Abstract
Teen binge drinking is associated with low frontal white matter integrity and increased risk of alcoholism in adulthood. This neuropathology may result from alcohol exposure or reflect a pre-existing condition in people prone to addiction. Here we used rodent models with documented clinical relevance to adolescent binge drinking and alcoholism in humans to test whether alcohol damages myelinated axons of the prefrontal cortex. In Experiment 1, outbred male Wistar rats self-administered sweetened alcohol or sweetened water intermittently for 2 weeks during early adolescence. In adulthood, drinking behavior was tested under nondependent conditions or after dependence induced by 1 month of alcohol vapor intoxication/withdrawal cycles, and prefrontal myelin was examined 1 month into abstinence. Adolescent binge drinking or adult dependence induction reduced the size of the anterior branches of the corpus callosum, i.e., forceps minor (CCFM), and this neuropathology correlated with higher relapse-like drinking in adulthood. Degraded myelin basic protein in the gray matter medial to the CCFM of binge rats indicated myelin was damaged on axons in the mPFC. In follow-up studies we found that binge drinking reduced myelin density in the mPFC in adolescent rats (Experiment 2) and heavier drinking predicted worse performance on the T-maze working memory task in adulthood (Experiment 3). These findings establish a causal role of voluntary alcohol on myelin and give insight into specific prefrontal axons that are both sensitive to alcohol and could contribute to the behavioral and cognitive impairments associated with early onset drinking and alcoholism.
Introduction
Adolescence is a period of heightened vulnerability when teenagers engage in high-risk activities like binge drinking (Romer, 2010) as the frontal lobes undergo developmental processes including axonal myelination (Barnea-Goraly, 2005). Myelination increases conductance speed in axons and enhances information processing and cognitive performance (Blakemore and Choudhury, 2006). If prefrontal fiber tracts are sensitive to alcohol exposure during this time of plasticity, drinking could significantly impair the social and mental health trajectories of teenagers because the prefrontal cortices are responsible for evaluating reward (Taren et al., 2011) and regulating risk-taking behavior (Crone et al., 2008).
Early onset of alcohol use predicts increased impulsivity (Stephens and Duka, 2008), cognitive performance impairments (Konrad et al., 2012), and alcoholism in adulthood (Grant and Dawson, 1998). Heavy episodic (binge) drinking is related to lower white matter integrity in the corpus callosum (CC) of teenagers (McQueeny et al., 2009) and in alcoholic adults (Pfefferbaum et al., 2006). The link between reduced white matter and increased addiction vulnerability in humans suggests alcohol exposure may damage myelin. Alternatively, predisposing factors could explain the relationship between adolescent drinking and frontal white matter.
The present study tested the hypothesis that alcohol damages CC myelin tracts within the PFC. Preclinical models of adolescent binge drinking (Gilpin et al., 2012) and adult dependence (Becker, 2013; Vendruscolo and Roberts, 2014) were used to elicit different in vivo alcohol exposures in outbred rats. Myelin was labeled 1 month into abstinence in adulthood to quantify white matter changes in the frontal lobes. We show that voluntary binge drinking reduces myelin density in the mPFC in adolescent rats, relates to working memory deficits in adulthood, and produces enduring prefrontal white matter loss comparable to that observed after alcohol dependence. Moreover, greater severity of prefrontal white matter neuropathology was correlated with higher levels of relapse-like drinking in adulthood. These findings give insight into myelinated prefrontal axons that are vulnerable to alcohol and may underlie adverse mental health outcomes associated with early alcohol use in humans.
Materials and Methods
Animals
Male Wistar rats were shipped with their mothers on postnatal day (P)18 from Charles River, weaned, and housed in triads beginning on P21. All procedures were performed according to the National Institutes of Health Guide for the Care and Use of Laboratory Animals and approved by the Institutional Animal Care and Use Committee.
Study design
Experiment 1: effect of binge drinking and dependence on prefrontal white matter.
The experimental design is shown in Figure 1a. Rats (N = 27) were given differential exposure to alcohol during adolescence and adulthood (described briefly below; details in Gilpin et al., 2012). After operant training, P28 rats were randomly assigned to control (n = 9) or binge (n = 18) treatment [see below, Adolescent alcohol exposure (experiments 1–3)]. A priori, a larger binge group was planned to account for anticipated variability in alcohol self-administration. After 5 weeks of abstinence (beginning on P78), binge and control rats were tested for baseline drinking in adulthood. At P130, groups were further divided after balancing for adolescent and adult drinking behaviors, and animals were either made dependent [1 month of intermittent alcohol vapors; target blood alcohol levels (BALs) were 0.15–00.20 g/dl] or remained nondependent (1 month of ambient air control) and tested for relapse-like drinking, i.e., augmented drinking after short deprivation periods. Details on tail nick blood collection and Analox measurement of BALs are described in Gilpin et al. (2012). Brains available for this myelin study were from (1) control nondependent (n = 4), (2) control dependent (n = 5), (3) binge nondependent (n = 9), and (4) binge dependent (n = 9) rats that were perfused 1 month after vapor/air treatment ended. Brains were processed for quantification of prefrontal white matter loss and myelin damage, as described below.
Experiment 2: effect of binge drinking on myelinated axons in the mPFC of adolescent rats.
The experimental design is shown in Figure 3a. Rats (N = 25) underwent binge (n = 8) or control (n = 8) drinking from P28–P42, or remained naive to operant training and alcohol (n = 9). The day after the binge period ended, animals were perfused and brain tissue was processed and analyzed for myelin density (described below). Brain sections from a small proportion of these animals were used in a previous study (Karanikas et al., 2013).
Experiment 3: effect of binge drinking on working memory (T-maze).
The experimental design is shown in Figure 3a. Animals (N = 27) underwent adolescent binge (n = 13) or control (n = 14) drinking from P28–P42. After the binge period, animals were tested on P43, P44, and P48 for performance on the T-maze spontaneous alternation task as described below, and were tested again in adulthood after ∼6 weeks of abstinence (P88–P89).
Adolescent alcohol exposure (experiments 1–3)
Beginning on ∼P25, animals were trained to self-administer sweetened water (3% glucose/0.125% saccharin/tap water). On P28, rats were either switched to sweetened alcohol (8–10% w/v ethanol/3% glucose/0.125% saccharin/tap water; binge) or remained on sweetened water (control). Overnight operant sessions consisted of six 30 min bouts divided by time-out periods when the levers were retracted and alcohol was unavailable. Time-out periods lasted 90 min in Experiment 1 (Gilpin et al., 2012) and were reduced to 60 min in Experiments 2 and 3 to maximize operant box usage in our laboratory. Food and water were available ad libitum in the operant boxes throughout the binge exposure period.
Perfusions and brain sectioning (experiments 1–2)
Animals were intracardially perfused the day after the 2 week binge period ended (P43, Experiment 2) or several months later after drinking behavior was tested in adulthood (P196, Experiment 1, Gilpin et al., 2012). After 4 h post fixation and 24–48 h in 20% sucrose, brains were snap frozen using isopentane (2-methylbutane; Sigma) and dry ice, and stored at −80°C until sectioning. Thirty-five micrometer coronal sections were sliced on a freezing microtome and stored at −20°C in cryoprotectant (50% 0.1 m PBS, 30% ethylene glycol, and 20% glycerol).
Myelin labeling and microscopic analysis of prefrontal white matter (experiment 1)
Black Gold II (BG-II) was used to impregnate myelin and label white matter in every eighth brain section (Schmued et al., 2008). For white matter microscopic analysis, brain sections were classified as (1) forceps minor (CCFM), anterior to the CC joining across hemispheres, 2.10–1.85 mm from bregma or (2) genu (CCGenu), posterior to the joining of the left and right CC, 1.60–1.35 mm from bregma (Paxinos and Watson, 1998; Fig. 1b). Fifteen to 20 photomicrographs were taken using a Leica microscope (5× objective) attached to a DP71 Olympus camera and were digitally montaged for a single hemisphere. Two to four hemispheres were used for microscopic analysis of each anatomical classification for each animal. CCFM and CCGenu cross-sectional areas were quantified using ImageJ software (Rasband, 1997).
Degraded myelin basic protein labeling and microscopic analysis (experiment 1)
Using a marker of degraded myelin basic protein (dMBP), we quantified myelin damage in the center and the borders of the CCFM where these axons extend into the mPFC or the striatum (Fig. 2a). Free-floating sections were prepared using the immunohistochemistry standard protocol for dMBP (Millipore) primary antibody (1:1000), as described previously (Matsuo et al., 1997; Li and Stys, 2000), and Cy3 fluorescent secondary antibody (1:300, Jackson ImmunoResearch). Photomicrographs were taken 2.2 mm from bregma (20× objective) using constant imaging parameters, and were analyzed for intensity quantification using ImageJ software; the threshold function was used to highlight dMBP-positive regions. Percentage of dMBP-positive area within the total area was calculated.
Myelin labeling and microscopic analysis of myelin density in the mPFC (experiment 2)
Every 10th section was labeled for BG-II (Schmued et al., 2008), and dorsal mPFC photomicrographs were taken 2.2 mm from bregma (5× objective). Aperio ImageScope software was used to quantify myelinated fiber density in cortical layers II–V by thresholding the images. Percentage of myelinated fiber area within the total area was calculated.
T-maze spontaneous alternation task (experiment 3)
T-maze assays were conducted as previously described (Deacon and Rawlins, 2006), with the modification of a 70 s delay between trials, making this task mPFC dependent (Delatour and Gisquet-Verrier, 1996; Lalonde, 2002). In total, animals underwent 10 trials during adolescence and 6 trials during adulthood.
Statistical analysis
Overall effects of adolescent alcohol exposure and adult dependence on white matter cross-sectional area and dMBP intensity were analyzed using between-subjects two-way ANOVAs. One-way ANOVAs were used to analyze the effect of adolescent alcohol exposure on mPFC myelinated fiber density and on T-maze performance. Pearson correlation analyses were used to assess relationships between white matter and adolescent alcohol intake and adult baseline and relapse-like drinking behaviors, and to examine the relationship between adolescent alcohol intake and T-maze performance. Statistical significance was defined as ≤0.05 using two-tailed tests. Statistical analyses were performed using R statistical software package (RCoreTeam, 2013).
Results
Binge drinking during adolescence and/or dependence during adulthood reduced frontal white matter. This reduction persisted well into abstinence (over 5 months after adolescent binge ended and 1 month after vapor exposure ended). Binge rats had smaller CCFM areas than control rats (adolescent treatment main effect, F(1,21) = 10.50, p = 0.004; Fig. 1c). Likewise, alcohol-dependent rats had smaller CCFM areas than nondependent rats (adult treatment main effect, F(1,21) = 9.47, p = 0.006, Fig. 1c). No significant interaction between adolescent and adult treatments was detected (p = 0.15). The CCGenu, which is located just posterior to the mPFC, was not significantly altered after a history of adolescent binge drinking and adult dependence, and there was no interaction between these treatments (all ps > 0.05; Fig. 1d). However, CCGenu size was significantly inversely related to adolescent alcohol consumption (r = −0.64, p = 0.005; data not shown), suggesting that higher alcohol levels may be necessary to reduce CCGenu size.
We next examined behavioral correlates of white matter loss. CCFM size was not significantly correlated with baseline drinking levels (g/kg/30 min, r = 0.26, p = 0.21; Fig. 1e). Conversely, smaller CCFM size predicted higher drinking after short deprivation periods, indexed by percentage increase in intake relative to baseline (r = −0.47, p = 0.02; Fig. 1f). No significant correlations were detected between CCGenu size and any adult drinking behaviors.
A marker of dMBP was next used to index myelin health and identify the axonal population of the CCFM axons damaged by alcohol. We detected significantly elevated dMBP at the dorsomedial border of the CCFM (CCFMmPFC) in rats with a history of adolescent binge drinking (adolescent treatment main effect, F(1,23) = 7.00, p = 0.01; Fig. 2b). Dependence did not significantly increase dMBP in the CCFMmPFC (p > 0.05; Fig. 2b). dMBP was detected in the CCFMCenter and CCFMStriatum, but the intensity did not significantly differ between groups (ps > 0.05; Fig. 2c,d).
Based on the findings above, we next tested the hypothesis that binge drinking decreases myelinated axons in layers II–V of the mPFC of adolescent rats. Indeed, the day after the last binge session, mPFC myelinated axonal density was reduced in binge drinking rats compared with control and naive rats (F(2,21) = 8.43; p = 0.002; Fig. 3b).
We next explored whether binge drinking related to performance on the mPFC-dependent, spontaneous alternation T-maze working memory task. There was no main effect of binge drinking on performance (p > 0.05), but the amount of alcohol consumed early in adolescence predicted poor performance on the T-maze in adulthood (r = −0.69, p = 0.009; Fig. 3c). Conversely, this relationship between sweetened water drinking and T-maze performance was not observed in control rats (r = −0.14, p = 0.63; Fig. 3c). There were no significant relationships between adolescent drinking and T-maze performance at the end of the adolescent treatment period for either group (ps > 0.05; data not shown).
Table 1 summarizes average daily alcohol intake over the 2 week adolescent binge period for rats in Experiments 1–3. BALs ranged between 0.0 and 0.17 g/dl after 0.0–2.20 g/kg alcohol consumption in single, 30 min self-administration bouts, which were randomly assessed from animals in the three experiments. These BALs are moderate and similar to what has been reported for adolescent rats consuming sweetened alcohol in the home cage (Walker et al., 2008; Gilpin et al., 2012; Broadwater et al., 2013).
Discussion
The current study examined the effect of adolescent and adult alcohol exposure on myelin in the frontal lobes of male rats. Similar to human studies, we found negative correlations between adolescent alcohol drinking and white matter. We also provide empirical evidence that alcohol reduces myelin density in adolescent rats and causes enduring white matter deficits in the mPFC. Alcohol treatment—adolescent binge drinking or adult dependence—reduced the size of the CCFM and this neuropathology was predictive of higher levels of relapse-like drinking. Adolescent drinking predicted poor performance on an mPFC-dependent task. Structural changes in white matter and degraded myelin health persisted well into abstinence in adulthood, suggesting that adolescent binge drinking produces irreversible changes in prefrontal circuitry.
The effect of alcohol on CCFM axons may have broad implications for adolescent and adult mental health outcomes. This anterior fiber bundle connects the mPFC to the lateral prefrontal cortex and striatum, and is implicated in depression, multiple sclerosis, Tourette's syndrome, and chronic schizophrenia (Cader et al., 2006; Friedman et al., 2008; Jackson et al., 2011; Tadayonnejad et al., 2014). The structures interconnected by the CCFM are also implicated in addiction (Everitt and Robbins, 2005; Volkow et al., 2005) and our current data suggest impaired connectivity may influence drinking risk in adulthood. Reduced CCFM size predicted augmented drinking during relapse tests, but did not predict increased baseline drinking behavior. Importantly, relapse-like drinking behavior was normalized for each animal to his own baseline. This suggests that the link between CCFM structure and relapse is not simply reflecting the effect of alcohol dose on CCFM axons. Instead, these axons may help control the magnitude of increase in alcohol intake, or “over-doing it,” after experiencing short periods of abstinence from drinking.
Adolescent alcohol drinking and adult alcohol dependence produced changes of similar magnitude in the CCFM. This is remarkable considering the substantial difference in the duration and dose of alcohol exposure between the two treatment groups. Binge rats consumed alcohol voluntarily, reaching 0.08 g/dl BALs in only some of the drinking bouts over a 2 week adolescent drinking period that took place early in adolescence, >5 months before the brains were processed in adulthood. Conversely, dependence was induced in adulthood by 1 month of exposure to daily cycles of alcohol vapor-induced intoxication that maintained BALs between 0.15 and 0.20 g/dl for 14 h/d—an exposure that produces mild physical dependence (Richardson et al., 2008). The fact that the adolescent alcohol exposure duration and amount was much less than vapor exposure in adulthood suggests that the adolescent brain has heightened sensitivity to alcohol and the effects are enduring. The data support the hypothesis that the dynamic changes occurring in the developing prefrontal cortices during adolescence (Casey et al., 2008) increase susceptibility to potentially toxic external stimuli such as alcohol (Crews et al., 2007). The fact that dependence induction did not further reduce CCFM size in the binge group suggests a ceiling effect of alcohol on degradation of this axonal bundle.
The lack of group changes in CCGenu structure suggests that higher doses and a more prolonged exposure to alcohol, perhaps in combination with vitamin B1 deficiency, may be required to significantly impair white matter structure, as previously suggested (He et al., 2007; Pfefferbaum et al., 2008). This notion is supported by the significant inverse correlation between adolescent alcohol consumption and CCGenu size observed in this study. It will be important in future studies to determine how prefrontal myelin is damaged by alcohol using other models of alcohol use disorders (Simms et al., 2008; Crabbe et al., 2009) and to extend these findings to females.
Finally, to assay functional integrity of the mPFC, we tested rats for spontaneous alternation on the T-maze using a 70 s delay to increase working memory demand (Delatour and Gisquet-Verrier, 1996; Lalonde, 2002). Higher binge drinking levels during adolescence predicted poorer performance on the T-maze task in adulthood. This relationship was not evident in control rats, suggesting that alcohol consumption produces enduring functional changes in mPFC circuitry. Nevertheless, without a significant main effect, we cannot exclude the possibility that the correlation between alcohol and performance may reflect a relationship that is not causal in nature. The lack of a significant main effect could be due to variability in intake, as well as limitations in assaying a subtle cognitive impairment. In future studies, treatment differences in performance might be detected after increasing the retention interval, i.e., a larger delay between sample and choice phases (Deacon and Rawlins, 2006).
In conclusion, the present study provides causal evidence for alcohol-induced reductions in myelin in prefrontal circuits. To the best of our knowledge, this is the first study to show that adolescent voluntary binge drinking reduces the density of myelinated axons in the mPFC and has long-lasting effects on prefrontal white matter. Future work exploring the mechanisms by which alcohol damages prefrontal myelin may lead to new therapeutic strategies for the treatment of alcohol use disorders.
Footnotes
This work was funded by National Institutes of Health (NIH) Grant AA021013 (H.N.R.) and NIH PREP GrantR25GM086264 (W.M.V.). We kindly thank Chrisanthi Karanikas, Craig Mehrmann, Katherine Hemingway, Kyle O'Donnell, Maury Cole, Michael Riad, and Kristie Fierro for assistance with the experiments and Dr. David Moorman, Dr. Luke Remage-Healey, Jesse McClure, and Yi-Ling Lu for their critical reading of this manuscript.
The authors declare no competing financial interests.
- Correspondence should be addressed to Heather N. Richardson, University of Massachusetts Amherst, Tobin Hall, 135 Hicks Way Amherst, MA 01003. hrichardson{at}cns.umass.edu