Abstract

One of the major clinical problems faced in treating posttraumatic stress disorder (PTSD) is that no single treatment is effective for every individual. With the efficacy of medications being questioned (Ipser and Stein, 2012) and the suggestion that evidence-based psychotherapies reduce rather than remit PTSD symptoms (Steenkamp and Litz, 2013), finding ways to predict who may positively respond to a particular treatment is imperative to mitigate PTSD’s negative consequences. The dopamine β-hydroxylase (DBH) gene has a functional polymorphism, rs1611115 (known as -1021C->T or C-970T), with higher plasma activity being associated with the CC genotype in Veterans without versus those with PTSD, while the DβH activity was similar among T allele genotype Veterans, with the CC genotype having overall greater activity than the T carrier genotypes (Mustapic et al., 2007). This suggests PTSD attenuates DβH activity in the higher functioning CC genotype but not in the lower functioning T carrier genotypes; possibly representing a compensatory response to prolonged PTSD hyperarousal. Nepicastat is a potent, competitive, and selective DβH inhibitor selected for study because it decreases norepinephrine (NE) more potently and specifically than disulfiram (Stanley et al., 1997). Nepicastat, like disulfiram, should reduce the abnormally high NE activity generally found in PTSD and result in reduced PTSD hyper-arousal symptoms. The purpose of this study was to compare the utility of using genetics versus functional NE biology to predict who may respond to nepicastat. This was a 6-week randomized, double-blind, multi-site, placebo-controlled study involving 22 OEF/OIF Veterans with PTSD, approved by each site’s IRB and R&D Committees. Measures included the Clinician Administered PTSD Scale – D (hyperarousal) subscale (CAPS-D), DBH genotype, and 24-hour urinary 3-methoxy-4-hydroxyphenylglycol (MHPG) sulfate form representing intra-neuronal noradrenergic metabolism (Filser et al., 1988). All participants who returned for at least one post-randomization visit (12 nepicastat and 10 placebo) were included in the intent-to-treat analysis. The primary efficacy measurement was the change in CAPS-D scores from pre- to post-treatment with the last observation carried forward. Sample consisted of 14 CC and 8 T carriers, was 45.5% White, 54.5% African-American. Alpha was retained at .05. The two treatment groups did not differ for any demographic or psychiatric co-morbid condition, or genotype (all P ≥ .080). Using a pre-post treatment repeated measure ANCOVA, controlling for ethnicity, we identified no direct treatment effect (P = .567) but did find a significant DBH genotype effect (P = .020) with the CC genotype showing greater change than the T carrier genotypes. There was no treatment by genotype interaction (P = .584). In comparison, there were no correlations between the MHPG-sulfate values and CAPS-D scores, whether examined pre-treatment, post-treatment, or for pre-post treatment changes (P > .05). Our findings suggest that a functional genetic marker for DBH may be more useful than using state-dependent measures of noradrenergic activity for predicting an individual's change in PSTD symptomatology. More generally, our results suggest further investigation is warranted to determine if using specific genetic polymorphisms are more useful than functional biologic measures in predicting an individual’s response to other targeted interventions.

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