Introduction: Repeated use of methamphetamine (METH) is known to dysregulate the dopaminergic system and induce long-lasting changes in behavior, which may be influenced by sex and age of exposure. Catechol-o-methyltransferase (COMT) is an enzyme that is involved in the breakdown of catecholamines, and its role in dopamine clearance is thought to be especially important in the prefrontal cortex (PFC) where dopamine transporter expression is relatively scarce. Methods: The first study in this report utilized a rat model to characterize the ontogeny of COMT protein expression in the PFC and nucleus accumbens (NAc) across adolescence, which is a developmental stage that has been shown to involve significant reorganization of dopaminergic innervation. Drug-naïve male and female Sprague-Dawley rats were sacrificed on postnatal day (P) 29, 39, 49, or 69, and expression levels of COMT protein within the PFC and NAc were analyzed via Western blot. A separate group of rats were injected daily from P40 to P48 (adolescence) or P70 to P78 (adulthood) with saline or 3.0 mg/kg METH and sacrificed on P49 or P79. Results: We found that COMT expression in the PFC increases across adolescence in a sex-dependent manner but does not significantly change in the NAc during this timeframe. While METH decreased COMT in adult rats of both sexes, METH increased COMT expression in the PFC of rats exposed in adolescence. Conclusion: The results of this work suggest that exposure to METH during adolescence uniquely effects dopamine clearance within the PFC, potentially contributing to differences in neurobiological outcomes from METH use.

Adolescence, which in humans occurs from approximately 12–20 years of age, is a period of significant physical, behavioral, and cognitive changes. For example, the prefrontal cortex (PFC) undergoes substantial reorganization from adolescence into young adulthood [1‒4] that is characterized by considerable changes in dopamine signaling. Axons immunoreactive for tyrosine hydroxylase, the rate-limiting enzyme in the synthesis of dopamine, increase innervation into the PFC during adolescence in rats [5] and in nonhuman primates [6, 7]. While the total volume of the PFC declines in both humans [1, 8] and rodents [9], dopamine inputs to the PFC, as measured by tyrosine hydroxylase immunoreactivity, increase in a sex-specific way during adolescence to levels that are significantly higher than those seen either earlier or later in life [6, 10]. Regulated dopaminergic signaling within the brain is critical for numerous cognitive and motor functions and disruption within these pathways has been demonstrated to play a role in a number of neurological diseases, including substance use disorders (SUDs) [11].

Methamphetamine (METH) acutely increases dopamine levels within various regions of the brain [12], and changes to dopamine signaling represent one of the critical components of the behavioral effects of METH and its potential to lead to compulsive use and relapse that contributes to SUDs [13]. While SUDs are problematic at any life stage, stimulant misuse may be of particular concern when it impacts the developing brain. Over 60% of people who use stimulants other than cocaine report initiating use prior to age 18, and adolescent-onset users are 70% more likely to develop the clinical symptoms of SUD within 2 years compared to adult-onset users [14]. In addition, adolescent METH users are far more likely than their non-using peers to exhibit risky sexual behavior, polydrug use, and other behavioral problems [15, 16]. The exact neurobiological underpinnings of these differences are difficult to establish in humans due in part to the myriad of factors that may contribute to substance misuse during adolescence. However, a growing body of work in animal models suggests that differences in key aspects of dopamine signaling play a pivotal role in determining outcomes from drug use. The dopamine system is a leading candidate mechanism for the unique effects of adolescent compared to adult exposure to amphetamines because of the delayed development in the PFC and the potent effect amphetamines have on dopaminergic signaling within this region [17, 18].

While the changes in dopamine innervation and signaling have been investigated in the context of adolescence, what is less often studied is the developmental trajectory of dopamine clearance mechanisms. The primary mechanism of dopamine clearance from the synapse is via the dopamine transporter (DAT), which returns dopamine into the presynaptic cell where it can be metabolized by monoamine oxidase or repackaged into synaptic vesicles [19]. In the PFC, however, DAT expression is much lower than in other areas of the brain [20]. Due to this, the enzyme catechol-o-methyltransferase (COMT) plays a particularly crucial role within the PFC. COMT is produced in two different isoforms: the short, soluble form (S-COMT) that is thought to be involved mostly when catecholamine levels are high [21‒23] and the longer, membrane-bound form (MB-COMT) that is primarily involved in the termination of dopaminergic signaling when catecholamine levels are lower and more physiologically relevant [24]. One study in rats demonstrated that COMT is responsible for approximately 60% of dopamine clearance within the PFC [25]. This critical role of COMT may be enhanced in the instance of METH use, as one of the effects of METH is the inhibition [26] and reversal [27, 28] of the DAT such that it releases dopamine into the synapse via a mechanism referred to as exchange diffusion.

In humans, there are three functional polymorphisms of COMT that differ based on the valine (Val) or methionine (Met) allele at codon 158 of the COMT promoter region: Val/Val, Val/Met, and Met/Met. The Val allele is hypothesized to confer relatively higher COMT activity compared to the Met allele, such that the Val/Val variant would be expected to confer the highest COMT activity and Met/Met the lowest [29]. Polymorphisms of the COMT gene have been associated with altered cognition assessed in the PFC-sensitive Wisconsin Card Sorting Test [30]. Additionally, certain polymorphisms of this gene have been linked to increased incidence of SUD diagnosis for several drugs [31], including alcohol [32] and METH [33, 34].

The effects of COMT expression on SUD may be age- and gender/sex-specific. In both humans (gender) and mice (sex), extreme COMT reduction (via knockout in mice and through 22q11.2 deletion syndrome in humans) is associated with cortical thinning only in females and only after puberty. This same study demonstrated that both humans and mice showed COMT-by-sex effects in executive function that were paralleled by alterations to tyrosine hydroxylase and that only emerged in adolescence [35]. These sex and age effects may furthermore play a role in substance use and outcomes following cessation. In humans, female Val/Val carriers report more severe urges to smoke and withdrawal symptoms following overnight abstinence from nicotine than Val/Met carriers. This effect is not seen in men [36]. In rats, the COMT inhibitor tolcapone reduces both reinforcer seeking and alcohol consumption in male, but not female, alcohol-preferring “P” rats [37]. Taken together, these results suggest that the effects of COMT activity may be influenced by both age and gender/sex and that these factors may all interact to lead to diverging outcomes of drug seeking and withdrawal effects. It is currently unknown, however, how COMT expression or function is changing during the same period of adolescent development when other aspects of the dopamine system are still maturing.

To establish whether COMT expression is changing in sex-specific ways across adolescence, we used a rat model of adolescence to investigate the ontogeny of COMT protein expression in the PFC and nucleus accumbens (NAc) from early adolescence through early adulthood. Time points were selected such that measures before and after puberty in both male and female rats were taken since pubertal onset has been demonstrated to be a critical point of transition in neurodevelopment [38]. Once the general pattern of COMT expression was determined, we investigated the effects of repeated exposure to METH during adolescence or young adulthood to determine if drug-induced changes in COMT expression were dependent on age of exposure. We hypothesized that COMT would follow a similar developmental trajectory to tyrosine hydroxylase [5] in that expression would peak in the PFC following pubertal onset in both males and females and plateau into young adulthood. Because of its relatively reduced functional significance in the earlier-developing NAc, we predicted there would be no age-related changes in this brain region. Furthermore, we expected that METH exposure would increase expression of both isoforms of COMT in the PFC in all groups in response to repeated elevations in dopamine levels both intra- and extracellularly, but that the increase would be greater in adolescent-exposed rats.

Subjects

A total of 96 Sprague-Dawley male and female rats were used for these experiments (n = 24/sex for the ontogeny experiment and n = 24/sex for the drug exposure experiment). Rats were housed in same-sex groups of three beginning on postnatal day (P) 23, were kept on a 12:12 light/dark cycle (lights off at 09:00), and were provided food and water ad libitum. Rats were checked daily beginning on P29 for physical markers that indicate pubertal onset: preputial separation for males and vaginal opening for females [39, 40]. In the sample of rats used here, mean pubertal onset was 35.3 ± 0.8 days for females (range: 32–38 days) and 43.2 ± 0.4 days for males (range: 41–45 days). All animals were handled and weighed daily in the hour before dark cycle onset (∼08:00). In both the ontogeny and the drug exposure experiments, rats were assigned randomly to groups for the most equal distribution of littermates across treatment and/or age groups.

COMT Ontogeny: Tissue Collection and Estrus Cycle Determination

For the drug-naïve rats used to determine the ontogeny of COMT expression (n = 24/sex), sacrifice occurred at one of four ages (n = 6/age/sex): P29, 39, 49, or 69. All postpubertal females in the ontogeny groups underwent a vaginal lavage after anesthesia and immediately before decapitation to assess estrus cycle stage. Stage of estrus cycle (proestrus, estrus, or diestrus) was determined using Goldman’s methods as previously described [41]. Animals were anesthetized with 2.5% isoflurane for 2–3 min before sacrifice via rapid decapitation. Following decapitation, brains were extracted in ≤5 min, immediately frozen in dry ice, and subsequently stored at −80°C until bilateral micropunches were taken from 350-μm coronal slices of the medial PFC (prelimbic and infralimbic regions combined; bregma point AP +3.72 to +2.0) and the NAc (bregma point AP +2.28 to +1.2). Punches were taken only where anatomical markers confirming proper placement (e.g., anterior forceps of the corpus callosum for the PFC and lateral ventricles/anterior commissure for NAc) were visually confirmed to reduce the chances of differential sampling across ages.

Effects of METH on COMT Expression

Rats used in this experiment (n = 24/sex) were injected (i.p.) with 0.9% saline or 3.0 mg/kg METH (Research Triangle Institute; distributed by The National Institute on Drug Abuse) in a volume of 1 mL/kg/injection. These injections occurred daily within the first hour of the dark cycle (∼09:00–10:00 h) for 9 consecutive days, either from P40–P48 (adolescent-exposed) or P70–78 (adult-exposed). The side of the body where injections occurred was alternated daily to avoid discomfort around injection sites. Rats were sacrificed 24–26 h after their final injection (P49 or 79) using the procedure described above. Brain extraction and tissue processing also occurred as described above, except only samples of the PFC were taken.

Western Blot Analysis

Samples were homogenized and lysed in icy cold lysis buffer (150 mm NaCl, 50 mm Tris-44 HCL pH = 7.4, 30 mm EDTA, 1.5% Triton-X, 0.1% SDS, 0.5% protease inhibitor and 0.5% phosphatase inhibitor) using a standardized protocol previously described [42]. Protein concentration was estimated for each sample using Precision Red Advanced Protein Assay (Cytoskeleton, CA, USA). Samples were prepared at 20 μg protein/well with 4× laemmli loading buffer and 2-mercaptoethanol, heated at 95°C for 5 min and run electrophoretically on pre-cast gels (4–20% TGX Stain-Free Protein Gels, Bio-Rad) with at two samples from each same-sex group on each gel. Samples from male and female animals were run on separate gels. Following electrophoresis, protein was transferred to PVDF membrane (Bio-Rad) and blocked in 5% nonfat milk in TBST overnight at 4°C. Strips of membrane were incubated in 5% nonfat milk in TBST for 1.5 h at room temperature in primary antibody (COMT: 1:2,500, Proteintech) and secondary antibody for 2 h at room temperature. Vinculin was used as the housekeeping protein (1:5,000, Proteintech). Images were captured using a ChemiDoc system (Bio-Rad) and densitometric analysis was performed using ImageJ (NIH, Bethesda, MD, USA).

Data Analysis

For each gel, the mean gray value from COMT bands was normalized to the mean gray value of the vinculin bands. An average of the same-sex adult control group within each gel was then calculated as the baseline to account for the variability across gels within this group. Since data from each sex were normalized separately to their respective control group, male and female data were analyzed separately; thus, sex is not a factor included in our ANOVA. In addition, COMT isoforms were analyzed separately rather than as a within-subjects factor because the goal of this study was to present the developmental trajectory for both S- and MB-COMT as independent variables. For the ontogeny experiment, one-way ANOVA (age) was used to analyze group differences in COMT expression in both the PFC and NAc. In the METH exposure experiment, two-way ANOVA (age × treatment) was used to analyze group differences in COMT expression within the PFC. All analyses were conducted in R (Version 1.4.1717; rstudio.com). Significant main effects were further analyzed via Tukey’s HSD.

COMT Ontogeny

To establish the ontogeny of COMT across adolescence, drug-naïve animals were sacrificed at one of four time points spanning early adolescence into young adulthood, and COMT protein expression was measured in both the PFC and NAc. One-way ANOVA revealed that in both males and females, expression of MB-COMT significantly increased between P29 and P39 in the PFC (male: F3,20 = 10.4, p < 0.001; female: F3, 20 = 14.8, p < 0.001). In males (Fig. 1), levels of MB-COMT did not significantly change from P39 through adulthood. In contrast, females (Fig. 2) showed a significant decrease in MB-COMT expression from P49 to P69 (F3, 20 = 24.8, p < 0.001). In female animals, there was no significant difference between P29 and P69 (F3, 20 = 1.4, p = 0.271). For animals of both sexes, MB-COMT expression within the NAc did not change significantly across age.

Fig. 1.

COMT expression across adolescent development in the PFC (a, b) and NAc (c, d) of male rats. Data are expressed as a percent of protein expression in adult males (control) for membrane bound (MB)- and soluble (S)-COMT, which are labeled on the representative Western blot image. Brain tissue was collected from different rats (n = 6/age group) that were pre- (P29 and P39) and postpubertal (P49 and P69). *p < 0.05 vs. adult, **p < 0.01 vs. adult.

Fig. 1.

COMT expression across adolescent development in the PFC (a, b) and NAc (c, d) of male rats. Data are expressed as a percent of protein expression in adult males (control) for membrane bound (MB)- and soluble (S)-COMT, which are labeled on the representative Western blot image. Brain tissue was collected from different rats (n = 6/age group) that were pre- (P29 and P39) and postpubertal (P49 and P69). *p < 0.05 vs. adult, **p < 0.01 vs. adult.

Close modal
Fig. 2.

COMT expression across adolescent development in the PFC (a, b) and NAc (c, d) of female rats. Data are expressed as a percent of protein expression adult females (control). Data are expressed as a percent of protein expression in adult males (control) for membrane-bound (MB)- and soluble (S)-COMT, which are labeled on the representative Western blot image. Brain tissue was collected from different rats (n = 6/age group) that were pre- (P29) and postpubertal (P39, P49, and P69). **p < 0.01 vs. adult.

Fig. 2.

COMT expression across adolescent development in the PFC (a, b) and NAc (c, d) of female rats. Data are expressed as a percent of protein expression adult females (control). Data are expressed as a percent of protein expression in adult males (control) for membrane-bound (MB)- and soluble (S)-COMT, which are labeled on the representative Western blot image. Brain tissue was collected from different rats (n = 6/age group) that were pre- (P29) and postpubertal (P39, P49, and P69). **p < 0.01 vs. adult.

Close modal

For S-COMT, only male animals showed a significant change in expression across age (Fig. 1). In males, the change in S-COMT within the PFC expression mirrored that of MB-COMT in that expression increased between P29 and P39 (F3, 20 = 4.86, p = 0.01) and remained consistent through P69. In females (Fig. 2), no significant changes in S-COMT expression in the PFC were detected (F3, 20 = 0.938, p = 0.441). In the NAc, S-COMT did not change significantly across age in either male or female rats.

Effects of METH on COMT Expression

To investigate whether ongoing development of COMT expression during adolescence leads to unique effects of drug exposure on COMT expression, we injected adolescent (P40) or adult (P70) rats with saline or 3.0 mg/kg METH once daily for 9 days. We found that in both sexes, the effect of METH on COMT expression in the PFC was age-specific. In female rats (Fig. 3a, b), METH significantly increased expression of both MB- and S-COMT in adolescent-exposed animals (F1, 20 = 12.1, p = 0.008 and F1, 20 = 12.6, p = 0.002, respectively), but in adult-exposed rats, it reduced expression of both COMT isoforms (F1, 20 = 7.10, p = 0.034 and F1, 20 = 6.32, p = 0.04). Likewise in males (Fig. 3c, d), METH significantly increased expression of both MB- and S- isoforms (F1, 20 = 5.98, p = 0.04 and F1, 20 = 6.18, p = 0.042, respectively) in adolescent-exposed rats, but lowered expression in those exposed in adulthood (F1, 20 = 6.88, p = 0.039 and F1, 20 = 7.08, p = 0.03). In females, there was also a significant age difference in COMT expression in saline-injected controls, with expression of both isoforms significantly higher at P79 compared to P49 (F1, 20 = 6.36, p = 0.042 and F1, 20 = 6.17, p = 0.046, for MB- and S-COMT respectively). This age-dependent difference in controls was not observed in males.

Fig. 3.

Effects of METH on MB- and S-COMT expression in the PFC of males (a, b) and females (c, d). Data (n = 6/group) are shown as a percent of protein expression in the adult, same-sex controls (saline exposed). *p < 0.05 and **p < 0.01 vs. saline-injected controls #p < 0.05 vs. adult saline.

Fig. 3.

Effects of METH on MB- and S-COMT expression in the PFC of males (a, b) and females (c, d). Data (n = 6/group) are shown as a percent of protein expression in the adult, same-sex controls (saline exposed). *p < 0.05 and **p < 0.01 vs. saline-injected controls #p < 0.05 vs. adult saline.

Close modal

Consistent with our hypothesis, COMT expression levels within the PFC changed across development in both male and female rats, indicating that dopamine clearance mechanisms beyond just the DAT undergo significant changes across adolescence just as dopamine innervation does [5, 10]. In male animals, there was an increase in both isoforms of COMT at P39, relative to P29 that remained elevated through early adulthood (P69). In females, the change in COMT expression was isoform specific. MB-COMT significantly increased from P29 to P39 and remained elevated at P49, followed by a return to juvenile-like expression levels at P69. S-COMT did not significantly change in female animals at any time point measured.

Unlike the changes in the PFC, we did not find a significant change in COMT expression across any of the tested ages in the NAc. Dopaminergic neurons in the mesolimbic pathway project into the NAc, and dopamine signaling into this region is critical for the reinforcing properties of drugs like METH [43, 44]. In contrast to the PFC, however, the DAT is highly expressed within the NAc and DAT is the primary mechanism of dopamine clearance within this region [45]. Furthermore, COMT expression does not appear to be as tightly linked to extracellular dopamine levels in the NAc as it is in the PFC. One study that examined extracellular dopamine levels in COMT knockout mice found a significant increase in dopamine within the PFC, but not in dorsal striatum or the NAc of either male or female animals [25].

The meaning of the differences in the developmental patterns of COMT isoforms is less clear. These two isoforms are thought to have at least somewhat distinct roles within the body. MB-COMT may be primarily involved in the termination of dopaminergic neurotransmission when there are low, physiologically relevant concentrations of catecholamines [24]. This isoform has also been shown to have a higher affinity for catechol substrates – and for dopamine in particular – than S-COMT. S-COMT, in contrast, is thought of as the high-capacity isoform [46]. S-COMT may therefore play an important role in the elimination of excessive, and potentially toxic, catecholamine levels that are induced by exogenous stimuli like METH. One limitation in studying COMT expression is that there are not yet antibodies that reliably distinguish S- and MB-COMT isoforms, limiting the ability to say whether their distribution across cell types or layers within the PFC is different. Separation by weight through Western blot allows for analysis of these two isoforms, but additional work is needed to determine the underlying differences in their maturational courses.

To determine if ongoing development of COMT signaling within the PFC may render adolescent animals particularly vulnerable to METH-induced changes in COMT expression, we next exposed animals of both sexes to METH or saline in either adolescence or adulthood. We utilized a dosing paradigm that we have previously demonstrated induces opposing effects on parvalbumin (PV) number in adolescent and adult females [47], an effect that may be influenced by differences in dopaminergic signaling given that PV+ interneurons rely on proper dopaminergic input to develop their normal adult function [48]. We began dosing for adult animals at P70 when rats would presumably have baseline COMT expression levels comparable to what we demonstrated at P69 rather than beginning at P60 when the difference seen between P49 and P69 females may not be complete. Animals were sacrificed ∼24 h following their final drug exposure, allowing us to investigate short-term changes to COMT signaling after blood levels of METH have decreased significantly. We hypothesized that METH exposure would significantly increase COMT expression in both age groups, but to the greatest extent in adolescents. Interestingly, we found that METH exposure significantly increased COMT expression within the PFC in adolescence but decreased expression of COMT in adulthood. This was true for both isoforms of COMT and for both sexes, unlike our previously reported effects on PV which were specific to females. These results suggest that COMT may contribute, at least in part, to sex differences in METH-driven changes in PV expression between adolescents and adults. There appears to be a sex-specific factor that makes females uniquely vulnerable, at least at this age and dosing regimen.

There has been a significant amount of literature describing the effects of altering COMT activity on the effects of amphetamines [49, 50], alcohol [51, 52], and nicotine [53, 54], but very little work on how exposure to these kinds of drugs may alter COMT protein expression. In one study, ten daily injections of 2 mg/kg METH significantly increased expression of both isoforms of COMT in the heart of adult male mice, both 24 h and 7 days after the final injection [55]. In the current study, however, COMT expression in the PFC was decreased 24 h after the final injection in both male and female rats following 9 days of exposure to 3 mg/kg METH. This was contrary to our a priori hypothesis that METH would increase COMT expression in all groups, though it did increase expression in adolescent animals.

One possible explanation for the decrease in COMT expression within the PFC of adult animals is that cells where COMT is localized may be reduced following METH exposure. MB-COMT reportedly localizes with multiple pre- and postsynaptic markers and is present in relatively even distribution across neuronal cell bodies and dendrites within the rat cortex [56]. It is also expressed in glial cells [57] and appears to be more prominent in microglia than in astrocytes [58]. Reenilä et al. [59] and Helkamaa et al. [60] have reported COMT expression is increased in activated microglial cells, suggesting that changes in COMT expression may be indicative of immune response. There is evidence that the neuroimmune system continues to develop throughout adolescence and that communication between the brain and the immune system may play in a role in a number of pathologies that tend to emerge around adolescence [60, 61]. METH has been reported to induce neurotoxicity at high doses, and activation of microglia in response to METH has been reported in humans and in animals (for review, see [62]). Differences in COMT expression following METH exposure may thus be due to differences in microglia activity between adolescents and adults; however, it is important to note that most studies that demonstrate significant neuroimmune responses to METH utilize high doses (e.g., 5–10 mg/kg) in drug-naïve animals, and to date, there have yet to be any published studies demonstrating if effects differ between adolescents and adults. Investigation via methods that allow for additional labeling of cell types that express COMT (e.g., immunohistochemistry) are needed to develop a better understanding of how and why the response in adult animals differs from that seen in adolescents, as the current study did not allow for such determination of mechanism.

Adolescent-specific changes in COMT expression following METH exposure may underlie some of the behavioral differences seen in both humans and animals between those exposed to amphetamines in adolescence and those exposed as adults. In rats exposed to 3 mg/kg amphetamine every other day from P27–P45 (adolescent group) or P85–P103 (adult group) who were then tested on an inhibitory control task at least 60 days after their last drug injection, our laboratory found that drug exposure induced impulsivity in adolescent- compared to adult-exposed males [63]. We have also found a greater deficit in working memory in male rats exposed to amphetamine during adolescence compared to those exposed as adults on a delayed matching-to-position task [64]. Both impulse control and working memory are sensitive to PFC function, and both are sensitive to disruptions to dopaminergic signaling [65‒67]. Lasting differences between adult and adolescent animals exposed to amphetamines may be due to imbalanced dopamine signaling, driven in part by differences in COMT expression.

The present work sought to identify, in both sexes, the normative adolescent development of COMT expression in brain regions known to undergo significant structural and functional changes during the transition from the juvenile period into adulthood. Secondarily, we aimed to investigate the potential for age-specific effects of METH exposure on COMT protein levels in the PFC. Importantly, the degree to which these effects generalize to other lower or higher doses, the pattern of drug administration, or to different ages in adulthood is unknown. We modeled nontherapeutic (i.e., “recreational”) misuse of METH in part because previous work has shown that individuals who are prescribed lower, therapeutically relevant doses of amphetamines to treat conditions such as attention deficit hyperactivity disorder do not have an increased likelihood of developing SUDs [68, 69]. While it is difficult to compare directly between doses in rats versus humans, our selected dose of 3 mg/kg is typically considered moderate and has been shown to have age-dependent effects [47, 64, 70] in the absence of adverse reactions (e.g., porphyrin staining and piloerection; [71]) or neurotoxicity [72]). Additionally, the differences discussed in this report are limited to the relatively immediate timeframe following drug exposure – how, or if, these differences may persist following withdrawal is unclear, though previous work in mice has shown that COMT changes in the heart persist up to 7 days after the final dose. In the context of COMT development as a potential mechanism behind altered drug taking behaviors following adolescent exposure, lasting changes to drug self-administration following METH exposure may more closely link differences in dopamine clearance to drug use outcomes. Future work that utilizes a range of doses and measures both acute and long-term effects on COMT expression may further elucidate specific vulnerabilities to dopaminergic insults in adolescence and whether they alter adult COMT expression and/or drug taking behaviors. It would be further beneficial to measure COMT function across adolescence in a longitudinal manner, i.e., in the same animals as they develop. Future studies that utilize, for instance, microdialysis measures with and without COMT inhibitors as in [25] may provide important evidence for individual, rather than group, changes in COMT expression. Use of COMT inhibitors like tolcapone may also provide support for a mechanistic role in drug taking behaviors if utilized in a drug self-administration context.

In conclusion, METH exposure in adolescence leads to opposing results in COMT expression compared to those seen in adult exposure. The exact mechanism by which COMT expression is being modulated following METH exposure is unclear and remains in need of further examination. One possible explanation is a change in neuroimmune response to METH in these two ages, and future research into altered immune response during adolescence could help develop a clearer picture of specific changes within the PFC that lead to COMT expression shifts.

Experimental procedures were approved by the Institutional Animal Care and Use Committee at the University of Illinois, Urbana-Champaign, and were consistent with the Principles of Laboratory Animal Care (NIH Publication no. 85–23).

The authors have no conflicts of interest to declare.

This work was funded in part by a grant from the National Institute on Drug Abuse (DA 055105). The funder had no role in the design, data collection, data analysis, and reporting of this study.

L.K.C. was involved in all aspects of study design, execution, data analysis, and write-up. J.M.G. was involved in all aspects of study design and write-up.

The data that support the findings of this study are openly available at the Illinois Data Bank (https://doi.org/10.13012/B2IDB-7839940_V1). Further inquiries can be directed to the corresponding author.

1.
Sowell
ER
,
Thompson
PM
,
Holmes
CJ
,
Jernigan
TL
,
Toga
AW
.
In vivo evidence for post-adolescent brain maturation in frontal and striatal regions
.
Nat Neurosci
.
1999
;
2
(
10
):
859
61
.
2.
Shaw
P
,
Kabani
NJ
,
Lerch
JP
,
Eckstrand
K
,
Lenroot
R
,
Gogtay
N
, et al
.
Neurodevelopmental trajectories of the human cerebral cortex
.
J Neurosci
.
2008
;
28
(
14
):
3586
94
.
3.
Giedd
JN
,
Rapoport
JL
.
Structural MRI of pediatric brain development: what have we learned and where are we going
.
Neuron
.
2010
;
67
(
5
):
728
34
.
4.
Stiles
J
,
Jernigan
TL
.
The basics of brain development
.
Neuropsychol Rev
.
2010
;
20
(
4
):
327
48
.
5.
Willing
J
,
Cortes
LR
,
Brodsky
JM
,
Kim
T
,
Juraska
JM
.
Innervation of the medial prefrontal cortex by tyrosine hydroxylase immunoreactive fibers during adolescence in male and female rats
.
Dev Psychobiol
.
2017
;
59
(
5
):
583
9
.
6.
Rosenberg
DR
,
Lewis
DA
.
Changes in the dopaminergic innervation of monkey prefrontal cortex during late postnatal development: a tyrosine hydroxylase immunohistochemical study
.
Biol Psychiatry
.
1994
;
36
(
4
):
272
7
.
7.
Rosenberg
DR
,
Lewis
DA
.
Postnatal maturation of the dopaminergic innervation of monkey prefrontal and motor cortices: a tyrosine hydroxylase immunohistochemical analysis
.
J Comp Neurol
.
1995
;
358
(
3
):
383
400
.
8.
Sowell
ER
,
Thompson
PM
,
Tessner
KD
,
Toga
AW
.
Mapping continued brain growth and gray matter density reduction in dorsal frontal cortex: inverse relationships during postadolescent brain maturation
.
J Neurosci
.
2001
;
21
(
22
):
8819
29
.
9.
van Eden
CG
,
Kros
JM
,
Uylings
HB
.
The development of the rat prefrontal cortex. Its size and development of connections with thalamus, spinal cord and other cortical areas
.
Prog Brain Res
.
1990
;
85
:
169
83
.
10.
Kalsbeek
A
,
Voorn
P
,
Buijs
RM
,
Pool
CW
,
Uylings
HB
.
Development of the dopaminergic innervation in the prefrontal cortex of the rat
.
J Comp Neurol
.
1988
;
269
(
1
):
58
72
.
11.
Diana
M
.
The dopamine hypothesis of drug addiction and its potential therapeutic value
.
Front Psychiatry
.
2011
;
2
:
64
.
12.
Di Chiara
G
,
Imperato
A
.
Drugs abused by humans preferentially increase synaptic dopamine concentrations in the mesolimbic system of freely moving rats
.
Proc Natl Acad Sci USA
.
1988
;
85
(
14
):
5274
8
.
13.
Volkow
ND
,
Fowler
JS
,
Wang
GJ
,
Swanson
JM
,
Telang
F
.
Dopamine in drug abuse and addiction: results of imaging studies and treatment implications
.
Arch Neurol
.
2007
;
64
(
11
):
1575
9
.
14.
Chen
CY
,
Storr
CL
,
Anthony
JC
.
Early-onset drug use and risk for drug dependence problems
.
Addict Behav
.
2009
;
34
(
3
):
319
22
.
15.
Zapata
LB
,
Hillis
SD
,
Marchbanks
PA
,
Curtis
KM
,
Lowry
R
.
Methamphetamine use is independently associated with recent risky sexual behaviors and adolescent pregnancy
.
J Sch Health
.
2008
;
78
(
12
):
641
8
.
16.
Embry
D
,
Hankins
M
,
Biglan
A
,
Boles
S
.
Behavioral and social correlates of methamphetamine use in a population-based sample of early and later adolescents
.
Addict Behav
.
2009
;
34
(
4
):
343
51
.
17.
Brenhouse
HC
,
Sonntag
KC
,
Andersen
SL
.
Transient D1 dopamine receptor expression on prefrontal cortex projection neurons: relationship to enhanced motivational salience of drug cues in adolescence
.
J Neurosci
.
2008
;
28
(
10
):
2375
82
.
18.
Naneix
F
,
Marchand
AR
,
Di Scala
G
,
Pape
JR
,
Coutureau
E
.
A role for medial prefrontal dopaminergic innervation in instrumental conditioning
.
J Neurosci
.
2009
;
29
(
20
):
6599
606
.
19.
Vaughan
RA
,
Foster
JD
.
Mechanisms of dopamine transporter regulation in normal and disease states
.
Trends Pharmacol Sci
.
2013
;
34
(
9
):
489
96
.
20.
Sesack
SR
,
Hawrylak
VA
,
Matus
C
,
Guido
MA
,
Levey
AI
.
Dopamine axon varicosities in the prelimbic division of the rat prefrontal cortex exhibit sparse immunoreactivity for the dopamine transporter
.
J Neurosci
.
1998
;
18
(
7
):
2697
708
.
21.
Männistö
PT
,
Ulmanen
I
,
Lundström
K
,
Taskinen
J
,
Tenhunen
J
,
Tilgmann
C
, et al
.
Characteristics of catechol O-methyl-transferase (COMT) and properties of selective COMT inhibitors
.
Prog Drug Res
.
1992
;
39
:
291
350
.
22.
Kaakkola
S
,
Teräväinen
H
,
Ahtila
S
,
Rita
H
,
Gordin
A
.
Effect of entacapone, a COMT inhibitor, on clinical disability and levodopa metabolism in parkinsonian patients
.
Neurology
.
1994
;
44
(
1
):
77
80
.
23.
Männistö
PT
,
Kaakkola
S
.
Catechol-O-methyltransferase (COMT): biochemistry, molecular biology, pharmacology, and clinical efficacy of the new selective COMT inhibitors
.
Pharmacol Rev
.
1999
;
51
(
4
):
593
628
.
24.
Roth
JA
.
Membrane-bound catechol-O-methyltransferase: a reevaluation of its role in the O-methylation of the catecholamine neurotransmitters
.
Rev Physiol Biochem Pharmacol
.
1992
;
120
:
1
29
.
25.
Käenmäki
M
,
Tammimäki
A
,
Myöhänen
T
,
Pakarinen
K
,
Amberg
C
,
Karayiorgou
M
, et al
.
Quantitative role of COMT in dopamine clearance in the prefrontal cortex of freely moving mice
.
J Neurochem
.
2010
;
114
(
6
):
1745
55
.
26.
Rothman
RB
,
Baumann
MH
.
Serotonergic drugs and valvular heart disease
.
Expert Opin Drug Saf
.
2009
;
8
(
3
):
317
29
.
27.
Sitte
HH
,
Huck
S
,
Reither
H
,
Boehm
S
,
Singer
EA
,
Pifl
C
.
Carrier-mediated release, transport rates, and charge transfer induced by amphetamine, tyramine, and dopamine in mammalian cells transfected with the human dopamine transporter
.
J Neurochem
.
1998
;
71
(
3
):
1289
97
.
28.
Jones
SR
,
Gainetdinov
RR
,
Jaber
M
,
Giros
B
,
Wightman
RM
,
Caron
MG
.
Profound neuronal plasticity in response to inactivation of the dopamine transporter
.
Proc Natl Acad Sci USA
.
1998
;
95
(
7
):
4029
34
.
29.
Rutherford
K
,
Daggett
V
.
A hotspot of inactivation: the A22S and V108M polymorphisms individually destabilize the active site structure of catechol O-methyltransferase
.
Biochemistry
.
2009
;
48
(
27
):
6450
60
.
30.
Malhotra
AK
,
Kestler
LJ
,
Mazzanti
C
,
Bates
JA
,
Goldberg
T
,
Goldman
D
.
A functional polymorphism in the COMT gene and performance on a test of prefrontal cognition
.
Am J Psychiatry
.
2002
;
159
(
4
):
652
4
.
31.
Chen
LY
,
Strain
EC
,
Alexandre
PK
,
Alexander
GC
,
Mojtabai
R
,
Martins
SS
.
Correlates of nonmedical use of stimulants and methamphetamine use in a national sample
.
Addict Behav
.
2014
;
39
(
5
):
829
36
.
32.
Hendershot
CS
,
Lindgren
KP
,
Liang
T
,
Hutchison
KE
.
COMT and ALDH2 polymorphisms moderate associations of implicit drinking motives with alcohol use
.
Addict Biol
.
2012
;
17
(
1
):
192
201
.
33.
Bousman
CA
,
Cherner
M
,
Glatt
SJ
,
Atkinson
JH
,
Grant
I
,
Tsuang
MT
, et al
.
Impact of COMT Val158Met on executive functioning in the context of HIV and methamphetamine
.
Neurobehav HIV Med
.
2010
;
2010
:
1
11
.
34.
Nohesara
S
,
Ghadirivasfi
M
,
Barati
M
,
Ghasemzadeh
MR
,
Narimani
S
,
Mousavi-Behbahani
Z
, et al
.
Methamphetamine-induced psychosis is associated with DNA hypomethylation and increased expression of AKT1 and key dopaminergic genes
.
Am J Med Genet B Neuropsychiatr Genet
.
2016
;
171
(
8
):
1180
9
.
35.
Sannino
S
,
Padula
MC
,
Managò
F
,
Schaer
M
,
Schneider
M
,
Armando
M
, et al
.
Adolescence is the starting point of sex-dichotomous COMT genetic effects
.
Transl Psychiatry
.
2017
;
7
(
5
):
e1141
.
36.
DeVito
EE
,
Sofuoglu
M
.
Catechol-O-Methyltransferase effects on smoking: a review and proof of concept of sex-sensitive effects
.
Curr Behav Neurosci Rep
.
2022
;
9
(
4
):
113
23
.
37.
McCane
AM
,
DeLory
MJ
,
Timm
MM
,
Janetsian-Fritz
SS
,
Lapish
CC
,
Czachowski
CL
.
Differential COMT expression and behavioral effects of COMT inhibition in male and female Wistar and alcohol preferring rats
.
Alcohol
.
2018
;
67
:
15
22
.
38.
Willing
J
,
Juraska
JM
.
The timing of neuronal loss across adolescence in the medial prefrontal cortex of male and female rats
.
Neuroscience
.
2015
;
301
:
268
75
.
39.
Castellano
JM
,
Bentsen
AH
,
Sánchez-Garrido
MA
,
Ruiz-Pino
F
,
Romero
M
,
Garcia-Galiano
D
, et al
.
Early metabolic programming of puberty onset: impact of changes in postnatal feeding and rearing conditions on the timing of puberty and development of the hypothalamic kisspeptin system
.
Endocrinology
.
2011
;
152
(
9
):
3396
408
.
40.
Korenbrot
CC
,
Huhtaniemi
IT
,
Weiner
RI
.
Preputial separation as an external sign of pubertal development in the male rat
.
Biol Reprod
.
1977
;
17
(
2
):
298
303
.
41.
Goldman
JM
,
Murr
AS
,
Cooper
RL
.
The rodent estrous cycle: characterization of vaginal cytology and its utility in toxicological studies
.
Birth Defects Res B Dev Reprod Toxicol
.
2007
;
80
(
2
):
84
97
.
42.
Mahmood
T
,
Yang
PC
.
Western blot: technique, theory, and trouble shooting
.
N Am J Med Sci
.
2012
;
4
(
9
):
429
34
.
43.
Robinson
TE
,
Berridge
KC
.
The neural basis of drug craving: an incentive-sensitization theory of addiction
.
Brain Res Rev
.
1993
;
18
(
3
):
247
91
.
44.
Sulzer
D
,
Sonders
MS
,
Poulsen
NW
,
Galli
A
.
Mechanisms of neurotransmitter release by amphetamines: a review
.
Prog Neurobiol
.
2005
;
75
(
6
):
406
33
.
45.
Cass
WA
,
Zahniser
NR
,
Flach
KA
,
Gerhardt
GA
.
Clearance of exogenous dopamine in rat dorsal striatum and nucleus accumbens: role of metabolism and effects of locally applied uptake inhibitors
.
J Neurochem
.
1993
;
61
(
6
):
2269
78
.
46.
Lotta
T
,
Vidgren
J
,
Tilgmann
C
,
Ulmanen
I
,
Melén
K
,
Julkunen
I
, et al
.
Kinetics of human soluble and membrane-bound catechol O-methyltransferase: a revised mechanism and description of the thermolabile variant of the enzyme
.
Biochemistry
.
1995
;
34
(
13
):
4202
10
.
47.
Brinks
AS
,
Carrica
LK
,
Tagler
DJ
,
Gulley
JM
,
Juraska
JM
.
Timing of methamphetamine exposure during adolescence differentially influences parvalbumin and perineuronal net immunoreactivity in the medial prefrontal cortex of female, but not male, rats
.
Dev Neurosci
.
2025
;
47
(
1
):
27
39
.
48.
Tseng
KY
,
O’Donnell
P
.
D2 dopamine receptors recruit a GABA component for their attenuation of excitatory synaptic transmission in the adult rat prefrontal cortex
.
Synap
.
2007
;
61
(
10
):
843
50
.
49.
Swerdlow
NR
,
Hines
SR
,
Herrera
SD
,
Weber
M
,
Breier
MR
.
Opposite effects of tolcapone on amphetamine-disrupted startle gating in low vs. high COMT-expressing rat strains
.
Pharmacol Biochem Behav
.
2013
;
106
:
128
31
.
50.
Herndon
JM
,
Cholanians
AB
,
Lizarraga
LE
,
Lau
SS
,
Monks
TJ
.
Catechol-o-methyltransferase and 3,4-({+/-})-methylenedioxymethamphetamine toxicity
.
Toxicol Sci
.
2014
;
139
(
1
):
162
73
.
51.
McCane
AM
,
Czachowski
CL
,
Lapish
CC
.
Tolcapone suppresses ethanol intake in alcohol-preferring rats performing a novel cued access protocol
.
Alcohol Clin Exp Res
.
2014
;
38
(
9
):
2468
78
.
52.
Cieslik-Starkiewicz
A
,
Noworyta
K
,
Solich
J
,
Korlatowicz
A
,
Faron-Górecka
A
,
Rygula
R
.
Identification of genes regulated by trait sensitivity to negative feedback and prolonged alcohol consumption in rats
.
Pharmacol Rep
.
2024
;
76
(
1
):
207
15
.
53.
Janhunen
S
,
Mielikäinen
P
,
Paldánius
P
,
Tuominen
RK
,
Ahtee
L
,
Kaakkola
S
.
The effect of nicotine in combination with various dopaminergic drugs on nigrostriatal dopamine in rats
.
Naunyn Schmiedebergs Arch Pharmacol
.
2005
;
371
(
6
):
480
91
.
54.
Cao
YA
,
Featherstone
RE
,
Gandal
MJ
,
Liang
Y
,
Jutzeler
C
,
Saunders
J
, et al
.
Nicotine normalizes event related potentials in COMT-Val-tg mice and increases gamma and theta spectral density
.
Behav Neurosci
.
2012
;
126
(
2
):
332
43
.
55.
García-Carmona
JA
,
Georgiou
P
,
Zanos
P
,
Bailey
A
,
Laorden
ML
.
Methamphetamine withdrawal induces activation of CRF neurons in the brain stress system in parallel with an increased activity of cardiac sympathetic pathways
.
Naunyn Schmiedebergs Arch Pharmacol
.
2018
;
391
(
4
):
423
34
.
56.
Chen
J
,
Song
J
,
Yuan
P
,
Tian
Q
,
Ji
Y
,
Ren-Patterson
R
, et al
.
Orientation and cellular distribution of membrane-bound catechol-O-methyltransferase in cortical neurons: implications for drug development
.
J Biol Chem
.
2011
;
286
(
40
):
34752
60
.
57.
Schott
BH
,
Frischknecht
R
,
Debska-Vielhaber
G
,
John
N
,
Behnisch
G
,
Düzel
E
, et al
.
Membrane-bound catechol-O-methyl transferase in cortical neurons and glial cells is intracellularly oriented
.
Front Psychiatry
.
2010
;
1
:
142
.
58.
Myöhänen
TT
,
Männistö
PT
.
Distribution and functions of catechol-O-methyltransferase proteins: do recent findings change the picture
.
Int Rev Neurobiol
.
2010
;
95
:
29
47
.
59.
Reenilä
I
,
Tuomainen
P
,
Soinila
S
,
Männistö
PT
.
Increase of catechol-Omethyltransferase activity in rat brain microglia after intrastriatal infusion of fluorocitrate, a glial toxin
.
Neurosci Lett
.
1997
;
230
(
3
):
155
8
.
60.
Helkamaa
T
,
Reenilä
I
,
Tuominen
RK
,
Soinila
S
,
Väänänen
A
,
Tilgmann
C
, et al
.
Increased catechol-O-methyltransferase activity and protein expression in OX42-positive cells in the substantia nigra after lipopolysaccharide microinfusion
.
Neurochem Int
.
2007
;
51
(
6–7
):
412
23
.
61.
Brenhouse
HC
,
Schwarz
JM
.
Immunoadolescence: neuroimmune development and adolescent behavior
.
Neurosci Biobehav Rev
.
2016
;
70
:
288
99
.
62.
Nusslock
R
,
Alloy
LB
,
Brody
GH
,
Miller
GE
.
Annual Research Review: neuroimmune network model of depression: a developmental perspective
.
J Child Psychol Psychiatry
.
2024
;
65
(
4
):
538
67
.
63.
Jayanthi
S
,
Daiwile
AP
,
Cadet
JL
.
Neurotoxicity of methamphetamine: main effects and mechanisms
.
Exp Neurol
.
2021
;
344
:
113795
.
64.
Hammerslag
LR
,
Waldman
AJ
,
Gulley
JM
.
Effects of amphetamine exposure in adolescence or young adulthood on inhibitory control in adult male and female rats
.
Behav Brain Res
.
2014
;
263
:
22
33
.
65.
Sherrill
LK
,
Stanis
JJ
,
Gulley
JM
.
Age-dependent effects of repeated amphetamine exposure on working memory in rats
.
Behav Brain Res
.
2013
;
242
:
84
94
.
66.
Baron
SP
,
Wright
D
,
Wenger
GR
.
Effects of drugs of abuse and scopolamine on memory in rats: delayed spatial alternation and matching to position
.
Psychopharmacology
.
1998
;
137
(
1
):
7
14
.
67.
Naneix
F
,
Marchand
AR
,
Di Scala
G
,
Pape
JR
,
Coutureau
E
.
Parallel maturation of goal-directed behavior and dopaminergic systems during adolescence
.
J Neurosci
.
2012
;
32
(
46
):
16223
32
.
68.
Molina
BSG
,
Kennedy
TM
,
Howard
AL
,
Swanson
JM
,
Arnold
LE
,
Mitchell
JT
, et al
.
Association between stimulant treatment and substance use through adolescence into early adulthood
.
JAMA Psychiatry
.
2023
;
80
(
9
):
933
41
.
69.
McCabe
SE
,
Schulenberg
JE
,
Wilens
TE
,
Schepis
TS
,
McCabe
VV
,
Veliz
PT
.
Cocaine or methamphetamine use during young adulthood following stimulant use for attention-deficit/hyperactivity disorder during adolescence
.
JAMA Netw Open
.
2023
;
6
(
7
):
e2322650
.
70.
Westbrook
SR
,
Carrica
LK
,
Banks
A
,
Gulley
JM
.
AMPed-up adolescents: the role of age in the abuse of amphetamines and its consequences on cognition and prefrontal cortex development
.
Pharmacol Biochem Behav
.
2020
;
198
:
173016
.
71.
Segal
DS
,
Kuczenski
R
,
O’Neil
ML
,
Melega
WP
,
Cho
AK
.
Escalating dose methamphetamine pretreatment alters the behavioral and neurochemical profiles associated with exposure to a high-dose methamphetamine binge
.
Neuropsychopharmacology
.
2003
;
28
(
10
):
1730
40
.
72.
Belcher
AM
,
O’Dell
SJ
,
Marshall
JF
.
A sensitizing regimen of methamphetamine causes impairments in a novelty preference task of object recognition
.
Behav Brain Res
.
2006
;
170
(
1
):
167
72
.