METHODS: This is a cross-sectional study. A total of 95 female patients with MDD who met the criteria of the study were recruited and were specifically assessed on the sexual function by trained psychiatrists. Patients' DNA was genotyped for BDNF Val66Met polymorphism using real-time polymerase chain reaction.
RESULTS: The prevalence of FSD in this study is 31.6%. In the FSD group, patients with problematic marriage were significantly more frequent compared with patients who did not have problematic marriage (P = 0.009). Significant association was detected in the lubrication domain with BDNF Val66Met polymorphism (P = 0.030) using additive genetic model, with even stronger association when using the recessive model (P = 0.013).
DISCUSSION: This study suggested that there was no significant association between BDNF Val66Met with FSD. However, this polymorphism is significantly associated with lubrication disorder in patients treated with SSRIs.
METHODS: We included 33 case-mother dyads and 2 mother-only (child deceased) cases of CHA in a case-only study. Ten genes important in determining fetal exposure to serotonin reuptake inhibitors were examined: CYP1A2, CYP2C9, CYP2C19, CYP2D6, ABCB1, SLC6A4, HTR1A, HTR1B, HTR2A and HTR3B.
RESULTS: Among the exposed cases, polymorphisms that tended to be associated with an increased risk of CHA were SLC6A4 5-HTTLPR and 5-HTTVNTR, HTR1A rs1364043, HTR1B rs6296 and rs6298 and HTR3B rs1176744, but none reached statistical significance due to our limited sample sizes.
CONCLUSION: We identified several polymorphisms that might potentially affect the risk of CHA among exposed fetuses, which warrants further investigation.
METHODS: A total of 148 depressive patients receiving escitalopram 10-20 mg/day were genotyped for 5HTTLPR and rs25531 polymorphisms. Clinical assessment was done at baseline and after 4, 8, and 12 weeks using the 17-item Hamilton Depression Rating Scale (HDRS-17), Montgomery-Asberg Depression Rating Scale (MADRS), and Clinical Global Impression Scale (CGI). At the end of week 12, patients were defined as responders and non-responders based on HDRS17 and MADRS scores. Chi-square test and logistic regression analysis were performed to investigate the genotypic influence on treatment response. Comparison of continuous variables among different groups was done using Student's t test or one-way ANOVA.
RESULTS: Out of 148 study subjects, 65 (43.9%) were responders and 83 (56.08%) were non-responders. We observed a significant (p value