Dataset Information

The DRD3 Ser9Gly Polymorphism Predicted Metabolic Change in Drug-Naive Patients With Bipolar II Disorder.

ABSTRACT: Patients with bipolar II disorder (BDII) have a higher prevalence rate of metabolic disturbance. Whether BDII itself, in addition to its current standard treatment, is a risk factor for metabolic syndrome warrants additional study. The dopamine receptor D3 (DRD3) gene, one of the candidate genes for BDII, is also involved in the dopaminergic system. We investigated whether it is related to changes in the metabolic indices of patients with BDII given 12 weeks of standard treatment.Patients with a first diagnosis of BDII (n = 117) were recruited. Metabolic profiles (cholesterol, triglycerides, fasting serum glucose, body mass index) were measured at baseline and at 2, 8, and 12 weeks. The genotype of the DRD3 Ser9Gly polymorphism (rs6280) was determined. Multiple linear regressions with generalized estimating equation methods were used.Seventy-six (65.0%) patients completed the 12-week intervention. Significant differences in triglyceride change were associated with the DRD3 Ser9Gly genotype (P = 0.03). Patients with the Ser/Ser genotype had significantly smaller triglyceride increases and a lower risk of developing metabolic syndrome than did those with the Ser/Gly+Gly/Gly genotype. However, the associations between the DRD3 Ser9Gly polymorphism with changes in triglyceride level become nonsignificant after correcting for multiple comparisons.We conclude that the DRD3 Ser9Gly polymorphism is nominally associated with changes in triglycerides and metabolic syndrome after 12 weeks of standard BDII treatment.

SUBMITTER: Chang TT

PROVIDER: S-EPMC4998429 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The DRD3 Ser9Gly Polymorphism Predicted Metabolic Change in Drug-Naive Patients With Bipolar II Disorder.

Chang Ting-Ting TT Chen Shiou-Lan SL Chang Yun-Hsuan YH Chen Po-See PS Chu Chun-Hsien CH Chen Shih-Heng SH Huang San-Yuan SY Tzeng Nian-Sheng NS Wang Liang-Jen LJ Wang Tzu-Yun TY Li Chia-Ling CL Chung Yi-Lun YL Hsieh Tsai-Hsin TH Lee I-Hui IH Chen Kao-Ching KC Yang Yen-Kuang YK Hong Jau-Shyong JS Lu Ru-Band RB Lee Sheng-Yu SY

Medicine 20160601 24

Patients with bipolar II disorder (BDII) have a higher prevalence rate of metabolic disturbance. Whether BDII itself, in addition to its current standard treatment, is a risk factor for metabolic syndrome warrants additional study. The dopamine receptor D3 (DRD3) gene, one of the candidate genes for BDII, is also involved in the dopaminergic system. We investigated whether it is related to changes in the metabolic indices of patients with BDII given 12 weeks of standard treatment.Patients with a ...[more]

PMID: 27310943

Similar Datasets

Project description:UnlabelledInflammation is thought to be involved in the pathophysiology of bipolar disorder (BP) and metabolic syndrome. Prior studies evaluated the association between metabolic profiles and cytokines only during certain mood states instead of their changes during treatment. We enrolled drug-naïve patients with BP-II and investigated the correlation between changes in mood symptoms and metabolic indices with changes in plasma cytokine levels after 12 weeks of pharmacological treatment. Drug-naïve patients (n?=?117) diagnosed with BP-II according to DSM-IV criteria were recruited. Metabolic profiles (cholesterol, triglyceride, HbA1C, fasting serum glucose, body mass index (BMI) and plasma cytokines (TNF-?, CRP, IL-6, and TGF-?) were measured at baseline and 2, 8, and 12 weeks post-treatment. To adjust within-subject dependence over repeated assessments, multiple linear regressions with generalized estimating equation methods were used. Seventy-six (65.0%) patients completed the intervention. Changes in plasma CRP were significantly associated with changes in BMI (P?=?1.7E-7) and triglyceride (P?=?0.005) levels. Changes in plasma TGF-?1 were significantly associated with changes in BMI (P?=?8.2E-6), cholesterol (P?=?0.004), and triglyceride (P?=?0.006) levels. However, changes in plasma TNF-? and IL-6 were not associated with changes in any of the metabolic indices. Changes in Hamilton Depression Rating Scale scores were significantly associated with changes in IL-6 (P?=?0.003) levels; changes in Young Mania Rating Scale scores were significantly associated with changes in CRP (P?=?0.006) and TNF-? (P?=?0.039) levels. Plasma CRP and TGF-?1 levels were positively correlated with several metabolic indices in BP-II after 12 weeks of pharmacological intervention. We also hypothesize that clinical symptoms are correlated with certain cytokines. These new findings might be important evidence that inflammation is the pathophysiology of clinical symptoms and metabolic disturbance in BP-II.Trial registrationClinicalTrials.gov NCT01188148.

Project description:Objective:Studies on alterations in the regional neural activity in the brain of patients with bipolar disorder (BD) have provided conflicting results because of different medications used and study designs. A low bone mineral density (BMD) is also observed in patients with BD. This study aimed to further explore regional neural activities in unmedicated patients with BD and their association with BMD. Methods:In this study, 40 patients with BD and 42 healthy controls were scanned through resting-state functional magnetic resonance imaging (fMRI). Imaging data were analyzed with regional homogeneity (ReHo) and pattern classification. Pearson's correlation analyses were performed to explore the correlations between abnormal ReHo and BMD. Results:A significant increase in ReHo values in the left inferior frontal gyrus (IFG)/temporal pole, left cerebellum vermis I/vermis II/parahippocampal gyrus/brainstem, and right superior temporal gyrus (STG) and a decrease in ReHo in the occipital gyrus (OG; left middle OG/superior OG/bilateral cuneus) were found in the patients with BD (p < 0.05) compared with those in the healthy controls. No significant correlation was observed between the abnormal ReHo values in any of the brain regions of the patients with BMD.Support vector machine (SVM) analyses revealed that the ReHo values in the right STG for distinguishing patients from healthy controls showed an accuracy of 91.89%, a sensitivity of 75.68%, and a specificity of 83.78%. The ReHo values in the left cerebellum vermis I/vermis II/parahippocampal gyrus/brainstem indicated an accuracy of 78.38%, a sensitivity of 75.68%, and a specificity of 81.08%. Conclusion:This study further confirms the abnormal brain activities in extensive regions, and these brain regions are primarily located in the fronto-temporal-occipital circuit and the cerebellum vermis of patients with BD. The regional neural activity in the right STG and the left cerebellum vermis I/vermis II/parahippocampal gyrus/brainstem may serve as potential imaging markers to distinguish patients with BD from healthy controls.

Project description:The transcription factor 4 (TCF4) gene encodes a helix-loop-helix transcription factor protein, which initiates neuronal differentiation and is primarily expressed during nervous system development. The aim of the present study is to investigate the association of the TCF4 rs9960767 polymorphism and bipolar disorder, which is highly heritable. DNA isolation was performed on 95 patients with bipolar disorder and 108 healthy control subjects to examine the TCF4 rs9960767 polymorphism. Genotypic and allelic frequencies were determined using the polymerase chain reaction-restriction fragment length polymorphism method designed in our laboratory. Statistical analysis was performed using ?2 test within the 95% confidence interval. Odds ratios were calculated and Hardy-Weinberg equilibrium (HWE) was verified for all control subjects and patients. The A allele frequency was 95.8% in the patients and 94.4% in the control subjects, and 4.2% in the patients and 5.6% in the control subjects for the C allele. The genotype frequencies of the TCF4 gene rs9960767 variant were as follows: AA, 91.6% and AC, 8.4% in patients with bipolar (CC genotype was not observed in cases); AA, 89.8%; AC, 9.3% and CC, 0.9% in the control subjects. No statistically significant difference was identified between the patients and control subjects (?2=0.937; P=0.626). In addition, gender specific analysis was performed, although no significant association was found according to the gender distrubition. All patients and control subjects were in HWE (P>0.05). Statistical analysis of the data indicates that the TCF4 gene rs9960767 polymorphism is not an independent risk factor for bipolar disorder in the overall population or in terms of gender; however, an increased population size would improve the statistical power. Furthermore, additional gene variants that are specifically involved in neuronal development may be analyzed for revealing the complex genetic architecture of bipolar disorder. An improved approach would be better to evaluate the TCF4 gene in a pathway specific manner due to its role as a transcription factor.

Project description:It is unknown if young medication-naïve bipolar II (BPII) depressed patients have increased white matter (WM) disruptions. 27 each of young (average 23 years) and treatment-naïve BPII depressed, unipolar depressed (UD) patients and age-sex-education matched healthy controls (HC) underwent 3 T MRIs with diffusion tensor imaging. Diagnostic ratings included Structured Clinical Interview for DSM Disorders (SCID), Montgomery-Åsberg Depression Rating Scale (MADRS), Young Mania Rating Scale (YMRS) and Hamilton Anxiety Rating Scale (HAM-A). Patients were clinically depressed (MADRS-BPII: 26.15 [SD9.25], UD: 25.56 [5.24], p = 0.86). Compared to UD, BPII had increased family bipolarity (BPII 13.6% vs UD 2.5%, p = 0.01, φc = 0.28), hypomanic symptoms (YMRS-BPII: 4.22 [4.24], UD: 1.33 [2], p = 0.02, d = 0.87), lifetime number of depressive episodes (BPII: 2.37 [1.23], UD: 1.44 [0.75], p = 0.02, d = 0.91), lifetime and current-year number of episodes (lifetime BPII: 50.85 [95.47], UD: 1.7 [1.03]; current-year BPII: 9.93 [16.29], UD: 1.11 [0.32], ps = 0.04, ds = 0.73-0.77) and longer illness duration (BPII: 4.96 years [3.96], UD: 2.99 [3.33], p = 0.15, d = 0.54). BPII showed no increased WM disruptions vs UD or HC in any of the 15 a priori WM tracts. UD had lower right superior longitudinal fasciculus (SLF) (temporal) axial diffusivity (AD) (1.14 vs 1.17 (BPII), 1.16 (HC); F = 6.93, 95% CI of [Formula: see text]: 0.00073, 5.22, ηp2 = 0.15). Principal component analysis followed by exploratory linear discriminant analysis showed that increased R-SLF (temporal) AD, YMRS and family bipolarity distinguished BPII from UD (81.5% sensitivity, 85.2% specificity) independent of episode number and frequency. Young, medication-naïve adults with BPII depression did not show the WM disruptions distinguishing more chronically ill BP patients from UD. These WM disruptions may therefore be partly attributable to illness chronicity. Longitudinal studies should examine the trajectory of WM changes in BPII and UD and predictive validity of these baseline clinical and imaging parameters.

Dataset Information

The DRD3 Ser9Gly Polymorphism Predicted Metabolic Change in Drug-Naive Patients With Bipolar II Disorder.

Publications

The DRD3 Ser9Gly Polymorphism Predicted Metabolic Change in Drug-Naive Patients With Bipolar II Disorder.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure