Carina Soares-Cunha1,2
Bárbara Coimbra1,2
Sónia Borges1,2
Ana Verónica Domingues1,2
Deolinda Silva1,2
Nuno Sousa1,2,3Ana João Rodrigues1,2*- 1Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- 2ICVS/3B’s−PT Government Associate Laboratory, Braga/Guimarães, Portugal
- 3Clinical Academic Center-Braga (2CA), Braga, Portugal
Stress or high levels of glucocorticoids (GCs) during developmental periods is known to induce persistent effects in the neuroendocrine circuits that control stress response, which may underlie individuals’ increased risk for developing neuropsychiatric conditions later in life, such as anxiety or depression. We developed a rat model (Wistar han) of mild exposure to unpredictable prenatal stress (PS), which consists in a 4-h stressor administered three times per week on a random basis; stressors include strobe lights, noise and restrain. Pregnant dams subjected to this protocol present disrupted circadian corticosterone secretion and increased corticosterone secretion upon acute stress exposure. Regarding progeny, both young adult (2 months old) male and female rats present increased levels of circulating corticosterone and hyperactivity of the hypothalamus-pituitary-adrenal axis to acute stress exposure. Both sexes present anxious- and depressive-like behaviors, shown by the decreased time spent in the open arms of the elevated plus maze (EPM) and in the light side of the light-dark box (LDB), and by increased immobility time in the forced swim test, respectively. Interestingly, these results were accompanied by structural modifications of the bed nucleus of stria terminalis (BNST) and hippocampus, as well as decreased norepinephrine and dopamine levels in the BNST, and serotonin levels in the hippocampus. In summary, we characterize a new model of mild PS, and show that stressful events during pregnancy can lead to long-lasting structural and neurochemical effects in the offspring, which affect behavior in adulthood.
Introduction
Early life adversity, including physical and emotional neglect and traumatic experiences, can induce persistent effects on physical and mental health in both animal models and humans (Heim and Nemeroff, 2001; Teicher et al., 2003). Specifically, there is now well-documented evidence that adversity in childhood increases the risk for development of personality disorders, major depression, posttraumatic stress disorder, anxiety and addictive disorders (Agid et al., 1999; Heim and Nemeroff, 2001; Dube et al., 2003; Chapman et al., 2004). The clinical importance of these findings is more evident if one considers that 80% of adults who experienced abuse or neglect early in life are predicted to suffer at least one episode of a psychiatric disorder such as depression and anxiety or a behavioral disorder such as addiction (Heim and Nemeroff, 2001; Edwards et al., 2003; Gutman and Nemeroff, 2003; McFarland et al., 2003; Espejo et al., 2007). In contrast, the predicted incidence of such disturbances is much lower in individuals abused as adults (Brown and Moran, 1994; McCauley et al., 1997), a finding that points to the existence of critical time windows during which the organism is particularly sensitive to stress-induced pathology later in life.
The stress response works through the activation of the hypothalamic-pituitary-adrenocortical (HPA) axis, that induces glucocorticoid (GC) release by the adrenals, which generate a negative feedback that requires mineralocorticoid (MR) and GC receptors (GR) in the brain (Szuran et al., 2000; Herman et al., 2016). The MR are important in the recognition of the stress and the onset of the stress response whereas GRs are activated by the presence of abnormally high levels of corticosterone and are important in the cessation of the stress reaction (de Kloet et al., 2005). Interestingly, much attention has been focused on the ability of early life adversity to program HPA activity (Tarullo and Gunnar, 2006; Heim et al., 2008). Importantly, in utero exposure to GC/stress has been found to be associated with long-lasting deficits in mood and affective, as well as addictive behaviors in humans (Heim and Nemeroff, 2001; Sinha, 2001; Malaspina et al., 2008) and in animal models (Oliveira et al., 2006; Mabandla et al., 2008; Markham et al., 2010; Rodrigues et al., 2012; Borges et al., 2013a,b; Soares-Cunha et al., 2014). One of the mechanisms underlying these behavioral changes may be the impact that excessive GCs reaching the fetus have on the development of brain structures involved in mood disorders. In fact, prenatal exposure to high GCs in monkeys causes a dose-dependent degeneration of hippocampal neurons, leading to reduced hippocampal volume (Uno et al., 1990). Similarly, other brain regions such as the prefrontal cortex, amygdala, bed nucleus of stria terminalis (BNST) and nucleus accumbens (NAc) are also affected in rats (Piazza and Le Moal, 1996; Murmu et al., 2006; Oliveira et al., 2006; Lupien et al., 2009; Rodrigues et al., 2012). A second mechanism that contributes to these alterations may be the induction of epigenetic alterations in specific genes. Indeed, pioneering work by Meaney and colleagues showed that the GR can be epigenetically programmed by early life adverse events in both rodents and humans (Weaver et al., 2004; Meaney et al., 2007; McGowan et al., 2009). Moreover, we have shown that prenatal GCs exposure induces long lasting epigenetic changes in dopamine receptor D2 (Rodrigues et al., 2012).
Interestingly, animal studies have also shown that male and female brain exposed to prenatal stress/GCs may undergo different reprogramming. While some argue that prenatal stress causes alterations in the HPA axis response of both male and female rats (Koehl et al., 1999), some studies point to the possibility of sex-specific alterations (Weinstock et al., 1992), thus raising doubt on the existence (or not) of a correlation between the prolonged effects of prenatal stress exposure and sex. Moreover, other studies have shown a differential impact of prenatal stress in mood according to sex (Weinstock et al., 1992; Verma et al., 2011; Weinstock, 2011).
The aim of this study was to develop a novel mild prenatal stress (PS) protocol, which consists in exposure of pregnant dams to unpredicted stress, three times per week, during the gestational days 3–20. Progeny of both sexes was characterized at adulthood (2 months old) for anxious, depressive, impulsive and reward-related behaviors. Moreover, we evaluated structural and neurochemical changes in key brain regions involved in these behavioral dimensions, namely the hippocampus, amygdala, BNST and NAc.
Materials and Methods
Animals
Twelve double housed virgin female Wistar han rats (8–10 weeks of age, weighing ~250 g) were housed overnight with six experienced male Wistar han rats (6 months of age, weighing ~500 g) and were maintained under standard laboratory conditions with an artificial 12-h light/dark cycle (lights on from 08:00 to 20:00), with an ambient temperature of 21 ± 1°C and a relative humidity of 50%–60%. Standard mating/pregnancy diet (4RF25, Mucedola SRL) and water were given ad libitum, except when stated otherwise. Males were removed from the box and females were kept individually housed from pregnancy day 0—which was considered the day when sperm was observed in the vaginal smear—forward.
Progeny from each individual litter were weaned on post-natal day 21 and pair-housed according to sex. The number of animals per litter (male and female) is indicated in Supplementary Table S1. Animals were maintained in the same housing conditions as mothers. Male and female progeny derived from at least four different litters were used for all the behavioral, physiological and neurochemical tests, to control for potential litter effects. All behavioral tests were performed when animals were 2–4 months old (61–115 days of age). All animals performed all behavioral tests.
The following behavioral tests were performed from 9:00 to 13:00: Elevated Plus Maze (EPM), Open field (OF), Light/Dark Box test (LDB) and Forced Swimming Test (FST).
The training sessions of the Variable Delay-to-Signal (VDS) and Progressive Ratio (PR) were performed from 9:00 to 19:00; one session was performed in the morning and one session was performed in the afternoon (with an interval of at least 4 h between training sessions). The test sessions of the VDS and PR were performed from 9:00 to 13:00.
The SPT was performed during the dark period, from 21:00 to 22:00.
Health monitoring was performed according to FELASA guidelines. All procedures were conducted in accordance with European Regulations (European Union Directive 2010/63/EU). Animal facilities and the people directly involved in animal experiments were certified by the Portuguese regulatory entity—Direcão-Geral de Alimentação e Veterinária (DGAV—project 023432). All protocols were approved by the Ethics Committee of ICVS.
Prenatal Stress Protocol
From pregnancy day 3 to day 20, six randomly-selected pregnant female rats were subjected to an unpredictable stress protocol (PS, prenatal stress group) that consisted of 4 h of restraint in a cylindric box with 12 cm diameter, stroboscopic lights (Strobeyellow, Disco Pro Light) or exposure to noise (80 dB), given three times per week in a random basis. Control female rats (CTR group, n = 6) were left undisturbed in their home cages. At weaning day (post-natal day 21), male and female offspring were house-paired randomly, according with PS treatment (PS or CTR animals), under standard laboratory conditions: artificial 12 h light/dark cycle (lights on from 08:00 a.m. to 08:00 p.m.); room temperature 22°C; food (4RF21, Mucedola SRL) and water were provided ad libitum, unless stated otherwise. Animals derived from all litters were used for the experimental procedures.
Body Weight Monitoring
Male and female offspring body weight was monitored from birth until adulthood (from days 1 to 80 post-birth). Body weight was assessed once a week; data is presented as total body weight in grams.
Behavioral Tests
The behavioral timeline is shown in Figure 3A.
Figure 1. Development of a model of prenatal exposure to unpredictable mild stress. (A) Experimental timeline. Pregnant females Wistar han rats (age of 8 weeks, n = 6) were exposed to an unpredictable stress protocol (consisting of strobe lights, restraint or noise), applied three times per week in a random fashion from day 3 to day 20 of pregnancy (progeny—prenatal stress group). Progeny of control group derived from age-matched female rats that were handled daily throughout pregnancy. Blood samples were collected from all pregnant dams on day 2 and day 20, and from progeny in adulthood. Different behavioral tests were conducted in young adult male and female progeny. Stereological measurements and catecholamine levels of specific brain regions were evaluated in the progeny. (B) Morning (8 am) and night (8 pm) serum corticosterone levels of control and stress-exposed prenatal stress (PS) pregnant dams were measured at the beginning of pregnancy (day 2, n = 5) and (C) at the end of pregnancy (day 20, n = 4). PS pregnant dams present a disruption in corticosterone circadian secretion at later stages of gestation. (D) Corticosterone levels of control and PS mothers were also measured after exposure to an acute stressor (restraint for 30 min; n = 4). PS mothers present significantly higher corticosterone secretion after acute stress in comparison to controls group. Error bars denote SEM. *p < 0.05, ***p < 0.001.
Figure 2. Prenatal mild stress disrupts corticosterone levels in offspring. (A) Body weight gain of male rats prenatally exposed to stress (PS, n = 28) and control group (CTR, n = 8), showing no differences in body weight gain as animals aged. (B) Body weight gain of female rats prenatally exposed to stress (PS, n = 20) and control group (CTR, n = 9), showing no differences between groups. (C) Basal serum corticosterone levels of male and female PS is increased in comparison with CTR rats, although not statistically significant (nPS males = 6, nCTR males = 6, nPS females = 6, nCTR females = 4). (D) Upon acute stress exposure (restraint for 30 min), male and female PS rats presented significantly increased serum levels of corticosterone (nPS males = 8, nCTR males = 4, nPS females = 6, nCTR females = 6). Error bars denote SEM. *p < 0.05.
Figure 3. Prenatal mild stress induces anxious- and depressive-like behaviors. (A) Timeline of the behavioral tests performed; all rats performed the same behavioral tests in the order shown; EPM, Elevated Plus Maze; OF, Open field; LDB, Light/Dark Box; FST, Forced Swimming Test; SPT, Sucrose Preference Test; PR, Progressive Ratio; VDS, Variable Delay to Signal. (B) In the EPM, PS male and female rats exhibited a decrease in time spent in the open arms of the maze, when compared with control group (nPS males = 9, nCTR males = 9, nPS females = 11, nCTR females = 12), indicative of anxious behavior. (C) In agreement with an anxious phenotype, in the LDB test, PS male and female rats spent significantly less time in the light zone, when compared with same-sex CTR (nPS males = 11, nCTR males = 9, nPS females = 8, nCTR females = 7). (D) In the FST, PS male and female rats present increased immobility time and decreased latency to immobility and climbing attempts (nPS males = 11, nCTR males = 9, nPS females = 12, nCTR females = 12), a measure of behavioral despair, and suggestive of depressive-like behavior. (E) No major differences in SPT were found (nPS males = 8, nCTR males = 8, nPS females = 12, nCTR females = 12). This test evaluates anhedonia, another dimension of depressive-like behavior. Error bars denote SEM. *p < 0.05, ***p < 0.001.
Anxiety Evaluation
Open Field (OF)
The OF test was conducted in an arena (43.2 cm × 43.2 cm) with transparent acrylic walls and white floor (Med Associates Inc., St. Albans, VT, USA). Rats were placed in the center of the arena and movement was monitored over a period of 10 min with the aid of two 16-beam infrared arrays. Total distance traveled was used as an indicator of locomotor activity.
Elevated Plus Maze (EPM)
The EPM test was carried out under bright white light. Animals were placed individually for 5 min in the center of a black polypropylene plus-shaped platform elevated 72.4 cm above the floor. The apparatus consisted in two open arms (50.8 cm × 10.2 cm) and two closed arms (50.8 cm × 10.2 cm × 40.6 cm; MedAssociates Inc., St. Albans, VT, USA). The number of entries into each arm and the time spent therein were recorded.
Light/Dark Box (LDB)
The LDB test was performed inside the OF arena (43.2 cm × 43.2 cm; MedAssociates Inc., St. Albans, VT, USA). A dark compartment was attached to one side with an opening facing the center of the OF. Animals were individually placed in the center of the illuminated part. The distance traveled and time spent in each compartment was recorded in a single trial of 10 min.
Depressive-Like Behavior Evaluation
Forced Swimming Test (FST)
Rats were placed in cylinders filled with warmed water. After a 5-min pre-test session, animals were retested 24 h later (5 min test). At the end of each session, animals were placed on a heating pad before returned to their home cage. A video camera placed in front of the cylinder was used to record sessions, and later scored by an investigator blind to the experimental details. Time of immobility (passiveness; defined as time spent either immobile or making righting movements to stay afloat), latency to immobility and number of climbing attempts were scored.
Sucrose Preference Test (SPT)
Anhedonia was assessed by the SPT, at two time points, with a 2-day interval. Before each trial, rats were food and water deprived for 12 h. For testing, two pre-weighed bottles containing water or a 2% (m/v) sucrose solution were presented to individually housed animals for 1 h. Sucrose preference (SP) was calculated according to the formula: SP = (sucrose intake/(sucrose intake + water intake)) × 100. Anhedonia was defined as a reduction in SP relative to baseline levels.
Impulsivity Evaluation
Variable Delay-to-Signal (VDS)
The VDS provides rapid and simultaneous assessment of response and decision impulsivity in rodents. This test consists of a series of trials, in a single 30 min session, in which the time period where an action (nose poke) triggers the delivery of a sugared reward is signaled by a light, presented after a variable delay (Leite-Almeida et al., 2013). Animals were kept food-deprived during the whole protocol, which included habituation, training and testing phases. The protocol was performed in a nearly square shaped (25 cm × 25 cm) 5-hole operant chamber (OC; TSE Systems GmbH, Germany). Five square apertures (2.5 × 2.5 cm; #1–#5) with a 3W light bulb and infrared photo beams to detect movements were distributed in a slightly curved wall. On the opposite wall there was another aperture (#6), also equipped with light and photo beams, connected to a food dispenser. Above aperture #6 a house light illuminating the operant chamber. Four chambers were simultaneously used each placed inside sound attenuating chambers, with electrical fans providing ventilation and white noise.
In short, animals were habituated for 2 days. Afterwards, animals were exposed to 10 training sessions that occurred twice daily, with a 5 h interval in between, for five consecutive days. Each training session was initiated by turning on the house light and delivering one sugared pellet in the food magazine, the collection of which started an intertrial interval (ITI) of 3 s. Trials then started, consisting of a 3 s period with only the house light on (delay period), followed by lightning of the response aperture for 60 s (response period). Nose pokes in this aperture were either punished with a timeout period in complete darkness, if performed during the delay period (premature responses), or rewarded with the delivery of a pellet if performed during the response period. Collection of a food reward always triggered a 3 s ITI, before a new trial begun. Training sessions were carried until 100 trials were completed or until 30 min had elapsed, on several consecutive days until average premature responding stabilized. Animals failing to complete 100 trials in the 30 min limit at the end of the training period were removed from the task.
At the end of the training period animals were exposed to the single VDS testing day. The VDS testing session occurred on a single day and consisted of 120 trials, similar to those previously described, with the exception of the delay, which was 3 s in the first and the last 25 trials and randomly either 6 or 12 s in the middle 70 trials (leading to a 3 s—6/12 s—3 s configuration).
Motivation Test
Progressive Ratio (PR) Schedule of Reinforcement
The PR test is a direct reflection of motivation, since it determines the amount of work (breakpoint) that rats are willing to exert to obtain food rewards in an operant task. The protocol was performed according to previous descriptions (Wanat et al., 2010; Soares-Cunha et al., 2016). Rats were placed and maintained on food restriction (~7 g per day of standard lab chow) to maintain 90% free-feeding weight. Forty-five milligram food pellets (F0021; BioServ), used in the behavioral protocol, were placed in their home cages on the day before the first training session to familiarize the rats with the food pellets. Behavioral sessions were performed in operant chambers (Med Associates).
In short, animals were exposed to 6 days of continuous reinforcement (CRF) training, in which each lever pressing resulted in the delivery of one food pellet, followed by one session of fixed-ratio (FR) 1 (in which one lever pressing is required to obtain one food pellet), four sessions of FR 4 (in which four lever presses are required to obtain one food pellet) and one session of FR8 (in which eight lever presses are required to obtain one food pellet). On the test day, rats were exposed to PR test. PR sessions were identical to FR4 sessions except that the operant requirement on each trial (T) was the integer (rounded down) of 1.4(T-1) lever presses, starting at one lever press. PR sessions ended after 15 min elapsed without completion of the response requirement in a trial.
Corticosterone Measurement
Mothers’ corticosterone levels were determined in blood samples (250 μl) withdrawn from the tail vein before the beginning of the stress protocol, at two distinct time-points (at the beginning of the light cycle (8:00) and at the beginning of the dark cycle (20:00)), and after the last day of stress protocol (at the beginning of the light cycle (8:00) and at the beginning of the dark cycle (20:00)). Adult progeny’s (male and female CTR and PS animals derived from at least four different litters) corticosterone levels were also determined in blood samples (250 μl) withdrawn from the tail vein before a 30 min restraint stress protocol, and 120 min afterward. Corticosterone concentration was determined using an ELISA corticosterone kit (ENZO Life Sciences) according to the manufacturers guidelines. Briefly, corticosterone from 10 μl of plasma was extracted and ran in the corticosterone assay that relies on the recognition of corticosterone from a specific ELISA antibody. Quantification of corticosterone from samples was calculated as the average net optical density bound for each standard and sample.
Corticosterone Levels in Response to Acute Stress
To assess the response of the HPA axis to acute stress, blood from the tail (tail pinching) of the animals was collected at 14:00 (for assessment of corticosterone basal levels). Immediately after this period animals were exposed to an acute stress, consisting of a 30 min restraint protocol. Rats were individually placed in a plastic cylindrical box with holes. Two hours after stress blood was again collected by tail pinching.
Pregnant stress-exposed and control dams were exposed to the corticosterone response to stress assay on gestation day 20.
Progeny (male and female CTR and PS) corticosterone response to stress was assessed on post-natal day 60.
Corticosterone levels were measured in the plasma of rats as described above.
Macrodissection
Male and female CTR and PS animals (n = 6/group, derived from at least four different litters) were deeply anesthetized with lethal dose of pentobarbital, decapitated and heads were immediately snap-frozen in liquid nitrogen. Brain areas of interest were rapidly dissected on ice under a stereomicroscope, observing anatomical landmarks (according to Paxinos and Watson, 2005). Samples were snap-frozen (dry ice) and stored at −80°C until use.
Neurochemical Evaluation
Levels of catecholamines were assayed by high-performance liquid chromatography, combined with electrochemical detection (HPLC/EC) using a Gilson instrument (Gilson, Middleton, WI, USA), fitted with an analytical column (Supleco Supelcosil LC-18 3 mM, Bellefonte, PA, USA; flow rate: 1.0 ml min−1). Samples were stored overnight in 0.2 N perchloric acid at −20°C, sonicated (5 min on ice) and centrifuged at 5000 g. The resulting supernatant was filtered through a Spin-X HPLC column (Costar, Lowell, MA, USA) to remove debris and 150 ml aliquots were injected into the HPLC system, using a mobile phase of 0.7 M aqueous potassium phosphate (pH 3.0) in 10% methanol, 1-heptanesulfonic acid (222 mg l−1) and Na-EDTA (40 mg l−1). A standard curve using known concentrations of all catecholamines was run each day.
Histological Procedures
Male and female CTR and PS animals (n = 4/group, derived from at least four different litters) were anesthetized with pentobarbital and were transcardially perfused with 0.9% saline followed by 4% paraformaldehyde (PFA). Brains were removed and placed in 4% PFA. After 4 weeks in PFA, brains were split into two hemispheres by a midsagittal section and processed for stereology, according to the procedure previously described (Keuker et al., 2001). Briefly, they were included in glycolmethacrylate (Tecnovit 7100) and every other microtome-cut section (30 μm) was then collected on a gelatinized slide, stained with Giemsa, and mounted with Entellan New (Merck). The shrinkage factor was calculated according to Madeira et al. (1990).
Stereological Procedures
Volume estimations was obtained using StereoInvestigator® software (MicroBrightField, Williston, VT, USA) and a motorized microscope (Axioplan 2, Carl Zeiss, Hamburg, Germany) attached to a camera (DXC-390, Sony Corporation, Tokyo, Japan). The Cavalieri’s principle (Gundersen et al., 1999) was applied to evaluate the volume of each region. For BNST and amygdala sub-regions, central amygdala (CeA) and basolateral amygdala (BLA; brain regions identified using a brain atlas (Paxinos and Watson, 2005)), every 4th section was used. For NAc sub-regions, NAc core and NAc shell (brain regions identified using a brain atlas (Paxinos and Watson, 2005)), every eighth section was used. For hippocampal sub-regions, cornus ammonis (CA) 1, CA3 and dentate gyrus (DG; brain regions identified using a brain atlas (Paxinos and Watson, 2005)), every 12th section was used. The volume of the region of interest was calculated from the number of points that fell within its boundaries and the distance between the systematically sampled sections.
Total cell numbers were estimated using the optical fractionator method (West et al., 1991). Briefly, a grid of virtual 3D-boxes (30 μm × 30 μm × 15 μm) equally spaced (using the same grid spacing as for volume estimations) was superimposed on every section of the lamina of interest and cells within boxes were counted. Coefficients of error were automatically computed, according to the formulas of Gundersen et al. (1999) for cell numbers and Gundersen and Jensen (1987) for volume estimations. Glial cells were not included in the estimations, and the discrimination between neuronal and glial cell body profiles was based on the criteria described before (Ling et al., 1973; Peinado et al., 1997).
Statistical Analysis
Normality tests were performed for all data (Shapiro-Wilk test). Outliers were identified using Tukey’s fences; outliers were removed before proceeding with statistical analysis.
Student’s t-test was used for analysis of corticosterone levels; stereology data (volume and number of cells); catecholamine levels and the behavioral tests, with the exception of VDS (experimental group × delay) and CRF and FR trainings of the PR test (experimental group × day of training), in which analysis of variance (ANOVA) and Bonferroni post hoc test were used.
Since catecholamine levels within the BNST distribution was not normal, non-parametric Mann-Whitney test was applied.
Results are presented as mean ± SEM. All statistical analysis was performed using Prism GraphPad (v7) and results were considered significant for P ≤ 0.05.
Results
Establishment of a Maternal Chronic Unpredictable Mild Stress Protocol
We developed a model of maternal exposure to chronic unpredictable mild stress, which consisted in exposure to three distinct stressors—loud noise, strobe lights and restraint—with the duration of 4 h per day, three times per week, on a random order. The protocol began on pregnancy day 3 and extended until day 20 of pregnancy (Figure 1A).
We were able to observe significant changes in circulating corticosterone levels measured in the plasma of mothers exposed to gestational stress (PS). Before the beginning of the stress protocol, pregnant dams showed normal levels of corticosterone, with a low peak in the morning blood collection and a high peak in the night collection, as expected (Figure 1B; CTR: t(6) = 3.81, p = 0.009; PS: t(5)= 4.1, p = 0.009). At the end of stress protocol, the circadian rhythm of corticosterone secretion was disrupted (Figure 1C; CTR: t(8) = 4.1, p = 0.003; PS: t(6) = 0.6, p = 0.593; CTR day vs. PS day: t(7) = 3.4, p = 0.0109). In addition, we also found that PS-exposed mothers presented increased release of corticosterone upon exposure to an acute stress (Figure 1D; t(6) = 8.5, p < 0.001), suggesting impairment in the negative feedback of the HPA axis.
Prenatal Exposure to Unpredictable Mild Stress Enhances Corticosterone Release in the Progeny
We evaluated the body weight gain of both male and female control (CTR) rats and those prenatally exposed to PS. There were no differences in the weight gain of the progeny since birth until 10 weeks of age (Figures 2A,B). We found a trend for increased corticosterone in both sexes of PS group, though it was highly variable between animals (Figure 2C; males: t(9) = 1.8, p = 0.103; females: t(8) = 1.8, p = 0.1143). Interestingly, both PS males and PS females secreted higher levels of corticosterone in response to an acute stress (Figure 2D; males: t(10) = 3.1, p = 0.01: females: t(10) = 3.1, p = 0.01), suggesting impairment in the HPA axis activity caused by PS exposure.
Prenatal Exposure to Mild Stress Causes Anxious-Like Behavior in Both Sexes
In order to assess if PS exposure could have an impact in the behavior of adult offspring, we exposed 2-month old rats to the EPM, the OF and the LDB test to assess anxious behavior. In the EPM, both male and female PS animals spent significantly less time in the open arms (Figure 3B; males: t(15) = 2.2, p = 0.04; females: t(20) = 3.9, p = 0.0008), suggesting increased anxious behavior. In agreement, in the LDB test, PS exposure caused a significant decrease in time spent in the light side of the box (anxiogenic) in comparison with CTR rats in both sexes (Figure 3C; males: t(13) = 2.1, p = 0.05; females: t(13) = 2.17, p = 0.049). Regarding the OF test, no significant differences were found in the distance traveled (Supplementary Figure S1A) or time spent (Supplementary Figure S1B) in the center and the periphery of the arena between PS and CTR rats of both sexes.
Prenatal Exposure to Mild Stress Causes Depressive-Like Behaviors in Both Sexes
Next, we also evaluated depressive-like behavior using the FST. PS exposure causes a significant increase in the time rats spend immobile in both sexes (Figure 3D; males: t(14) = 3.1, p = 0.0087; females: t(22) = 2.56, p = 0.0178), consistent with increased depressive-like behavior. In addition, we examined the hedonic status of PS-exposed rats by performing the SPT. Interestingly, no major differences were observed in the SPT test between groups (Figure 3E).
Prenatal Exposure to Mild Stress Does Not Induce Motivational Deficits Nor Causes Impulsivity Traits
Next, we evaluated the motivational status of animals using the PR schedule of reinforcement (PR test), which measures the willingness of the animals to work to obtain a food pellet (reward). The breakpoint, i.e., when animals give up, represents a direct measure of motivation. First, we observed that both male and female animals acquired instrumental conditioning in the CRF training, shown by the increase in lever press over the days of training (Supplementary Figure S2A; CONT males vs. PS males: F(4, 28) = 109, p < 0.001; CONT females vs. PS females: F(4,40) = 91.4, p < 0.001). Similarly, both sexes increased lever pressing over fixed ratio (FR) days of training (Supplementary Figure S2B; CONT males vs. PS males: F(4,120) = 50.7, p < 0.001; CONT females vs. PS females: F(4,160) = 45.1, p < 0.001), and show significantly more lever pressing in the active lever than in the inactive lever (Supplementary Figure S2B; CONT males vs. PS males: F(3,30) = 136.4, p < 0.001; CONT females vs. PS females: F(3,40) = 120.8, p < 0.001). These results indicate that PS rats of both sexes are able to learn the task in a similar manner. No significant differences were observed in the breakpoint of PS animals in comparison with CTR rats in both sexes, suggesting that PS did not influence motivation (Supplementary Figure S2C; males: t(15) = 0.6, p = 0.531; females: t(20) = 1.0, p = 0.318). Similarly, no differences in the number of food pellets consumed during the PR session were observed (Supplementary Figure S2D).
We also tested animals in the VDS test, a paradigm designed to assess impulsivity. Interestingly, no significant differences were found in the VDS test (Supplementary Figure S2E).
Structural Changes in the Limbic System Caused by Prenatal Stress Exposure
In order to better understand the cause of the behavioral deficits observed in PS rats, we measured the volume and the number of cells, and evaluated catecholamine content of different regions of the limbic system, namely the BNST, hippocampus, amygdala and NAc.
PS causes a significant decrease in the volume of the BSNT in both males and females (Figures 4A,B; males: t(9) = 4.3, p = 0.0018; females: t(6) = 2.8, p = 0.0322). Females also presented a significant reduction in total number of cells in the same brain region (Figure 4C; t(5) = 4.4, p = 0.0071). Additionally, PS exposure caused a trend for decreased levels of norepinephrine and dopamine of male PS rats (Figure 4D; norepinephrine: U6 = 2.0, p = 0.114; dopamine: U6 = 2.0, p = 0.057), and a significant decrease in PS female rats in comparison to CTR female rats (Figure 4D; norepinephrine: U6 = 0.0, p = 0.0286; dopamine: t(6) = 2.6, p = 0.039).
Figure 4. Exposure to prenatal mild stress alters the structure and neurochemical content of the bed nucleus of stria terminalis (BNST). (A) Representative image of the BNST anatomy, using a methacrylate coronal section of a rat’s brain; numbers represent distance to Bregma; scale bar = 1 mm. (B) PS animals of both genders show a significant reduction in the volume of the BNST (nPS males = 7, nCTR males = 4, nPS females = 4, nCTR females = 4). (C) Females also present a decrease in the total number of cells (nPS males = 4, nCTR males = 3, nPS females = 3, nCTR females = 4), whereas males present a similar number as CTR. (D) HPLC measurement of catecholamines revealed that the BNST of female PS animals present a reduction in norepinephrine and dopamine levels in comparison with CTR female rats, and there is a trend for decreased levels of the same amines in male PS rats; no major differences were found in other neurotransmitter levels (nPS males = 4, nCTR males = 4, nPS females = 4, nCTR females = 4). Error bars denote SEM. *p < 0.05, **p < 0.01.
A significant decrease in the volume and total number of cells of the CA3 layer of the ventral hippocampus (Figures 5A,B, volume: t(7) = 3.4, p = 0.0111; Figure 5C, number of cells: t(6) = 3.4, p = 0.0141) and in the total number of cells in the CA1 sub-region (Figure 5C; t(6) = 5.9, p = 0.0011) in PS males, but not in females. On the other hand, CA3 and CA1 sub-regions of the dorsal hippocampus were significantly enlarged in male PS rats in comparison with male CTR rats (Figure 5D; dorsal CA1: t(8) = 2.6, p = 0.031; CA3: t(6) = 2.6, p = 0.030), with no differences in the total number of cells (Figure 5E). No differences were found in females. Both male and female PS animals presented a significant decrease in the levels of serotonin in the hippocampus, when compared with same-sex controls (Figure 5F; males: t(6) = 5.7, p = 0.001; females: t(6) = 3.2, p = 0.019).
Figure 5. Exposure to prenatal mild stress alters the structure and neurochemical content of the hippocampus. (A) Representative image of the ventral and dorsal hippocampus anatomy, using a methacrylate coronal section of a rat’s brain; numbers represent distance to Bregma; scale bar = 1 mm. (B) Male PS animals showed a significant reduction in the volume of the CA3 sub-region of the ventral hippocampus, with no significant differences in other sub-divisions of this brain region in comparison with male CTR rats; female PS rats did not show any significant difference in comparison with CTR (rats nPS males = 5, nCTR males = 4, nPS females = 5, nCTR females = 4). (C) Male PS rats also presented a reduced number of cells in CA1 and CA3 sub-regions of the ventral hippocampus, but not PS females (rats nPS males = 4, nCTR males = 4, nPS females = 4, nCTR females = 3). (D) Male PS animals showed a significant increase in the volume of the CA1 and CA3 sub-regions of the dorsal hippocampus, with no significant differences in dentate gyrus (DG) in comparison with male CTR rats; female PS rats did not show any significant difference in comparison with CTR female rats (nPS males = 6, nCTR males = 4, nPS females = 5, nCTR females = 4). (E) No differences were observed in the total number of cells between PS and CTR groups in the dorsal hippocampus (nPS males = 6, nCTR males = 4, nPS females = 5, nCTR females = 4). (F) Hippocampal catecholamine profile showing a reduction in serotonin levels in both male and female PS groups in comparison with same-sex CTR rats; no major differences were found in other neurotransmitters (rats nPS males = 4, nCTR males = 4, nPS females = 4, nCTR females = 4). Error bars denote SEM. *p < 0.05, **p < 0.01.
No differences were found in the volume of the amygdala sub-regions (Figure 6A)—CeA (Figure 6B) and BLA (Figure 6C)—and the NAc (Figure 6D)—core (Figure 6E) and shell (Figure 6F) sub-regions.
Figure 6. PS exposure does not alter the volume of the amygdala or the nucleus accumbens (NAc). (A) Representative image of the amygdala sub-regions, centralamygdala (CeA) and basolateral amygdala (BLA), using a methacrylate coronal section of a rat’s brain; numbers represent distance to Bregma; scale bar = 1 mm. PS exposure does not alter the volume of (B) CeA or (C) BLA of both male and female PS rats in comparison with same-sex controls (rats nPS males = 6, nCTR males = 4, nPS females = 5, nCTR females = 3). (D) Representative image of the NAc sub-regions, NAc core and NAc shell, using a methacrylate coronal section of a rat’s brain; numbers represent distance to Bregma; scale bar = 1 mm. PS exposure does not alter the volume of (E) NAc core or (F) NAc shell of both male and female PS rats in comparison with same-sex CTR (rats nPS males = 9, nCTR males = 4, nPS females = 5, nCTR females = 3). Error bars denote SEM.
Discussion
Since early studies by David J. Barker focusing on the fetal and developmental origins of adult disease, a large effort has been made to identify how early life adversity can program adult life. In humans, the large proportion of information about the long-term effects of stress exposure during pregnancy on the offspring of human subjects has been obtained from retrospective studies (Brouwers et al., 2001; Weinstock, 2001; Kofman, 2002; Gutteling et al., 2006). These studies have been helpful to associate maternal stress with impaired metabolic, immune and neuropsychological outcomes in the progeny (Lupien et al., 2009). However, one challenge of human studies is that external variables are not easily controlled, and it is very difficult to evaluate the long-term consequences of PS without interference of daily life stress. In this perspective, the development and study of animal models of PS, in which the timing, duration and intensity of exposure to stress is strictly controlled, poses a great advantage for this type of studies.
In this work, we show that exposure to chronic unpredictable mild stress during pregnancy induces depressive and anxious symptoms in the male and female adult offspring, accompanied by structural and molecular changes in the hippocampus and BNST brain regions. Importantly, these findings corroborate the premise that adverse events occurring during prenatal period can enhance vulnerability for anxious and depressive phenotypes in adulthood both in animal models and humans (nicely reviewed by (Lupien et al., 2009) and (Weinstock, 2016)). Indeed, in humans, it is well recognized that the offspring of women exposed to stressors during gestation, like natural disasters or adverse life events have a higher risk of psychopathology (Weinstock, 2008; Charil et al., 2010), including hyperanxiety and depression (Van den Bergh et al., 2008; Van Lieshout and Boylan, 2010). Animal studies, in general, mimic these findings; nonetheless there are a large number of models of PS, due to the possibility of controlling stressor intensity and duration. Some works report the use of severe PS paradigms such as electric shocks daily throughout pregnancy (Estanislau and Morato, 2005; Yang et al., 2006). A large number of studies use a single stressor throughout pregnancy that often consists of restraint or bright lights (McCormick et al., 1995; Fujioka et al., 2001; Zuena et al., 2008; Lui et al., 2011; Laloux et al., 2012; Van den Hove et al., 2013). Akin to our study, others prefer the use of different stressors in a random manner, such as protocols of gestational unpredictable mild stress, to reduce the likelihood of habituation to stress (Hougaard et al., 2005; Bourke et al., 2013; Wilson et al., 2013; Wang et al., 2015a,b). Regardless of the type of PS, one consistent finding is the appearance of anxiety and depressive-like behavior in offspring (Estanislau and Morato, 2005; Zuena et al., 2008; Laloux et al., 2012; Wilson et al., 2013; Wang et al., 2015a,b).
One important consideration is that most of the studies apply stressors from day 10 of pregnancy onwards to prevent abortion, but we decided to start stress protocol at day 3. This is an important point because there are different windows of susceptibility to stress effects. For example, it has been shown that the same stressor applied in different stages of pregnancy induces different behavioral outcomes (Liu et al., 2008; Zuena et al., 2008; Fujita et al., 2010; Jia et al., 2010; Głombik et al., 2015).
One important finding is that though we observe anxious and depressive-behaviors, this PS paradigm does not affect other behavioral dimensions such as impulsivity or motivational drive, contrary to other stressors or prenatal GC exposure (Virgolini et al., 2008; Soares-Cunha et al., 2014; Weston et al., 2014). It is important to refer that in this work, animals were tested during the light period of the cycle, which may be a confounding factor in the interpretation of the behavioral data. Though several other studies also evaluate (stress effects in) behavior during the inactive period (Beeler et al., 2006; Roque et al., 2011; Borges et al., 2013b; Alves et al., 2017; Morais et al., 2017), these animals should be tested during their active period as well, which can increase the discriminatory effect of the behavioral tests (Hossain et al., 2004).
Our model of PS caused significant impairment in the production and release of corticosterone in the mothers. Although GCs are necessary in late gestation to promote fetal development (Roberts and Dalziel, 2006; Brownfoot et al., 2013; Moisiadis and Matthews, 2014a, b), inadequate levels of these hormones, such as for example when released early in pregnancy or in high levels, may disrupt the negative feedback of HPA axis, leading to a disturbance in the ability to control the release of these hormones (Roberts and Dalziel, 2006; Brownfoot et al., 2013; Moisiadis and Matthews, 2014a, b). In line with this, we show that, although basal corticosterone levels of PS progeny are similar to control animals, when exposed to an acute stress, these animals present a significant increase in corticosterone levels (in both sexes). This suggests that there is an impairment in the HPA axis, a phenomenon that has been observed in other models of PS (Levine, 1967; Hougaard et al., 2005; Weinstock, 2005; Wilson et al., 2013; Jafari et al., 2017).
Dysregulation of the HPA axis has been associated with different neuropsychiatric conditions such as anxiety and depression in humans (Varghese and Brown, 2001; Wardenaar et al., 2011) and animal models (Varghese and Brown, 2001; Wardenaar et al., 2011). In line with this view, we show that PS animals of both sexes present anxious behavior in two behavioral paradigms. Interestingly, in humans, self-reporting data suggests that PS may also induce a chronic anxiety state in adulthood (Ward, 1991; Van den Bergh and Marcoen, 2004). The anxiogenic phenotype may be caused by the volumetric alterations in the BNST observed in PS progeny, since this brain region has been linked for long to anxiety (Walker et al., 2003; Waddell et al., 2006). Besides the atrophy, the observed catecholaminergic changes may also contribute for the anxious behavior. In fact, other studies have associated an atrophy of the BNST and catecholamine deregulation with anxious behavior (Oliveira et al., 2012). In accordance, several other studies have described a unique role for this brain region in anxiety-like responses in rodents (Walker et al., 2003; Davis et al., 2010).
In addition to the notorious anxious phenotype, PS animals also revealed a significant depressive-like behavior, akin to other animal models of early life stress exposure (Borges et al., 2013a; Palacios-García et al., 2015). One potential explanation for this behavioral trait is the observed decrease in hippocampal serotonin levels of both males and females, given that depression has been strongly linked to impairments in serotonergic neurotransmission (Mahar et al., 2014). In addition to the neurochemical modifications caused by exposure to PS, substantial alterations were also observed in CA1 and CA3 hippocampal structure, being ventral hippocampus hypotrophic and dorsal hippocampus hypertrophic in PS-exposed males. Consistent with our data, other study has reported that PS causes dendritic atrophy of the pyramidal neurons of the CA3 sub-region in offspring (Jia et al., 2010). In addition, our data are in accordance with human studies that show that hippocampal atrophy is associated with recurrent depressive illness (Videbech and Ravnkilde, 2004; McKinnon et al., 2009). Despite this, it is still unclear why PS females present the same behavioral trait without evident changes in hippocampal structure. One cannot rule out that, although structurally intact, the hippocampus may be malfunctioning in the female brain, which is in agreement with the observed serotonergic neurotransmission impairment in these animals.
In addition, one cannot neglect the contribution of other brain regions for depressive behavior such as the amygdala and the NAc. Consistent with the data that we report here showing no volumetric changes in the amygdala of neither PS males nor females, others have also shown the same in depressive human patients (von Gunten et al., 2000; Hickie et al., 2007). However, functional MRI studies show that BLA is hyperactive in several mood disorders, with no apparent volumetric differences (Drevets et al., 1992; Sheline et al., 1996), so one cannot rule out the possibility of this brain region being dysfunctional and (partially) contribute to the observed phenotype. Regarding the NAc, several studies have associated stress-induced changes of this brain region with depressive behavior (Martínez-Téllez et al., 2009; Morales-Medina et al., 2009; Rodrigues et al., 2012; Bessa et al., 2013; Russo and Nestler, 2013; Haim et al., 2014; Francis et al., 2015). However, we found no structural differences in the NAc in this model of PS. Human studies also showed no changes in NAc volume in major depression (Bremner et al., 2000; Hannestad et al., 2006). We also did not find any motivational deficits in PS animals, another core symptom of depressive behavior, nor found any differences in impulsivity which has also been linked to this brain region, suggesting relatively intact NAc (Cardinal et al., 2001; Basar et al., 2010; Soares-Cunha et al., 2016). Yet, functional studies such as in vivo electrophysiology or in vivo calcium imaging in freely moving animals would be crucial to understand if this brain region (or others) is affected (or not) in this model.
Although we have analyzed the effect of early life exposure to stress in males and females, we could not observe significant differences between sexes. Despite some structural differences of the hippocampus that were observed only in males, both sexes seem to be similarly affected by PS. Curiously, other studies have reported differences between sexes (Roussel et al., 2005; Weinstock, 2007; Boersma and Tamashiro, 2014) and have associated those mainly with hormonal changes (Weinstock et al., 1992; Weinstock, 2007).
In sum, we developed a new model of prenatal mild stress that presents emotional deficits that can now be used to explore in more detail how stress can imprint anatomical, molecular and functional changes in specific brain regions and lead to maladaptive behavior later in life.
Author Contributions
AJR, CS-C and NS developed the concept and designed experiments. CS-C and BC performed stress protocol. CS-C, BC and SB performed and analyzed behavior. BC and CS-C performed molecular analysis. CS-C performed statistical analysis on all data. CS-C and AJR wrote the article. All authors discussed and revised the manuscript.
Funding
BC and SB are recipients of Fundação para a Ciência e Tecnologia (FCT) fellowships (SFRH/BD/51992/2012; SFRH/BD/98675/2013; SFRH/BD/89936/2012). CS-C was recipient of a Fundação para a Ciência e Tecnologia (FCT) fellowship (SFRH/BD/51992/2012) and is currently recipient of a post-doctoral fellowship from the Programa de Atividades Conjuntas (PAC), through MEDPERSYST project (POCI-01-0145-FEDER-016428; supported by the Portugal 2020 Programme). AJR is a FCT Investigator fellow (IF/00883/2013). DS is a recipient of a FCT fellowship (PD/BDE/135567/2018). BC and SB were recipients of FCT fellowships (SFRH/BD/98675/2013 and SFRH/BD/89936/2012). This work was developed under the scope of the project NORTE-01-0145-FEDER-000013, supported by the Northern Portugal Regional Operational Programme (NORTE 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (FEDER). Part of the work was supported by a BIAL Grant (30/2016). This work has been funded by FEDER funds, through the Competitiveness Factors Operational Programme (COMPETE) and by National funds, through the Foundation for Science and Technology (FCT), under the scope of the project POCI-01-0145-FEDER-007038. This work is financed by FEDER funds, through Competitiveness Factors Operational Programme (COMPETE 2020) and the Lisbon Regional Operational Programme and by national funds through FCT—Fundação para a Ciência e a Tecnologia, in the scope of the project POCI-01-0145-FEDER-016428.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
We would like to thank Hasse Karlsson, Linnea Karlsson, Paula Mustonen and Noora Scheinin (University of Turku) for the fruitful discussions about the animal model.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnbeh.2018.00129/full#supplementary-material
FIGURE S1 | Prenatal stress (PS) animals of both genders present similar exploratory activity in the open field (OF). (A) Similar time spent in the center and periphery of the open arena between CTR and PS rats (males and females). (B) No differences in the distance traveled in the center and the periphery of the arena between groups (nPS males = 9, nCTR males = 9, nPS females = 11, nCTR females = 12). Error bars denote SEM.
FIGURE S2 | Prenatal mild stress does not alter motivation for natural rewards or impulsivity. (A) Continuous reinforcement (CRF) and (B) fixed ratio (FR) trainings of male and female PS rats in the progressive ratio (PR) test, showing no differences in learning curves when compared to same-sex CTR group. (C) Breakpoint of PS and control animals, showing that PS exposure does not alter motivation to obtain food (nPS males = 9, nCTR males = 9, nPS females = 12, nCTR females = 12). (D) The number of food pellets earned during the PR session is similar between groups. (E) In the variable delay to signal (VDS), an impulsivity test, the number of premature responses of PS and CTR groups of both males and females is similar within each delay in the VDS test, indicating that PS does not change impulsivity (nPS males = 9, nCTR males = 9, nPS females = 12, nCTR females = 12). Error bars denote SEM.
TABLE S1 | Number of pups per sex in each litter of stressed mothers (prenatal stress) and control mothers (control).
References
Agid, O., Shapira, B., Zislin, J., Ritsner, M., Hanin, B., Murad, H., et al. (1999). Environment and vulnerability to major psychiatric illness: a case control study of early parental loss in major depression, bipolar disorder and schizophrenia. Mol. Psychiatry 4, 163–172.
Alves, N. D., Correia, J. S., Patrício, P., Mateus-Pinheiro, A., Machado-Santos, A. R., Loureiro-Campos, E., et al. (2017). Adult hippocampal neuroplasticity triggers susceptibility to recurrent depression. Transl. Psychiatry 7:e1058. doi: 10.1038/tp.2017.29
Basar, K., Sesia, T., Groenewegen, H., Steinbusch, H. W., Visser-Vandewalle, V., and Temel, Y. (2010). Nucleus accumbens and impulsivity. Prog. Neurobiol. 92, 533–557. doi: 10.1016/j.pneurobio.2010.08.007
Beeler, J. A., Prendergast, B., and Zhuang, X. (2006). Low amplitude entrainment of mice and the impact of circadian phase on behavior tests. Physiol. Behav. 87, 870–880. doi: 10.1016/j.physbeh.2006.01.037
Bessa, J. M., Morais, M., Marques, F., Pinto, L., Palha, J. A., Almeida, O. F., et al. (2013). Stress-induced anhedonia is associated with hypertrophy of medium spiny neurons of the nucleus accumbens. Transl. Psychiatry 3:e266. doi: 10.1038/tp.2013.39
Boersma, G. J., and Tamashiro, K. L. (2014). Individual differences in the effects of prenatal stress exposure in rodents. Neurobiol. Stress 1, 100–108. doi: 10.1016/j.ynstr.2014.10.006
Borges, S., Coimbra, B., Soares-Cunha, C., Miguel Pêgo, J., Sousa, N., and João Rodrigues, A. (2013a). Dopaminergic modulation of affective and social deficits induced by prenatal glucocorticoid exposure. Neuropsychopharmacology 38, 2068–2079. doi: 10.1038/npp.2013.108
Borges, S., Coimbra, B., Soares-Cunha, C., Ventura-Silva, A. P., Pinto, L., Carvalho, M. M., et al. (2013b). Glucocorticoid programing of the mesopontine cholinergic system. Front. Endocrinol. 4:190. doi: 10.3389/fendo.2013.00190
Bourke, C. H., Capello, C. F., Rogers, S. M., Yu, M. L., Boss-Williams, K. A., Weiss, J. M., et al. (2013). Prenatal exposure to escitalopram and/or stress in rats: a prenatal stress model of maternal depression and its treatment. Psychopharmacology 228, 231–241. doi: 10.1007/s00213-013-3030-z
Bremner, J. D., Narayan, M., Anderson, E. R., Staib, L. H., Miller, H. L., and Charney, D. S. (2000). Hippocampal volume reduction in major depression. Am. J. Psychiatry 157, 115–118. doi: 10.1176/ajp.157.1.115
Brouwers, E. P. M., van Baar, A. L., and Pop, V. J. M. (2001). Maternal anxiety during pregnancy and subsequent infant development. Infant Behav. Dev. 24, 95–106. doi: 10.1016/s0163-6383(01)00062-5
Brown, G. W., and Moran, P. (1994). Clinical and psychosocial origins of chronic depressive episodes. I: A community survey. Br. J. Psychiatry 165, 447–456. doi: 10.1192/bjp.165.4.447
Brownfoot, F. C., Gagliardi, D. I., Bain, E., Middleton, P., and Crowther, C. A. (2013). Different corticosteroids and regimens for accelerating fetal lung maturation for women at risk of preterm birth. Cochrane Database Syst. Rev. 8:CD006764. doi: 10.1002/14651858.cd006764
Cardinal, R. N., Pennicott, D. R., Sugathapala, C. L., Robbins, T. W., and Everitt, B. J. (2001). Impulsive choice induced in rats by lesions of the nucleus accumbens core. Science 292, 2499–2501. doi: 10.1126/science.1060818
Chapman, D. P., Whitfield, C. L., Felitti, V. J., Dube, S. R., Edwards, V. J., and Anda, R. F. (2004). Adverse childhood experiences and the risk of depressive disorders in adulthood. J. Affect. Disord. 82, 217–225. doi: 10.1016/j.jad.2003.12.013
Charil, A., Laplante, D. P., Vaillancourt, C., and King, S. (2010). Prenatal stress and brain development. Brain Res. Rev. 65, 56–79. doi: 10.1016/j.brainresrev.2010.06.002
Davis, M., Walker, D. L., Miles, L., and Grillon, C. (2010). Phasic vs. sustained fear in rats and humans: role of the extended amygdala in fear vs. anxiety. Neuropsychopharmacol. 35, 105–135. doi: 10.1038/npp.2009.109
de Kloet, E. R., Joëls, M., and Holsboer, F. (2005). Stress and the brain: from adaptation to disease. Nat. Rev. Neurosci. 6, 463–475. doi: 10.1038/nrn1683
Drevets, W. C., Videen, T. O., Price, J. L., Preskorn, S. H., Carmichael, S. T., and Raichle, M. E. (1992). A functional anatomical study of unipolar depression. J. Neurosci. 12, 3628–3641. doi: 10.1523/jneurosci.12-09-03628.1992
Dube, S. R., Felitti, V. J., Dong, M., Chapman, D. P., Giles, W. H., and Anda, R. F. (2003). Childhood abuse, neglect and household dysfunction and the risk of illicit drug use: the adverse childhood experiences study. Pediatrics 111, 564–572. doi: 10.1542/peds.111.3.564
Edwards, V. J., Holden, G. W., Felitti, V. J., and Anda, R. F. (2003). Relationship between multiple forms of childhood maltreatment and adult mental health in community respondents: results from the adverse childhood experiences study. Am. J. Psychiatry 160, 1453–1460. doi: 10.1176/appi.ajp.160.8.1453
Espejo, E. P., Hammen, C. L., Connolly, N. P., Brennan, P. A., Najman, J. M., and Bor, W. (2007). Stress sensitization and adolescent depressive severity as a function of childhood adversity: a Link to anxiety disorders. J. Abnorm. Child Psychol. 35, 287–299. doi: 10.1007/s10802-006-9090-3
Estanislau, C., and Morato, S. (2005). Prenatal stress produces more behavioral alterations than maternal separation in the elevated plus-maze and in the elevated T-maze. Behav. Brain Res. 163, 70–77. doi: 10.1016/j.bbr.2005.04.003
Francis, T. C., Chandra, R., Friend, D. M., Finkel, E., Dayrit, G., Miranda, J., et al. (2015). Nucleus accumbens medium spiny neuron subtypes mediate depression-related outcomes to social defeat stress. Biol. Psychiatry 77, 212–222. doi: 10.1016/j.biopsych.2014.07.021
Fujioka, T., Fujioka, A., Tan, N., Chowdhury, G. M., Mouri, H., Sakata, Y., et al. (2001). Mild prenatal stress enhances learning performance in the non-adopted rat offspring. Neuroscience 103, 301–307. doi: 10.1016/s0306-4522(00)00582-0
Fujita, S., Ueki, S., Miyoshi, M., and Watanabe, T. (2010). “Green odor” inhalation by stressed rat dams reduces behavioral and neuroendocrine signs of prenatal stress in the offspring. Horm. Behav. 58, 264–272. doi: 10.1016/j.yhbeh.2010.03.007
Głombik, K., Stachowicz, A., Ślusarczyk, J., Trojan, E., Budziszewska, B., Suski, M., et al. (2015). Maternal stress predicts altered biogenesis and the profile of mitochondrial proteins in the frontal cortex and hippocampus of adult offspring rats. Psychoneuroendocrinology 60, 151–162. doi: 10.1016/j.psyneuen.2015.06.015
Gundersen, H. J., and Jensen, E. B. (1987). The efficiency of systematic sampling in stereology and its prediction. J. Microsc. 147, 229–263. doi: 10.1111/j.1365-2818.1987.tb02837.x
Gundersen, H. J., Jensen, E. B., Kiêu, K., and Nielsen, J. (1999). The efficiency of systematic sampling in stereology–reconsidered. J. Microsc. 193, 199–211. doi: 10.1046/j.1365-2818.1999.00457.x
Gutman, D. A., and Nemeroff, C. B. (2003). Persistent central nervous system effects of an adverse early environment: clinical and preclinical studies. Physiol. Behav. 79, 471–478. doi: 10.1016/s0031-9384(03)00166-5
Gutteling, B. M., de Weerth, C., Zandbelt, N., Mulder, E. J. H., Visser, G. H. A., and Buitelaar, J. K. (2006). Does maternal prenatal stress adversely affect the child’s learning and memory at age six? J. Abnorm. Child Psychol. 34, 789–798. doi: 10.1007/s10802-006-9054-7
Haim, A., Sherer, M., and Leuner, B. (2014). Gestational stress induces persistent depressive-like behavior and structural modifications within the postpartum nucleus accumbens. Eur. J. Neurosci. 40, 3766–3773. doi: 10.1111/ejn.12752
Hannestad, J., Taylor, W. D., McQuoid, D. R., Payne, M. E., Krishnan, K. R. R., Steffens, D. C., et al. (2006). White matter lesion volumes and caudate volumes in late-life depression. Int. J. Geriatr. Psychiatry 21, 1193–1198. doi: 10.1002/gps.1640
Heim, C., and Nemeroff, C. B. (2001). The role of childhood trauma in the neurobiology of mood and anxiety disorders: preclinical and clinical studies. Biol. Psychiatry 49, 1023–1039. doi: 10.1016/s0006-3223(01)01157-x
Heim, C., Newport, D. J., Mletzko, T., Miller, A. H., and Nemeroff, C. B. (2008). The link between childhood trauma and depression: ionsights from HPA axis studies in humans. Psychoneuroendocrinology 33, 693–710. doi: 10.1016/j.psyneuen.2008.03.008
Herman, J. P., McKlveen, J. M., Ghosal, S., Kopp, B., Wulsin, A., Makinson, R., et al. (2016). Regulation of the hypothalamic-pituitary-adrenocortical stress response. Compr. Physiol. 6, 603–621. doi: 10.1002/cphy.c150015
Hickie, I. B., Naismith, S. L., Ward, P. B., Scott, E. M., Mitchell, P. B., Schofield, P. R., et al. (2007). Serotonin transporter gene status predicts caudate nucleus but not amygdala or hippocampal volumes in older persons with major depression. J. Affect. Disord. 98, 137–142. doi: 10.1016/j.jad.2006.07.010
Hossain, S. M., Wong, B. K. Y., and Simpson, E. M. (2004). The dark phase improves genetic discrimination for some high throughput mouse behavioral phenotyping. Genes Brain Behav. 3, 167–177. doi: 10.1111/j.1601-183x.2004.00069.x
Hougaard, K. S., Andersen, M. B., Hansen, A. M., Hass, U., Werge, T., and Lund, S. P. (2005). Effects of prenatal exposure to chronic mild stress and toluene in rats. Neurotoxicol. Teratol. 27, 153–167. doi: 10.1016/j.ntt.2004.08.001
Jafari, Z., Mehla, J., Kolb, B. E., and Mohajerani, M. H. (2017). Prenatal noise stress impairs HPA axis and cognitive performance in mice. Sci. Rep. 7:10560. doi: 10.1038/s41598-017-09799-6
Jia, N., Yang, K., Sun, Q., Cai, Q., Li, H., Cheng, D., et al. (2010). Prenatal stress causes dendritic atrophy of pyramidal neurons in hippocampal CA3 region by glutamate in offspring rats. Dev. Neurobiol. 70, 114–125. doi: 10.1002/dneu.20766
Keuker, J. I., Vollmann-Honsdorf, G. K., and Fuchs, E. (2001). How to use the optical fractionator: an example based on the estimation of neurons in the hippocampal CA1 and CA3 regions of tree shrews. Brain Res. Protoc. 7, 211–221. doi: 10.1016/s1385-299x(01)00064-2
Koehl, M., Darnaudéry, M., Dulluc, J., Van Reeth, O., Le Moal, M., and Maccari, S. (1999). Prenatal stress alters circadian activity of hypothalamo-pituitary-adrenal axis and hippocampal corticosteroid receptors in adult rats of both gender. J. Neurobiol. 40, 302–315. doi: 10.1002/(sici)1097-4695(19990905)40:3<302::aid-neu3>3.3.co;2-z
Kofman, O. (2002). The role of prenatal stress in the etiology of developmental behavioural disorders. Neurosci. Biobehav. Rev. 26, 457–470. doi: 10.1016/s0149-7634(02)00015-5
Laloux, C., Mairesse, J., Van Camp, G., Giovine, A., Branchi, I., Bouret, S., et al. (2012). Anxiety-like behaviour and associated neurochemical and endocrinological alterations in male pups exposed to prenatal stress. Psychoneuroendocrinology 37, 1646–1658. doi: 10.1016/j.psyneuen.2012.02.010
Leite-Almeida, H., Melo, A., Pêgo, J. M., Bernardo, S., Milhazes, N., Borges, F., et al. (2013). Variable delay-to-signal: a fast paradigm for assessment of aspects of impulsivity in rats. Front. Behav. Neurosci. 7:154. doi: 10.3389/fnbeh.2013.00154
Levine, S. (1967). Maternal and environmental influences on the adrenocortical response to stress in weanling rats. Science 156, 258–260. doi: 10.1126/science.156.3772.258
Ling, E. A., Paterson, J. A., Privat, A., Mori, S., and Leblond, C. P. (1973). Investigation of glial cells in semithin sections. I. Identification of glial cells in the brain of young rats. J. Comp. Neurol. 149, 43–71. doi: 10.1002/cne.901490104
Liu, F., Day, M., Muñiz, L. C., Bitran, D., Arias, R., Revilla-Sanchez, R., et al. (2008). Activation of estrogen receptor-beta regulates hippocampal synaptic plasticity and improves memory. Nat. Neurosci. 11, 334–343. doi: 10.1038/nn2057
Lui, C. C., Wang, J.-Y., Tain, Y.-L., Chen, Y.-C., Chang, K.-A., Lai, M.-C., et al. (2011). Prenatal stress in rat causes long-term spatial memory deficit and hippocampus MRI abnormality: differential effects of postweaning enriched environment. Neurochem. Int. 58, 434–441. doi: 10.1016/j.neuint.2011.01.002
Lupien, S. J., McEwen, B. S., Gunnar, M. R., and Heim, C. (2009). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat. Rev. Neurosci. 10, 434–445. doi: 10.1038/nrn2639
Mabandla, M. V., Dobson, B., Johnson, S., Kellaway, L. A., Daniels, W. M. U., and Russell, V. A. (2008). Development of a mild prenatal stress rat model to study long term effects on neural function and survival. Metab. Brain Dis. 23, 31–42. doi: 10.1007/s11011-007-9049-2
Madeira, M. D., Pereira, A., Cadete-Leite, A., and Paula-Barbosa, M. M. (1990). Estimates of volumes and pyramidal cell numbers in the prelimbic subarea of the prefrontal cortex in experimental hypothyroid rats. J. Anat. 171, 41–56.
Mahar, I., Bambico, F. R., Mechawar, N., and Nobrega, J. N. (2014). Stress, serotonin and hippocampal neurogenesis in relation to depression and antidepressant effects. Neurosci. Biobehav. Rev. 38, 173–192. doi: 10.1016/j.neubiorev.2013.11.009
Malaspina, D., Corcoran, C., Kleinhaus, K. R., Perrin, M. C., Fennig, S., Nahon, D., et al. (2008). Acute maternal stress in pregnancy and schizophrenia in offspring: A cohort prospective study. BMC Psychiatry 8:71. doi: 10.1186/1471-244X-8-71
Markham, J. A., Taylor, A. R., Taylor, S. B., Bell, D. B., and Koenig, J. I. (2010). Characterization of the cognitive impairments induced by prenatal exposure to stress in the rat. Front. Behav. Neurosci. 4:173. doi: 10.3389/fnbeh.2010.00173
Martínez-Téllez, R. I., Hernández-Torres, E., Gamboa, C., and Flores, G. (2009). Prenatal stress alters spine density and dendritic length of nucleus accumbens and hippocampus neurons in rat offspring. Synap. 63, 794–804. doi: 10.1002/syn.20664
McCauley, J., Kern, D. E., Kolodner, K., Dill, L., Schroeder, A. F., DeChant, H. K., et al. (1997). Clinical characteristics of women with a history of childhood abuse: unhealed wounds. JAMA 277, 1362–1368. doi: 10.1001/jama.1997.03540410040028
McCormick, C. M., Smythe, J. W., Sharma, S., and Meaney, M. J. (1995). Sex-specific effects of prenatal stress on hypothalamic-pituitary-adrenal responses to stress and brain glucocorticoid receptor density in adult rats. Dev. Brain Res. 84, 55–61. doi: 10.1016/0165-3806(94)00153-Q
McFarland, K., Lapish, C. C., and Kalivas, P. W. (2003). Prefrontal glutamate release into the core of the nucleus accumbens mediates cocaine-induced reinstatement of drug-seeking behavior. J. Neurosci. 23, 3531–3537. doi: 10.1523/jneurosci.23-08-03531.2003
McGowan, P. O., Sasaki, A., D’Alessio, A. C., Dymov, S., Labonté, B., Szyf, M., et al. (2009). Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse. Nat. Neurosci. 12, 342–348. doi: 10.1038/nn.2270
McKinnon, M. C., Yucel, K., Nazarov, A., and MacQueen, G. M. (2009). A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder. J. Psychiatry Neurosci. 34, 41–54.
Meaney, M. J., Szyf, M., and Seckl, J. R. (2007). Epigenetic mechanisms of perinatal programming of hypothalamic-pituitary-adrenal function and health. Trends Mol. Med. 13, 269–277. doi: 10.1016/j.molmed.2007.05.003
Moisiadis, V. G., and Matthews, S. G. (2014a). Glucocorticoids and fetal programming part 1: Outcomes. Nat. Rev. Endocrinol. 10, 391–402. doi: 10.1038/nrendo.2014.73
Moisiadis, V. G., and Matthews, S. G. (2014b). Glucocorticoids and fetal programming part 2: Mechanisms. Nat. Rev. Endocrinol. 10, 403–411. doi: 10.1038/nrendo.2014.74
Morais, M., Patrício, P., Mateus-Pinheiro, A., Alves, N. D., Machado-Santos, A. R., Correia, J. S., et al. (2017). The modulation of adult neuroplasticity is involved in the mood-improving actions of atypical antipsychotics in an animal model of depression. Transl. Psychiatry 7:e1146. doi: 10.1038/tp.2017.120
Morales-Medina, J. C., Sanchez, F., Flores, G., Dumont, Y., and Quirion, R. (2009). Morphological reorganization after repeated corticosterone administration in the hippocampus, nucleus accumbens and amygdala in the rat. J. Chem. Neuroanat. 38, 266–272. doi: 10.1016/j.jchemneu.2009.05.009
Murmu, M. S., Salomon, S., Biala, Y., Weinstock, M., Braun, K., and Bock, J. (2006). Changes of spine density and dendritic complexity in the prefrontal cortex in offspring of mothers exposed to stress during pregnancy. Eur. J. Neurosci. 24, 1477–1487. doi: 10.1111/j.1460-9568.2006.05024.x
Oliveira, M., Bessa, J. M., Mesquita, A., Tavares, H., Carvalho, A., Silva, R., et al. (2006). Induction of a hyperanxious state by antenatal dexamethasone: a case for less detrimental natural corticosteroids. Biol. Psychiatry 59, 844–852. doi: 10.1016/j.biopsych.2005.08.020
Oliveira, M., Rodrigues, A.-J., Leão, P., Cardona, D., Pêgo, J. M., and Sousa, N. (2012). The bed nucleus of stria terminalis and the amygdala as targets of antenatal glucocorticoids: implications for fear and anxiety responses. Psychopharmacology 220, 443–453. doi: 10.1007/s00213-011-2494-y
Palacios-García, I., Lara-Vásquez, A., Montiel, J. F., Díaz-Véliz, G. F., Sepúlveda, H., Utreras, E., et al. (2015). Prenatal stress down-regulates reelin expression by methylation of its promoter and induces adult behavioral impairments in rats. PLoS One 10:e0117680. doi: 10.1371/journal.pone.0117680
Paxinos, G., and Watson, C. (2005). The Rat Brain in Stereotaxic Coordinates. San Diego, CA: Elsevier Academic Press.
Peinado, M. A., Quesada, A., Pedrosa, J. A., Martinez, M., Esteban, F. J., Del Moral, M. L., et al. (1997). Light microscopic quantification of morphological changes during aging in neurons and glia of the rat parietal cortex. Anat. Rec. 247, 420–425. doi: 10.1002/(sici)1097-0185(199703)247:3<420::aid-ar14>3.3.co;2-o
Piazza, P. V., and Le Moal, M. L. (1996). Pathophysiological basis of vulnerability to drug abuse: role of an interaction between stress, glucocorticoids and dopaminergic neurons. Annu. Rev. Pharmacol. Toxicol. 36, 359–378. doi: 10.1146/annurev.pa.36.040196.002043
Roberts, D., and Dalziel, S. (2006). Antenatal corticosteroids for accelerating fetal lung maturation for women at risk of preterm birth. Cochrane Database Syst. Rev. 3:CD004454. doi: 10.1002/14651858.CD004454.pub2
Rodrigues, A. J., Leão, P., Pêgo, J. M., Cardona, D., Carvalho, M. M., Oliveira, M., et al. (2012). Mechanisms of initiation and reversal of drug-seeking behavior induced by prenatal exposure to glucocorticoids. Mol. Psychiatry 17, 1295–1305. doi: 10.1038/mp.2011.126
Roque, S., Oliveira, T. G., Nobrega, C., Barreira-Silva, P., Nunes-Alves, C., Sousa, N., et al. (2011). Interplay between depressive-like behavior and the immune system in an animal model of prenatal dexamethasone administration. Front. Behav. Neurosci. 5:4. doi: 10.3389/fnbeh.2011.00004
Roussel, S., Boissy, A., Montigny, D., Hemsworth, P. H., and Duvaux-Ponter, C. (2005). Gender-specific effects of prenatal stress on emotional reactivity and stress physiology of goat kids. Horm. Behav. 47, 256–266. doi: 10.1016/j.yhbeh.2004.09.010
Russo, S. J., and Nestler, E. J. (2013). The brain reward circuitry in mood disorders. Nat. Rev. Neurosci. 14, 609–625. doi: 10.1038/nrn3381
Sheline, Y. I., Wang, P. W., Gado, M. H., Csernansky, J. G., and Vannier, M. W. (1996). Hippocampal atrophy in recurrent major depression. Proc. Natl. Acad. Sci. U S A 93, 3908–3913. doi: 10.1073/pnas.93.9.3908
Sinha, R. (2001). How does stress increase risk of drug abuse and relapse? Psychopharmacology 158, 343–359. doi: 10.1007/s002130100917
Soares-Cunha, C., Coimbra, B., Borges, S., Carvalho, M. M., Rodrigues, A. J., and Sousa, N. (2014). The motivational drive to natural rewards is modulated by prenatal glucocorticoid exposure. Transl. Psychiatry 4:e397. doi: 10.1038/tp.2014.45
Soares-Cunha, C., Coimbra, B., David-Pereira, A., Borges, S., Pinto, L., Costa, P., et al. (2016). Activation of D2 dopamine receptor-expressing neurons in the nucleus accumbens increases motivation. Nat. Commun. 7:11829. doi: 10.1038/ncomms11829
Szuran, T. F., Pliska, V., Pokorny, J., and Welzl, H. (2000). Prenatal stress in rats: effects on plasma corticosterone, hippocampal glucocorticoid receptors and maze performance. Physiol. Behav. 71, 353–362. doi: 10.1016/s0031-9384(00)00351-6
Tarullo, A. R., and Gunnar, M. R. (2006). Child maltreatment and the developing HPA axis. Horm. Behav. 50, 632–639. doi: 10.1016/j.yhbeh.2006.06.010
Teicher, M. H., Andersen, S. L., Polcari, A., Anderson, C. M., Navalta, C. P., and Kim, D. M. (2003). The neurobiological consequences of early stress and childhood maltreatment. Neurosci. Biobehav. Rev. 27, 33–44. doi: 10.1016/S0149-7634(03)00007-1
Uno, H., Lohmiller, L., Thieme, C., Kemnitz, J. W., Engle, M. J., Roecker, E. B., et al. (1990). Brain damage induced by prenatal exposure to dexamethasone in fetal rhesus macaques. I. Hippocampus. Dev. Brain Res. 53, 157–167. doi: 10.1016/0165-3806(90)90002-g
Van den Bergh, B. R. H., and Marcoen, A. (2004). High antenatal maternal anxiety is related to ADHD symptoms, externalizing problems and anxiety in 8- and 9-year-olds. Child Dev. 75, 1085–1097. doi: 10.1111/j.1467-8624.2004.00727.x
Van den Bergh, B. R. H., Van Calster, B., Smits, T., Van Huffel, S., and Lagae, L. (2008). Antenatal maternal anxiety is related to HPA-axis dysregulation and self-reported depressive symptoms in adolescence: a prospective study on the fetal origins of depressed mood. Neuropsychopharmacol 33, 536–545. doi: 10.1038/sj.npp.1301450
Van den Hove, D. L. A., Kenis, G., Brass, A., Opstelten, R., Rutten, B. P. F., Bruschettini, M., et al. (2013). Vulnerability versus resilience to prenatal stress in male and female rats; implications from gene expression profiles in the hippocampus and frontal cortex. Eur. Neuropsychopharmacol 23, 1226–1246. doi: 10.1016/j.euroneuro.2012.09.011
Van Lieshout, R. J., and Boylan, K. (2010). Increased depressive symptoms in female but not male adolescents born at low birth weight in the offspring of a national cohort. Can. J. Psychiatry 55, 422–430. doi: 10.1177/070674371005500705
Varghese, F. P., and Brown, E. S. (2001). The hypothalamic-pituitary-adrenal axis in major depressive disorder: a brief primer for primary care physicians. Prim. Care Companion J. Clin. Psychiatry 3, 151–155. doi: 10.4088/pcc.v03n0401
Verma, R., Balhara, Y. P. S., and Gupta, C. S. (2011). Gender differences in stress response: Role of developmental and biological determinants. Ind. Psychiatry J. 20, 4–10. doi: 10.4103/0972-6748.98407
Videbech, P., and Ravnkilde, B. (2004). Hippocampal volume and depression: a meta-analysis of MRI studies. Am. J. Psychiatry 161, 1957–1966. doi: 10.1176/appi.ajp.161.11.1957
Virgolini, M. B., Rossi-George, A., Weston, D., and Cory-Slechta, D. A. (2008). Influence of low level maternal Pb exposure and prenatal stress on offspring stress challenge responsivity. Neurotoxicology 29, 928–939. doi: 10.1016/j.neuro.2008.09.010
von Gunten, A., Fox, N. C., Cipolotti, L., and Ron, M. A. (2000). A volumetric study of hippocampus and amygdala in depressed patients with subjective memory problems. J. Neuropsychiatry Clin. Neurosci. 12, 493–498. doi: 10.1176/jnp.12.4.493
Waddell, J., Morris, R. W., and Bouton, M. E. (2006). Effects of bed nucleus of the stria terminalis lesions on conditioned anxiety: aversive conditioning with long-duration conditional stimuli and reinstatement of extinguished fear. Behav. Neurosci. 120, 324–336. doi: 10.1037/0735-7044.120.2.324
Walker, D. L., Toufexis, D. J., and Davis, M. (2003). Role of the bed nucleus of the stria terminalis versus the amygdala in fear, stress and anxiety. Eur. J. Pharmacol. 463, 199–216. doi: 10.1016/s0014-2999(03)01282-2
Wanat, M. J., Kuhnen, C. M., and Phillips, P. E. M. (2010). Delays conferred by escalating costs modulate dopamine release to rewards but not their predictors. J. Neurosci. 30, 12020–12027. doi: 10.1523/jneurosci.2691-10.2010
Wang, Y., Ma, Y., Cheng, W., Jiang, H., Zhang, X., Li, M., et al. (2015a). Sexual differences in long-term effects of prenatal chronic mild stress on anxiety-like behavior and stress-induced regional glutamate receptor expression in rat offspring. Int. J. Dev. Neurosci. 41, 80–91. doi: 10.1016/j.ijdevneu.2015.01.003
Wang, Y., Ma, Y., Hu, J., Cheng, W., Jiang, H., Zhang, X., et al. (2015b). Prenatal chronic mild stress induces depression-like behavior and sex-specific changes in regional glutamate receptor expression patterns in adult rats. Neuroscience 301, 363–374. doi: 10.1016/j.neuroscience.2015.06.008
Ward, A. J. (1991). Prenatal stress and childhood psychopathology. Child Psychiatry Hum. Dev. 22, 97–110. doi: 10.1007/bf00707788
Wardenaar, K. J., Vreeburg, S. A., van Veen, T., Giltay, E. J., Veen, G., Penninx, B. W. J. H., et al. (2011). Dimensions of depression and anxiety and the hypothalamo-pituitary-adrenal axis. Biol. Psychiatry 69, 366–373. doi: 10.1016/j.biopsych.2010.09.005
Weaver, I. C. G., Cervoni, N., Champagne, F. A., D’Alessio, A. C., Sharma, S., Seckl, J. R., et al. (2004). Epigenetic programming by maternal behavior. Nat. Neurosci. 7, 847–854. doi: 10.1038/nn1276
Weinstock, M. (2001). Alterations induced by gestational stress in brain morphology and behaviour of the offspring. Prog. Neurobiol. 65, 427–451. doi: 10.1016/s0301-0082(01)00018-1
Weinstock, M. (2005). The potential influence of maternal stress hormones on development and mental health of the offspring. Brain Behav. Immun. 19, 296–308. doi: 10.1016/j.bbi.2004.09.006
Weinstock, M. (2007). Gender differences in the effects of prenatal stress on brain development and behaviour. Neurochem. Res. 32, 1730–1740. doi: 10.1007/s11064-007-9339-4
Weinstock, M. (2008). The long-term behavioural consequences of prenatal stress. Neurosci. Biobehav. Rev. 32, 1073–1086. doi: 10.1016/j.neubiorev.2008.03.002
Weinstock, M. (2011). Sex-dependent changes induced by prenatal stress in cortical and hippocampal morphology and behaviour in rats: an update. Stress 14, 604–613. doi: 10.3109/10253890.2011.588294
Weinstock, M. (2016). Prenatal stressors in rodents: Effects on behavior. Neurobiol. Stress 6, 3–13. doi: 10.1016/j.ynstr.2016.08.004
Weinstock, M., Matlina, E., Maor, G. I., Rosen, H., and McEwen, B. S. (1992). Prenatal stress selectively alters the reactivity of the hypothalamic-pituitary adrenal system in the female rat. Brain Res. 595, 195–200. doi: 10.1016/0006-8993(92)91049-k
West, M. J., Slomianka, L., and Gundersen, H. J. (1991). Unbiased stereological estimation of the total number of neurons in the subdivisions of the rat hippocampus using the optical fractionator. Anat. Rec. 231, 482–497. doi: 10.1002/ar.1092310411
Weston, H. I., Weston, D. D., Allen, J. L., and Cory-Slechta, D. A. (2014). Sex-dependent impacts of low-level lead exposure and prenatal stress on impulsive choice behavior and associated biochemical and neurochemical manifestations. Neurotoxicology 44, 169–183. doi: 10.1016/j.neuro.2014.06.013
Wilson, C. A., Vazdarjanova, A., and Terry, A. V. (2013). Exposure to variable prenatal stress in rats: effects on anxiety-related behaviors, innate and contextual fear and fear extinction. Behav. Brain Res. 238, 279–288. doi: 10.1016/j.bbr.2012.10.003
Yang, J., Han, H., Cao, J., Li, L., and Xu, L. (2006). Prenatal stress modifies hippocampal synaptic plasticity and spatial learning in young rat offspring. Hippocampus 16, 431–436. doi: 10.1002/hipo.20181
Keywords: prenatal stress, anxiety, depression, BNST, hippocampus
Citation: Soares-Cunha C, Coimbra B, Borges S, Domingues AV, Silva D, Sousa N and Rodrigues AJ (2018) Mild Prenatal Stress Causes Emotional and Brain Structural Modifications in Rats of Both Sexes. Front. Behav. Neurosci. 12:129. doi: 10.3389/fnbeh.2018.00129
Received: 14 March 2018; Accepted: 07 June 2018;
Published: 02 July 2018.
Edited by:
Xiao-Dong Wang, Zhejiang University, ChinaReviewed by:
Giovanni Laviola, Istituto Superiore di Sanità, ItalyLauren Evelyn Chaby, University of Michigan, United States
Copyright © 2018 Soares-Cunha, Coimbra, Borges, Domingues, Silva, Sousa and Rodrigues. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ana João Rodrigues, ajrodrigues@med.uminho.pt