INTRODUCTION

Most smokers begin tobacco use during adolescence (National Institute on Drug Abuse, 1998; Nelson et al, 1995; Pierce and Gilpin, 1996) and recent evidence points to biological differences in the reactivity of the adolescent brain to nicotine that contribute to greater addiction potential (Cheeta et al, 2001; Faraday et al, 2001; Kelley and Middaugh, 1999; Klein, 2001; Slawecki and Ehlers, 2002; Slotkin, 2002; Xu et al, 2001, 2002). Nevertheless, about one-fourth of teenagers who begin smoking will not become daily smokers (Centers for Disease Control and Prevention, 1998; National Institute on Drug Abuse, 1998; Nelson et al, 1995) and, although some adolescents show a very rapid onset of dependence, other individuals require more prolonged exposure and higher consumption (DiFranza et al, 2000, 2002a, 2002b). Clearly, one contributory factor to susceptibility is parental smoking (Bauman et al, 1990; Chassin et al, 2002; Niaura et al, 2001) and specifically maternal smoking during pregnancy (Cornelius et al, 2000; Kandel et al, 1994; Niaura et al, 2001). In animal models, prenatal nicotine exposure by itself evokes neuroteratogenic changes that result in cognitive and behavioral deficits (Levin and Slotkin, 1998; Roy et al, 1998, 2002; Roy and Sabherwal, 1994, 1998; Slotkin, 1992, 1998, 1999) and the vulnerability of specific brain regions and neural pathways to nicotine-induced damage also extends into adolescence (Abreu-Villaça et al, 2003a, 2003b, 2004; Slotkin, 2002; Slotkin et al, 2002; Trauth et al, 2000a, 2000b, 2000c, 2001; Xu et al, 2001, 2002, 2003). Accordingly, one possibility is that prenatal nicotine exposure might predispose the brain to neural damage elicited by nicotine later in life, during adolescence, thus eliciting lasting neurobehavioral changes. The current study addresses this question.

We used established rat models of nicotine administration that maintain steady-state plasma levels at those found in typical smokers (Levin and Slotkin, 1998; Slotkin, 1992, 1998, 1999, 2002), administering the drug throughout gestation and then for a 2.5-week period in adolescence, with evaluations during adolescent exposure and for up to 1 month after the initiation of withdrawal. To characterize neural damage, we conducted measurements of DNA and cell protein fractions. As each neural cell contains only a single nucleus (Winick and Noble, 1965), the DNA content (amount of DNA in each brain region) reflects the total number of cells, and the DNA concentration (DNA per unit tissue weight) reflects the cell packing density (Bell et al, 1987; Slotkin et al, 1984; Winick and Noble, 1965). We also assessed protein subfractions related to cell size and membrane surface area: the ratio of total protein/DNA rises with the enlargement of the cell (Bell et al, 1987; Slotkin et al, 1984) and the relative membrane surface area (ie ratio of membrane protein to total cell protein) increases with the development of neuritic projections or with replacement of large cells (eg neurons) with smaller ones (eg glia).

MATERIALS AND METHODS

Animals and Nicotine Infusions

All studies were carried out with the approval of the Duke University Institutional Animal Care and Use Committee, in accordance with the declaration of Helsinki and with the Guide for the Care and Use of Laboratory Animals as adopted and promulgated by the National Institutes of Health. Timed-pregnant Sprague–Dawley rats were shipped on gestational day (GD) 2 by climate-controlled truck (total transit time <1 h), housed individually, and allowed free access to food and water. There were four treatment groups: controls (prenatal vehicle+adolescent vehicle), prenatal nicotine exposure (prenatal nicotine+adolescent vehicle), adolescent nicotine exposure (prenatal vehicle+adolescent nicotine), and those receiving the combined treatment (nicotine both during prenatal development and adolescence). On GD4, before implantation of the embryo in the uterine wall, each animal was quickly anesthetized with ether, a 3 × 3 cm2 area on the back was shaved, and an incision made to permit s.c. insertion of type 2ML2 Alzet osmotic minipumps. Pumps were prepared with nicotine bitartrate dissolved in bacteriostatic water, to deliver an initial dose rate of 6 mg/kg of nicotine (calculated as free base) per day. The incision was closed with wound clips and the animals were permitted to recover in their home cages. Control animals were implanted with minipumps containing only the water and an equivalent concentration of sodium bitartrate, adjusted to the same pH (6.0) as the nicotine bitartrate solution. It should be noted that the pump, marketed as a 2-week infusion device, actually takes 17.5 days to be exhausted completely (information supplied by the manufacturer) and thus the nicotine infusion terminates during GD21. Maternal plasma nicotine levels achieved with this administration model resemble those seen in heavy smokers (25–60 ng/ml) as characterized previously (Isaac and Rand, 1972; Levin and Slotkin, 1998; Lichtensteiger et al, 1988; Murrin et al, 1985; Slotkin, 1992, 1998, 1999, 2004). This animal model also resembles the effects of maternal smoking in that fetal nicotine levels exceed those found in maternal plasma (Luck et al, 1985; Sarasin et al, 2003).

Parturition occurred during GD22, which was also taken as postnatal day (PN)0. After birth, pups were randomized within treatment groups and litter sizes were culled to 10 (five males and five females) to ensure standard nutrition. Randomization was repeated every few days to distribute differential effects of maternal caretaking equally among all litters; cross-fostering, by itself, has no impact on neurochemical or behavioral effects of nicotine exposure (Ribary and Lichtensteiger, 1989). Animals were weaned on PN21.

On PN30, each animal was implanted with a minipump (Alzet type 1002) as already described, again set to deliver either vehicle or nicotine at an initial dose rate of 6 mg/kg per day, with the infusion terminating during PN47 (Slotkin, 1998; Trauth et al, 1999, 2000b). The nicotine exposure period thus spans the recognized boundaries of adolescence in the rat, as typified by endocrine, pubertal, and behavioral parameters (Spear, 2000). In the adolescent rat this paradigm produces plasma nicotine levels of 25 ng/ml, similar to that in typical smokers (Lichtensteiger et al, 1988; Trauth et al, 2000b); it produces a transient (10%) reduction in body weight during treatment, an effect that disappears after termination of the infusion (Abreu-Villaça et al, 2003a; Trauth et al, 1999). Studies were conducted at four time points, one during adolescent nicotine administration (PN45) and three during the withdrawal period (PN50, PN60, and PN75). Animals were decapitated and the cerebral cortex, midbrain, and hippocampus were dissected (Trauth et al, 2000b), frozen in liquid nitrogen, and stored at −45°C until assayed. For each treatment group, 12 animals were examined at each age point, equally divided into males and females.

Tissue Preparation and Assays

Tissues were thawed and homogenized (Polytron, Brinkmann Instruments, Westbury, NY) in approximately 40 volumes of ice-cold 50 mM Tris HCl (pH 7.4), and aliquots were withdrawn for measurements of total protein (Smith et al, 1985). To prepare the cell membrane fraction, the homogenates were sedimented at 40 000 × g for 10 min and the supernatant solution was discarded. The membrane pellet was resuspended (Polytron) in the original volume of buffer, resedimented, and the resultant pellet was resuspended in approximately 10 volumes (based on the original weight of the tissue) of the same buffer using a smooth glass homogenizer fitted with a Teflon pestle. Aliquots of this resuspension were then assayed for membrane protein.

The assay for DNA has been described in detail in a previous publication (Trauth et al, 2000b). Briefly, DNA was determined in aliquots of the original tissue homogenate using a modified (Trauth et al, 2000b) fluorescent dye-binding method (Labarca and Piagen, 1980). Tissues were diluted in 100 mM NaCl, 1 mM EDTA, and 10 mM Tris HCl (pH 7.4) and sonicated for 30 s (Virsonic Cell Disrupter, Virtis, Gardiner, NY). Hoechst 33258 was added to a final concentration of 0.1 μg/ml. Samples were then read in a spectrofluorometer using an excitation wavelength of 356 nm and an emission wavelength of 458 nm, and were quantitated using standards of purified DNA.

Data Analysis

To avoid type I statistical errors that might result from repeated testing of the global data set, we first performed a global analysis of variance (ANOVA) (with log-transformed data because of heterogeneous variance) incorporating all the variables and measures: prenatal treatment, adolescent treatment, brain region, age, sex, and the four biochemical measures (DNA concentration, DNA content, ratio of total protein/DNA, and ratio of membrane protein/total protein). The four determinations were treated as repeated measures, since each was obtained from the same tissue homogenate. This initial test indicated treatment effects that differed among the different biochemical measures, so data were then examined separately for each measure, again using a multivariate ANOVA (prenatal treatment, adolescent treatment, region, age, and sex). Where appropriate, this was followed by post hoc evaluations of each treatment group compared with the controls, using Fisher's protected least significant difference (FPLSD); however, where treatment effects did not interact with other variables only the main effect was recorded without testing of individual differences. Effects of nicotine on body weights were conducted similarly with a multivariate ANOVA (prenatal treatment, adolescent treatment, age, and sex) using log-transformed values; brain region weights were evaluated with the additional factor of region. Significance was assumed at the level of p<0.05 for main effects; however, for interactions at p<0.1, we also examined whether lower-order main effects were detectable after subdivision of the interactive variables (Snedecor and Cochran, 1967). All statistical tests were two-tailed.

The study design required two different ways of regarding treatment variables. To compare the effects of prenatal exposure alone, adolescent exposure, or the combined exposure to controls or to each other, the four treatment groups were considered as a one-dimensional factor in the statistical design. To determine whether the effects of prenatal exposure and adolescent exposure were interactive, the treatment factors were changed to a two-dimensional design. In this formulation, more-than-additive (synergistic) and less-than-additive effects appear as significant interactions between the two treatment dimensions, whereas simple, additive effects do not show significant interactions.

Data are presented as means and standard errors. To facilitate comparisons across multiple tissues, ages, and variables, the effects of each treatment are given as the percentage change from the corresponding control group, but statistical comparisons were made on the original data. For reference, control values appear in Table 1.

Table 1 Control Values

Materials

Animals were purchased from Charles River Laboratories (Raleigh, NC) and osmotic minipumps from Durect Corp. (Cupertino, CA). Bacteriostatic water was obtained from Abbott Laboratories (N Chicago, IL). Sigma Chemical Co. (St Louis, MO) was the source for all other reagents.

RESULTS

Across all four age points, prenatal nicotine exposure did not elicit any significant reductions in body weight, but as in previous studies (Trauth et al, 1999, 2000b), adolescent nicotine reduced weights slightly during the treatment period (<10%, F1,92=7.7, p<0.007), with a rapid return to normal upon discontinuing nicotine (data not shown). Prenatal nicotine exposure did not alter the subsequent ability of adolescent nicotine treatment to elicit the small decrement in body weight (no interaction of prenatal nicotine × adolescent nicotine in ANOVA with the two-factor treatment design). For brain region weights (Figure 1), ANOVA across all three regions indicated a main treatment effect (F3,477=3.6, p<0.02) reflecting a significant net increase in the group that received the combined treatment (p<0.009, FPLSD). The effect of nicotine was interactive with region (F6,477=2.1, p<0.05) and age (F9,477=1.8, p<0.07), but after separation by brain region, the interactions with age were not maintained; there were no treatment × sex interactions, so results for both sexes were combined for presentation. Examining the three separate regions, there were no effects in the midbrain (Figure 1a) and cerebral cortex (Figure 2b), but in the hippocampus (Figure 2c), we found an overall increase in region weight (main treatment effect, F3,159=5.2, p<0.002) which reached significance in the group that received the combined treatment (p<0.002, FPLSD). The effect of combined exposure on hippocampus weights was statistically distinguishable from the smaller effect of adolescent treatment (p<0.002, FPLSD), but was not distinguishable from the effect of prenatal nicotine, which was nearly of the same magnitude but somewhat more variable. Two-factor treatment analysis showed a main effect of prenatal nicotine exposure (F1,477=9.6, p<0.003) without any interaction of prenatal × adolescent nicotine, indicative of the statistically equivalent effects of the prenatal exposure regardless of whether animals received vehicle or nicotine in adolescence.

Figure 1
figure 1

Effects of adolescent nicotine administration on brain region weights, presented as the percent change from control values (see Table 1). Nicotine was administered during gestation (GD4–21), adolescence (PN30–47), or during both developmental periods. ANOVA across all treatments and ages appears at the top of the panels and intergroup comparisons are shown within the panels. Values were combined for males and females because of the absence of treatment × sex interactions and tests for individual ages were not carried out because of the lack of treatment × age interactions.

Figure 2
figure 2

Effects of adolescent nicotine administration on DNA concentration, presented as the percent change from control values (see Table 1). Nicotine was administered during gestation (GD4–21), adolescence (PN30-47), or during both developmental periods. ANOVA across all treatments and ages appears at the top of the panels and intergroup comparisons are shown within the panels. Tests of individual ages (asterisks) were carried out only where the ANOVA indicated an interaction of treatment × age.

Multivariate ANOVA, combining all contributing variables and all four neurochemical measures, and considering the four treatments in a one-dimensional design, indicated interactions of treatment × age (F9,1323=2.0, p<0.04) and treatment × measure (F9,1323=3.4, p<0.0005), as well as three-factor interactions of treatment × measure × age (F27,1323=1.5, p<0.05), and treatment × measure × region (F18,1323=3.0, p<0.0001). With the prenatal and adolescent treatments considered as separate factors in a two-dimensional design, we again found interactions indicative of selective effects on each type of measurement: prenatal treatment × measure (F3,1323=3.0, p<0.04), prenatal treatment × age × measure (F9,1323=1.8, p<0.07), prenatal treatment × region × measure (F6,1323=6.8, p<0.0001), prenatal treatment × age × region × measure (F18,1323=1.7, p<0.04), adolescent treatment × measure (F3,1323=3.2, p<0.03). In addition, the prenatal treatment interacted with sex (prenatal treatment × age × sex × measure, F9,1323=2.2, p<0.03), necessitating examination of sex interactions in lower-order analyses. Furthermore, the two treatments interacted with each other, indicating that prenatal nicotine exposure altered the effects of nicotine administered in adolescence and, since these effects were also interactive with age and measure, lower order analyses of treatment effects were required: p<0.06 (F1,1323=3.8) for prenatal treatment × adolescent treatment, p<0.02 (F3,1323=3.7) for prenatal treatment × adolescent treatment × age, p<0.02 (F3,1323=3.7) for prenatal treatment × adolescent treatment × measure, and p<0.06 (F9,1323=1.8) for prenatal treatment × adolescent treatment × age × measure. Given the interaction of each treatment with the type of measurement, we separated the data into the individual measures and then reexamined the results for main effects of nicotine and interactions with the other variables.

Effects on DNA Concentration (Figure 2)

Regarding treatment as a one-dimensional variable with four treatment groups, ANOVA across all treatments, regions and ages, and both sexes, indicated a significant main treatment effect (F3,464=3.4, p<0.02) but no interactions of treatment with other variables. Each treatment group showed a significant overall decrement (FPLSD) as compared to controls: p<0.04 for prenatal nicotine, p<0.005 for adolescent nicotine, and p<0.01 for the combined treatment. Expanding the analysis to consider the prenatal and adolescent treatments as two separable factors uncovered additional changes: p<0.02 (F1,464=6.0) for the main effect of adolescent nicotine, p<0.08 (F3,464=2.3) for prenatal nicotine × age, p<0.1 (F2,464=2.3) for adolescent nicotine × region × sex, and p<0.03 (F1,464=4.8) for the interaction of prenatal × adolescent nicotine × sex. Accordingly, we looked both for overall effects of the individual treatments as well as for interactive effects within each region.

In the midbrain (Figure 2a), each treatment paradigm elicited a significant overall decrement in the DNA concentration. Although the effect was interactive with sex, both males and females showed significant reductions in DNA. The sex effect reflected a single age point for a single treatment group (combined treatment on PN60) for which a small deficit was present in males (−3.5±1.1%) but not females (+4.0±1.9%); accordingly, the figure shows the effects for both sexes combined. In the cerebral cortex (Figure 2b), the overall effects of the three nicotine treatment paradigms were similar to those seen in the midbrain but somewhat smaller, and thus did not achieve statistical significance (F3,155=2.3, p<0.09); indeed, the statistically marginal effects in the cerebral cortex were indistinguishable from the significant deficits seen in the midbrain and, when considered separately, effects in the cerebral cortex of the combined treatment were individually significant (p<0.02, FPLSD). There were no differences in nicotine effects on males vs females. The hippocampus (Figure 2c) displayed a complex time course (treatment × age interaction, F9,151=1.9, p<0.06) with the overall pattern clearly influenced by the denominator term (tissue weight) reflecting the biphasic effect seen for tissue weight. Accordingly, interpretation of hippocampal DNA values required examination of DNA content, which does not reflect tissue weight (see below).

Effects on DNA Content (Figure 3)

Figure 3
figure 3

Effects of adolescent nicotine administration on DNA content, presented as the percent change from control values (see Table 1). Nicotine was administered during gestation (GD4–21), adolescence (PN30-47), or during both developmental periods. ANOVA across all treatments and ages appears at the top of the panels and intergroup comparisons are shown within the panels. Tests of individual ages (asterisks) or sexes were carried out only where the ANOVA indicated an interaction of treatment with those variables.

With treatment considered as a one-dimensional variable, ANOVA across all regions and ages detected both a main treatment effect (F3,463=3.7, p<0.02) and an interaction of treatment × region (F6,463=4.2, p<0.0005). With the prenatal and adolescent treatments considered as two dimensions, we found a significant main effect of prenatal nicotine (F1,463=6.8, p<0.01) and interactions of prenatal nicotine × region (F2,463=9.3, p<0.0002), prenatal × adolescent nicotine (F1,463=3.7, p<0.06), and prenatal × adolescent nicotine × age (F3,463=2.6, p<0.06). In the midbrain (Figure 3a), decreases in DNA content did not reach statistical significance and there was no treatment × sex interaction, so that values of males and females were combined for presentation. In the cerebral cortex (Figure 3b), the effects of nicotine were dependent on both age and sex (treatment × age × sex, F9,155=2.1, p<0.04), necessitating lower-order analyses for each sex. In males, adolescent nicotine treatment elicited a significant decrease in DNA content in the immediate post-treatment period, with values resolving to normal thereafter. The same effect was seen in males exposed to nicotine prenatally and then given nicotine in adolescence. In females, the primary effect was elicited by prenatal nicotine exposure, which produced a transient increase in DNA content in adolescence regardless of whether animals received adolescent nicotine subsequently. In the hippocampus (Figure 3c), nicotine treatment evoked a significant overall increase in DNA content (main treatment effect, F3,153=5.7, p<0.002), again without distinction by sex. For prenatal treatment alone, the effect was more variable and thus was at the margin of significance (p<0.07, FPLSD). Adolescent exposure, on the other hand, evoked only minor changes, whereas the combined exposure produced an overall elevation similar to (but more consistent than) that evoked by prenatal nicotine exposure. The lack of significant effect for the group given adolescent nicotine alone was statistically distinguishable from the effects in the prenatal nicotine and combined treatment groups. None of the regions showed a significant interaction of prenatal nicotine × adolescent nicotine when the two treatments were considered as a two-dimensional variable, indicating that the effects of the combined treatment could not be distinguished statistically from the summation of the effects of the two individual treatments.

Effects on the Ratio of Total Protein/DNA (Figure 4)

Figure 4
figure 4

Effects of adolescent nicotine administration on the ratio of total protein to DNA, presented as the percent change from control values (see Table 1). Nicotine was administered during gestation (GD4–21), adolescence (PN30-47) or during both developmental periods. ANOVA across all treatments and ages appears at the top of the panels and intergroup comparisons are shown within the panels. Values were divided into males and females because of the global treatment × sex interaction (see text) but tests of individual ages were not carried out because of the absence of a treatment × age interaction.

With treatment variables regarded as a single dimension, global ANOVA detected a main treatment effect (F3,467=4.5, p<0.004) with significant differences (FPLSD) between control and prenatal nicotine groups (p<0.04), prenatal nicotine and adolescent nicotine groups (p<0.007), and prenatal nicotine and the combined treatment groups (p<0.0002). For consistency, the results are still presented separately for each region (midbrain, Figure 4a; cerebral cortex, Figure 4b; hippocampus, Figure 4c), but any interpretation of regional differences is clouded by the absence of significant treatment × region interactions. However, the effects were strongly dependent on sex (treatment × sex interaction, F3,467=4.2, p<0.006), necessitating separate analyses for males and females. Across all three regions, males showed a significant main treatment effect (F3,231=2.8, p<0.04), reflecting a net decrease in total protein/DNA evoked by prenatal nicotine exposure (p<0.004, FPLSD), regardless of whether or not the animals received subsequent adolescent nicotine treatment; accordingly, the prenatal exposure was distinguishable from the lesser effect of adolescent nicotine treatment (p<0.005, FPLSD) but not from the combined exposure. The effects in males did not achieve significance when each region was considered separately but this should be approached with caution, since there was no treatment × region interaction to permit separate distinction of regional effects. In females, nicotine had an opposite and larger effect, raising the total protein/DNA ratio. The main treatment effect (F3,236=5.9, p<0.0001) involved differences (FPLSD) between the control and adolescent groups (p<0.0004), the prenatal nicotine and combined treatment groups (p<0.0005), and the adolescent nicotine and combined treatment groups (p<0.02). Thus, in this case, adolescent nicotine treatment had greater effects than prenatal exposure.

With treatment considered as a two-dimensional variable, the same interactions were seen: p<0.003 (F1,467=9.3) for prenatal nicotine treatment × sex, and p<0.08 (F1,467=3.1) for adolescent nicotine × sex. In addition, there was a main effect of adolescent nicotine (F1,467=8.2, p<0.005) and a significant interaction between the two treatments (prenatal × adolescent nicotine, F1,467=5.2, p<0.03), indicating that prenatal nicotine exposure altered the subsequent effect of nicotine given in adolescence. Although the significant interaction of the two treatments thus indicated that effect of combined prenatal and adolescent treatment could not be statistically accounted for by the summation of the two individual sets of effects, that distinction rested on differences seen in only one region (hippocampus) at one age (PN75) in females, where either treatment alone caused a nonsignificant decrease, whereas the combined treatment produced a nonsignificant increase. All other effects of combined treatment were indistinguishable from simple additivity of the effects of prenatal and adolescent nicotine.

Effects on the Ratio of Membrane/Total Protein (Figure 5)

Figure 5
figure 5

Effects of adolescent nicotine administration on the ratio of membrane to total protein, presented as the percent change from control values (see Table 1). Nicotine was administered during gestation (GD4–21), adolescence (PN30–47) or during both developmental periods. ANOVA across all treatments and ages appears at the top of the panels and intergroup comparisons are shown within the panels. Asterisks denote individual ages at which the treated groups differ significantly from the corresponding control value, carried out only where the ANOVA indicated an interaction of treatment × age.

With a one-dimensional arrangement of the treatment variables, ANOVA detected interactions of treatment × age (F9,469=1.7, p<0.1), treatment × region (F6,469=3.4, p<0.003), treatment × age × region (F18,469=1.6, p<0.06), and treatment × age × sex (F9,469=1.7, p<0.09). Two-dimensional analysis indicated primary effects of the prenatal treatment: interactions of prenatal nicotine × region (F2,469=8.6, p<0.0003), prenatal nicotine × age (F3,469=4.1, p<0.007), prenatal nicotine × region × age (F6,469=3.6, p<0.002), and prenatal nicotine × sex × age (F3,469=2.7, p<0.05). The prenatal treatment also altered the effect of nicotine in adolescence: prenatal × adolescent nicotine (F1,469=3.1, p<0.09), and prenatal × adolescent nicotine × region × sex (F2,469=2.8, p<0.07).

In the midbrain (Figure 5a), there was a treatment × age interaction (F9,159=3.2, p<0.002), requiring consideration of effects at the different age points; since there was no treatment × sex interaction, values were combined for males and females. Prenatal nicotine exposure evoked a significant overall increase in the membrane/total protein ratio (p<0.02, FPLSD) that achieved significance individually at PN45 and PN75. In contrast, adolescent nicotine treatment had little or no effect. The combination of prenatal and adolescent nicotine treatment also showed elevations in membrane/total protein that were indistinguishable from the effects of prenatal exposure alone. In the cerebral cortex (Figure 5b), the effects of nicotine were not significant overall but the lack of significance reflected somewhat higher variability: prenatal nicotine exposure had a similar effect to that seen in the midbrain (no treatment × region interaction for midbrain and cerebral cortex), and the main effect was significant across the two regions (p<0.02, FPLSD). The hippocampus (Figure 5c) showed an entirely different pattern, characterized by significant decreases evoked by the combination of prenatal and adolescent nicotine treatment, again without distinction by sex. However, the outcome was not distinguishable from simple additivity of the two individually nonsignificant effects of prenatal and adolescent nicotine.

DISCUSSION

Results obtained in this study indicate that nicotine acts as a developmental neurotoxicant in distinct stages. Prenatal exposure elicits alterations in parameters of cell number, cell size, and membrane surface area that persist into adolescence, thus representing the final outcome of earlier perturbations in patterns of cell acquisition and synaptogenesis during the period of rapid brain development (Levin and Slotkin, 1998; Roy et al, 1998, 2002; Roy and Sabherwal, 1994, 1998; Slotkin, 1992, 1998, 1999). Furthermore, the findings for adolescent treatment by itself, consonant with earlier conclusions (Abreu-Villaça et al, 2003a, 2003b, 2004; Slotkin, 2002; Slotkin et al, 2002; Trauth et al, 2000a, 2000b, 2000c, 2001; Xu et al, 2001, 2002, 2003), indicate that the vulnerability of the brain to nicotine-induced neurotoxicity can be elicited when nicotine is given in adolescence, albeit to a lesser extent than in the fetus. In addition, we found that sequential exposure to prenatal and then adolescent nicotine elicits correspondingly greater damage. In light of epidemiological findings relating maternal smoking during pregnancy with adolescent smoking in the offspring (Cornelius et al, 2000; Kandel et al, 1994; Niaura et al, 2001), these findings suggest that the lasting neurotoxic effects of prenatal nicotine exposure from maternal smoking during pregnancy may worsen the long-term consequences of adolescent smoking, effects that could then contribute to greater likelihood of nicotine dependence or augmented withdrawal effects.

Morphological studies show that prenatal nicotine treatment elicits extensive apoptosis in the brain of the offspring during the exposure period (Berger et al, 1998; Roy et al, 1998) and, despite subsequent recovery and repair, structural anomalies are still present in adolescence (Roy and Sabherwal, 1994; Roy et al, 2002). At the biochemical level, initial deficits in cell number tend to recover or to rise above control levels during the later period associated with gliogenesis, suggesting reactive gliosis in response to neuronal damage (Slotkin et al, 1987), and indeed, elevated numbers of glial cells remain morphologically detectable in the hippocampus and somatosensory cortex at the adolescent stage (Roy et al, 2002). In the present study, we found small but significant DNA decreases in the midbrain after prenatal nicotine exposure, in association with an increase in cell surface-to-volume ratio (elevated membrane/total protein ratio), results that are also consistent either with the replacement of neurons by glia or with neuronal loss and expansion of the membrane-rich neuropil; the trend toward decreased cell size (subnormal total protein/DNA ratio) suggests that the former explanation is more likely. It should be noted that, unlike morphological determinations, the biochemical approach taken here combines cell populations from highly affected subregions with unaffected areas, lessening the net magnitude of effect. Nevertheless, the fact that significant differences are still seen in adolescence after prenatal nicotine exposure indicates that future morphological evaluations are warranted to identify more profound alterations in this region, which has not heretofore been evaluated. In the cerebral cortex, we found similar changes but to a smaller degree.

In contrast to the effects of prenatal nicotine exposure in the midbrain, we found an increase in hippocampal DNA content in association with overall hippocampal enlargement, indicative of structural changes over and above reactive gliosis. Indeed, previous morphological studies also revealed a higher neuron packing density in specific hippocampal layers in the adolescent brain after prenatal nicotine exposure (Roy et al, 2002). These results seem puzzling in light of the fact that hippocampal progenitor cells are especially susceptible to nicotine-induced apoptosis (Berger et al, 1998). However, unlike most other brain regions, the hippocampus maintains the ability to generate new neurons into adolescence (McEwen, 1999, 2001) and also undergoes extensive, continuous synaptic, and architectural remodeling (Altman and Bayer, 1990; Bayer, 1983; Bayer et al, 1982; McWilliams and Lynch, 1983). Accordingly, the long-term effects of prenatal nicotine exposure on hippocampal integrity represents the profound initial injury elicited directly by nicotine (Berger et al, 1998; Roy et al, 1998) and the subsequent adaptive rearrangement of hippocampal neuronal populations and synaptic connections. Evidence of rearrangement was also evident from the decrease in membrane/total protein, consistent with a loss of neuropil as suggested in earlier, morphological studies (Roy et al, 2002).

The effects of adolescent nicotine treatment on DNA and protein subfractions have been described previously (Abreu-Villaça et al, 2003c; Trauth et al, 2000b) and the findings presented here are in general agreement with those reports. In the current study, we also evaluated whether prenatal nicotine exposure alters the subsequent susceptibility of the brain to neurotoxicant actions of nicotine administered in adolescence. The combined exposure elicited deficits in midbrain DNA and elevations in hippocampal DNA, along with hippocampal enlargement, the same pattern as that obtained with prenatal nicotine exposure alone, albeit that the dual treatment paradigm tended to elicit greater and more consistent alterations. Statistically, the net effects of combined prenatal and adolescent exposure was not distinguishable from the summation of the two individual effects. A similar picture emerged from the studies of cell protein fractions, with the added feature of sex-dependence showing greater effects in females. To a large extent, the latter feature is likely to represent the component contributed by adolescent nicotine treatment which by itself also targets females to a greater extent (Trauth et al, 2000b, 2000c; Xu et al, 2002, 2003). The reasons underlying the sex-dependent effects of adolescent nicotine treatment have been outlined previously (Trauth et al, 1999, 2000b, 2000c; Xu et al, 2003): neuronal cell turnover and plasticity, and hence the effects of agents that affect cell replication, differentiation and neurite outgrowth, are responsive to estrogen (Tanapat et al, 1999). Although we found significant interactions between prenatal and adolescent nicotine exposure, with only a few exceptions (eg total protein/DNA ratio in hippocampus on PN75) the alterations in these biomarkers, too, showed additive effects of the two treatments. The incremental effects on cellular biomarkers thus represent a worsened outcome from the dual exposure. It should be noted that, in the animal model of adolescent nicotine exposure used here, the dose of nicotine was selected to elicit plasma levels associated with daily smoking (Trauth et al, 2000b), whereas adolescents may typically begin with occasional or lower use (DiFranza et al, 2000, 2002a, 2002b). Nevertheless, in earlier work, we found essentially similar effects from much lower doses of nicotine, regardless of whether exposure occurred continuously as with the minipump model, or episodically via injections (Abreu-Villaça et al, 2003a, 2004). Accordingly, the sensitizing effects of prenatal nicotine exposure are likely to be present at the initiation of adolescent smoking.

In sum, our major findings are that: (a) prenatal nicotine exposure produces lasting changes in indices of cell number, cell size, and surface area that persist into adolescence, the period where smoking usually commences; (b) these defects can be elicited to a smaller degree by nicotine treatment in adolescence; and (c) combining the two exposures produces a greater net effect. If similar changes occur in the offspring of women who smoke during pregnancy, they could then contribute to enhanced neurobehavioral effects of nicotine or withdrawal symptoms, increasing the susceptibility to nicotine dependence (Cornelius et al, 2000; DiFranza et al, 2000, 2002a, 2002b; Kandel et al, 1994; Niaura et al, 2001). In that way, neurotoxicant effects of nicotine may then explain, in part, the existence of a vulnerable subpopulation of adolescents who are especially predisposed to nicotine addiction (Cornelius et al, 2000; Kandel et al, 1994; Niaura et al, 2001). The fact that prenatal nicotine exposure by itself elicits widespread, lasting alterations almost certainly contributes to long-term changes involving multiple neurotransmitter systems and circuits throughout the brain (Abreu-Villaça et al, 2003a, 2003b, 2004; Levin and Slotkin, 1998; Roy et al, 1998, 2002; Roy and Sabherwal, 1994, 1998; Slotkin, 1992, 1998, 1999, 2002; Slotkin et al, 2002; Trauth et al, 2000a, 2000b, 2000c, 2001; Xu et al, 2001, 2002, 2003) and thus future studies need to address how these pathways are affected by sequential prenatal and adolescent nicotine exposure; a parallel study from our group has already found similar worsening of outcomes directed toward cholinergic systems (Abreu-Villaça et al, 2004) but, given the more generalized neurotoxicant effects, there is no reason to suspect that the synaptic effects will be limited to acetylcholine. Our findings in rats thus point to specific biological bases for the increased susceptibility of adolescent smokers to nicotine dependence, and particularly the subpopulation of adolescents whose mothers smoked during pregnancy; we suggest that this higher vulnerability comprises components of nicotine neurotoxicity as well as selective alterations in synaptic communication.