.G. (ed). Springer Life Sciences: Heidelberg, Germany, pps. 169–199 [Google Scholar]
  • 6.Stoica B.A., and Faden A.I. (2010). Cell death mechanisms and modulation in traumatic brain injury. Neurotherapeutics 7, 3–12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Griesbach G.S. (2011). Exercise after traumatic brain injury: is it a double-edged sword? PM R. 3, S64–S72 [DOI] [PubMed] [Google Scholar]
  • 8.Archer T., Svensson K., and Alricsson M. (2012). Physical exercise ameliorates deficits induced by traumatic brain injury. Acta Neurol. Scand. 125, 293–302 [DOI] [PubMed] [Google Scholar]
  • 9.Piao C.S., Stoica B.A., Wu J., Sabirzhanov B., Zhao Z., Cabatbat R., Loane D.J., and Faden A.I. (2013). Late exercise reduces neuroinflammation and cognitive dysfunction after traumatic brain injury. Neurobiol. Dis. 54, 252–263 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Griesbach G.S., Hovda D.A., Molteni R., Wu A., and Gomez-Pinilla F. (2004). Voluntary exercise following traumatic brain injury: brain-derived neurotrophic factor upregulation and recovery of function. Neuroscience 125, 129–139 [DOI] [PubMed] [Google Scholar]
  • 11.Hicks R.R., Boggs A., Leider D., Kraemer P., Brown R., Scheff S.W., and Seroogy K.B. (1998). Effects of exercise following lateral fluid percussion brain injury in rats. Restor. Neurol. Neurosci. 12, 41–47 [PubMed] [Google Scholar]
  • 12.Griesbach G.S., Tio D.L., Vincelli J., McArthur D.L., and Taylor A.N. (2012). Differential effects of voluntary and forced exercise on stress responses after traumatic brain injury. J. Neurotrauma 29, 1426–1433 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Dixon C.E., Kochanek P.M., Yan H.Q., Schiding J.K., Griffith R.G., Baum E., Marion D.W., and DeKosky S.T. (1999). One-year study of spatial memory performance, brain morphology, and cholinergic markers after moderate controlled cortical impact in rats. J. Neurotrauma 16, 109–122 [DOI] [PubMed] [Google Scholar]
  • 14.Kabadi S.V., Stoica B.A., Byrnes K.R., Hanscom M., Loane D.J., and Faden A.I. (2012). Selective CDK inhibitor limits neuroinflammation and progressive neurodegeneration after brain trauma. J. Cereb. Blood Flow Metab. 32, 137–149 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Zhao Z., Loane D.J., Murray M.G., 2nd, Stoica B.A., and Faden A.I. (2012). Comparing the predictive value of multiple cognitive, affective, and motor tasks after rodent traumatic brain injury. J. Neurotrauma 29, 2475–2489 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.De Biase A., Knoblach S.M., Di Giovanni S., Fan C., Molon A., Hoffman E.P., and Faden A.I. (2005). Gene expression profiling of experimental traumatic spinal cord injury as a function of distance from impact site and injury severity. Physiol. Genomics 22, 368–381 [DOI] [PubMed] [Google Scholar]
  • 17.Di Giovanni S., Knoblach S.M., Brandoli C., Aden S.A., Hoffman E.P., and Faden A.I. (2003). Gene profiling in spinal cord injury shows role of cell cycle in neuronal death. Ann. Neurol. 53, 454–468 [DOI] [PubMed] [Google Scholar]
  • 18.Natale J.E., Ahmed F., Cernak I., Stoica B., and Faden A.I. (2003). Gene expression profile changes are commonly modulated across models and species after traumatic brain injury. J. Neurotrauma 20, 907–927 [DOI] [PubMed] [Google Scholar]
  • 19.Steru L., Chermat R., Thierry B., and Simon P. (1985). The tail suspension test: a new method for screening antidepressants in mice. Psychopharmacology 85, 367–370 [DOI] [PubMed] [Google Scholar]
  • 20.Cryan J.F., Mombereau C., and Vassout A. (2005). The tail suspension test as a model for assessing antidepressant activity: review of pharmacological and genetic studies in mice. Neurosci. Biobehav. Rev. 29, 571–625 [DOI] [PubMed] [Google Scholar]
  • 21.Zhang H.T., Huang Y., Masood A., Stolinski L.R., Li Y., Zhang L., Dlaboga D., Jin S.L., Conti M., and O'Donnell J.M. (2008). Anxiogenic-like behavioral phenotype of mice deficient in phosphodiesterase 4B (PDE4B). Neuropsychopharmacology 33, 1611–1623 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Gresack J.E., Kerr K.M., and Frick K.M. (2007). Short-term environmental enrichment decreases the mnemonic response to estrogen in young, but not aged, female mice. Brain Res. 1160, 91–101 [DOI] [PubMed] [Google Scholar]
  • 23.Zhao Z., Fan L., and Frick K.M. (2010). Epigenetic alterations regulate estradiol-induced enhancement of memory consolidation. Proc. Natl. Acad. Sci. U. S. A. 107, 5605–5610 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Clark R.E., Zola S.M., and Squire L.R. (2000). Impaired recognition memory in rats after damage to the hippocampus. J. Neurosci. 20, 8853–8860 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kabadi S.V., Stoica B.A., Hanscom M., Loane D.J., Kharebava G., Murray Ii M.G., Cabatbat R.M., and Faden A.I. (2012). CR8, a selective and potent CDK inhibitor, provides neuroprotection in experimental traumatic brain injury. Neurotherapeutics 9, 405–421 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Byrnes K.R., Stoica B., Loane D.J., Riccio A., Davis M.I., and Faden A.I. (2009). Metabotropic glutamate receptor 5 activation inhibits microglial associated inflammation and neurotoxicity. Glia 57, 550–560 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Pfaffl M.W. (2001). A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 29, e45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Livak K.J., and Schmittgen T.D. (2001). Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods 25, 402–408 [DOI] [PubMed] [Google Scholar]
  • 29.Stoica B.A., Movsesyan V.A., Knoblach S.M., and Faden A.I. (2005). Ceramide induces neuronal apoptosis through mitogen-activated protein kinases and causes release of multiple mitochondrial proteins. Mol. Cell. Neurosci. 29, 355–371 [DOI] [PubMed] [Google Scholar]
  • 30.Smith R.S., Meyers D.A., Peters S.P., Moore W.C., Wenzel S.A., Bleecker E.R., and Hawkins G.A. (2007). Sequence analysis of HSPA1A and HSPA1B in a multi-ethnic study population. DNA Seq. 18, 47–53 [DOI] [PubMed] [Google Scholar]
  • 31.Saatman K.E., Creed J., and Raghupathi R. (2010). Calpain as a therapeutic target in traumatic brain injury. Neurotherapeutics 7, 31–42 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Siman R., Baudry M., and Lynch G. (1984). Brain fodrin: substrate for calpain I, an endogenous calcium-activated protease. Proc. Natl. Acad. Sci. U. S. A. 81, 3572–3576 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Siman R., McIntosh T.K., Soltesz K.M., Chen Z., Neumar R.W., and Roberts V.L. (2004). Proteins released from degenerating neurons are surrogate markers for acute brain damage. Neurobiol. Dis. 16, 311–320 [DOI] [PubMed] [Google Scholar]
  • 34.Kim J.Y., Kim N., Zheng Z., Lee J.E., and Yenari M.A. (2013). The 70 kDa heat shock protein protects against experimental traumatic brain injury. Neurobiol. Dis. 58, 289–295 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Sabirzhanov B., Stoica B.A., Hanscom M., Piao C.S., and Faden A.I. (2012). Over-expression of HSP70 attenuates caspase-dependent and caspase-independent pathways and inhibits neuronal apoptosis. J. Neurochem. 123, 542–554 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Bao T.H., Miao W., Han J.H., Yin M., Yan Y., Wang W.W., and Zhu Y.H. (2014). Spontaneous running wheel improves cognitive functions of mouse associated with miRNA expressional alteration in hippocampus following traumatic brain injury. J. Mol. Neurosci. 54, 622–629 [DOI] [PubMed] [Google Scholar]
  • 37.Jacotte-Simancas A., Costa-Miserachs D., Coll-Andreu M., Torras-Garcia M., Borlongan C., and Portell-Cortés I. (2015). Effects of voluntary physical exercise, citicoline, and combined treatment on object recognition memory, neurogenesis and neuroprotection after traumatic brain injury in rats. J. Neurotrauma March 6. [Epub ahead of print] doi: 10.1089/neu.2014.3502 [DOI] [PubMed] [Google Scholar]
  • 38.Johnson E.M., Traver K.L., Hoffman S.W., Harrison C.R., and Herman J.P. (2013). Environmental enrichment protects against functional deficits caused by traumatic brain injury. Front. Behav. Neurosci. 7, 44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Shen X., Li A., Zhang Y., Dong X., Shan T., Wu Y., Jia J., and Hu Y. (2013). The effect of different intensities of treadmill exercise on cognitive function deficit following a severe controlled cortical impact in rats. Int. J. Mol. Sci. 14, 21598–21612 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Gu Y.L., Zhang L.W., Ma N., Ye L.L., Wang de X., and Gao X. (2014). Cognitive improvement of mice induced by exercise prior to traumatic brain injury is associated with cytochrome c oxidase. Neurosci. Lett. 570, 86–91 [DOI] [PubMed] [Google Scholar]
  • 41.Morris R. (1984). Developments of a water-maze procedure for studying spatial learning in the rat. J. Neurosci. Methods 11, 47–60 [DOI] [PubMed] [Google Scholar]
  • 42.Itoh T., Imano M., Nishida S., Tsubaki M., Hashimoto S., Ito A., and Satou T. (2011). Exercise inhibits neuronal apoptosis and improves cerebral function following rat traumatic brain injury. J. Neural Transm. 118, 1263–1272 [DOI] [PubMed] [Google Scholar]
  • 43.Kim D.-H., Ko I.-G., Kim B.-K., Kim T.-W., Kim S.-E., Shin M.-S., Kim C.-J., Kim H., Kim K.-M., and Baek S.-S. (2010). Treadmill exercise inhibits traumatic brain injury-induced hippocampal apoptosis. Physiol. Behav. 101, 660–665 [DOI] [PubMed] [Google Scholar]
  • 44.Zhao Z., Faden A.I., Loane D.J., Lipinski M.M., Sabirzhanov B., and Stoica B.A. (2013). Neuroprotective effects of geranylgeranylacetone in experimental traumatic brain injury. J. Cereb. Blood Flow Metab. 33, 1897–1908 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Griesbach G.S., Hovda D.A., and Gomez-Pinilla F. (2009). Exercise-induced improvement in cognitive performance after traumatic brain injury in rats is dependent on BDNF activation. Brain Res. 1288, 105–115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Mattson M.P., Maudsley S., and Martin B. (2004). BDNF and 5-HT: a dynamic duo in age-related neuronal plasticity and neurodegenerative disorders. Trends Neurosci. 27, 589–594 [DOI] [PubMed] [Google Scholar]
  • 47.Yang J.L., Lin Y.T., Chuang P.C., Bohr V.A., and Mattson M.P. (2014). BDNF and exercise enhance neuronal DNA repair by stimulating CREB-mediated production of apurinic/apyrimidinic endonuclease 1. Neuromolecular Med. 16, 161–174 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Quadrato G., Benevento M., Alber S., Jacob C., Floriddia E.M., Nguyen T., Elnaggar M.Y., Pedroarena C.M., Molkentin J.D., and Di Giovanni S. (2012). Nuclear factor of activated T cells (NFATc4) is required for BDNF-dependent survival of adult-born neurons and spatial memory formation in the hippocampus. Proc. Natl. Acad. Sci. U. S. A. 109, E1499–E1508 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Stranahan A.M., Lee K., Martin B., Maudsley S., Golden E., Cutler R.G., and Mattson M.P. (2009). Voluntary exercise and caloric restriction enhance hippocampal dendritic spine density and BDNF levels in diabetic mice. Hippocampus 19, 951–961 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Almeida S., Laco M., Cunha-Oliveira T., Oliveira C.R., and Rego A.C. (2009). BDNF regulates BIM expression levels in 3-nitropropionic acid-treated cortical neurons. Neurobiol. Dis. 35, 448–456 [DOI] [PubMed] [Google Scholar]
  • 51.Lomonosova E., and Chinnadurai G. (2008). BH3-only proteins in apoptosis and beyond: an overview. Oncogene 27, Suppl. 1, S2–S19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Shamas-Din A., Brahmbhatt H., Leber B., and Andrews D.W. (2011). BH3-only proteins: orchestrators of apoptosis. Biochim. Biophys. Acta 1813, 508–520 [DOI] [PubMed] [Google Scholar]
  • 53.Engel T., Plesnila N., Prehn J.H.M., and Henshall D.C. (2011). In vivo contributions of BH3-only proteins to neuronal death following seizures, ischemia, and traumatic brain injury. J. Cereb. Blood Flow Metab. 31, 1196–1210 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Kim S.E., Ko I.G., Kim B.K., Shin M.S., Cho S., Kim C.J., Kim S.H., Baek S.S., Lee E.K., and Jee Y.S. (2010). Treadmill exercise prevents aging-induced failure of memory through an increase in neurogenesis and suppression of apoptosis in rat hippocampus. Exp. Gerontol. 45, 357–365 [DOI] [PubMed] [Google Scholar]
  • 55.Sabirzhanov B., Zhao Z., Stoica B.A., Loane D.J., Wu J., Borroto C., Dorsey S.G., and Faden A.I. (2014). Downregulation of miR-23a and miR-27a following experimental traumatic brain injury induces neuronal cell death through activation of proapoptotic Bcl-2 proteins. J. Neurosci. 34, 10055–10071 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Turturici G., Sconzo G., and Geraci F. (2011). Hsp70 and its molecular role in nervous system diseases. Biochem. Res. Int. 2011, 618127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Heck T.G., Schöler C.M., and de Bittencourt P.I. (2011). HSP70 expression: does it a novel fatigue signalling factor from immune system to the brain? Cell Biochem. Funct. 29, 215–226 [DOI] [PubMed] [Google Scholar]
  • 58.Liu X., Yang le J., Fan S.J., Jiang H., and Pan F. (2010). Swimming exercise effects on the expression of HSP70 and iNOS in hippocampus and prefrontal cortex in combined stress. Neurosci. Lett. 476, 99–103 [DOI] [PubMed] [Google Scholar]
  • 59.Liebelt B., Papapetrou P., Ali A., Guo M., Ji X., Peng C., Rogers R., Curry A., Jimenez D., and Ding Y. (2010). Exercise preconditioning reduces neuronal apoptosis in stroke by up-regulating heat shock protein-70 (heat shock protein-72) and extracellular-signal-regulated-kinase 1/2. Neuroscience 166, 1091–1100 [DOI] [PubMed] [Google Scholar]
  • 60.Chen Y.W., Chen S.H., Chou W., Lo Y.M., Hung C.H., and Lin M.T. (2007). Exercise pretraining protects against cerebral ischaemia induced by heat stroke in rats. Br. J. Sports Med. 41, 597–602 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Mota B.C., Pereira L., Souza M.A., Silva L.F., Magni D.V., Ferreira A.P., Oliveira M.S., Furian A.F., Mazzardo-Martins L., Silva M.D., Santos A.R., Ferreira J., Fighera M.R., and Royes L.F. (2012). Exercise pre-conditioning reduces brain inflammation and protects against toxicity induced by traumatic brain injury: behavioral and neurochemical approach. Neurotox. Res. 21, 175–184 [DOI] [PubMed] [Google Scholar]
  • 62.Kabadi S.V., Stoica B.A., Loane D.J., Byrnes K.R., Hanscom M., Cabatbat R.M., Tan M.T., and Faden A.I. (2012). Cyclin D1 gene ablation confers neuroprotection in traumatic brain injury. J. Neurotrauma 29, 813–827 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Loane D.J., Kumar A., Stoica B.A., Cabatbat R., and Faden A.I. (2014). Progressive neurodegeneration after experimental brain trauma: association with chronic microglial activation. J. Neuropathol. Exp. Neurol. 73, 14–29 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Sumowski J.F., Chiaravalloti N., Krch D., Paxton J., and Deluca J. (2013). Education attenuates the negative impact of traumatic brain injury on cognitive status. Arch. Phys. Med. Rehabil. 94, 2562–2564 [DOI] [PubMed] [Google Scholar]
  • 65.Abelson-Mitchell N. (2008). Epidemiology and prevention of head injuries: literature review. J. Clin. Nurs. 17, 46–57 [DOI] [PubMed] [Google Scholar]

Articles from Journal of Neurotrauma are provided here courtesy of Mary Ann Liebert, Inc.

RESOURCES