Genetic Distribution and Association Analysis of DRD2 Gene Polymorphisms With Major Depressive Disorder in the Chinese Han Population.
Genetic distribution and association analysis of DRD2 gene polymorphisms with major depressive disorder in the Chinese Han population.
Int J Clin Exp Pathol. 2013; 6(6): 1142-9
He M, Yan H, Duan ZX, Qu W, Gong HY, Fan ZL, Kang JY, Li BC, Wang JM
Dopamine D2 receptor is involved in reward-mediating mesocorticolimbic pathways. It plays an important role in major depressive disorder (MDD). Three gene polymorphisms Taq1A, C957T and -141C ins/del, were identified in the DRD2 gene among the Western population. These variants in the DRD2 gene might be associated with the susceptibility of MDD patients through affecting the bioeffects of endogenous dopamine neurotransmission. However, little is known about their occurrence in Chinese population and their association with the susceptibility of patients with major depressive disorder. In this study, a total of 338 unrelated adult Chinese Han population, including 224 healthy volunteers and 114 patients with major depressive disorder, were recruited. DRD2 polymorphisms (Taq1A and -141C ins/del) were detected using restriction fragment length polymorphism (RFLP) analysis and the C957T were detected by sequencing directly. As a result, three polymorphisms were identified in Chinese Han population and all were common SNP. However, we could detect no evidence of genetic association between 3 markers in DRD2 and major depressive disorder in the Chinese Han population. To conclude, this result suggests that Taq1A, C957T and -141C ins/del of DRD2 gene may not be associated with major depressive disorder, also may be the sample sizes too small to allow a meaningful test. HubMed – depression
Integration of (1)H NMR and UPLC-Q-TOF/MS for a Comprehensive Urinary Metabonomics Study on a Rat Model of Depression Induced by Chronic Unpredictable Mild Stress.
PLoS One. 2013; 8(5): e63624
Jia HM, Feng YF, Liu YT, Chang X, Chen L, Zhang HW, Ding G, Zou ZM
Depression is a type of complex psychiatric disorder with long-term, recurrent bouts, and its etiology remains largely unknown. Here, an integrated approach utilizing (1)H NMR and UPLC-Q-TOF/MS together was firstly used for a comprehensive urinary metabonomics study on chronic unpredictable mild stress (CUMS) treated rats. More than twenty-nine metabolic pathways were disturbed after CUMS treatment and thirty-six potential biomarkers were identified by using two complementary analytical technologies. Among the identified biomarkers, nineteen (10, 11, 16, 17, 21-25, and 27-36) were firstly reported as potential biomarkers of CUMS-induced depression. Obviously, this paper presented a comprehensive map of the metabolic pathways perturbed by CUMS and expanded on the multitude of potential biomarkers that have been previously reported in the CUMS model. Four metabolic pathways, including valine, leucine and isoleucine biosynthesis; phenylalanine, tyrosine and tryptophan biosynthesis; tryptophan metabolism; synthesis and degradation of ketone bodies had the deepest influence in the pathophysiologic process of depression. Fifteen potential biomarkers (1-2, 4-6, 15, 18, 20-23, 27, 32, 35-36) involved in the above four metabolic pathways might become the screening criteria in clinical diagnosis and predict the development of depression. Moreover, the results of Western blot analysis of aromatic L-amino acid decarboxylase (DDC) and indoleamine 2, 3-dioxygenase (IDO) in the hippocampus of CUMS-treated rats indicated that depletion of 5-HT and tryptophan, production of 5-MT and altered expression of DDC and IDO together played a key role in the initiation and progression of depression. In addition, none of the potential biomarkers were detected by NMR and LC-MS simultaneously which indicated the complementary of the two kinds of detection technologies. Therefore, the integration of (1)H NMR and UPLC-Q-TOF/MS in metabonomics study provided an approach to identify the comprehensive potential depression-related biomarkers and helpful in further understanding the underlying molecular mechanisms of depression through the disturbance of metabolic pathways. HubMed – depression
Relationship between left ventricular ejection fraction and depression following myocardial infarction: an original article.
ARYA Atheroscler. 2013 Jan; 9(1): 16-21
Bagherian-Sararoudi R, Gilani B, Bahrami Ehsan H, Sanei H
The aim of this study was to examine the association between left ventricular ejection fraction (LVEF) and incidence of depression following the myocardial infarction (MI).In a prospective study, 176 patients aged 32-84 years with the mean age of 56 years (SD = 10.05) with a definitive diagnosis of myocardial infarction and admitted to one of the coronary care units (CCU) of Isfahan during April to August 2006 were selected through consecutive sampling method. The demographic and medical characteristics were collected by their medical record and also the results of the LVEF assessment of the patients were obtained through echocardiography or angiography following the myocardial infarction. Thereafter, the patients were given Beck Depression Inventory for the primary care (BDI-PC) in three months after myocardial infarction. The collected data were analyzed during the hospitalization and follow-up periods using logistic regression method.The findings indicated that left ventricular dysfunction identified by the Left ventricular ejection fraction index was significantly correlated with depression three months after the myocardial infarction (P < 0.01). In addition, the exploratory model (which only includes LVEF variable) had the predictive validity of 64.8% with 55.7% sensitivity and 72.1% specificity.Left ventricular dysfunction is associated with increased risk of depression following the myocardial infarction. HubMed – depression
The Co-Occurrence of Major Depressive Disorder Among Individuals With Posttraumatic Stress Disorder: A Meta-Analysis.
J Trauma Stress. 2013 May 20;
Rytwinski NK, Scur MD, Feeny NC, Youngstrom EA
Although co-occurring posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) is associated with greater distress, impairment, and health care utilization than PTSD alone, the magnitude of this problem is uncertain. This meta-analysis aimed to estimate the mean prevalence of current MDD co-occurrence among individuals with PTSD and examine potential moderating variables (U.S. nationality, gender, trauma type, military service, referral type) that may influence the rate of PTSD and MDD co-occurrence. Meta-analytic findings (k = 57 studies; N = 6,670 participants) revealed that 52%, 95% confidence interval [48, 56], of individuals with current PTSD had co-occurring MDD. When outliers were removed, military samples and interpersonal traumas demonstrated higher rates of MDD among individuals with PTSD than civilian samples and natural disasters, respectively. U.S. nationality, gender, and referral type did not significantly account for differences in co-occurrence rates. This high co-occurrence rate accentuates the importance of routinely assessing MDD among individuals with PTSD and continuing research into the association between these disorders. HubMed – depression
Weight loss counseling lifts depression in new UMMS study – Women struggling with clinical depression and obesity should consider a comprehensive weight loss program to significantly boost their mood, according to new…