Abstract
Pesticides are essential for modern agriculture but raise concerns about potential neurodevelopmental consequences, leading to bans in some countries. This study aimed to investigate the long-term effects of prenatal exposure to chlorpyrifos (CPF) on behavior and DNA methylation, considering genetic susceptibility via the apolipoprotein E (APOE) genotype. Pregnant mice—C57BL/6J and those carrying human APOE ε3 or ε4 alleles—were orally exposed to 0 or 1 mg/kg/day of CPF from gestational day 12 to 18. Adult offspring underwent light and dark and Morris water maze tests to assess anxiety-like behavior and spatial learning and memory. Then, hippocampal samples were collected to assess DNA methylation. Results indicated that body weight was lower in females and CPF-treated mice. C57BL/6J males spent less time in the light compartment, worsened by CPF. In contrast, within APOE genotype ε4 carriers spent more time in the light compartment, with CPF increasing male activity. Moreover, long-term retention was impaired in both male and female apoE4 mice prenatally exposed to CPF. DNA methylation analysis revealed sex-dependent differences, with hypomethylation in the CPF-treated male hippocampus. These findings highlight how pesticides and genetic factors interact, affecting neurobehavioral development, and explore the potential impact of CPF on DNA methylation.
1. Introduction
Pesticides are indispensable for agricultural production. For many years, they have been used to control corn yields and pests such as ticks, fleas, termites, chinch bugs, aphids, or mosquitoes [1]. Organochlorine insecticides were the first class of pesticides to be used, in particular, dichlorodiphenyltrichloroethane (DDT). Nevertheless, the evaluation of toxicity and ecotoxicity of DDT revealed its potential to cause serious adverse environmental and human health effects [2].
Since the use of the popular DDT was restricted in 1972, organophosphates (OPs) have been used to control insects in households and agricultural fields. However, it has been observed that persistent use of these pesticides can affect non-target organisms, posing risks to both humans and animals [3]. The best-known OP compound is chlorpyrifos (CPF) [4,5]. The main neurotoxic effect of CPF, and its principal active metabolite CPF-oxon, is the inhibition of the enzyme acetylcholinesterase (AChE). AChE is responsible for the breakdown of acetylcholine (ACh) in the synaptic cleft in the central nervous system (CNS) and at the neuromuscular or neuro-glandular junctions of the peripheral nervous system. Blockade of the active site of AChE by CPF or CPF-oxon and its subsequent inhibition leads to an accumulation of ACh at synapses, resulting in cholinergic hyperstimulation [6,7,8].
The lipophilic properties of CPF allow it to cross the placenta and be absorbed by fetal tissues, including the developing brain. In addition, it can accumulate in breast milk and be transferred to infants or neonates [9,10,11]. Therefore, exposure to CPF could occur before the CNS reaches full maturity, a time of high risk for toxic effects of the pesticide [12,13,14]. Most experimental studies assessing prenatal exposure to CPF have employed doses ranging from 2.5 to 6 mg/kg, which often results in clear neurodevelopmental alterations [15,16]. However, several studies have shown that lower doses—at levels that do not produce detectable inhibition of AChE—can also lead to adverse outcomes [17,18,19,20,21,22,23,24]. These lower exposures are particularly relevant, as they are more representative and allow for the study of the subtle but potentially long-lasting effects of CPF. For instance, exposure to low doses of CPF (1 mg/kg/day) during neurogenesis resulted in social deficits in adolescent C57BL/6J mice [25] and alterations in rat communication by increasing the latency to emit the first call and reducing the total number of calls [26]. In addition, Levin et al. [27] and Icenogle [28] found that rats prenatally exposed to 1 or 5 mg/kg/day of CPF exhibited alterations in working and reference memory in a figure-8 maze and 16-arm radial maze during adolescence and adulthood. This indicates that exposure to CPF during fetal development causes behavioral impairments that persist to adulthood. Due to these adverse effects, CPF was banned for indoor use in January 2001 [29,30,31] and was fully prohibited by 2021 [32,33]. Despite this, the population continues to be exposed to the pesticide as a consequence of its use in developing countries. Consequently, CPF remains in the environment and can be spread around the world by routes such as ocean currents [34].
Behavioral adverse effects are not only produced by exposure to environmental contaminants, but genetics also play a key role in the vulnerability to these effects [35]. The apolipoprotein E (APOE) gene is polymorphic and, in humans, codes for three main isoforms (apoE2, apoE3, and apoE4), which are distributed differently throughout the population (apoE3 > apoE4 > apoE2) [36,37,38,39,40]. The primary function of APOE is to transport and deliver lipids between tissues and cells, maintaining lipid homeostasis [38,41]. This protein plays a crucial role during early stages of development, when cholesterol and other lipids are needed for processes such as neurogenesis, synaptogenesis, or myelination. However, the distribution and elimination of lipids depends on the type of APOE isoform, indirectly affecting cognition and behavior [42,43]. In humans, homozygous carriers of the APOE ε4 allele are at an increased risk of developing Alzheimer’s disease (AD), but it appears to confer cognitive advantages in young adults [44,45]. In the same line, animal studies have reported that the APOE genotype, and specifically the ε4 allele, is associated with learning and memory deficits and in increased anxious, stressful, and depressive behavior [46,47,48,49].
Different levels of vulnerability to the environmental toxicant CPF were also observed in relation to the apoE isoform [50]. Postnatal exposure to 1 or 3 mg/kg/day of CPF increased impulsive and compulsive behaviors, as well as the preference for the social stimulus in APOE ε4 carriers, while performance in learning and memory tasks was worse, especially in females [51,52,53].
In addition to genetic factors, the epigenetic mechanisms involved in the early embryonic development of mammals are considered to be highly vulnerable to environmental toxicants [54]. Although research on DNA methylation in relation to APOE allele variations and CPF exposure remains limited, emerging evidence is beginning to shed light on this area. In this line, Guardia-Escote et al. [55] examined the DNA methylation in hypothalamic genes related to feeding regulation in homozygous mice for human APOE ε3 and ε4 alleles that were postnatally exposed to CPF. The study revealed notable sex- and genotype-dependent effects that vary by gene and specific DNA sites.
Despite growing evidence on the effects of the APOE genotype and postnatal exposure to CPF separately, their potential interactions, the influence of sex-specific differences and underlying regulatory mechanisms during early developmental stages remain poorly understood. Therefore, in this study, we focused on investigating mechanisms related to the long-term effects of prenatal CPF exposure during fetal development. Specifically, we studied the adverse effects of CPF on anxiety-like behaviors and spatial learning and memory. This investigation was based on the strong association between the APOE ε4 allele and AD. Additionally, we conducted an exploratory analysis of DNA methylation in the hippocampus of a transgenic mouse model carrying the APOE3 and APOE4 genotypes to assess the potential of CPF to act as an epigenetically active compound.
2. Materials and Methods
2.1. Animals
Adult male and female mice were used in this study. The C57BL/6J mice were obtained from Charles River Laboratories (Barcelona, Spain), while the human apoE3- and apoE4-target replacement (TR) homozygote mice were obtained from Taconic Europe (Lille Skensved, Denmark). The apoE-TR model has a C57BL/6NTac background and was generated by replacing the murine ApoE gene with the human APOE ε3 or ε4 allele, without altering any endogenous regulatory sequence [56]. After one week in quarantine, one male and two females of the same strain were mated for 3 h. The animals were then separated, and the presence of a vaginal plug indicated gestational day (GD) 0.
All the mice were housed in plastic cages containing a minimum of two and a maximum of five animals. On GD 12, pregnant females were housed individually and randomly assigned to one of the two treatment groups (control (CNT) or CPF). Delivery day was assigned as postnatal day (PND) 0. Litters with less than four pups were excluded. A total of four apoE3 litters, four apoE4 litters and five C57BL/6J litters were excluded in the study. All animals had ad libitum access to food (SAFE® A04 diet, Panlab, Barcelona, Spain) and tap water and were maintained in a 12 h light/dark automatic cycle (light on from 8:00 a.m. to 8:00 p.m.), at a controlled temperature (22 ± 2 °C) and humidity (50 ± 10%).
2.2. Treatment and Experimental Design
To assess the effect of prenatal exposure to low doses of CPF in adults, pregnant female mice were fed a diet containing 0 or 1 mg/kg/day between GD 12 and 18. This exposure window was selected because in this period, active neurogenesis, neuronal migration, and early hippocampal formation occur, making this developmental window particularly sensitive to environmental insults [57]. The dose was selected because it is below the threshold for cholinergic effects [8]. Litter characteristics and postnatal outcomes were previously described by Biosca-Brull et al. [58], confirming that the CPF dose used in this study does not induce reproductive toxicity. CPF (0,0-diethyl O-(3,5,6-trichloropyridin-2-yl) phosphorothioate) with 99.5% purity was obtained from Sigma-Aldrich (Madrid, Spain). The standard food was supplemented with 15 mg CPF/kg (Panlab, Barcelona, Spain) and adjusted to administer the required dose. Maternal body weight and food consumption were monitored daily to confirm the dosage administered.
Pups remained with their mothers in their home cage until they were 28 days old. Then, a maximum of two pups per litter and sex were separated into different cages according to strain, prenatal treatment, genotype, and sex for subsequent behavioral testing at three months of age (Figure 1). After weaning, body weight was measured on PND 60, before behavioral battery testing started on PND 90 and on days 5 and 8 of the Morris water maze (MWM) test. Table 1 shows the total number of animals used in this study.
Figure 1.
Schematic representation of the experimental design. Pregnant C57BL/6J and apoE-TR females received a diet containing either 0 or 1 mg/kg/day of CPF from GD 12 to 18. The day of birth was designated as PND 0. On PND 28, pups were separated from their dams and housed in plastic cages with a maximum of five animals per cage. At adulthood, anxiety-like behavior and spatial learning and memory were evaluated using the light and dark test and the Morris water maze (MWM) test, respectively.
Table 1.
Total number of animals per group in the behavioral test and biochemical analysis.
2.3. Sample Collection
Twenty-four hours after the end of the behavioral tests, animals were deeply anesthetized with isoflurane delivered in room air until complete loss of responsiveness to external stimuli was confirmed. Once deep anesthesia was achieved, euthanasia was performed by cardiac puncture for blood collection. Plasma samples were obtained and organs were subsequently removed. The brain was rapidly extracted, and the hippocampus was dissected on ice. All samples were flash-frozen in liquid nitrogen and stored at −80 °C until biochemical analysis.
2.4. Behavioral Tests
At three months of age, male and female mice were tested to evaluate the long-term effects of CPF exposure. First, anxiety-like behavior was assessed using the light and dark test. Then, spatial learning and memory were evaluated using the MWM test. Before starting the test, mice were moved to the testing room and left undisturbed for 15 min.
2.5. Light and Dark Test
The light and dark apparatus consisted of a rectangular cage with two compartments: a dark compartment (24 × 21 × 21 cm) and a brightly illuminated compartment as the light compartment (24 × 21 × 21 cm). The animals were placed in the dark compartment and allowed to move freely between the two compartments for five minutes. To avoid potential biases related to olfactory cues, the apparatus was cleaned with 70% ethanol after each trial. The first time the mice entered the light compartment (latency), the number of entries (crossings) and the total time spent into the light compartment were manually recorded by a researcher.
2.6. Morris Water Maze Test
The water maze consisted of a circular pool measuring 1 m in diameter and 60 cm in height, divided into four virtual quadrants. One of those quadrants was designated as the target quadrant (TQ) and contained an escape platform, with a diameter of 10 cm, submerged 1 cm below the surface of the water. The walls surrounding the maze included black marks of different shapes used as visual extra-maze cues to help the animals to find the platform. To prevent the use of internal cues, we included an internal rotating wall inside the pool. This wall was rotated between trials to ensure spatial learning. We then defined four starting positions in the maze; these positions were changed between trials to prevent non-spatial trajectory learning. The water maze was divided into four phases: acquisition, retention, reversal learning, and visual. Before starting with the water maze test, mice were habituated to the pool by being placed in it (without the platform) for 45 s to freely swim and explore the space. During the acquisition phase, mice performed five sessions, which were distributed over five days. Each session consisted of four trials with an inter-trial interval of 30 min. Each trial finished either when the mice reached the platform or after 60 s. In the case that the animal did not find the platform, it was guided and remained there for 30 s. The retention was evaluated by two probe trials performed at 4 and 72 h after the last acquisition trial. These consisted of 60 s of free swimming after the escape platform had been removed. After probe trial 2, we began the reversal phase, which was performed in two sessions distributed over two days. This phase followed the same protocol as the acquisition phase, but in this case, the platform was located on the opposite side of the pool. To assess the retention of the new location of the platform, a reversal probe trial was performed 4 h after the last reversal session. The following day, the visual phase was assessed to evaluate the animals’ visual acuity, motor function, and general motivation to escape from the water. This phase was carried out in a single day and consisted of four consecutive trials. In contrast to acquisition and retention phases, the platform was made visible by placing a salient object on the top of it, allowing the mice to locate it using visual cues. To avoid spatial bias, the platform was positioned in a different quadrant from those used during the acquisition and retention phases. The time taken to reach the platform and the time spent in the different quadrants were recorded using a video camera (Sony CCD-IRIS, Tokyo, Japan) and computerized by video-tracking program (EthoVision XT 11.5, Noldus Information Technologies, Wageningen, The Netherlands).
2.7. Methylation Analysis
DNA extraction from hippocampal tissue was performed using the SPEDDTOOLS Tissue DNA Extraction Kit from Biotools (Madrid, Spain; Catalog 21.136-4195). The concentration and purity of the extracted DNA were measured after each extraction using the Nanodrop 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). Global DNA methylation detection was then performed by the Methyl FlashTM Global DNA Methylation (5-mC) ELISA Easy Kit (Colorimetric) from Epigentek (Farmingdale, NY, USA; Catalog P-1030-96). According to the instructions provided by the manufacturers, hippocampal samples were adjusted to 100 ng. Briefly, methylated DNA was detected using capture and detection antibodies against 5-methylcytosine (5-mC) and then quantified colorimetrically by reading the absorbance at 450 nm using the BioTek PowerWave XS2 microplate reader (BioTek Instruments, Winooski, VT, USA). The amount of methylated DNA is proportional to the measured optical density intensity. To calculate the percentage of methylated DNA a standard curve was used. Each sample was analyzed in duplicate.
2.8. Statistical Analysis
ApoE and C57BL/6J mice were analyzed separately according to sex and treatment. The genotype factor refers exclusively to comparison between APOE genotypes. Data were analyzed using the SPSS 26.0 program (IBPM Corp, Chicago, IL, USA). First, a repeated measures (RM) analysis of variance (ANOVA) was performed with sex, genotype, and treatment as the main factors to analyze significant differences in those variables that were evaluated over time. Similarly, the overall effects of sex, genotype, and treatment, as well as their interactions, were evaluated by a univariate two- or three-way ANOVA for variables analyzed only once. A one-sample t-test was also used to compare the results with a chance level of 15 s. Homogeneity of variance was assessed using Levene’s test to determine whether the data were parametric or nonparametric. To assess sex, genotype, and/or treatment differences, one-way ANOVA followed by Tukey’s post hoc test or two-sample t-test was used for parametric data, while the Kruskal–Wallis test or Mann–Whitney U-test were used for nonparametric data. A paired sample t-test was used to assess differences in the time spent in the TQ depending on the MWM phase. Statistical significance was set at p value < 0.05, and results are represented as mean value ± standard error of the mean (S.E.M).
3. Results
3.1. Body Weight Was Affected by Sex and Gestational Exposure to Low Doses of CPF
After weaning, the body weight of mice was monitored on PND 60 and during behavioral testing. For C57BL/6J mice, a two-way RM ANOVA (sex and treatment) indicated that animals increased body weight over time [F3,36 = 3.741, p = 0.019]. Furthermore, interactions between age and treatment [F3,36 = 3.669, p = 0.021] and between age and sex [F3,36 = 2.955, p = 0.045] were observed, indicating that CPF-treated animals showed a lower body weight at PND 60, while females consistently exhibited a lower weight across all evaluated ages (Supplementary Figure S1).
Similarly, apoE homozygous mice carrying the human APOE ε3 or ε4 alleles showed that body weight increased over time [F3,80 = 20.047, p < 0.001]. The RM ANOVA with sex, treatment, and genotype as the main factors indicated the following interactions: age × treatment [F3,80 = 2.827, p = 0.044], age × sex [F3,80 = 12.979, p < 0.001], and age × sex × genotype [F3,80 = 4.626, p = 0.005]. Thus, a lower body weight was observed at PND 60 following the exposure to prenatal CPF, and this persisted across all evaluated time points in females. Furthermore, males consistently exhibited higher body weight than females regardless of the APOE genotype, except for ε4 carriers at PND 60, where no significant differences were observed (Supplementary Figure S2).
3.2. Activity in the Light and Dark Test Was Mainly Influenced by Sex and Treatment
The time spent in the light compartment, the first time that the animals cross from the dark to the light compartment (latency to the light), and the total number of crossings were evaluated to identify anxiety-like behaviors in both strains evaluated. A univariate two-way ANOVA with sex and treatment as main factors showed that C57BL/6J females spent more time in the light compartment than males [F1,42 = 8.597, p = 0.006] (Figure 2A). In addition, we found an interaction between sex and treatment in the analysis of the latency to enter to the light compartment [F1,42 = 5.999, p = 0.019] and the total number of crossings [F1,42 = 13.498, p = 0.001] (Figure 2B,C). Subsequent two-sample t-test analysis with the treatment as the independent variable showed a non-significant trend towards increased latency to enter the light compartment in C57BL/6J females treated with CPF [t20 = −2.023, p = 0.064], while C57BL/6J males treated with CPF increased the number of crossings [t19 = −4.471, p < 0.001] (Figure 2B,C), suggesting hyperactivity in males, especially in those treated with CPF.
Figure 2.
Light and dark test performed with C57BL/6J mice. Time spent in the light compartment (A), latency to first entry into the light compartment (B), and total number of crossings between the dark and light compartment (C) during the five minute test. Symbols indicate significant differences between sexes (*) and treatments (#) at p < 0.05.
Regarding APOE genotype, the univariate three-way ANOVA analysis (sex, genotype, and treatment) showed an overall effect of genotype in the time that apoE mice spent in the light compartment [F1,82 = 5.223, p = 0.025] and a general effect of treatment in the total number of crossings [F1,28 = 6.932, p = 0.010] (Figure 3A,B). Thus, mice carrying the human APOE ε4 allele spent more time in the light compartment than apoE3 mice, while prenatal CPF exposure increased the number of crossings. Moreover, an interaction between sex and treatment was observed in the time spent in the light compartment [F1,82 = 5.468, p = 0.022], the total number of crossings [F1,82 = 4.307, p = 0.041], and the latency to enter the light compartment [F1,82 = 16.252, p < 0.001] (Figure 3C–E). Two-sample t-test analysis indicated that male mice treated with CPF took less time to switch compartments [t41 = 3.656, p = 0.001] and spent more time in the light compartment [t41 = −2.276, p = 0.028], crossing between the two compartments more times than the CNT group [t41 = −3.656, p = 0.001] (Figure 3C–E). These findings suggest that prenatal CPF exposure induced sex-specific alterations, particularly in males, which may be linked to increased hyperactivity and heightened exploratory activity.
Figure 3.
Light and dark test performed with apoE-TR mice. Time spent in the light compartment according to genotype (A) and total number of crossings according to treatment (B). Sex × treatment interaction in the time spent in the light compartment (C), latency to enter the light compartment (D) and total number of crossings between dark and light compartment (E) during the five minutes of the test. The symbol # and @ indicate significant differences between treatments and genotypes, respectively, at p < 0.05.
3.3. Prenatal Exposure to CPF Did Not Affect Learning and Memory in C57BL/6J Mice
The time that the animals spent to find the platform was noted during the five days of the acquisition phase and analyzed using a RM ANOVA with the sex and treatment as the main variables. An overall effect of days was observed [F4,35 = 65.091, p < 0.001], indicating that all mice learned to reach the platform over the five days of training. In addition, a general interaction between sex and treatment was observed [F1,38 = 9.381, p = 0.004], indicating that male mice treated with CPF were the fastest to find the platform (Supplementary Figure S3A).
Short- and long-term memory were evaluated at 4 and 72 h, respectively, after the last trial of the acquisition phase. A univariate two-way ANOVA analysis (sex and treatment) did not show general effects of sex, treatment, or an interaction between them. However, all groups showed a good short- and long-term retention of the task, with all mice spending significantly more time in the TQ compared to the chance level of 15 s using a one-sample t-test (Supplementary Figure S3B).
In the third phase of the water maze test, we assessed the cognitive flexibility of the mice by relocating the escape platform to the opposite quadrant and analyzing their learning over two consecutive days. A two-way RM ANOVA (sex and treatment) indicated that animals learned the new location of the escape platform during the different trials [F3,43 = 20.443, p < 0.001]. Subsequently, the retention of the new platform location was performed 4 h after the last reversal trial. All groups learned the new location of the platform, with all mice spending more time in the new TQ. No effects of sex or treatment were observed (Supplementary Figure S3C).
Finally, the visual phase was performed to exclude impairments in vision, motor function, or escape motivation that could confound performance in any of the other MWM phases. The RM ANOVA (sex and treatment) did not show significant differences or interactions in the latency to reach the visible platform or in the distance swum along the four trials performed (Supplementary Figure S4). These results indicated that all animals were equally capable of locating a visible cue and exhibited comparable swimming abilities. Latency and total distance swam showed comparable patterns. For this reason, in Supplementary Figure S4, only latency is shown.
3.4. Long-Term Memory Was Impaired in apoE4 Mice Prenatally Exposed to CPF
Learning performance during the acquisition phase of MWM was analyzed by a univariate three-way RM ANOVA (sex, treatment, and genotype). An overall improvement in the performance was observed throughout the acquisition sessions, as evidenced by a decrease in the time taken to find the escape platform [F4,78 = 176.608, p < 0.001]. The escape latency was also modified by the following interactions: day × genotype [F4,78 = 11.738, p < 0.001], day × sex [F4,78 = 3.012, p = 0.023] (Supplementary Figure S5), day × genotype × sex [F4,78 = 3.659, p = 0.009], and day × genotype × sex × treatment [F4,78 = 2.791, p = 0.032] (Figure 4). The interactions among day, genotype, and sex indicate that apoE4 females requiring more time to locate the hidden platform compared to apoE3 females during the first three days of training (day 1 and 2 (p < 0.001) and day 3 (p = 0.003)) consistently performed worse than apoE3 females during the first three days of the acquisition phase (Figure 4). Similarly, the interaction of day × genotype × sex × treatment (Figure 4) was analyzed by a three-way ANOVA with the Tukey post-hoc and indicated that non-treated apoE4-males showed poorer learning acquisition than CPF-treated male groups on day 2 (p = 0.018), while apoE4-females displayed the poorest performance up to day 3, regardless of treatment (day 1: CNT apoE4 vs. CNT apoE3 (p < 0.001) and CPF apoE3 (p < 0.001), CPF apoE4 vs. CNT apoE3 (p = 0.005) and CPF apoE3 (p = 0.001); day 2: CNT apoE4 vs. CNT apoE3 (p = 0.025) and CPF apoE3 (p < 0.001), CPF apoE4 vs. CNT apoE3 (p = 0.035) and CPF apoE3 (p < 0.001); day 3 CNT apoE4 vs. CNT apoE3 (p = 0.022) and CPF apoE3 (p = 0.031), CPF apoE4 vs. CNT apoE3 (p = 0.042)).
Figure 4.
Acquisition in the MWM test. Latency to reach the escape platform over the five days of the training according to the interactions day × genotype × sex (A) and day × genotype × sex × treatment (B). Symbols # and @ indicate significant differences between treatment and genotype, respectively, at p < 0.05.
After acquisition, we evaluated the memory of the animals by removing the platform and analyzing the time that the mice spent in the TQ. These retention sessions were performed at 4 h (short-term) and 72 h (long-term) of the last acquisition trial. A one-sample t-test was used to analyze the time that the animal spends in the TQ in comparison with a chance level of 15 s (Figure 5A,B). Both apoE3 and apoE4 males and females showed a significant preference for the target quadrant 4 h after the last acquisition trial (apoE3 males: CNT [t10 = 4.718, p = 0.001], CPF [t10 = 6.977, p < 0.001]; apoE3 females: CNT [t10 = 3.618, p = 0.005], CPF [t10 = 6.648, p < 0.001] and apoE4 males: CNT [t13 = 5.639, p < 0.001], CPF [t10 = 5.162, p < 0.001]; apoE4 females: CNT [t8 = 5.043, p = 0.001], CPF [t10 = 2.480, p = 0.033]), while apoE4 males treated with CPF [t10 = 1.983, p = 0.075] and apoE3 CNT females [t10 = 1.894, p = 0.087] showed a non-significant trend for the TQ. apoE4 females prenatally treated with CPF showed no preference for the TQ [t10 = 1.464, p = 0.174], suggesting that treatment had a long-term detrimental effect in those mice carrying the human ε4 allele. All other groups showed a preference for the TQ (apoE3 males: CNT [t10 = 2.735, p = 0.021], CPF [t10 = 4.255, p = 0.002]; apoE3 female: CPF [t10 = 4.270, p = 0.002] and apoE4 males: CNT [t13 = 6.190, p < 0.001]; apoE4 females: CNT [t8 = 4.913, p = 0.001]) (Figure 5A,B).
Figure 5.
Retention in the MWM test. Time in the TQ in the two retention sessions (4 and 72 h) separately for males (A) and females (B). The symbol * indicates a performance significantly different from the chance level of 15 s at p < 0.05.
The reversal phase, in which the platform location is changed, is used to assess cognitive flexibility in mice. A univariate three-way RM ANOVA (sex, treatment and genotype) showed that animals learned the new location of the platform over the two-day sessions [F7,75 = 30.815, p < 0.001]. In addition, the following interaction was also observed: day × genotype [F7,75 = 4.022, p = 0.001] (Figure 6A) indicating a worse performance of the apoE4 mice during the first acquisition day. To further analyze these differences, we performed a two-sample t-test or Mann–Whitney U test, depending on the homogeneity of the samples. Significant differences were observed in all trials performed on day 1 (trial 1 (p < 0.001), trial 2 (p = 0.002), trial 3 (p < 0.001), and trial 4 (p < 0.001)) and the first two trials of day 2 (trial 1 (p = 0.027) and trial 2 [t87 = −2.785, p = 0.007]), indicating that apoE4 mice had more difficulty to reach the platform. The time that the mice spent in the TQ was then compared with a chance level of 15 s (Figure 6B). One-sample t-test showed a general preference for this quadrant by all the groups (apoE3 males: CNT [t10 = 5.575, p < 0.001], CPF [t10 = 4.988, p = 0.001]; apoE3 females: CNT [t10 = 2.391, p = 0.038], CPF [t10 = 3.103, p = 0.011]; apoE4 males: CNT [t13 = 4.148, p = 0.001], CPF [t10 = 5.495, p < 0.001]; apoE4 females: CNT [t8 = 2.399, p = 0.043], CPF [t10 = 4.001, p = 0.003]).
Figure 6.
Reversal in the MWM test. Latency to reach the scape platform over the two days of the training (A). Time in the TQ 4 h after the last reversal trial (B). The symbol @ indicates significant differences between genotypes and an * indicates a performance significantly different from the chance level of 15 s at p < 0.05.
At the end of the MWM, the visual phase was performed. A RM ANOVA (sex, treatment and genotype) revealed a significant interaction of trial × sex × treatment for both latencies to reach the visible platform [F3,79 = 4.423, p = 0.006] and total distance swum [F3,79 = 3.222, p = 0.027]. Subsequently, the Mann–Whitney test indicated that CNT males exhibited a progressive increase in both latency and distance over the course of the trials (latency: trial 1 (p = 0.806), trial 2 (p = 0.051), trial 3 (p = 0.019), and trial 4 (p = 0.005); distance: trial 1 (p = 0.915), trial 2 (p = 0.043), trial 3 (p = 0.019), and trial 4 (p = 0.021)), suggesting reduced efficiency in locating the visible platform (Supplementary Figure S6A,B). As both latency and distance showed the same pattern of results, only latency is presented in the Supplementary Materials as a representative metric. To better analyze these effects, we performed a paired sample t-test with the time in the TQ during the visual vs. the time in the TQ during reversal and acquisition. Supplementary Figure S6C showed that CNT male mice spent significantly more time in the TQ where the platform was located during the reversal, rather than in the TQ where the platform was located during the visual phase (TQ visual vs. TQ reversal: trial 1 [t24 = −0.692, p = 0.495], trial 2 [t24 = −2.331, p = 0.028], trial 3 [t24 = −2.137, p = 0.043], and trial 4 [t24 = −2.773, p = 0.011]). This indicates a perseverative behavior and reliance on previously learned spatial strategies, even when visual cues were available. In contrast, all other significant differences observed were due to increased time spent in the TQ of the visual phase, suggesting appropriate task adaptation. Notably, this perseverative pattern was not observed during other MWM phases, highlighting that the effect is specific to the visual phase where spatial memory should be overridden by visual cues.
3.5. Prenatal Exposure to CPF Affects Total DNA Methylation in a Sex-Dependent Manner
Based on the results obtained in behavioral tests, we performed the analysis of global DNA methylation only on the hippocampus of apoE mice. Hippocampal samples were collected 24 h after the MWM test, considering the central role of this brain area in both anxiety-like behaviors and learning and memory. Given the exploratory nature of this analysis, we aimed to assess the potential of prenatal CPF exposure as an epigenetically active compound that may influence DNA methylation patterns in adulthood.
Statistical analysis using a univariate three-way ANOVA with sex, treatment, and genotype as the main variables indicated that prenatal exposure to CPF affects global DNA methylation depending on sex [F1,38 = 4.991, p = 0.033]. To further analyze this interaction, we performed a two-sample t-test with treatment as the independent variable, and significant hypomethylation in male mice prenatally treated with CPF [t18 = 2.594, p = 0.018] (Figure 7) emerged. In contrast, no significant differences were found between CNT and treated females [t17 = −0.750, p = 0.468], supporting a sex-specific effect of CPF exposure (Figure 7).
Figure 7.
Global DNA methylation in apoE mice. The symbol # indicates significant differences between treatments at p < 0.05.
4. Discussion
An increasing body of evidence indicates that environmental exposures from the prenatal stage onward constitute modifiable risk factors for a wide range of neurodevelopmental and neurodegenerative disorders. In this study, we investigated the long-term detrimental effects of prenatal exposure to CPF, as well as the influence of the APOE genotype on anxiety and learning and memory using a transgenic mouse model carrying the human APOE ε3 and ε4 alleles. Moreover, we evaluated the potential effects of CPF as a methylating agent on global DNA methylation in a transgenic mouse model carrying most common APOE genotype.
Specifically, male and female C57BL/6J, apoE3 and apoE4 mice that were indirectly treated with low doses of CPF during gestation were evaluated at the age of three months. Light and dark and MWM tests were performed to investigate anxiety-like behavior and early learning and memory impairments. Briefly, body weight was lower in female mice and in those treated with CPF, especially on PND 60. In terms of anxiety-like behavior, although C57BL/6J males spend less time in the light compartment, prenatal CPF exposure increased their activity, as evidenced by an increased number of crossings in that sex. In the same line, only transgenic male mice carrying the human APOE ε4 or ε3 allele were affected in. Indeed, mice that were prenatally dosed with CPF spent more time in the light compartment, showed shorter latencies to enter it, and carried out more crossings, indicating increased activity, while females were unaffected. Moreover, a general effect of genotype was observed, with APOE ε4 spending more time in the light compartment. Regarding the MWM test, all mice successfully acquired the task by day 5, but females carrying the APOE ε4 allele performed worse during the first three days. Moreover, both short- and long-term memory were impaired in apoE4 females that were prenatally treated with CPF. Together with these behavioral results, we found changes in the methylation pattern in males dosed with CPF.
Exposure to CPF has been related to an increased incidence of obesity in recent decades, due to its obesogenic effects [59]. By contrast, our results showed that prenatal CPF exposure during the late gestational period reduced body weight on PND 60. However, this difference was no longer evident at later ages, as body weight normalized over time across groups. A previous study conducted in our laboratory found that exposure to CPF from GD 12 to 18 at a dose below the toxicity threshold (1 mg/kg) produced a decrease in body weight that persisted until weaning [58]. Another study involving a longer exposure period (from GD 7 to the end of lactation (PND 21)) and a higher dose of CPF (2.5 mg/kg/day) in rats, indicated that male offspring had a higher body weight than the CNT group after weaning, while the weight of females remained unchanged [60]. Along these lines, postnatal exposure to CPF has been strongly associated with increased body weight in both male and female rodents [53,61,62]. This increase was most evident in 5-month-old apoE3 and apoE4 animals treated during the pre-weaning period and then given a further dose of 2 mg/kg/day of CPF for 15 days [53]. Thus, the data suggest that the impact of CPF on body weight depends critically on the timing and duration of exposure, with more pronounced obesogenic effects observed when the exposure occurs during postnatal development. However, further research is needed to investigate the consequences of repeated CPF exposure across the lifespan and to determine what underlying mechanisms exist at each stage of life that may lead to weight gain in certain times and weight loss at others, or that may modify the long-term metabolic effects associated with early life exposure.
Notable differences were observed in anxiety-related and cognitive behavior. Anxiety disorders are becoming increasingly prevalent in the population due to the current lifestyle. Javaid et al. [63] revealed a global prevalence of anxiety disorders around 4.05%, with a peak at 35–39 years of age, being aggravated by exposure to environmental toxicants or by genetic polymorphisms. The light and dark test mimics natural rodent behavior, and rodents tend to avoid brightly lit spaces and prefer the safety of dark environments. However, rodents are curious and may explore the lighted area [64]. Regarding C57BL/6J mice, CPF exposure has a sex-dependent effect, increasing the number of inter-compartment crossings only in males, suggesting enhanced activity. Similar effects have been observed in apoE mice, where prenatal pesticide exposure led to an increased number of crossings and the time spent in the light compartment in apoE males. Simultaneously, these animals also showed reduced latency in switching from the dark to the light compartment. This suggests that apoE males exhibit a hyperactive behavioral profile following prenatal pesticide exposure characterized by increased exploratory behavior and reduced hesitation. Although some studies have investigated the interaction between CPF and APOE genotype in anxiety-related behaviors, sex differences in this context remains unexplored [65]. However, earlier studies by Ricceri et al. [23,66] have reported increased activity following CPF exposure. Specifically, CD-1 male mice exposed to 3 mg/kg/day of CPF between PND 11 and 14 showed hyperactivity during the weaning period (PND 25) [66]. Subsequent studies confirmed that gestational exposure to CPF at doses of 3 or 6 mg/kg/day produced a pronounced hyperactivating effect on adult male CD-1 mice. This heightened activity was maintained in those animals that had received the higher prenatal dose and were later re-dosed with CPF (1 mg/kg/day) during the postnatal period (from PND 11 to 14) [23]. Thus, gestational exposure to CPF leads to long-lasting and sex-dependent alterations resulting in exaggerated activity levels, with male mice exhibiting a greater vulnerability.
Regarding APOE polymorphism, animals carrying the APOE ε4 allele spent more time in the light compartment compared to APOE ε3 carriers, a pattern also observed in C57BL/6J females. Although this behavior might initially suggest reduced anxiety-like responses, the interpretation becomes more complex when considering that increased time in the light compartment could also reflect a lack of movement or a freezing response rather than active exploration. Similarly, the time spent in the light compartment could reflect altered activity levels, highlighting the importance of considering locomotor and exploratory behaviors when interpreting outcomes in this test. In supporting this, a previous study found that animals carrying the human APOE ε4 allele showed a higher number of freezing episodes in the open area of the elevated plus maze test compared to APOE ε2 and ε3 carriers, as well as lower activity and number of crossings or head-dips [67]. In addition, lower distance and velocity in the central area of an open field test were observed in apoE4 mice [58]. Sex differences in anxiety-like behaviors have also been reported by Börchers et al. [68], who found that 23-week-old female rats spent significantly more time in open or anxiogenic areas of both the elevated plus maze and the open field tests. These findings reinforce the idea that both sex and genotype significantly influence the interpretation of anxiety-related behaviors and that multiple variables must be considered for a rigorous and accurate analysis.
Given that the APOE genotype has a strong association with AD, particularly the ε4 allele. This study assessed the effects of APOE polymorphism and CPF pesticide exposure on spatial learning and memory using the MWM test, which relies on rodents’ natural aversion to water and their preference to escape [69,70]. C57BL/6J mice showed a good acquisition of the task over the five days, with males treated prenatally with CPF finding the platform more quickly. Furthermore, all animals remembered the location of the platform in all cases. Similarly, humanized apoE mice learned the task over the five days; however, apoE4 females exhibited slower performance, especially during the first three days. Homozygous apoE4 mice also showed both short- and long-term memory impairments, which were further aggravated by prenatal CPF exposure. Moreover, mice with the APOE4 genotype performed the worst in remembering the platform’s new location. Previous studies using an object recognition test, indicated that 2-month-old APOE ε4 carriers treated with CPF (1 mg/kg/day) during a defined period of postnatal phase (from PND 10 to 15) showed impairments in recognition memory, evidenced by reduced discrimination between familiar and novel object [71]. Similarly, exposure to the same dose and during the same period in 9-month-old apoE4 mice revealed that CPF-treated males showed irregular performance, while apoE4 females had impaired recall. This impairment was further worsened by postnatal CPF exposure, particularly at the end of the MWM task [51]. These findings support the synergistic effect of the APOE4 genotype and CPF exposure during sensitive windows of brain development on later cognitive decline, with more severe consequence in females. This behavioral profile may be linked to developmental AChE inhibition by CPF, which dysregulates cholinergic signaling. In apoE4 mice, this disruption is exacerbated by a pre-existing lower cholinergic density and reduced AChE levels, leading to the observed cognitive deficits [72]. Therefore, when assessing the neurobehavioral effects of toxic agents in both preclinical models and epidemiological studies, the time of toxic exposure, genetic profile and sex are key factors to consider. In conclusion, these results provide evidence supporting that the APOE ε4 allele not only predispose or represents a distinct genetic form to the development of neurodegenerative pathologies such as AD [73,74] but also increases sensitivity to environmental factors such as pesticides.
Sex-dependent differences observed in learning and memory were also observed in global DNA methylation, but in this case, CPF-treated males showed lower levels. These alterations in the pattern of DNA methylation resulted in the dysregulation of gene networks associated with neurodevelopmental and neurodegenerative disorders, which can lead to long-term cognitive and behavioral alterations [75,76]. Notably, in our case, males prenatally exposed to CPF also exhibited more pronounced behavioral effects related to hyperactivity. The hippocampus plays a central role in regulating emotions and stress responses, especially in males [77]. Thus, reduced global methylation could increase transcription of activity-dependent and synaptic genes—such as neurotrophic factors, glutamatergic receptor subunits, dopaminergic signaling genes, or stress regulators—thereby providing mechanistic explanation for the hyperactivity observed in CPF-exposed males, a finding that aligns with human studies linking exposure to OP pesticides with genome-wide methylation modifications in several genes [78,79]. To date, only one study has directly examined the effect of CPF exposure in relation to the APOE genotype on DNA methylation levels, highlighting that this is an unexplored area of research that is attracting increasing interest [55]. Unlike our study, Guardia-Escote et al. [55] investigated specific methylation patterns of genes involved in feeding control in the hypothalamus. Male apoE mice treated with a low dose of CPF from PND 10 to 15 showed higher methylation levels in genes such as Pomc or Lepr, while the mean methylation of Npy was decreased. These findings are consistent with previous studies that have suggested males may be more vulnerable to epigenetic reprogramming during critical periods of development [80]. As highlighted by Kundakovic and Tickerhoof [81], male and female brains exhibit different epigenetic patterns shaped by genetic and hormonal factors that modulate the effect of environmental toxin exposure on neurodevelopment and behavior.
In summary, this study highlights the significant impact of the interaction between genetic factors such as the APOE polymorphism and prenatal environmental exposure to CPF on neurobehavioral development, with clear sex-dependent effects. The presence of two APOE ε4 copies was associated with spatial learning and memory impairments, which were further exacerbated by CPF exposure. Prenatal CPF exposure also led to a reduction in body weight, increased the activity in the light and dark test, and induced hypomethylation in males. These epigenetic changes suggest that CPF may act as a modulatory factor of the epigenome. Together, these findings reveal that early prenatal exposure, limited to embryonic development, is sufficient to trigger long-lasting neurobehavioral alterations. Overall, this research emphasizes the importance of considering genetic background, timing of exposure, and sex as key variables when assessing the neurobehavioral effects of toxic agents. Furthermore, it opens promising avenues for investigating epigenetic mechanisms as mediators of gene–environment interactions, which impact cognitive and emotional outcomes.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/toxics14030212/s1. Figure S1. Body weight in C57BL/6J mice. CPF-treated mice showed overall reduced body weight compared to CNTs (age × treatment [F3,36 = 3.669, p = 0.021]), with a significant difference observed at PND 60 [t40 = 3.061, p = 0.004]; Figure S2. Body weight in apoE-TR mice. CPF-treated mice showed overall reduced body weight compared to CNTs (age × treatment [F3,80 = 2.827, p = 0.044]), with a significant difference observed at PND 60 [t89 = 2.613, p = 0.011]; Figure S3. Retention phase of the MWM test in C57BL/6J mice. A general sex × treatment interaction was found [F1,38 = 9.381, p = 0.004], with male mice exposed to CPF being faster to reach the platform than CNT group [t20 = 4,726, p < 0.001]; Figure S4. Visual phase of the MWM test in C57BL/6J mice. The latency to reach the visible platform did not differ significantly across trials [F3,38 = 0.652, p = 0.586], nor were there significant interactions with sex, [F3,38 = 1.241, p = 0.308], treatment [F3,38 = 1.040, p = 0.386] or their combination (trial × sex × treatment) [F3,38 = 1.363, p = 0.269], indicating intact visual and motor capabilities between groups; Figure S5. Acquisition in the MWM test. A day × genotype interaction was found [F4,78 = 11.738, p < 0.001], with homozygous mice for the human APOE ε4 allele showed slower learning than APOE ε3 carriers. Mann-Whitney U test revealed that this difference was significant during the first three days of the test (day 1 and 2 (p < 0.001) and day 3 (p = 0.008)); Figure S6. Visual phase of the MWM test in apoE-TR mice. A sex × treatment interaction was observed [F3,79 = 4.423, p = 0.006]. The U de Mann-Whitney test indicated that CNT males showed a progressive increase through the performance of trials (trial 1 (p = 0.806), trial 2 (p = 0.051), trial 3 (p = 0.019) and trial 4 (p = 0.005)).
Author Contributions
Conceptualization, F.S.-S. and M.T.C.; methodology, J.B.-B., L.G.-E., and P.B.; data curation, J.B.-B.; writing—original draft preparation, J.B.-B.; writing—review and editing, L.G.-E., J.B., M.C., P.B., F.S.-S., J.L.D., and M.T.C.; project administration, M.T.C.; funding acquisition, F.S.-S. and M.T.C. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Martí Franquès Grant Program—Doctoral modality, grant number 2019PMF-PIPF-28 and the Spanish Government (Ministry of the Economy and Competitiveness (MINECO, Spain) (Reference: PSI2017-86847-C2-R).
Institutional Review Board Statement
The animal study protocol was conducted in accordance with the Spanish Royal Decree 53/2013 on the protection of experimental animals and the European Communities Council Directive (86/609/EEC). It was also carried out conforming to the ARRIVE Guidelines [57], approved by the Animal Care and Use Committee of the Rovira and Virgili University and assigned an authorization code (10735) by the Government of Catalonia on 7 December 2019.
Informed Consent Statement
Not applicable.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors on request.
Acknowledgments
The authors would like to thank Celeste di Paolo, Esperanza Chernichero, and Juan Valencia for their technical support with animal care.
Conflicts of Interest
The authors declare no conflicts of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| ACh | Acetylcholine |
| AChE | Acetylcholinesterase |
| AD | Alzheimer disease |
| ANOVA | Analysis of variance |
| APOE | Apolipoprotein E |
| CNS | Centra nervous system |
| CNT | Control |
| CPF | Chlorpyrifos |
| DDT | Dichlorodiphenyltrichloroethane |
| GD | Gestational day |
| MWM | Morris water maze |
| OP | Organophosphate |
| PND | Postnatal day |
| RM | Repeated measures |
| TQ | Target quadrant |
| TR | Target replacement |
References
- Tudi, M.; Daniel Ruan, H.; Wang, L.; Lyu, J.; Sadler, R.; Connell, D.; Chu, C.; Phung, D.T. Agriculture Development, Pesticide Application and Its Impact on the Environment. Int. J. Environ. Res. Public Health 2021, 18, 1112. [Google Scholar] [CrossRef] [Scilit]
- Burgos-Aceves, M.A.; Migliaccio, V.; Di Gregorio, I.; Paolella, G.; Lepretti, M.; Faggio, C.; Lionetti, L. 1,1,1-Trichloro-2,2-Bis (p-Chlorophenyl)-Ethane (DDT) and 1,1-Dichloro-2,2-Bis (p, p’-Chlorophenyl) Ethylene (DDE) as Endocrine Disruptors in Human and Wildlife: A Possible Implication of Mitochondria. Environ. Toxicol. Pharmacol. 2021, 87, 103684. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Soltaninejad, K.; Shadnia, S. History of the use and epidemiology of organophosphorus poisoning. In Basic and Clinical Toxicology of Organophosphorus Compounds; Balali-Mood, M., Abdollahi, M., Eds.; Springer: London, UK, 2014; pp. 25–43. [Google Scholar]
- Ubaid ur Rahman, H.; Asghar, W.; Nazir, W.; Sandhu, M.A.; Ahmed, A.; Khalid, N. A Comprehensive Review on Chlorpyrifos Toxicity with Special Reference to Endocrine Disruption: Evidence of Mechanisms, Exposures and Mitigation Strategies. Sci. Total Environ. 2021, 755, 142649. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- US Environmental Protection Agency. Human Health Risk Assessment: Chlorpyrifos; US Environmental Protection Agency: Washington, DC, USA, 2008. [Google Scholar]
- US Environmental Protection Agency. The Use of Data on Cholinesterase Inhibition for Risk Assessments of Organophosphorous and Carbamate Pesticides; US Environmental Protection Agency: Washington, DC, USA, 2000. [Google Scholar]
- Casida, J.E. Organophosphorus Xenobiotic Toxicology. Annu. Rev. Pharmacol. Toxicol. 2017, 57, 309–327. [Google Scholar] [CrossRef] [Scilit]
- Silva, M.H. Effects of Low-Dose Chlorpyrifos on neurobehavior and Potential Mechanisms: A Review of studies in Rodents, Zebrafish, and Caenorhabditis elegans. Birth Defects Res. 2020, 112, 445–479. [Google Scholar] [CrossRef] [Scilit]
- Rauh, V.A.; Garfinkel, R.; Perera, F.P.; Andrews, H.F.; Hoepner, L.; Barr, D.B.; Whitehead, R.; Tang, D.; Whyatt, R.W. Impact of Prenatal Chlorpyrifos Exposure on Neurodevelopment in the First 3 Years of Life Among Inner-City Children. Pediatrics 2006, 118, e1845–e1859. [Google Scholar] [CrossRef] [Scilit]
- Sanghi, R.; Pillai, M.K.K.; Jayalekshmi, T.R.; Nair, A. Organochlorine and Organophosphorus Pesticide Residues in Breast Milk from Bhopal, Madhya Pradesh, India. Hum. Exp. Toxicol. 2003, 22, 73–76. [Google Scholar] [CrossRef] [Scilit]
- Saunders, M.; Magnanti, B.L.; Correia Carreira, S.; Yang, A.; Alamo-Hernández, U.; Riojas-Rodriguez, H.; Calamandrei, G.; Koppe, J.G.; Krayer von Krauss, M.; Keune, H.; et al. Chlorpyrifos and Neurodevelopmental Effects: A Literature Review and Expert Elicitation on Research and Policy. Environ. Health 2012, 11, S5. [Google Scholar] [CrossRef] [Scilit]
- Moser, V.C. Dose–Response and Time-Course of Neurobehavioral Changes Following Oral Chlorpyrifos in Rats of Different Ages. Neurotoxicol. Teratol. 2000, 22, 713–723. [Google Scholar] [CrossRef] [Scilit]
- Costa, L.G.; Cole, T.B.; Vitalone, A.; Furlong, C.E. Measurement of Paraoxonase (PON1) Status as a Potential Biomarker of Susceptibility to Organophosphate Toxicity. Clin. Chim. Acta 2005, 352, 37–47. [Google Scholar] [CrossRef] [Scilit]
- de Graaf-Peters, V.B.; Hadders-Algra, M. Ontogeny of the Human Central Nervous System: What Is Happening When? Early Hum. Dev. 2006, 82, 257–266. [Google Scholar] [CrossRef] [Scilit]
- Basaure, P.; Guardia-Escote, L.; Cabré, M.; Peris-Sampedro, F.; Sánchez-Santed, F.; Domingo, J.L.; Colomina, M.T. Postnatal Chlorpyrifos Exposure and Apolipoprotein E (APOE) Genotype Differentially Affect Cholinergic Expression and Developmental Parameters in Transgenic Mice. Food Chem. Toxicol. 2018, 118, 42–52. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Savy, C.Y.; Fitchett, A.E.; McQuade, R.; Gartside, S.E.; Morris, C.M.; Blain, P.G.; Judge, S.J. Low-Level Repeated Exposure to Diazinon and Chlorpyrifos Decrease Anxiety-like Behaviour in Adult Male Rats as Assessed by Marble Burying Behaviour. Neurotoxicology 2015, 50, 149–156. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- De Felice, A.; Greco, A.; Calamandrei, G.; Minghetti, L. Prenatal Exposure to the Organophosphate Insecticide Chlorpyrifos Enhances Brain Oxidative Stress and Prostaglandin E2 Synthesis in a Mouse Model of Idiopathic Autism. J. Neuroinflamm. 2016, 13, 149. [Google Scholar] [CrossRef] [Scilit]
- De Felice, A.; Venerosi, A.; Ricceri, L.; Sabbioni, M.; Scattoni, M.L.; Chiarotti, F.; Calamandrei, G. Sex-Dimorphic Effects of Gestational Exposure to the Organophosphate Insecticide Chlorpyrifos on Social Investigation in Mice. Neurotoxicol. Teratol. 2014, 46, 32–39. [Google Scholar] [CrossRef] [Scilit]
- Lan, A.; Kalimian, M.; Amram, B.; Kofman, O. Prenatal Chlorpyrifos Leads to Autism-like Deficits in C57Bl6/J Mice. Environ. Health 2017, 16, 43. [Google Scholar] [CrossRef] [Scilit]
- Venerosi, A.; Ricceri, L.; Scattoni, M.L.; Calamandrei, G. Prenatal Chlorpyrifos Exposure Alters Motor Behavior and Ultrasonic Vocalization in Cd-1 Mouse Pups. Environ. Health 2009, 8, 12. [Google Scholar] [CrossRef] [Scilit]
- Venerosi, A.; Ricceri, L.; Rungi, A.; Sanghez, V.; Calamandrei, G. Gestational Exposure to the Organophosphate Chlorpyrifos Alters Social–Emotional Behaviour and Impairs Responsiveness to the Serotonin Transporter Inhibitor Fluvoxamine in Mice. Psychopharmacology 2010, 208, 99–107. [Google Scholar] [CrossRef] [Scilit]
- Venerosi, A.; Tait, S.; Stecca, L.; Chiarotti, F.; De Felice, A.; Cometa, M.F.; Volpe, M.T.; Calamandrei, G.; Ricceri, L. Effects of Maternal Chlorpyrifos Diet on Social Investigation and Brain Neuroendocrine Markers in the Offspring—A Mouse Study. Environ. Health 2015, 14, 32. [Google Scholar] [CrossRef] [Scilit]
- Ricceri, L.; Venerosi, A.; Capone, F.; Cometa, M.F.; Lorenzini, P.; Fortuna, S.; Calamandrei, G. Developmental Neurotoxicity of Organophosphorous Pesticides: Fetal and Neonatal Exposure to Chlorpyrifos Alters Sex-Specific Behaviors at Adulthood in Mice. Toxicol. Sci. 2006, 93, 105–113. [Google Scholar] [CrossRef] [Scilit]
- Lan, A.; Stein, D.; Portillo, M.; Toiber, D.; Kofman, O. Impaired Innate and Conditioned Social Behavior in Adult C57Bl6/J Mice Prenatally Exposed to Chlorpyrifos. Behav. Brain Funct. 2019, 15, 2. [Google Scholar] [CrossRef] [Scilit]
- Biosca-Brull, J.; Guardia-Escote, L.; Blanco, J.; Basaure, P.; Cabré, M.; Sánchez-Santed, F.; Domingo, J.L.; Colomina, M.T. Prenatal, but Not Postnatal Exposure to Chlorpyrifos Affects Social Behavior of Mice and the Excitatory-Inhibitory Balance in a Sex-Dependent Manner. Food Chem. Toxicol. 2022, 169, 113423. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Morales-Navas, M.; Castaño-Castaño, S.; Pérez-Fernández, C.; Sánchez-Gil, A.; Teresa Colomina, M.; Leinekugel, X.; Sánchez-Santed, F. Similarities between the Effects of Prenatal Chlorpyrifos and Valproic Acid on Ultrasonic Vocalization in Infant Wistar Rats. Int. J. Environ. Res. Public Health 2020, 17, 6376. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Levin, E.D.; Addy, N.; Baruah, A.; Elias, A.; Christopher, N.C.; Seidler, F.J.; Slotkin, T.A. Prenatal Chlorpyrifos Exposure in Rats Causes Persistent Behavioral Alterations. Neurotoxicol. Teratol. 2002, 24, 733–741. [Google Scholar] [CrossRef] [Scilit]
- Icenogle, L. Behavioral Alterations in Adolescent and Adult Rats Caused by a Brief Subtoxic Exposure to Chlorpyrifos during Neurulation. Neurotoxicol. Teratol. 2004, 26, 95–101. [Google Scholar] [CrossRef] [Scilit]
- US Environmental Protection Agency. Interim Reregistration Eligibility Decision for Naled; US Environmental Protection Agency: Washington, DC, USA, 2002. [Google Scholar]
- US Environmental Protection Agency. Reregistration Eligibility Decision for Dichlorvos (DDVP); US Environmental Protection Agency: Washington, DC, USA, 2006. [Google Scholar]
- Eaton, D.L.; Daroff, R.B.; Autrup, H.; Bridges, J.; Buffler, P.; Costa, L.G.; Coyle, J.; McKhann, G.; Mobley, W.C.; Nadel, L.; et al. Review of the Toxicology of Chlorpyrifos with an Emphasis on Human Exposure and Neurodevelopment. Crit. Rev. Toxicol. 2008, 38, 1–125. [Google Scholar] [CrossRef] [Scilit]
- European Food Safety Authority (EFSA). Statement on the Available Outcomes of the Human Health Assessment in the Context of the Pesticides Peer Review of the Active Substance Chlorpyrifos. EFSA J. 2019, 17, e05809. [Google Scholar] [CrossRef] [Scilit]
- Environmental Protection Agency. Chlorpyrifos; Tolerance Revocations; Federal Register; Rules and Regulations; Environmental Protection Agency: Washington, DC, USA, 2021; Volume 86, pp. 21–42. [Google Scholar]
- Georgieva, E.; Yancheva, V.; Stoyanova, S.; Velcheva, I.; Iliev, I.; Vasileva, T.; Bivolarski, V.; Petkova, E.; László, B.; Nyeste, K.; et al. Which Is More Toxic? Evaluation of the Short-Term Toxic Effects of Chlorpyrifos and Cypermethrin on Selected Biomarkers in Common Carp (Cyprinus carpio, Linnaeus 1758). Toxics 2021, 9, 125. [Google Scholar] [CrossRef] [Scilit]
- Rauh, V.A.; Margolis, A.E. Research Review: Environmental Exposures, Neurodevelopment, and Child Mental Health—New Paradigms for the Study of Brain and Behavioral Effects. J. Child Psychol. Psychiatry 2016, 57, 775–793. [Google Scholar] [CrossRef] [Scilit]
- Fan, J.; Tao, W.; Li, X.; Li, H.; Zhang, J.; Wei, D.; Chen, Y.; Zhang, Z. The Contribution of Genetic Factors to Cognitive Impairment and Dementia: Apolipoprotein E Gene, Gene Interactions, and Polygenic Risk. Int. J. Mol. Sci. 2019, 20, 1177. [Google Scholar] [CrossRef] [Scilit]
- Eisenberg, D.T.A.; Kuzawa, C.W.; Hayes, M.G. Worldwide Allele Frequencies of the Human Apolipoprotein E Gene: Climate, Local Adaptations, and Evolutionary History. Am. J. Phys. Anthropol. 2010, 143, 100–111. [Google Scholar] [CrossRef] [Scilit]
- Hatters, D.M.; Peters-Libeu, C.A.; Weisgraber, K.H. Apolipoprotein E Structure: Insights into Function. Trends Biochem. Sci. 2006, 31, 445–454. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bekris, L.M.; Yu, C.-E.; Bird, T.D.; Tsuang, D.W. Genetics of Alzheimer Disease. J. Geriatr. Psychiatry Neurol. 2010, 23, 213–227. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zannis, V.I.; Breslow, J.L.; Utermann, G.; Mahley, R.W.; Weisgraber, K.H.; Havel, R.J.; Goldstein, J.L.; Brown, M.S.; Schonfeld, G.; Hazzard, W.R.; et al. Proposed Nomenclature of ApoE Isoproteins, ApoE Genotypes, and Phenotypes. J. Lipid Res. 1982, 23, 911–914. [Google Scholar] [CrossRef] [Scilit]
- Mahley, R.W.; Rall, S.C. Apolipoprotein E: Far More Than a Lipid Transport Protein. Annu. Rev. Genom. Hum. Genet. 2000, 1, 507–537. [Google Scholar] [CrossRef] [Scilit]
- Dietschy, J.M.; Turley, S.D. Brain Lipids. Cholesterol Metabolism in the Central Nervous System during Early Development and in the Mature Animal. J. Lipid Res. 2004, 45, 1375–1397. [Google Scholar] [CrossRef] [Scilit]
- Vance, J.E.; Hayashi, H. Formation and Function of Apolipoprotein E-Containing Lipoproteins in the Nervous System. Biochim. Et Biophys. Acta (BBA) Mol. Cell Biol. Lipids 2010, 1801, 806–818. [Google Scholar] [CrossRef] [Scilit]
- Caselli, R.J.; Dueck, A.C.; Osborne, D.; Sabbagh, M.N.; Connor, D.J.; Ahern, G.L.; Baxter, L.C.; Rapcsak, S.Z.; Shi, J.; Woodruff, B.K.; et al. Longitudinal Modeling of Age-Related Memory Decline and the APOE Ε4 Effect. N. Engl. J. Med. 2009, 361, 255–263. [Google Scholar] [CrossRef] [Scilit]
- Wright, R.O.; Hu, H.; Silverman, E.K.; Tsaih, S.W.; Schwartz, J.; Bellinger, D.; Palazuelos, E.; Weiss, S.T.; Hernandez-Avila, M. Apolipoprotein E Genotype Predicts 24-Month Bayley Scales Infant Development Score. Pediatr. Res. 2003, 54, 819–825. [Google Scholar] [CrossRef] [Scilit]
- Champagne, D.; Dupuy, J.-B.; Rochford, J.; Poirier, J. Apolipoprotein E Knockout Mice Display Procedural Deficits in the Morris Water Maze: Analysis of Learning Strategies in Three Versions of the Task. Neuroscience 2002, 114, 641–654. [Google Scholar] [CrossRef] [Scilit]
- East, B.S.; Fleming, G.; Peng, K.; Olofsson, J.K.; Levy, E.; Mathews, P.M.; Wilson, D.A. Human Apolipoprotein E Genotype Differentially Affects Olfactory Behavior and Sensory Physiology in Mice. Neuroscience 2018, 380, 103–110. [Google Scholar] [CrossRef] [Scilit]
- Meng, F.-T.; Zhao, J.; Fang, H.; Liu, Y.-J. The Influence of Chronic Stress on Anxiety-like Behavior and Cognitive Function in Different Human GFAP-ApoE Transgenic Adult Male Mice. Stress 2015, 18, 419–426. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zhang, J.; Lin, L.; Dai, X.; Xiao, N.; Ye, Q.; Chen, X. ApoE4 Increases Susceptibility to Stress-Induced Age-Dependent Depression-like Behavior and Cognitive Impairment. J. Psychiatr. Res. 2021, 143, 292–301. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Engstrom, A.K.; Snyder, J.M.; Maeda, N.; Xia, Z. Gene-Environment Interaction between Lead and Apolipoprotein E4 Causes Cognitive Behavior Deficits in Mice. Mol. Neurodegener. 2017, 12, 14. [Google Scholar] [CrossRef] [Scilit]
- Guardia-Escote, L.; Basaure, P.; Blanco, J.; Cabré, M.; Pérez-Fernández, C.; Sánchez-Santed, F.; Domingo, J.L.; Colomina, M.T. Postnatal Exposure to Chlorpyrifos Produces Long-Term Effects on Spatial Memory and the Cholinergic System in Mice in a Sex- and APOE Genotype-Dependent Manner. Food Chem. Toxicol. 2018, 122, 1–10. [Google Scholar] [CrossRef] [Scilit]
- Peris-Sampedro, F.; Reverte, I.; Basaure, P.; Cabré, M.; Domingo, J.L.; Colomina, M.T. Apolipoprotein E (APOE) Genotype and the Pesticide Chlorpyrifos Modulate Attention, Motivation and Impulsivity in Female Mice in the 5-Choice Serial Reaction Time Task. Food Chem. Toxicol. 2016, 92, 224–235. [Google Scholar] [CrossRef] [Scilit]
- Basaure, P.; Guardia-Escote, L.; Cabré, M.; Peris-Sampedro, F.; Sánchez-Santed, F.; Domingo, J.L.; Colomina, M.T. Learning, Memory and the Expression of Cholinergic Components in Mice Are Modulated by the Pesticide Chlorpyrifos Depending upon Age at Exposure and Apolipoprotein E (APOE) Genotype. Arch. Toxicol. 2019, 93, 693–707. [Google Scholar] [CrossRef] [Scilit]
- Baccarelli, A.; Bollati, V. Epigenetics and Environmental Chemicals. Curr. Opin. Pediatr. 2009, 21, 243–251. [Google Scholar] [CrossRef] [Scilit]
- Guardia-Escote, L.; Blanco, J.; Basaure, P.; Biosca-Brull, J.; Verkaik-Schakel, R.N.; Cabré, M.; Peris-Sampedro, F.; Pérez-Fernández, C.; Sánchez-Santed, F.; Plösch, T.; et al. Sex and Exposure to Postnatal Chlorpyrifos Influence the Epigenetics of Feeding-Related Genes in a Transgenic APOE Mouse Model: Long-Term Implications on Body Weight after a High-Fat Diet. Int. J. Environ. Res. Public Health 2020, 18, 184. [Google Scholar] [CrossRef] [Scilit]
- Sullivan, P.M.; Mezdour, H.; Aratani, Y.; Knouff, C.; Najib, J.; Reddick, R.L.; Quarfordt, S.H.; Maeda, N. Targeted Replacement of the Mouse Apolipoprotein E Gene with the Common Human APOE3 Allele Enhances Diet-Induced Hypercholesterolemia and Atherosclerosis. J. Biol. Chem. 1997, 272, 17972–17980. [Google Scholar] [CrossRef] [Scilit]
- Rice, D.; Barone, S. Critical Periods of Vulnerability for the Developing Nervous System: Evidence from Humans and Animal Models. Environ. Health Perspect. 2000, 108, 511–533. [Google Scholar] [CrossRef] [Scilit]
- Biosca-Brull, J.; Basaure, P.; Guardia-Escote, L.; Cabré, M.; Blanco, J.; Morales-Navas, M.; Sánchez-Santed, F.; Colomina, M.T. Environmental Exposure to Chlorpyrifos during Gestation, APOE Polymorphism and the Risk on Autistic-like Behaviors. Environ. Res. 2023, 237, 116969. [Google Scholar] [CrossRef] [Scilit]
- Blanco, J.; Guardia-Escote, L.; Mulero, M.; Basaure, P.; Biosca-Brull, J.; Cabré, M.; Colomina, M.T.; Domingo, J.L.; Sánchez, D.J. Obesogenic Effects of Chlorpyrifos and Its Metabolites during the Differentiation of 3T3-L1 Preadipocytes. Food Chem. Toxicol. 2020, 137, 111171. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lassiter, T.L.; Brimijoin, S. Rats Gain Excess Weight after Developmental Exposure to the Organophosphorothionate Pesticide, Chlorpyrifos. Neurotoxicol. Teratol. 2008, 30, 125–130. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Meggs, W.J.; Brewer, K.L. Weight Gain Associated with Chronic Exposure to Chlorpyrifos in Rats. J. Med. Toxicol. 2007, 3, 89–93. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Peris-Sampedro, F.; Cabré, M.; Basaure, P.; Reverte, I.; Domingo, J.L.; Teresa Colomina, M. Adulthood Dietary Exposure to a Common Pesticide Leads to an Obese-like Phenotype and a Diabetic Profile in ApoE3 Mice. Environ. Res. 2015, 142, 169–176. [Google Scholar] [CrossRef] [Scilit]
- Javaid, S.F.; Hashim, I.J.; Hashim, M.J.; Stip, E.; Samad, M.A.; Ahbabi, A. Al Epidemiology of Anxiety Disorders: Global Burden and Sociodemographic Associations. Middle East Curr. Psychiatry 2023, 30, 44. [Google Scholar] [CrossRef] [Scilit]
- Arrant, A.E.; Schramm-Sapyta, N.L.; Kuhn, C.M. Use of the Light/Dark Test for Anxiety in Adult and Adolescent Male Rats. Behav. Brain Res. 2013, 256, 119–127. [Google Scholar] [CrossRef] [Scilit]
- Peris-Sampedro, F.; Guardia-Escote, L.; Basaure, P.; Cabré, M.; Colomina, M.T. Improvement of APOE4-Dependent Non-Cognitive Behavioural Traits by Postnatal Cholinergic Stimulation in Female Mice. Behav. Brain Res. 2020, 384, 112552. [Google Scholar] [CrossRef] [Scilit]
- Ricceri, L.; Markina, N.; Valanzano, A.; Fortuna, S.; Cometa, M.F.; Meneguz, A.; Calamandrei, G. Developmental Exposure to Chlorpyrifos Alters Reactivity to Environmental and Social Cues in Adolescent Mice. Toxicol. Appl. Pharmacol. 2003, 191, 189–201. [Google Scholar] [CrossRef] [Scilit]
- Reverte, I.; Pujol, A.; Domingo, J.L.; Colomina, M.T. Thyroid Hormones and Fear Learning but Not Anxiety Are Affected in Adult ApoE Transgenic Mice Exposed Postnatally to Decabromodiphenyl Ether (BDE-209). Physiol. Behav. 2014, 133, 81–91. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Börchers, S.; Krieger, J.-P.; Asker, M.; Maric, I.; Skibicka, K.P. Commonly-Used Rodent Tests of Anxiety-like Behavior Lack Predictive Validity for Human Sex Differences. Psychoneuroendocrinology 2022, 141, 105733. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Corder, E.H.; Saunders, A.M.; Strittmatter, W.J.; Schmechel, D.E.; Gaskell, P.C.; Small, G.W.; Roses, A.D.; Haines, J.L.; Pericak-Vance, M.A. Gene Dose of Apolipoprotein E Type 4 Allele and the Risk of Alzheimer’s Disease in Late Onset Families. Science 1993, 261, 921–923. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Vorhees, C.V.; Williams, M.T. Morris Water Maze: Procedures for Assessing Spatial and Related Forms of Learning and Memory. Nat. Protoc. 2006, 1, 848–858. [Google Scholar] [CrossRef] [Scilit]
- Guardia-Escote, L.; Basaure, P.; Peris-Sampedro, F.; Biosca-Brull, J.; Cabré, M.; Sánchez-Santed, F.; Domingo, J.L.; Colomina, M.T. APOE Genetic Background and Sex Confer Different Vulnerabilities to Postnatal Chlorpyrifos Exposure and Modulate the Response to Cholinergic Drugs. Behav. Brain Res. 2019, 376, 112195. [Google Scholar] [CrossRef] [Scilit]
- Buttini, M.; Yu, G.-Q.; Shockley, K.; Huang, Y.; Jones, B.; Masliah, E.; Mallory, M.; Yeo, T.; Longo, F.M.; Mucke, L. Modulation of Alzheimer-Like Synaptic and Cholinergic Deficits in Transgenic Mice by Human Apolipoprotein E Depends on Isoform, Aging, and Overexpression of Amyloid Peptides But Not on Plaque Formation. J. Neurosci. 2002, 22, 10539–10548. [Google Scholar] [CrossRef] [Scilit]
- Fortea, J.; Pegueroles, J.; Alcolea, D.; Belbin, O.; Dols-Icardo, O.; Vaqué-Alcázar, L.; Videla, L.; Gispert, J.D.; Suárez-Calvet, M.; Johnson, S.C.; et al. APOE4 Homozygosity Represents a Distinct Genetic Form of Alzheimer’s Disease. Nat. Med. 2024, 30, 1284–1291. [Google Scholar] [CrossRef] [Scilit]
- Roses, M.D.A.D. Apolipoprotein E Alleles as Risk Factors in Alzheimer’s Disease. Annu. Rev. Med. 1996, 47, 387–400. [Google Scholar] [CrossRef] [Scilit]
- Lister, R.; Mukamel, E.A.; Nery, J.R.; Urich, M.; Puddifoot, C.A.; Johnson, N.D.; Lucero, J.; Huang, Y.; Dwork, A.J.; Schultz, M.D.; et al. Global Epigenomic Reconfiguration During Mammalian Brain Development. Science 2013, 341, 1237905. [Google Scholar] [CrossRef] [Scilit]
- Senut, M.-C.; Cingolani, P.; Sen, A.; Kruger, A.; Shaik, A.; Hirsch, H.; Suhr, S.T.; Ruden, D. Epigenetics of Early-Life Lead Exposure and Effects on Brain Development. Epigenomics 2012, 4, 665–674. [Google Scholar] [CrossRef] [Scilit]
- Wang, C.; Zhang, Y.; Shao, S.; Cui, S.; Wan, Y.; Yi, M. Ventral Hippocampus Modulates Anxiety-Like Behavior in Male but Not Female C57BL/6 J Mice. Neuroscience 2019, 418, 50–58. [Google Scholar] [CrossRef] [Scilit]
- Paul, K.C.; Chuang, Y.-H.; Cockburn, M.; Bronstein, J.M.; Horvath, S.; Ritz, B. Organophosphate Pesticide Exposure and Differential Genome-Wide DNA Methylation. Sci. Total Environ. 2018, 645, 1135–1143. [Google Scholar] [CrossRef] [Scilit]
- Zhang, X.; Wallace, A.D.; Du, P.; Kibbe, W.A.; Jafari, N.; Xie, H.; Lin, S.; Baccarelli, A.; Soares, M.B.; Hou, L. DNA Methylation Alterations in Response to Pesticide exposure in Vitro. Environ. Mol. Mutagen. 2012, 53, 542–549. [Google Scholar] [CrossRef] [Scilit]
- McCarthy, M.M.; Auger, A.P.; Bale, T.L.; De Vries, G.J.; Dunn, G.A.; Forger, N.G.; Murray, E.K.; Nugent, B.M.; Schwarz, J.M.; Wilson, M.E. The Epigenetics of Sex Differences in the Brain. J. Neurosci. 2009, 29, 12815–12823. [Google Scholar] [CrossRef] [Scilit]
- Kundakovic, M.; Tickerhoof, M. Epigenetic Mechanisms Underlying Sex Differences in the Brain and Behavior. Trends Neurosci. 2024, 47, 18–35. [Google Scholar] [CrossRef] [Scilit]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.






