BACKGROUND: The catechol-O-methyltransferase (COMT) gene val158met polymorphism (rs4680) has been found to be associated with various psychiatric phenotypes including panic disorder. Considering the probable genetic influence of COMT on the pathogenesis of panic disorder and white matter connectivity, the present study investigated white matter connectivity using diffusion tensor imaging in relation to the COMT genotype in panic disorder. METHODS: Twenty-six patients with panic disorder and twenty-six age- and gender-matched healthy controls participated in this study. Brain magnetic resonance scans and genotype analysis for COMT rs4680 were conducted. Panic Disorder Severity Scale, Albany Panic and Phobia Questionnaire, and Anxiety Sensitivity Inventory-Revised were assessed. Tract-based spatial statistics (TBSS) were used for image analysis. RESULTS: There was no significant difference in white matter analysis between panic disorder and healthy controls. However, TBSS analysis showed increased fractional anisotropy (FA) in posterior thalamic radiation, posterior and superior corona radiata, superior longitudinal fasciculus, and sagittal stratum, all located in the right hemisphere in COMT AA/AG genotype group compared to GG genotype in panic disorder. Voxelwise correlational analysis revealed the symptom severity scores are correlated with the FA in white matter tracts that previously showed significant group differences between AA/AG and GG genotypes in COMT AA/AG genotype group, while no significant correlation was found in GG genotype group. LIMITATIONS: The sample size in each group was small, hence, further studies with larger numbers of patients are needed to confirm our findings. CONCLUSIONS: These data suggested that COMT rs4680 could affect the white matter connectivity in panic disorder.
BACKGROUND: The catechol-O-methyltransferase (COMT) gene val158met polymorphism (rs4680) has been found to be associated with various psychiatric phenotypes including panic disorder. Considering the probable genetic influence of COMT on the pathogenesis of panic disorder and white matter connectivity, the present study investigated white matter connectivity using diffusion tensor imaging in relation to the COMT genotype in panic disorder. METHODS: Twenty-six patients with panic disorder and twenty-six age- and gender-matched healthy controls participated in this study. Brain magnetic resonance scans and genotype analysis for COMTrs4680 were conducted. Panic Disorder Severity Scale, Albany Panic and Phobia Questionnaire, and Anxiety Sensitivity Inventory-Revised were assessed. Tract-based spatial statistics (TBSS) were used for image analysis. RESULTS: There was no significant difference in white matter analysis between panic disorder and healthy controls. However, TBSS analysis showed increased fractional anisotropy (FA) in posterior thalamic radiation, posterior and superior corona radiata, superior longitudinal fasciculus, and sagittal stratum, all located in the right hemisphere in COMT AA/AG genotype group compared to GG genotype in panic disorder. Voxelwise correlational analysis revealed the symptom severity scores are correlated with the FA in white matter tracts that previously showed significant group differences between AA/AG and GG genotypes in COMT AA/AG genotype group, while no significant correlation was found in GG genotype group. LIMITATIONS: The sample size in each group was small, hence, further studies with larger numbers of patients are needed to confirm our findings. CONCLUSIONS: These data suggested that COMTrs4680 could affect the white matter connectivity in panic disorder.
Authors: A S Howe; H N Buttenschøn; A Bani-Fatemi; E Maron; T Otowa; A Erhardt; E B Binder; N O Gregersen; O Mors; D P Woldbye; K Domschke; A Reif; J Shlik; S Kõks; Y Kawamura; A Miyashita; R Kuwano; K Tokunaga; H Tanii; J W Smoller; T Sasaki; D Koszycki; V De Luca Journal: Mol Psychiatry Date: 2015-09-22 Impact factor: 15.992
Authors: Borah Kim; Jeong Hoon Kim; Min-Kyoung Kim; Kang Soo Lee; Youngki Kim; Tai Kiu Choi; Yun Tai Kim; Sang-Hyuk Lee Journal: PLoS One Date: 2014-04-30 Impact factor: 3.240
Authors: Eunho Kang; Ah Young Choe; Borah Kim; Jun-Yeob Lee; Tai Kiu Choi; Hae-Ran Na; Sang-Hyuk Lee Journal: J Korean Med Sci Date: 2016-03-28 Impact factor: 2.153