Elevated fatty acid amide hydrolase in the prefrontal cortex of borderline personality disorder: a [11C]CURB positron emission tomography study
grid.155956.b0000 0000 8793 5925Centre for Addiction and Mental Health (CAMH), Toronto, ON Canada
grid.155956.b0000 0000 8793 5925Violence Prevention Neurobiological Research Unit, CAMH, Toronto, ON Canada
grid.17063.330000 0001 2157 2938Department of Psychiatry, University of Toronto, Toronto, ON Canada
grid.17063.330000 0001 2157 2938Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON Canada
grid.440060.60000 0004 0459 5734Waypoint Centre for Mental Health Care, Penetanguishene, ON Canada
Abstract
Amygdala-prefrontal cortex (PFC) functional impairments have been linked to emotion dysregulation and aggression in borderline personality disorder (BPD). Fatty acid amide hydrolase (FAAH), the major catabolic enzyme for the endocannabinoid anandamide, has been proposed as a key regulator of the amygdala-PFC circuit that subserves emotion regulation. We tested the hypothesis that FAAH levels measured with [11C]CURB positron emission tomography in amygdala and PFC would be elevated in BPD and would relate to hostility and aggression. Twenty BPD patients and 20 healthy controls underwent FAAH genotyping (rs324420) and scanning with [11C]CURB. BPD patients were medication-free and were not experiencing a current major depressive episode. Regional differences in [11C]CURB binding were assessed using multivariate analysis of covariance with PFC and amygdala [11C]CURB binding as dependent variables, diagnosis as a fixed factor, and sex and genotype as covariates. [11C]CURB binding was marginally elevated across the PFC and amygdala in BPD (p = 0.08). In a priori selected PFC, but not amygdala, [11C]CURB binding was significantly higher in BPD (11.0%, p = 0.035 versus 10.6%, p = 0.29). PFC and amygdala [11C]CURB binding was positively correlated with measures of hostility in BPD (r > 0.4; p < 0.04). This study is the first to provide preliminary evidence of elevated PFC FAAH binding in any psychiatric condition. Findings are consistent with the model that lower endocannabinoid tone could perturb PFC circuitry that regulates emotion and aggression. Replication of these findings could encourage testing of FAAH inhibitors as innovative treatments for BPD.
Introduction
Exploring novel neurotransmitter systems to better understand the pathology of disease states holds high translational potential. The discovery of the central endocannabinoid system (ECS), including cannabinoid receptors, their endocannabinoid (EC) lipid ligands, and enzymes regulating EC function, triggered a cascade of research investigating the relationship between abnormalities of the ECS and psychiatric symptomatology [1–7]. One target of interest is fatty acid amide hydrolase (FAAH), an intracellular, membrane-bound enzyme located postsynaptic to the cannabinoid receptor type 1 (CB1) that—among others—metabolizes anandamide (AEA) [8, 9]. AEA is arguably the most relevant endogenous peroxisome proliferator-activated gamma ligand and transcription factor of the nuclear hormone receptor superfamily [10], and it also binds to the transient receptor potential vanilloid type 1 [11]. AEA is also an EC whose primary molecular target is CB1 [12]. Produced on-demand in postsynaptic membranes before engaging in retrograde feedback onto presynaptic CB1 [13], AEA causes inhibition of specific neurotransmitter release. Alteration of FAAH enzyme activity indirectly regulates CB1 function through its actions on AEA [14]. Consequently, pharmaceuticals that modulate FAAH brain levels have been vigorously pursued [15, 16], especially in light of the problematic psychiatric side effects linked to CB1 antagonists or agonists like Δ9-tetrahydrocannabinol (THC) [17].
Borderline personality disorder (BPD) is a common mental condition that afflicts 10% of psychiatric outpatients and 20% of psychiatric inpatients [18]. It presents with dysregulated affective states, often manifested by hostility and anger, which predispose to high physical aggression [19, 20]. Treatment costs of BPD and lost productivity place a substantial economic burden on society, making BPD one of the most expensive mental disorders [21]. Although the mainstay of treatment for BPD is psychotherapy, pharmacological interventions play an important role in managing the disorder, evidenced by the fact that 40% of BPD patients take three or more psychotropic medications concurrently, 20% receive four or more medications, and 10% require greater than five psychotropic medications [22]. However, it is important to note that there are no FDA-approved medications for the treatment of BPD; further, most pharmaceuticals that are used off-label have not undergone rigorous testing. Reducing polypharmacy in BPD could be achieved by the development of new evidence-based pharmacotherapeutics with greater specificity for BPD pathophysiology and its symptom clusters.
In this regard, a leading hypothesis of the pathophysiology of BPD is that it is associated with abnormal function within the amygdala-PFC circuit, which regulates emotion control. Several functional neuroimaging studies of BPD with high hostility and poor emotion control have documented abnormal circuitry between regions of the PFC and the amygdala [23, 24]. In BPD, the PFC shows impairment in regulating higher-order decision-making and fails to withhold a response or revoke a planned action [25, 26] that then manifests as hypo-responsiveness in functional imaging studies. By contrast, heightened activity of the amygdala among patients with BPD may be related to the experience of more intense negative emotionality [27]. The PFC and amygdala are among the most common brain regions of interest (ROIs) showing abnormalities in BPD [28], hence the importance of prioritizing these regions in research paradigms. An emerging body of preclinical and neuroimaging studies suggests that abnormalities in EC signaling within this system may be involved in emotion dysregulation and aggression, which are core features of BPD [29, 30]. The current model proposes that exposure to stress or adversity increases FAAH-mediated AEA hydrolysis in amygdala-PFC circuitry, thereby leading to poor emotion regulation.
The data on the status of the ECS in BPD are inconsistent. For example, higher serum levels of AEA were detected in BPD patients, some of whom had comorbid posttraumatic stress disorder (PTSD). This group was compared with subjects who had PTSD alone as well as a cohort of healthy controls [4]. However, as members from each group were using cannabis and some patients were receiving psychotropic medications, these findings remain difficult to interpret. Moreover, at present, the relationship between plasma ECs and brain function remains poorly understood [31]. For example, in healthy participants, there is no relationship between peripheral plasma levels of AEA and cerebrospinal fluid (CSF) AEA levels [32]. On the other hand, AEA concentration in the hair was found to be lower in BPD [33]. Other data have signaled that AEA may be lower in the CSF of BPD [34], which is consistent with the notion that central levels of FAAH could be higher in BPD.
Based on the current model that increased FAAH is associated with dysfunction in the amygdala-PFC circuit believed to be impaired in BPD coupled with findings of lower AEA in BPD [33, 34], we hypothesized that FAAH levels, quantified using [11C]CURB positron emission tomography (PET), would be greater in the PFC and amygdala of BPD compared with healthy controls. We also conducted exploratory analyses to determine whether measures of hostility would show an association with FAAH levels in these same regions.
Methods
All participants provided written informed consent after all study components were fully explained to them. All procedures were approved by the Research Ethics Board of the Centre for Addiction and Mental Health (CAMH) in Toronto, Ontario, Canada.
Participants
Twenty patients with a diagnosis of BPD and 20 healthy controls recruited from the community completed the investigation. BPD participants were recruited from the local Toronto community and the outpatient Borderline Personality Disorder Clinic at CAMH. All experimental subjects had been previously diagnosed with BPD. Nevertheless, the diagnosis was verified according to results from the Structured Clinical Interview for DSM-IV Axis II Disorders [35] by trained raters. All diagnoses were reviewed and confirmed by a psychiatrist experienced in the assessment and treatment of personality disorders (NJK). Exclusion criteria for the BPD participants included a current major depressive episode (MDE); history of mania, hypomania, or psychotic illness; and diagnosis of substance abuse or dependence in the past 12 months as confirmed by the Structured Clinical Interview for DSM-IV Axis I Disorders [36]. We excluded individuals with a current MDE, as is the convention for many PET studies of BPD [37, 38], given the overlap in symptomatology between the two disorders and our desire to avoid this confound. Healthy controls were excluded if they had any history of psychiatric disorder. We also excluded cigarette smokers in both groups. In addition to self-report, nonsmoking status in BPD and in the healthy control participants was confirmed with a carbon monoxide breathalyzer (piCO Smokerlyzer, Bedford Scientific Ltd., Maidstone, UK), where subjects had consistent readings of <10 parts per million. The use of psychotropic medications or herbs in the past three months was also exclusionary for BPD and healthy participants. Neurological illness, head trauma, positive drug screen for drugs of abuse on scan and assessment days, pregnancy in females, and contraindications to safe magnetic resonance imaging (MRI) scanning also precluded participation. Similar to the experimental group, healthy controls were asked to refrain from using alcohol the night before and the day of PET scanning and were also asked not to drink caffeinated beverages on the day of the PET scan.
Image acquisition and analysis
Each participant underwent one [11C]CURB PET scan at the CAMH Research Imaging Centre. [11C]CURB radiosynthesis has been previously described [39]. PET was completed with a three-dimensional HRRT brain tomograph (CPS/Siemens, Knoxville, TN, USA). Briefly, participants lay down on the scanning table with their heads immobilized with a thermoplastic mask to reduce movement. Next, a brief transmission scan was performed followed by injection of 370 ± 40 MBq (10 ± 1 mCi) of [11C]CURB [40]. [11C]CURB has been particularly noted for its high degree of specific binding following blocking with cold compounds and structurally-related compounds [41]. Brain radioactivity was quantified during sequential frames of increasing duration. The scan was 60 min. PET images were then reconstructed utilizing a filtered back-projection algorithm, with a HANN filter at Nyquist cutoff frequency [42]. After [11C]CURB injection, arterial samples were manually sampled from a radial artery at 3, 7, 12, 20, 30, 45, and 60 min and automatically for the first 22.3 min (automatic blood sampling system, Model PBS-101, Veenstra Instruments, The Netherlands). Manual and automatic arterial blood sampling were performed to assess the ratio of radioactivity in whole blood to radioactivity in plasma required to create the input function for the kinetic analysis [39]. Blood-to-plasma radioactivity ratios were interpolated by a biexponential function and parent plasma fraction by a Hill function.
Each participant completed a standard proton-density weighted brain MRI scan (TE = 17, TR = 6000, FOV = 22 cm, matrix = 256 × 256, slice thickness = 2 mm; number of excitations = 2) acquired on a Discovery MR750 3 T MRI scanner (General Electric, Milwaukee, WI, USA) for the purpose of ROI delineation. ROIs were automatically generated using the in-house software (ROMI) as previously described [43]. Time-activity curves were acquired over 60 min. in each ROI and analyzed by a two-tissue compartment model with irreversible binding to the second component [39]. The parameter of interest to quantify FAAH binding is the composite parameter λk3 (λ = K1/k2).
FAAH polymorphism genotyping
The binding affinity of [11C]CURB to FAAH is known to be affected by a single-nucleotide polymorphism in the human FAAH gene (rs324420) that involves a transversion of a cytosine to an adenine nucleoside (C385A) [44]. Relative to the C/C genotype, those homozygous or heterozygous for the A allele have reduced [11C]CURB binding (λk3) in the brain [40]. For the BPD participants and healthy controls, the FAAH rs324420 variant was genotyped according to the manufacturer’s directions for a TaqMan SNP Genotyping assay (ID C_1897306_10; Life Technologies, Burlington, ON, Canada) on a ViiA7 instrument (Life Technologies, Burlington, ON, Canada) using 20 ng total genomic DNA template, Perfecta FastMix II (Quantabio, Beverly, MA, USA), in a total reaction volume of 10 uL as previously performed [44].
Instruments
BPD subjects completed the Buss-Durkee Hostility Inventory (BDHI) [45] to assess trait aggressiveness. The Beck Depression Inventory [46] and State Trait Anxiety Inventory measured depressive and anxiety symptoms, respectively [47]. BPD subjects were also administered the Zanarini Rating Scale for Borderline Personality Disorder (ZAN-BPD) to assess severity of BPD [48]. In addition, BPD participants completed the Childhood Trauma Questionnaire-Short Form (CTQ-SF) [49] that retrospectively identifies subjects’ experience of emotional neglect, emotional abuse, physical neglect, physical abuse, and sexual abuse during childhood.
Neuropsychology tests
The Iowa Gambling Task (IGT) is a performance-based card game that indexes choice impulsivity [50]. It has been used extensively in BPD as a means to assess disadvantageous decision-making and PFC function [51, 52]. Successful performance relies on intact orbitofrontal cortex function [53]. Participants were encouraged to win as much virtual money as possible by selecting cards from four decks (A, B, C, or D) one at a time. Decks C and D produce high monetary gains and risk of high losses, whereas decks A and B yield lower gains with the risk of smaller losses. Research subjects were told that some decks are less advantageous than others and that they could win by avoiding these decks. Twenty trials were administered over five blocks for a total of 100 trials. Highly impulsive groups show the greatest impairment in performance during the latter trials of the IGT [54]. Accordingly, the net IGT was calculated by subtracting the number of cards selected from disadvantageous decks from the number of cards selected from advantageous decks over the last two blocks: ([C + D]-[A + B]) [55]. We compared PFC [11C]CURB λk3 with these two IGT outcome measures.
Statistical analysis
Sample demographic information was compared between groups using chi-square tests and independent samples t tests. To compare [11C]CURB λk3 between groups (BPD versus healthy controls), we employed full factorial multivariate analysis of covariance (MANCOVA) with diagnosis as a fixed factor and genotype as a covariate. Because the sex distribution differed between groups (see below), we additionally included sex as a covariate for the multivariate analyses. However, we also conducted analyses without sex as a covariate. The main model that was used to test our primary hypothesis included two ROIs: PFC and amygdala. Main effects were analyzed by univariate ANOVA with a p value of less than 0.05 indicating significance. Our secondary model tested the whole brain including anterior cingulate cortex (ACC), temporal cortex, insula, hippocampus, ventral striatum, dorsal putamen, dorsal caudate, and cerebellum (10 ROIs). Bonferroni correction was applied (0.05/8 secondary regions = 0.0063) to correct for multiple comparisons.
Partial correlations controlling for FAAH genotype were conducted as exploratory analyses to quantify the relationship between [11C]CURB λk3 in the hypothesized ROIs and hostility.
Results
Subject characteristics
Participants’ clinical and demographic information is reported in Table 1 (Information on comorbid conditions is presented in Supplementary Table 1). Participants were aged 18–47 years. A subset of healthy participants (n = 8) had previously participated in other PET experiments [2]. There were more females in the BPD group (n = 18) compared with the healthy control group (n = 10). Groups did not differ in terms of age, ethnicity, years of education, or body mass index. Ninety percent of BPD participants had major depressive disorder (no current MDE), while 20% had current PTSD. BPD participants were matched to healthy controls on genotype for the FAAH gene polymorphism (rs324420; C/C carriers versus A/C or A/A carriers).BPD (n = 20) Controls (n = 20) Statistics p value Age (years)a 28.0 ± 8.4 25.7 ± 8.3 t = 0.87 0.39 Sex (F/M)b 18/2 10/10 χ2 = 7.6 0.006 Ethnicityb / / χ2 = 3.7 0.45 Caucasian (#) 12 7 / / Black (#) 2 5 / / Middle Eastern (#) 0 1 / / South Asian (#) 2 2 / / Asian (#) 4 5 / / Education (years)a 14.5 ± 2.4 15.3 ± 1.8 t = −1.2 0.24 Genotype (CC or CA/AA)b 17/3 17/3 χ2 = 0 1.0 Body mass indexa 25.3 ± 6.0 23.4 ± 3.9 t = 1.2 0.24 Self-Harm % Cutting self (in past year) 75% / / / % Burning self (in past year) 35% / / / % Banging/hitting self (in past year) 85% / / / % Overdose (in past year) 45% / / / BDHIc Assault 5.0 ± 3.2 / / / Indirect 6.0 ± 2.5 / / / Irritability 8.6 ± 2.2 / / / Negativity 3.3 ± 1.5 / / / Resentment 5.6 ± 1.5 / / / Suspicion 5.2 ± 2.5 / / / Verbal 8.9 ± 3.2 / / / Guilt 5.3 ± 2.1 / / / Total 42.4 ± 12.0 / / / ZAN-BPDd 15.3 ± 4.7 / / / BDIe 21.7 ± 12.4 / / / STAIf Trait 64.6 ± 5.7 / / / State 48.7 ± 11.1 / / / CTQ-SFg Emotional neglect 3.6 ± 0.8 / / / Emotional abuse 3.6 ± 1.1 / / / Physical neglect 2.2 ± 0.8 / / / Physical abuse 2.2 ± 1.2 / / / Sexual abuse 1.8 ± 1.4 / / / Tracer specific activity (mCi/μmol)a 4149.7 ± 1110 4174.7 ± 2348 t = −0.043 0.96
Comparison of [11C]CURB λk3 in BPD and healthy control groups
We observed a trend toward an overall effect of diagnosis on [11C]CURB λk3 across the two hypothesized ROIs (F2,32 = 2.7, p = 0.08). When we reran the analyses without sex as a covariate, results remained unchanged (F2,32 = 2.2, p = 0.13). Using the effect of diagnosis in the ANCOVA for our two hypothesized ROIs (PFC and amygdala), results revealed that BPD participants had 11.0% greater PFC [11C]CURB λk3 compared with healthy controls (0.16 ± 0.025 versus 0.14 ± 0.024, F1,33 = 4.8, p = 0.035, η2 = 0.11). Results remained significant with the exclusion of sex as a covariate (F1,36 = 4.3, p = 0.044). There was no significant difference in amygdala [11C]CURB λk3 between groups (10.6% elevation; 0.15 ± 0.020 versus. 0.14 ± 0.029, F1,33 = 1.8, p = 0.29). Results similarly did not reach significance when sex was removed as a covariate (F1,36 = 3.2, p = 0.083).
No significant effect of group was detected when we sampled the 10 ROIs for the whole brain analysis (F10,24 = 1.6, p = 0.16; percentage of elevated FAAH binding in BPD for each ROI: 10.6–11.2%). When sex was removed as a covariate, results were the same (F10,27 = 1.1, p = 0.40). Many of the secondary ROIs had p values < 0.05; however, none survived Bonferroni correction. These results are presented graphically in Fig. 1 (Statistics for secondary ROIs are presented in Table 2). As expected, there was a main effect of genotype for both sets of analyses (p < 0.01). There were no significant interactions.Secondary regions of interest (BPD versus Controls) Type III sum of squares F Degrees of freedom p value Anterior cingulate cortex 0.002 5.0 1,33 0.032 Insula cortex 0.001 5.1 1,33 0.031 Temporal cortex 0.003 5.0 1,33 0.032 Hippocampus 0.002 3.4 1,33 0.075 Dorsal caudate 0.003 5.4 1,33 0.026 Dorsal putamen 0.002 3.8 1,33 0.059 Ventral striatum 0.004 6.7 1,33 0.014 Cerebellum 0.001 1.4 1,33 0.25
Effect of PTSD and anxiety on relationship between PFC and amygdala [11C]CURB λk3
Given evidence implicating FAAH in the pathogenesis of PTSD [56] and the high rate of comorbidity between PTSD and BPD, we used MANCOVA to test the effect of comorbid PTSD on PFC and amygdala [11C]CURB λk3. Twenty percent of the BPD sample screened positive for current PTSD (Supplementary Table 1). There was no significant main effect of PTSD (F2,31 = 0.49, p = 0.62). Furthermore, the effect of BPD diagnosis remained significant for PFC FAAH λk3 (F1,32 = 5.0, p = 0.032), but not amygdala FAAH λk3 (F1,32 = 1.3, p = 0.27), after controlling for genotype, sex, and the presence of PTSD.
We similarly tested whether [11C]CURB λk3 differed between each of the 10 ROIs for the following contrasts: (1) BPD with PTSD versus BPD without PTSD; (2) BPD with generalized anxiety disorder (GAD) versus BPD without GAD; (3) BPD with social anxiety disorder (SAD) versus BPD without SAD; and (4) BPD with specific phobia (SP) versus BPD without SP. There were no significant differences for any of the 10 ROIs (all p values > 0.05).
Partial correlations between [11C]CURB λk3 and hostility, depression, state and trait anxiety, CTQ-SF scores, and IGT measures
We first tested the partial correlations between PFC and amygdala [11C]CURB λk3 and BDHI subscales and total score controlling for genotype. We found a significant correlation between PFC [11C]CURB λk3 and the Resentment subscale score of the BDHI (r = 0.53, p = 0.020; Fig. 2). None of the other correlations of PFC with BDHI subscales or total scores were significant (all p values > 0.05).
We similarly discerned a significant correlation between amygdala [11C]CURB λk3 and the BDHI Guilt subscale score (r = 0.48, p = 0.038; Fig. 3).
None of the other correlations of amygdala with BDHI subscale scores were significant (all p values > 0.05). In addition, ACC [11C]CURB λk3 (r = 0.52, p = 0.021), insula [11C]CURB λk3 (r = 0.48, p = 0.039), and dorsal caudate [11C]CURB λk3 (r = 0.47, p = 0.045) were all significantly correlated with the Resentment subscale score of the BDHI.
None of the 10 ROI [11C]CURB λk3 values were significantly correlated with ZAN-BPD, CTQ-SF, depression, or anxiety scores after applying Bonferroni correction. Furthermore, PFC FAAH binding did not correlate with IGT decks ([C + D]-[A + B]) over the second last (r = 0.15, p = 0.56) and last blocks (r = 0.21, p = 0.43).
Discussion
To the best of our knowledge, this study is the first to document an elevation of PFC FAAH ([11C]CURB λk3) assessed using PET in any psychiatric disorder. Specifically, we found that BPD participants who were medication-free, nonsubstance using, nonsmoking, had no alcohol use disorder, were not experiencing an MDE, but were still engaging in non-suicidal self injury, had higher FAAH levels in the PFC compared with healthy controls. Elevated PFC FAAH persisted in BPD even after controlling for comorbid PTSD and anxiety disorders. BPD subjects also showed positive correlations between PFC, ACC, insula, dorsal caudate, and amygdala FAAH binding with measures of anger/hostility. As far as we are aware, the present study is the only PET investigation of BPD to assay a neurochemical target beyond the opioid and monoaminergic systems. Nonetheless, these results must be tempered by the relatively small sample size.
The increase in [11C]CURB λk3 was not restricted or localized to the PFC. Figure 1 generally reveals the same order of magnitude increase (10.6–11.2%) across the board in all 10 ROIs that were examined, where regional estimates of ROIs were also similar. Similarly, a global elevation of brain CB1 availability, including the amygdala and orbitofrontal cortex, has been reported in PTSD, a trauma and stressor-related disorder that shares some clinical similarities with BPD [57]. In general, regional levels of brain FAAH tend to be correlated [39] and specific binding is very high for [11C]CURB [41]. We suggest that a global binding increase of [11C]CURB λk3 may be operating in BPD with self-harming behavior. However, these results need to be replicated by independent groups to enhance these conclusions. There are very few FAAH PET studies that have sampled psychiatric patients. Yet, studies of chronic cannabis users and individuals with alcohol use disorders revealed a global decrease in [11C]CURB λk3 among all ROIs tested [1, 2]. It may be that brain markers of FAAH show differential but correlated responses in certain psychopathologies. Quantifying [11C]CURB λk3 in patients with other psychiatric disorders would help test this hypothesis.
2-Arachidonoylglycerol (2-AG) is an endogenous lipid ligand that may also be implicated in the pathogenesis of BPD given that 2-AG signaling affects stress adaptation and anxiety- or depressive-like behaviors in rodent models [58]. 2-AG is predominantly hydrolyzed by monoacylglycerol lipase (MAGL) [59]. Since MAGL inhibition has been shown to reduce anxiety- and depressive-like behaviors in preclinical models [60], therapeutics that employ MAGL inhibition could also emerge as novel treatments for BPD.
Several investigations have proposed that failure of prefrontal regulatory control mechanisms to modulate limbic hyperreactivity in BPD may predispose to hostility, impulsive aggression, and aberrant emotional processing [23, 24]. These symptoms may also occur as a result of dysfunctional prefrontal serotonergic regulation that promotes amygdala-driven emotional behavior [61]. Indeed, treatment of BPD with selective serotonin (5-HT) reuptake inhibitors increases metabolic activity in the PFC and also attenuates impulsive aggression [62]. Preclinical studies have demonstrated that inhibition or genetic deletion of FAAH increases AEA, which in turn binds to CB1 to facilitate serotonergic neurotransmission, ultimately leading to antidepressant and anxiolytic effects [63, 64]. Since FAAH inhibition is associated with increased AEA and amplification of serotonergic tone [65], we suggest that elevated FAAH, in contrast, may be a cause of reduced AEA, leading to decreased CB1 signaling, dampened serotonergic transmission, and enhanced expression of BPD symptomatology. Interestingly, preclinical designs involving sub-chronic or chronic exposure of Δ9-THC produce elevated 5-HT1A receptor activity [66] and upregulation of 5-HT2A receptors in rat PFC [67], providing further evidence of the primacy of CB1 activation in moderating serotonergic neurotransmission. Critically, there are currently no pharmaceuticals that are FDA-approved for the treatment of BPD. We propose that our results provide preliminary evidence for the testing of highly selective and reversible FAAH inhibitors as potential new pharmacological treatments for BPD.
We also found that PFC and amygdala [11C]CURB λk3 in addition to other ROIs were positively correlated with measures of anger/hostility. These analyses were exploratory and would not survive Bonferroni correction. However, given that an EC signaling system may be relevant to manifestation of aggression [68], we believe that it is justified to pursue these results. Hostility in BPD is also highly clinically relevant, as its expression is linked to the presence, number, and severity of suicide attempts [69], in addition to completed suicide in this population [70]. Δ9-THC has been shown to reduce hostile feelings within small social group settings [71], suggesting a role for the ECS and potentially other signaling pathways in mediating anger/hostility. Recent research has focused on dysregulated oxytocin function in BPD as one possible mechanism of anger/hostility. Oxytocin is a neuropeptide that has been shown to increase social affiliation and prosocial behaviors in both animals and humans [72]. Meta-analysis indicates that oxytocin also increases functional connectivity between the PFC and amygdala [73]. In BPD, oxytocin may attenuate hypervigilance to interpersonal threat and decrease amygdala hyperactivity [74]. Interestingly, preclinical data report connections between oxytocin and ECS function. Oxytocin promotes AEA signaling at CB1 in the nucleus accumbens to influence the rewarding properties of social connections. By interrupting AEA degradation, FAAH counterbalances the effects of oxytocin receptor blockade on social place preference and nucleus accumbens cFos expression [75]. For instance, administration of an oxytocin antagonist to wild-type mice reduced social conditioned place preference, whereas mice with genetic deletion of FAAH were unaffected by oxytocin antagonism and engaged in the rewarding properties of social behavior [75]. These results suggest that lower FAAH brain levels may be critical for engaging in social reward and suppression of anger/hostility. We propose that the anger and hostility characteristic of BPD could reflect the interaction of increased FAAH with deficient oxytocin signaling. Further investigations, including measurement of central oxytocin levels, would be pivotal to test this hypothesis.
We found no relationship between comorbid anxiety disorders, depressive symptoms, or state or trait measures of anxiety and [11C]CURB λk3 for any of the ROIs tested, although admittedly the sample is relatively small. These comorbidities may not explain our findings, but we do not rule out the possibility that FAAH may be dysregulated in anxiety disorders. Nevertheless, the observed correlations between PFC and amygdala [11C]CURB λk3 with measures of hostility suggest that this symptom of BPD may be uniquely related to corticolimbic FAAH levels.
We note several limitations of this investigation. First, this design cannot inform on whether the observed elevation of PFC [11C]CURB λk3 in BPD is a state or trait marker of psychopathology. Future research should endeavor to assay PFC [11C]CURB λk3 longitudinally to discern whether this biomarker is sensitive to change following clinical improvement (e.g., cessation of self-harming behavior). Second, we excluded BPD patients with certain comorbidities and those who were taking medication to eliminate potential confounds. Although we excluded patients who suffered from polymorphic psychotic symptoms and psychotic illness, the majority of the BPD participants met diagnostic criteria for dissociative experiences and transient paranoid ideation (e.g., intermittent psychotic symptoms). For example, we additionally tested whether BPD participants who endorsed micropsychotic symptoms (e.g., transient, stress-related paranoid ideation or severe dissociative symptoms—one DSM-5 criterion for BPD) had differences in FAAH binding for each ROI compared with those who did not experience micropsychotic symptoms. Seventeen BPD participants endorsed micropsychotic phenomena, whereas the remaining three individuals did not have micropsychotic symptoms. There was no difference in [11C]CURB λk3 between groups (data not shown). Thus, it could be argued that most of the subjects we sampled had mild forms of BPD, given that participants experienced micropsychotic symptoms but had no formal psychotic disorder. However, all subjects were actively self-harming, and the mean ZAN-BPD score was 15.3, which is similar to scores of BPD patients engaging in pharmacological treatment studies (17.0) [76], suggesting that BPD severity in our sample approximated the acuity of the larger population of BPD participants requiring pharmacological treatment. We also did not collect data on serum levels of ECs, such as AEA, and the N-acylethanolamides N-palmitoylethanolamine and N-oleoylethanolamine that may have shown some correlation with FAAH activity in vivo. However, brain concentrations of ECs do not correlate with peripheral concentrations in a clear-cut manner due to excess physiological factors, which currently hinders the usefulness of inferring brain activity from peripheral measures [31]. Another limitation is that we did not include clinician-administered instruments in our testing battery designed to assess for depressive symptoms. Ideally, both self-report and clinician-administered instruments should be used to assess depression severity [77]. Finally, we were unable to completely match participants on the lower affinity C385A polymorphism; that is, the control group had two A/A subjects, whereas only one BPD subject had the A/A polymorphism. However, controlling for genotype did not affect the finding. We were unable to match on sex, because we required healthy controls who met very strict inclusion and exclusion criteria (e.g., no axis I or II disorder, nonsmoking, no drug use). Therefore, we treated sex as a covariate in the analyses. There are also published [11C]CURB PET data from our laboratory that show no effect of sex on [11C]CURB λk3 in healthy and psychiatric populations (n = 66; 32 males and 34 females matched for age and body mass index; F1,58 = 0.57, p = 0.45) [1]. Finally, Of the 18 female BPD participants, nine were in the luteal phase of their menstrual cycle, six were in the follicular phase, and three suffered from amenorrhea (one suffered from polycystic ovarian syndrome, another was taking an injectable birth control medication, and the third had recently given birth). No relationship was detected between phase of menstrual cycle and FAAH binding (data not shown). Sex hormones would also be informative to test.
In conclusion, PET studies of BPD are sparse in the literature, perhaps due to the necessity of enforcing stringent inclusion and exclusion criteria [23]. Yet, the information gleaned from PET investigations is vital for characterizing novel neurochemical targets amenable to pharmacological intervention. Here, we report for the first time a small elevation of brain FAAH binding in BPD, a condition with few identified neurochemical biomarkers to date. Specifically, we found that PFC FAAH binding was elevated by 11% in BPD and that PFC and amygdala FAAH binding were positively correlated with hostility/anger, although results must be interpreted with caution given the smaller sample size. Subject to replication, these results might encourage investigation of reversible FAAH inhibitors as potential new treatment alternatives for BPD and stimulate research investigating FAAH status in conditions often co-occurring with BPD, such as major depressive disorder and substance use disorders, for which therapeutic modulation of FAAH has been proposed and the evidence base is currently stronger.
Funding and disclosure
This work was funded by a Canadian Institutes of Health Research (CIHR) Operating Grant and a CIHR Clinician Scientist Salary Award, both awarded to NJK; the Canada Research Chair Program and a CIHR Foundation Grant (FDN: 154294), awarded to RT; funding from the Centre for Addiction and Mental Health (CAMH) and CAMH Foundation, awarded to NJK and RT; and an Ontario Mental Health Foundation Operating Grant and a NIDA R21 Grant (DA036024-01) awarded to IB. All authors report no disclosures except for RT who has consulted for Quinn Emanuel and Ethismos Research Inc. during the past three years. None of these organizations had any input regarding the design and administration of this study or the interpretation of its results.
Supplementary information
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Supplementary information
Supplementary Information accompanies this paper at (10.1038/s41386-020-0731-y).