Genetic predisposition for negative affect predicts mental health burden during the COVID-19 pandemic.

The coronavirus disease 2019 (COVID-19) pandemic was accompanied by an increase in mental health challenges including depression, stress, loneliness, and anxiety. Common genetic variants can contribute to the risk for psychiatric disorders and may present a risk factor in times of crises. However, it is unclear to what extent polygenic risk played a role in the mental health response to the COVID-19 pandemic. In this study, we investigate whether polygenic scores (PGSs) for mental health-related traits can distinguish between four resilience-vulnerability trajectories identified during the COVID-19 pandemic and associated lockdowns in 2020/21. We used multinomial regression in a genotyped subsample (n = 1316) of the CovSocial project. The most resilient trajectory characterized by the lowest mental health burden and the highest recovery rates served as the reference group. Compared to this most resilient trajectory, a higher value on the PGS for the well-being spectrum decreased the odds for individuals to be in one of the more vulnerable trajectories (adjusted R-square = 0.3%). Conversely, a higher value on the PGS for neuroticism increased the odds for individuals to be in one of the more vulnerable trajectories (adjusted R-square = 0.2%). Latent change in mental health burden extracted from the resilience-vulnerability trajectories was not associated with any PGS. Although our findings support an influence of PGS on mental health during COVID-19, the small added explained variance suggests limited utility of such genetic markers for the identification of vulnerable individuals in the general population.

Serial Diurnal Salivary Cortisol Profiles in 667 pregnant women - Association with Cardiometabolic Complications.

CONTEXT: Maternal obesity, hypertensive pregnancy disorders and gestational diabetes (GDM) are linked to an increased risk of negative offspring health outcomes. This association may be mediated by maternal hypothalamic-pituitary-adrenal axis (HPA axis) activity, resulting in elevated maternal cortisol levels and fetal exposure, but evidence remains scarce. OBJECTIVE: We examined (1) maternal diurnal cortisol profiles longitudinally across gestation, and (2) explored associations with maternal cardiometabolic complications. DESIGN: Women in the InTraUterine sampling in early pregnancy (ITU) study (n=667) provided seven salivary cortisol samples from awakening to bedtime up to three times during pregnancy (median gestational week 19.3, 25.7, and 38.1, n=9,356 samples). Changes in cortisol awakening response and diurnal slope (indicative of HPA-axis activity) and their associations with maternal body mass index (BMI), hypertensive pregnancy disorders and GDM were examined using linear mixed models. RESULTS: The cortisol awakening response declined in in 60%-67% of women, and the diurnal slope attenuated from early to late pregnancy (b = 0.006, p = .001). Higher BMI was associated with less decline in cortisol awakening response (b= 0.031, p = .0004), and less attenuation in diurnal slope from early to late pregnancy (b = -0.001, p = .006). Hypertensive pregnancy disorders and GDM were not significantly associated with diurnal cortisol profiles. CONCLUSIONS: The attenuation in cortisol awakening response and diurnal slope support HPA-axis hypo-responsivity during pregnancy. Less attenuation of both markers in women with a higher BMI may indicate reduced adaption of the HPA-axis to pregnancy, presenting a mechanistic link to offspring health outcomes.