Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders : Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group.

Journal: Molecular psychiatry

Volume: 26

Issue: 9

Year of Publication: 2022

Affiliated Institutions:  Department of Psychiatry, University of Münster, Münster, Germany. n_opel@uni-muenster.de. Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia. Department of Psychiatry, Amsterdam UMC/Vrije Universiteit, Amsterdam, Netherlands. Department of Psychiatry, University of Münster, Münster, Germany. IT Department, University of Muenster, Münster, Germany. Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany. Division of Psychiatry, University of Edinburgh, Edinburgh, UK. Psychiatry and Paediatrics, University of Calgary, Calgary, AB, Canada. Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany. Department of Psychiatry, Trinity College Dublin, Dublin, Ireland. Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany. Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. SA MRC Unit on Risk & Resilience, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa. UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA. Department of Psychiatry, University of Texas Health Science Center at Houston, Houston, TX, USA. Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany. Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Parkville, VIC, Australia. Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia. Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Minnesota, Minneapolis, MN, USA. Department of Psychology, University of Minnesota, Minneapolis, MN, USA. Max Planck Institute of Psychiatry, Munich, Germany. FSSBI "Scientific Research Institute of Physiology & Basic Medicine", Laboratory of Affective, Cognitive & Translational Neuroscience, Novosibirsk, Russia. Novosibirsk State University, Laboratory of Experimental & Translational Neuroscience, Novosibirsk, Russia. Department of Radiology and Nuclear Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands. Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany. Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany. Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany. West Region, Institute of Mental Health, Singapore, Singapore. Department of Psychology, Stanford University, Stanford, CA, USA. Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard Medical School, Belmont, MA, USA. Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Sippy Downs, QLD, Australia. Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia. Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.

Abstract summary 

Emerging evidence suggests that obesity impacts brain physiology at multiple levels. Here we aimed to clarify the relationship between obesity and brain structure using structural MRI (n = 6420) and genetic data (n = 3907) from the ENIGMA Major Depressive Disorder (MDD) working group. Obesity (BMI > 30) was significantly associated with cortical and subcortical abnormalities in both mass-univariate and multivariate pattern recognition analyses independent of MDD diagnosis. The most pronounced effects were found for associations between obesity and lower temporo-frontal cortical thickness (maximum Cohen´s d (left fusiform gyrus) = -0.33). The observed regional distribution and effect size of cortical thickness reductions in obesity revealed considerable similarities with corresponding patterns of lower cortical thickness in previously published studies of neuropsychiatric disorders. A higher polygenic risk score for obesity significantly correlated with lower occipital surface area. In addition, a significant age-by-obesity interaction on cortical thickness emerged driven by lower thickness in older participants. Our findings suggest a neurobiological interaction between obesity and brain structure under physiological and pathological brain conditions.

Authors & Co-authors:  Opel Nils N Thalamuthu Anbupalam A Milaneschi Yuri Y Grotegerd Dominik D Flint Claas C Leenings Ramona R Goltermann Janik J Richter Maike M Hahn Tim T Woditsch Georg G Berger Klaus K Hermesdorf Marco M McIntosh Andrew A Whalley Heather C HC Harris Mathew A MA MacMaster Frank P FP Walter Henrik H Veer Ilya M IM Frodl Thomas T Carballedo Angela A Krug Axel A Nenadic Igor I Kircher Tilo T Aleman Andre A Groenewold Nynke A NA Stein Dan J DJ Soares Jair C JC Zunta-Soares Giovana B GB Mwangi Benson B Wu Mon-Ju MJ Walter Martin M Li Meng M Harrison Ben J BJ Davey Christopher G CG Cullen Kathryn R KR Klimes-Dougan Bonnie B Mueller Bryon A BA Sämann Philipp G PG Penninx Brenda B Nawijn Laura L Veltman Dick J DJ Aftanas Lyubomir L Brak Ivan V IV Filimonova Elena A EA Osipov Evgeniy A EA Reneman Liesbeth L Schrantee Anouk A Grabe Hans J HJ Van der Auwera Sandra S Wittfeld Katharina K Hosten Norbert N Völzke Henry H Sim Kang K Gotlib Ian H IH Sacchet Matthew D MD Lagopoulos Jim J Hatton Sean N SN Hickie Ian I Pozzi Elena E Thompson Paul M PM Jahanshad Neda N Schmaal Lianne L Baune Bernhard T BT Dannlowski Udo U

Study Outcome 

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Citations :  Blüher M. Obesity: global epidemiology and pathogenesis. Nat Rev Endocrinol. 2019;15:288–98.
Authors :  64
Identifiers
Doi : 10.1038/s41380-020-0774-9
SSN : 1476-5578
Study Population
Male,Female
Mesh Terms
Aged
Other Terms
Study Design
Cross Sectional Study
Study Approach
Country of Study
Mali
Publication Country
England