Abstract
Methamphetamine (MA) abuse remains a public health issue. Prenatal MA exposure (PME) poses a significant health problem, as we know very little about the drug’s long-term physiological impact on the developing human brain. We investigated the long-term consequences of early MA exposure using a mouse model that targets the brain growth spurt, which occurs during human third-trimester. Adult mice previously subjected to acute MA during post-natal days 4-9 exhibited hyperactivity during the Open-Field test, while exhibiting no motor coordination changes during the Rotarod test. Neonatal MA exposure reduced basal dopamine (DA) uptake rates in adult nucleus accumbens slices compared with saline controls. Although slices from neonatal MA-exposed mice showed no change in evoked DA signals in the presence of MA, they exhibited potentiated non-evoked DA release through DA efflux in response to MA. These data suggest that developmental MA exposure alters brain development to produce long-lasting physiological changes to the adult mesolimbic DA system, as well as altering responses to acute MA exposure in adulthood. This study provides new insights into an important, under-investigated area in drugs of abuse research.
Keywords: dopamine, methamphetamine, development, prenatal methamphetamine exposure, fast-scan cyclic voltammetry
Introduction
Methamphetamine (MA) is a high-efficacy psychostimulant with devastating health effects and high potential for abuse (Krasnova and Cadet 2009). MA abuse has re-emerged as a serious public health concern in the United States over the past decade (Hedegaard et al. 2018; Jones et al. 2020). Usage rates amongst pregnant women are particularly concerning as they range from 0.7% to 4.8% (Wright et al. 2015). While the teratogenic effects of drugs like alcohol and cocaine have been extensively investigated, our knowledge of prenatal methamphetamine exposure (PME) is still limited (Kwiatkowski et al. 2018). A growing body of literature suggests that PME causes behavioral and psychiatric disturbances in humans (Abar et al. 2013; Diaz et al. 2014; Kiblawi et al. 2014). Dopamine (DA) dysfunctions during development may contribute to these effects (Kwiatkowski et al. 2014; Thompson et al. 2009). PME may also cause a heightened sensitivity to MA and other drugs of abuse later in life (Glantz and Chambers 2006; Macuchova and Slamberova 2017a). Rodent studies have revealed long-term effects of developmental MA exposure including memory and cognition impairment (Jablonski et al. 2017; Siegel et al. 2011), altered stress response (Zuloaga et al. 2015), and heightened sensitivity to cocaine in adulthood (McFadden et al. 2011). Additionally, the vulnerability of the developing rodent brain to MA-induced oxidative damage (Tsai et al. 2019) and DA terminal degradation (Kaewsuk et al. 2009) has been described. Although some studies have assessed the effects of developmental MA administration on the DA system (Graham et al. 2013), the long-term impact remains under-investigated.
To investigate MA’s impact on the developing DA system, we exposed mice to MA postnatally during the ‘brain growth spurt’, which occurs during the third trimester of human pregnancy (Dobbing and Sands 1979). MA exposure during this critical period of intense neural cell proliferation and differentiation may cause long-lasting changes to the DA system (Patten et al. 2014). MA elevates extracellular DA by inhibiting uptake via the dopamine transporter (DAT) as well as by causing the reverse transport of DA through DAT, a phenomenon known as ‘DA efflux’ (Seiden et al. 1993; Sulzer et al. 1992). We employed fast-scan cyclic voltammetry (FSCV) to measure dopaminergic activity in brain slices from mice neonatally exposed to MA. Our results suggest neonatal MA exposure alters striatal DA transmission and may enhance the response to MA later in life.
Methods
Animals and experimental design
Wild-type C57/BL6 mice from one litter were subcutaneously injected with MA (5mg/kg) (3 males, 4 females) or phosphate-buffered saline (PBS) (1 male, 2 females) once daily during post-natal days (PND) 4-9. Behavior was tested at 5 months of age, and FSCV experiments performed in months 7-9. Successful FSCV experiments were only obtained from 2 controls and 6 MA-treated mice. Therefore, two additional female mice from a second litter that had received PBS injection were used as controls to increase the sample size. Additionally, non-evoked FSCV data from 1 subject in the MA-treated group was excluded due to lack of a stable baseline recording.
Behavior
Rotarod:
Mice were placed onto a rotating cylinder (Stoelting) that began rotating at 4rpm and increased to 40rpm over 5 minutes. Mice were given 4 trials a day with a 30 minute inter-trial period for 2 consecutive days.
Open Field:
Mice were placed into an open field apparatus (50 x 50cm) for 5 minutes. Movement was tracked and analyzed via camera using video-tracking software (VideoMot 2, TSE Systems).
Fast-scan cyclic voltammetry
Brains were extracted and coronal slices (350μm) made in ice-cold artificial cerebral spinal fluid (ACSF) as previously described (Torres et al. 2021). DA release was evoked in the nucleus accumbens (NAc) shell with trains of 10 stimuli at 10 Hz, 370 μA, every 2 minutes. Voltammetric recordings were collected and analyzed using the LabVIEW (RRID:SCR_014325; National Instruments, Austin, TX)-based software Demon Voltammetry and Analysis Software (RRID:SCR_014468) and fitted to a Michaelis-Menten-based kinetic model as previously reported (Yorgason et al. 2011), where Vmax represents the rate of DA uptake and Km represents the apparent affinity of DA for DAT. Vmax was measured at baseline and kept constant throughout the experiment while Km was set to 160nM at baseline (Wu et al. 2001) and increased to model uptake inhibition by MA.
Following 30 minutes of stable baseline recording, MA (10μM, 2 times the measured EC50 when applied to mouse NAc slices) (Hedges et al. 2018) was bath applied in ACSF for 30 min. DA efflux was monitored by sampling and averaging current readouts for 5-second epochs just prior to each stimulation train.
Statistics
Differences between groups were compared using the non-parametric assigned-rank Mann-Whitney U test. Pearson correlation coefficients were calculated using Vmax and Km values from individual experiments. Time-course data are shown as mean ± S.E.M. and data used for direct comparisons between groups are shown as box-whisker plots displaying median and quartiles.
Results and Discussion
Motor coordination appeared unaffected in neonatal MA-exposed mice as they performed similarly to controls in the Rotarod test (Fig. 1a), however, they displayed increased locomotor activity in the Open Field test (Mann-Whitney U test: p = 0.024) (Fig. 1b). Although the amplitude of stimulated DA release measured in brain slices extracted in adulthood was unchanged, DA uptake rates (Vmax) in the neonatal MA group were decreased to ~63% of controls (Mann-Whitney U test: p = 0.0095) (Fig. 1c, d). Past studies correlated less-than-two-fold changes in Vmax with significant alterations in behavior (Kaplan et al. 2016; Salahpour et al. 2008).
Exposing brain slices to MA (10μM) augmented evoked DA release roughly two-fold, followed by a gradual return to baseline. This effect did not differ between groups (Fig. 2a, b). The impairment of DA uptake caused by MA (Km) was reduced in slices taken from mice neonatally exposed to MA, however (Mann-Whitney U test of Max Km: p = 0.04; Area under the curve: *p = 0.02) (Fig. 2c-e). This could be due to altered DAT availability or functionality, or altered DA metabolism dynamics (Schaefer et al. 2006). Baseline uptake rates correlated positively with the degree of MA-induced uptake inhibition (Fig. 2f, g), indicating a robust selectivity of MA for DAT similar to that previously demonstrated with amphetamine (Calipari et al. 2015). Surprisingly, slices from neonatal MA-exposed mice exhibited greater MA-induced DA efflux than controls (Mann-Whitney U test comparing peak response: p = 0.03) (Fig. 2h, i). Whether this represents a greater susceptibility to the psychostimulant or addictive effects of MA remains a worthy course of investigation.
Human studies have reported reduced DAT levels in MA abusers, taken to indicate DA terminal loss (Volkow et al. 2001). In rodents, hyperactivity results from DAT knockout (Spielewoy et al. 2000) and hypofunction (Mereu et al. 2017). However, animal models with increased DAT activity can also exhibit hyperlocomotion, likely through enhanced DA release (Yorgason et al. 2016; Yorgason et al. 2013). Thus, different mechanisms of increasing extracellular DA can increase locomotion. Dopamine D2 receptors, which can be desensitized by neonatal MA exposure (Graham et al. 2013), may down-regulate DAT surface expression via direct protein-protein interactions (Lee et al. 2007). Collectively, our data demonstrate that MA exposure during PND 4-9 results in long-lasting changes to mesolimbic DA activity.
Several factors should be considered while interpreting the findings of this study. First, although the results may have been influenced by sex, there were not sufficient numbers to detect statistical differences no apparent correlations were noted. While a single dose concentration was chosen for neonatal injections and challenge of brain slices, including varying doses might provide additional insight. We exposed mice to MA during PND 4-9 in order to target the brain growth spurt, which occurs postnatally in rodents and during the third trimester in humans (Dobbing and Sands 1979). However, although some similarity in neurodevelopmental events exists between rodents and humans, they are not exactly the same and, thus, the specific molecular processes involved must be further dissected. Importantly, although neonatal MA exposure induced hyperactivity in adulthood, exposure did not seem to alter motor coordination in our study despite MA being toxic to nigrostriatal neurons (Ares-Santos et al. 2014). Further voltammetrics studies should include the caudate-putamen to determine if changes are specific to the mesolimbic system. Finally, an important caveat is the fact that, although numerous rodent studies have reported effects of developmental MA lasting into adulthood, studies in humans have focused on children. To our knowledge, however, this is the first study to use FSCV to investigate the long-term physiological effects of developmental MA exposure in mice and provides important phyiological insights on PME.
The notion that PME increases sensitivity to MA and other drugs of abuse later in humans has been proposed by previous studies (Macuchova and Slamberova 2017b). Our results are evidence of physiological changes to the dopamine system, however it is not possible to relate the current findings to abuse liability. Future studies should, therefore, include assays of abuse liability. Since PME studies in humans are often confounded by sociological and genetic factors (Kwiatkowski et al. 2014), substantial work with animal models is required to investigate the mechanisms involved and guide human studies accordingly.
Acknowledgements
The authors wish to thank Ann Hashimoto and for technical assistance.
Funding
This work was supported by the National Institutes of Health [grant numbers R24 DA027318, P20-RR016467, G12MD007601, and F32 DK124963].
Footnotes
Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.
Conflict of interest
None.
Ethical approval
All mouse care and experimental procedures were approved by the UH Manoa Institutional Animal Care and Use Committee (IACUC) and conducted in accordance with the National Research Council’s Guide for the Care and Use of Laboratory Animals.
Data availability
The datasets supporting the conclusions of this article are included within the article and its additional files.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets supporting the conclusions of this article are included within the article and its additional files.