COMPARISON OF THE POLYMORPHISMS OF ANDROGEN RECEPTOR GENE AND ESTROGEN α AND β GENE BETWEEN ADOLESCENT FEMALES WITH FIRST-ONSET MAJOR DEPRESSIVE DISORDER AND CONTROLS

2007 ◽  
Vol 117 (4) ◽  
pp. 539-547 ◽  
Author(s):  
YAO-GUO GENG ◽  
QIAO-RONG SU ◽  
LIN-YAN SU ◽  
QING CHEN ◽  
GUANG-YUAN REN ◽  
...  
2011 ◽  
Vol 5 (2) ◽  
pp. 123-133 ◽  
Author(s):  
Natalia Jaworska ◽  
Judy McIntosh ◽  
Crystal Villeneuve ◽  
Andrea Thompson ◽  
Derek Fisher ◽  
...  

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Shiyi Xie ◽  
Yan Hu ◽  
Li Fang ◽  
Shijia Chen ◽  
Benson O.A. Botchway ◽  
...  

Abstract Major depressive disorder is a genetic susceptible disease, and a psychiatric syndrome with a high rate of incidence and recurrence. Because of its complexity concerning etiology and pathogenesis, the cure rate of first-line antidepressants is low. In recent years, accumulative evidences revealed that oxytocin act as a physiological or pathological participant in a variety of complex neuropsychological activities, including major depressive disorder. Six electronic databases (Web of Science, PubMed, Scopus, Google Scholar, CNKI, and Wanfang) were employed for researching relevant publications. At last, 226 articles were extracted. The current review addresses the correlation of the oxytocin system and major depressive disorder. Besides, we summarize the mechanisms by which the oxytocin system exerts potential antidepressant effects, including regulating neuronal activity, influencing neuroplasticity and regeneration, altering neurotransmitter release, down regulating hypothalamic–pituitary–adrenal axis, anti-inflammatory, antioxidation, and genetic effects. Increasing evidence shows that oxytocin and its receptor gene may play a potential role in major depressive disorder. Future research should focus on the predictive ability of the oxytocin system as a biomarker, as well as its role in targeted prevention and early intervention of major depressive disorder.


2021 ◽  
pp. 1-6
Author(s):  
JianLi Wang ◽  
Debiao Liu ◽  
Guoling Li ◽  
Jin Zhu ◽  
Song Yue ◽  
...  

Abstract Background Self-efficacy is a pivotal factor in the etiology and prognosis of major depression. However, longitudinal studies on the relationship between self-efficacy and major depressive disorder (MDD) are scarce. The objectives were to investigate: (1) the associations between self-efficacy and the 1-year and 2-year risks of first onset of MDD and (2) the associations between self-efficacy and the 1-year and 2-year risks of the persistence/recurrence of MDD, in a sample of first-year university students. Methods We followed 8079 first-year university students for 2 years from April 2018 to October 2020. MDD was ascertained by the Chinese version of the Composite International Diagnostic Interview (CIDI-3.0) based on self-report. Self-efficacy was measured by the 10-item General Self-efficacy (GSE) scale. Random effect logistic regression modeling was used to estimate the associations. Results Among participants without a lifetime MDD, the data showed that participants with high baseline GSE scores were associated with a higher risk of first onset of MDD over 2 years [odds ratio (OR) 1.04, 95% confidence interval (CI) 1.01–1.08]. Among those with a lifetime MDD, participants with high baseline GSE scores were less likely to have had a MDD over 2 years (OR 0.93, 95% CI 0.88–0.99) compared to others. Conclusions A high level of GSE may be protective of the risk of persistent or recurrent MDD. More longitudinal studies in university students are needed to further investigate the impact of GSE on the first onset of MDD.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Kathryn L. Humphreys ◽  
Sarah R. Moore ◽  
Elena Goetz Davis ◽  
Julie L. MacIsaac ◽  
David T. S. Lin ◽  
...  

Abstract The stress response system is disrupted in individuals with major depressive disorder (MDD) as well as in those at elevated risk for developing MDD. We examined whether DNA methylation (DNAm) levels of CpG sites within HPA-axis genes predict the onset of MDD. Seventy-seven girls, approximately half (n = 37) of whom were at familial risk for MDD, were followed longitudinally. Saliva samples were taken in adolescence (M age = 13.06 years [SD = 1.52]) when participants had no current or past MDD diagnosis. Diagnostic interviews were administered approximately every 18 months until the first onset of MDD or early adulthood (M age of last follow-up = 19.23 years [SD = 2.69]). We quantified DNAm in saliva samples using the Illumina EPIC chip and examined CpG sites within six key HPA-axis genes (NR3C1, NR3C2, CRH, CRHR1, CRHR2, FKBP5) alongside 59 genotypes for tagging SNPs capturing cis genetic variability. DNAm levels within CpG sites in NR3C1, CRH, CRHR1, and CRHR2 were associated with risk for MDD across adolescence and young adulthood. To rule out the possibility that findings were merely due to the contribution of genetic variability, we re-analyzed the data controlling for cis genetic variation within these candidate genes. Importantly, methylation levels in these CpG sites continued to significantly predict the onset of MDD, suggesting that variation in the epigenome, independent of proximal genetic variants, prospectively predicts the onset of MDD. These findings suggest that variation in the HPA axis at the level of the methylome may predict the development of MDD.


2008 ◽  
Vol 65 (5) ◽  
pp. 513 ◽  
Author(s):  
William W. Eaton ◽  
Huibo Shao ◽  
Gerald Nestadt ◽  
Ben Hochang Lee ◽  
O. Joseph Bienvenu ◽  
...  

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