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. 2022 Apr 22;27(8):3544–3555. doi: 10.1038/s41380-022-01549-z

Impact of Fkbp5 × early life adversity × sex in humanised mice on multidimensional stress responses and circadian rhythmicity

Verena Nold 1,2,, Michelle Portenhauser 1, Dolores Del Prete 3, Andrea Blasius 1, Isabella Harris 4, Eliza Koros 1, Tatiana Peleh 1, Bastian Hengerer 1,4, Iris-Tatjana Kolassa 2, Michal Slezak 3,5, Kelly Ann Allers 1
PMCID: PMC9708571  PMID: 35449298

Abstract

The cumulative load of genetic predisposition, early life adversity (ELA) and lifestyle shapes the prevalence of psychiatric disorders. Single nucleotide polymorphisms (SNPs) in the human FKBP5 gene were shown to modulate disease risk. To enable investigation of disease-related SNPs in behaviourally relevant context, we generated humanised mouse lines carrying either the risk (AT) or the resiliency (CG) allele of the rs1360780 locus and exposed litters of these mice to maternal separation. Behavioural and physiological aspects of their adult stress responsiveness displayed interactions of genotype, early life condition, and sex. In humanised females carrying the CG- but not the AT-allele, ELA led to altered HPA axis functioning, exploratory behaviour, and sociability. These changes correlated with differential expression of genes in the hypothalamus, where synaptic transmission, metabolism, and circadian entrainment pathways were deregulated. Our data suggest an integrative role of FKBP5 in shaping the sex-specific outcome of ELA in adulthood.

Subject terms: Neuroscience, Genetics, Psychology

Introduction

Stress responses are essential to adjust physiology and behaviour to recurrently changing environmental demands [1], but corrupted stress responses are a hallmark feature of psychiatric conditions [2]. The susceptibility or resilience to develop psychiatric disorders can be attributed to interactions of genetic predispositions and environmental factors [3]. Among environmental factors, early life adversity (ELA) is found to be especially detrimental given that aberrations during development will influence the affected individuals throughout life [4]. Childhood maltreatment is common in the history of many psychiatric patients and comprises experiences of physical, sexual, and emotional abuse, as well as physical and emotional neglect [5]. Such experiences during development shape disease prevalence in later life through alterations in HPA axis programming, stress coping strategies, and brain connectivity [6]. With respect to genetic predispositions, the regulation of glucocorticoid signalling is a prominent research target since glucocorticoids are a key messenger for the spread and initiation of stress-responsive signalling. This regulation is finetuned in a timing- and dose-dependent manner and depends on the individual cellular set-up such as the relative expression of glucocorticoid receptors and its regulators [7]. Expression levels of FKBP5, a potent negative regulator of glucocorticoid signalling, is part of this cellular identity and is itself a target of glucocorticoid-mediated gene transcription [8]. Single nucleotide polymorphisms (SNPs) inside the human FKBP5 gene are associated with differential induction of the FKBP51 protein upon glucocorticoid stimulation [9] and add to the variability of stress perception and response in the population [10]. Carriers of the high induction allele rs1360780-A/T of FKBP5 who suffered from ELA are more prone to develop psychiatric symptoms in later life than individuals without such preconditioning [11]. Importantly, sex-dependent differences in the interaction of FKBP5 and life adversities have been associated to a higher prevalence of depression in females [12]. Despite the strong negative impact of psychiatric disorders on quality of life and productivity, the underlying processes linking FKBP5 genotypes, stress regulation and pathological transitions are not fully understood. Animal models offer a possibility to investigate gene × environment interactions in a timely resolved manner. In depth analyses of laboratory mouse sequences in-house indicated numerous Fkbp5 SNPs that vary by strain. However, no SNPs at the same location or with the same functional impact as found in humans occur naturally in rodents. This lack of an animal model suited to exploring human FKBP5 SNPs hinders elucidation of causal relationships and mechanisms underlying disease development and progression. Therefore, we previously generated Fkbp5-humanised mice carrying either the risk-associated high induction AT-allele of rs1360780 or the resiliency-associated CG-allele. Initial characterisation of primary CNS-cell types derived from these mice revealed that the presence of the AT-allele results in the increased expression of Fkbp5 upon stimulation of the glucocorticoid receptor compared to the CG-allele [7]. This initial characterisation prompted us to exploit this new model to examine the Fkbp5 × ELA interactions on the stress response system in adulthood. We exposed AT- and CG-allele carrying mice to prolonged maternal separation stress, since this paradigm is broadly used to mimic ELA in rodents [13]. When mice reached adulthood, the performance of the HPA axis and behavioural response of Fkbp5-humanised mice to mild stressors were measured. Furthermore, we investigated the transcriptomic profiles in several brain regions engaged in stress processing. Lastly, astrocytes and neurons derived from human induced pluripotent stem cells (hiPSCs) were analysed for SNP-based differences in their expression profiles.

The goals of the study were to validate the Fkbp5 × ELA model by (1) determining whether ELA would cause alterations in the offspring’s adult behaviour and physiology compared to controls, (2) determining whether risk AT-allele carriers would respond differently to ELA than CG-allele carriers, (3) assessing which pathways are involved in the adaptation to ELA in context of risk and resilience associated SNPs. A more far-reaching aim was to demonstrate that the humanised Fkpb5 × ELA mouse model can be used to further investigate the influence of the human FKBP5 gene variants on the risk and resilience to stress and to further elucidate their contribution to psychiatric disorders.

Results

Prolonged separation from mothers and peers was performed for the first three weeks of postnatal life to model ELA. In parallel, control mice were housed with littermates and received undisturbed maternal care until weaning. An overview of the group sizes of the cohort is provided in Table 1. On postnatal day 21, pups were weaned and grown to adulthood with physiological and behavioural examination starting at 10 weeks of age (Fig. 1). Exploration of novel environments offers an easily accessible measure of mild stress in rodents [14]. Therefore, we challenged control and ELA-exposed mice with novel situations to probe for their stress coping strategies. The same procedures were simultaneously carried out in wild type mice of both sexes to control effectiveness of the manipulations. Since the focus of this study is on the differences between the human SNPs and how these interact with ELA, the data on wild type HPA axis functioning and behaviour are visualised in Supplementary Figs. 15. Statistical analyses were performed jointly for males and females of all three lines to address differences between sex, ELA exposure, Fkbp5-genotypes and the interactions thereof. Details of the descriptive analyses, model summaries and analysis of variance (ANOVA) results are provided in Supplementary Table 140. Only the significant findings are indicated in the following paragraphs. A significant effect of sex × genotype × treatment interaction and significant two-way interactions in the vast majority of measured parameters were detected and are detailed in the following paragraphs.

Table 1.

Overview of the Study Cohort.

Genotype Early Life Sex N Litters
CG Control Male 7 2
CG Control Female 7 3
CG ELA Male 11 3
CG ELA Female 11 3
AT Control Male 7 4
AT Control Female 5 4
AT ELA Male 5 2
AT ELA Female 10 3
WT Control Male 15 6
WT Control Female 20 5
WT ELA Male 17 5
WT ELA Female 17 6

Fig. 1. Timeline of experiments.

Fig. 1

Study overview of in vivo and ex vivo experiments during the lifetime of Fkbp5-humanised mice with ELA. The same timeline, except for the maternal separation, was applied to control mice in parallel.

Early life adversity and Fkbp5-genotype shift and attenuate diurnal HPA axis rhythmicity

To measure the impact of Fkbp5 SNPs in combination with ELA on the diurnal performance of the HPA axis, the plasma corticosterone concentration of samples collected at three time points was assessed. As confirmed in the wild type mice (Supplementary Fig. 1, Supplementary Tables 13), these timepoints were reflecting the diurnal nadir (morning), peak (evening) and one intermediate state (noon).

In control females carrying the CG-allele, the expected increase of plasma corticosterone over the course of the day was observed, with a clear peak towards the evening (Fig. 2a). Following ELA exposure, the highest concentration was instead measured at noon. The increase of plasma corticosterone levels in AT-allele carrying control females was not statistically significant, regardless of ELA exposure. In addition, the morning corticosterone levels in AT- vs. CG-allele carrying females were higher, suggesting that the levels did not fully decrease to low levels for the murine resting phase. In Fkbp5-humanised males, the diurnal plasma corticosterone concentration peaked towards noon with CG- vs. AT-allele carriers showing a decrease towards the evening, regardless of ELA exposure (Fig. 2c). Given that the shift in corticosterone peak was present in males of both humanised lines, this effect is likely a feature of the human gene and not of the transgenic modification. The detected diurnal amplitude of corticosterone was smaller in males than females. The adrenal weight in female AT-allele carriers and CG-allele carrying females after ELA compared to CG-allele carrying controls was increased (Fig. 2b).

Fig. 2. Fkbp5-genotype × ELA influence the unstimulated HPA axis activity in a sex-dependent manner.

Fig. 2

Individual animal data is shown alongside with the mean (black diamond) ± 95% confidence intervals to indicate statistical differences among the subgroups. Selected results of the ANOVA at group level are indicated. All descriptive statistics, model summaries, and ANOVA results are provided in Supplementary Table 16. Diurnal rhythmicity of corticosterone plasma levels in female (a) and male (c) Fkbp5-humanised controls or ELA-exposed mice. A different scale for males than females was used to make the pattern better visible. Significant diurnal rhythm was seen in CG-allele carrying female and male controls (Inline graphic) and ELA-exposed mice (Inline graphic), as well as in AT-allele carrying control (Inline graphic) and ELA-exposed males (Inline graphic). Morning corticosterone was higher in AT- vs. CG-allele carrying females (p = 0.03, $). Comparison of adrenal weights in females (b) and males (d). Female CG-allele carrying controls differ from most other subgroups (SNP × ELA × sex p = 0.04, #).

No significant differences in the adrenal weights were observed among males (Fig. 2d), but male vs. female adrenal weights were significantly lower.

Taken together, female AT- vs. CG-allele carriers are genetically predisposed to less pronounced diurnal HPA axis rhythmicity and elevated corticosterone levels at time points when mice usually would rest. Lower diurnal corticosterone amplitudes and adrenal weights in males vs. females suggest a different corticosterone secretion capacity between sexes.

Early life adversity increases responsiveness to novel environments dependent on Fkbp5 genotype and sex

Exposure to novel environments as mild stress was applied to determine natural behaviour and coping strategies. First, behaviour in open field test arenas was assessed to obtain a measure of locomotor activity before (17:00–18:30), throughout (18:30–05:30) and after (05:30–06:00) the murine active phase. Overall activity within the first 15 minutes, including running and rearing, was assessed by measuring the frequency of crossing light beams (Fig. 3a). During this period, the activity decreased over time with early life condition and sex showing an interaction with time. As in wild type females (Supplementary Fig. 3, Supplementary Tables 1116), CG control females displayed habituation in the shape of a strong decrease in activity, while the exposure to ELA led to flattening of the 15 minutes activity profile and thus slower habituation (Fig. 3a). AT-allele carrying females tended to decrease their activity less than CG-controls, regardless of early life condition. Analyses of the total nocturnal distance revealed main effects of sex and early life condition, as well as an interaction effect of ELA × genotype (Fig. 3c). While ELA-exposed female CG-allele carriers were more active than controls, AT-allele carrying females with ELA experience were indistinguishable from controls. In males, the activity measured in the open field arena (Fig. 3b, e) were similar among groups.

Fig. 3. Sex × Fkbp5-genotype × ELA interactions alter activity in humanised mice.

Fig. 3

Individual data is shown alongside with the mean ± 95% confidence intervals to indicate statistical differences among subgroups. Selected results of the ANOVA at group level are indicated. Descriptive statistics, model summary, and ANOVA results are provided in the Supplementary Tables 11-19. Exploration activity (light beams crossing / minute) during the first 15 minutes in a novel environment in females (a) and males (b). The decrease in activity was lower in ELA-exposed than control mice (p < 0.05) and less in males than females (p = 1−5) given lower initial activity. AT- vs. CG-allele carrying controls tended to remain more active (°, p = 0.07). Total distance [km] females (c) and males (e) moved during the night. The CG-allele and ELA showed significant interaction (p = 0.01) that was most visible in females (∗), since females were more active than males (p < 1−5). Average time [s/min] females (d) and males (f) spent in the dark compartment. ELA-exposed mice were less in the dark than controls (#, p < 1−5), with the CG- vs. AT-allele tending to decrease the time in the dark ($, p = 0.08).

In the spontaneous alternations T-maze, ELA did not affect the fraction of alternations between left or right side of the maze, irrespective of genotype or sex (Supplementary Fig. 4, Supplementary Tables 2025), suggesting no impact on working memory performance. However, ELA-exposed mice performed the task significantly faster than the respective control group. Females were quicker than males.

In the dark-light test, ELA decreased the mean time spent in the dark compartment (Fig. 3d, f). This was rather the case in CG- than AT-allele carriers but not strong enough to be detected as ELA × genotype interaction. Instead, a trend for Fkbp5-genotype related effects was detected, with CG- vs. AT-allele carriers spending less time in the dark.

Finally, we measured social preference in the social chamber test in Fkbp5-humanised (Fig. 4) and wild type mice (Supplementary Fig. 5, Supplementary Tables 2631). Pairwise comparisons of compartment effect separated by early life conditions, genotype, and sex revealed significant differences. CG-allele control females showed social preference, measured by the time the mouse spent in the nearest vicinity of the cylinder with the social stimulus (Fig. 4a). The exposure to ELA led to a decrease of this parameter, while simultaneously we observed a significant increase in the time spent in 5 cm distance from the social stimulus (Fig. 4c). Matching with the time spent, CG-allele carrying females that experienced ELA moved more distance in the area surrounding the unfamiliar mouse than controls (Supplementary Fig. 6, Supplementary Tables 3237). Moreover, they moved faster than controls on the social, but not on the reference side. AT vs. CG-allele carrying control females spent less time interacting with the unfamiliar mouse. With ELA, AT-allele carrying females did not show social preference. The time in ‘social distance’ was similar in the AT-allele carrying controls and ELA-exposed females and indicated no preference for the social side. In contrast to females, the social preference was not affected by ELA in male CG-allele carriers. In AT-allele carrying males with ELA vs. controls, less time was spent with or close by the social stimulus (Fig. 4b, d).

Fig. 4. Sex × Fkbp5-genotype × ELA interactions alter social behaviour.

Fig. 4

Individual data is shown alongside with the mean ± 95% confidence intervals to indicate statistical differences among subgroups. Selected results at group level are indicated. Descriptive statistics, model summary, and ANOVA results are provided in the Supplementary Tables 2631. Time [%] females (a) and males (b) spent at the cylinder with (Soc) or without (Ref) an unfamiliar mouse. Significant social preference is indicated in CG-allele carrying controls (Inline graphic), ELA-exposed males (Inline graphic), and in AT-allele carrying controls (Inline graphic). The preference for the social compartment (p < 1−5) was more pronounced in males (p = 0.01) since only AT-allele carrying males with ELA lost the preference, while both AT- and CG-allele carrying females with ELA discriminated less between the social and reference side (ELA × SNP × sex p = 0.02). AT- vs. CG-allele carrying female controls spent less time in social interaction (Inline graphic, t(7) = 5, p = 0.001). Time [%] females (c) and males (d) spent in the area surrounding the cylinder with or without a stimulus mouse. An overall preference for the social side was present (p < 1−5) that was seen in CG-allele carriers with ELA (Inline graphic) and AT-allele carrying male controls (Inline graphic). AT- vs. CG-allele carriers (p = 0.01) and males vs. females (p = 0.04) with ELA spent less time on the social side. Both effects are attributable to CG-allele carrying females with ELA spending more time on the social side.

Overall, the data on behavioural responses to mild stress suggest that the effects of ELA on these read outs depend on the genetic variants of Fkbp5 × sex.

HPA axis responses are stronger in females than males

To probe the HPA axis reactivity to acute induction and negative feedback, we measured plasma corticosterone after five minutes of restraint stress and six hours after a single intraperitoneal injection of the synthetic glucocorticoid dexamethasone, respectively. In all mice, corticosterone increased in response to restraint stress without a differential effect of genotype. The slope was steeper in females (Fig. 5a) compared to males (Fig. 5b). Overall corticosterone levels were higher in ELA-exposed mice than controls and higher in females than males. Similarly, all mice responded to dexamethasone with reduced corticosterone levels, suggesting a suppression of the endogenous corticosterone secretion. Post hoc analyses revealed that the slope of decrease was overall steeper in females than males (Fig. 5c, d).

Fig. 5. Stimulated HPA axis reactivity in Fkbp5-humanised females is greater than in males.

Fig. 5

Individual animal data are shown alongside with the mean ± 95% confidence intervals (black) to indicate statistical differences among subgroups. Selected results at group level are indicated. Descriptive statistics, model summaries, and ANOVA results are provided in the Supplementary Tables 1 and 7-10. Acute responsiveness of the HPA axis assessed by comparison of plasma corticosterone levels before and five minutes after restraint stress in females (a) and males (b). Stress induced an increase in corticosterone (p < 1−5) with females responding more than males (p < 1−5). Overall, females vs. males (p < 1−5) and mice with ELA vs. controls had higher corticosterone levels (p = 0.04). Suppression of endogenous corticosterone production six hours after dexamethasone injection (p < 1−5) was more pronounced in females (c) than males (d, p < 1−5).

In summary, the responsiveness of the HPA axis is preserved in Fkbp5-humanised mice.

Transcription in stress-responsive brain regions is affected by Fkbp5 × ELA

To identify transcriptional differences that could be related to differences in behaviour and HPA axis physiology of Fkbp5-humanised mice × ELA, mRNA sequencing and analyses of differential gene expression were carried out. Given the behavioural and physiological findings that female AT- vs. CG-allele carriers differ, while little to no effects were seen in males, next generation sequencing was limited to Fkbp5-humanised females to identify potential transcriptomic correlates of the differences in vivo. The analyses focused on hypothalamus, ventral and dorsal hippocampus as brain regions engaged in stress regulation [15]. In the SNP-comparison among controls, more differentially expressed genes (DEGs) were found in the hypothalamus (579), followed by ventral (41) and dorsal (2) hippocampus (Table 2). Among ELA-exposed individuals, more DEGs between the SNPs were detected than in controls, underscoring the interaction of ELA × Fkbp5-genotype. Looking at the effect of ELA, fewer differences were detected in AT-allele carriers (114) than in CG-allele (903) carriers. This matches to the behaviour and HPA axis data, where few additional impact of ELA to the differences introduced by the AT-allele were seen.

Table 2.

Counts of differentially expressed genes in subgroups of Fkbp5-humanised female mice.

Comparison Tissue Direction Control ELA
Fkbp5-genotype Hypothalamus AT > CG 349 561
Hypothalamus CG > AT 230 855
Ventral Hippocampus AT > CG 18 468
Ventral Hippocampus CG > AT 23 457
Dorsal Hippocampus AT > CG 1 798
Dorsal Hippocampus CG > AT 1 844
Comparison Tissue Direction CG AT
Early life condition Hypothalamus ELA > Con 410 4
Hypothalamus  Con > ELA 195 29
Ventral Hippocampus ELA > Con 16 0
Ventral Hippocampus Con > ELA 10 0
Dorsal Hippocampus ELA > Con 145 27
Dorsal Hippocampus Con > ELA 127 54

Adopting knowledge from the SNP effects in humans, the overlap and uniqueness of the identified DEGs were analysed for nomination of potential resiliency- or vulnerability-related genes. Genes linked to CNS-development such as Mab21l2, Gart and Lipt2 were spotted as potentially vulnerability-related and were changed in opposite directions, with AT- vs. CG-allele carriers displaying a lower expression.

A second analysis focussing on gene clusters related to neurological disorders using a two-step core and comparison analysis of the commercial software Ingenuity (Qiagen) confirmed that the ELA-responsive DEGs in both mouse lines have an impact on neurological and psychiatric symptoms (Supplementary Fig. 7). In eight of the shown 30 deregulated clusters e.g., comprising ‘congenital neurological disorder’ or ‘learning’, the effects were opposite between AT- vs. CG-allele carriers.

In sum, the counts of DEGs and their accordant vs. discordant overlap suggest that the Fkbp5 × ELA interaction on gene expression may have relevance for neurologic and psychiatric symptomatology.

The AT-allele and ELA reduce CNS communication but increase metabolism

To identify how the DEGs might be linked to disorders via their role in cellular pathways, their over-representation in metabolism and signalling-related pathways listed in the Kyoto Encyclopaedia of Genes and Genomes (KEGG) was assessed. The analyses revealed significantly altered pathways in the hypothalamus and ventral hippocampus (Table 3). The direction of change between Fkbp5-genotypes differed dependent on function, with pathways related to neuronal communication rather showing a downregulation, and pathways related to metabolism rather showing an upregulation in AT- vs. CG-allele carriers. In the hypothalamus, the most significantly downregulated pathways included circadian entrainment, regulation of synaptic plasticity via long-term potentiation and depression as well as activity of dopaminergic and cholinergic synapses together with changes in calcium, cAMP, and oxytocin signalling. In the ventral hippocampus, reduced expression of genes related to synaptic communication in AT- vs. CG-allele carriers was repeated. Especially in the ELA subgroup, lower expression of genes related to cAMP signalling and dopaminergic synapses were found in AT-allele carriers compared to CG-allele carriers. Independent of strain, ELA was linked to lower expression of transcripts related to endocannabinoid and circadian entrainment relative to controls. For genes in pathways related to metabolism, such as ‘protein digestion and absorption’ in the hypothalamus or ‘ribosome’ activity and ‘oxidative phosphorylation’ in the ventral hippocampus of controls, higher expression in AT- vs. CG-allele carriers was observed.

Table 3.

Enriched KEGG pathways in Fkbp5-humanised females.

Tissue Group Comparison KEGG Pathway p Mean
Hypothalamus Overall AT vs. CG Dopaminergic synapse 0.002 −0.012
Circadian entrainment 0.003 −0.943
ECM-receptor interaction 0.007 2.702
Oxytocin signalling pathway 0.020 −0.115
Long-term potentiation 0.022 −0.189
Ras signalling pathway 0.025 −0.028
Protein digestion & absorption 0.029 2.051
Cholinergic synapse 0.030 −0.958
Long-term depression 0.037 −0.893
Calcium signalling pathway 0.041 −0.779
cAMP signalling pathway 0.049 1.689
Ventral Hippocampus overall AT vs. CG Ribosome 0.007 2.496
Phosphatidylinositol signalling 0.012 −0.470
Inositol phosphate metabolism 0.014 −0.418
cAMP signalling pathway 0.024 −0.043
Oxytocin signalling pathway 0.042 −0.804
Aldosterone synthesis & secretion 0.043 −0.818
Controls AT vs. CG Ribosome 0.014 2.252
Oxidative phosphorylation 0.030 1.950
ELA AT vs. CG Dopaminergic synapse cAMP 0.042 −0.794
signalling pathway 0.043 −0.781
overall ELA vs. Con Dopaminergic synapse 0.019 −0.218
Circadian entrainment 0.021 −0.173
Endocannabinoid signalling 0.032 −0.912

The DEGs detected in the dorsal hippocampus were not significantly overrepresented in individual KEGG pathways.

p = p-value of geometric mean, Mean = mean difference of fold changes, ECM = extracellular matrix, Ras = rat sarcoma, cAMP = adenosine 3’,5’-cyclic monophosphate, ATFkbp5 rs1360780-A/T (high induction) allele, CGFkbp5 rs1360780-C/G (resilience) allele.

The mRNA of neurons and astrocytes derived from hiPSCs of rs1360780 carriers was used to qualitatively validate the SNP-dependence of the observed differences in an independent expression system. In both cell types, similar SNP-based expression differences like in the Fkbp5-humanised mice were seen, which could indicate that less synaptic communication in AT- vs. CG-allele carriers is not an artefact from the process of generating the transgenic mice. However, the distribution within the pathways differed between hiPSC and mouse derived samples. More DEGs in the upstream vs. downstream members of the circadian entrainment pathway were seen in the Fkbp5-humanised mice, while in the hiPSCs rather downstream targets were changed (Supplementary Fig. 8). The expression patterns in astrocytes vs. neurons were more similar to the patterns seen in mice.

The KEGG pathway analyses imply that ELA and the AT-allele both lead to less entrainment of diurnal HPA axis and sleep-wake rhythmicity. This may interact with the decreased ability of AT- vs. CG-allele carriers to process incoming inputs via synaptic communication.

Lower glucocorticoid sensitivity of the Hippocampus is modulated by Fkbp5

To estimate how much impact the potentially altered glucocorticoid exposure due to differences in circadian entrainment and synaptic signalling might exert on the hypothalamus, ventral hippocampus, and dorsal hippocampus, the expression levels of genes related to glucocorticoid signalling were compared (Fig. 6). This analysis provides insights in the likelihood of the brain regions to respond to glucocorticoid stimulation. While expression levels of the glucocorticoid receptor (Nr3c1) and heat shock protein 90 (Hsp90ab1) were comparable between all three brain regions, the mineralocorticoid receptor (Nr3c2) and Fkbp5 were less expressed in hypothalamus than hippocampus. Moreover, the AT- vs. GC-allele was associated with a lower Fkbp5 expression in the hippocampus and less Hsp90ab1 in all three brain regions.

Fig. 6. Brain region specific expression levels of glucocorticoid signalling regulators.

Fig. 6

Expression levels [FPKM] of the glucocorticoid receptor (Nr3c1, GR), mineralocorticoid receptor (Nr3c2), Fkbp5 and heat shock protein 90 (Hsp90ab1) of individual female AT- or CG-allele carriers that experienced ELA or undisturbed maternal care (control) are visualised alongside with the mean ± 95% confidence intervals. Plots are shown separate for hypothalamus (top), ventral hippocampus (middle) and dorsal hippocampus (bottom). Descriptive statistics and an overview of the significant model terms in the ANOVA are provided in the Supplementary Tables 38 and 39. In all three regions, AT- vs. CG-allele carriers expressed less Hsp90 (hypothalamus p = 0.0006, ventral hippocampus p = 0.009, dorsal hippocampus p = 0.009). Fkbp5 was lower expressed in the hippocampi of AT- vs. CG-allele carriers (p = 0.01) and Nr3c2 was lower expressed in the ventral hippocampus of ELA-exposed vs. control mice (p = 0.03) as well as lower expressed in the dorsal hippocampus of AT- vs. CG-allele carriers (p = 0.03).

Considering the gene functions, the hypothalamus appears to be more sensitive to glucocorticoid receptor mediated signalling than the hippocampus, with CG- vs. AT-allele hippocampi being more protected.

DEGs in Fkbp5-humanised mice are related to differences in vivo

The decreased cerebral expression of genes related to synaptic communication in AT- vs. CG-allele carriers might be a compensatory mechanism to prevent excessive excitation. To test whether the expression levels of the identified DEGs and Fkbp5 could be linked to the observed behavioural and physiological differences, tissue-wise correlation analyses were carried out. For each brain region, the top 10 correlations are provided in the supplements (Supplementary Fig. 9, Supplementary Table 40, the full list of correlations will be provided upon request). In all three brain regions, the majority of DEGs correlated with Fkbp5. In the hypothalamus, gap junction protein β 1 (Gjb1) showed a correlation with the time spent in the dark compartment of the test arena, while the membrane-associated tyrosine-specific kinase 1 (Pkmyt1) and the nicotinic acetylcholine receptor subunit 7 (Chrna7, regression shown in Supplementary Fig. 10) were linked to morning corticosterone levels. This could indicate an association between some hypothalamic DEGs and differences in HPA axis functioning and behaviour. The limitation of the transcriptomic analyses to females was useful in identifying physiological correlates of the transcriptome.

The correlation analyses suggest a linkage between expression levels of Fkbp5 and DEGs in brain regions relevant for stress processing.

Discussion

The present study has demonstrated a gene × environment interaction in novel Fkbp5-humanised mice, indicating that the model is suited to investigate the effects of ELA in the context of risk- and resiliency-related SNPs. Early life adversity elicited by maternal separation has differential impact on adult physiology and behaviour based on genetic predisposition imparted by Fkbp5 alleles. This is demonstrated by changes in locomotor, social, and anxious behaviour. Additionally, diurnal corticosterone rhythmicity is moderately altered as seen at a functional level via HPA axis profiling and on molecular levels through altered gene expression in the circadian entrainment pathway. Differential gene expression in brain regions relevant to stress regulation shows an enrichment for pathways linked to neural communication and brain disorders. Many of the DEGs are correlated with Fkbp5 levels. In the tests utilised here, the impact of Fkbp5 SNPs and ELA was greater in females than males.

These stronger effects of Fkbp5 × ELA in female compared to male mice match previously reported sexual dimorphism in responsiveness to ELA in animals [16] and was discussed in humans [17]. Notably, ELA and sex hormones both influence maturation kinetics and thus the development of cerebral regions implicated in glucocorticoid regulation [18]. The interactions of the SNP rs1360780, sex, and ELA observed in the mice presented here and in humans [11, 12] could thus be explained by the regulatory capacity of Fkbp5 on glucocorticoid signalling. Based on sex-dependent correlations between FKBP5 levels and depression and anxiety scores as well as with nadir cortisol levels, FKBP5 was suggested as a female-specific biomarker for prolonged cortisol load and the associated risk of psychiatric disorders [19]. In line with this correlation, we observed associations between genotype and nadir corticosterone levels in Fkbp5-humanised mice, with AT-allele carrying females displaying higher morning glucocorticoid levels than CG-allele carrying females. The sexual dimorphism in the effect of ELA indicate that the novel Fkbp5-humanised mouse model offers the possibility to further investigate the networking of ELA, sex, and disease-related SNPs.

In addition, the data provide mechanistic insights into how Fkbp5 SNPs may contribute to the shaping of overall physiology and the stress response system. As negative modulator of glucocorticoid receptor maturation, Fkbp5 holds the potential to inhibit glucocorticoid signalling. At the same time, its expression depends on recent glucocorticoid exposure since Fkbp5 itself harbours glucocorticoid response elements [8]. The higher induction of the AT-allele in CNS cell types of Fkbp5-humanised mice upon glucocorticoid stimulation could thus be expected to result in stronger or longer inhibition of subsequent glucocorticoid signalling [7]. In vivo, this stronger induction of inhibitory potential via Fkbp5 in AT-allele carriers could lead to dampened negative feedback to the HPA axis and a prolonged interval of elevated glucocorticoid levels, as reflected by elevated morning corticosterone levels in AT- vs. CG-allele carrying females. The negative feedback loop is furthermore critical for the maintenance of oscillation patterns and function [20]. The reduction in the complexity of ultradian fluctuation and the resulting decreased variability of HPA axis reactivity in AT-allele carriers could decrease their flexibility to respond to novel environments. Behavioural evidence of this differential responsiveness could include the alterations in light-dark box testing, locomotor habituation, and abnormal social behaviour as seen in this study. In humans, differences in HPA axis responsiveness to environmental stimuli, e.g., in the Trier Social Stress Test, between human AT- and CG-allele carriers has been demonstrated [10]. The findings imply that Fkbp5 genotype dependent regulation of ultradian HPA axis activity might be a core molecular mechanism that contributes to the variability seen in human stress responsiveness, which ultimately plays a role in distinction between healthy adaptation or pathological alteration in the aftermath of stress [21].

Another environmental stimulus that can affect glucocorticoid rhythms is the light-dark cycle [22]. One commonly investigated manifestation of this circadian rhythmicity is the pronounced increase of glucocorticoids prior to awakening [23]. Mechanistically, the ability to detect light in the retinal ganglia and to signal this via the suprachiasmatic nucleus to the periphery is a crucial trigger for the awakening response [24]. In AT- vs. CG-allele carriers, flatter diurnal glucocorticoid profiles were paralleled by lower expression of circadian entrainment related genes even though histological analyses of the eyes (data not shown) indicated no differences in the ability to detect light. This underscores the relevance of self-maintaining feedforward and feedback loops in regulating overall physiology throughout the day. While external light signals can synchronise individuals to a 24 hours cycle [25], the internal gene expression driven clock seems to define the shape of the circadian glucocorticoid profile and thus when and how strong individuals are likely to respond to challenges. In humans, modulation of the cortisol awakening response was reported to influence their performance during the upcoming day and was dependent on the anticipation of challenges [26]. The awakening response is used clinically to identify individuals with certain personality traits that are vulnerable to develop psychiatric disorders [27], and for the diagnosis of depression [28]. Besides impaired awakening responses, differences in kinetic and responsiveness of the HPA axis, e.g. to acute stress or dexamethasone exposure, between psychiatric patients and healthy controls have been demonstrated [29]. In the present study, no disfunction of HPA axis responsiveness was observed, which indicates that the combination of ELA and genetic predisposition via the AT-allele of Fkbp5 alone might not be sufficient to cause full pathology. This is in agreement with the Research Domain Criteria framework proposing a continuum between’normal’ and’pathological’ which needs to be better understood in order to alleviate symptoms. Accordingly, the transition to pathology occurs over a lifetime and is a multidimensional process shaped by numerous genetic and environmental factors that introduce subtle changes which jointly alter networking of physiological systems [30]. As in humans, the Fkbp5-humanised mouse model demonstrates changes in basal HPA axis activity dependent on genotype and early life experience, with more prominent effects in females than males. These alterations in non-stimulated HPA axis functioning were suggested to have an impact on sleep-wake states, responsiveness to environmental stimuli and vice versa [31]. In the long run, insufficient adaptation could contribute to allostatic load and finally development of disorders [21]. However, the cumulative stress load in this study was low since the animals were not exposed to any severe or chronic stressors during later life.

Nevertheless, the Fkbp5 × ELA model shows indications of changes in the psycho-immune-neuro-endocrine system that are commonly seen in response to chronic stress. Reduced expression of immediate early genes as markers of plasticity in the prefrontal cortex and hippocampus as well as elevated mitochondrial respiration in response to repeated mild stress during adulthood was previously reported [32]. In the present study, the increased expression of genes related to oxidative phosphorylation in the hippocampus of AT- vs. CG-allele carriers is an interesting parallel, as is the reduction of genes related to synaptic communication. Reduced neural communication and plasticity might become maladaptive since dendritic retraction has been described to render the hippocampus more vulnerable to neurotoxic or metabolic challenges [33, 34]. The longer the time window of decreased plasticity and increased vulnerability exists, the higher is the likelihood of a co-incidental high metabolic demand. Stressful situations only transiently elevate energetic demands while simultaneously decreasing the neuronal supply with glucose [35]. Unique stress events may thus not cause irreversible harm to the hippocampus, and AT-allele carriers might even benefit from their inherent higher expression of mitochondrial genes. Under prolonged exposure to glucocorticoids, increased oxidative phosphorylation in AT-allele carriers might produce excessive amounts of neurotoxic reactive oxygen species which may damage the hippocampus. Findings of this study imply more glucocorticoid signalling in the hippocampus of AT- relative to CG-allele carriers since the glucocorticoid signalling inhibitor Fkbp5 had a lower expression level while nadir corticosterone levels were increased in female AT- vs. CG-allele carriers. Cumulatively, this mechanism could contribute to the loss of hippocampal volume in stress-related disorders such as depression and would explain why AT-allele carriers are more prone to develop disorders than CG-allele carriers [36]. The proposed sequence of alterations on cellular and circuitry level from healthy to allostatic load and allostatic overload conditions is outlined in Fig. 7. Assessment of behaviour and physiologic read outs in Fkbp5-humanised mice that experienced both, ELA and more severe or chronic stress paradigms, would resolve these questions.

Fig. 7. Proposed sequence of alterations in the stress response system on cellular and brain circuit level in health, allostasis, and allostatic overload.

Fig. 7

The normal induction of Fkbp5 upon challenge in CG-allele carriers with undisturbed maternal care allows for dynamic ultradian and circadian rhythms of the HPA axis (left). In parallel, the electron transport chain (ETC) in the mitochondrial membrane produces energy in the form of adenosine-triphosphate (ATP) and few reactive oxygen species (ROS), while brain regions involved in stress regulation such as hypothalamus, hippocampus, pre-frontal cortex and amygdala engage in interconnected communication. Carriers of the AT-allele, or individuals exposed to early life adversity or mild chronic stress show signs of allostatic load (centre). The affected individuals display a higher induction of Fkbp5 and an attenuated rhythmicity of the HPA axis. The associated increase in nadir glucocorticoid levels is linked to higher expression of genes related to oxidative phosphorylation, resulting in elevated mitochondrial respiration and ATP production, and to a lower expression of genes involved in synaptic communication. In the proposed triple-hit condition, a further increase in the levels of Fkbp5 could interfere with the negative feedback to the HPA axis and delay the termination of the stress response (right). As consequence of prolonged stress, the ETC might suffer from wear and tear resulting in a decreased efficiency in ATP production combined with elevated ROS generation and oxidative stress. Moreover, the reduced communication between stress-regulating brain regions could manifest in uncoupling of the brain circuits and asynchronous neural signalling. The here described Fkbp5-humanised mice will support future work to validate this scenario.

Moreover, the combination of Fkbp5 SNPs and ELA with simultaneous or sequential stress hits could enable prediction of and intervention at critical transition points during the development and progression of psychiatric symptoms.

Conclusion

The cumulative load of genetic predisposition, unfavourable environmental influences during development, and repeated exposure to stressful events increases the prevalence of psychiatric disorders in affected individuals. The glucocorticoid-induced expression of Fkbp5 is a hub for integrating lifetime and recent stressful experiences. Simultaneously, Fkbp5 modulates responsiveness to acute stressors as negative modulator of glucocorticoid signalling. The naturally occurring Fkbp5-SNPs in laboratory rodents do not feature comparable functional effects as rs1360780 in humans, where the AT- vs. CG-allele is more strongly induced by glucocorticoids and linked to the aetiology of psychiatric disorders. To enable studying in more detail the mechanistic impact of the human SNP on stress physiology and the aetiology of psychiatric disorders, Fkbp5-humanised mouse lines carrying either the AT- or CG-allele of this SNP were generated. Characterisation of the Fkbp5 × ELA mouse model showed mechanistic and face validity with aspects of psychiatric disorders. Female AT- vs. CG-allele carriers after ELA showed attenuated diurnal rhythmicity of glucocorticoids, lower activity, and less responsiveness to novel environments. On a molecular level, reduced expression of genes related to circadian entrainment and synaptic communication as well as increased expression of genes related to mitochondrial respiration between AT- vs. CG-allele carriers imply a genetic predisposition of their psycho-immune-neuro-endocrine system to allostatic changes reported in mild chronic stress settings. Since ELA lead to decreased circadian entrainment in the hippocampus, which in turn influences the circadian entrainment in the hypothalamus, the combination of ELA and Fkbp5 SNPs could synergistically modify the HPA axis to respond less to stimuli. Given that dynamic variability in glucocorticoid levels and plasticity are required for adaptation to challenges, this predisposition increases the risk of an unsuccessful resolution of allostatic loads and thus elevates the risk of developing stress-related disorders. In combination with severe or chronic stress exposure, the observed Fkbp5 × ELA interactions likely contribute to the aetiology of stress-related pathology. First indication of the transcriptomic findings in mice being translatable to man were obtained using hiPSCs differentiated into astrocytes and neurons but require further investigation due to the small sample size available. Taken together, we are confident that this novel animal model will contribute to more comprehensive analyses of FKBP5-induced alterations in the stress response network that causally lead to the development of pathology.

Supplementary information

Acknowledgements

The authors wish to thank their colleagues at Boehringer Ingelheim Margot Weiland, Sonja Diehl, Nadine Richter, Marion Trautmann, Werner Rust, Birgit Stierstorfer, Tanja Schönberger for their excellent support in processing of the obtained samples as well as Silke Laack-Reinhardt, Yvonne Schneider, Sonja Hofbauer, Ralf Weber, Britta Gerth and Lukas Schmidt for their help with breeding of the animals. The hiPSC work would not have been possible without the exceptional support of Susanne Zach (Boehringer Ingelheim), Shringarika Singh and Santiago Tena (BioMedX). We furthermore thank Michal Korostynski, Slawomir Golda, Dzesika Hoinkis and Marcin Piechota at Intelliseq for carrying out the NGS and discussing the thereof obtained data. Special thanks go to Michael Schuler for his support during the realization of the novel mouse lines together with Susie Mikkelsen at Taconic Biosciences. Lastly, the authors are grateful for the support of Elisabeth Binder at the Max Planck Institute for Psychiatry in Munich for her guidance in the conceptualization of the humanised mice and the provision with hiPSCs from SNP carriers.

Author contributions

Allers: conceptualization, maternal separation, data interpretation, revision. Blasius: T maze. Del Prete: hiPSCs cultivation, FACS, and NGS. Harris: support RNA isolation. Hengerer: conceptualization, revision. Kolassa: data interpretation, revision. Koros: support with maternal separation. Nold: conceptualization and execution, sample and data analysis, manuscript. Peleh: support social chamber test. Portenhauser: support RNA isolation, corticosterone assay, social chamber test. Slezak: conceptualization hiPSC experiments, revision

Funding

The funding for this study was provided by Boehringer Ingelheim Pharma GmbH & Co KG to provide a doctorate thesis project to Verena Nold. The company had no further influence on this work. Michal Slezak acknowledges funding from Norwegian Financial Mechanism 20142021 and operated by the Polish National Science Center under the project contract no 020/37/K/NZ3/02783.

Data availability

Raw and aggregated data will be made available upon request. The hiPSC data sets will be made available upon request. The accession code for the murine NGS data set on NCBI's Sequence Read Archive is PRJNA743189.

Code availability

The R code to process, analyse, and visualise the data will be made available upon request.

Competing interests

IH and I-TK declare no conflict of interest. KAA, AB, BH, EK, VN, TP and MP are employees at Boehringer Ingelheim Pharma GmbH & Co KG. MS and DDP were employees at BioMedX during preparation of data used in this publication.

Ethics approval

Experiments were performed under the allowance of the regional council for animal welfare (Regierungspräsidium Tübingen, Baden-Württemberg, Germany) and adhere to ARRIVE guidelines.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

The online version contains supplementary material available at 10.1038/s41380-022-01549-z.

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Associated Data

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

Supplementary Materials

Data Availability Statement

Raw and aggregated data will be made available upon request. The hiPSC data sets will be made available upon request. The accession code for the murine NGS data set on NCBI's Sequence Read Archive is PRJNA743189.

The R code to process, analyse, and visualise the data will be made available upon request.


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