Rationale/objectives: The pathogenetic mechanism of emotion-related disorders such as anxiety disorders is considered to be complex with an interaction of genetic, biochemical, and environmental factors. Particular evidence has accumulated for alterations in the dopaminergic system-partly conferred by catechol-O-methyltransferase (COMT) gene variation-and for distorted emotional processing to constitute risk factors for anxiety and anxiety-related disorders.
Methods: Applying a multilevel approach, we analyzed the main and interactive effects of the functional COMT val158met polymorphism and L-dopa (single-dose 50 mg levodopa and 12.5 mg carbidopa; double-blind, placebo-controlled design) on the emotion-potentiated (unpleasant, neutral, and pleasant IAPS pictures) startle response as an intermediate phenotype of anxiety in a sample of 100 healthy probands (f = 52, m = 48).
Results: The COMT 158val allele was associated with an increased startle potentiation by unpleasant stimuli as compared with neutral stimuli irrespective of L-dopa or placebo intervention. COMT 158met/met genotype carriers, while displaying no difference in startle magnitude in response to unpleasant or neutral pictures in the placebo condition, showed startle potentiation by unpleasant pictures under L-dopa administration only.
Conclusions: The present proof-of-concept study provides preliminary support for a complex, multilevel impact of the dopaminergic system on the emotion-potentiated startle reflex suggesting increased phasic dopamine transmission driven by the more active COMT 158val allele and/or a single dose of L-dopa to predispose to maladaptive emotional processing and thereby potentially also to anxiety-related psychopathological states.
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http://dx.doi.org/10.1007/s00213-014-3830-9 | DOI Listing |
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Department of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
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Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel. Department of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
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