Skip to main content

This is a preprint.

It has not yet been peer reviewed by a journal.

The National Library of Medicine is running a pilot to include preprints that result from research funded by NIH in PMC and PubMed.

Research Square logoLink to Research Square
[Preprint]. 2026 Sep 7:rs.3.rs-10820227. [Version 1] doi: 10.21203/rs.3.rs-10820227/v1

Maternal Social Support Reshapes the Offspring Brain Transcriptome to Buffer Prenatal Stress in Mice

Monserrat Rodríguez González 1,#, Paula Thomas 1,#, Lucía Janicki 1, Erika Georgieff 1, Sergio Nemirowski 2, Verónica I Cantarelli 3, Marina F Ponzio 3, Mariela Chertoff 1, Bruno G Berardino 1, Eduardo T Cánepa 1,*
PMCID: PMC13622831  PMID: 42818933

Abstract

Early-life adversity, including prenatal stress, has lasting consequences for maternal and offspring mental health. However, the mechanisms through which social support buffers these effects remain poorly understood. Using a mouse model, we examined whether gestational social support from a familiar female protects against prenatal stress and whether this protection restores a stress-free molecular phenotype or engages a distinct compensatory program. Pregnant females exposed to unpredictable prenatal stress displayed impaired maternal care, elevated peripartum corticosterone levels, and reduced prefrontal and amygdala expression of oxytocinergic and dopaminergic genes. Their offspring showed impaired maternal-odor preference and long-term spatial memory. Strikingly, socially supported mothers and their offspring were virtually indistinguishable from unstressed controls across these behavioral and candidate-gene measures. Female companions increased affiliative interactions specifically in response to the pregnant female’s distress, consistent with a targeted prosocial response. However, whole-transcriptome analysis of offspring prefrontal cortex revealed a more complex picture: differentially expressed genes associated with stress and social support converged on synaptic transmission and neuronal connectivity, yet the transcriptome of socially supported offspring did not return to the control state. Instead, it diverged further along the same trajectory as prenatal stress, indicating an amplified rather than reversed molecular shift. These findings support a two-level model in which social support normalizes stress-reactive proximal signaling while activating a distinct adaptive transcriptional program in the developing brain. Maternal social support may therefore represent a modifiable factor that mitigates the intergenerational consequences of early-life adversity and reshape resilience as an active adaptation rather than restoration of baseline state.

Keywords: Affiliative and prosocial behaviors, Prenatal stress, Maternal care, Social support during pregnancy, Prefrontal cortex, Amygdala, Oxytocin system, Dopaminergic signaling, Long term spatial memory, maternal bedding preference

Introduction

Social species rely on prosocial behaviors to foster cooperation, strengthen social bonds, and improve group well-being. Among these, behaviors that provide comfort and mitigate stress in distressed individuals, such as gentle touch or vocal reassurance, are of particular significance1,2. alleviating negative emotional states in individuals who have experienced adversity3,4 and contributing to long-term resilience and emotional health in social groups5. In non-human animals, allogrooming plays a crucial role in mitigating stress: widely observed across mammals and birds, it increases specifically when a group member is distressed, providing a direct mechanism for stress alleviation6,7. Comparable behaviors reduce stress in humans by activating pathways involved in social bonding and emotional regulation8,9 These stress-buffering behaviors involve coordinated neural, endocrine, and behavioral systems. Key regions include the medial prefrontal cortex (mPFC), anterior cingulate cortex (ACC), and amygdala, involved in empathy and the recognition of distress in others10-13; the hypothalamic oxytocinergic system, which facilitates prosocial interactions and reduces stress responses6,14; and reward-related circuits, including the ventral tegmental area and nucleus accumbens, which reinforce comforting behaviors15-17.

This becomes particularly significant when the stressed individual is pregnant. Maternal stress during pregnancy is consistently linked, across large human cohort studies, to altered offspring neurodevelopment and increased risk of anxiety, depression, attentional problems, and other psychiatric conditions later in life, mediated by functional and structural brain changes, HPA-axis dysregulation, and epigenetic mechanisms18-20. Social support during pregnancy can buffer these effects on both mother and offspring: the maternal brain undergoes substantial plasticity during gestation, with regions such as the medial preoptic area of the hypothalamus becoming more sensitive to social input, and the developing fetus, highly responsive to maternal physiological states, appears to benefit from the stress-attenuating effects of the mother’s prosocial interactions, underscoring the intergenerational reach of social support21,22.

At the molecular level, prenatal stress produces lasting alterations in offspring gene expression and epigenetic regulation, modifying DNA methylation, non-coding RNA expression, and transcriptomic profiles in genes involved in neurodevelopment, synaptic function, and stress axis regulation23-27, thought to mediate the long-term behavioral and neurodevelopmental consequences of prenatal adversity28,29. However, whether protective interventions such as maternal social support act by reversing these molecular signatures toward an unstressed profile, or by engaging distinct compensatory mechanisms, remains largely unexplored — a question of particular interest in the mPFC and amygdala, given their established roles in stress regulation and the prosocial circuitry described above.

This study evaluates whether social support during early pregnancy protects against the effects of environmental adversity on maternal mental health and offspring behavioral outcomes of both sexes. We hypothesized that prosocial interactions during gestation would mitigate stress-induced impairments in maternal behavior and offspring neurodevelopment, rendering the socially supported group more similar to the unstressed condition, a prediction supported by our behavioral findings in dams and offspring. However, the underlying molecular mechanisms remain unclear, and at least two non-mutually exclusive models could account for this protection: social support may normalize the transcriptional alterations induced by prenatal stress toward the unstressed phenotype, or it may engage a distinct compensatory transcriptional program that diverges from both profiles yet still confers behavioral resilience.

Using a mouse model of prenatal stress, we integrated behavioral and molecular approaches to test whether supportive social interactions preserve maternal adaptation and promote resilient offspring neurodevelopment, and whether this protection reflects restoration of the basal molecular state or the establishment of an alternative adaptive transcriptional program in the offspring PFC.

Methods

Animals

CF-1 mice (crlfcen:CF1) from the colony of the Bioterio Central, Facultad de Ciencias Exactas y Naturales (University of Buenos Aires), were used for all experiments. Animals were maintained under controlled temperature (24 ± 1°C) and humidity (50 ± 10%), a 12:12 h light:dark cycle (lights on 6 a.m.), with food and water ad libitum,

Experimental design

Formation of Dam–Support Female Pairs

Female mice were housed four per cage from 4 to 8 weeks of age, then divided into pairs of familiar, unrelated females housed independently (Fig 1). Affiliative and prosocial interactions between paired females were assessed as described below. After two weeks of pair housing (10 weeks of age), one female per pair was randomly selected for mating; the other, designated the support female, was housed individually with environmental enrichment. The day a vaginal plug was detected was designated gestational day 0 (GD0), and pregnant females were separated from males. From GD1 to GD12, pregnant females were exposed (ES, ESA) or not exposed (CTA) to unpredictable stressors, as detailed below. On GD13, the familiar support female was reintroduced into the home cage of ESA dams and remained until delivery; ES dams remained singly housed throughout.

Figure 1. Experimental design of the social support model.

Figure 1.

Schematic representation of the experimental timeline used. Female mice (F0) were assigned to three experimental groups: control (CTA), prenatal stress (ES), or prenatal stress with social support (ESA). Before mating, basal social interactions between pregnant females and their designated support females were assessed. Following mating, females in the ES and ESA groups were exposed to unpredictable stressors during pregnancy. After the stress period, social interactions between ESA dams and their designated support females were assessed during the post-stress period. Maternal care was evaluated during lactation. Offspring (F1) were assessed for maternal odor preference at P14 and spatial memory using the 4-hole test at P35. Between weaning and P38, F0 dams and support females were evaluated using the Elevated Plus Maze (EPM), Novel Object Recognition (NOR), Social Interaction (SI), and Forced Swim Test (FST). Tissue collection was performed at the indicated time points from F0 dams and support females, as well as from F1 offspring. Birth and weaning are indicated at P0 and P21, respectively. G1 and G12 indicate the beginning and end of the exposure to unpredictable stress, respectively. PD: postnatal day; GD: gestational day.

Schedule of Prenatal Stressors

Prenatal stress was applied daily from GD1 to GD12. Four validated stress procedures were used, adapted from established rodent models30,31: swimming (5 min in room-temperature water), restraint (20 min in a ventilated Plexiglas restrainer), shaking (5 min of low-speed vortex shaking), and reduced bedding, applied continuously throughout. One of the three intermittent procedures was applied daily in an unpredictable, alternating sequence between 08:00 and 16:00 h in a room separate from housing (full procedural parameters in Supplementary Material).

Ethical Considerations

A control group without social support (CT) was not included in this design, as prior experiments from our laboratory found no significant differences between CT and CTA animals across multiple developmental and behavioral endpoints; CTA was therefore used as the control condition throughout, consistent with the 3Rs principle of reduction and the primary aim of testing whether social support buffers the effects of prenatal stress (extended justification in Supplementary Material).

Assessment of Affiliative and Prosocial Interactions Between Dams and Support Females

Affiliative and prosocial behaviors were assessed in pairs of a future dam and support female (unrelated) across two phases: basal interaction, evaluated for 8 consecutive days prior to mating, and post-stress interaction, reassessed from GD13 to delivery following reunification of the pair. In both phases, behavior was scored twice daily (08:00, 16:00 h; 1 h per session) using instantaneous sampling every 3 min, classified as active affiliative behaviors (allogrooming, following, and sniffing), passive interactions (physical contact without overt behavioral activity), or non-contact events. Sessions were video-recorded, and behavioral scoring was performed offline by an observer blind to group assignment (CTA or ESA).

Maternal care

Maternal care was evaluated from PD1 to PD6 as previously described32, with dams observed for three 1-h periods daily (9 am, 1 pm, 4 pm) and activity scored sequentially every 3 min across categories including arched-back nursing (ABN), licking/grooming (LG) of pups, passive nursing, carrying pups, mother/pup contact, nest building, and other maternal and non-maternal behaviors (full ethogram in Supplementary Material). Scoring for every cage was performed by three observers trained to a high level of inter-rater reliability.

Corticosterone Determinations in Feces

Corticosterone determination in feces was performed as described previously33. Detailed procedures are provided in the Supplementary Material

Behavioral testing

Dams and support females underwent a standardized behavioral battery comprising the elevated plus maze34 (EPM), novel object recognition35 (NOR), three-chamber social interaction test36 (SI), and forced swim test37 (FST), with 4-day intervals between tests. Detailed procedures are provided in the Supplementary Material.

Maternal Bedding Preference Test

Maternal odor-based preference was assessed in offspring at PD14-PD15 by exposing pups to bedding from their home cage and from an unfamiliar dam’s cage (full apparatus and procedure in Supplementary Material). Preference was quantified as a discrimination index: (T_maternal - T_non-maternal) / (T_maternal + T_non-maternal), where T reflects time spent exploring each bedding source.

Four-hole board test

Long-term spatial memory was assessed in offspring of both sexes using a four-hole board test over two consecutive days38 (full apparatus and procedure in Supplementary Material). Nose pokes during session 1 indexed exploratory behavior, and the decrease in nose pokes at session 2 (24 h later) indexed long-term spatial memory.

RNA isolation and reverse transcription

Mice were killed by cervical dislocation; the mPFC and amygdala were rapidly collected, snap frozen in liquid nitrogen, and stored at −80°C. Total RNA was extracted from frozen tissue using RNAzol RT (MRC, OH, USA) according to the manufacturer’s instructions. RNA concentration and purity were assessed using a NanoDrop2000 (Thermo Fisher Scientific, MA, USA), and cDNA was synthesized as previously described39.

Gene expression analysis

Primers (Primer-BLAST, NIH; Table 1) were used for RT-qPCR (StepOnePlus, Thermo Fisher Scientific) in duplicate, with non-template and non-transcribed controls included on each plate40. Differential expression was assessed from initial template quantities (N0) estimated by linear regression (LinRegPCR), normalized to the geometric mean of Hprt expression41.

RNA sequencing and differential expression analysis

Paired-end, demultiplexed, adapter-trimmed FASTQ files were obtained from Novogene (USA); quality and contaminants were assessed with FastQC/MultiQC and FastQ Screen42,43. Reads were aligned to GRCm39 with HISAT244, and gene-level counts generated with featureCounts (Rsubread; Ensembl v112)45,46, filtering low-count genes with edgeR’s filterByExpr47,48. Differential expression was assessed with DESeq2; sex-by-group interactions were evaluated by likelihood ratio test, and ashr shrinkage was applied to improve log2 fold-change estimates49. To assess the role of differentially expressed lncRNAs, we applied a co-expression-based guilt-by-association strategy50,51. Male and female offspring were analyzed jointly, with sex included as a covariate (sequencing quality metrics in Supplementary Material). Overrepresentation analysis (ToppGene Suite/ToppFun) was performed against a custom background of expressed protein-coding genes (baseMean > 10) for GO Biological Process, Molecular Function, and Cellular Component, with redundant terms summarized using REVIGO. Pre-ranked GSEA was performed with fgsea in R52 using GO Biological Process gene sets from MSigDB (v2026.1, mouse; enrichment parameters in Supplementary Material).

Statistical analysis

Statistical analyses were performed using GraphPad Prism v9 and R. Data were tested for normality using the Shapiro-Wilk test; normally distributed data were analyzed using parametric tests, and non-normally distributed data using non-parametric tests. For comparisons between two independent groups, unpaired two-tailed Student’s t-tests or Mann-Whitney U tests were used as appropriate. For comparisons among the three experimental groups, one-way ANOVA or Kruskal-Wallis tests were performed according to data distribution, followed by Tukey’s multiple-comparisons test or Dunn’s post-hoc test, respectively. For analyses involving sex and treatment, two-way ANOVA assessed the main effects and their interaction. For longitudinal measurements, repeated-measures mixed-effects models were used, with treatment, time, and their interaction as fixed effects, followed by Tukey’s post-hoc comparisons where appropriate. The same approach was used for maternal care measures collected across postpartum days. For categorical variables, chi-square tests were used, with effect sizes reported as Cramer’s V and odds ratios with 95% confidence intervals; one-sample t-tests were used when performance was compared with a theoretical or within-animal reference value. Effect sizes were calculated where relevant and reported as η2, ω2, Cohen’s d, ε2, Cramer’s V, or odds ratios, depending on the test and outcome measure. Tests were two-sided, with significance defined as p < 0.05 and trends indicated between p > 0.05 and p < 0.1 (full test-by-outcome assignment in Supplementary Material). For RNA-seq, differential expression was assessed using a negative-binomial generalized linear model (DESeq2), with differentially expressed transcripts defined at an adjusted p-value (Benjamini-Hochberg FDR) ≤ 0.10; nominally significant genes (p < 0.05) were additionally examined for the ES-versus-CTA and ESA-versus-CTA comparisons to characterize broader transcriptional shifts. GSEA pathways were considered enriched when ∣NES∣ > 2 and FDR < 0.05.

Results

Prenatal stress induces increased prosocial interactions within female dyads

To determine whether prenatal stress alters social interactions between pregnant females and their support partners, we quantified active, passive, and non-interaction events in CTA and ESA dyads at baseline (before pregnancy and stress) and during pregnancy following stress exposure.

At baseline, no differences were detected between CTA and ESA pairs in active (U = 37.50, p = 0.6129), passive (t(17) = 1.402, p = 0.1789), or non-interaction events (t(17) = 1.080, p = 0.2954) (Figs. 2A-C), confirming the absence of assignment bias. During pregnancy and following stress exposure, ESA females showed a significant increase in both active (t(17) = 2.314, p = 0.0334) and passive interactions (t(17) = 3.588, p = 0.0023) with their partners relative to CTA females, and fewer non-interaction events (t(17) = 2.401, p = 0.0281) (Figs. 2D-F). Because this increase emerged specifically after stress exposure, it likely reflects a prosocial response directed toward a distressed pregnant female rather than an effect of pregnancy per se, which was shared by both groups.

Figure 2. Social interaction.

Figure 2.

Social interactions between pregnant females and their designated support partner were assessed twice daily during two experimental phases: baseline, prior to mating (A–C), and post-stress, between gestational days PD13 and PD20 (D–F). Active interactions are shown in panels A and D, passive interactions in panels B and E, and absence of interaction in panels C and F. The total number of observations is indicated in each panel. Data are presented for the CTA group (n = 11) and the ESA group (n = 8). Statistical analysis was performed using an unpaired Student’s t-test. *p < 0.05, **p < 0.01.

Social support attenuates prenatal stress-induced deficits in active maternal care

We next evaluated whether prenatal stress affected maternal care and whether social support modified these behaviors. Overall pup-directed activity did not differ among groups (F(2,24) = 1.242, p = 0.3068) (Fig. 3A). However, specific components differed: ES dams showed reduced ABN (H(2) = 11.77, p = 0.0028) and LG (H(2) = 8.331, p = 0.0155), whereas ESA dams showed levels comparable to CTA (Figs. 3B and C). Analysis of ABN+LG across the observation period revealed a main effect of treatment (F(2,24) = 7.016, p = 0.0040) with no treatment x time interaction (F(10,120) = 1.496, p = 0.1488); ABN+LG was reduced in ES dams on postnatal days 2 and 5 (Tukey’s p = 0.0071 and p = 0.0446) (Fig. 3D).

Fig. 3. Analysis of maternal behavior.

Fig. 3

Maternal behavior was assessed three times per day every other day from PND1 to PND6. The following parameters were measured: maternal behaviors directed to the pups or self-directed (A), ABN (B), LG (C), and self-directed activities (E). The total number of observations are shown in each panel. ABN plus LG are shown across the observation period (D). The data are presented as the mean ± SD of an average of observations from all days (panels A, B, C, and E) or from each day (panel D), n = 8-9 per group. Statistical analysis for panel (A): Effect of behavior direction p < 0.0001 (two-way ANOVA), independently of gestational exposure. Statistical analysis for panels (B, C, and E): *p < 0.05 , **p < 0.01, one-way ANOVA. Statistical analysis for panel (D): *p < 0.05, **p < 0.01 two way ANOVA with repeated measures. Statistical trends are indicated by adjusted p values

No differences were observed in passive nursing (H(2) = 2.495, p = 0.2872), nest building (H(2) = 1.949, p = 0.3773), or contact with pups in the nest (F(2,24) = 1.236, p = 0.3083) (Fig. S3A-C). In contrast, behaviors not involving the offspring differed among groups (F(2,24) = 3.490, p = 0.0467), with ES dams tending to spend more time in these activities than CTA and ESA dams (Tukey’s p = 0.0864 and p = 0.0694) (Fig. 3E); self-maintenance activities did not differ (F(2,24) = 1.857, p = 0.1779) (Fig. S3D).

Together, these findings indicate that prenatal stress reduced the quality, rather than the amount, of maternal care, whereas ESA dams displayed care comparable to CTA despite the same stress exposure, consistent with a protective effect of social support.

Additional reproductive, phenotypic, and behavioral assessments (maternal and offspring body weight, litter size, offspring survival, and maternal and social-support performance in the EPM, FST, NOR, and three-chamber test) are provided in the Supplementary Material.

Fecal corticosterone levels across the reproductive and postpartum period

Fecal corticosterone was monitored longitudinally in a subset of animals per group at five time points spanning key reproductive and postpartum transitions. Concentrations did not differ among groups before mating (H(2) = 0.93, p = 0.6682) or after the 12-day stress exposure (H(2) = 0.46, p = 0.8247) (Figs. S7A and B). On the day of delivery, a significant group effect emerged (H(2) = 7.00, p = 0.0062, epsilon squared = 0.55), with ES animals showing higher corticosterone than CTA (p = 0.0349) while ESA did not differ from CTA (p = 0.2147) (Fig. S7C). At PD7, a group effect was again detected (H(2) = 6.64, p = 0.0199, epsilon squared = 0.52), with trends toward higher corticosterone in ES relative to CTA (p = 0.089) and ESA (p = 0.069) that did not survive Holm correction (Fig. S7D). By weaning, groups no longer differed (H(2) = 1.10, p = 0.6149) (Fig. S7E). Support females showed no CTA-versus-ESA differences at either the pre-stress (U = 5, p = 0.2857) or post-stress time point (U = 4, p = 0.3429) (Figs. S7F and G).

Prenatal Stress-Induced Changes in Prosociality-Related Gene Expression in the PFC and Amygdala Are Modulated by Social Support

Given the increased affiliative interactions in ESA dyads, we examined whether expression of genes implicated in social buffering and socio-emotional regulation (oxytocinergic, dopaminergic, serotonergic, and activity-dependent signaling) was altered in the PFC and amygdala.

In ES mothers, Oxtr and Cd38 were reduced in the PFC relative to both CTA and ESA (Figs. 4A and B), and Oxtr was reduced in the amygdala relative to CTA, with a trend relative to ESA (Fig. 4G). Comt was reduced in ES mothers in both regions relative to CTA and ESA (Figs. 4D and J), and Drd2 in the PFC only (Figs. 4C and I); no CTA-versus-ESA differences were detected for any of these genes. Slc6a4 did not differ among groups in either region (Figs. 4E and K). For Npas4, an activity-dependent immediate early transcription factor, no differences were detected in the PFC (Fig. 4F), whereas a trend toward reduced expression was observed in the ES amygdala relative to CTA (Fig. 4L).

Figure 4. Expression of prosociality-related genes in the PFC and amygdala of mothers.

Figure 4.

Relative expression levels of the genes indicated in the figure were determined by RT-qPCR in the PFC and amygdala of mothers. Data are presented as mean ± SD (n = 5–7 per group). Statistical analysis for panels E and G was performed using the Kruskal–Wallis test followed by Dunn’s post hoc test. For all remaining panels, statistical analysis was performed using one-way ANOVA followed by Tukey’s post hoc test. *p < 0.05, **p < 0.01. Statistical trends are indicated by adjusted p values.

In social-support females, no group differences were detected for any gene in either region (Figs. S8A-L), except a trend toward reduced Slc6a4 in the amygdala of ESA relative to CTA support females (Fig. S8K).

Overall, prenatal stress was associated with reduced expression of multiple genes implicated in affiliative and prosocial behaviors in the PFC and amygdala, whereas ESA mothers showed no detectable alterations relative to CTA, consistent with a modulatory effect of social support on stress-associated molecular changes in socio-emotional circuits.

Prenatal stress disrupts maternal bedding preference in offspring and is prevented by social support

We next investigated whether the reduced maternal care in ES dams was associated with offspring behavioral alterations. Male and female pups (PD14-PD15) were exposed for 6 min to bedding from their own and an unfamiliar dam to assess maternal odor preference. A two-way ANOVA revealed no sex x treatment interaction (F(2,42) = 0.2975, p = 0.7442) and no main effect of sex (F(1,42) = 0.0488, p = 0.8261) (Fig. S9A), so sexes were pooled. The discrimination index differed among groups (H(2) = 6.024, p = 0.0492) (Fig. 5A), being lower in ES than CTA offspring (Dunn’s p = 0.0168) while ESA did not differ from CTA (p = 0.1390); effect sizes were moderate (eta squared = 0.092; CTA-versus-ES Cohen’s d = 0.66; ES-versus-ESA d = 0.56). One-sample t-tests confirmed that CTA (p = 0.0006) and ESA (p = 0.0043) offspring preferred their own maternal bedding, whereas ES offspring showed no preference (p = 0.3453); total exploration time did not differ among groups (H(2) = 2.727, p = 0.2557), indicating the effect was not attributable to overall exploratory activity (Fig. 5B). Thus, prenatal stress disrupted maternal bedding preference, and social support prevented it.

Figure 5. Evaluation of maternal bedding preference and spatial memory in offspring.

Figure 5.

Maternal bedding preference (A and B) and long-term spatial memory (C–D) were assessed in offspring. Discrimination index (A) and exploration time (B) are shown. Data are presented as mean ± SD (n = 10–12 per group). Statistical analysis was performed using the Kruskal–Wallis test (A and B), followed by the two-stage linear step-up procedure of Benjamini, Krieger, and Yekutieli (A) or Dunn’s post hoc test (B). The difference in the number of nose-pokes between day 2 and day 1 is shown for female offspring (C). Data are presented as mean ± SD (n = 12–20 per group). Statistical analysis was performed using one-way ANOVA followed by Tukey’s post hoc test (C). Exploratory profiles of offspring (D) are shown. Data are presented as the number of mice displaying either a high or low exploratory profile in each group (n = 11–12 per group). Statistical analysis was performed using the chi-square test.

Long-Term Spatial Memory and Exploratory Strategy in the 4-Hole Task

Offspring were tested in the 4-hole task, with retention assessed as the change in nose-pokes from training (day 1) to testing (day 2). A two-way ANOVA revealed a main effect of treatment (p < 0.0001), with no effect of sex (F(1,52) = 1.711, p = 0.1966) or sex x treatment interaction (F(2,52) = 0.7738, p = 0.4665) (Fig. S9B), so sexes were pooled. The day 2 versus day 1 difference in nose-pokes differed among groups (F(2,55) = 10.64, p < 0.001) (Fig. 5C), with differences between CTA and ES (Tukey’s p = 0.002) and between ESA and ES (p = 0.0039) but not CTA and ESA (p = 0.6496). CTA and ESA offspring significantly reduced their nose-pokes on day 2 (p = 0.0002 and p = 0.027), whereas ES offspring did not (p = 0.9370), indicating impaired memory retention in the ES group.

Exploratory motivation during training was assessed from holes visited on day 1, classifying animals as high (three-four) or low explorers (one-two). The distribution showed a trend toward a treatment effect (chi square(2, N = 69) = 4.85, p = 0.088, Cramer’s V = 0.27) (Fig. 5D): CTA offspring were predominantly high explorers (19/24) and ESA resembled them (17/22), whereas ES offspring showed more low explorers (11/23). Pairwise analysis showed a trend toward fewer high explorers in ES than CTA (OR = 3.48, 95% CI 0.97-12.54, p = 0.069), with no CTA-versus-ESA (OR = 1.12, p = 1.000) or ES-versus-ESA difference (OR = 0.32, p = 0.120). Thus, prenatal stress impaired long-term spatial memory and was associated with a trend toward reduced exploratory engagement, whereas social support prevented the memory impairment and yielded an exploratory profile resembling controls.

Distinct transcriptomic signatures associated with prenatal stress and social support in the offspring prefrontal cortex

To investigate molecular mechanisms underlying the offspring behavioral phenotype, we performed whole-transcriptome RNA sequencing of the PFC (sexes analyzed jointly, with sex as a covariate). The ES-versus-ESA comparison identified 625 differentially expressed transcripts (padj <= 0.1), including 343 protein-coding genes, 76 long non-coding RNAs (lncRNAs), and a smaller number of transcripts from other biotypes. Overrepresentation analysis of the 343 protein-coding DEGs against a custom background of expressed protein-coding genes (baseMean > 10) was performed for GO Biological Process (BP), Molecular Function (MF), and Cellular Component (CC); of the 343 query genes, 325 were recognized. All three domains converged on synaptic transmission and neuronal connectivity: BP was led by chemical synaptic transmission (52/325 genes; FDR = 8.62x10-7), together with dendritic spine organization and development and behavior (Fig. 6A); MF highlighted neurotransmitter receptor and channel activity, particularly GABAergic signaling (Fig. 6B); and CC showed the strongest support, led by glutamatergic synapse (54/325 genes; FDR = 2.68x10-8), followed by GABAergic synapse, presynapse, postsynaptic specialization, and axonal compartments (Fig. 6C).

Figure 6. Gene Ontology (GO) enrichment analysis of differentially expressed genes identified by RNA sequencing.

Figure 6.

Gene Ontology (GO) enrichment analysis was performed on the differentially expressed genes identified by RNA-seq. Significantly enriched GO terms are shown for the three GO categories: Biological Process (A), Cellular Component (B), and Molecular Function (C). The x-axis indicates the enrichment fold for each GO term. Dot size represents the number of differentially expressed genes associated with each GO term (gene count), and dot color indicates the statistical significance of the enrichment (−log10 adjusted p value). GO terms are ranked according to their enrichment.

Among the 76 differentially expressed lncRNAs, a co-expression-based guilt-by-association approach (Guttman et al., 2009; Liao et al., 2011) identified 975 lncRNA-gene pairs involving 619 unique protein-coding genes and 36 of the 76 lncRNAs. Kcnq1ot1 showed robust correlations with three protein-coding genes, Dpysl2, Lars2, and Xkr6; Dpysl2, which encodes CRMP2, has established roles in axon guidance and synaptic plasticity, consistent with the functional enrichment of the protein-coding DEG set.

Comparison across experimental groups

To characterize transcriptional differences across groups, we examined the ES-versus-CTA and ESA-versus-CTA contrasts. ES-versus-CTA yielded 417 nominally significant genes (p < 0.05) but none reaching adjusted significance, whereas ESA-versus-CTA yielded 1,507 nominally significant genes, of which Tspyl5 and Epm2a reached adjusted significance (both padj = 0.038). Among the 73 genes showing nominal differences in both contrasts, 93.2% changed in the same direction (r = 0.87 for shrunken log2 fold-change estimates), and the magnitude of change was greater in ESA-versus-CTA than ES-versus-CTA for all 73 genes. Thus, the ESA transcriptome did not simply return to the CTA state but showed a broader shift along the same direction as the ES-versus-CTA contrast.

GSEA of the three pairwise comparisons (∣NES∣ > 2, FDR < 0.05) revealed that almost all enriched pathways were detected in a single direction within each comparison: ES-versus-CTA yielded 59 pathways with NES < −2 and none with NES > 2; ES-versus-ESA yielded 112 with NES < −2 and two with NES > 2; and ESA-versus-CTA yielded 120 with NES > 2 and two with NES < −2. Classification of the top 50 enriched pathways revealed distinct functional profiles: ES-versus-CTA was characterized mainly by lipid metabolism and membrane biosynthesis, together with glial development and nervous tissue organization (Fig. S10A); ES-versus-ESA was dominated by synaptic organization and function, with additional categories related to intracellular trafficking, proteostasis, neuronal development, and structural plasticity (Fig. S10B); and ESA-versus-CTA showed a more homogeneous profile dominated by dendritic spine development, structural plasticity, and synaptic organization (Fig. S10C).

These findings support the hypothesis that prenatal social buffering promotes behavioral recovery through the establishment of an alternative transcriptomic program rather than by restoring the transcriptome to the basal control state.

Discussion

This study explored whether social support during gestation buffers the consequences of prenatal stress in dams and their offspring, and whether this protection operates by restoring the unstressed molecular phenotype or by a distinct compensatory mechanism. Our findings support a nuanced answer: depending on the level of biological organization examined, both models find support, and reconciling them offers a more complete picture of how social buffering operates across timescales and biological systems.

The unpredictable stress model used here did not induce overt anxiety-like or depression-like phenotypes, nor did it impair recognition memory or sociability in adult dams. Instead, its effects were remarkably selective, primarily affecting maternal caregiving quality and neural systems associated with affiliative behavior, together with developmental outcomes in the offspring, consistent with evidence that moderate gestational stress primarily disrupts maternal-offspring interactions and offspring brain development rather than inducing severe affective disturbances in the mother18,53,54. This selectivity was also evident in the companion females’ own behavior: the rise in prosocial interactions was not a general effect of cohousing or pregnancy, but was specifically linked to the companion’s exposure to stress, a pattern that aligns with the literature on rodent consolation and allogrooming, in which affiliative behaviors are heightened by a partner’s distress rather than by mere proximity6,55.

The distinction between quantitative and qualitative aspects of maternal care is biologically important, as caregiving components differ in their neurobiological significance56. Arched-back nursing facilitates pup access to milk while maintaining thermal and tactile contact, and its disruption is linked to poorer nursing efficiency and altered offspring outcomes, whereas licking and grooming provide intense somatosensory input that shapes sensory pathway maturation, HPA-axis regulation, and synaptic development57-60. Reductions in these behaviors are therefore thought to exert disproportionately large developmental effects despite relatively preserved overall maternal contact.

Our finding that ES dams show reduced maternal care alongside elevated peripartum corticosterone, both buffered in ESA, and that ES offspring in turn show impaired maternal-odor preference and long-term spatial memory, again buffered in ESA, suggests that maternal behavior may be a proximate transmission route for the protective effect of social support. This is consistent with the classical concept of social buffering, whereby an affiliative conspecific reduces HPA-axis activation during or following stress61,62, a phenomenon documented across rodents, primates, and humans and thought to involve oxytocinergic pathways, limbic circuits, and hypothalamic stress-regulatory networks63-65. The temporal profile was particularly informative: group differences in corticosterone were evident during late gestation and the first postpartum week but disappeared by weaning, indicating that social support acted within a sensitive window rather than chronically suppressing HPA-axis function. This specificity may be advantageous, as excessive glucocorticoid exposure during late gestation has been repeatedly implicated in fetal programming through altered placental function, fetal brain development, and maturation of stress-regulatory circuits66,67.

The molecular data are consistent with disruption of oxytocinergic and dopaminergic cortical-limbic systems involved in maternal responsiveness68,69. Oxytocin signaling contributes to the onset and maintenance of maternal care and interacts with mesolimbic dopamine pathways supporting maternal motivation and social reward, while dopamine reinforces pup-directed actions57,70,71. The preservation of both maternal behavior and candidate-gene expression in socially supported dams is therefore consistent with social support stabilizing stress-sensitive circuits during pregnancy.

Notably, these alterations occurred in two regions central to social behavior, the mPFC and amygdala, whose functional interactions are increasingly recognized as fundamental to social buffering, allowing affiliative cues to influence endocrine and behavioral stress responses72,73. Their conservation provides a plausible neural substrate through which social interactions maintain maternal adaptation during pregnancy74,75.

The protective effects extended beyond the mother to the next generation. The conservation of maternal bedding preference is particularly noteworthy, as attraction to maternal olfactory cues is one of the earliest manifestations of successful mother-infant bonding in rodents: maternal odors guide nipple localization, nursing, thermoregulation, and proximity-seeking, promoting survival while shaping the maturation of circuits involved in attachment and emotional regulation76,77. Consequently, the absence of maternal odor preference in offspring from stressed dams likely reflects disruption of early socio-sensory processing rather than a simple alteration in olfactory perception.

The impairment in long-term spatial memory in offspring from stressed dams is consistent with evidence that prenatal adversity alters the maturation of corticolimbic circuits involved in learning and memory78,79. These deficits were prevented by maternal social support, indicating that the prenatal social environment can influence cognitive trajectories long after birth80,81. A further, non-significant observation was a tendency toward reduced exploratory motivation in prenatally stressed offspring; because exploratory motivation influences opportunities for environmental interaction and learning, even subtle changes may contribute to broader cognitive outcomes later in life82,83. These alterations emerged despite the absence of detectable sex differences: although many studies report sex-dependent effects of prenatal stress34,35, increasing evidence indicates that some consequences, particularly those involving sensory processing, hippocampal-dependent memory, and prefrontal maturation, can be similarly expressed in both sexes depending on the nature, timing, and intensity of the prenatal insult84,85.

A markedly different picture emerged from the unbiased, whole-transcriptome analysis of the offspring prefrontal cortex, which revealed broad molecular differences associated with prenatal stress and buffering, consistent with prior evidence that prenatal stress induces lasting transcriptomic and epigenetic reprogramming in fetal and adult brain86,87. The interpretation that buffered offspring do not simply revert to control baseline but instead occupy an alternative molecular state is plausible given evidence that stress-related phenotypes can arise from coordinated, pathway-level shifts, including lncRNA-linked regulation, rather than only large single-gene effects88. The impaired long-term memory in ES offspring, and its recovery in ESA offspring, is consistent with the differential expression of genes governing dendritic spine organization and development and glutamatergic synaptic transmission identified here79,89. The acquisition of preference for maternal bedding, an early form of odor-guided social learning, similarly depends on the maturation of synaptic connectivity within limbic and sensory-processing circuits during a comparable developmental window; the reduction in genes supporting synaptic transmission and spine organization thus offers a plausible, if indirect, molecular substrate for the disrupted preference in ES offspring90.

Reconciling these two patterns, restoration at the level of candidate social-affiliation genes and maternal/offspring behavior versus divergence at the level of the broader offspring transcriptome, suggests a plausible two-tier model of social buffering. Social support during gestation may first normalize proximal signaling systems directly tied to social bonding and stress reactivity (the oxytocinergic and dopaminergic pathways examined here), both in the dam and, downstream, in her offspring. This normalization may in turn permit, or actively engage, a distinct and more pronounced program of synaptic and neuronal gene expression in the offspring brain, one that diverges from both stressed and unstressed profiles yet is associated with preserved behavioral outcomes. Under this model, behavioral resilience would not stem from erasing the molecular signature of stress, but from the recruitment of an additional, adaptive layer of neurodevelopmental regulation superimposed on a partially normalized signaling substrate, consistent with human evidence that social support during pregnancy buffers the impact of prenatal stress on offspring outcomes even when the underlying pathways remain unresolved91.

These findings carry broader translational implications. In humans, perceived social support during pregnancy consistently predicts higher-quality mother-infant interactions, greater maternal sensitivity, and improved cognitive and emotional development in children, even after accounting for socioeconomic and obstetric variables92-94, and structured support delivered through community doulas or peer programs reduces postpartum depression, anxiety, and stress in randomized controlled trials, particularly among socially vulnerable populations95,96. Although extrapolation from rodents to humans requires caution, this cross-species convergence supports the notion that social relationships during pregnancy shape offspring development both by buffering maternal stress physiology and by preserving the quality of early caregiving. The present data provide mechanistic support by linking social support to endocrine regulation, maternal brain molecular signatures, caregiving behavior, and offspring neurobehavioral outcomes within a single integrative model.

Equally informative is the absence of detectable molecular changes in the brains of the social-support females. Despite participating in increased affiliative interactions with stressed dams, support females showed no consistent alterations in candidate gene expression, suggesting that the neurobiological consequences of social buffering are not necessarily shared equally between interacting individuals: the primary effect appears to occur within the stressed animal, while the supporting conspecific may function as a relatively stable source of social regulation. This asymmetry resembles observations in human social neuroscience, where supportive individuals often facilitate emotional regulation in distressed partners without exhibiting parallel physiological responses themselves97-99.

Strengths and limitations

A major strength of this study is its integrative design, combining maternal endocrine and behavioral measures with offspring behavioral and prefrontal transcriptomic analyses across two generations, providing convergent evidence for the biological consequences of prenatal social support; the use of a naturalistic affiliative paradigm also increases translational relevance. Several limitations should nevertheless be considered. First, transcriptomic analyses were restricted to the prefrontal cortex and a single developmental time point, so the identified changes may represent only part of the broader neural adaptations induced by the prenatal social environment. Second, the design does not establish causal relationships among maternal physiology, behavior, and offspring outcomes, or distinguish prenatal effects from postnatal influences mediated by maternal care; cross-fostering or targeted manipulation of maternal social interactions would be required to disentangle these mechanisms. Third, RNA sequencing identifies transcriptional associations but does not establish the cellular origin or functional consequences of the observed changes, which will require cell-type-specific and spatial approaches together with functional validation. Finally, although both sexes were included, the study was not powered to detect subtle sex-dependent molecular effects, and larger sex-stratified studies will be important to determine whether the mechanisms underlying resilience differ between males and females.

Conclusion

This study provides converging behavioral, physiological, and molecular evidence that social support during gestation buffers the maternal and offspring consequences of prenatal stress. Our findings suggest that social buffering operates differently in the mother and the developing offspring brain. In mothers, social support exerted a predominantly homeostatic effect, preserving endocrine regulation, candidate gene expression, and maternal behavior in the face of prenatal stress. In contrast, although offspring behavioral outcomes were largely normalized, prefrontal transcriptomic profiles were not simply restored to the basal state. This dissociation suggests that, in the developing brain, resilience may not depend on preventing molecular adaptation, but rather on redirecting developmental trajectories toward an alternative adaptive state compatible with preserved behavioral function. These findings underscore social support as a modifiable, translationally relevant target for interventions aimed at mitigating the intergenerational consequences of early-life adversity.

Supplementary Material

This is a list of supplementary files associated with this preprint. Click to download.

• Supplementalmaterial.docx

Acknowledgements

We would like to thank the staff at the Bioterio Central at the Facultad de Ciencias Exactas y Naturales, UBA, for their assistance with mice.

Funding

This work was supported by the University of Buenos Aires (UBA) under grant number 20020220200084BA (to ETC) and by the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) under grant number PIP- 0421 (to ETC).

Abbreviations:

ABN

arched-back nursing

ACC

anterior cingulate cortex

BP

Biological Process

CC

Cellular Component

CTA

control group with social support

CT

control group

DEG

differentially expressed genes

EPM

elevated plus maze

ES

experimental stress group

ESA

experimental stress group with social support

FDR

false discovery rate

FST

forced swim test

GD1

gestational day 1

GSEA

gene set enrichment analysis

HPA

hypothalamic-pituitary-adrena

LG

licking and grooming

lncRNAs

long non-coding RNAs

mPFC

medial prefrontal cortex

MF

Molecular Function

NES

normalized enrichment score

NOR

novel object recognition

ORA

Overrepresentation analysis

PD

postnatal day

SI

social interaction

VTA

ventral tegmental area

Footnotes

Ethics declaration

All procedures were performed in accordance with local regulations and the National Institutes of Health (NIH) Guide of the Care and Use of Laboratory Animals (NIH publication 80–23/96) and were previously approved by the Ethical Committee (CICUAL, Protocol No. 142) of the Facultad de Ciencias Exactas y Naturales (University of Buenos Aires).

Conflict of Interest

The authors declare no conflicts of interest.

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request

References

  • 1.Pfattheicher S, Nielsen YA, Thielmann I. Prosocial behavior and altruism: A review of concepts and definitions. Curr Opin Psychol 2022; 44: 124–129. [DOI] [PubMed] [Google Scholar]
  • 2.Sterley TL, Bains JS. Social communication of affective states. Curr Opin Neurobiol 2021; 68: 44–51. [DOI] [PubMed] [Google Scholar]
  • 3.Lim KY, Hong W. Neural mechanisms of comforting: Prosocial touch and stress buffering. Horm Behav 2023; 153. doi: 10.1016/J.YHBEH.2023.105391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Wu YE, Dang J, Kingsbury L, Zhang M, Sun F, Hu RK et al. Neural control of affiliative touch in prosocial interaction. Nature 2021; 599: 262–267. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wu YE, Hong W. Neural basis of prosocial behavior. Trends Neurosci 2022; 45: 749–762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Burkett JP, Andari E, Johnson Z V., Curry DC, De Waal FBM, Young LJ. Oxytocin-dependent consolation behavior in rodents. Science 2016; 351: 375–378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Lee IC, Yu TH, Liu WH, Hsu K Sen. Social Transmission and Buffering of Hippocampal Metaplasticity after Stress in Mice. J Neurosci 2021; 41: 1317–1330. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Coan JA, Schaefer HS, Davidson RJ. Lending a hand: social regulation of the neural response to threat. Psychol Sci 2006; 17: 1032–1039. [DOI] [PubMed] [Google Scholar]
  • 9.Ferretti V, Papaleo F. Understanding others: Emotion recognition in humans and other animals. Genes Brain Behav 2019; 18. doi: 10.1111/GBB.12544. [DOI] [PubMed] [Google Scholar]
  • 10.Li H, Zhao Z, Jiang S, Wu H. Brain circuits that regulate social behavior. Mol Psychiatry 2025; 30: 3240–3256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Mack NR, Bouras NN, Gao WJ. Prefrontal Regulation of Social Behavior and Related Deficits: Insights From Rodent Studies. Biol Psychiatry 2024; 96: 85–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Ferretti V, Maltese F, Contarini G, Nigro M, Bonavia A, Huang H et al. Oxytocin Signaling in the Central Amygdala Modulates Emotion Discrimination in Mice. Curr Biol 2019; 29: 1938–1953.e6. [DOI] [PubMed] [Google Scholar]
  • 13.Scheggia D, Managò F, Maltese F, Bruni S, Nigro M, Dautan D et al. Somatostatin interneurons in the prefrontal cortex control affective state discrimination in mice. Nat Neurosci 2020; 23: 47–60. [DOI] [PubMed] [Google Scholar]
  • 14.Dölen G, Darvishzadeh A, Huang KW, Malenka RC. Social reward requires coordinated activity of nucleus accumbens oxytocin and serotonin. Nature 2013; 501: 179–184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Hu J, Hu Y, Li Y, Zhou X. Computational and Neurobiological Substrates of Cost-Benefit Integration in Altruistic Helping Decision. J Neurosci 2021; 41: 3545–3561. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Rogers-Carter MM, Djerdjaj A, Gribbons KB, Varela JA, Christianson JP. Insular Cortex Projections to Nucleus Accumbens Core Mediate Social Approach to Stressed Juvenile Rats. J Neurosci 2019; 39: 8717–8729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Kolling N, Wittmann MK, Behrens TEJ, Boorman ED, Mars RB, Rushworth MFS. Value, search, persistence and model updating in anterior cingulate cortex. Nat Neurosci 2016; 19: 1280–1285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Wu Y, De Asis-Cruz J, Limperopoulos C. Brain structural and functional outcomes in the offspring of women experiencing psychological distress during pregnancy. Mol Psychiatry 2024; 29: 2223–2240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Van den Bergh BRH, van den Heuvel MI, Lahti M, Braeken M, de Rooij SR, Entringer S et al. Prenatal developmental origins of behavior and mental health: The influence of maternal stress in pregnancy. Neurosci Biobehav Rev 2020; 117: 26–64. [DOI] [PubMed] [Google Scholar]
  • 20.Walsh K, McCormack CA, Webster R, Pinto A, Lee S, Feng T et al. Maternal prenatal stress phenotypes associate with fetal neurodevelopment and birth outcomes. Proc Natl Acad Sci U S A 2019; 116: 23996–24005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Nolvi S, Merz EC, Kataja EL, Parsons CE. Prenatal Stress and the Developing Brain: Postnatal Environments Promoting Resilience. Biol Psychiatry 2023; 93: 942–952. [DOI] [PubMed] [Google Scholar]
  • 22.Davis EP, Narayan AJ. Pregnancy as a period of risk, adaptation, and resilience for mothers and infants. Dev Psychopathol 2020; 32: 1625–1639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Babenko O, Kovalchuk I, Metz GAS. Stress-induced perinatal and transgenerational epigenetic programming of brain development and mental health. Neurosci Biobehav Rev 2015; 48: 70–91. [DOI] [PubMed] [Google Scholar]
  • 24.Bi H, Jin J, Sun M, Chen M, Li X, Wang Y. Epigenetic changes caused by early life stress in the pathogenesis of depression. Eur J Pharmacol 2025; 999. doi: 10.1016/j.ejphar.2025.177671. [DOI] [PubMed] [Google Scholar]
  • 25.Adeline Dorothy PD, Rajan KE. Prenatal maternal life adversity impacts on learning and memory in offspring: implication to transgenerational epigenetic inheritance. Front Neurosci 2025; 19: 1518046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Creutzberg KC, Begni V, Orso R, Lumertz FS, Wearick-Silva LE, Tractenberg SG et al. Vulnerability and resilience to prenatal stress exposure: behavioral and molecular characterization in adolescent rats. Transl Psychiatry 2023; 13. doi: 10.1038/S41398-023-02653-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Chen X, Cao Y, Zhao X, Li Y, Song Z, Wang J et al. Transcriptional profiling reveals brain region-specific changes in gene expression induced by chronic unpredictable mild stress between stress-susceptible and stress-resilient mice. Psychopharmacology (Berl) 2026. doi: 10.1007/s00213-026-07085-w. [DOI] [PubMed] [Google Scholar]
  • 28.Grundwald NJ, Brunton PJ. Prenatal stress programs neuroendocrine stress responses and affective behaviors in second generation rats in a sex-dependent manner. Psychoneuroendocrinology 2015; 62: 204–216. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Creutzberg KC, Sanson A, Viola TW, Marchisella F, Begni V, Grassi-Oliveira R et al. Long-lasting effects of prenatal stress on HPA axis and inflammation: A systematic review and multilevel meta-analysis in rodent studies. Neurosci Biobehav Rev 2021; 127: 270–283. [DOI] [PubMed] [Google Scholar]
  • 30.Garcia-Flores V, Romero R, Furcron AE, Levenson D, Galaz J, Zou C et al. Prenatal Maternal Stress Causes Preterm Birth and Affects Neonatal Adaptive Immunity in Mice. Front Immunol 2020; 11. doi: 10.3389/fimmu.2020.00254. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Golub Y, Canneva F, Funke R, Frey S, Distler J, von Hörsten S et al. Effects of In utero environment and maternal behavior on neuroendocrine and behavioral alterations in a mouse model of prenatal trauma. Dev Neurobiol 2016; 76: 1254–1265. [DOI] [PubMed] [Google Scholar]
  • 32.Gianatiempo O, Sonzogni SV, Fesser EA, Belluscio LM, Smucler E, Sued MR et al. Intergenerational transmission of maternal care deficiency and offspring development delay induced by perinatal protein malnutrition. Nutr Neurosci 2020; 23. doi: 10.1080/1028415X.2018.1509178. [DOI] [PubMed] [Google Scholar]
  • 33.Resasco A, Foltran RB, Carbone C, Diaz SL. Effect of simple and complex enrichment added to standard-sized cages in behavioral, physiological, and neurological variables in female Swiss mice (Mus musculus). Behav Neurosci 2021; 135: 380–388. [DOI] [PubMed] [Google Scholar]
  • 34.Belluscio LM, Berardino BG, Ferroni NM, Ceruti JM, Cánepa ET. Early protein malnutrition negatively impacts physical growth and neurological reflexes and evokes anxiety and depressive-like behaviors. Physiol Behav 2014; 129: 237–54. [DOI] [PubMed] [Google Scholar]
  • 35.Lueptow LM. Novel object recognition test for the investigation of learning and memory in mice. J Vis Exp 2017; 2017: 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Choe HK, Reed MD, Benavidez N, Montgomery D, Soares N, Yim YS et al. Oxytocin Mediates Entrainment of Sensory Stimuli to Social Cues of Opposing Valence. Neuron 2015; 87: 152–163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Berardino BG, Cardillo MB, Priegue R, Perez HC, Nemirovsky SI, Salvochea M et al. A novel multidimensional, perinatal social and material deprivation paradigm induces aggressive behavior and cortical gene expression reprogramming in young adult mice. Prog Neuro-Psychopharmacology Biol Psychiatry 2025; 140. doi: 10.1016/j.pnpbp.2025.111432. [DOI] [PubMed] [Google Scholar]
  • 38.d’Isa R, Comi G, Leocani L. The 4-Hole-Board Test for Assessment of Long-Term Spatial Memory in Mice. Curr Protoc 2021; 1: 1–16. [DOI] [PubMed] [Google Scholar]
  • 39.Ferroni NM, Chertoff MJ, Alberca CD, Berardino BG, Gianatiempo O, Brahamian M et al. Oxidative stress associated with spatial memory impairment and social olfactory deterioration in female mice reveals premature aging aroused by perinatal protein malnutrition. Exp Neurol 2023; 368. doi: 10.1016/j.expneurol.2023.114481. [DOI] [PubMed] [Google Scholar]
  • 40.Berardino BG, Chertoff M, Gianatiempo O, Alberca CD, Priegue R, Fiszbein A et al. Exposure to enriched environment rescues anxiety-like behavior and miRNA deregulated expression induced by perinatal malnutrition while altering oligodendrocyte morphology. Neuroscience 2019; 408: 115–134. [DOI] [PubMed] [Google Scholar]
  • 41.Ruijter JM, Ramakers C, Hoogaars WMH, Karlen Y, Bakker O, Van Den Hoff MJB et al. Amplification efficiency: Linking baseline and bias in the analysis of quantitative PCR data. Nucleic Acids Res 2009; 37. doi: 10.1093/nar/gkp045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Ewels P, Magnusson M, Lundin S, Käller M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics 2016; 32: 3047–3048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Wingett SW, Andrews S. FastQ Screen: A tool for multi-genome mapping and quality control. F1000Research 2018; 7: 1338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Flicek P, Ahmed I, Amode MR, Barrell D, Beal K, Brent S et al. Ensembl 2013. Nucleic Acids Res 2013; 41. doi: 10.1093/NAR/GKS1236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Kim D, Paggi JM, Park C, Bennett C, Salzberg SL. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat Biotechnol 2019; 37: 907–915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 2014; 30: 923–930. [DOI] [PubMed] [Google Scholar]
  • 47.Chen Y, Lun ATL, Smyth GK. From reads to genes to pathways: Differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline. F1000Research 2016; 5. doi: 10.12688/F1000RESEARCH.8987.2/DOI. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Chen Y, Chen L, Lun ATL, Baldoni PL, Smyth GK. edgeR v4: powerful differential analysis of sequencing data with expanded functionality and improved support for small counts and larger datasets. Nucleic Acids Res 2025; 53. doi: 10.1093/NAR/GKAF018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 2014; 15: 550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Guttman M, Amit I, Garber M, French C, Lin MF, Feldser D et al. Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals. Nature 2009; 458: 223–227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Liao Q, Liu C, Yuan X, Kang S, Miao R, Xiao H et al. Large-scale prediction of long non-coding RNA functions in a coding-non-coding gene co-expression network. Nucleic Acids Res 2011; 39: 3864–3878. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Korotkevich G, Sukhov V, Budin N, Shpak B, Artyomov M, Sergushichev A. Fast gene set enrichment analysis. bioRxiv 2021. doi: 10.1101/060012. [DOI] [Google Scholar]
  • 53.Van den Bergh BRH, van den Heuvel MI, Lahti M, Braeken M, de Rooij SR, Entringer S et al. Prenatal developmental origins of behavior and mental health: The influence of maternal stress in pregnancy. Neurosci Biobehav Rev 2020; 117: 26–64. [DOI] [PubMed] [Google Scholar]
  • 54.Grande LA, Swales DA, Sandman CA, Glynn LM, Davis EP. Maternal caregiving ameliorates the consequences of prenatal maternal psychological distress on child development. Dev Psychopathol 2022; 34: 1376–1385. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Lim KY, Hong W. Neural mechanisms of comforting: Prosocial touch and stress buffering. Horm Behav 2023; 153: 105391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Servin-Barthet C, Martínez-García M, Pretus C, Paternina-Pie M, Soler A, Khymenets O et al. The transition to motherhood: linking hormones, brain and behaviour. Nat. Rev. Neurosci. 2023; 24: 605–619. [DOI] [PubMed] [Google Scholar]
  • 57.Day KR, Shea SD. Dopamine dynamics underlying maternal motivation and reward. Neurosci Res 2025; 218. doi: 10.1016/j.neures.2025.104928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Qiu J, Singh P, Pan G, de Paolis A, Champagne FA, Liu J et al. Defining the relationship between maternal care behavior and sensory development in Wistar rats: Auditory periphery development, eye opening and brain gene expression. PLoS One 2020; 15. doi: 10.1371/JOURNAL.PONE.0237933. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Champagne F a Curley JP. Epigenetic mechanisms mediating the long-term effects of maternal care on development. Neurosci Biobehav Rev 2009; 33: 593–600. [DOI] [PubMed] [Google Scholar]
  • 60.Molet J, Heins K, Zhuo X, Mei YT, Regev L, Baram TZ et al. Fragmentation and high entropy of neonatal experience predict adolescent emotional outcome. Transl Psychiatry 2016; 6. doi: 10.1038/TP.2015.200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Kikusui T, Winslow JT, Mori Y. Social buffering: relief from stress and anxiety. Philos Trans R Soc Lond B Biol Sci 2006; 361: 2215–2228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Hegoburu C, Tang Y, Niu R, Ghosh S, Triana Del Rio R, de Araujo Salgado I et al. Social buffering in rats reduces fear by oxytocin triggering sustained changes in central amygdala neuronal activity. Nat Commun 2024; 15. doi: 10.1038/S41467-024-45626-Z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Wittig RM, Crockford C, Weltring A, Langergraber KE, Deschner T, Zuberbühler K. Social support reduces stress hormone levels in wild chimpanzees across stressful events and everyday affiliations. Nat Commun 2016; 7. doi: 10.1038/NCOMMS13361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Smith AS, Wang Z. Hypothalamic oxytocin mediates social buffering of the stress response. Biol Psychiatry 2014; 76: 281–288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Menon R, Neumann ID. Detection, processing and reinforcement of social cues: regulation by the oxytocin system. Nat Rev Neurosci 2023; 24: 761–777. [DOI] [PubMed] [Google Scholar]
  • 66.Lalonde C, Grandbois J, Khurana S, Murray A, Tharmalingam S, Tai TC. Late gestational exposure to dexamethasone and fetal programming of abnormal behavior in Wistar Kyoto rats. Brain Behav 2021; 11. doi: 10.1002/BRB3.2049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Kassotaki I, Valsamakis G, Mastorakos G, Grammatopoulos DK. Placental CRH as a Signal of Pregnancy Adversity and Impact on Fetal Neurodevelopment. Front. Endocrinol. (Lausanne). 2021; 12. doi: 10.3389/fendo.2021.714214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Rigney N, De Vries GJ, Petrulis A, Young LJ. Oxytocin, Vasopressin, and Social Behavior: From Neural Circuits to Clinical Opportunities. Endocrinology 2022; 163. doi: 10.1210/ENDOCR/BQAC111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Leff-Gelman P, Pellón-Díaz G, Camacho-Arroyo I, Palomera-Garfias N, Flores-Ramos M. Neuroendocrine Regulation and Neural Circuitry of Parenthood: Integrating Neuropeptides, Brain Receptors, and Maternal Behavior. Int J Mol Sci 2025; 26. doi: 10.3390/IJMS26189007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Xie Y, Huang L, Corona A, Pagliaro AH, Shea SD. A dopaminergic reward prediction error signal shapes maternal behavior in mice. Neuron 2023; 111: 557–570.e7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Haim A, Albin-Brooks C, Brothers H, Breach M, Leuner B. Gestational stress disrupts dopamine and oxytocin signaling in the postpartum reward system of rats: implications for mood, motivation and mothering. Sci Rep 2025; 15. doi: 10.1038/S41598-024-84043-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Goodpaster CM, Christensen CR, Alturki MB, DeNardo LA. Prefrontal cortex development and its implications in mental illness. Neuropsychopharmacology 2026; 51: 114–128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Yaniv AU, Salomon R, Waidergoren S, Shimon-Raz O, Djalovski A, Feldman R. Synchronous caregiving from birth to adulthood tunes humans’ social brain. Proc Natl Acad Sci U S A 2021; 118. doi: 10.1073/PNAS.2012900118/-/DCSUPPLEMENTAL. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Chen X, McCormick EM, Ravindran N, McElwain NL, Telzer EH. Maternal emotion socialization in early childhood predicts adolescents’ amygdala-vmPFC functional connectivity to emotion faces. Dev Psychol 2020; 56: 503–515. [DOI] [PubMed] [Google Scholar]
  • 75.Humphreys KL, Camacho MC, Roth MC, Estes EC. Prenatal stress exposure and multimodal assessment of amygdala–medial prefrontal cortex connectivity in infants. Dev Cogn Neurosci 2020; 46. doi: 10.1016/j.dcn.2020.100877. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Landers MS, Sullivan RM. The development and neurobiology of infant attachment and fear. Dev Neurosci 2012; 34: 101–114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Colombel N, Ferreira G, Sullivan RM, Coureaud G. Dynamic developmental changes in neurotransmitters supporting infant attachment learning. Neurosci Biobehav Rev 2023; 151. doi: 10.1016/j.neubiorev.2023.105249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.McDonald RJ, Hong NS, Trow JS, Kaupp C, Balog RJ, Gokarn L et al. Effects of maternal social isolation on adult rodent offspring cognition. Sci Rep 2023; 13. doi: 10.1038/S41598-023-34834-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Weinstock M. Prenatal stressors in rodents: Effects on behavior. Neurobiol Stress 2017; 6: 3–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Nolvi S, Merz EC, Kataja EL, Parsons CE. Prenatal Stress and the Developing Brain: Postnatal Environments Promoting Resilience. Biol Psychiatry 2023; 93: 942–952. [DOI] [PubMed] [Google Scholar]
  • 81.Lähdepuro A, Räikkönen K, Pham H, Thompson-Felix T, Eid RS, O’connor TG et al. Maternal social support during and after pregnancy and child cognitive ability: examining timing effects in two cohorts. Psychol Med 2024; 54: 1661–1670. [DOI] [PubMed] [Google Scholar]
  • 82.Melnikova V, Lifantseva N, Voronova S, Bondarenko N. Prenatal Stress Modulates Placental and Fetal Serotonin Levels and Determines Behavior Patterns in Offspring of Mice. Int J Mol Sci 2024; 25. doi: 10.3390/IJMS252413565. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Aliyeva O, Belenichev IF, Bilai I, Duiun I, Makyeyeva L, Oksenych V et al. HSP70 Modulators for the Correction of Cognitive, Mnemonic, and Behavioral Disorders After Prenatal Hypoxia. Biomedicines 2025; 13. doi: 10.3390/BIOMEDICINES13040982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Sarikahya MH, Cousineau SL, De Felice M, Szkudlarek HJ, Wong KKW, DeVuono M V. et al. Prenatal THC exposure induces long-term, sex-dependent cognitive dysfunction associated with lipidomic and neuronal pathology in the prefrontal cortex-hippocampal network. Mol Psychiatry 2023; 28: 4234–4250. [DOI] [PubMed] [Google Scholar]
  • 85.Rezaei Z, Jafari Z, Afrashteh N, Torabi R, Singh S, Kolb BE et al. Prenatal stress dysregulates resting-state functional connectivity and sensory motifs. Neurobiol Stress 2021; 15. doi: 10.1016/j.ynstr.2021.100345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Dong Y, Weng J, Zhu Y, Sun D, He W, Chen Q et al. Transcriptomic profiling of the developing brain revealed cell-type and brain-region specificity in a mouse model of prenatal stress. BMC Genomics 2023; 24. doi: 10.1186/S12864-023-09186-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.King SE, Schatz NA, Babenko O, Ilnytskyy Y, Kovalchuk I, Metz GAS. Prenatal maternal stress in rats alters the epigenetic and transcriptomic landscape of the maternal-fetal interface across four generations. Commun Biol 2025; 8. doi: 10.1038/S42003-024-07444-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Kukharsky MS, Ninkina NN, An H, Telezhkin V, Wei W, Meritens CR de et al. Long non-coding RNA Neat1 regulates adaptive behavioural response to stress in mice. Transl Psychiatry 2020; 10. doi: 10.1038/S41398-020-0854-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Petit B, Boissy A, Zanella A, Chaillou E, Andanson S, Bes S et al. Stress during pregnancy alters dendritic spine density and gene expression in the brain of new-born lambs. Behav Brain Res 2015; 291: 155–163. [DOI] [PubMed] [Google Scholar]
  • 90.Cui W, Darby-King A, Grimes MT, Howland JG, Wang YT, McLean JH et al. Odor preference learning and memory modify GluA1 phosphorylation and GluA1 distribution in the neonate rat olfactory bulb: testing the AMPA receptor hypothesis in an appetitive learning model. Learn Mem 2011; 18: 283–291. [DOI] [PubMed] [Google Scholar]
  • 91.Becker E, Atkinson L, Gonzalez A, Khoury J. Social support buffers the impact of pregnancy stress on perceptions of parent-infant closeness during the COVID-19 pandemic. Infant Ment Health J 2024; 45: 328–340. [DOI] [PubMed] [Google Scholar]
  • 92.Schuijers M, Greenwood CJ, McIntosh JE, Youssef G, Letcher P, Macdonald JA et al. Maternal perinatal social support and infant social-emotional problems and competencies: a longitudinal cross-cohort replication study. Arch Womens Ment Health 2024; 27: 1033–1041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.de Waal N, Boekhorst MGBM, Nyklíček I, Pop VJM. Maternal-infant bonding and partner support during pregnancy and postpartum: Associations with early child social-emotional development. Infant Behav Dev 2023; 72. doi: 10.1016/j.infbeh.2023.101871. [DOI] [PubMed] [Google Scholar]
  • 94.MacMillan KK, Lewis AJ, Watson SJ, Bourke D, Galbally M. Maternal social support, depression and emotional availability in early mother-infant interaction: Findings from a pregnancy cohort. J Affect Disord 2021; 292: 757–765. [DOI] [PubMed] [Google Scholar]
  • 95.Mottl-Santiago J, Dukhovny D, Cabral H, Rodrigues D, Spencer L, Valle EA et al. Effectiveness of an Enhanced Community Doula Intervention in a Safety Net Setting: A Randomized Controlled Trial. Heal equity 2023; 7: 466–476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Stanley A, Hemphill T, Cassar L. The Doula’s Role in Reducing Postpartum Depression: A Narrative Review. MCN Am J Matern Child Nurs 2026; 51. doi: 10.1097/NMC.0000000000001187. [DOI] [PubMed] [Google Scholar]
  • 97.Kiyokawa Y, Hennessy MB. Comparative studies of social buffering: A consideration of approaches, terminology, and pitfalls. Neurosci Biobehav Rev 2018; 86: 131–141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Maffei A, Scarpa E, Patron E, Sessa P. Social anxiety influences the stress-buffering potential of social presence: Evidence from cardiovascular and affective reactivity under stress. PLoS One 2025; 20. doi: 10.1371/JOURNAL.PONE.0325303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Pei R, Courtney AL, Ferguson I, Brennan C, Zaki J. A neural signature of social support mitigates negative emotion. Sci Rep 2023; 13. doi: 10.1038/S41598-023-43273-W. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request


Articles from Research Square are provided here courtesy of American Journal Experts

RESOURCES