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Abstract
Overweight and obesity are associated with altered stress reactivity and increased inflammation. However, it is not known whether stress-induced changes in brain function scale with BMI and if such associations are driven by peripheral cytokines. Here, we investigate multimodal stress responses in a large transdiagnostic sample using predictive modeling based on spatio-temporal profiles of stress-induced changes in activation and functional connectivity. BMI is associated with increased brain responses as well as greater negative affect after stress and individual response profiles are associated with BMI in females (pperm < 0.001), but not males. Although stress-induced changes reflecting BMI are associated with baseline cortisol, there is no robust association with peripheral cytokines. To conclude, alterations in body weight and energy metabolism might scale acute brain responses to stress more strongly in females compared to males, echoing observational studies. Our findings highlight sex-dependent associations of stress with differences in endocrine markers, largely independent of peripheral inflammation.
In humans, brain responses to stress are associated with their body mass index, driven mostly by females. Predictive modeling showed that this link was better explained by changes in endocrine instead of immune systems.
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Details
; Hagenberg, Jonas 2
; Knauer-Arloth, Janine 3
; Ködel, Maik 4 ; Czisch, Michael 5 ; Sämann, Philipp G. 5 ; Brückl, Tanja 4 ; Spoormaker, Victor I. 4 ; Erhardt, Angelika 4 ; Grandi, Norma C. 4 ; Ziebula, Julius 5 ; Elbau, Immanuel G. 6 ; Lucae, Susanne 5 ; Binder, Elisabeth B. 7
; Kroemer, Nils B. 8
1 University of Bonn, Section of Medical Psychology, Department of Psychiatry and Psychotherapy, Faculty of Medicine, Bonn, Germany (GRID:grid.10388.32) (ISNI:0000 0001 2240 3300); Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany (GRID:grid.419548.5) (ISNI:0000 0000 9497 5095); International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany (GRID:grid.4372.2) (ISNI:0000 0001 2105 1091)
2 Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany (GRID:grid.419548.5) (ISNI:0000 0000 9497 5095); International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany (GRID:grid.4372.2) (ISNI:0000 0001 2105 1091); Helmholtz Zentrum Munich, Institute of Computational Biology, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525)
3 Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany (GRID:grid.419548.5) (ISNI:0000 0000 9497 5095); Helmholtz Zentrum Munich, Institute of Computational Biology, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525)
4 Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany (GRID:grid.419548.5) (ISNI:0000 0000 9497 5095)
5 Max Planck Institute of Psychiatry, Munich, Germany (GRID:grid.419548.5) (ISNI:0000 0000 9497 5095)
6 Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany (GRID:grid.419548.5) (ISNI:0000 0000 9497 5095); Max Planck Institute of Psychiatry, Munich, Germany (GRID:grid.419548.5) (ISNI:0000 0000 9497 5095)
7 Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany (GRID:grid.419548.5) (ISNI:0000 0000 9497 5095); German Center for Mental Health, Tübingen, Germany (GRID:grid.419548.5)
8 University of Bonn, Section of Medical Psychology, Department of Psychiatry and Psychotherapy, Faculty of Medicine, Bonn, Germany (GRID:grid.10388.32) (ISNI:0000 0001 2240 3300); German Center for Mental Health, Tübingen, Germany (GRID:grid.10388.32); University of Tübingen, Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447)




