Abstract
Given that caffeine consumption is exponentially rising in adolescents and they are at increased risk for repetitive mild traumatic brain injury (RmTBI), we sought to examine the pathophysiological outcomes associated with early life caffeine consumption and RmTBI. Adolescent male and female Sprague Dawley rats received either caffeine in the drinking water or normal water and were then randomly assigned to 3 mild injuries using our lateral impact device or 3 sham procedures. Following injury induction, behavioral outcomes were measured with a test battery designed to examine symptoms consistent with clinical manifestation of PCS (balance and motor coordination, anxiety, short-term working memory, and depressive-like behaviours). In addition, pathophysiological outcomes were examined with histological measures of volume and cellular proliferation in the dentate gyrus, as well as microglia activation in the ventromedial hypothalamus. Finally, modifications to expression of 12 genes (Adora2a, App, Aqp4, Bdnf, Bmal1, Clock, Cry, Gfap, Orx1, Orx2, Per, Tau), in the prefrontal cortex, hippocampus, and/or the hypothalamus were assessed. We found that chronic caffeine consumption in adolescence altered normal developmental trajectories, as well as recovery from RmTBI. Of particular importance, many of the outcomes exhibited sex-dependent responses whereby the sex of the animal modified response to caffeine, RmTBI, and the combination of the two. These results suggest that caffeine consumption in adolescents at high risk for RmTBI should be monitored.
Introduction
Concussion, or mild traumatic brain injury (mTBI) is the most common type of head injury and is often sustained during sports or recreation [1]. mTBI differs from moderate or severe TBI in that no gross structural damage can be identified when using conventional brain imaging techniques. Adolescents and children are at the highest risk for mTBI and repetitive mTBI (RmTBI), which increases their risk of sustaining subsequent concussions, extends recovery time, and may lead to the development of long-term psychological and/or neurological deficits [2–4]. Longitudinal measurements of patients that have experienced RmTBI showed poor executive function, depression scores, and cognitive changes that were related to the number of injuries received [5]. In addition, resting state fMRI indicates sustained brain network hyper-connectivity in high school football players when compared to non-contact sport controls [6]. Even in the absence of a concussion, neuropsychological impairment was linked to the number and location of head blows that they received throughout the season [7]. Head impact telemetry systems have shown that high school football players may experience as many as 1000 impacts throughout the season [8]. Therefore, a thorough understanding of RmTBI pathology, particularly during the developmentally vulnerable stage of adolescence is critical to predicting outcomes.
Moreover, we currently lack prognostic tools that can effectively distinguish between those that will recover without incident and those that will go on to suffer from lingering symptomology commonly referred to as post-concussive syndrome (PCS). Premorbid characteristics such as diet and cognitive reserve have been shown to modify recovery from mTBI and contribute to increased heterogeneity in adolescent cohorts [9, 10]. Children and adolescents are the fastest growing population of caffeine users, with caffeine use in adolescents rising exponentially [11]. This exponential increase has been associated with increased accessibility and the emergence of caffeinated soda and energy drinks. Caffeine is socially acceptable, legal for children and adolescents, and is the most widely used psychoactive substance in the world. Adolescents, (10–16 year of age) who report caffeine use, consumed at least 2 servings per day [12]. Of significance, adolescent awareness of the potential negative consequences associated with daily consumption of caffeine is low, while primary reasons for consumption included staying awake and having extra energy for extracurricular activities including sports [13]. Caffeine has been shown to have beneficial effects for adults in the context of sports whereby it may increase voluntary muscle activation and vertical jump height [14, 15]. This is possibly why some research has found that in populations of adolescent athletes, caffeinated energy drinks were consumed by 69% of participants, with 17% using them every day or more than 3 times a week [16].
Given that caffeine consumption and RmTBI are common in adolescents, especially in the context of sports, we sought to examine the pathophysiological outcomes associated with early life caffeine consumption and RmTBI. Both male and female rats received either caffeinated or non-caffeinated drinking water and were then randomly assigned to 3 mild injuries using our lateral impact device or a sham procedure. Following injury induction, behavioral outcomes were measured with a behavioral test battery designed to examine symptoms consistent with clinical manifestation of PCS. In addition, pathophysiological outcomes were examined with histological processing for volume, microglia activation, and cellular proliferation, along with modifications to gene expression in the prefrontal cortex (PFC), the hippocampus (HPC) and the hypothalamus (HYPO). The PFC and HPC were chosen for analysis because mTBIs and caffeine alter executive function, short-term working memory, impulsivity, and attentional processes, all of which rely on neural circuits associated with these 2 brain regions. The HYPO plays a significant role in regulation of sleep-wake cycles, metabolism, and hormone secretion, functions also possibly influenced by caffeine and brain injury.
Materials and methods
Animals and RmTBI procedure
Male (n = 35) and female (n = 39) Sprague Dawley rats were bred in-house to 7 dams (Charles Rivers Laboratories, QC, Canada). All rats were housed in same-sex groups of 3 or 4 and were maintained on a 12:12 hr light:dark cycle in a temperature controlled husbandry room at 21°C. Food and water (caffeinated or non-caffeinated) was available ad libitum. Rats were randomly assigned to the caffeine (1g/L in water; Sigma Aldrich, Oakville ON) or non-caffeinated group and were then further assigned to the RmTBI or sham condition. This generated the following groups; caffeine + RmTBI (11M: 13F), caffeine + sham (8M: 9F), water + RmTBI (9M: 9F), and water + sham (7M: 8F). We used a dose of caffeine (1g/L) that has routinely been used in the literature to induce serum levels roughly equivalent to 5 cups of coffee/day [17, 18]. The experiments and procedures were approved by the University of Calgary Conjoint Facilities Research Ethics Board, and conducted in accordance with the Canadian Council of Animal Care.
RmTBIs were administered using our lateral impact device as described previously [19, 20]. The RmTBI and sham groups were subjected to three sham or injury procedures spaced three days apart (P30, P34 & P38). The rats were anesthetized using inhalant isoflurane gas until they were no longer responsive to a toe pinch (~30 s). Next, they were placed in the prone position on a Teflon® board with the left side of the head facing the lateral impactor device. A 50-g cylindrical weight was propelled towards the head at 7.40 m/s ± 0.64 using a pneumatic air compressed barrel. The weight made impact with a small aluminum plate placed against the rat’s head. The purpose of this plate was to reduce the risk of bone or skull damage while still ensuring rotational, acceleration, and deceleration forces were imposed. Following the procedure, Xylocaine (2%; AstraZeneca, Canada) was applied to head and rats were placed on their backs in a clean warm cage. For sham injuries, the rats were anesthetized, placed on the Teflon® board, but not impacted. The time-to-right, determined as the time taken for the rat to right itself from the position on its back with no muscle tone, to a prone position with muscle tone, was recorded.
Behavioral testing
These behavioral tests were chosen to model the symptoms associated with post-concussive syndrome as has been previously discussed [21, 22] The beam-walk test was undertaken first 24 hours following mTBI to measure loss of balance and coordination. The open field and elevated plus maze were undertaken next as motor abnormalities and anxiety type behaviors emerge next. Next, the novel context was conducted as typically working memory deficits occur around this time. Finally, the forced swim was conducted last as this procedure is typically seen as the most stressful and also resembles the time when depressive behaviors emerge. See Fig 1 for a illustration of the experimental paradigm.
Beam-Walking
Twenty-four hours following the third mTBI, (post-injury day 1 (PID1)) all rats were tested using the beam walking procedure [23]. This procedure was designed to assess balance and motor coordination impairments that are often seen following concussion. Rats were placed at one end of a 165 cm long tapered beam with their home cage on the other end. The start of the beam was wider and as the beam approached the home cage it becomes narrower. The beam was suspended between two platforms approximately 1 m off the ground and had 2 cm ledges that catch the hind legs if the rat slipped off the central portion of the beam. Each rat underwent 1 unscored pre-training trial. The following 4 trials were videotaped and scored by an observer blind to the experimental condition. Hind leg foot slips were scored every time the rat used the safety ledge with the rear foot while moving across the beam. The beam was cleaned with Virkon® between each rat.
Open-Field
On PID2, rats were tested in the open field procedure. The rats were placed in the centre of an open field arena 135 cm in diameter that was monitored by an overhead video camera. The rat was permitted to freely move about for 10 min undisturbed. The open field test has been used to assess general locomotor activity and the capacity to engage in exploratory behavior [24]. The distance and speed of travel was obtained with the overhead video camera. The open field was cleaned using Virkon® between each rat.
Elevated plus maze (EPM)
On PID3, rats were tested using the elevated plus maze (EPM). The EPM was constructed of black plexiglass® and had two open arms and two closed arms. This behavioral task has been used extensively to examine anxiety-like behaviors [25]. Rats were placed in the centre of the EPM, facing one of the closed arms and were permitted to explore for 5 min. The session was recorded with a video camera and a researcher blinded to the experimental conditions scored each session for the time the rat spent in the open and closed arms. The EPM was cleaned using Virkon® between each rat.
Novel context mismatch (NCM)
The NCM has been used a measure of short-term working memory [26]. On PID5-7, the rats were placed in two different contexts (Context A and B) for 5 min each, one context immediately preceding the other. Context A was a clear plastic rectangular bin containing two identical objects. Context B was a dark blue circular bin containing a different pair of identical objects. On PID8 rats were exposed to a probe trial; Context A (5 min) → Context B (5 min) → home-cage (5 min) → Novel Context (5 min). The novel context consisted of a modified Context A (Context Amodified contained one object from context A and one object from context B) or a modified Context B (Context Bmodified which contained one object from context B and one object from context A). Exploration of the novel context was videotaped, and a research associate blinded to the experimental conditions recorded the amount of time each rat spent investigating the novel object and the old object. All of the objects and context containers were cleaned with Virkon® between each testing session.
Forced swim
The forced swim procedure has been used extensively in many different situations to measure depressive type behaviors [27]. Animals that spend more time immobile during the procedure are thought to display increased depressive-like behaviors. A cylindrical tank 30 cm diameter 60 cm high was filled with warm water (~25°C). At PID 9 or 10, the rat was gently placed in the water in the cylinder for the testing session and recorded for 7 min. Upon completion of the testing session, the rat was dried with a warm towel and returned to the home cage. A research analyst blinded to the experimental conditions scored the amount of time each rat spent immobile (absence of swimming movement).
Molecular analysis
Upon completion of the behavioral testing (~ P55), 1/2 of the rats were sacrificed for RT-qPCR whereby brain tissue was collected from the PFC, HPC, and HYPO. Rats were anesthetized using isoflurane, weighed, and decapitated rapidly. The PFC, HPC, and HYPO were extracted using the coordinate system provided by the Paxinos and Watson (2006) rat atlas and flash frozen on dry ice. The brain tissue was stored at -80°C until RNA was extracted.
RNA extraction and RT-qpcr
The RNA was extracted using the Allprep RNA/DNA Mini Kit (Qiagen, Hilden, Germany) following the protocols of the manufacturer. A Nanodrop2000 (Thermo Fisher Scientific, Waltham, MA) was used to determine the total RNA concentration. 2-μgs of the purified RNA was reverse transcribed to cDNA using oligo(dT)20 of the Superscript III First-Strand Synthesis Supermix kit (Invitrogen, Carlsbad, CA) following the manufacturer’s protocols. The RT-qPCR reaction contained 10 ng cDNA combined with 0.5 μM of the forward and reverse primers and SYBR Green FastMix and was analyzed with a CFX Connect Real-Time PCR Detection System (Bio-Rad, Hercules, CA). To determine the PCR efficiency, a standard curve was generated using serial dilution of cDNA from pooled control samples. Each sample was run in duplicate along with no-template controls for each gene that was examined in each brain region. Gene expression in each of the experimental conditions was determined by normalization to 2 housekeeping genes (CycA and Ywhaz) [28] using the previously validated 2 -ΔΔCt method [29].
Serum caffeine concentration
At the time of sacrifice, trunk blood was collected from all animals in serum separator tubes (BD, Franklin Labs, NJ, USA). Samples were clotted for 30 minutes at room temperature and then centrifuged at 1000g for 15 minutes. Serum was aliquoted into 300–400 μl samples and stored at -20°C. ELISA kits were purchased for caffeine (Abraxis LLC, PA, USA) and were performed according to the manufacturer’s instructions. All standards, positive and negative controls, and samples were run in triplicate, and measured with the BioTek Synergy H.T. plate reader and Gen5 2.00.18 software using a path length correction algorithm. All samples fell within normal range of the standard curve.
Gene selection
A total of 12 genes were selected for analysis. In the PFC and HPC we examined gene expression changes in 6 genes, adenosine A2A receptor (Adora2a), amyloid precursor protein (App), aquaporin-4 (Aqp4), brain derived neurotrophic factor (Bdnf), glial fibrillary acidic protein (Gfap), and Tau protein (Tau). Caffeine is an Adora2a antagonist, and it is believed that caffeine’s neuroprotective abilities are linked to suppression of Adora2a activation [30]. App expression has been demonstrated to increase following TBI [31], while caffeine has been shown to reduce levels of App in animal models of neurodegeneration [32]. Aqp4 channels have been shown to play an important role in water transport and studies in TBI have demonstrated that increased Aqp4 reduces edema following TBI and is necessary for recovery [33]. Bdnf is frequently assessed following brain injury and has been linked to the neuroprotective properties of caffeine [34–36]. Gfap has been consistently used as an estimate of astrocyte activation following brain injury [37, 38]. Tau is a microtubule associated protein that has become well-established biomarker of axonal injury following mTBI [39, 40]. Eight genes were examined in the HYPO; 6 of which are involved in the typical transcriptional feedback loop of the circadian clock, brain muscle ARNT like protein 1 (Bmal1), circadian locomotor output cycles kaput (Clock), cryptochrome (Cry), period (Per), orexin receptor 1 (Orx1), and orexin receptor 2 (Orx2). Given that both RmTBI and caffeine consumption disrupt typical sleep patterns, we sought to determine if changes in circadian clock genes were involved [41, 42]. In addition to the circadian clock genes, we examined expression of App and Tau in the HYPO for the reasons described above.
Histology
The remaining half of the rats were injected with an overdose of sodium pentobarbital and were intracardially perfused with approximately 200 ml of phosphate buffered saline (0.1M PBS) followed by a similar volume of 4% paraformaldehyde (PFA). Brains were extracted and stored in 4% PFA for 24 hours after which they were transferred to a 30% sucrose, 0.1M PBS solution. Upon sinking, brains were sectioned using a freezing sliding microtome. Sections were taken employing a sampling fraction of 1/12 and were cut at a thickness of 40 microns.
Volume analysis
To estimate the volume of the dentate gyrus granule cell layer (DG) a single series of tissue was stained with Cresyl Violet using standard laboratory procedures. Images of brain sections were captured using a Zeiss Axioplan 2 microscope attached to a Zeiss Axiocam 503 camera with a 5x/0.25 objective. Using ImageJ software (https://imagej.nih.gov/ij/) a sampling grid was randomly placed over each captured image of the DG. An area per point of 0.01 mm2 was used, and the total number of contact points between the granule cell layer and the grid was quantified for each section. The area associated with each point was then multiplied by the number of contact points, the section cut thickness, and the sampling fraction. These numbers were summed to provide a volume estimate of the dentate gyrus granule cell layer.
Immunohistochemistry
Free-floating sections were incubated in a primary solution containing either rabbit anti-Ki67 (Millipore), or rabbit anti-Iba1 (Wako Lab Chemicals) at a dilution of 1:500 in 0.1M PBS, 0.3% Triton-X for 24 hours. Sections were then incubated in a secondary solution containing a 1:500 dilution of anti-rabbit Cy3 (Jackson ImmunoResearch) for 24 hours. Tissue was counter-stained with 4,6-Diamidino-2-phenylindole (DAPI; Sigma Aldrich), and then mounted and coverslipped using a fluorescent mounting medium, and stored at 4°C until quantification.
Quantification
All quantification was performed using a Ziess Axioplan 2 microscope matched to a 40x/0.75 objective. The number of immune-positive cells within each designated region of interest (DG granule cell layer, ventromedial hypothalamus) were counted in each section, except for those in the uppermost focal plane in order to minimize edge artifacts (Kronenberg et al., 2006). The total number of immune-positive cells was multiplied by the inverse of the section-sampling fraction (1/12 for the DG and 3/12 for the HYPO) to provide a total number estimate.
Statistical analysis
All data were analyzed using three-way ANOVAs with sex (male; female), caffeine (caffeine; non-caffeine) and injury (RmTBI; sham) as factors. Post hoc follow-up pairwise comparisons were conducted where applicable. All statistical analyses were conducted using SPSS 20.0 for Mac and considered significant if p < 0.05. For all graphs means are displayed ± standard error.
Results
Effects of caffeine on animal characteristics
Analysis of ELISA data demonstrated that animals in the caffeine group had significantly higher levels of caffeine in serum as compared to animals in the non-caffeine group (10.58 mg/L ± 0.23 vs. 0.11 mg/L ± .37, respectively). The three-way ANOVA exhibited a main effect of caffeine F(1, 73) = 344.60, p < .01. Similar to human reports, caffeine consumption reduced overall weight gain in our rats. At the time of sacrifice (~P50), caffeine-exposed rats weighed significantly less than controls. The three-way ANOVA exhibited a main effect of sex, F(1, 73) = 163.54, p < .01, and of caffeine, F(1, 73) = 26.75, p < .01. Finally, examination of brain weight (measured as a percentage of body weight) demonstrated that females had heavier brains than males, caffeine increased brain weight in control rats, but caffeine decreased brain weight in TBI rats. The three-way ANOVA demonstrated a main effect of sex, F(1, 73) = 338.49, p < .01, and of caffeine, F(1, 73) = 5.34, p = .02. There was a significant interaction between caffeine and injury, F(1, 73) = 6.61, p = .01 with reductions in relative brain weight seen in the caffeine groups following injury See Fig 2G. All other main effects and interactions were non-significant (p > 0.05).
Behavioral analysis
Rats in the RmTBI group exhibited acute impairments in the time-to-right and beam-walking task, indicating that the injury induction protocol was effective (Fig 2A and 2B). In the open field, males in the non-caffeine condition exhibited an increase in distance traveled following RmTBI, but a reduction in distance if they were exposed to chronic caffeine. Females in the non-caffeine condition showed a reduction in distance following RmTBI, however no change in the caffeine condition (Fig 2C). The time spent in open arms in the EPM exhibited a significant sex by injury and three-way interaction whereby RmTBI had an effect in the non-caffeinated condition, but not the caffeine group, and caffeine rats significantly differed from non-caffeinated controls (Fig 2D). Short-term working memory was significantly affected by sex, injury, and caffeine (Fig 2E). Males in the caffeine condition showed larger deficits in working memory, whereas females in the caffeine condition appeared to have these deficits ameliorated. Finally, rats that experienced RmTBI or caffeine exposure, exhibited increased immobile time in the forced swim task (Fig 2F). Males receiving caffeine showed higher levels of immobility, with the highest amount of time seen in the male caffeine RmTBI group. See Table 1 for a summary of the three-way ANOVA results for the 6 behavioural tasks. All other effects and interactions were non-significant (p >0.05).
Table 1. Summary of statistical results from the three-way ANOVAs for the behavioral measures in question.
Behavioral Test | Effect of Sex: F(p) | Effect of Injury: F(p) | Effect of Caffeine: F(p) | Significant Interactions |
---|---|---|---|---|
Time-to-Right | 1.48 (.23) | 64.88 (< .01) | 0.22 (.64) | N/A |
Beam Walk | 2.93 (.09) | 16.56 (< .01) | 0.03 (.96) | N/A |
Open Field | 0.55 (.46) | 3.08 (.08) | 2.56 (.14) | Sex x Caffeine = 9.62 (< .01) Three-way Interaction = 9.15 (< .01) |
Elevated Plus Maze | 3.7 (.31) | 1.46 (.23) | 2.40 (.13) | Sex x Injury = 6.78 (.01) Three-way Interaction = 6.07 (.01) |
Novel Context Mismatch | 3.78 (.05) | 4.59 (.03) | 4.02 (.04) | N/A |
Forced Swim | 8.09 (< .01) | 7.60 (.01) | 19.45 (< .01) | Sex x Caffeine = 3.95 (.05) |
Molecular analysis
See Table 2 for a summary of the three-way ANOVA results for the mRNA changes in the three different brain regions examined.
Table 2. Summary of the statistical results for the three-way ANOVAs for the 6 genes of interest in the PFC, HPC, and HYPO.
Brain Region | Gene | Effect of Sex:F(p) | Effect of Injury: F(p) | Effect of Caffeine: F(p) | Significant Interactions |
---|---|---|---|---|---|
Adora2a | 0.02 (.89) | 2.13 (.16) | 5.01 (.03) | N/A | |
PFC | App | 4.58 (.04) | 2.05 (.16) | 0.06 (.81) | Three-way interaction = 6.24 (.02) |
Aqp4 | 3.39 (.07) | 0.88 (.36) | 8.94 (< .01) | N/A | |
Bdnf | 6.47 (.02) | 7.12 (.01) | 0.31(.58) | N/A | |
Gfap | 0.21 (.66) | 5.80 (.02) | 22.55 (< .01) | Sex x Caffeine = 5.19 (.03) | |
Injury x Caffeine = 4.56 (.04) | |||||
Tau | 3.12 (.09) | 4.32 (.05) | 1.77 (.19) | N/A | |
Adora2a | 17.96 (< .01) | 3.21 (.08) | 0.14 (.72) | Injury x Caffeine = 7.66 (.01) | |
Three-way interaction = 6.94 (.01) | |||||
HPC | App | 0.03 (.96) | 1.23 (.28) | 0.14 (.71) | N/A |
Aqp4 | 0.01 (.93) | 0.77 (.39) | 7.22 (.01) | N/A | |
Bdnf | 0.01 (.98) | 4.15 (.05) | 4.56 (.04) | Injury x Caffeine = 4.17 (.05) | |
Gfap | 0.63 (.44) | 0.98 (.34) | 4.14 (.06) | N/A | |
Tau | 9.87 (< .01) | 1.52 (.23) | 1.82 (.19) | Sex x Caffeine = 7.14 (.01) | |
HYPO | App | 0.03 (.86) | 0.73 (.41) | 0.83 (.37) | Sex x Caffeine = 5.86 (.02) |
Bmal1 | 14.30 (< .01) | 17.72 (< .01) | 4.45 (.05) | Injury x Caffeine = 5.52 (.03) | |
Clock | 1.02 (.32) | 7.55 (.01) | 0.08 (.78) | Sex x Injury = 14.21 (< .01) | |
Cry | 0.39 (.54) | 3.50 (.07) | 0.37 (.55) | Three-way interaction = 4.28 (.05) | |
Orx1 | 1.98 (.17) | 0.11 (.75) | 1.16 (.29) | N/A | |
Orx2 | 0.07 (.80) | 0.41 (.53) | 8.97 (< .01) | Sex x Caffeine = 5.04 (.03) | |
Sex x Injury = 5.01 (.03) | |||||
Per | 24.45 (< .01) | 1.71 (.20) | 0.01 (.95) | N/A | |
Tau | 6.92 (.01) | 0.22 (.64) | 0.19 (.67) | Sex x Caffeine = 4.22 (.05) |
PFC: Graphical representation of the changes in the PFC can be found in Fig 3. The statistical F and p values are summarized in Table 2. Adora2A receptor expression showed a main effect for caffeine with animals in the caffeine groups showing reduced levels. App showed a main effect for sex with males having higher levels of expression and a sex by caffeine by injury interaction where App increased in the male caffeine RmTBI group, but decreased in the female group. Aqp4 expression showed main effect for caffeine with the caffeine groups showing decreased levels. Bdnf showed a main effect for sex with males showing higher levels of expression and a main effect for injury where male and female non-caffeine groups showed increases in expression following RmTBI. Gfap expression showed a main effect for injury where males and females in the non-caffeine groups showed reduced expression following RmTBI, a main effect for caffeine where caffeine groups showed lower expression, a significant sex by caffeine interaction and a significant injury by caffeine interaction. Expression of Tau showed a main effect of injury where males and females in both conditions showed increases in Tau following RmTBI.
HPC: Graphical representation of the changes in the HPC can be found in Fig 4. The statistical F and p values are summarized in Table 2. Adora2A receptor expression showed a main effect for sex with females showing lower levels, an injury by caffeine interaction and a sex by caffeine by injury interaction. Aqp4 expression showed a main effect for caffeine where male and female caffeine rats showed increased levels. Expression of Bdnf had a main effect from injury with males in females in the caffeine groups showing decreased expression following RmTBI, a main effect for caffeine with sham caffeine animals showing higher levels of expression and an injury by caffeine interaction. Expression of Tau showed a significant main effect for sex with females showing higher levels of expression and a sex by caffeine interaction where males in the caffeine group showed decreased expression compared to non-caffeine males, and the female caffeine group showed increased levels compared to non-caffeine females.
HYPO: Graphical representation of the changes in the HYPO can be found in Fig 5. The statistical F and p values are summarized in Table 2. App expression showed a sex by caffeine interaction. Bmal1 showed main effects of sex where males showed higher levels of expression, injury where non-caffeine male and female showed reductions in expression with RmTBI, caffeine, and a significant injury by caffeine interaction. Clock expression showed a main effect for injury with males showing reductions in expression following RmTBI in both non-caffeine and caffeine groups and a sex by injury interaction. Cry expression showed a sex by injury by caffeine interaction with all groups showing decreases in Cry following RmTBI except for the female caffeine group. Orx2 expression showed a main effect for caffeine with the caffeine groups showing decreased expression, a sex by caffeine interaction and a sex by injury interaction. Per expression showed a main effect for sex with females showing higher levels of expression. Tau expression showed a main effect of sex with female groups having higher expression in addition to a sex by caffeine interaction where caffeine reduced expression in males but increased it in females.
Histological analysis
Dentate Gyrus Granule Cell Layer Volume: The volume of the DG granule cell layer was not influenced by RmTBI, but was significantly reduced in male and female rats that consumed caffeine. The three-way ANOVA demonstrated a main effect of caffeine, F(1, 35) = 9.97, p < .01. None of the other main effects or interactions were significant, p’s > .05. See Fig 6A.
Ki67: When compared to females, males exhibited more Ki67 positive cells in the DG. In addition, caffeine exposure increased the number of Ki67 positive cells in males, but reduced the number of Ki67 cells in females. The three-way ANOVA demonstrated a main effect of sex, F(1, 35) = 5.24, p = .03 and a main effect of caffeine, F(1, 35) = 4.23, p = .04. There was also a significant sex x caffeine interaction, F(1, 35) = 6.41, p = .01. See Fig 6B and 6D.
Iba1: Rats exposed to chronic caffeine exhibited a reduction in the number of Iba1 positive cells in the HYPO. Additionally, RmTBI increased the number of Iba1 positive cells in males but not females. The three-way ANOVA demonstrated a main effect of caffeine, F(1, 36) = 4.54, p = .04, and main effect of injury, F(1, 36) = 6.60, p = .01. There was also a significant sex x injury interaction, F(1, 36) = 5.40, p = .02. See Fig 6C and 6E.
Discussion
The influence of caffeine on behavioral recovery following RmTBI
Individuals that experience RmTBI often exhibit poorer outcomes [43], but adolescence is a particularly vulnerable window whereby the magnitude and duration of symptoms is inversely related to age [44]. What’s more, caffeine intake has exponentially increased in this population [45, 46]. Although stimulants like caffeine enhance cognitive performance, auditory vigilance, and reaction times [45], they also reduce the brain’s potential for future plasticity [47], and disrupt normal sleep function [48, 49]; two neurological properties needed for recovery from TBI. Therefore, this study examined the effects of adolescent caffeine use on recovery from RmTBI and the susceptibility to post-traumatic symptomology. We found that for males, the negative effects of caffeine and RmTBI were often additive (open field, NCM, and Force Swim), whereby rats that received both had worse outcomes when compared to those that either had caffeine or RmTBI. Conversely, for females, RmTBI and caffeine were equally disruptive. In many of the behavioral measures examined (open field, EPM, and NCM) females with RmTBI were indistinguishable from females exposed to caffeine, with both exhibiting significant impairment when compared to their control counterparts. This suggests that not only are there are sex differences in the way that caffeine interacts with typical brain development; sex also modifies the interaction between caffeine and recovery from RmTBI during this important period of maturation. Sex differences are not surprising, as studies with human populations have demonstrated caffeine to be neuroprotective for Parkinson’s Disease in adult males but not females [50], with follow-up studies in mice indicating that estrogen may actually block the neuroprotective properties of caffeine [51]. While these rats were tested before sexual maturation, sex differences in brain development [52, 53], epigenetic programming [54, 55], and injury response [56–58], are likely modifying caffeine’s effect on the outcomes measured here. Although cognitive effects of TBI and caffeine consumption in youth have not been examined, poor behavioral regulation and performance on executive function tasks like the NCM have been reported in adolescent populations with high caffeine consumption rates [59]. While caffeine’s ability to serve as a therapeutic agent for spinal cord injury, stroke, and neurodegeneration in adults is gaining traction (for review see [60]), the behavioral results from this study suggest that adolescence may represent a unique window of development whereby caffeine exposure is actually detrimental to recovery.
Caffeine, RmTBI, and changes in gene expression
It has been proposed that RmTBI symptoms result from rapid changes in ionic concentrations and excitatory neurotransmission that increase metabolic demands, change cerebral blood flow, and alter intracranial pressure [2, 61]. Given that these physiological changes would in turn modify gene expression and subsequent protein production, we examined expression changes in 12 genes in the PFC, HPC, and HYPO that we predicted would influence the pathological outcomes associated with early life caffeine exposure and RmTBI. We will begin with a discussion of the PFC. The arousal promoting aspects of caffeine are believed to result from antagonism of adenosine receptors, specifically Adora2a [62]. As would therefore be expected, chronic caffeine exposure reduced expression of Adora2a in the PFC. Although caffeine and other adenosine receptor antagonists are believed to be neuroprotective [63], caffeine did not reduce markers of neurological damage such as App, Gfap, or Tau following RmTBI in this model. In addition, therapeutic recovery and restoration of cognitive function following TBI has been linked to up-regulation of growth factors such as Bdnf [64]. Animals in the control group, but not the caffeine group, exhibited an increase in PFC Bdnf expression following the RmTBIs, which may contribute to the lack of recovery identified in these animals.
With respect to the HPC, work in adolescent rats has shown that moderate to high doses of caffeine improved object recognition but also produced anxiogenic effects, decreased density of Gfap, and increased Bdnf [65]. While we also noted caffeine induced increases in hippocampal Bdnf in sham animals, we did not identify significant changes in Gfap expression or find improved cognitive abilities. Chronic caffeine has been shown to increase CSF production [66] and Aqp4 is known to play a role in the reabsorption of fluid in the brain and prevent edema [67], suggesting that the increased expression of Aqp4 in the HPC of adolescent rats exposed to caffeine may have been a compensatory response to increased CSF flow through the ventricles. Interestingly, and similar to studies examining tau pathology in neurodegenerative diseases, caffeine reduced Tau expression in the HPC males, but not females [51, 60]. In female sham animals exposed to caffeine, Tau expression actually increased, suggesting that caffeine has adverse effects on the developing brain.
Given that both caffeine and TBI are known to disrupt normal sleep-wake patterns, we also sought to examine changes in expression of circadian clock genes in the hypothalamus. The typical transcriptional feedback loop of gene expression comprising Clock-Bmal1 and Per-Cry constitutes the core circadian clock and generates 24 hr daily rhythms. Caffeine is known to modify circadian rhythms [68, 69] and alter expression patterns of genes such as Bmal1, Clock, Cry, and Per in the liver and intestine [70]. Similarly, moderate TBI dysregulates expression of Bmal1 and Cry, and concurrent circadian locomotor activity, suggesting that altered clock gene expression may underlie the sleep disturbances associated with many brain injuries [71]. In this study we found that hypothalamic expression of Bmal1, Clock, Cry, and Orx2, were modified by both caffeine exposure and RmTBI. Although we did not measure sleep patterns in these animals, the gene expression results suggest that alterations to circadian rhythms is likely. In addition, with the exception of Orx1, all of the genes examined in the HYPO exhibited sex-dependent changes in expression, providing further support to the notion that the pathophysiological response of males and females to caffeine and RmTBI differs significantly.
RmTBI, caffeine and histological measures
In an effort to understand the pathophysiological changes associated with caffeine exposure and RmTBI in adolescent rats we examined 3 histological measures; DG granule cell layer volume, neuronal proliferation in the DG (Ki67), and microglia activation in the lateral hypothalamus (Iba1). Interestingly, RmTBI did not affect DG granule cell layer volume or the number of Ki67 positive cells in our adolescent rats, but caffeine exposure did. The absence of DG granule cell layer volume reductions following RmTBI was similar to advanced MRI findings in our laboratory that demonstrated no hippocampal volume loss in adolescent rats using this model [72]. These results do however conflict with a recent study in adult rats that found reductions in hippocampal volume following RmTBI [73]; albeit this paradigm may have been more severe, inducing 10 injuries over 10 consecutive days. To our knowledge, there has been little investigation into changes in neuronal proliferation and Ki67 positive cells following mild TBI. However, literature regarding moderate and severe TBI has demonstrated subsequent suppression of proliferating cells (Ki-76 positive) [74, 75]. Although it is possible that the diffuse injuries induced with this model of mild TBI do not disrupt neuronal proliferation in the DG, it is also possible that the lack of RmTBI-induced changes in Ki67 expression are associated with the timing of our sampling, as 20 days post-injury allows for significant recovery.
With respect to caffeine exposure, we found significant decreases in DG granule cell layer volume in both male and female rats. Clinical studies regarding caffeine consumption and hippocampal volume are somewhat inconsistent, with some demonstrating chronic caffeine exposure reduces hippocampal volume [76], and others finding increased hippocampal volume [77]. Animal studies have not examined DG volume, but studies with adult rats have found increased dendritic arborization in the hippocampus following chronic caffeine consumption [78]. In addition, we found that caffeine exposure increased the number of Ki67 positive cells in males, but not females. Previous studies have reported that chronic caffeine consumption reduced BrdU positive cells in the DG in adult rats suggesting reductions in hippocampal neurogenesis [79]. Caffeine has also been shown to be neuroprotective and prevent reductions in Ki67 positive cells in neonatal rats exposed to hyperoxia [80], and in an aged rats modeling Alzheimer’s Disease [34], but there is little evidence to suggest increased Ki67 positive cells following caffeine consumption. It is possible that the differential rates of caffeine clearance and metabolism in adolescent versus adult rats [81] is influencing the neuropathophysiological response to caffeine and in turn generating results that conflict with previous literature (most of which is obtained from much older rats).
Both RmTBI and caffeine exposure modified the number of Iba1 positive cells, an immunohistochemical marker of microglial activation [82], in the ventromedial hypothalamus. As demonstrated in the sex by injury interaction, the number of Iba1+ cells were significantly increased in all males that experienced RmTBI, but not in either group of injured females. Given that microglia act as the primary defense mechanism for the brain, scavenging for damage and other pathological changes, RmTBI-induced increases in microglia activation are expected. It is therefore somewhat surprising that females did not exhibit any increases in Iba1 positive cells in response to injury. However, it has also been suggested that caffeine may directly reduce microglia activation by blocking their adenosine receptors [83]. The results for females in this study support this finding, as both sham and RmTBI females chronically exposed to caffeine, exhibited reductions in Iba1 positive cells. The differences identified in Iba1 expression for males and females may reflect fundamental sex differences in injury trajectories and neurological effects of caffeine.
Conclusions
This study found that chronic caffeine consumption in adolescence altered normal developmental trajectories, as well as recovery from RmTBI. Similar to previous findings in our laboratory [10, 58], many outcomes exhibited sex-dependent responses whereby the sex of the animal modified response to caffeine, RmTBI, and the combination of the two. It is important to note that many studies have demonstrated neuroprotective properties of caffeine, which is contradictory to our findings. We believe that age is a primary contributor to these discrepancies in study results. In contrast to adults, chronic stimulation of the developing brain may not be helpful and may actually have negative consequences. Given the exponential rise in caffeine consumption in adolescents, their increased risk of RmTBI, and the significant amount of brain maturation that is occurring during this time period, these adverse findings warrant further investigation. In addition, future studies should examine sleep wake cycles in these animals, as poor sleep may be contributing to the symptom exacerbation we identified in our caffeine group. Taken together however, these results suggest that caffeine consumption in adolescents at high risk for RmTBI should be monitored, and studies should assess this relationship in clinically relevant populations.
Acknowledgments
The authors would like to thank the Integrated Concussion Research Program at the University of Calgary, the Alberta Children’s Hospital Research Institute, and the O’Brien Summer Studentship Foundation for their financial support. The authors would also like to thank Melinda Wang and Rose Tobias for their technical support.
Data Availability
All of the raw data for this study can be found at: Mychasiuk, Richelle, 2017, "Behavioral and Pathophysiological Outcomes Associated with Caffeine Consumption and Repetitive Mild Traumatic Brain Injury (RmTBI) in Adolescent Rats", doi:10.5683/SP/8RODEV, Scholars Portal Dataverse https://dataverse.scholarsportal.info/dataset.xhtml?persistentId=doi:10.5683/SP/8RODEV.
Funding Statement
Financial support from the Integrated Concussion Research Program at the University of Calgary, the Alberta Children’s Hospital Research Institute, and the O’Brien Summer Studentship Foundation. No Grant Numbers Available.
References
- 1.Selassie AW, Wilson DA, Pickelsimer EE, Voronca DC, Williams NR, Edwards JC. Incidence of sport-related traumatic brain injury and risk factors of severity: a population-based epidemiologic study. Ann Epidemiol. 2013;23(12):750–6. doi: 10.1016/j.annepidem.2013.07.022 ; PubMed Central PMCID: PMCPMC4021712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Shrey DW, Griesbach GS, Giza CC. The pathophysiology of concussions in youth. Phys Med Rehabil Clin N Am. 2011;22(4):577–602, vii. doi: 10.1016/j.pmr.2011.08.002 ; PubMed Central PMCID: PMCPMC3211100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Howell D, Osternig L, van Donkelaar P, Mayr U, Chou L. Effects of concussion on attention and executive funciton in adolescents. Med Sci Sports Exerc. 2013;45(6):1030–7. doi: 10.1249/MSS.0b013e3182814595 [DOI] [PubMed] [Google Scholar]
- 4.Rose SC, Weber KD, Collen JB, Heyer GL. The diagnosis and management of concussion in children and adolescents. Pediatric Neurology. 2015;53:108–18. doi: 10.1016/j.pediatrneurol.2015.04.003 [DOI] [PubMed] [Google Scholar]
- 5.Vynorius KC, Paquin AM, Seichepine DR. Lifetime Multiple Mild Traumatic Brain Injuries Are Associated with Cognitive and Mood Symptoms in Young Healthy College Students. Front Neurol. 2016;7:188 doi: 10.3389/fneur.2016.00188 ; PubMed Central PMCID: PMCPMC5086577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Abbas K, Shenk TE, Poole VN, Breedlove EL, Leverenz LJ, Nauman EA, et al. Alteration of default mode network in high school football athletes due to repetitive subconcussive mild traumatic brain injury: a resting-state functional magnetic resonance imaging study. Brain Connect. 2015;5(2):91–101. doi: 10.1089/brain.2014.0279 . [DOI] [PubMed] [Google Scholar]
- 7.Breedlove EL, Robinson M, Talavage TM, Morigaki KE, Yoruk U, O'Keefe K, et al. Biomechanical correlates of symptomatic and asymptomatic neurophysiological impairment in high school football. J Biomech. 2012;45(7):1265–72. doi: 10.1016/j.jbiomech.2012.01.034 . [DOI] [PubMed] [Google Scholar]
- 8.Gysland SM, Mihalik JP, Register-Mihalik JK, Trulock SC, Shields EW, Guskiewicz KM. The relationship between subconcussive impacts and concussion history on clinical measures of neurologic function in collegiate football players. Ann Biomed Eng. 2012;40(1):14–22. doi: 10.1007/s10439-011-0421-3 . [DOI] [PubMed] [Google Scholar]
- 9.Hehar H, Yu K, Ma I, Mychasiuk R. Paternal age and diet: The contribution of a father's experience to susceptibility for post-concussion symptomology. Neuroscience. 2016;332:61–75. doi: 10.1016/j.neuroscience.2016.06.039 [DOI] [PubMed] [Google Scholar]
- 10.Yamakawa G, Salberg S, Barlow K, Brooks B, Esser MJ, Yeates K, et al. Manipulating cognitive reserve: Pre-injury environmental conditions influence the severity of concussion symptomology, gene expression, and response to melatonin treatment in rats. Experimental Neurology. 2017;295:55–65. doi: 10.1016/j.expneurol.2017.06.001 [DOI] [PubMed] [Google Scholar]
- 11.Harnack L, Stang J, Story M. Soft drink consumption among US children and adolescents: nutritional consequences. J Am Diet Assoc. 1999;99:436–41. doi: 10.1016/S0002-8223(99)00106-6 [DOI] [PubMed] [Google Scholar]
- 12.Aepli A, Kurth S, Tesler N, Jenni O, Huber R. Caffeine consuming children and adolescents show altered sleep behaviour and deep sleep. Brain Science. 2015;5:441–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.McCrory C, White C, Bowman C, Fenton N, Reid J, Hammond D. Perceptions of knowledge of caffeinated energy drinks: results of focus groups with Canadian youth. Journal of Nutrition Education and Behaviour. 2017;49:304–9. [DOI] [PubMed] [Google Scholar]
- 14.Behrens M, Mau-Moeller A, Weippert M, Fuhrmann J, Wegner K, Skripitz R, et al. Caffeine induced increase in voluntary activation and strength of the quadriceps muscle during isometric, concentric and eccentric contractions. Scientific Reports 2015;5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Bloms L, Fitzgerald J, Short M, Whitehead J. The effects of caffeine on vertical jump height and execution in collegiate athletes. Journal of Strenght and Conditioning Research. 2016;30:1855–61. [DOI] [PubMed] [Google Scholar]
- 16.Nowak D, Jasionowski A. Analysis of consumption of energy drinks by a group of adolescent athletes. Int J Env Res Public Health. 2016;13(8):E768. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Ballesteros-Yanez I, Castillo C, Amo-Salas M, Albasanz J, Martin M. Differential effect of caffeine consumption on diverse brain areas of pregnant rats. Journal of Caffeine Research. 2012;2(2):90–8. doi: 10.1089/jcr.2012.0011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Cognato G, Agostinho P, Hockemeyer J, Muller C, Souza D, Cunha R. Caffeine and an adenosine A2a receptor antagonist prevent memory impairment and synaptotoxicity in adult rats triggered by a convulsive episode in early life. J Neurochem. 2010;112:453–62. doi: 10.1111/j.1471-4159.2009.06465.x [DOI] [PubMed] [Google Scholar]
- 19.Mychasiuk R, Hehar H, Candy S, Ma I, Esser MJ. The direction of the acceleration and rotational forces associated with mild traumatic brain injury in rodents effect behavioural and molecular outcomes. J Neurosci Methods. 2016;257:168–78. doi: 10.1016/j.jneumeth.2015.10.002 . [DOI] [PubMed] [Google Scholar]
- 20.Viano DC, Hamberger A, Bolouri H, Saljo A. Concussion in professional football: animal model of brain injury—part 15. Neurosurgery. 2009;64(6):1162–73; discussion 73. doi: 10.1227/01.NEU.0000345863.99099.C7 . [DOI] [PubMed] [Google Scholar]
- 21.Mychasiuk R, Farran A, Esser MJ. Assessment of an experimental rodent model of pediatric mild traumatic brain injury. J Neurotrauma. 2014;31(8):749–57. doi: 10.1089/neu.2013.3132 . [DOI] [PubMed] [Google Scholar]
- 22.Ryan L, Warden D. Post concussion syndrome. Int Rev Psychiat. 2003;15:310–6. [DOI] [PubMed] [Google Scholar]
- 23.Schallert T, Woodlee M, Fleming S . Disentangling multiple types of recovery from brain injury In: Krieglstein J, Klumpp S, editors. Pharmacology of Cerebral Ischemia. Stuttgart: Medpharm Scientific Publishers; 2002. p. 201–16. [Google Scholar]
- 24.Whishaw I, Kolb B. The behavior of the laboratory rat: A handbook with tests New York, NY: Oxford University Press; 2005. [Google Scholar]
- 25.Walf AA, Frye CA. Th e use of the elevated plus maze as an assay of anxiety-related behavior in rodents. Nat Protoc. 2007;2(2):322–8. doi: 10.1038/nprot.2007.44 ; PubMed Central PMCID: PMCPMC3623971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Spanswick SC, Sutherland RJ. Object/context-specific memory deficits associated with loss of hippocampal granule cells after adrenalectomy in rats. Learn Mem. 2010;17(5):241–5. doi: 10.1101/lm.1746710 ; PubMed Central PMCID: PMCPMC2893217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Yadid G, Overstreet D, Zangen A. Limbic dopaminergic adaptation to a stressful stimulus in a rat model of depressino. Brain Res. 2001;896:43–7. [DOI] [PubMed] [Google Scholar]
- 28.Bonefeld BE, Elfving B, Wegener G. Reference genes for normalization: a study of rat brain tissue. Synapse. 2008;62(4):302–9. doi: 10.1002/syn.20496 . [DOI] [PubMed] [Google Scholar]
- 29.Pfaffl MW. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001;29(9):e45 ; PubMed Central PMCID: PMCPMC55695. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Chen J, Sonsalla P, Pedata F, Melani A, Domenici M, Popoli P, et al. Adenosine A2a receptors and brain injury: Broad spectrum of neuroprotection, multifaceted actions, and 'fine tuning' modulation. Progress in Neurobiology. 2007;83:310–31. doi: 10.1016/j.pneurobio.2007.09.002 [DOI] [PubMed] [Google Scholar]
- 31.Itoh T, Satou T, Nishida S, Tsubaki M, Hashimoto S, Ito H. Expression of amyloid precursor protein after rat traumatic brain injury. Neurological Research. 2009;31(1):103–9. doi: 10.1179/016164108X323771 [DOI] [PubMed] [Google Scholar]
- 32.Qosa H, Abuznait A, Hill R, Kaddoumi A. Enhanced brain amyloid-B clearance by rifampicin and caffeine as a possible protective mechanism against Alzheimer's disease. J Alzheimer's Dis. 2012;31(1):151–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Zhao J, Moore A, Clifton G, Dash P. Sulforaphane enhances aquaporin-4 expression and decreases cerebral edema following traumatic brain injury. J Neurosci Res. 2005;82(4):499–506. doi: 10.1002/jnr.20649 [DOI] [PubMed] [Google Scholar]
- 34.Ghoneim F, Khalaf H, Elsamanoudy A, El-Khair A, Helaly A, Mahmoud e, et al. Protective effect of chronic caffeine intake on gene expression of brain derived neurotrophic factor signalling and the immunoreactivity of glial fibrillary acidic protein and Ki-67 in Alzheimer's disease. International Journal of Clinical and Experimental Pathology. 2015;8(7):7710–28. [PMC free article] [PubMed] [Google Scholar]
- 35.Griesbach G, Hovda D, Gomez-Pinilla F. Exercise-induced improvement in cognitive performance after traumatic brain injury in rats is dependent on BDNF activation. Brain Res. 2009;1288:105–15. doi: 10.1016/j.brainres.2009.06.045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Wu A, Ying Z, Gomez-Pinilla F. Dietary omego-3 fatty acids normalize BDNF levels, reduce oxidative damage, and counteract learning disability after traumatic brain injury in rats. J Neurotrau. 2004;21(10):1457–67. [DOI] [PubMed] [Google Scholar]
- 37.Kamphuis W, Mamber C, Moeton M, Kooijman L, Sluijs J, Jansen A, et al. GFAP isoforms in adult mouse brain with a focus on neurogenic astrocytes and reactive astrogliosis in mouse models of Alzheimer Disease. PLoS ONE. 2012;7(8):e42823 doi: 10.1371/journal.pone.0042823 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Metting Z, Wilczak N, Rodiger LA, Schaaf J, van der Naalt J. GFAP and S100B in the acute phase of mild traumatic brain injury. Neurology 2012;78:1428–33. doi: 10.1212/WNL.0b013e318253d5c7 [DOI] [PubMed] [Google Scholar]
- 39.Gabbita S, Scheff S, Menard R, Roberts K, Fugaccia I, Zemlan F. Cleaved-Tau: A biomarker of neuronal damage after traumatic brain injury. J Neurotrau. 2005;22(1):83–94. [DOI] [PubMed] [Google Scholar]
- 40.Ojo JO, Mouzon B, Algamal M, Leary P, Lynch C, Abdullah L, et al. Chronic Repetitive Mild Traumatic Brain Injury Results in Reduced Cerebral Blood Flow, Axonal Injury, Gliosis, and Increased T-Tau and Tau Oligomers. J Neuropathol Exp Neurol. 2016;75(7):636–55. doi: 10.1093/jnen/nlw035 ; PubMed Central PMCID: PMCPMC4913432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Minen MT, Boubour A, Walia H, Barr W. Post-Concussive Syndrome: a Focus on Post-Traumatic Headache and Related Cognitive, Psychiatric, and Sleep Issues. Curr Neurol Neurosci Rep. 2016;16(11):100 doi: 10.1007/s11910-016-0697-7 . [DOI] [PubMed] [Google Scholar]
- 42.Boone DR, Sell SL, Micci MA, Crookshanks JM, Parsley M, Uchida T, et al. Traumatic brain injury-induced dysregulation of the circadian clock. PLoS One. 2012;7(10):e46204 doi: 10.1371/journal.pone.0046204 ; PubMed Central PMCID: PMCPMC3463592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Guskiewicz K, Marshall L. Association between recurrent concussion and late-life cognitive impairment in retired professional football players. Neurosurgery. 2005;57:719–26. [DOI] [PubMed] [Google Scholar]
- 44.Prins M, Hales A, Reger M, Giza C, Hovda D. Repeat traumtic brain injury in the juvenile rat is associated with increased axonal injury and cognitive impairments. Developmental Neuroscience. 2010;32:510–8. doi: 10.1159/000316800 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Temple J. Caffeine use in children: What we know, what we have left to learn, and why we should worry. Neuroscience and Biobehavioral Reviews. 2009;33:793–806. doi: 10.1016/j.neubiorev.2009.01.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Lakhan S, Kirchgessner A. Prescription stimulants in individuals with and without attention deficit hyperactivity disorder: Misuse, cognitive impact, and adverse effects. Brain and Behavior. 2012;2(5):661–77. doi: 10.1002/brb3.78 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Kolb B, Gorny G, Li Y, Samaha A, Robinson T. Amphetamine or cocaine limits the ability of later experience to promote structural plasticity in the neocortex and nucleus accumbens. Proceedings of the National Academy of Sciences. 2003;100(18):10523–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Landolt H, Retey J, Tonz K, Gottselig J, Khatami R, Buckelmuller I, et al. Caffeine attenuates waking and sleep electrocephalographic markers of sleep homeostasis in humans. Neuropsychopharmacology. 2004;29:1933–9. doi: 10.1038/sj.npp.1300526 [DOI] [PubMed] [Google Scholar]
- 49.Lohsoonthorn V, Khidir H, Casillas G, Lertmaharit S, Tadesse M, Pensuksan W, et al. Sleep quality and sleep patterns in relation to consumption of energy drinks, caffeinated beverages, and other stimulants among Thai college students. Sleep and Breathing. 2013;17:1017–28. doi: 10.1007/s11325-012-0792-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Benedetti M, Bower J, Maraganore D, McDonnell S, Peterson B, Ahlskog J, et al. Smoking, alcohol, and coffee consumption preceding Parkinson's disease: A case-control study. Neurology. 2000;55:1350–8. [DOI] [PubMed] [Google Scholar]
- 51.Xu K, Xu Y, Brown-Jermyn D, Chen J, Ascherio A, Dluzen D, et al. Estrogen prevents neuroprotection by caffeine in the mouse 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine model of Parkinson's Disease. J Neurosci. 2006;26(2):535–41. doi: 10.1523/JNEUROSCI.3008-05.2006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Paus T, Zijdenbos A, Worsley K, Collins DL, Blumenthal J, Giedd J, et al. Structural maturation of neural pathways in children and adolescents: In Vivo study. Science. 1999;283:1908–11. [DOI] [PubMed] [Google Scholar]
- 53.De Bellis M, Keshavan M, Beers S, Hall J, Frustaci K, Masalehdan A, et al. Sex differences in brain maturation during childhood and adolescence. Cerebral Cortex. 2001;11(6):552–7. [DOI] [PubMed] [Google Scholar]
- 54.Dunn G, Morgan CP, Bale T. Sex-specificity in transgenerational epigenetic programming. Hormones and Behavior. 2011;59:290–5. doi: 10.1016/j.yhbeh.2010.05.004 [DOI] [PubMed] [Google Scholar]
- 55.McCarthy M, Auger A, Bale T, De Vries G, Dunn G, Forger N, et al. The epigenetics of sex differences in the brain. J Neurosci. 2009;29(41):12815–23. doi: 10.1523/JNEUROSCI.3331-09.2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Broshek D, Kaushik T, Freeman J, Erlanger D, Webbe F, Barth J. Sex differences in outcome following sports-related concussion. J Neurosurg. 2012;102:856–63. [DOI] [PubMed] [Google Scholar]
- 57.Covassin T, Schatz P, Swanik B. Sex differences in neuropsychological function and post-concussion symptoms of concussed collegiate athletes. Neurosurgery. 2007;61(2):345–51. doi: 10.1227/01.NEU.0000279972.95060.CB [DOI] [PubMed] [Google Scholar]
- 58.Wright D, O'Brien T, Shultz SR, Mychasiuk R. Sex matters: Repetitive mild traumatic brain injury in adolescent rats. Annals of Clinical and Translational Neurology. 2017;Online first July 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Van Battenburg-Eddes T, Lee N, Weeda W, Krabbendam L, Huizinga M. The potential adverse effect of energy drinks on executive funtions in early adolescence. Frontiers in Psychology. 2014;5:457 doi: 10.3389/fpsyg.2014.00457 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Rivera-Oliver M, Diaz-Rios M. Using caffeine and other adenosine receptor antagonists and agonists as therapeutic tools agains neurodegenerative diseases: A review. Life Sciences. 2014;101(1–2):1–9. doi: 10.1016/j.lfs.2014.01.083 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Reddy CC, Collins MW, Gioia GA. Adolescent sports concussion. Phys Med Rehabil Clin N Am. 2008;19(2):247–69, viii. doi: 10.1016/j.pmr.2007.12.002 . [DOI] [PubMed] [Google Scholar]
- 62.Huang H, Zhang J, Wakana S, Zhang W, Ren T, Richards L, et al. White and gray matter development in human fetal, newborn and pediatric brains. NeuroImage. 2006;33:27–38. doi: 10.1016/j.neuroimage.2006.06.009 [DOI] [PubMed] [Google Scholar]
- 63.Pintor A, Galluzzo M, Grieco R, Pezzola A, Reggio R, Popoli P. Adenosine A 2A receptor antagonists prevent the increase in striatal glutamate levels induced by glutamate uptake inhibitors. J Neurochem. 2004;89:152–6. doi: 10.1111/j.1471-4159.2003.02306.x [DOI] [PubMed] [Google Scholar]
- 64.Wu H, Lu D, Jiang H, Xiong Y, Qu C, Li B, et al. Simvastatin-mediated upregulation of VEGF and BDNF, activation of the PI3K/Akt pathway, and increase in neurogenesis are associated with therapeutic improvement after traumatic brain injury. J Neurotrau. 2008;25(2):130–9. [DOI] [PubMed] [Google Scholar]
- 65.Ardais A, Borges M, Rocha A, Sallaberry C, Cunha R, Porciuncula L. Caffeine triggers behavioral and neurochemical alterations in adolescent rats. Neuroscience. 2014;270(27–39). doi: 10.1016/j.neuroscience.2014.04.003 [DOI] [PubMed] [Google Scholar]
- 66.Han M, Kim H, Lee Y, Kim D, Choi J, Pan C, et al. Regulation of cerebrospinal fluid production by caffeine consumption. BMC Neuroscience. 2009;10:110 doi: 10.1186/1471-2202-10-110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Papadopoulos M, Manley G, Krishna S, Verkman A. Aquaporin-4 facilitates reabsorption of excess fluid in vasogenic brain edema. The FASEB Journal. 2004;18(11):1291–3. doi: 10.1096/fj.04-1723fje [DOI] [PubMed] [Google Scholar]
- 68.Oike H, Kobori M, Suzuki T, Ishida N. Caffeine lengthens circadian rhythms in mice. Biochemical and Biophysical Research Communications. 2011;410(3):654–8. doi: 10.1016/j.bbrc.2011.06.049 [DOI] [PubMed] [Google Scholar]
- 69.Burke T, Markwald R, McHill A, Chinoy E, Snider J, Bessman S, et al. Effects of caffeine on the human circadian clock in vivo and in vitro. Science Translational Medicine. 2015;7(305):305ra146 doi: 10.1126/scitranslmed.aac5125 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Sherman H, Gutman R, Chapnik N, Meylan J, leCoutre J, Froy O. Caffeine alters circadian rhythms and expression of disease and metabolic markers. International Journal of Biochemical Cell Biology. 2011;43(5):829–38. [DOI] [PubMed] [Google Scholar]
- 71.Boone D, Sell S, Micci M, Crookshanks J, Parsley M, Uchida T, et al. Traumatic brain injury-induced dysregulation of the circadian clock. PLoS ONE. 2012;7(10):e46204 doi: 10.1371/journal.pone.0046204 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Wright D, Mychasiuk R, Shultz SR. Telomere length and diffusion MRI as biomarkers for experimental mild traumatic brain injury. Neurobiology of Disease. In Submission. [Google Scholar]
- 73.Qin Y, Li GL, Xu XH, Sun ZY, Gu JW, Gao FB. Brain structure alterations and cognitive impairment following repetitive mild head impact: An in vivo MRI and behavioral study in rat. Behav Brain Res. 2016. doi: 10.1016/j.bbr.2016.08.008 . [DOI] [PubMed] [Google Scholar]
- 74.Rola R, Mizumatsu S, Otsuka S, Morhardt D, Noble-Haeusslein L, Fishman K, et al. Alterations in hippocampal neurogenesis following traumatic brain injury. Experimental Neurology. 2006;202(1):189–99. doi: 10.1016/j.expneurol.2006.05.034 [DOI] [PubMed] [Google Scholar]
- 75.Acosta S, Tajiri N, Shinozuka K, Ishikawa H, Grimmig B, Diamond D, et al. Long-term upregulation of inflammation and supression of cell proliferation in the brain of adult rats exposed to traumatic brain injury using the controlled cortical impact model. PLoS ONE. 2013;8(1):e53376 doi: 10.1371/journal.pone.0053376 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Fortunato A, Mirza S, Bos D, Niessen W, Barreto S, van der Lugt A, et al. Association of coffee consumption with MRI markers and cognitive function: A population-based study. J Alzheimer's Dis. 2016;53(2):451–61. [DOI] [PubMed] [Google Scholar]
- 77.Perlaki G, Orsi G, Kovacs N, Schwarcz A, Pap Z, Kalmar Z, et al. Coffee consumption may influence hippocampal volume in young women. Brain Imagin Beh. 2011;5(4):278–84. [DOI] [PubMed] [Google Scholar]
- 78.Vila-Luna S, Cabrera-Isidoro S, Vila-Luna L, Juarez-Diaz I, Bata-Garcia J, Alvarez-Cervera F, et al. Chronic caffeine consumption prevents cognitive decline from young to middle age in rats, and is associated with increased length, branching, and spine density of basal dendrites in CA1 hippocampal neurons. Neuroscience. 2012;202:384–95. doi: 10.1016/j.neuroscience.2011.11.053 [DOI] [PubMed] [Google Scholar]
- 79.Han M, Park K, Baek S, Kim B, Kim J, Kim H, et al. Inhibitory effects of caffeine on hippocampal neurogenesis and function. Biochemical and Biophysical Research Communications. 2007;356:976–80. doi: 10.1016/j.bbrc.2007.03.086 [DOI] [PubMed] [Google Scholar]
- 80.Endesfelder S, Zaak I, Weichelt U, Buhrer C, Schmitz T. Caffeine protects neuronal cells against injury caused by hyperoxia in the immature brain. Free Radical Biology and Medicine. 2014;67:221–34. doi: 10.1016/j.freeradbiomed.2013.09.026 [DOI] [PubMed] [Google Scholar]
- 81.Latini R, Bonati M, Marzi E, Tacconi M, Sadurska B, Bizzi A. Caffeine disposition and effects in young and one-year-old rats. J Pharm Pharmacol. 1980;32(8):569–99. [DOI] [PubMed] [Google Scholar]
- 82.Itoab D, Imaia Y, Ohsawaa K, Najakimaa K, Fukuuchib Y, Kohsakaa S. Microglia-specific localisation of a novel calcium binding protein, Iba1. Molecular Brain Research. 1998;57(1):1–9. [DOI] [PubMed] [Google Scholar]
- 83.Brothers H, Marchalant Y, Wenk G. Caffeine attenuates lipopolysaccharide-induced neuroinflammation. Neuroscience Letters. 2010;480(2):97–100. doi: 10.1016/j.neulet.2010.06.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All of the raw data for this study can be found at: Mychasiuk, Richelle, 2017, "Behavioral and Pathophysiological Outcomes Associated with Caffeine Consumption and Repetitive Mild Traumatic Brain Injury (RmTBI) in Adolescent Rats", doi:10.5683/SP/8RODEV, Scholars Portal Dataverse https://dataverse.scholarsportal.info/dataset.xhtml?persistentId=doi:10.5683/SP/8RODEV.