| Autor: |
Guffanti G; Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA.; McLean Hospital, Belmont, MA, 02478, USA., Kumar P; Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA.; McLean Hospital, Belmont, MA, 02478, USA., Admon R; Department of Psychology, University of Haifa, Haifa, Israel., Treadway MT; Department of Psychology, Emory University, Atlanta, GA, 30322, USA.; Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30322, USA., Hall MH; Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA.; McLean Hospital, Belmont, MA, 02478, USA., Mehta M; McLean Hospital, Belmont, MA, 02478, USA., Douglas S; McLean Hospital, Belmont, MA, 02478, USA., Arulpragasam AR; Department of Psychology, Emory University, Atlanta, GA, 30322, USA., Pizzagalli DA; Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA. dap@mclean.harvard.edu.; McLean Hospital, Belmont, MA, 02478, USA. dap@mclean.harvard.edu. |
| Abstrakt: |
Investigations of pathophysiological mechanisms implicated in vulnerability to depression have been negatively impacted by the significant heterogeneity characteristic of psychiatric syndromes. Such challenges are also reflected in numerous null findings emerging from genome-wide association studies (GWAS) of depression. Bolstered by increasing sample sizes, recent GWAS studies have identified genetics variants linked to MDD. Among them, Okbay and colleagues (Nat. Genet. 2016 Jun;48(6):624-33) identified genetic variants associated with three well-validated depression-related phenotypes: subjective well-being, depressive symptoms, and neuroticism. Despite this progress, little is known about psychopathological and neurobiological mechanisms underlying such risk. To fill this gap, a genetic risk score (GRS) was computed from the Okbay's study for a sample of 88 psychiatrically healthy females. Across two sessions, participants underwent two well-validated psychosocial stressors, and performed two separate tasks probing reward learning both before and after stress. Analyses tested whether GRS scores predicted anhedonia-related phenotypes across three units of analyses: self-report (Snaith Hamilton Pleasure Scale), behavior (stress-induced changes in reward learning), and circuits (stress-induced changes in striatal reward prediction error; striatal volume). GRS scores were negatively associated with anhedonia-related phenotypes across all units of analyses but only circuit-level variables were significant. In addition, the amount of explained variance was systematically larger as variables were putatively closer to the effects of genes (self-report < behavior < neural circuitry). Collectively, findings implicate anhedonia-related phenotypes and neurobiological mechanisms in increased depression vulnerability, and highlight the value of focusing on fundamental dimensions of functioning across different units of analyses. |
