The importance of identifying functional Val158Met polymorphism in catechol-O- Methyltransferase when assessing MRI-based volumetric measurements in major depressive disorder.
Mario Serrano-SosaKruthika SampathgiriKarl Douglas SpuhlerChristine DeLorenzoRamin ParseyChuan HuangPublished in: Brain imaging and behavior (2021)
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.
Keyphrases
- major depressive disorder
- end stage renal disease
- bipolar disorder
- tyrosine kinase
- newly diagnosed
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- prefrontal cortex
- computed tomography
- cognitive impairment
- physical activity
- high resolution
- case control
- patient reported outcomes
- machine learning
- genome wide
- blood brain barrier
- sleep quality
- high speed