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Abstract
Hypothalamic–pituitary–adrenal (HPA) axis dysregulation has been commonly reported in major depressive disorder (MDD), but with considerable heterogeneity of results; potentially due to the predominant use of acute measures of an inherently variable/phasic system. Chronic longer-term measures of HPA-axis activity have yet to be systematically examined in MDD, particularly in relation to brain phenotypes, and in the context of early-life/contemporaneous stress. Here, we utilise a temporally stable measure of cumulative HPA-axis function (hair glucocorticoids) to investigate associations between cortisol, cortisone and total glucocorticoids with concurrent measures of (i) lifetime-MDD case/control status and current symptom severity, (ii) early/current-life stress and (iii) structural neuroimaging phenotypes, in N = 993 individuals from Generation Scotland (mean age = 59.1 yrs). Increased levels of hair cortisol were significantly associated with reduced global and lobar brain volumes with reductions in the frontal, temporal and cingulate regions (βrange = −0.057 to −0.104, all PFDR < 0.05). Increased levels of hair cortisone were significantly associated with MDD (lifetime-MDD status, current symptoms, and severity; βrange = 0.071 to 0.115, all PFDR = < 0.05), with early-life adversity (β = 0.083, P = 0.017), and with reduced global and regional brain volumes (global: β = −0.059, P = 0.043; nucleus accumbens: β = −0.075, PFDR = 0.044). Associations with total glucocorticoids followed a similar pattern to the cortisol findings. In this large community-based sample, elevated glucocorticoids were significantly associated with MDD, with early, but not later-life stress, and with reduced global and regional brain phenotypes. These findings provide important foundations for future mechanistic studies to formally explore causal relationships between early adversity, chronic rather than acute measures of glucocorticoids, and neurobiological associations relevant to the aetiology of MDD.
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Details
; Stolicyn Aleks 1
; Harris, Mathew A 1
; Shen Xueyi 1
; Romaniuk Liana 1 ; Barbu, Miruna C 1 ; Hawkins, Emma L 1 ; Wardlaw, Joanna M 2
; Douglas, Steele J 3 ; Waiter Gordon D 4 ; Anca-Larisa, Sandu 4
; Campbell, Archie 5
; Porteous, David J 5
; Seckl, Jonathan R 6 ; Lawrie, Stephen M 1
; Reynolds, Rebecca M 6
; Cavanagh, Jonathan 7
; McIntosh, Andrew M 8
; Whalley, Heather C 1
1 University of Edinburgh, Division of Psychiatry, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
2 University of Edinburgh, UK Dementia Research Institute, Edinburgh Medical School, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988); University of Edinburgh, Centre for Clinical Brain Sciences, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
3 University of Dundee, Division of Imaging Science and Technology, School of Medicine, Dundee, UK (GRID:grid.8241.f) (ISNI:0000 0004 0397 2876)
4 University of Aberdeen, Aberdeen Biomedical Imaging Centre, Institute of Medical Sciences, Aberdeen, UK (GRID:grid.7107.1) (ISNI:0000 0004 1936 7291)
5 University of Edinburgh, Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
6 University of Edinburgh, Centre for Cardiovascular Science, Queen’s Medical Research Institute, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
7 University of Glasgow, Institute of Infection, Immunity & Inflammation, College of Medical and Veterinary Life Sciences, Glasgow, UK (GRID:grid.8756.c) (ISNI:0000 0001 2193 314X)
8 University of Edinburgh, Division of Psychiatry, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988); University of Edinburgh, Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)




