Letter to the Editor PTSD and Trauma December 23, 2015

The rs1049353 Polymorphism in the CNR1 Gene Interacts With Childhood Abuse to Predict Posttraumatic Threat Symptoms

Natalie Mota, PhD; Jennifer A. Sumner, PhD; Sarah R. Lowe, PhD; Alexander Neumeister, MD; Monica Uddin, PhD; Allison E. Aiello, PhD; Derek E. Wildman, PhD; Sandro Galea, MD, PhD; Karestan C. Koenen, PhD; Robert H. Pietrzak, PhD, MPH

J Clin Psychiatry 2015;76(12):e1622-e1623

Article Abstract

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To the Editor: Posttraumatic stress disorder (PTSD) is a heterogeneous condition comprising threat/fear (eg, intrusions, avoidance, hypervigilance) and loss/dysphoria (eg, numbing, dysphoric arousal) symptoms. Contemporary scientific efforts in psychiatry, such as the National Institute of Mental Health Research Domain Criteria project, are encouraging studies of the neurobiological and behavioral underpinnings of transdiagnostic aspects of mental disorders, such as threat and loss symptoms, with the goal of developing novel, mechanism-based classifications of psychopathology, which can be used to develop more targeted treatments.

In line with such efforts, we recently found that PTSD is associated with greater cannabinoid type 1 (CB1) receptor availability4 and that greater CB1 receptor availability in the amygdala was associated with increased threat, but not loss, symptoms in trauma survivors.

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The rs1049353 Polymorphism in the CNR1 Gene Interacts With Childhood Abuse to Predict Posttraumatic Threat Symptoms

To the Editor: Posttraumatic stress disorder (PTSD) is a heterogeneous condition comprising threat/fear (eg, intrusions, avoidance, hypervigilance) and loss/dysphoria (eg, numbing, dysphoric arousal) symptoms.1,2 Contemporary scientific efforts in psychiatry, such as the National Institute of Mental Health Research Domain Criteria project, are encouraging studies of the neurobiological and behavioral underpinnings of transdiagnostic aspects of mental disorders, such as threat and loss symptoms, with the goal of developing novel, mechanism-based classifications of psychopathology, which can be used to develop more targeted treatments.3

In line with such efforts, we recently found that PTSD is associated with greater cannabinoid type 1 (CB1) receptor availability4 and that greater CB1 receptor availability in the amygdala was associated with increased threat, but not loss, symptoms in trauma survivors.5 Variation in the cannabinoid receptor type 1 (CNR1) gene may also contribute to risk for PTSD, with the A allele of rs1049353 associated with increased likelihood of PTSD.6 Additionally, rs1049353 has been found to interact with childhood physical abuse (CPA), one type of trauma that might impact the endocannabinoid system, to predict anhedonia.7 However, no study has examined associations between rs1049353 genotype—alone or interactively with CPA—and the phenotypic expression of PTSD symptoms.

Using data from the Detroit Neighborhood Health Study8,9 (DNHS), an epidemiologic study of predominantly African-American adults from urban Detroit for which data were collected from June 2008 to December 2013, we examined how rs1049353 genotype—alone and interactively with CPA—relates to severity of posttraumatic threat and loss symptoms. We hypothesized that rs1049353 genotype would specifically underlie threat, but not loss, symptoms.5 The University of Michigan Institutional Review Board approved the DNHS, and participants provided written informed consent.

Method. A total of 487 adults (mean age = 53.3 [SD = 15.6] years; 57.7% female; 82.7% African-American) provided valid data for rs1049353 and completed the PTSD Checklist10 and the Conflict Tactics Scale11 measure of CPA. We conducted a multivariate analysis of covariance (MANCOVA) to examine the relation between rs1049353 genotype (AA/AG vs GG) and CPA (alone and in interaction) as predictors of threat (sum of PTSD Checklist intrusion, avoidance, and anxious arousal) and loss (sum of numbing and dysphoric arousal) symptoms. Age, sex, lifetime trauma burden, and the first 2 principal components from a multidimensional scaling analysis of genome-wide data were included as covariates.

Results. CPA predicted threat symptoms (F1,454 = 5.59, P = .018), but main effects of rs1049353 genotype were nonsignificant (threat: F1,454 = 0.69, P = .41; loss: F1,454 = 0.51, P = .47). There was also a significant rs1049353 genotype ×— CPA interaction for threat symptoms only (F1,454 = 7.57, P = .006); minor A allele carriers with high levels of CPA reported greater threat symptoms (Figure 1). In a separate MANCOVA of the 5 PTSD symptom dimensions (reexperiencing, avoidance, anxious arousal, numbing, dysphoric arousal), this interaction also emerged for 2 of 3 dimensions of threat symptoms: avoidance (F1,454 = 6.13, P = .014) and reexperiencing (F1,454 = 6.13, P = .014).

Figure 1

Click figure to enlarge

The current findings extend our prior work implicating the endocannabinoid system in PTSD.4,5 The rs1049353 single-nucleotide polymorphism (SNP) has been found to interact with CPA to contribute to decreased anhedonia,7 and here we demonstrate that rs1049353 genotype interacts with CPA to increase severity of threat/fear, but not loss/dysphoria, symptoms of PTSD. The rs1049353 SNP is exonic, but synonymous, and may cause alterations in CNR1 protein formation during translation.7 Notably, a previous study7 observed a protective effect of the minor A allele in rs1049353 and CPA interaction in relation to anhedonia symptoms. One explanation for these results is differing demographic (eg, racial) compositions or trauma exposure characteristics of the samples; another is that the rs1049353 genotype interacts with level of CPA to predict posttraumatic threat symptoms in some CPA survivors and anhedonic symptoms in other samples of CPA survivors. Further research is needed to replicate these results and investigate underlying mechanisms.

References

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Natalie Mota, PhDa,b,j

Jennifer A. Sumner, PhDc

Sarah R. Lowe, PhDc

Alexander Neumeister, MDd

Monica Uddin, PhDe

Allison E. Aiello, PhDf

Derek E. Wildman, PhDg

Sandro Galea, MD, PhDh

Karestan C. Koenen, PhDi

Robert H. Pietrzak, PhD, MPHa,b

[email protected]

aUS Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven

bDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut

cDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York

dMitsubishi Tanabe Pharma Development America, Jersey City, New Jersey

eDepartment of Psychology, Carol R. Woese Institute for Genomic Biology, University of Illinois-Urbana Champaign, Champaign

fDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill

gCarl R. Woese Institute for Genomic Biology and Department of Molecular and Integrative Physiology, University of Illinois, Urbana

hBoston University School of Public Health, Boston, Massachusetts

iDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts

jCurrent affiliation: Department of Clinical Health Psychology, University of Manitoba, Winnipeg, Manitoba, Canada

Potential conflicts of interest: Dr Neumeister has received consulting fees from Pfizer. Dr Pietrzak is a scientific consultant to Cogstate. The other authors report no potential conflict of interest.

Funding/support: This research was funded by National Institutes of Health grants (R01DA022720, R01DA022720-S1 [PhenX], R01DA022720-S1 [Supplement], and RC1MH088283). Preparation of this report was supported in part by the US Department of Veterans Affairs National Center for Posttraumatic Stress Disorder and a private donation.

Additional information: Investigators interested in collaborating on a project using data from the Detroit Neighborhood Health Study (DNHS) can obtain information from the DNHS website: http://dnhs.unc.edu/data-requests/.

J Clin Psychiatry 2015;76(12):e1622-e1623

dx.doi.org/10.4088/JCP.15l10084

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