ORIGINAL RESEARCH article

Front. Mol. Neurosci., 08 July 2026

Sec. Brain Disease Mechanisms

Volume 19 - 2026 | https://doi.org/10.3389/fnmol.2026.1844602

Prenatal and neonatal housing conditions affect anxiety-like behavior in adulthood in rats and interact with brain-derived neurotrophic factor (BDNF) Val66Met to alter expression of BDNF and stress markers in the ventral hippocampus

  • 1. School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia

  • 2. Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy

  • 3. Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy

Abstract

Introduction:

We investigated the interaction of the brain-derived neurotrophic factor (BDNF) gene variant, Val66Met, with the effect of prenatal/neonatal environmental conditions on anxiety-like behavior in adulthood in rats.

Methods:

In a genetic Val66Met rat model, we compared the effects of a high-enrichment/high-complexity early-life environment (HE) and a low-enrichment/low-complexity environment (LE). Body weight was higher in both male and female HE rats compared to LE rats. Anxiety-like behavior on a plus maze or in an open field was enhanced in both male and female HE rats compared to LE rats. In contrast, following HE, only in females, adrenal weight was higher, and in the forced swim test, immobility was lower, and swimming was higher.

Results:

Body weight and behavioral changes did not differ between BDNF genotypes. Fear conditioning and extinction were not affected. The effect of HE vs. LE condition on expression of BDNF, the antioxidant transcription factor, NRF2, and the glucocorticoid receptor, NR3C1, in the ventral hippocampus varied depending on genotype, and most of these changes were again only seen in females. There were no effects on the expression of the stress markers, SGK1 and FKBP5, or the mineralocorticoid receptor, NR3C2.

Discussion:

These results show persistent effects of early-life environment on anxiety-like behavior and gene expression of BDNF and stress markers in adulthood, with some effects showing sex- and Val66Met genotype specificity. These results may be important for our understanding of factors involved in the development of clinical anxiety and depression, and also have implications for animal welfare in the laboratory setting.

Introduction

Anxiety disorders represent a broad group of mental illnesses manifesting in symptoms of worry, panic, and excessive fear (American Psychiatric Association, 2013). Prevalence of these disorders has been increasing in recent decades, with some estimates suggesting 5–10% of the global population is affected (Baxter et al., 2013; Javaid et al., 2023). Numerous causative factors have been implicated in anxiety disorders, including genetics, negative life events or early life stress, low socioeconomic status (SES), level of education, and substance use (Michael et al., 2007). Gender differences have been described, with a greater risk in women than in men (Altemus et al., 2014; Gater et al., 1998).

Early life stress or negative events during childhood, such as neglect, abuse, or maltreatment, have been suggested to significantly increase the risk of later development of anxiety disorders (Jonker et al., 2017; Smith and Pollak, 2020; Syed and Nemeroff, 2017). Animal models have been used to investigate the underlying mechanisms, using models of prenatal, neonatal, or adolescent stress (Buss et al., 2012; Creutzberg et al., 2021; Gobinath et al., 2014; Millstein and Holmes, 2007; Nishi, 2020; Weinstock, 2017). For example, rats that were allocated to a stressful early-life living environment where they received minimal nesting materials (Walker et al., 2017), showed higher anxiety-like behaviors in adulthood when compared to controls (Dalle Molle et al., 2012). The same study investigated this relationship in humans by utilizing questionnaires to assess anxiety and perception of parental warmth during childhood years. The results indicated that participants who experienced less parental warmth during childhood had an increased likelihood of having an anxiety disorder in adulthood (Dalle Molle et al., 2012). Conversely, many studies utilize environmental enrichment (EE), that is, psychosocial stimulation and engagement with the environment throughout early-life critical periods, which was suggested to be a protective factor against the development of anxiety-like disorders in adulthood (Dominguez-Oliva et al., 2025; Huttenrauch et al., 2016).

Genetic factors contribute a considerable amount to the risk and progression of anxiety disorders (Smoller et al., 2008). Brain-derived neurotrophic factor (BDNF) is found in large concentrations in the basal forebrain, cortex, and hippocampus (Bathina and Das, 2015; Notaras and van den Buuse, 2019). BDNF plays an important role in neuronal plasticity, survival, and growth, as well as learning, memory, and executive function (Binder and Scharfman, 2004; Corrone et al., 2026; Notaras and van den Buuse, 2020). The BDNF Val66Met polymorphism has been associated with an increased risk of developing anxiety disorders (Antolasic et al., 2024; Frustaci et al., 2008; Montag et al., 2010; Notaras et al., 2015), although results remain controversial (Notaras and van den Buuse, 2020). The Val66Met variant causes a reduction of activity-dependent release of neuronal BDNF, with an estimated 18% deficit in the heterozygous Val/Met genotype and a 29% deficiency in the Met/Met genotype in comparison to Val/Val (Chen et al., 2006). A mouse model of BDNF Val66Met showed increased anxiety-like behavior (Chen et al., 2006; Yu et al., 2012). However, more recently, a rat model of the Val66Met variant, Val68Met rats, showed no changes in anxiety-like behavior, although fear memory was reduced (Jaehne et al., 2022). These results suggest that any effect of Val66Met on anxiety-like behavior may depend on other factors, for example, environmental stress during development.

To investigate the long-term interaction of environmental stress and early-life environmental conditions with BDNF Val66Met, including brain molecular mechanisms involved, in the present study, we used a rat model of the Val66Met BDNF gene variant, Val68Met rats (Jaehne et al., 2022), and allocated them to either one of two early-life housing conditions. Consistent with suggestions to avoid the term “enrichment” (Ratuski and Weary, 2022), we defined these as either a low-stimulation/low-complexity environment (LE) with minimal cage space and nesting material, or a high-stimulation/high-complexity environment (HE) (Corrone et al., 2026). The latter condition included a larger cage and a frequently changed environment in the form of added toys, ladders, and other stimuli. These housing conditions were maintained during pregnancy (i.e., prenatal) and early postnatal development until weaning, after which the rats were kept under standard housing conditions. In adulthood, the animals were tested in a battery of behavioral tests (Jaehne et al., 2024) aimed at assessing anxiety and depression-like behaviors. We also investigated the expression of BDNF and a number of stress-related genes in the ventral hippocampus, which is involved in anxiety-like behavior (Adams et al., 2008; Bannerman et al., 2004; van der Veldt et al., 2025).

In line with previous research, it was predicted that high levels of environmental complexity would result in lower levels of anxiety-like behavior, while rats raised in a low complexity environment would demonstrate higher anxiety-like behaviors in adulthood, as this environment was predicted to be the more stressful condition. Additionally, it was expected that Met carriers would exhibit the greatest increase in anxiety-like behaviors and changes in expression of relevant stress markers due to their deficit in activity-dependent BDNF release.

Methods

All experimental procedures were carried out in accordance with the National Health and Medical Research Council of Australia animal ethics guidelines and were approved by the La Trobe University Animal Experimentation Ethics Committee (Application AEC20006).

Val68Met rats and housing conditions

Male (n = 20) and female (n = 33) Val68Met breeder rats with the heterozygous Val/Met genotype were imported from a breeding colony at the Australian Research Centre (Perth, Western Australia) to the La Trobe Animal Research and Teaching Facility (LARTF), and allowed to acclimate to the facility for at least 2 weeks. The founder breeders for this colony were generously provided by Drs. Caryl Sortwell and Timothy Collier from Michigan State University, MI, United States (Mercado et al., 2021).

Immediately following mating, female breeders were randomly housed in either a HE or LE environment (Corrone et al., 2026). The HE environment consisted of large ‘double-decker’ individually ventilated cages (IVC; Tecniplast, Italy), with the addition of abundant shredded paper nesting material and objects (wood blocks, chain, crinkle nest material, ladders, wooden balls, and sunflower seeds), which were altered weekly for environmental stimulation. The LE condition consisted of single-level open-top cages with less space, minimal shredded paper nesting material, and no added toys or seeds for stimulation (Supplementary Figure 1).

In total, 28 dams had litters which consisted of Val/Val, Val/Met, and Met/Met offspring in the expected approximate 1:2:1 ratio (Supplementary Table 1). There was no difference in dam age at mating, litter size, offspring genotype ratio, offspring sex ratio, or offspring age at weaning between the two housing conditions (Supplementary Table 1). The dams and their offspring were housed in LE or HE conditions from conception until weaning, after which all offspring were moved to IVC cages with standard, low-level enrichment. Offspring were housed in these standard enrichment IVC cages from weaning until the end of the study.

A total of 121 rats were used for behavioral analysis, with 7–12 rats of each genotype, sex, and rearing environment, creating 12 experimental groups (Table 1). No more than two of each genotype, sex, and housing condition per litter were allocated to each experimental group. Litter size from which offspring were selected did not differ between groups (Supplementary Table 2). At 2 weeks of age, all pups had ear clip tissue collected for genotyping so that they could be genotyped and assigned to groups based on their genotype at weaning at 3 weeks of age. Genotyping was done by Transnetyx (Cordova, TN, United States).

Table 1

Val/ValVal/MetMet/Met
Housing conditionMalesFemalesMalesFemalesMalesFemales
LE101011111010
HE118121279

Total number of rats per group by genotype, sex, and housing condition.

At 12 weeks, the rats were humanely euthanized for brain analysis. Following approved standard operating procedures, this included placing the animals in a 40.5 L euthanasia chamber, after which CO2 was infused into the chamber at a rate of approximately 12 L/min. The animals were closely observed and, when breathing had ceased, they were removed from the chamber and decapitated. The brain was rapidly removed from the skull and placed on an ice-cold plate. Because the ventral and dorsal hippocampus play a differential role in locomotor activity and anxiety (Adams et al., 2008; Bannerman et al., 2004), we dissected the ventral hippocampus separately from the dorsal hippocampus via a 50/50 split. Brain samples were frozen on dry ice and stored at −80 °C until shipment on dry ice to Milan, Italy, where analysis of gene expression was performed.

Behavioral analyses

All behavioral tests occurred between 8 and 11 weeks of age (Jaehne et al., 2022; Jaehne et al., 2023). In the first week, the rats underwent an Elevated Plus Maze (EPM) test, followed by an open field test 3 days later. The next week, the rats underwent a 3-day fear conditioning analysis. Finally, in the third week, the rats were tested in a 2-day forced swim test protocol (Supplementary Figure 1). Behavioral testing was done between 9:00 a.m. and 2:00 p.m. All experimenters were blinded to genotypes and early housing conditions throughout the process of behavioral analyses.

Elevated plus maze (EPM)

The EPM was a plus-shaped platform elevated 50 cm from the ground, with four 50 cm long arms 10 cm in width. Two arms were enclosed with 50 cm high walls, and the other arms were open with no walls. In the center of the EPM was a 10 cm × 10 cm open square that allowed the rat to move between the arms. Each rat was positioned in the center of the plus maze and allowed to freely move for a duration of 5 min. A camera mounted above the maze captured the rat’s movement, and video tracking (Ethovision, Noldus, Netherlands) was used to analyze the time spent in each arm of the maze and the number of open and closed arms visited. While inquisitive of novel areas, due to their instinctive nature to avoid open areas, rats tend to avoid visiting the open arms of the maze (Pellow et al., 1985; Wall and Messier, 2001). Therefore, more time in the open arms and more open arm visits are measures postulated to demonstrate decreased anxiety-like behavior.

Open field

Rats were placed into an open enclosure approximately 100 × 100 cm in size with 50 cm high walls with no ceiling, and left to explore for 10 min. A camera mounted above the apparatus captured the rat’s movements, and video tracking (Ethovision, Noldus, Netherlands) was used to analyze behavior, including the total distance travelled and time spent in a 50 × 50 cm square center zone. Activity in the center zone of the open field is commonly used as a measure of anxiety-like behavior in rodents, and less time spent in the center zone is postulated to suggest greater anxiety-like behavior (Denenberg, 1969; Prut and Belzung, 2003).

Fear conditioning

Fear conditioning chambers (Med Associates, St. Albans, VT, United States) were utilized to measure rat fear learning, memory, and extinction (Jaehne et al., 2022; Maren, 2001). Two different context conditions were used evenly between rats. Context A comprised of no house light, aluminum walls, and stainless-steel rod floors wiped down with water and peppermint essence between trials. Context B had a house light, white acrylic walls with green tape patterns, and sawdust below the stainless-steel rod floor that was cleaned with water in between trials.

The first day measured fear learning acquisition. After a period of 3 min for habituation, over a total period of 11 min, the rats were administered three 30-s 80 dB Sound Pressure Level (SPL) tones (conditioned stimulus, CS), followed by a 1-s 0.7 mA foot shock occurring from the grid floors (unconditioned stimulus, US). Each administration of the CS and US pairing was followed by a 3 min no-stimulus interval. The second day assessed fear memory and extinction learning. Animals were placed into fear chambers in the opposite context from day 1 for a habituation period of 3 min, followed by 40 CS tones (30 s each) without any foot shocks. These sessions occurred over 27 min, with 5 s in between the tones.

All animal movements and freezing were captured by automated near-infrared tracking software (Video Freeze, Med Associates), which calculated the percentage of time the rat was freezing during each 30 s CS tone presentation. Day 1 data were divided into the three CS/US pairing components, whereas day 2 was split into four averaged periods of 10 CS each for analysis, and responses in trials 1–10 were used as a measure of fear memory (Jaehne et al., 2022; Jaehne et al., 2023).

Forced swim test

Immobility in the forced swim test was introduced as a behavioral test for evaluating antidepressant drug activity (Slattery and Cryan, 2012). While it has consequently also been used as a measure of depressive-like behavior, where immobility behavior was thought to represent despair or lack of coping, more recently, it has been argued that immobility is a measure of a switch from active to passive behavior in the face of an acute stressor, mediated by cognitive processes underlying behavioral adaptation and survival (Molendijk and de Kloet, 2015).

The apparatus was a clear Perspex cylinder (20 cm W × 50 cm H) filled up to 30 cm with water at 23 ± 2 °C. The testing was completed over 2 days, with habituation carried out on the first day, which involved placing the rats into the apparatus for 10 min. On the second day, rats were placed back into the apparatus for 5 min, and their behavior was recorded via video camera for later analysis. Rats were continuously monitored by the experimenter during the testing, and immediately following testing were dried and placed on a warm mat before being returned to their home cages.

Video recordings were scored for immobility and climbing behaviors by two individual scorers using Kinoscope software (Kokras et al., 2017), with a strong correlation between both scorers’ data sets (r = 0.94, p ≤ 0.001). Immobility behavior was characterized by a lack of any active swimming movements, often reflecting floating or freezing behaviors. Climbing behavior is an escape-directed behavior that represents the opposite of immobility and is defined as the upward swimming movement of the forearms against the side of the apparatus (Slattery and Cryan, 2012).

Gene expression analysis

RNA extraction

Total RNA was extracted using PureZOL RNA isolation reagent (Bio-Rad Laboratories Cat #732–6,890) according to the manufacturer’s protocol. To prevent DNA contamination, samples were then treated with DNAse (Thermo Fisher Cat. EN0521) following the manufacturer’s protocol. RNA concentration was quantified using a NanoDrop spectrophotometer (Thermo Fisher).

The ventral hippocampus samples were analyzed for expression levels of BDNF, as well as BDNF IV, BDNF 3’UTR Long, BDNF VI, and BDNF IX. Total BDNF expression is under the control of several promoters (Notaras and van den Buuse, 2019; Aid et al., 2007). Of these, BDNF IV expression is associated with neuronal activity (Zheng et al., 2012) and contextual fear expression (Bach et al., 2023). BDNF 3’UTR Long has been shown to regulate BDNF expression in dendrites vs. soma (Zheng et al., 2012) and following chronic stress (Oh et al., 2019). BDNF VI is involved in activity-dependent BDNF expression and is particularly found in distal dendrites (Baj et al., 2011). BDNF VI expression is increased following prenatal stress (Neeley et al., 2011) and in temporal lobe epilepsy (Martinez-Levy et al., 2016). Finally, BDNF IX is the only coding exon of the BDNF gene, while the other exons (I–VIII) are non-coding and regulate tissue-specific expression. Exon IX contains the entire precursor protein sequence, but little is known about its specific regulation (Nair and Wong-Riley, 2016).

The samples were also analyzed for expression of a number of stress markers. Nuclear factor erythroid 2-related factor 2 (NRF2) is a transcription factor regulating cellular responses against toxic and oxidative stress (Bhandari et al., 2021; He et al., 2020). NRF2 has been shown to stimulate BDNF expression (Mendez-David et al., 2015; Yao et al., 2021), particularly exon IX. Serum/glucocorticoid-regulated kinase 1 (SGK1) plays an important role in cellular stress responses, and its expression is increased by early-life stress (Millette et al., 2025) and in depression (Dattilo et al., 2020). Hippocampus FK506-binding protein 5 (FKBP5) interacts with early-life stress to mediate anxiety-like behavior (Criado-Marrero et al., 2019). The effect of stress-induced elevated HPA axis activity involves two types of glucocorticoid receptors in the brain: the glucocorticoid receptor, encoded by the nuclear receptor subfamily 3 group C member 1 (NR3C1) gene, and the mineralocorticoid receptor, encoded by the NR3C2 gene (Mifsud and Reul, 2018). Early-life stress has been shown to lead to long-term epigenetic changes in NR3C1 and NR3C2 expression (Palma-Gudiel et al., 2015; Siller Wilks et al., 2024).

RT-PCR

In order to evaluate gene expression, real-time polymerase chain reaction (qRT-PCR) was performed (CFX384 Real-Time system, Bio-Rad Laboratories) using the iTaq Universal Probes One-Step kit (Bio-Rad Laboratories, Cat#1725141). Primers and probes for β-Actin, GAPDH, BDNF isoform IV, BDNF 3’UTR Long, SGK1, FKBP5, NR3C1, and NR3C2 were obtained from Life Technologies; primers and probes for BDNF and NRF2 were obtained from Eurofins (see Supplementary Table 6 for probe catalogue numbers and primer sequences).

Samples were run in triplicate using β-Actin and GAPDH as housekeeping genes. Thermal cycling consisted of 10 min of incubation at 95 °C to allow retrotranscription, followed by 5 min at 95 °C to allow TaqMan Polymerase to activate, after which 39 PCR cycles were performed. Each cycle consists of 10 s of heating at 95 °C, to denature dsDNA, followed by 30 s at 60 °C for annealing and extension.

Data analysis

Statistical analyses of behavioral and gene expression data were conducted using IBM Statistical Package for the Social Sciences (SPSS) version 26 (IBM, Chicago, IL, United States), with graphs created on GraphPad Prism (version 9; GraphPad Software, San Diego, CA, United States). An a priori power analysis was conducted prior to the investigation to confirm a sufficient sample size (Cohen, 1988); however, the sample size used was also consistent with prior research (Jaehne et al., 2022). Data were screened for both univariate and multivariate outliers. Normality was checked using skewness and kurtosis standardized z-scores, the Shapiro–Wilk test, and the Kolmogorov–Smirnov test. Homogeneity of variance was assessed using Levene’s test for Equality of Variance.

For all analyses of variance (ANOVA) of behavioral data, between-subject factors were sex (male or female), genotype (Val/Val, Val/Met, or Met/Met), and housing condition (LE or HE). EPM data were analyzed using univariate (time in open arm or distance travelled) or repeated-measures (open vs. closed arm) ANOVA. Differences between groups in the open field were analyzed using repeated-measures ANOVA with time spent in the outer and center zone as the within-subjects factors. Fear conditioning data were analyzed using repeated-measures (CS period freezing during acquisition and extinction learning) ANOVA. Differences between groups on the forced swim test were analyzed using univariate ANOVA (time immobile or time climbing).

qRT-PCR data analysis was performed using the efficiency-corrected model method. Normalization was performed using the arithmetic mean of β-actin and GAPDH, which were individually verified to be stable across experimental groups. The amplification efficiencies of both target and housekeeping genes were taken into account (Pfaffl, 2001). Outliers in each experimental group were identified with SPSS and excluded from the analyses. Data are presented as fold change% compared to LE-Val/Val (set at 100%). Future studies should aim to verify the present findings by using geometric averaging of additional reference genes, as recommended as a strong normalization strategy (Vandesompele et al., 2002).

Statistical significance in all cases was assumed at a p-value < 0.05. A Bonferroni adjustment was used for all post-hoc analyses where appropriate. Effect size was determined by partial eta squared, where the magnitude of effect sizes (≥0.01 small, ≥0.06 medium, and ≥0.14 large) was defined using previously published guidelines (Cohen, 1988; Richardson, 2011).

Results

Body weight

Rats reared in the HE condition were significantly heavier than those reared in the LE condition, independent of genotype. Repeated-measures ANOVA of offspring body weight from 2 to 10 weeks of age showed a significant main effect of housing condition [F(1,109) = 14.78, p < 0.001, ηp2 = 0.119] and a significant interaction between age and housing condition [F(8,872) = 4.87, p < 0.001, ηp2 = 0.043], with male and female rats reared in the HE condition heavier than those reared in LE (Figure 1). Further analysis of group differences at each age showed that rats reared in the HE condition were significantly heavier than LE rats at all ages, except at 2 weeks. There was also a main effect of age [F(8,872) = 7029.3, p < 0.001, ηp2 = 0.985], with body weight increasing over time as expected, as well as a main effect of sex [F(1,109) = 543.5, p < 0.001, ηp2 = 0.833] and an age × sex interaction [F(8,872) = 693.0, p < 0.001, ηp2 = 0.864] with males heavier and growing faster than females (Figure 1). Male rats were significantly heavier than female rats at all ages. There were no genotype differences in body weight at any age (Figure 1).

Figure 1

Adrenal weight corrected for body weight at the end of the study was significantly higher in females than in males [F(1,106) = 229.7, p < 0.001, ηp2 = 0.684]. There was also a trend for a sex × condition interaction [F(1,106) = 3.33, p = 0.071, ηp2 = 0.030]. Analysis of adrenal weights in males showed no significant differences between the groups. Female rats reared in the HE condition had significantly heavier adrenals than those reared in the LE condition [F(1,51) = 4.32, p < 0.05, ηp2 = 0.030], independent of genotype (Figure 2).

Figure 2

Elevated plus maze

Rats reared in HE conditions appeared to show greater anxiety-like behavior, as suggested by less time on the plus maze open arms and, instead, more time on either the closed arms or the central square. There were no genotype differences in any of these effects (Figure 3). Repeated-measures ANOVA of time spent in open and closed arms with sex, genotype, and housing condition as between-group factors indicated a main effect for arm [F(1,109) = 1059.6, p < 0.001, ηp2 = 0.907], where rats spent more time in the closed arm compared to the open arm (Supplementary Table 3). There were interactions of arm with sex [F(1,109) = 4.25, p < 0.05, ηp2 = 0.038] and with housing condition [F(1,109) = 4.85, p < 0.05, ηp2 = 0.043]. Univariate ANOVA of time spent in the open arms showed a main effect of sex [F(1,109) = 9.07, p < 0.05, ηp2 = 0.077] and of housing condition [F(1,109) = 10.42, p < 0.05, ηp2 = 0.087] with female rats spending more time on the open arms than male rats and HE rats spending less time on the open arms than LE rats (Figure 3A). Analysis of time spent on the closed arms or in the central square showed no significant differences between the groups. However, the sum of time spent on the closed arms and in the central square was significantly higher in male rats than in female rats [F(1,109) = 9.04, p < 0.05, ηp2 = 0.077] and in HE rats compared to LE rats [F(1,109) = 10.42, p < 0.05, ηp2 = 0.087; Figure 3A; Supplementary Table 3].

Figure 3

Repeated-measures ANOVA of the number of entries in the open arms or closed arms only showed a main effect of arm [F(1,109) = 281.8, p < 0.001, ηp2 = 0.721] and no interactions. There was a main effect of sex [F(1,109) = 8.54, p < 0.05, ηp2 = 0.073] reflecting that female rats were more active and visited more arms on the elevated plus maze than male rats (Supplementary Table 3). This was also shown by analysis of total distance moved on the plus maze, which showed a main effect of sex [F(1,109) = 3166.6, p < 0.001, ηp2 = 0.967] with females moving a greater distance on the plus-maze than males (Figure 3B). However, ANOVA of distance moved also showed an interaction of sex and housing condition [F(1,109) = 5.88, p < 0.05, ηp2 = 0.051]. Further analysis of distance data split by sex showed that, independent of genotype, females in the HE condition travelled less distance on the plus maze than LE females [F(1,54) = 6.06, p < 0.05, ηp2 = 0.101] with no difference between HE and LE males (Figure 3B). Analysis of the data split by housing condition showed that, again independent of genotype, LE females travelled greater distances than LE males [F(1,56) = 1809.5, p < 0.001, ηp2 = 0.217], whereas there was no sex difference in distance moved by rats raised in the HE condition (Figure 3B).

Open field

Similar to the plus maze, rats reared in HE conditions appeared to show greater anxiety-like behavior in the open field, as suggested by HE rats spending less time in the inner zone of the open field than LE rats, independent of genotype (Figure 3). Repeated-measures ANOVA of time spent in the outer and inner zones of the open field with sex, genotype, and housing condition as between-group factors showed the expected main effect of zone [F(1,109) = 8904.1, p < 0.001, ηp2 = 0.988], with all rats spending more time in the outer zone compared to the inner zone (Supplementary Table 4). There were independent interactions of zone with sex [F(1,109) = 13.69, p < 0.001, ηp2 = 0.112] and with housing condition [F(1,109) = 4.49, p < 0.05, ηp2 = 0.040]. Univariate ANOVA of time spent in the inner zone of the open field revealed a main effect of sex [F(1,109) = 9.51, p < 0.05, ηp2 = 0.080] with female rats spending more time in the inner zone than male rats (Figure 3C). There was also a main effect of housing condition [F(1,109) = 5.04, p < 0.05, ηp2 = 0.044] with HE rats spending less time in the inner zone than LE rats (Figure 3C). Analysis of time spent in the outer zone (Supplementary Table 4) predictably showed the opposite trends with males spending more time in the outer zone than females [F(1,109) = 18.11, p < 0.001, ηp2 = 0.142] and a strong trend for HE rats to spend more time in the outer zone than LE rats [F(1,109) = 3.87, p = 0.052, ηp2 = 0.034].

Analysis of the number of entries from the outer zone to the inner zone of the open field revealed a main effect of sex [F(1,109) = 16.05, p < 0.001, ηp2 = 0.128] but no significant interactions, with females more active than males (Supplementary Table 4). Analysis of distance moved in the open field similarly revealed a main effect of sex [F(1,109) = 24.15, p < 0.001, ηp2 = 0.181] with females again more active than males (Figure 3D). Similar to distance moved on the plus-maze, analysis of distance moved in the open field also showed a sex × housing condition interaction [F(1,109) = 4.99, p = 0.027, ηp2 = 0.044]. Analysis of the data split by housing condition showed that LE female rats were more active than LE male rats [F(1,56) = 25.75, p < 0.001, ηp2 = 0.315], but there was no significant sex difference in distance moved in the open field between the HE groups (Figure 3D). Analysis of the data split by sex showed no effect of housing condition in males, with a trend for LE females to be more active than HE females [F(1,54) = 3.56, p = 0.064, ηp2 = 0.062]. There were no differences between the genotypes in any of these effects in the open field (Figure 3).

Fear conditioning

There were no effects of HE or LE conditions on the acquisition of freezing or extinction learning (Figure 4). Repeated-measures ANOVA of fear acquisition showed a main effect for CS [F(2,218) = 216.9, p < 0.001, ηp2 = 0.666], reflecting that freezing increased over the three tones (Figures 4A,B). There was also an interaction of sex and CS [F(2,218) = 3.10, p < 0.05, ηp2 = 0.028], with males freezing more than females (Figures 4A,B). Additionally, there was a significant interaction between genotype and CS [F(4,218) = 2.89, p < 0.05, ηp2 = 0.050], suggesting subtle differences between the genotypes in the acquisition of freezing to the CS. However, there were no differences between the groups for CS3, suggesting that at the end of the session, all rats had similarly learned the association between CS and US (Figures 4A,B).

Figure 4

Analysis of fear extinction learning on Day 2 demonstrated a main effect of CS block [F(2.18, 237.6) = 365.9, p < 0.001, ηp2 = 0.770], showing the expected extinction of freezing over repeated presentation of the CS in the absence of the US. Analysis also indicated a significant interaction of CS block and sex [F(2.18, 237.6) = 5.53, p < 0.05, ηp2 = 0.048], accompanied by a significant main effect of sex [F(1,109) = 21.06, p < 0.001, ηp2 = 0.162], with males freezing more than females (Figures 4C,D; Supplementary Table 5). There were no significant effects or interactions of genotype or early housing condition. Using the first CS block as a measure of fear memory (Jaehne et al., 2022; Jaehne et al., 2023), ANOVA showed lower freezing in females than in males [F(1,109) = 10.09, p < 0.05, ηp2 = 0.085], but there were no effects of genotype or housing condition (Figures 4C,D; Supplementary Table 5).

Forced swim test

Female HE rats showed less immobility and more climbing in the forced swim test than female LE rats, with no difference in males (Figure 5). Analysis of immobility time revealed a main effect of sex [F(1,104) = 26.4, p < 0.001, ηp2 = 0.202], with males showing greater immobility time than females (Figure 5). There was also an interaction of sex and housing condition [F(1,104) = 4.06, p < 0.05, ηp2 = 0.038], with further analysis by sex showing that female HE rats showed significantly less immobility than female LE rats [F(1,50) = 5.92, p < 0.05, ηp2 = 0.106] with no difference in males. This effect of housing condition in females was also dependent on genotype [F(2,50) = 4.02, p < 0.05, ηp2 = 0.138] with further analysis showing that immobility was significantly reduced in HE Met/Met rats compared to LE Met/Met rats [F(1,14) = 6.96, p < 0.05, ηp2 = 0.332] with no housing condition effect in Val/Val or Val/Met rats (Figure 5).

Figure 5

Analysis of climbing behavior showed both a main effect of housing condition [F(1,104) = 8.45, p < 0.05, ηp2 = 0.075] and an interaction of sex and housing condition [F(1,104) = 11.7, p < 0.001, ηp2 = 0.101] with further analysis by sex showing that, independent of genotype, female HE rats showed significantly more climbing than female LE rats [F(1,50) = 17.4, p < 0.001, ηp2 = 0.259] with no difference in males (Figure 5).

Gene expression analysis: BDNF

BDNF expression in the ventral hippocampus was significantly reduced in HE females compared to LE females, with no housing condition effect in males, and appeared to be inversely dependent on genotype between males and females (Figure 6A). Specifically, analysis of BDNF gene expression revealed a large genotype × sex interaction [F(2,79) = 11.95, p < 0.001, ηp2 = 0.232]. Further analysis split by sex of the animals showed a genotype effect in males [F(2,42) = 3.76, p = 0.031, ηp2 = 0.152], independent of housing condition, with Val/Met males showing higher BDNF gene expression than both Val/Val [F(1,29) = 6.39, p = 0.017, ηp2 = 0.181] and Met/Met males [F(1,26) = 5.69, p = 0.025, ηp2 = 0.180] but no difference between male Val/Val and Met/Met rats (Figure 6A). In contrast, in females, there were main effects of genotype [F(2,37) = 11.76, p < 0.001, ηp2 = 0.389] and housing condition [F(1,37) = 5.20, p = 0.028, ηp2 = 0.123] as well as a genotype × housing condition interaction [F(2,37) = 5.99, p = 0.006, ηp2 = 0.245]. BDNF expression was significantly lower in female HE rats compared to female LE rats (Figure 6A). Further analysis of the genotype differences showed that BDNF expression was significantly lower in Val/Met females than Val/Val females [F(1,24) = 32.2, p < 0.001, ηp2 = 0.565], irrespective of housing condition. In contrast, comparison of female Val/Val and Met/Met rats showed an interaction of genotype and housing condition [F(1,24) = 6.95, p = 0.014, ηp2 = 0.224] with BDNF expression significantly lower in female Met/Met rats than female Val/Val rats in the LE condition [F(1,11) = 6.61, p = 0.026, ηp2 = 0.375] but not in the HE condition (Figure 6A).

Figure 6

There were no significant effects of sex, genotype, or housing condition on BDNF IV expression (Figure 6B).

Similar to BDNF expression, analysis of BDNF 3’UTR Long suggested housing condition effects that were dependent on both genotype and sex (Figure 6C). ANOVA showed an interaction of housing condition, genotype, and sex [F(2,83) = 3.68, p = 0.029, ηp2 = 0.082] as well as interactions of housing condition and genotype [F(2,83) = 4.13, p = 0.019, ηp2 = 0.091] and of genotype and sex [F(2,83) = 3.42, p = 0.037, ηp2 = 0.076]. Analysis of the data split by sex revealed a housing condition × genotype interaction in males [F(2,43) = 4.95, p = 0.012, ηp2 = 0.187]. Regarding genotype-dependent condition effects, further analysis showed that expression of BDNF 3’UTR Long was significantly higher in male Val/Val rats in the HE condition than in the LE condition [F(1,16) = 5.30, p = 0.035, ηp2 = 0.249], but there were no effects of housing condition in male Val/Met or Met/Met rats (Figure 6C). Regarding housing condition-dependent genotype differences in males, in the LE condition BDNF 3’UTR Long expression was significantly higher in Val/Met [F(1,15) = 14.24, p = 0.002, ηp2 = 0.487] and Met/Met rats [F(1,15) = 5.55, p = 0.032, ηp2 = 0.270] than in Val/Val males but there was no difference between Val/Met and Met/Met rats in the LE condition or any genotype differences in the HE condition (Figure 6C).

In females, there was only a main effect of genotype [F(2,40) = 7.21, p = 0.002, ηp2 = 0.265], with both Val/Met [F(1,27) = 16.67, p < 0.001, ηp2 = 0.382] and Met/Met rats [F(1,25) = 5.79, p = 0.024, ηp2 = 0.188] showing lower expression of BDNF 3’UTR Long than Val/Val females but no difference between Val/Met and Met/Met females. There were also no effects of housing condition on expression of BDNF 3’UTR Long in females (Figure 6C).

Analysis of BDNF VI expression revealed a large main effect of sex [F(1,87) = 25.4, p < 0.001, ηp2 = 0.266], with females showing higher expression than males (Figure 6D). There was also an interaction of housing condition × genotype × sex [F(2,87) = 3.17, p = 0.047, ηp2 = 0.068], which was further analyzed by splitting the data by sex. This showed a genotype effect in males [F(2,45) = 4.54, p = 0.016, ηp2 = 0.168], independent of housing condition, with Val/Met males showing higher BDNF gene expression than Val/Val [F(1,32) = 8.40, p = 0.007, ηp2 = 0.208] but not Met/Met males and there was no difference between male Val/Val and Met/Met rats (Figure 6D). There were no effects of early housing condition or genotype on BDNF VI expression in females (Figure 6D).

Analysis of BDNF IX expression showed a large genotype × sex interaction [F(2,87) = 3.71, p = 0.028, ηp2 = 0.079], which was further analyzed by splitting the data by sex. This showed a genotype effect in males [F(2,43) = 4.02, p = 0.025, ηp2 = 0.158], independent of housing condition, with Met/Met males showing higher BDNF gene expression than Val/Val [F(1,28) = 7.32, p = 0.011, ηp2 = 0.207] but not Val/Met males and there was no difference between male Val/Val and Val/Met rats (Figure 6E). There were again no effects of early housing condition or genotype on BDNF IX expression in females (Figure 6E).

Gene expression analysis: stress-related factors

Expression of the stress response transcription factor NRF2 was affected by housing condition, but this effect was independently interacting with sex and with genotype (Figure 7A). Thus, in addition to a main effect of housing condition [F(1,80) = 8.02, p = 0.006, ηp2 = 0.091], ANOVA revealed both a main effect of sex [F(1,80) = 30.5, p < 0.001, ηp2 = 0.276] and a sex × housing interaction [F(1,80) = 7.62, p = 0.007, ηp2 = 0.087] as well as a main effect of genotype [F(2,80) = 3.68, p = 0.029, ηp2 = 0.084] and a genotype × housing interaction [F(1,80) = 4.03, p = 0.022, ηp2 = 0.092], but no sex × genotype × housing condition interaction. Further analysis, split by sex of the animals, revealed significantly lower NRF2 expression in females in the HE condition compared to the LE condition, independent of genotype [F(1,42) = 12.40, p = 0.001, ηp2 = 0.228], but no housing condition effect in males (Figure 7A). Analysis of the data split by housing condition showed a main effect of sex [F(1,40) = 39.4, p < 0.001, ηp2 = 0.496], with NRF2 expression in the LE condition higher in females than in males (Figure 7A). There was also a main effect of genotype in the LE condition [F(2,40) = 8.64, p < 0.001, ηp2 = 0.302] with NRF2 expression higher in Met/Met rats compared to Val/Val [F(1,24) = 4.47, p = 0.045, ηp2 = 0.157] and Val/Met rats [F(1,28) = 18.2, p < 0.001, ηp2 = 0.394] but not between Val/Val and Val/Met rats (Figure 7A). There were no differences between the groups in the HE condition (Figure 7A).

Figure 7

There were no effects of genotype or housing condition and no sex differences in the expression of SGK1 (Figure 7B) or FKBP5 (Figure 7C). Expression of the glucocorticoid receptor gene, NR3C1 (Figure 7D), was significantly lower in females than in males [F(1,85) = 14.6, p < 0.001, ηp2 = 0.146], and there was also a genotype × housing condition × sex interaction [F(2,85) = 6.16, p = 0.003, ηp2 = 0.127]. In males, there was only a genotype effect [F(2,42) = 4.27, p = 0.020, ηp2 = 0.169]. Both Val/Met [F(1,32) = 4.73, p = 0.037, ηp2 = 0.129] and Met/Met males [F(1,26) = 6.97, p = 0.014, ηp2 = 0.211] showed lower NR3C1 expression than Val/Val males, with no differences between Val/Met and Met/Met males (Figure 7D). In females, there was a genotype × housing condition interaction [F(2,43) = 6.30, p = 0.004, ηp2 = 0.227]. While there were no genotype differences in females in either the LE condition or the HE condition, analysis of the data split by genotype revealed that NR3C1 expression was higher in Met/Met females in the HE condition than in the LE condition [F(1,15) = 13.65, p = 0.002, ηp2 = 0.476] with no housing condition effects in either Val/Val or Val/Met females (Figure 7D).

There were no effects of housing condition or genotype on expression of the mineralocorticoid receptor, NR3C2 (Figure 7E).

Discussion

The aim of this study was to investigate the effect of early-life environment on anxiety-like behavior in adulthood and the modulating role of BDNF Val66Met. We compared adult rats from a prenatal/neonatal high-enrichment/high-complexity environment (HE) with those from a low-enrichment/low-complexity environment (LE). The main results indicated significant effects of early-life environment, with some effects occurring in both males and females, but other effects occurring only in females (Table 2). Specifically, body weight was higher in both males and females of HE rats compared to LE rats. Anxiety-like behavior, expressed as time on the open arms of the plus maze or time in the inner zone of the open field, was greater in both male and female HE rats compared to LE rats. In contrast, adrenal weight was increased only in female HE rats, distance travelled on the plus maze was decreased only in female HE rats, and forced swim test immobility was reduced, and swimming was increased, by HE only in females. Fear conditioning and fear extinction, other indices of anxiety-like behavior, were notably not altered by early-life environmental conditions.

Table 2

ParameterComparing HE vs. LEFigure
Body weightHigher in both males and femalesFigure 1
Adrenal weightHigher in femalesFigure 2
Plus maze open arm timeLower in males and femalesFigure 3A
Plus maze distance movedLower in femalesFigure 3B
Open field inner zone timeLower in males and femalesFigure 3C
Open field distance movedNo differenceFigure 3D
Fear conditioningNo differenceFigure 4
Forced swim test immobility timeLower in female Met/MetFigure 5A
Forced swim test climbing timeHigher in femalesFigure 5B
Ventral hippocampus gene expression
BDNFLower in females, mostly Val/MetFigure 6A
BDNF IVNo differencesFigure 6B
BDNF 3’UTR LongHigher in male Val/ValFigure 6C
BDNF VINo differenceFigure 6D
BDNF IXNo differenceFigure 6E
NRF2Lower in females, mostly Met/MetFigure 7A
SGK1No differenceFigure 7B
FKBP5No differenceFigure 7C
NR3C1Higher in female Met/MetFigure 7D
NR3C2No differenceFigure 7E

Summary of the results comparing HE with LE.

A few of the behavioral changes, depending on early-life environment, were dependent on BDNF genotype. In contrast, the effect of HE vs. LE condition on expression of BDNF, NRF2, and the glucocorticoid receptor, NR3C1, in the ventral hippocampus varied depending on genotype, and most of these changes were again only seen in females (Table 2). Thus, BDNF expression was lower in HE females than LE females, with the greatest effect seen in Val/Met rats, with no such effect in males. Expression of NRF2 was also decreased in females, with the greatest change seen in Met/Met rats. Finally, compared to the LE condition, expression of NR3C1 was higher in HE female Met/Met rats only. Of note, there were no effects of early-life environment or genotype on the expression of SGK1, FKBP5, and the mineralocorticoid receptor, NR3C2.

The present study is novel in several aspects. First, while previous studies have investigated the effects of prenatal (Buss et al., 2012; Creutzberg et al., 2021; Weinstock, 2017) or neonatal stress (Gobinath et al., 2014; Millstein and Holmes, 2007; Nishi, 2020) on anxiety-like behavior in rats, few of these studies have focused on housing conditions as a form of prenatal/neonatal stress during early development, with the offspring being housed in identical conditions after weaning. Our protocol thus focuses on the long-lasting developmental effects of early-life environmental conditions rather than continued exposure to these conditions. Second, while the effect of different cage types (Logge et al., 2013; Shan et al., 2014) and environmental enrichment (Dominguez-Oliva et al., 2025; Huttenrauch et al., 2016; Singhal et al., 2019) on anxiety-like behaviors has been studied previously, those studies mostly focused on the effect of these conditions in already adolescent or adult rats, not the long-term effect of these conditions during the prenatal/neonatal period. Third, while it is widely accepted that prenatal/neonatal stress, as well as environmental enrichment, affects BDNF signaling in the brain (Notaras and van den Buuse, 2020; Roceri et al., 2004), no previous studies have addressed the interaction of the common human BDNF gene variant, Val66Met, with the effects of prenatal/neonatal environmental factors. Finally, few studies have addressed the long-term effects of early housing conditions on molecular aspects of BDNF gene expression or on the expression of specific stress markers in the ventral hippocampus.

Long-term effects of prenatal/neonatal housing conditions on anxiety-like behavior

Body weight was significantly higher in both male and female HE than LE offspring, independent of genotype. Several studies have shown that the pre- and perinatal environment can have enduring effects on the body weight development of offspring (Burgueno et al., 2020; Tamashiro and Moran, 2010). Further experiments should be done to identify the metabolic and endocrine factors involved in the differences in body weight between the groups. Because the focus of this study was the behavioral and molecular consequences of early developmental factors, these factors were not studied here. However, it is important to note that the subtle body weight differences are unlikely to explain any of the behavioral changes seen between the LE and HE conditions.

Long-term effects of prenatal/neonatal housing conditions on anxiety-like behavior

It was hypothesized that rats in HE conditions would present lower indices of anxiety-like behaviors than rats in LE conditions, similar to the protective effects of environmental enrichment on the effects of prenatal/neonatal stress seen in previous studies (Koe et al., 2016; Rule et al., 2021). It was also predicted that Met/Met rats would present the highest rate of anxiety-like behaviors due to their reduced activity-dependent BDNF release in comparison to Val/Met and Val/Val genotypes (Chen et al., 2006). However, behavioral analysis revealed that rats reared in HE conditions spent less time in the open arms of the EPM and less time in the inner zone of the open field than those from LE conditions, suggesting a high-anxiety phenotype independent of Val66Met genotype. There has been some controversy regarding the term “environmental enrichment” to indicate several environmental factors such as group housing, larger cage size, and addition and regular changing of environmental items such as toys, ladders, and nesting material (Ratuski and Weary, 2022; Lopes et al., 2018; Toth et al., 2011). Such conditions have, in fact, been shown to result in profound changes in hypothalamic–pituitary–adrenal axis function consistent with moderate stress levels (Konkle et al., 2010; Moncek et al., 2004). Thus, it is possible that our HE protocol had a similar impact to moderate prenatal/neonatal stress rather than a low-stress environment, which could explain our finding of lasting higher indices of high-anxiety behavior in adulthood. Indeed, several studies have shown profound long-lasting changes in HPA axis activity and anxiety-like behavior in adulthood following prenatal stress (Creutzberg et al., 2021; Weinstock, 2017; Abe et al., 2007; Maccari and Morley-Fletcher, 2007). Specifically in our study, during the neonatal period, the frequent changes in the environment could have caused mild/moderate stress for the dam and offspring, with long-term effects in both male and female rats (Ennaceur et al., 2006; Tang et al., 2006). We generally did not observe any differences between Val/Val, Val/Met, and Met/Met rats in the long-lasting effects of early-life environment on anxiety-like behavior. Thus, it may be that the effects of early life environment in this rat model override any modulatory effect of the Val66Met genotype. This is in contrast to previous studies using Val66Met mice, where Met/Met mice showed higher levels of anxiety-like behavior (Chen et al., 2006) and greater sensitivity to stress (Vandenberg et al., 2018).

While our model showed significant differences in anxiety-like behavior on the plus-maze and in the open field, there were no changes in fear conditioning, another behavioral paradigm associated with fear and anxiety. Previous studies have shown a similar dissociation, suggesting that, at least in animal models, general anxiety, such as caused by innate aversion of open spaces in rats and mice, is regulated differently from conditioned fear and controlled by different neural pathways (Daniel-Watanabe and Fletcher, 2022; Heinz et al., 2021; Perusini and Fanselow, 2015). Our results suggest that neural pathways involved in general anxiety, such as the Bed Nucleus of the Stria Terminalis and its projections, are more sensitive to stressful early-life housing conditions than those mediating learned fear, such as the amygdala (Perusini and Fanselow, 2015; Pego et al., 2008), although further studies are needed to confirm this.

Additional differences between HE and LE conditions

In addition to the complexity and frequent changes in the environment, there are several other factors that could have played a role in the long-term effects of HE vs. LE on anxiety-like behavior. For example, it was routinely observed that HE dams would spend considerable time on the ‘mezzanine’ platform of their multilevel cage, that is, away from the litter, whereas in the absence of such a platform, the LE dams would tend to remain in the nest with their offspring, potentially leading to differences in the volume of maternal care. Although future experiments should include quantitative analysis of maternal behavior to confirm these observations, it should be noted that maternal separation is a well-known method of neonatal stress, leading to enhanced anxiety-like behavior in adulthood (Wang et al., 2020). Similarly, reduced maternal care may lead to increased anxiety-like behavior in the offspring (Caldji et al., 1998; Liu et al., 1997), similar to what we observed here.

It should furthermore be noted that the open-top cages we used in the LE condition here allow more social communication between cages, in the form of pheromone scent and ultrasonic vocalizations, than the closed IVC cages with their isolated ventilation (Bigelow et al., 2022; Carew and Ghosh, 2020), potentially offsetting some of the effects of other cage-related factors such as reduced cage height, causing reduced pandiculation and less nesting material, causing less burrowing (Makowska and Weary, 2016). Future experiments can aim to limit the number of differences between our HE and LE conditions, for example, by housing LE rats in the larger IVC cages but without added enrichment.

Finally, as part of the ‘enrichment’ in the HE condition, the rats were provided with sunflower seeds to stimulate foraging behavior. Given the high fat and high protein content of these seeds, this could have constituted dietary supplementation and may have played a role in the significantly higher body weight in HE rats than LE rats. Given that these seeds are rich in phytoestrogens, their supplementation could have also played a role in the sex differences seen in some of the behavioral outcomes of the HE vs. LE conditions. However, it should be noted that no sunflower seeds were provided in the ‘standard’ housing, where all rats were kept post-weaning.

Sex differences in the long-term effects of prenatal/neonatal housing conditions

While some of the behavioral changes in adulthood following prenatal/neonatal HE were seen in both males and females, other effects were only seen in females, and, notably, there were no behavioral effects that were only present in male offspring. For example, female HE showed reduced plus maze overall distance moved, reduced forced swim test immobility, and increased swimming time. Similarly, female HE rats showed enlarged adrenals, consistent with hyperactivity of the HPA axis (Ulrich-Lai et al., 2006). This could indicate that females show a greater sensitivity to the effects of early-life environment than males, as has been suggested by others (Weinstock, 2007) and consistent with the observation of a higher prevalence of anxiety-like conditions in women than in men (Altemus et al., 2014; Gater et al., 1998). However, previous studies on sex differences in the effects of prenatal or neonatal stress have found varying results, likely caused by differences in the type and timing of the stress (Creutzberg et al., 2021; Gobinath et al., 2014). For example, repeated neonatal separation caused greater increases in anxiety-like behavior in male than in female offspring (de Melo et al., 2018) although there were no sex differences in other studies (Kalinichev et al., 2002; Soares-Cunha et al., 2018) similar to our findings. On the other hand, more specifically about forced swim stress, our findings are similar to previous studies showing greater effects of prenatal or neonatal stress in female than male offspring (Alonso et al., 1991; Goodwill et al., 2019).

Long-term effects of prenatal/neonatal housing conditions on BDNF expression

Similar to some of the behavioral changes between HE and LE observed only in female offspring, we observed a significantly lower BDNF expression in the ventral hippocampus in female, but not male rats, with the greatest effect seen in Val/Met rats. BDNF expression is under the control of several promoters, allowing complex regulatory mechanisms and resulting in many isoforms of BDNF mRNA, while all are translated into one BDNF protein (Notaras and van den Buuse, 2019; Aid et al., 2007). Of these isoforms, BDNF IV is known to be heavily regulated by neuronal activity (Zheng et al., 2012), and up-regulation of BDNF IV has previously been shown to result in attenuated contextual fear expression (Bach et al., 2023). However, in our study, there were no differences in BDNF IV levels between the groups in the ventral hippocampus, and there were also no changes in fear acquisition or extinction. BDNF 3’UTR Long is important for BDNF expression in dendrites vs. soma (Zheng et al., 2012) and is down-regulated by chronic stress (Oh et al., 2019). Our results show that BDNF 3’UTR Long expression was higher in HE Val/Val males than in LE Val/Val males, but there were no other differences in males or in females, which could explain the reduced BDNF expression or changes in anxiety-like behavior. Therefore, the changes in BDNF expression in the ventral hippocampus appear to be mediated by effects of HE vs. LE on promoters other than BDNF IV or BDNF 3’UTR Long. The extended duration of the changes in BDNF expression, several weeks following transfer of the rats from either HE or LE into a standardized environment, furthermore suggests lasting epigenetic alterations of these as yet to be identified alternative regulatory pathways (Zheng et al., 2012).

Long-term effects of prenatal/neonatal housing conditions on stress marker expression in the ventral hippocampus

There were differential effects of housing condition and BDNF genotype on stress marker expression in the ventral hippocampus, although none of these directly paralleled the changes in behavior observed. In the LE condition, NRF2 expression was higher in male and female Met/Met rats compared to Val/Val and Val/Met rats. In addition to being a transcription factor regulating cellular responses against toxic and oxidative stress (He et al., 2020), NRF2 has been shown to stimulate BDNF expression (Yao et al., 2021), and the higher expression of NRF2 in Met/Met rats may be a compensatory response to reduced activity-dependent BDNF release in this genotype. However, others have argued that the role of NRF2 in anxiety and depression is independent of BDNF (Mendez-David et al., 2015). Indeed, there were no differences between the genotypes in the HE condition, suggesting that stress can affect NRF2 expression independent of the Val66Met genotype. Female, but not male HE rats, furthermore showed decreased NRF2 expression, independent of genotype, consistent with the effect of chronic stress and elevated corticosterone levels causing reduced NRF2 expression in previous studies (Yao et al., 2021). These data show that expression of NRF2 was regulated in a complex manner by genotype, sex, and early-life housing condition, consistent with previous studies (Bhandari et al., 2021; He et al., 2020).

SGK1 and FKBP5 have been implicated in cellular stress responses, and in previous studies, the expression of these markers was increased by early-life stress (Millette et al., 2025; Criado-Marrero et al., 2019) and in depression (Dattilo et al., 2020). However, there were no significant differences between HE and LE rats in the expression levels of these two markers, illustrating the specificity of the effect of early-life housing conditions on some aspects of anxiety-like behavior and their underlying molecular mechanisms.

Finally, the effect of stress-induced elevated HPA axis activity involves two types of glucocorticoid receptors in the brain: the glucocorticoid receptor, encoded by the nuclear receptor subfamily 3 group C member 1 (NR3C1) gene, and the mineralocorticoid receptor, encoded by the NR3C2 gene (Mifsud and Reul, 2018). Early-life stress has been shown to lead to long-term epigenetic changes in NR3C1 and NR3C2 expression (Palma-Gudiel et al., 2015; Siller Wilks et al., 2024). In our study, there was no effect of housing condition on NR3C1 expression in males, although both Val/Met and Met/Met males showed lower NR3C1 expression than Val/Val males. In contrast, in females, NR3C1 expression was higher in Met/Met females in the HE condition than in the LE condition, with no differences in Val/Val or Val/Met females. There were no effects of housing condition or genotype on the expression of NR3C2.

Implications for housing and husbandry of experimental animals in research

It should be mentioned that, while the main focus of this study was the role of early-life environment in anxiety disorders and the modulating role of BDNF Val66Met, our findings may have importance for our understanding of the long-term effects of housing conditions of experimental animals in research. Our results suggest that the addition of extensive ‘enrichment’ may lead to enhanced anxiety-like behavior in offspring. Thus, for appropriate evaluation of study results, at the very least, it is highly important that housing condition details are reported, including cage size, type of enrichment and frequency of its being changed, food, ventilation, and possibility for inter-cage communication. As mentioned above, previous studies have highlighted differences in behavior, HPA activity, and gene expression between cage types and the effects of environmental enrichment (Dominguez-Oliva et al., 2025; Huttenrauch et al., 2016; Logge et al., 2013; Shan et al., 2014; Singhal et al., 2019). Our study shows that these factors can have even very early and life-long effects on behavior and brain gene expression, with potential ramifications for experimental results.

Conclusion

Changes in prenatal and neonatal environmental factors may result in persistent changes in anxiety-like behavior and gene expression of BDNF and selected stress markers in adulthood, with some of these effects showing strict sex- and Val66Met genotype specificity. These results may be important for our understanding of the role of stress and the developmental environment in clinical anxiety and depression, and may also have implications for our understanding of the effects of animal housing factors in the laboratory setting.

Statements

Data availability statement

The original contributions presented in the study are publicly available. This data can be found here: https://doi.org/10.6084/m9.figshare.32754111.

Ethics statement

All experimental procedures were carried out in accordance with National Health and Medical Research Council of Australia animal ethics guidelines and were approved by the La Trobe University Animal Experimentation Ethics Committee (Application AEC20006).

Author contributions

MvdB: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. MC: Investigation, Writing – review & editing. EJ: Data curation, Formal analysis, Investigation, Project administration, Supervision, Writing – review & editing. VB: Formal analysis, Investigation, Writing – review & editing. AM: Formal analysis, Investigation, Writing – review & editing. MR: Data curation, Funding acquisition, Investigation, Methodology, Resources, Validation, Writing – original draft, Writing – review & editing.

Funding

The author(s) declared that financial support was received for this work and/or its publication. This study was partly supported by internal funding from La Trobe University and the University of Milan.

Acknowledgments

The authors are grateful to Elise Honey and Tanisha Allingham for some of the data collection.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that Generative AI was not used in the creation of this manuscript.

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Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnmol.2026.1844602/full#supplementary-material

References

  • 1

    AbeH.HidakaN.KawagoeC.OdagiriK.WatanabeY.IkedaT.et al. (2007). Prenatal psychological stress causes higher emotionality, depression-like behavior, and elevated activity in the hypothalamo-pituitary-adrenal axis. Neurosci. Res.59, 145151. doi: 10.1016/j.neures.2007.06.1465,

  • 2

    AdamsW.KusljicS.van den BuuseM. (2008). Serotonin depletion in the dorsal and ventral hippocampus: effects on locomotor hyperactivity, prepulse inhibition and learning and memory. Neuropharmacology55, 10481055. doi: 10.1016/j.neuropharm.2008.06.035,

  • 3

    AidT.KazantsevaA.PiirsooM.PalmK.TimmuskT. (2007). Mouse and rat BDNF gene structure and expression revisited. J. Neurosci. Res.85, 525535. doi: 10.1002/jnr.21139,

  • 4

    AlonsoS. J.ArevaloR.AfonsoD.RodriguezM. (1991). Effects of maternal stress during pregnancy on forced swimming test behavior of the offspring. Physiol. Behav.50, 511517. doi: 10.1016/0031-9384(91)90538-Y,

  • 5

    AltemusM.SarvaiyaN.Neill EppersonC. (2014). Sex differences in anxiety and depression clinical perspectives. Front. Neuroendocrinol.35, 320330. doi: 10.1016/j.yfrne.2014.05.004,

  • 6

    American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders. (5th ed.) doi: 10.1176/appi.books.9780890425596

  • 7

    AntolasicE. J.JaehneE. J.van den BuuseM. (2024). Interaction of brain-derived neurotrophic factor, exercise, and fear extinction: implications for post-traumatic stress disorder. Curr. Neuropharmacol.22, 543556. doi: 10.2174/1570159X21666230724101321,

  • 8

    BachS. V.BaumanA. J.HoseinD.TuscherJ. J.IanovL.GreathouseK. M.et al. (2023). Distinct roles of Bdnf I and Bdnf IV transcript variant expression in hippocampal neurons. bioRxiv. Available online at: https://doi.org/10.1101/2023.04.05.535694.

  • 9

    BajG.LeoneE.ChaoM. V.TongiorgiE. (2011). Spatial segregation of BDNF transcripts enables BDNF to differentially shape distinct dendritic compartments. Proc. Natl. Acad. Sci. USA108, 1681316818. doi: 10.1073/pnas.1014168108,

  • 10

    BannermanD. M.RawlinsJ. N.McHughS. B.DeaconR. M.YeeB. K.BastT.et al. (2004). Regional dissociations within the hippocampus--memory and anxiety. Neurosci. Biobehav. Rev.28, 273283. doi: 10.1016/j.neubiorev.2004.03.004,

  • 11

    BathinaS.DasU. N. (2015). Brain-derived neurotrophic factor and its clinical implications. Arch. Med. Sci.11, 11641178. doi: 10.5114/aoms.2015.56342,

  • 12

    BaxterA. J.ScottK. M.VosT.WhitefordH. A. (2013). Global prevalence of anxiety disorders: a systematic review and meta-regression. Psychol. Med.43, 897910. doi: 10.1017/s003329171200147x,

  • 13

    BhandariR.KaurJ.KaurS.KuhadA. (2021). The Nrf2 pathway in psychiatric disorders: pathophysiological role and potential targeting. Expert Opin. Ther. Targets25, 115139. doi: 10.1080/14728222.2021.1887141,

  • 14

    BigelowL. J.CohenA. J.PimmR.KnightJ. B.BernardP. B. (2022). Ultrasonic vocalization analysis as a novel metric to assess cage enrichment in rats. J. Am. Assoc. Lab. Anim. Sci.61, 140148. doi: 10.30802/AALAS-JAALAS-21-000024,

  • 15

    BinderD. K.ScharfmanH. E. (2004). Brain-derived neurotrophic factor. Growth Factors22, 123131. doi: 10.1080/08977190410001723308,

  • 16

    BurguenoA. L.JuarezY. R.GenaroA. M.TellecheaM. L. (2020). Prenatal stress and later metabolic consequences: systematic review and meta-analysis in rodents. Psychoneuroendocrinology113:104560. doi: 10.1016/j.psyneuen.2019.104560,

  • 17

    BussC.EntringerS.SwansonJ. M.WadhwaP. D. (2012). The role of stress in brain development: the gestational environment's long-term effects on the brain. Cerebrum.2012:4.

  • 18

    CaldjiC.TannenbaumB.SharmaS.FrancisD.PlotskyP. M.MeaneyM. J. (1998). Maternal care during infancy regulates the development of neural systems mediating the expression of fearfulness in the rat. Proc. Natl. Acad. Sci. USA95, 53355340. doi: 10.1073/pnas.95.9.5335,

  • 19

    CarewS. J.GhoshA. (2020). Shared pheromonal communication of specific fear between adult Sprague Dawley rats. Bio Protoc.10:e3564. doi: 10.21769/BioProtoc.3564,

  • 20

    ChenZ. Y.JingD.BathK. G.IeraciA.KhanT.SiaoC. J.et al. (2006). Genetic variant BDNF (Val66Met) polymorphism alters anxiety-related behavior. Science314, 140143. doi: 10.1126/science.1129663,

  • 21

    CohenJ. (1988). Statistical Power Analysis for the Behavioral Sciences. 2nd Edn. New York: Routledge.

  • 22

    CorroneM.JaehneE.ZelkoM.FansonK.WrightB. J.van den BuuseM. (2026). Brain-derived neurotrophic factor Val66met is associated with sex-specific impairment of cognitive flexibility under stress: a reversal learning search strategy analysis in a rat model. Neurobiol. Learn. Mem.225:108157. doi: 10.1016/j.nlm.2026.108157,

  • 23

    CreutzbergK. C.SansonA.ViolaT. W.MarchisellaF.BegniV.Grassi-OliveiraR.et al. (2021). Long-lasting effects of prenatal stress on HPA axis and inflammation: a systematic review and multilevel meta-analysis in rodent studies. Neurosci. Biobehav. Rev.127, 270283. doi: 10.1016/j.neubiorev.2021.04.032,

  • 24

    Criado-MarreroM.GebruN. T.GouldL. A.SmithT. M.KimS.BlackburnR. J.et al. (2019). Early life stress and high FKBP5 interact to increase anxiety-like symptoms through altered AKT signaling in the dorsal hippocampus. Int. J. Mol. Sci.20:2738. doi: 10.3390/ijms20112738,

  • 25

    Dalle MolleR.PortellaA. K.GoldaniM. Z.KapczinskiF. P.Leistner-SegalS.SalumG. A.et al. (2012). Associations between parenting behavior and anxiety in a rodent model and a clinical sample: relationship to peripheral BDNF levels. Transl. Psychiatry2:e195. doi: 10.1038/tp.2012.126,

  • 26

    Daniel-WatanabeL.FletcherP. C. (2022). Are fear and anxiety truly distinct?Biol Psychiatry Glob Open Sci.2, 341349. doi: 10.1016/j.bpsgos.2021.09.006,

  • 27

    DattiloV.AmatoR.PerrottiN.GennarelliM. (2020). The emerging role of SGK1 (serum- and glucocorticoid-regulated kinase 1) in major depressive disorder: hypothesis and mechanisms. Front. Genet.11:826. doi: 10.3389/fgene.2020.00826,

  • 28

    de MeloS. R.de David AntoniazziC. T.HossainS.KolbB. (2018). Neonatal stress has a long-lasting sex-dependent effect on anxiety-like behavior and neuronal morphology in the prefrontal cortex and hippocampus. Dev. Neurosci.40, 93103. doi: 10.1159/000486619,

  • 29

    DenenbergV. H. (1969). Open-field behavior in the rat: what does it mean?Ann. N. Y. Acad. Sci.159, 852859. doi: 10.1111/j.1749-6632.1969.tb12983.x,

  • 30

    Dominguez-OlivaA.Hernandez-AvalosI.Bueno-NavaA.ChavezC.Verduzco-MendozaA.Olmos-HernandezA.et al. (2025). Environmental enrichment for laboratory rats and mice: endocrine, physiological, and behavioral benefits of meeting rodents' biological needs. Front. Vet. Sci.12:1622417. doi: 10.3389/fvets.2025.1622417,

  • 31

    EnnaceurA.MichalikovaS.ChazotP. L. (2006). Models of anxiety: responses of rats to novelty in an open space and an enclosed space. Behav. Brain Res.171, 2649. doi: 10.1016/j.bbr.2006.03.016,

  • 32

    FrustaciA.PozziG.GianfagnaF.ManzoliL.BocciaS. (2008). Meta-analysis of the brain-derived neurotrophic factor gene (BDNF) Val66Met polymorphism in anxiety disorders and anxiety-related personality traits. Neuropsychobiology58, 163170. doi: 10.1159/000182892,

  • 33

    GaterR.TansellaM.KortenA.TiemensB. G.MavreasV. G.OlatawuraM. O. (1998). Sex differences in the prevalence and detection of depressive and anxiety disorders in general health care settings: report from the World Health Organization collaborative study on psychological problems in general health care. Arch. Gen. Psychiatry55, 405413. doi: 10.1001/archpsyc.55.5.405,

  • 34

    GobinathA. R.MahmoudR.GaleaL. A. (2014). Influence of sex and stress exposure across the lifespan on endophenotypes of depression: focus on behavior, glucocorticoids, and hippocampus. Front. Neurosci.8:420. doi: 10.3389/fnins.2014.00420,

  • 35

    GoodwillH. L.Manzano-NievesG.GalloM.LeeH. I.OyerindeE.SerreT.et al. (2019). Early life stress leads to sex differences in development of depressive-like outcomes in a mouse model. Neuropsychopharmacology44, 711720. doi: 10.1038/s41386-018-0195-5,

  • 36

    HeF.RuX.WenT. (2020). NRF2, a transcription factor for stress response and beyond. Int. J. Mol. Sci.21:32640524. doi: 10.3390/ijms21134777,

  • 37

    HeinzD. E.SchottleV. A.NemcovaP.BinderF. P.EbertT.DomschkeK.et al. (2021). Exploratory drive, fear, and anxiety are dissociable and independent components in foraging mice. Transl. Psychiatry11:318. doi: 10.1038/s41398-021-01458-9,

  • 38

    HuttenrauchM.SalinasG.WirthsO. (2016). Effects of long-term environmental enrichment on anxiety, memory, hippocampal plasticity and overall brain gene expression in C57BL6 mice. Front. Mol. Neurosci.9:62. doi: 10.3389/fnmol.2016.00062,

  • 39

    JaehneE. J.AntolasicE. J.CreutzbergK. C.BegniV.RivaM. A.van den BuuseM. (2023). Impaired fear memory in a rat model of the brain-derived neurotrophic factor Val66Met polymorphism is reversed by chronic exercise. Neurobiol. Learn. Mem.203:107779. doi: 10.1016/j.nlm.2023.107779,

  • 40

    JaehneE. J.CorroneM.van den BuuseM. (2024). Administering a behavioral test battery in rodents. Methods Mol. Biol.2746, 87100. doi: 10.1007/978-1-0716-3585-8_7,

  • 41

    JaehneE. J.KentJ. N.AntolasicE. J.WrightB. J.SpiersJ. G.CreutzbergK. C.et al. (2022). Behavioral phenotyping of a rat model of the BDNF Val66Met polymorphism reveals selective impairment of fear memory. Transl. Psychiatry12:93. doi: 10.1038/s41398-022-01858-5,

  • 42

    JaehneE. J.KentJ. N.LamN.SchonfeldL.SpiersJ. G.BegniV.et al. (2023). Chronic running-wheel exercise from adolescence leads to increased anxiety and depression-like phenotypes in adulthood in rats: effects on stress markers and interaction with BDNF Val66Met genotype. Dev. Psychobiol.65:e22347. doi: 10.1002/dev.22347,

  • 43

    JavaidS. F.HashimI. J.HashimM. J.StipE.SamadM. A.AhbabiA. A. (2023). Epidemiology of anxiety disorders: global burden and sociodemographic associations. Middle East Curr. Psychiatry30:44. doi: 10.1186/s43045-023-00315-3

  • 44

    JonkerI.RosmalenJ. G. M.SchoeversR. A. (2017). Childhood life events, immune activation and the development of mood and anxiety disorders: the TRAILS study. Transl. Psychiatry7:e1112. doi: 10.1038/tp.2017.62,

  • 45

    KalinichevM.EasterlingK. W.PlotskyP. M.HoltzmanS. G. (2002). Long-lasting changes in stress-induced corticosterone response and anxiety-like behaviors as a consequence of neonatal maternal separation in long-Evans rats. Pharmacol. Biochem. Behav.73, 131140. doi: 10.1016/s0091-3057(02)00781-5,

  • 46

    KoeA. S.AshokanA.MitraR. (2016). Short environmental enrichment in adulthood reverses anxiety and basolateral amygdala hypertrophy induced by maternal separation. Transl. Psychiatry6:e729. doi: 10.1038/tp.2015.217,

  • 47

    KokrasN.BaltasD.TheocharisF.DallaC. (2017). Kinoscope: an open-source computer program for behavioral pharmacologists. Front. Behav. Neurosci.11:88. doi: 10.3389/fnbeh.2017.00088,

  • 48

    KonkleA. T.KentnerA. C.BakerS. L.StewartA.BielajewC. (2010). Environmental-enrichment-related variations in behavioral, biochemical, and physiologic responses of Sprague-Dawley and long Evans rats. J. Am. Assoc. Lab. Anim. Sci.49, 427436.

  • 49

    LiuD.DiorioJ.TannenbaumB.CaldjiC.FrancisD.FreedmanA.et al. (1997). Maternal care, hippocampal glucocorticoid receptors, and hypothalamic-pituitary-adrenal responses to stress. Science277, 16591662. doi: 10.1126/science.277.5332.1659,

  • 50

    LoggeW.KinghamJ.KarlT. (2013). Behavioural consequences of IVC cages on male and female C57BL/6J mice. Neuroscience237, 285293. doi: 10.1016/j.neuroscience.2013.02.012,

  • 51

    LopesD. A.CéspedesI. C.VianaM. B. (2018). Effects of environmental enrichment on anxiety measurements: a review. Res Rev Neurosci2, 16.

  • 52

    MaccariS.Morley-FletcherS. (2007). Effects of prenatal restraint stress on the hypothalamus-pituitary-adrenal axis and related behavioural and neurobiological alterations. Psychoneuroendocrinology32, S10S15. doi: 10.1016/j.psyneuen.2007.06.005,

  • 53

    MakowskaI. J.WearyD. M. (2016). The importance of burrowing, climbing and standing upright for laboratory rats. R. Soc. Open Sci.3:160136. doi: 10.1098/rsos.160136,

  • 54

    MarenS. (2001). Neurobiology of Pavlovian fear conditioning. Annu. Rev. Neurosci.24, 897931. doi: 10.1146/annurev.neuro.24.1.897,

  • 55

    Martinez-LevyG. A.RochaL.LubinF. D.Alonso-VanegasM. A.NaniA.Buentello-GarciaR. M.et al. (2016). Increased expression of BDNF transcript with exon VI in hippocampi of patients with pharmaco-resistant temporal lobe epilepsy. Neuroscience314, 1221. doi: 10.1016/j.neuroscience.2015.11.046,

  • 56

    Mendez-DavidI.TritschlerL.AliZ. E.DamiensM. H.PallardyM.DavidD. J.et al. (2015). Nrf2-signaling and BDNF: a new target for the antidepressant-like activity of chronic fluoxetine treatment in a mouse model of anxiety/depression. Neurosci. Lett.597, 121126. doi: 10.1016/j.neulet.2015.04.036,

  • 57

    MercadoN. M.StancatiJ. A.SortwellC. E.MuellerR. L.BoezwinkleS. A.DuffyM. F.et al. (2021). The BDNF Val66Met polymorphism (rs6265) enhances dopamine neuron graft efficacy and side-effect liability in rs6265 knock-in rats. Neurobiol. Dis.148:105175. doi: 10.1016/j.nbd.2020.105175,

  • 58

    MichaelT.ZetscheU.MargrafJ. (2007). Epidemiology of anxiety disorders. Psychiatry6, 136142. doi: 10.1016/j.mppsy.2007.01.007

  • 59

    MifsudK. R.ReulJ. M. H. N. (2018). Mineralocorticoid and glucocorticoid receptor-mediated control of genomic responses to stress in the brain. Stress21, 389402. doi: 10.1080/10253890.2018.1456526,

  • 60

    MilletteA.van DijkM. T.PokhvisnevaI.LiY.ThompsonR.PatelS.et al. (2025). Hippocampal SGK1 promotes vulnerability to depression: the role of early life adversity, stress, and genetic risk. Mol. Psychiatry30, 60796089. doi: 10.1038/s41380-025-03269-6,

  • 61

    MillsteinR. A.HolmesA. (2007). Effects of repeated maternal separation on anxiety- and depression-related phenotypes in different mouse strains. Neurosci. Biobehav. Rev.31, 317. doi: 10.1016/j.neubiorev.2006.05.003,

  • 62

    MolendijkM. L.de KloetE. R. (2015). Immobility in the forced swim test is adaptive and does not reflect depression. Psychoneuroendocrinology62, 389391. doi: 10.1016/j.psyneuen.2015.08.028,

  • 63

    MoncekF.DunckoR.JohanssonB. B.JezovaD. (2004). Effect of environmental enrichment on stress related systems in rats. J. Neuroendocrinol.16, 423431. doi: 10.1111/j.1365-2826.2004.01173.x,

  • 64

    MontagC.BastenU.StelzelC.FiebachC. J.ReuterM. (2010). The BDNF Val66Met polymorphism and anxiety: support for animal knock-in studies from a genetic association study in humans. Psychiatry Res.179, 8690. doi: 10.1016/j.psychres.2008.08.005,

  • 65

    NairB.Wong-RileyM. T. (2016). Transcriptional regulation of brain-derived neurotrophic factor coding exon IX: role of nuclear respiratory factor 2. J. Biol. Chem.291, 2258322593. doi: 10.1074/jbc.M116.742304,

  • 66

    NeeleyE. W.BergerR.KoenigJ. I.LeonardS. (2011). Prenatal stress differentially alters brain-derived neurotrophic factor expression and signaling across rat strains. Neuroscience187, 2435. doi: 10.1016/j.neuroscience.2011.03.065,

  • 67

    NishiM. (2020). Effects of early-life stress on the brain and behaviors: implications of early maternal separation in rodents. Int. J. Mol. Sci.21:7212. doi: 10.3390/ijms21197212,

  • 68

    NotarasM.HillR.van den BuuseM. (2015). The BDNF gene Val66Met polymorphism as a modifier of psychiatric disorder susceptibility: progress and controversy. Mol. Psychiatry20, 916930. doi: 10.1038/mp.2015.27,

  • 69

    NotarasM.van den BuuseM. (2019). Brain-derived neurotrophic factor (BDNF): novel insights into regulation and genetic variation. Neuroscientist25, 434454. doi: 10.1177/1073858418810142,

  • 70

    NotarasM.van den BuuseM. (2020). Neurobiology of BDNF in fear memory, sensitivity to stress, and stress-related disorders. Mol. Psychiatry25, 22512274. doi: 10.1038/s41380-019-0639-2,

  • 71

    OhH.PiantadosiS. C.RoccoB. R.LewisD. A.WatkinsS. C.SibilleE. (2019). The role of dendritic brain-derived neurotrophic factor transcripts on altered inhibitory circuitry in depression. Biol. Psychiatry85, 517526. doi: 10.1016/j.biopsych.2018.09.026,

  • 72

    Palma-GudielH.Cordova-PalomeraA.LezaJ. C.FananasL. (2015). Glucocorticoid receptor gene (NR3C1) methylation processes as mediators of early adversity in stress-related disorders causality: a critical review. Neurosci. Biobehav. Rev.55, 520535. doi: 10.1016/j.neubiorev.2015.05.016,

  • 73

    PegoJ. M.MorgadoP.PintoL. G.CerqueiraJ. J.AlmeidaO. F.SousaN. (2008). Dissociation of the morphological correlates of stress-induced anxiety and fear. Eur. J. Neurosci.27, 15031516. doi: 10.1111/j.1460-9568.2008.06112.x,

  • 74

    PellowS.ChopinP.FileS. E.BrileyM. (1985). Validation of open:closed arm entries in an elevated plus-maze as a measure of anxiety in the rat. J. Neurosci. Methods14, 149167. doi: 10.1016/0165-0270(85)90031-7,

  • 75

    PerusiniJ. N.FanselowM. S. (2015). Neurobehavioral perspectives on the distinction between fear and anxiety. Learn. Mem.22, 417425. doi: 10.1101/lm.039180.115,

  • 76

    PfafflM. W. (2001). A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res.29:e45. doi: 10.1093/nar/29.9.e45,

  • 77

    PrutL.BelzungC. (2003). The open field as a paradigm to measure the effects of drugs on anxiety-like behaviors: a review. Eur. J. Pharmacol.463, 333. doi: 10.1016/S0014-2999(03)01272-X,

  • 78

    RatuskiA. S.WearyD. M. (2022). Environmental enrichment for rats and mice housed in laboratories: a metareview. Animals12:414. doi: 10.3390/ani12040414,

  • 79

    RichardsonJ. T. E. (2011). Eta squared and partial eta squared as measures of effect size in educational research. Educ. Res. Rev.6, 135147. doi: 10.1016/j.edurev.2010.12.001

  • 80

    RoceriM.CirulliF.PessinaC.PerettoP.RacagniG.RivaM. A. (2004). Postnatal repeated maternal deprivation produces age-dependent changes of brain-derived neurotrophic factor expression in selected rat brain regions. Biol. Psychiatry55, 708714. doi: 10.1016/j.biopsych.2003.12.011,

  • 81

    RuleL.YangJ.WatkinH.HallJ.BrydgesN. M. (2021). Environmental enrichment rescues survival and function of adult-born neurons following early life stress. Mol. Psychiatry26, 18981908. doi: 10.1038/s41380-020-0718-4,

  • 82

    ShanL.SchipperP.NonkesL. J.HombergJ. R. (2014). Impaired fear extinction as displayed by serotonin transporter knockout rats housed in open cages is disrupted by IVC cage housing. PLoS One9:e91472. doi: 10.1371/journal.pone.0091472,

  • 83

    Siller WilksS. J.HeidingerB. J.WestneatD. F.SolomonJ.RubensteinD. R. (2024). The impact of parental and developmental stress on DNA methylation in the avian hypothalamic-pituitary-adrenal axis. Mol. Ecol.33:e17291. doi: 10.1111/mec.17291,

  • 84

    SinghalG.MorganJ.JawaharM. C.CorriganF.JaehneE. J.TobenC.et al. (2019). The effects of short-term and long-term environmental enrichment on locomotion, mood-like behavior, cognition and hippocampal gene expression. Behav. Brain Res.368:111917. doi: 10.1016/j.bbr.2019.111917,

  • 85

    SlatteryD. A.CryanJ. F. (2012). Using the rat forced swim test to assess antidepressant-like activity in rodents. Nat. Protoc.7, 10091014. doi: 10.1038/nprot.2012.044,

  • 86

    SmithK. E.PollakS. D. (2020). Early life stress and development: potential mechanisms for adverse outcomes. J. Neurodev. Disord.12:34. doi: 10.1186/s11689-020-09337-y,

  • 87

    SmollerJ. W.Gardner-SchusterE.CovinoJ. (2008). The genetic basis of panic and phobic anxiety disorders. Am. J. Med. Genet. C Semin. Med. Genet.148C, 118126. doi: 10.1002/ajmg.c.30174,

  • 88

    Soares-CunhaC.CoimbraB.BorgesS.DominguesA. V.SilvaD.SousaN.et al. (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,

  • 89

    SyedS. A.NemeroffC. B. (2017). Early life stress, mood, and anxiety disorders. Chronic Stress (Thousand Oaks).1:2470547017694461. doi: 10.1177/2470547017694461,

  • 90

    TamashiroK. L.MoranT. H. (2010). Perinatal environment and its influences on metabolic programming of offspring. Physiol. Behav.100, 560566. doi: 10.1016/j.physbeh.2010.04.008,

  • 91

    TangA. C.AkersK. G.ReebB. C.RomeoR. D.McEwenB. S. (2006). Programming social, cognitive, and neuroendocrine development by early exposure to novelty. Proc. Natl. Acad. Sci. USA103, 1571615721. doi: 10.1073/pnas.0607374103,

  • 92

    TothL. A.KregelK.LeonL.MuschT. I. (2011). Environmental enrichment of laboratory rodents: the answer depends on the question. Comp. Med.61, 314321.

  • 93

    Ulrich-LaiY. M.FigueiredoH. F.OstranderM. M.ChoiD. C.EngelandW. C.HermanJ. P. (2006). Chronic stress induces adrenal hyperplasia and hypertrophy in a subregion-specific manner. Am. J. Physiol. Endocrinol. Metab.291, E965E973. doi: 10.1152/ajpendo.00070.2006,

  • 94

    van der VeldtS.BagotR. C.CiocchiS.ItoR.KheirbekM. A.MacAskillA. F.et al. (2025). Anxiety and beyond: diversity in ventral hippocampus circuits and function. J. Neurosci.45:e1304252025. doi: 10.1523/jneurosci.1304-25.2025,

  • 95

    VandenbergA.LinW. C.TaiL. H.RonD.WilbrechtL. (2018). Mice engineered to mimic a common Val66Met polymorphism in the BDNF gene show greater sensitivity to reversal in environmental contingencies. Dev. Cogn. Neurosci.34, 3441. doi: 10.1016/j.dcn.2018.05.009,

  • 96

    VandesompeleJ.De PreterK.PattynF.PoppeB.Van RoyN.De PaepeA.et al. (2002). Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol.3:research0034.1. doi: 10.1186/gb-2002-3-7-research0034,

  • 97

    WalkerC. D.BathK. G.JoelsM.KorosiA.LaraucheM.LucassenP. J.et al. (2017). Chronic early life stress induced by limited bedding and nesting (LBN) material in rodents: critical considerations of methodology, outcomes and translational potential. Stress20, 421448. doi: 10.1080/10253890.2017.1343296,

  • 98

    WallP. M.MessierC. (2001). Methodological and conceptual issues in the use of the elevated plus-maze as a psychological measurement instrument of animal anxiety-like behavior. Neurosci. Biobehav. Rev.25, 275286. doi: 10.1016/S0149-7634(01)00013-6,

  • 99

    WangD.LevineJ. L. S.Avila-QuinteroV.BlochM.KaffmanA. (2020). Systematic review and meta-analysis: effects of maternal separation on anxiety-like behavior in rodents. Transl. Psychiatry10:174. doi: 10.1038/s41398-020-0856-0,

  • 100

    WeinstockM. (2007). Gender differences in the effects of prenatal stress on brain development and behaviour. Neurochem. Res.32, 17301740. doi: 10.1007/s11064-007-9339-4,

  • 101

    WeinstockM. (2017). Prenatal stressors in rodents: effects on behavior. Neurobiol. Stress6, 313. doi: 10.1016/j.ynstr.2016.08.004,

  • 102

    YaoW.LinS.SuJ.CaoQ.ChenY.ChenJ.et al. (2021). Activation of BDNF by transcription factor Nrf2 contributes to antidepressant-like actions in rodents. Transl. Psychiatry11:140. doi: 10.1038/s41398-021-01261-6,

  • 103

    YuH.WangD. D.WangY.LiuT.LeeF. S.ChenZ. Y. (2012). Variant brain-derived neurotrophic factor Val66Met polymorphism alters vulnerability to stress and response to antidepressants. J. Neurosci.32, 40924101. doi: 10.1523/JNEUROSCI.5048-11.2012,

  • 104

    ZhengF.ZhouX.MoonC.WangH. (2012). Regulation of brain-derived neurotrophic factor expression in neurons. Int. J. Physiol. Pathophysiol. Pharmacol.4, 188200,

Summary

Keywords

brain-derived neurotrophic factor, neonatal, prenatal, sex differences, stress

Citation

van den Buuse M, Corrone M, Jaehne EJ, Begni V, Marchesin A and Riva MA (2026) Prenatal and neonatal housing conditions affect anxiety-like behavior in adulthood in rats and interact with brain-derived neurotrophic factor (BDNF) Val66Met to alter expression of BDNF and stress markers in the ventral hippocampus. Front. Mol. Neurosci. 19:1844602. doi: 10.3389/fnmol.2026.1844602

Received

01 April 2026

Revised

08 June 2026

Accepted

09 June 2026

Published

08 July 2026

Volume

19 - 2026

Edited by

Oliver von Bohlen und Halbach, Universitätsmedizin Greifswald, Germany

Reviewed by

Fang Gao, Icahn School of Medicine at Mount Sinai, United States

Arpana Reinsberg, University of Tartu, Estonia

Updates

Copyright

*Correspondence: Maarten van den Buuse,

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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