The importance of identifying functional Val158Met polymorphism in catechol-O- Methyltransferase when assessing MRI-base
- PDF / 579,184 Bytes
- 9 Pages / 595.276 x 790.866 pts Page_size
- 47 Downloads / 161 Views
ORIGINAL RESEARCH
The importance of identifying functional Val158Met polymorphism in catechol-O- Methyltransferase when assessing MRI-based volumetric measurements in major depressive disorder Mario Serrano-Sosa 1 & Kruthika Sampathgiri 2,3 & Karl Douglas Spuhler 1 & Christine DeLorenzo 1,2 & Ramin Parsey 1,2 & Chuan Huang 1,2,4
# Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Many studies have shown volumetric differences in the hippocampus between COMT gene polymorphisms and other studies have shown differences between depressed patients and controls; yet, few studies have been completed to identify the volumetric differences when taking both factors into consideration. Using voxel-based morphology (VBM) we investigated, in major depressive disorder (MDD) patients and healthy controls, the relationship between COMT gene polymorphism and volumetric abnormalities. Data from 60 MDD patients and 25 healthy controls were included in this study. Volumetric measurements and genotyping of COMTval158met polymorphism were conducted to determine its impact on gray matter volume (GMV) in the hippocampus and amygdala using a Met dominant model (Val/Val vs Met/Val & Met/Met). In the analysis, a significant difference in the right hippocampus (p = 0.015), right amygdala (p = 0.003) and entire amygdala (p = 0.019) was found between the interaction of diagnosis and genotype after MRI scanner, age and sex correction. Healthy controls (HC) with the Met dominant genotype exhibited a larger right hippocampal, right amygdalar and entire amydgalar volume than MDD patients with the Met dominant genotype. Conversely, HC with the Val/Val genotype displayed a lower right hippocampal, right amygdalar and entire amygdalar volume than their MDD counterparts. This study shows that COMT polymorphism and depression may have a confounding effect on neuroimaging studies. Keywords COMTval158met . Polymorphism . Major depressive disorder . Brain morphology . Hippocampus
Introduction Major depressive disorder (MDD) affects 350 million people worldwide and is a debilitating chronic disease that impacts 1
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11682-019-00225-1) contains supplementary material, which is available to authorized users. * Chuan Huang [email protected] 1
Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA
2
Department of Psychiatry, Stony Brook Medicine, Stony Brook, NY, USA
3
Albert Einstein Medical Center, Philadelphia, PA, USA
4
Department of Radiology, Stony Brook Medicine, Stony Brook, NY, USA
in 6 people in the United States during their lifetime (Kessler et al. 2005; Organization 2012). It is difficult to diagnose and effectively treat depression due to its heterogenous symptomology and comorbidity with other diseases (ten Have et al. 2016; Unick et al. 2009; Zimmermann et al. 2009). Symptomology may be related to changes in gray matter volume (GMV) or monoamine levels. Within the limbic s
Data Loading...
