Abstract
Cigarette smoking, nicotine replacement therapy and smokeless tobacco use during pregnancy are associated with cognitive disabilities later in life in children exposed prenatally to nicotine. The disabilities include attention deficit hyperactivity disorder (ADHD) and conduct disorder. However, the structural and neurochemical bases of these cognitive deficits remain unclear. Using a mouse model we show that prenatal nicotine exposure produces hyperactivity, selective decreases in cingulate cortical volume and radial thickness as well as decreased dopamine turnover in the frontal cortex. The hyperactivity occurs in both male and female offspring and peaks during the “active” or dark phase of the light-dark cycle. These features of the mouse model closely parallel the human ADHD phenotype, whether or not the ADHD is associated with prenatal nicotine exposure. A single oral, but not intraperitoneal, administration of a therapeutic equivalent dose (0.75 mg/kg) of methylphenidate decreases the hyperactivity and increases the dopamine turnover in the frontal cortex of the prenatally nicotine exposed mice, once again paralleling the therapeutic effects of this compound in ADHD subjects. Collectively, our data suggest that the prenatal nicotine exposure mouse model has striking parallels to the ADHD phenotype not only in behavioral, neuroanatomical and neurochemical features but also with respect to responsiveness of the behavioral phenotype to methylphenidate treatment. The behavioral, neurochemical and anatomical biomarkers in the mouse model could be valuable for evaluating new therapies for ADHD and mechanistic investigations into its etiology.
Introduction
Prenatal exposure to nicotine can produce lifelong changes in the brain and behavior of the exposed individual (Slotkin et al., 1987; Ernst et al., 2001; Pauly et al., 2004; Wickstrom, 2007). Although cigarette smoking among pregnant women and women of childbearing age has declined in recent years, exposure to nicotine during pregnancy via nicotine replacement therapy, smokeless tobacco, as well as direct and secondhand cigarette smoke continues to be a serious problem all over the world [review in (Wickstrom, 2007)]. Although cigarette smoke contains thousands of unique ingredients, many of which are harmful, the behavioral effects of cigarette smoke exposure appear to be mainly due to the actions of nicotine on the developing and mature brain (Slotkin et al., 1987; Navarro, 1989).
The principal direct effect of nicotine on the fetal brain is on the nicotinic acetylcholine receptors (Slotkin et al., 1987; Slotkin, 2004). Since cholinergic signaling regulates release of other neurotransmitters including dopamine (Chesselet, 1984), and since neurotransmitters regulate neurogenesis, neuronal migration, and differentiation (Crandall et al., 2007; Bhide, 2009), the consequences of fetal nicotine exposure extend well beyond cholinergic dysfunction [review in (Wickstrom, 2007; Cornelius and Day, 2009)]. Specifically, previous studies indicate that nicotine exposure alters dopaminergic signaling in the fetal brain (Richardson and Tizabi, 1994), and dopaminergic signaling plays key roles in the regulation of fetal brain development (Bhide, 2009).
Cigarette smoking during pregnancy is associated with cognitive disabilities in the offspring including attention deficit hyperactivity disorder (ADHD) and conduct disorder (Milberger et al., 1996; Milberger et al., 1998; Ernst et al., 2001; Fried and Watkinson, 2001; Cornelius and Day, 2009). However, other studies reported minor, if any, adverse cognitive consequences of maternal cigarette smoking for the exposed children (Thapar et al., 2009; Obel et al., 2011). Thus, the evidence in favor of deleterious consequences of prenatal nicotine exposure should be balanced against findings of minor or no such consequences.
We showed recently that children born to mothers who smoked cigarettes during pregnancy showed symptoms of ADHD that are indistinguishable from the ADHD symptoms due to other etiologies (Biederman et al., 2012). Our study in human subjects could not answer key questions such as whether prenatal nicotine exposure altered brain structure, neurotransmitter content and behavior and whether such changes could be mitigated by methylphenidate (MPH), a stimulant compound with proven efficacy in treatment of ADHD. Here, we use a mouse model of prenatal nicotine exposure to address these unanswered questions and test the hypothesis that prenatal nicotine exposure produces alterations in locomotor activity, neurotransmitter content, and brain structure, and that these changes can be ameliorated by MPH treatment.
Our data show that prenatal nicotine exposure produces hyperactivity, decreases in cingulate cortical volume and radial thickness, and decreased dopamine turnover in the frontal cortex of mice. A single oral administration of therapeutic equivalent doses (0.75 mg/kg) of MPH decreases the hyperactivity and increases the dopamine turnover. Thus, our mouse model recapitulates the behavioral, neurochemical and anatomical changes and responsiveness to stimulant treatment associated with ADHD.
Materials and Methods
Animals
C57BL/6 mice were purchased from Charles River Laboratories (Wilmington, MA) and housed in our institutional animal facility on a 12h light/dark cycle (lights off at 19:00 hr and on at 07:00 hr). All the experimental procedures described below were in full compliance with institutional and NIH guidelines for the care and use of laboratory animals.
Prenatal Nicotine Exposure
We administered nicotine in saccharin-flavored drinking water (0.05, 0.1 or 0.2 mg/ml (−)-nicotine dissolved in 2% saccharin, Sigma Chemical Co. St. Louis, MO) to female C57Bl/6 mice starting 3 weeks prior to mating and throughout pregnancy. The male breeders were not exposed to nicotine. Control groups included mice receiving 2% saccharin in drinking water or plain drinking water without additives. Thus, we created 3 prenatal exposure groups: prenatal nicotine + saccharin exposure (PNE); prenatal saccharin exposure (SAC); and prenatal plain drinking water exposure (WATER). On the day of birth (postnatal day 0; P0), offspring in the PNE and SAC groups were cross-fostered to drug-naïve nursing mothers. The offspring from the WATER group were not cross-fostered. The litter size was standardized to 6–8 pups in each of the 3 groups of mice on P0. The offspring in each group were weighed every day from P3 to P42. We did not weigh the offspring on P0, P1 or P2 so as not to unduly disturb the mother or the litter.
In the experiments described below, we used not more than one male and one female offspring from any given litter to minimize the contribution of litter effects to the data. We used 10–12 liters of mice from each experimental group in order to achieve an “n” of 8–12 for each type of analysis.
Administration of MPH
Methylphenidate HCl (Sigma) was dissolved in saline (pH 7.4) and administered by oral gavage or intraperitoneal injection to P42 or P60 mice. The MPH doses used for the intraperitoneal administration were 0.75, 1.5, 3.5 or 7.5 mg/kg. The MPH dose used for oral gavage was 0.375 or 0.75 mg/kg. The gavage volume was kept constant at approximately 10µl/g body weight.
Analysis of Spontaneous Locomotor Activity
On the day of analysis, the mice (P42–P60) were removed from their home cages, where they had been housed in groups of 3–4, and individually placed in the testing cages equipped with photobeam motion sensors (Photobeam Activity System; San Diego Instruments, San Diego, CA). Each instance in which consecutive breaks were recorded in adjacent photobeams (positioned 5.4 cm apart) was scored as an ambulatory event. Photobeam breaks were grouped into hourly activity measurements for statistical analysis. Since locomotor activity increased transiently immediately upon placement of the mice in the novel environment (i.e. test cage), we did not include in our analysis locomotor activity during the initial 2 hours upon placement of the mouse in the testing chamber.
High Performance Liquid Chromatography (HPLC)
Mice were decapitated, the brains were removed from the skulls and cut into 500 µm thick coronal slices using a brain slice matrix (Fisher Scientific, Fairlawn, NJ). The frontal cortex and striatum were identified in the slices based on anatomical landmarks (Paxinos and Franklin, 2001) and samples of each region were collected as described earlier (Balcioglu et al., 2009; Ren et al., 2011). For each brain region, samples from the right and left hemispheres from the same subject were pooled into a single sample for that subject. Each pooled sample was weighed immediately upon dissection. The tissue samples (at least 10 mg tissue per sample) were homogenized in 200 µl of extraction buffer (50 mM Phosphoric acid, 0.1 mM EDTA, 50 µM methyl-DOPA (internal standard), and 1 µM DHBA (internal standard). The protein concentration in each sample was evaluated with BCA protein assay method. The samples were stored at −80°C until further analysis.
Tissue concentrations of dopamine (DA), serotonin (5-HT) and their metabolites, 3,4 dihydroxyphenylacetic acid (DOPAC) and 5-hydroxyindoleacetic acid (5HIAA) were analyzed using an isocratic method with electrochemical detection and a Varian Microsorb-MV reverse-phase column (150×4.6 mm, C18, 5um pore size). The mobile phase was based on the MD-TM mobile phase (ESA Biosciences, Dionex Corp) and was composed of 75 mM Sodium phosphate, 1.75 mM 1-octanesulfonate sodium salt, 100 µl/L triethylamine, 25 µM EDTA, and 10% acetonitrile. The flow rate was 0.6 ml/min and the injection volume of each sample was 15 µl. Detection was performed using a coulometric cell with an analytical potential of +225 mV. Data collection was performed by a CouloChem II detector and EZChrom Elite Software.
Concentration of analysates was determined using a standard curve at the beginning of every run. DHBA was used as an internal standard to correct for minor variations between biological samples in each run. Concentrations (fmol/mg protein) of dopamine, serotonin and their metabolites were calculated by using the formula "fmol/mg protein= µM*15/loading µg protein*1000".
Stereological Estimation of Regional Brain Volume
Mice were anesthetized on P42 (Ketamine, 50 mg/kg body weight and Xylazine, 10 mg/kg body weight, i.p.) and perfused through the heart with 4% paraformaldehyde in 0.1 M phosphate buffer, pH 7.2. The brains were removed and post-fixed in the same fixative at 4 °C overnight and cryoprotected in 30% sucrose at 4 °C overnight. The cryoprotected brains were frozen in powdered dry ice, mounted on a sliding microtome stage and coronal sections were cut at 50 µm thickness. Every section that contained the cingulate cortex and caudate–putamen was collected in rostral-to-caudal serial order in phosphate buffer (0.1 M, pH 7.2). Our preliminary studies established that analysis of every 4th section of the series provided accurate estimates of regional brain volume. Therefore, based on the roll of a die every 4th section of the series was chosen. The caudate–putamen was identified using anatomical landmarks [corpus callosum, external capsule, lateral ventricle, globus pallidus and anterior commissure (Paxinos and Franklin, 2001; McCarthy et al., 2007)]. Cingulate cortex included Cg1 (cingulate cortex area 1) and Cg2 (cingulate cortex area2). Stereo investigator software (MBF Bioscience, Williston, VT) was used to estimate volume of the different brain regions (Table 2). The hardware for microscopic analysis consisted of a light microscope (Nikon E2000) connected to a cool CCD camera (Microfire; Optronics, Goleta, CA), motorized X–Y stage (Ludl Electronics Products, Hawthorne, NY), z-axis indicator (MT12 microcator; Heidenhain, Traunreut, Germany) and a computer running Stereo Investigator software (Microbrightfield, Inc., Colchester, VT). The Cavalieri method was used to evaluate the regional brain volumes (McCarthy et al., 2007; McCarthy et al., 2011).
Table 2.
SAC mm3 |
PNE mm3 |
% Change | Normalized by SAC % hemispheric volume |
Hemisphere PNE % hemispheric volume |
% Change | |
---|---|---|---|---|---|---|
Hemisphere | 60.47 ± 1.53 | 57.58 ± 1.24 | −4.8 | |||
Cingulate cortex | 2.51 ± 0.25 | 1.91 ± 0.12 * | −23.9 | 4.11 ± 0.34 | 3.29 ± 0.16 * | −19.8 |
Striatum | 11.14 ± 0.39 | 10.50 ± 0.37 | −5.7 | 18.43 ± 0.45 | 18.20 ± 0.37 | −1.2 |
Sensory-motor cortex | 20.76 ± 0.52 | 20.89 ± 0.42 | 0.6 | 34.34 ± 0.26 | 36.34 ± 0.68 * | 5.8 |
Corpus callosum | 3.06 ± 0.11 | 2.89 ± 0.09 | −5.5 | 5.05 ± 0.1 | 5.02 ± 0.13 | −0.5 |
Lateral ventricles | 2.09 ± 0.122 | 2.25 ± 0.11 | 7.8 | 3.46 ± 0.21 | 3.9 ± 0.12 | 12.5 |
The mice were males and aged P42. (n=11 for each SAC or PNE, student t-test, * p<0.05)
Measurement of the radial (length) and vertical (width) dimensions of the cingulate cortex
In every section that was used for the stereological volumetric analysis of the cingulate cortex from 6 brains from each experimental group, we measured the vertical and horizontal dimensions of the gray matter of the cingulate cortex.
Data analysis
Differences between experimental groups were analyzed for statistical significance by ANOVA whenever more than 2 groups were being compared. For comparison of the effects of prenatal treatment (WATER, SAC, PNE) on male and female mice during lights-on and lights-off periods (prenatal treatment × gender × time), we used 3-ANOVA. In other cases involving more than two groups, two- or one-ANOVA was used. When significant difference (p<0.05) was found by ANOVA, a multiple comparison post hoc Test (Tukey-Kramer) was applied to identify groups differing significantly from each other. When only 2 experimental groups were compared, we used a Student’s t-test.
Results
The effects of nicotine dose on survival and locomotor activity
Although we used 0.05, 0.1 and 0.2 mg/ml nicotine in the PNE group, we found that mortality among offspring in the 0.2 mg/ml nicotine exposure group was so high that fewer than 4 pups survived in any given litter beyond the first postnatal week. Therefore, we did not continue using this dose of nicotine any further. To determine the lowest nicotine dose that produced changes in locomotor activity, we compared locomotor activity among 3 groups of male mice: SAC mice, 0.05 mg/ml nicotine group and 0.1mg/ml nicotine group. The locomotor activity was analyzed over a 4 hr period beginning at 08:00 hrs. We used P42 and P60 mice to determine if any effects of the PNE were transient during the early postnatal period (i.e. at P42) or if they lasted into young adulthood (P60). ANOVA revealed significant effects of the PNE in both P42 and P60 groups (P42: F(2,27)=10.8, p=0.004; P60: F(2,27)=4.78, p=0.001). Tukey-Kramer multiple comparison tests showed that the activity in the 0.1mg/ml group was significantly higher than that in the SAC group both at P42 (p<0.001) and P60 (p<0.05). However, there was no significant difference in locomotor activity between the 0.05 mg/ml nicotine group and the SAC group. Since the 0.05 mg/ml nicotine group did not show significant changes in locomotor activity and since the 0.2 mg/ml nicotine exposure group showed high newborn mortality, the 0.1mg/ml nicotine exposure represented the lowest effective nicotine dose in our model. Therefore, we used this nicotine dose in the remaining studies, and in the description below PNE refers to 0.1 mg/ml nicotine exposure.
Body weight
We compared body weights of offspring in each of the 3 experimental groups daily from P3 to P42. ANOVA revealed significant effects of the prenatal treatment on body weight measurements on P3 [Mean±SEM body weight (g): PNE = 2.48±0.07, SAC = 2.76±0.08; WATER=2.76±0.06. F(2,87)= 4.536, p<0.05]. Multiple comparison test revealed that the offspring in the PNE group weighed significantly less than the offspring in the SAC group. However, there was no significant difference in the body weight among the 3 groups at any of the subsequent postnatal time points. No significant difference was found between the plain drinking water and saccharin alone groups of mice at any time during the interval P3 to P42.
Spontaneous Locomotor Activity
Next we performed a detailed comparison of spontaneous locomotor activity among the WATER, SAC and PNE experimental groups. The activity was analyzed over a 21-hour period beginning at 15:00 hr and ending at 12:00 hr the following day. The activity was measured at hourly intervals (Fig 2 A, B) separately in males and females in each of the 3 experimental groups (WATER, SAC and PNE). The distribution of hourly locomotor activity data (Fig. 2 A, B) in male and female mice showed that in both cases, the mice in the PNE group were more active than the mice in the SAC and WATER groups during the lights off period (19:00 to 07:00 hr) compared to the lights on periods from 15:00 to 07:00 hr and 07:00 to 12:00 hr. Moreover, the activity levels during the lights-on period were different immediately following the lights-off period and immediately preceding the lights-off period. In other words, the activity levels were not uniform throughout the lights-on period. Therefore, we analyzed the data separately for each of the following 3 sessions (Fig. 2D, E, F): 15:00 to 19:00 hr (lights-on, immediately preceding the lights-off period), 19:00 to 07:00 hr (lights-off), and 07:00 to 12:00 hr (lights-on, immediately following the lights-off period). Thus, we partitioned the locomotor activity into a single lights-off period separated by the two lights-on periods. In each of the 3 sessions, separate analysis was performed for male and female mice.
To determine whether prenatal treatment (PNE, SAC, WATER) produced differential effects based on gender (male, female), and time of day (15:00 to 19:00 hr, 19:00 to 07:00 hr, and 07:00 to 12:00 hr), we performed 3-way ANOVA. The analysis focused on three main effects (prenatal treatment, gender, and time), three 2-way interactions (prenatal treatment × gender, prenatal treatment × time, and gender × time), and one 3-way interaction (gender × prenatal treatment × time). Although the 3-way interaction was not significant (F(4, 228)=1.088, p=0.36), we found statistically significant main effects of prenatal treatment (F(2, 228)= 38.36, p<0.0001) and time (F(2, 228)= 163.57, p<0.0001), and statistically significant 2-way interaction between prenatal treatment and time (F(4, 228)=13.244, p<0.0001). The main effects of gender were not statistically significant (F(1, 228) = 5.90, p=0.06). Pairwise comparisons revealed that male and female mice in the PNE group showed significantly higher locomotor activity compared to their counterparts in the SAC and WATER groups (for each comparison, p<0.05). There was no significant difference between SAC and WATER groups for either males or females. The male and female mice in the PNE group showed significantly higher locomotor activity compared to their counterparts in the SAC and WATER groups for the 19:00 to 07:00 hr lights-off period, and the 07:00 to 12:00 hr lights-on period (for each comparison, p<0.05). However, there were no significant differences in either male or female mice among the three prenatal treatment groups during the 15:00 to 019:00 hr lights on period. Thus, PNE produced significant increases in spontaneous locomotor activity in male and female mice during the lights off period (19:00 to 07:00 hr) and during the lights-on period immediately following the lights-off period (07:00 to 12:00 hr).
Since the male and female mice in the SAC group did not show significant differences in locomotor activity compared to the male and female mice in the WATER group in the analyses above, to minimize the numbers of mice subjected to experimental procedures, we did not create the WATER group for further analysis. Therefore, only the PNE and SAC groups were used in the analyses discussed hereafter.
Effects of MPH on spontaneous locomotor activity
In an initial series of studies, we sought to establish a dose and route of MPH administration that influenced the hyperactivity observed in the PNE group of mice. We had shown in an earlier paper (Balcioglu et al., 2009) that 0.75 mg/kg MPH administered orally produced serum and brain levels of MPH that were comparable to the levels seen in human subjects given oral therapeutic doses of MPH. Therefore, we used 0.75 mg/kg MPH via the oral route of administration. For comparison, we also included 0.375 mg/kg oral dose. Since the route of MPH administration can influence its effects (Patrick and Markowitz, 1997; Gerasimov et al., 2000; Kuczenski and Segal, 2002, 2005) we also used intraperitoneal route of administration at doses of 0.75, 1.5, 3.5 or 7.5 mg/kg MPH. The analysis was performed over a 4 hr period beginning at 08:00 hr. Since the PNE-induced hyperactivity was comparable between male and female mice (Fig. 2), and since our limited resources did not permit us to use both the sexes in every experiment, only male mice were used in this preliminary study. The mice were placed in the testing apparatus at 08:00 hr, a convenient time point for the experiments and also because the locomotor activity in the PNE group was significantly higher than that in the SAC or WATER groups at this time point (Fig. 2). MPH or saline was administered one hr later, at 09:00 hr, and the locomotor activity was recorded from 09:00 to 12:00 hr (Fig. 3).
As expected, loomotor activity in the PNE group of mice was higher than that in the SAC group upon saline administration, whether the saline was administered intraperitoneally (Fig. 3A) or orally (Fig. 3B). ANOVA revealed that the intraperitoneal MPH administration produced significant overall effects on locomotor activity in both the PNE and SAC groups (PNE: F(4, 19)=3.32, p=0.03; SAC: F(4, 25)=22.0, p=0.0001). Tukey-Kramer multiple comparison test revealed significant differences between each of 0, 0.75 and 1.5 mg/kg MPH versus each of 3.75 and 7.5 mg/kg MPH in the SAC group (p<0.001 for each pairwise comparison). However, there was no significant difference between any given pair of doses in the PNE group. Thus, intraperitoneal MPH administration did not produce any effect on locomotor activity in the PNE group at any of the doses tested, whereas it increased locomotor activity at doses higher than 3.75 mg/kg in the SAC group.
ANOVA of the data on the effects of oral administration of MPH revealed that the drug administration produced significant effects on locomotor activity in the PNE group of mice (F(2, 13)=6.51, p=0.01) but not in the SAC group. Pairwise comparison test revealed that within the PNE group, there was no significant difference between saline and 0.375 mg/kg MPH. However, there were significant differences between saline and 0.75 mg/kg MPH as well as between 0.375 mg/kg and 0.75 mg/kg MPH. Thus, 0.75 mg/kg MPH but not 0.375 mg/kg MPH produced significant decreases in locomotor activity in the PNE group whereas neither dose of MPH produced significant changes in locomotor activity in the SAC group.
Since oral but not intraperitoneal administration of 0.75 mg/kg MPH decreased the locomotor activity in the PNE group of mice to baseline levels, and since most common therapeutic administration of MPH for the treatment of ADHD is oral, we examined in further detail the effects of oral MPH on locomotor activity over a 12-hr lights-off period. The data from male and female mice in the PNE and SAC groups were analyzed separately (Fig. 4).
The mice were placed in the test apparatus at 13:00 hr and locomotor activity was recorded starting 2 hr later, at 15:00, to give sufficient time for the mice to acclimatize. A single dose of MPH was administered at 19:00 hr, a time point when the lights are turned off and locomotor activity in both the groups of mice tends to increase (Fig. 2A, B). The locomotor activity was monitored continuously during the entire lights off period from 19:00 to 07:00 hr (Fig. 4) and analyzed at hourly intervals (Fig. 4A, B).
The cumulative locomotor activity over the entire 12:00 hr period (Fig. 4) was significantly influenced by the prenatal treatment and MPH administration in both the males and females (ANOVA Males: F(3, 34)=7.02, p<0.001; Females: F(3, 46)=6.28, P<0.001). Multiple comparison tests showed significant increases in baseline locomotor activity (i.e. even with saline administration) in the PNE group compared to SAC group in males and females, as expected. The MPH administration decreased the locomotor activity in the PNE group such that there was no significant difference between PNE-MPH and SAC-saline groups of males or females. Interestingly, MPH did not produce significant effects on locomotor activity in the SAC group in either the males or the females (p>0.05).
The decrease in locomotor activity produced by the MPH administration was evident between 20:00 and 03:00 hrs (i.e. ~ 8hr after MPH administration) in the males and between 19:00 and 07:00 hrs (i.e. ~ 12 hr after MPH administration) in the females (Fig. 4A,B). By ~ 07:00 hr, the activity levels of MPH administered PNE group of mice began approaching the levels of saline treated PNE group in both males and females, indicating a waning of the effects of the single dose of MPH.
Dopamine and serotonin turnover
We measured the concentrations of dopamine, serotonin, DOPAC and 5-HIAA in the frontal cortex and striatum of P42 mice from the PNE and SAC groups. Only male mice were used in these analyses. The baseline dopamine concentration in the frontal cortex was significantly higher in the PNE group compared to the SAC group (Table 1A; t=2.94, df=29, p<0.01). The concentration of DOPAC was not significantly different between the two groups (Table 1A; t=0.48, df=29, p>0.05). The dopamine turnover rate (DOPAC÷DA) was significantly reduced (by ~100%) in the PNE group compared to the SAC group (Table 1A, t=2.75, df=30, p<0.05). There were no statistically significant differences between the PNE and SAC groups with regard to serotonin or 5HIAA concentrations, or serotonin turnover (Table 1A).
Table 1.
DA | DOPAC | DOPAC / DA | 5-HT | 5-HIAA | 5-HIAA / 5-HT | |||
---|---|---|---|---|---|---|---|---|
A | ||||||||
Frontal cortex | SAC | 57.9 ± 19.01 | 127.58 ± 36.13 | 2.29 ± 0.38 | 361.35 ± 61.57 | 168.54 ± 46.14 | 0.35 ± 0.07 | |
PNE | 187.7 ± 38.8 ** | 148.96 ± 25.85 | 1.09 ± 0.3 * | 387.83 ± 46.69 | 289.66 ± 77.52 | 0.62 ± 0.14 | ||
Striatum | SAC | 2559.31 ± 611.92 | 254.56 ± 69.34 | 0.11 ± 0.02 | 313.86 ± 62.19 | 188.63 ± 63.86 | 0.48 ± 0.13 | |
PNE | 3388.86 ± 618.03 | 258.34 ± 57.68 | 0.06 ± 0.01 * | 386.78 ± 44.16 | 236.37 ± 45.75 | 0.57 ± 0.1 | ||
B | ||||||||
PNE | SAL | 197.31 ± 40.24 | 144.05 ± 27.13 | 0.83 ± 0.15 | 391.55 ± 50.98 | 295.05 ± 84.71 | 0.62 ± 0.15 | |
PNE | MPH | 160.91 ± 62.76 | 230.04 ± 83.25 | 1.75 ± 0.29 ** | 296.31 ± 60.19 | 181.92 ± 74.78 | 0.45 ± 0.12 |
p<0.01,
p<0.05.
The dopamine turnover was significantly reduced (by ~50%) in the striatum of PNE mice compared to the SAC mice (Table 1A; t=3.0, df=28, p<0.05). However, neither the basal dopamine nor the DOPAC concentration was significantly different between the PNE and SAC groups of mice (Table 1A). Striatal concentrations of serotonin and 5HIAA or serotonin turnover were also not significantly different between the PNE and SAC mice (Table 1A).
Next we examined the effects of saline versus MPH administration on dopamine, serotonin, DOPAC and 5HIAA concentrations as well as dopamine and serotonin turnover in the frontal cortex of P42 male PNE mice (Table 1B). Saline or MPH (0.75mg/kg) was administered via oral gavage and 30 min later the mice were sacrificed for tissue collection. MPH did not significantly alter the concentration of dopamine or DOPAC in the PNE mice (Table 1B; t=0.5, df=20 for dopamine and t=0.29, df=25 for DOPAC; in each case p>0.05). Nevertheless, the dopamine turnover rate was significantly increased by the MPH administration in the PNE mice (Table 1B; t=2.9, df=26, p<0.01). The MPH administration did not produce statistically significant differences in serotonin or 5HIAA concentrations or serotonin turnover (Table 1B).
Regional brain volume
We compared the volumes of different brain regions between PNE and SAC groups of male mice at P42 (Table 2). We found a significant reduction in the volume of the cingulate cortex in the PNE group of mice. Volume of no other brain region showed significant differences between the PNE and SAC groups. When the regional brain volumes were normalized against cerebral hemispheric volume (regional volume ÷ hemispheric volume), the cingulate cortex showed significant reduction in the PNE group compared to the SAC group. (~20%, t=2.1, df=20, p<0.05; Table 2). On the other hand, the normalized volume of the sensory-motor cortex was significantly increased (~6%, t=2.7, df=20, p<0.05; Table 3) in the PNE group compared to the SAC group.
Dimensions of the cingulate cortex
The length (radial thickness) of the cingulate cortex was significantly reduced in the PNE group compared to that in the SAC group (Fig. 5; Mean±SEM values (µm): SAC = 919±19, PNE=849±20.0; n=6, t=2.59; df=10, p<0.05), whereas the width was not significantly different between the two groups (Mean±SEM values: SAC = 1539±25, PNE=1504±21; n=6, t=1.05; df=10, p>0.05).
Discussion
We showed that PNE increases locomotor activity in male and female mice. PNE also increased the tissue content of dopamine and decreased the DOPAC-to-dopamine ratio (a measure of dopamine turnover) in the frontal cortex. PNE produced selective and significant decreases in cingulate cortex volume. A single oral administration of 0.75/mg MPH to mice in the PNE group significantly decreased locomotor activity, to a level comparable to that in the SAC group. The MPH administration significantly increased tissue DOPAC-to-dopamine ratio, without altering the dopamine content, in the frontal cortex of the PNE group.
We used an oral nicotine exposure method because it does not involve the stresses associated with intraperitoneal injections or implantation of osmotic pumps (Rowell et al., 1983; Sparks and Pauly, 1999; Vaglenova et al., 2004; Paz et al., 2006). Moreover, nicotine delivery via drinking water produces changes in locomotor activity and nicotinic acetylcholine receptor activity that are comparable to those produced by nicotine exposure via non-oral routes (Sparks and Pauly, 1999). Since prenatal stress can alter behavior and CNS structure (Muhammad and Kolb, 2011b), the stress caused by intraperitoneal injections or implantation of osmotic pumps could introduce additional variability in the data. We began nicotine exposure of the dams 3 weeks prior to mating to ensure elevated serum nicotine levels at conception and tolerance of the nicotine treatment by the dams (Pauly et al., 2004).
The oral nicotine paradigm is sometimes criticized for not mimicking the peaks and valleys of plasma nicotine levels associated with cigarette smoking (Benowitz et al., 1982). Whereas it may be a valid criticism when modeling cigarette smoking in adults, whether the peaks and valleys also occur in the fetal blood and brain during maternal cigarette smoking remains unclear because of unusual nicotine pharmacokinetics in the fetus [review in (Wickstrom, 2007)]. Furthermore, our PNE paradigm corresponds well to smokeless tobacco use by pregnant women, which is associated with sustained plasma nicotine concentrations (Benowitz et al., 1982; Hukkanen et al., 2005).
Our use of 2 control groups (SAC and WATER) permitted evaluation of the effects of cross-fostering stress (Muhammad and Kolb, 2011a). Although we cross-fostered the PNE and SAC offspring, we did not cross-foster the WATER offspring. Yet there was no significant difference in body weight gain or locomotor activity (Fig. 2) between the WATER and SAC groups. Therefore, neither the saccharin treatment nor the cross-fostering stress contributed to the behavioral or body weight changes seen in the PNE group. The mice in the PNE group weighed significantly less than their counterparts in the SAC and WATER groups on P3, and perhaps due to the cross-fostering paradigm, the body weights were not significantly different later in the postnatal period. Thus, volumetric changes in the brains of the PNE group (Table 2) were not confounded by body weight differences.
We were able to accomplish the principal objectives of our study, namely characterization of the effects of PNE on spontaneous locomotor activity, the ability of MPH to reduce it to baseline levels, and evaluation of the role of gender and circadian changes in PNE-inducedlocomotor activity. We found that PNE significantly elevated locomotor activity in both males and females. The peak activity occurred during the lights-off period of the circadian cycle, when the mice are naturally more “active”. ADHD also affects both males and females and the symptoms are evident during the “active” phase, which in humans is during the day.
A single MPH dose (0.75 mg/kg) administered orally reduced the locomotor activity to baseline levels in both males and females in the PNE group (Figs. 3B, 4). Also consistent with the effects of MPH in humans, the effect was transient: lasting for approximately 10 hr, after which the locomotor activity in the MPH-treated PNE mice began to increase. Interestingly, intraperitoneal administration of MPH produced remarkably different effects compared to the oral administration. First, 0.75 mg/kg intraperitoneal MPH did not produce significant effects on locomotor activity in the PNE group, whereas the same dose administered orally did. Second, intraperitoneal administration of 3.75 or 7.5 mg/kg MPH increased locomotor activity in SAC group of mice but did not affect the activity in the PNE group (Fig. 3). These data confirm that the route of MPH administration is an important factor in determining its behavioral effects (Patrick and Markowitz, 1997; Gerasimov et al., 2000; Kuczenski and Segal, 2002, 2005).
The 0.75 mg/kg MPH treatment, oral or intraperitoneal, did not affect locomotor activity in the SAC control group, suggesting that this dose of MPH had no effect on locomotor activity in “normal” mice. A number of earlier studies found that MPH increased locomotor activity in normal rodents. However, those studies used higher than 0.75 mg/kg MPH dose and administered it parenterally (Andersen et al., 2002; Bolanos et al., 2003; Brandon and Steiner, 2003; Carlezon et al., 2003; Russell et al., 2005; Sagvolden et al., 2005; Augustyniak et al., 2006). In the present study also > 3.75 mg/kg MPH administered intraperitoneally increased locomotor activity in the SAC mice but it had no effect on the PNE mice. Thus, it appears that not only the dose and route of MPH administration but also the type of animal model (i.e. control versus PNE) can determine the effects of MPH on locomotor activity. Therefore, preclinical studies using ecologically valid animal models, clinically relevant dose and route of MPH administration stand the best chance of offering insights relevant to human ADHD.
Taken together, our findings underscore the cross-species similarities between the PNE mouse model and human ADHD, where the symptoms are evident only during the day, when the subjects are awake and active, both sexes are affected, and the effects of MPH are similar and transient, supporting the ecological validity of our preclinical model of ADHD.
A recent study (Schneider et al., 2011) examined the effects of prenatal nicotine exposure on attention and impulsivity in a rat model. The data show that both attention and impulsivity are affected by the prenatal nicotine exposure. Although we did not undertake these behavioral measurements, it is likely that attention and impulsivity are affected by the prenatal nicotine exposure in our mouse model also.
In other experiments, we examined neurochemical correlates of increased locomotor activity and its mitigation by MPH in the PNE group. We focused on frontal cortical dopamine because cortical hypodopaminergic state is considered a hallmark of ADHD and it is a therapeutic target of MPH (Kuczenski and Segal, 2001; Robbins, 2002; Seeman and Madras, 2002; Kuczenski and Segal, 2005; Volkow et al., 2005; Arnsten, 2006). The tissue content of dopamine in the frontal cortex was elevated in the PNE group reflecting increased vesicular dopamine (intracellular stores) and/or extracellular (i.e. synaptically released) dopamine. Our methods cannot distinguish between the two compartments. The frontal cortical DOPAC-to-dopamine ratio was significantly decreased by the PNE. Since only extracellular dopamine is broken down into DOPAC, the decreased DOPAC-to-dopamine ratio could reflect reduced synaptic dopamine, i.e., a hypo-dopaminergic state akin to that in ADHD. MPH administration significantly increased the DOPAC-to-dopamine ratio suggesting increased dopamine turnover, potentially due to increases in synaptic dopamine, which would be metabolized to DOPAC. Thus, PNE could have led to a frontal cortical hypo-dopaminergic state, which could have been offset by the MPH administration. While these data highlight the value of this PNE mouse model for ADHD research, we emphasize that a clearer understanding of the effects of PNE on dopamine release, turnover, and synaptic dopamine content requires further analysis using sophisticated techniques such as in vivo microdialysis.
In the final set of studies, we found that the volume of the cingulate cortex was decreased significantly (by ~20%) in the PNE mice. Analysis of the length and width of the cingulate cortex revealed significant decreases in the length (radial thickness), suggesting, albeit indirectly, a decrease in the thickness of cortical layers. Whether the decrease in radial thickness reflects decreases in cell numbers, dendritic arbors or axonal terminals remains to be examined. The cingulate cortex plays key roles in attention mechanisms (Bush et al., 1999; Bush, 2011) and the reduced cingulate volume in the PNE group of mice compares well to similar findings in ADHD subjects in our earlier study (Makris et al., 2007; Makris et al., 2010). These observations raise the possibility that cingulate cortex volume may be a CNS structural biomarker of ADHD in human subjects and in our mouse model. Whether repeated MPH administration to the PNE group of mice can lead to a restoration of the cingulate cortical volume deficit (coupled with lasting downregulation of the hyperactivity) remains an open question with considerable translational significance for human ADHD. In the present study, we used only a single MPH administration, which produced only a transient reduction in hyperactivity, and did not permit us to address this issue.
In summary, the PNE mouse model described here captures the essential behavioral, neurochemical and structural features of ADHD in humans, and behavioral and neurochemical responses to MPH treatment. This mouse model also offers valuable biomarkers for cellular and molecular studies of ADHD etiology and therapeutics.
Acknowledgements
This work was supported by USPHS grants RO1DA020796, P30NS045776 and R21DA027358. We are grateful to Dr. Michael Schwarzschild for access to equipment and resources in his laboratory at the Massachusetts General Hospital; Thomas C. Burdett and Cody A. Desjardins in Dr. Schwarzschild’s laboratory for assistance with HPLC; Enric Navas Péres for help with histology and stereology and to the staff of the Massachusetts General Hospital’s Center for Comparative Medicine for expert assistance with mouse colony management.
References
- Andersen SL, Arvanitogiannis A, Pliakas AM, LeBlanc C, Carlezon WA., Jr Altered responsiveness to cocaine in rats exposed to methylphenidate during development. Nat Neurosci. 2002;5:13–14. doi: 10.1038/nn777. [DOI] [PubMed] [Google Scholar]
- Arnsten AFT. Stimulants: Therapeutic Actions in ADHD. Neuropsychopharmacology. 2006;31:2376–2383. doi: 10.1038/sj.npp.1301164. [DOI] [PubMed] [Google Scholar]
- Augustyniak PN, Kourrich S, Rezazadeh SM, Stewart J, Arvanitogiannis A. Differential behavioral and neurochemical effects of cocaine after early exposure to methylphenidate in an animal model of attention deficit hyperactivity disorder. Behav Brain Res. 2006;167:379–382. doi: 10.1016/j.bbr.2005.09.014. [DOI] [PubMed] [Google Scholar]
- Balcioglu A, Ren JQ, McCarthy D, Spencer TJ, Biederman J, Bhide PG. Plasma and brain concentrations of oral therapeutic doses of methylphenidate and their impact on brain monoamine content in mice. Neuropharmacology. 2009;57:687–693. doi: 10.1016/j.neuropharm.2009.07.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Benowitz NL, Kuyt F, Jacob P., III Circadian blood nicotine concentrations during cigarette smoking. Clin Pharm Ther. 1982;32:758–764. doi: 10.1038/clpt.1982.233. [DOI] [PubMed] [Google Scholar]
- Bhide PG. Dopamine, cocaine and the development of cerebral cortical cytoarchitecture: A review of current concepts Seminars. Cell Dev Biol. 2009;20:395–402. doi: 10.1016/j.semcdb.2009.01.006. [DOI] [PubMed] [Google Scholar]
- Biederman J, Petty CR, Bhide PG, Woodworth KY, Faraone S. Does exposure to maternal smoking during pregnancy affect the clinical features of ADHD? Results from a controlled study. World J Biol Psychiatry. 2012;13:60–64. doi: 10.3109/15622975.2011.562243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bolanos CA, Barrot M, Berton O, Wallace-Black D, Nestler EJ. Methylphenidate treatment during pre- and periadolescence alters behavioral responses to emotional stimuli at adulthood. Biol Psychiatry. 2003;54:1317–1329. doi: 10.1016/s0006-3223(03)00570-5. [DOI] [PubMed] [Google Scholar]
- Brandon CL, Steiner H. Repeated methylphenidate treatment in adolescent rats alters gene regulation in the striatum. The European journal of neuroscience. 2003;18:1584–1592. doi: 10.1046/j.1460-9568.2003.02892.x. [DOI] [PubMed] [Google Scholar]
- Bush G. Cingulate, frontal, and parietal cortical dysfunction in attention-deficit/hyperactivity disorder. Biological Psychiatry. 2011;69:1160–1167. doi: 10.1016/j.biopsych.2011.01.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bush G, Frazier JA, Rauch SL, Seidman LJ, Whalen PJ, Jenike MA, Rosen BR, Biederman J. Anterior cingulate cortex dysfunction in attention-deficit/hyperactivity disorder revealed by fMRI and the Counting Stroop. Biological Psychiatry. 1999;45:1542–1552. doi: 10.1016/s0006-3223(99)00083-9. [DOI] [PubMed] [Google Scholar]
- Carlezon WA, Jr, Mague SD, Andersen SL. Enduring behavioral effects of early exposure to methylphenidate in rats. Biol Psychiatry. 2003;54:1330–1337. doi: 10.1016/j.biopsych.2003.08.020. [DOI] [PubMed] [Google Scholar]
- Chesselet M-F. Presynaptic regulation of neurotransmitter release in the brain: Facts and hypothesis. Neuroscience. 1984;12:347–375. doi: 10.1016/0306-4522(84)90058-7. [DOI] [PubMed] [Google Scholar]
- Cornelius MD, Day NL. Developmental consequences of prenatal tobacco exposure. Current opinion in neurology. 2009;22:121–125. doi: 10.1097/WCO.0b013e328326f6dc. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Crandall JE, McCarthy DM, Araki KY, Sims JR, Ren JQ, Bhide PG. Dopamine receptor activation modulates GABA neuron migration from the basal forebrain to the cerebral cortex. J Neurosci. 2007;27:3813–3822. doi: 10.1523/JNEUROSCI.5124-06.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ernst M, Moolchan ET, Robinson ML. Behavioral and neural consequences of prenatal exposure to nicotine. Journal of the American Academy of Child and Adolescent Psychiatry. 2001;40:630–641. doi: 10.1097/00004583-200106000-00007. [DOI] [PubMed] [Google Scholar]
- Fried PA, Watkinson B. Differential effects on facets of attention in adolescents prenatally exposed to cigarettes and marihuana. Neurotoxicol Teratol. 2001;23:421–430. doi: 10.1016/s0892-0362(01)00160-x. [DOI] [PubMed] [Google Scholar]
- Gerasimov MR, Franceschi M, Volkow ND, Gifford A, Gatley SJ, Marsteller D, Molina PE, Dewey SL. Comparison between Intraperitoneal and Oral Methylphenidate Administration: A Microdialysis and Locomotor Activity Study. J Pharmacol Exp Ther. 2000;295:51–57. [PubMed] [Google Scholar]
- Hukkanen J, Jacob P, Benowitz NL. Metabolism and Disposition Kinetics of Nicotine. Pharmacological Reviews. 2005;57:79–115. doi: 10.1124/pr.57.1.3. [DOI] [PubMed] [Google Scholar]
- Kuczenski R, Segal DS. Locomotor effects of acute and repeated threshold doses of amphetamine and methylphenidate: relative roles of dopamine and norepinephrine. J Pharmacol Exp Ther. 2001;296:876–883. [PubMed] [Google Scholar]
- Kuczenski R, Segal DS. Exposure of adolescent rats to oral methylphenidate: preferential effects on extracellular norepinephrine and absence of sensitization and cross-sensitization to methamphetamine. J Neurosci. 2002;22:7264–7271. doi: 10.1523/JNEUROSCI.22-16-07264.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kuczenski R, Segal DS. Stimulant actions in rodents: implications for attention-deficit/hyperactivity disorder treatment and potential substance abuse. Biol Psychiatry. 2005;57:1391–1396. doi: 10.1016/j.biopsych.2004.12.036. [DOI] [PubMed] [Google Scholar]
- Makris N, Biederman J, Valera EM, Bush G, Kaiser J, Kennedy DN, Caviness VS, Faraone SV, Seidman LJ. Cortical thinning of the attention and executive function networks in adults with attention-deficit/hyperactivity disorder. Cereb Cortex. 2007;17:1364–1375. doi: 10.1093/cercor/bhl047. [DOI] [PubMed] [Google Scholar]
- Makris N, Seidman LJ, Valera EM, Biederman J, Monuteaux MC, Kennedy DN, Caviness VS, Jr, Bush G, Crum K, Brown AB, Faraone SV. Anterior cingulate volumetric alterations in treatment-naive adults with ADHD: a pilot study. Journal of attention disorders. 2010;13:407–413. doi: 10.1177/1087054709351671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McCarthy D, Lueras P, Bhide PG. Elevated dopamine levels during gestation produce region-specific decreases in neurogenesis and subtle deficits in neuronal numbers. Brain Res. 2007;1182:11–25. doi: 10.1016/j.brainres.2007.08.088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McCarthy DM, Zhang X, Darnell SB, Sangrey GR, Yanagawa Y, Sadri-Vakili G, Bhide PG. Cocaine alters BDNF expression and neuronal migration in the embryonic mouse forebrain. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2011;31:13400–13411. doi: 10.1523/JNEUROSCI.2944-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Milberger S, Biederman J, Faraone SV, Jones J. Further evidence of an association between maternal smoking during pregnancy and attention deficit hyperactivity disorder: findings from a high-risk sample of siblings. J Clin Child Psychol. 1998;27:352–358. doi: 10.1207/s15374424jccp2703_11. [DOI] [PubMed] [Google Scholar]
- Milberger S, Biederman J, Faraone SV, Chen L, Jones J. Is maternal smoking during pregnancy a risk factor for attention deficit hyperactivity disorder in children? Am J Psychiatry. 1996;153:1138–1142. doi: 10.1176/ajp.153.9.1138. [DOI] [PubMed] [Google Scholar]
- Muhammad A, Kolb B. Maternal separation altered behavior and neuronal spine density without influencing amphetamine sensitization. BehavBrain Res. 2011a;223:7–16. doi: 10.1016/j.bbr.2011.04.015. [DOI] [PubMed] [Google Scholar]
- Muhammad A, Kolb B. Mild prenatal stress-modulated behavior and neuronal spine density without affecting amphetamine sensitization. Developmental neuroscience. 2011b;33:85–98. doi: 10.1159/000324744. [DOI] [PubMed] [Google Scholar]
- Navarro HA. Prenatal exposure to nicotine impairs nervous system development at a dose which does not affect viability or growth. Brain Res Bull. 1989;23:187–192. doi: 10.1016/0361-9230(89)90146-9. [DOI] [PubMed] [Google Scholar]
- Obel C, Olsen J, Henriksen TB, Rodriguez A, Jarvelin MR, Moilanen I, Parner E, Linnet KM, Taanila A, Ebeling H, Heiervang E, Gissler M. Is maternal smoking during pregnancy a risk factor for hyperkinetic disorder?--Findings from a sibling design. International journal of epidemiology. 2011;40:338–345. doi: 10.1093/ije/dyq185. [DOI] [PubMed] [Google Scholar]
- Patrick KS, Markowitz JS. Pharmacology of methylphenidate, amphetamine enantiomers and pemoline in attention-deficit hyperactivity disorder. Human Psychopharmacol. 1997;12:527–546. [Google Scholar]
- Pauly JR, Sparks JA, Hauser KF, Pauly TH. In utero nicotine exposure causes persistent, gender-dependant changes in locomotor activity and sensitivity to nicotine in C57Bl/6 mice. Int J Dev Neurosci. 2004;22:329–337. doi: 10.1016/j.ijdevneu.2004.05.009. [DOI] [PubMed] [Google Scholar]
- Paxinos G, Franklin KBJ. The mouse brain in stereotaxic coordinates. 2nd Edition. San Diego, CA, USA: Academic Press; 2001. [Google Scholar]
- Paz R, Barsness B, Martenson T, Tanner D, Allan AM. Behavioral Teratogenicity Induced by Nonforced Maternal Nicotine Consumption. Neuropsychopharmacology. 2006 doi: 10.1038/sj.npp.1301066. [DOI] [PubMed] [Google Scholar]
- Ren JQ, Jiang Y, Wang Z, McCarthy D, Rajadhyaksha AM, Tropea TF, Kosofsky BE, Bhide PG. Prenatal l-DOPA exposure produces lasting changes in brain dopamine content, cocaine-induced dopamine release and cocaine conditioned place preference. Neuropharmacology. 2011;60:295–302. doi: 10.1016/j.neuropharm.2010.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Richardson SA, Tizabi Y. Hyperactivity in the offspring of nicotine-treated rats: Role of the mesolimbic and nigrostriatal dopaminergic pathways. Pharmacology Biochemistry and Behavior. 1994;47:331–337. doi: 10.1016/0091-3057(94)90018-3. [DOI] [PubMed] [Google Scholar]
- Robbins TW. ADHD and addiction. Nat Med. 2002;8:24–25. doi: 10.1038/nm0102-24. [DOI] [PubMed] [Google Scholar]
- Rowell PP, Hurst HE, Marlowe C, Bennett BD. Oral administration of nicotine: its uptake and distribution after chronic administration to mice. J Pharmacol Methods. 1983;9:249–261. doi: 10.1016/0160-5402(83)90064-5. [DOI] [PubMed] [Google Scholar]
- Russell VA, Sagvolden T, Johansen EB. Animal models of attention-deficit hyperactivity disorder. Behav Brain Funct. 2005;1:9. doi: 10.1186/1744-9081-1-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sagvolden T, Russell VA, Aase H, Johansen EB, Farshbaf M. Rodent models of attention-deficit/hyperactivity disorder. Biol Psychiatry. 2005;57:1239–1247. doi: 10.1016/j.biopsych.2005.02.002. [DOI] [PubMed] [Google Scholar]
- Schneider T, Ilott N, Brolese G, Bizarro L, Asherson PJE, Stolerman IP. Prenatal Exposure to Nicotine Impairs Performance of the 5-Choice Serial Reaction Time Task in Adult Rats. Neuropsychopharmacology. 2011;36:1114–1125. doi: 10.1038/npp.2010.249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Seeman P, Madras B. Methylphenidate elevates resting dopamine which lowers the impulse-triggered release of dopamine: a hypothesis. Behav Brain Res. 2002;130:79–83. doi: 10.1016/s0166-4328(01)00435-1. [DOI] [PubMed] [Google Scholar]
- Slotkin TA. Cholinergic systems in brain development and disruption by neurotoxicants: nicotine, environmental tobacco smoke, organophosphates. Toxicol Appl Pharmacol. 2004;198:132–151. doi: 10.1016/j.taap.2003.06.001. [DOI] [PubMed] [Google Scholar]
- Slotkin TA, Cho H, Whitmore WL. Effects of prenatal nicotine exposure on neuronal development: selective actions on central and peripheral catecholaminergic pathways. Brain Res Bull. 1987;18:601–611. doi: 10.1016/0361-9230(87)90130-4. [DOI] [PubMed] [Google Scholar]
- Sparks JA, Pauly JR. Effects of continuous oral nicotine administration on brain nicotinic receptors and responsiveness to nicotine in C57Bl/6 mice. Psychopharmacology (Berl) 1999;141:145–153. doi: 10.1007/s002130050818. [DOI] [PubMed] [Google Scholar]
- Thapar A, Rice F, Hay D, Boivin J, Langley K, van den Bree M, Rutter M, Harold G. Prenatal smoking might not cause attention-deficit/hyperactivity disorder: evidence from a novel design. Biological Psychiatry. 2009;66:722–727. doi: 10.1016/j.biopsych.2009.05.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vaglenova J, Birru S, Pandiella NM, Breese CR. An assessment of the long-term developmental and behavioral teratogenicity of prenatal nicotine exposure. Behav Brain Res. 2004;150:159–170. doi: 10.1016/j.bbr.2003.07.005. [DOI] [PubMed] [Google Scholar]
- Volkow ND, Wang GJ, Fowler JS, Ding YS. Imaging the effects of methylphenidate on brain dopamine: new model on its therapeutic actions for attention-deficit/hyperactivity disorder. Biol Psychiatry. 2005;57:1410–1415. doi: 10.1016/j.biopsych.2004.11.006. [DOI] [PubMed] [Google Scholar]
- Wickstrom R. Effects of nicotine during pregnancy: human and experimental evidence. Current neuropharmacology. 2007;5:213–222. doi: 10.2174/157015907781695955. [DOI] [PMC free article] [PubMed] [Google Scholar]