Serotonin receptor 1A promoter polymorphism, rs6295, modulates human anxiety levels via altering parasympathetic nervous activity.

OBJECTIVE: The G-allele of the -1019C/G (rs6295) promoter polymorphism of the serotonin receptor 1A (HTR1A) gene has been implicated in anxiety; however, the underlying neurophysiological processes are still not fully understood. Recent evidence indicates that low parasympathetic (vagal) tone is predictive of anxiety. We thus conducted a structural equation model (SEM) to examine whether the HTR1A rs6295 variant can affect anxiety by altering parasympathetic nervous activity. METHOD: A sample of 1141 drug-free healthy Han Chinese was recruited for HTR1A genotyping. Autonomic nervous function was assessed by short-term spectral analysis of heart rate variability (HRV). Anxiety and stress levels were evaluated by the Beck Anxiety Inventory (BAI) and the Perceived Stress Scale (PSS) respectively. RESULTS: The number of the HTR1A G allele was inversely correlated with high-frequency power (HF), a parasympathetic index of HRV. The HF index was negatively associated with BAI scores. Furthermore, the good-fitting SEM, adjusting for confounding variables (e.g., age and PSS levels), revealed a significant pathway linking rs6295 variant to BAI scores via HF index modulation. CONCLUSION: These results are the first to show that HTR1A -1019C/G polymorphism influences anxiety levels by modulating parasympathetic tone, providing a neurophysiological insight into the role of HTR1A in human anxiety.

Insight, self-stigma and psychosocial outcomes in Schizophrenia: a structural equation modelling approach.

AIMS: Poor insight is prevalent in patients with schizophrenia and has been associated with acute illness severity, medication non-adherence and poor treatment outcomes. Paradoxically, high insight has been associated with various undesirable outcomes, including low self-esteem, depression and low subjective quality of life (QoL) in patients with schizophrenia. Despite the growing body of studies conducted in Western countries supporting the pernicious effects of improved insight in psychosis, which bases on the level of self-stigma, the effects are unclear in non-Western societies. The current study examined the role of self-stigma in the relationship between insight and psychosocial outcomes in a Chinese population. METHODS: A total of 170 outpatients with schizophrenia spectrum disorders were recruited from two general university hospitals. Sociodemographic data and clinical variables were recorded and self-report scales were employed to measure self-stigma, depression, insight, self-esteem and subjective QoL. Structural equation modelling (SEM) was used to analyse the cross-sectional data. RESULTS: High levels of self-stigma were reported by 39% of the participants (n = 67). The influences of insight, self-stigma, self-esteem and depression on subjective QoL were confirmed by the SEM results. Our model with the closest fit to the data (χ 2 = 33.28; df = 20; p = 0.03; χ 2/df = 1.66; CFI = 0.98; TLI = 0.97; RMSEA = 0.06) demonstrated that self-stigma might fully mediate the association of insight with low self-esteem, depression and poor subjective QoL. High insight into illness contributed to self-stigma, which caused low self-esteem and depression and, consequently, low QoL. Notably, insight did not directly affect self-esteem, depression or QoL. Furthermore, the association of insight with poor psychosocial outcomes was not moderated by self-stigma. CONCLUSIONS: Our findings support the mediating model of insight relevant to the poor psychosocial outcomes of individuals diagnosed with schizophrenia in non-Western societies, in which self-stigma plays a pivotal role. These findings elucidate the direct and indirect effects of insight on psychosocial outcomes and imply that identifying and correcting self-stigma in people with schizophrenia could be beneficial. Additional studies are required to identify whether several other neurocognitive or psychosocial variables mediate or moderate the association of insight with self-esteem, depression and QoL in patients with schizophrenia. Studies with detailed longitudinal assessments are necessary to confirm our findings.

Correlation of plasma brain-derived neurotrophic factor and metabolic profiles in drug-naïve patients with bipolar II disorder after a twelve-week pharmacological intervention.

OBJECTIVE: Brain-derived neurotrophic factor (BDNF) is thought to be involved in the pathophysiology of bipolar disorder (BD) and metabolic syndrome. We investigated the correlation between plasma BDNF with mood symptoms and metabolic indices in patients with BD-II over a 12-week pharmacological intervention. METHOD: Drug-naïve patients with BD-II (n=117) were recruited. Metabolic profiles [cholesterol, triglyceride, HbA1C, fasting serum glucose, body mass index (BMI)] and plasma BDNF wtrun "tblautotrun "tblsctrun "tbl_contere measured at baseline and 2, 8, and 12 weeks after beginning medication. To adjust within-subject dependence over repeated assessments, multiple linear regressions with generalized estimating equation methods were used. RESULTS: Seventy-six (65.0%) patients completed the intervention. Plasma BDNF levels were significantly associated with BMI (P=9.6E-5), low-density lipoprotein (P=0.034) and total (P=0.001) cholesterol, but not with the Hamilton Depression Rating Scale-17 and Young Mania Rating Scale scores over the 12-week treatment. CONCLUSION: We found initial evidence of a positive correlation between plasma BDNF levels and BMI, low-density lipoprotein and total cholesterol in drug-naïve patients with BD-II. The specific function of BDNF in regulating and maintaining peripheral metabolic health requires additional investigation.