Shared genetic influences on depression and menopause symptoms.

BACKGROUND: Women experience major depression and post-traumatic stress disorder (PTSD) approximately twice as often as men. Estrogen is thought to contribute to sex differences in these disorders, and reduced estrogen is also known to be a key driver of menopause symptoms such as hot flashes. Moreover, estrogen is used to treat menopause symptoms. In order to test for potential shared genetic influences between menopause symptoms and psychiatric disorders, we conducted a genome-wide association study (GWAS) of estrogen medication use (as a proxy for menopause symptoms) in the UK Biobank. METHODS: The analysis included 232 993 women aged 39-71 in the UK Biobank. The outcome variable for genetic analyses was estrogen medication use, excluding women using hormonal contraceptives. Trans-ancestry GWAS meta-analyses were conducted along with genetic correlation analyses on the European ancestry GWAS results. Hormone usage was also tested for association with depression and PTSD. RESULTS: GWAS of estrogen medication use (compared to non-use) identified a locus in the TACR3 gene, which was previously linked to hot flashes in menopause [top rs77322567, odds ratio (OR) = 0.78, p = 7.7 × 10-15]. Genetic correlation analyses revealed shared genetic influences on menopause symptoms and depression (rg = 0.231, s.e.= 0.055, p = 2.8 × 10-5). Non-genetic analyses revealed higher psychiatric symptoms scores among women using estrogen medications. CONCLUSIONS: These results suggest that menopause symptoms have a complex genetic etiology which is partially shared with genetic influences on depression. Moreover, the TACR3 gene identified here has direct clinical relevance; antagonists for the neurokinin 3 receptor (coded for by TACR3) are effective treatments for hot flashes.

Metabolic dysfunction in women with bipolar disorder: the potential influence of family history of type 2 diabetes mellitus.

OBJECTIVE: Overweight/obesity, insulin resistance (IR), and other types of metabolic dysfunction are common in patients with bipolar disorder (BD); however, the pathophysiological underpinnings of metabolic dysfunction in BD are not fully understood. Family history of type 2 diabetes mellitus (FamHxDM2), which has been shown to have deleterious effects on metabolic function in the general population, may play a role in the metabolic dysfunction observed in BD. METHODS: Using multivariate analysis of variance, the effects of BD illness and/or FamHxDM2 were examined relative to metabolic biomarkers in 103 women with BD and 36 healthy, age-matched control women. RESULTS: As a group, women with BD had higher levels of fasting plasma insulin (FPI) and fasting plasma glucose (FPG), higher homeostatic assessment of IR (HOMA-IR) scores, body mass index (BMI), waist circumference (WC), and hip circumference (HC) compared to control women. FamHxDM2 was associated with significantly worse metabolic biomarkers among women with BD but not among healthy control women. Among women with BD, there was a significant main effect of FamHxDM2 on FPI, HOMA-IR, BMI, WC, and HC, even after controlling for type of BD illness, duration of medication exposure, and depression severity. Metabolic biomarkers were not influenced by use of weight-liable psychotropic medication (WLM), even after controlling for type of BD illness, duration of medication exposure, and depression severity. CONCLUSIONS: Women with BD have overall worse metabolic biomarkers than age-matched control women. The use of WLM, duration of medication use, type of BD illness, and depression severity did not appear to be associated with more pronounced metabolic dysfunction. FamHxDM2 may represent a risk factor for the development of IR in women with BD. Further, focused studies of the endocrine profiles of families of BD patients are needed.

Gender-specific lipid profiles in patients with bipolar disorder.

OBJECTIVE: High rates of dyslipidemia and insulin resistance (IR) are reported in patients with bipolar disorder (BD). We assessed gender effects upon rates of dyslipidemia/IR in outpatients with BD. METHODS: Data from 491 outpatients (ages 18-88) seen in the Stanford Bipolar Disorders clinic between 2000 and 2007 were evaluated. Patients were followed longitudinally and received naturalistic treatment. BD patients (n = 234; 61% female; 42% Type I, 47% Type II, 11% NOS) with a mean age of 40.3 ± 14.0 years, mean BMI 26.8 ± 6.4, and 81% Caucasian, who had one of four lipid measures (total cholesterol, LDL, HDL, TG) at clinicians' discretion, a psychiatry clinic visit within 2 months of laboratory, and were not medicated for dyslipidemia were included. IR was imputed from TG/HDL ratio. RESULTS: Women, compared with men, had significantly lower mean triglycerides (105.58 ± 64.12 vs. 137.99 ± 105.14, p = 0.009), higher mean HDL cholesterol (60.17 ± 17.56 vs. 46.07 ± 11.91 mg/dl, p < 0.001), lower mean LDL cholesterol (109.84 ± 33.47 vs. 123.79 ± 35.96 mg/dl, p = 0.004), and lower TG/HDL ratio (1.98 ± 1.73 vs. 3.59 ± 3.14 p < 0.001). Compared to men, women had a significantly lower prevalence of abnormal total cholesterol, LDL, TG, HDL, and TG/HDL ratio. No significant differences were found between men and women with regard to age, BMI, ethnicity, educational attainment, smoking habits, bipolar illness type, illness severity or duration, or weight-liable medication exposure. DISCUSSION: In outpatients with BD, women had more favorable lipid profiles than men despite similar demographic variables. This sample of primarily Caucasian and educated patients, receiving vigilant clinical monitoring, may represent a relatively healthy psychiatric population demonstrating gender differences similar to those in the general population.