Abstract

Individuals with bipolar disorders (BD) frequently suffer from obesity, which is often associated with neurostructural alterations. Yet, the effects of obesity on brain structure in BD are under-researched. We obtained MRI-derived brain subcortical volumes and body mass index (BMI) from 1134 BD and 1601 control individuals from 17 independent research sites within the ENIGMA-BD Working Group. We jointly modeled the effects of BD and BMI on subcortical volumes using mixed-effects modeling and tested for mediation of group differences by obesity using nonparametric bootstrapping. All models controlled for age, sex, hemisphere, total intracranial volume, and data collection site. Relative to controls, individuals with BD had significantly higher BMI, larger lateral ventricular volume, and smaller volumes of amygdala, hippocampus, pallidum, caudate, and thalamus. BMI was positively associated with ventricular and amygdala and negatively with pallidal volumes. When analyzed jointly, both BD and BMI remained associated with volumes of lateral ventricles and amygdala. Adjusting for BMI decreased the BD vs control differences in ventricular volume. Specifically, 18.41% of the association between BD and ventricular volume was mediated by BMI (Z = 2.73, p = 0.006). BMI was associated with similar regional brain volumes as BD, including lateral ventricles, amygdala, and pallidum. Higher BMI may in part account for larger ventricles, one of the most replicated findings in BD. Comorbidity with obesity could explain why neurostructural alterations are more pronounced in some individuals with BD. Future prospective brain imaging studies should investigate whether obesity could be a modifiable risk factor for neuroprogression.

Original languageEnglish
Pages (from-to)6806-6819
Number of pages14
JournalMolecular Psychiatry
Volume26
Issue number11
DOIs
StatePublished - Nov 2021
Externally publishedYes

Funding

FundersFunder number
Ebbe Frøland Foundation
South African Medical Research Council
Dainippon Sumitomo Pharma
Instituto de Salud Carlos III
AbbVie
ISCIII-Subdirección General de Evaluación
Biogen
National Institutes of Health
European Commission
Swedish Brain Foundation
Lansdowne Foundation
Brain and Behavior Research Foundation
Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Würzburg
European Regional Development Fund
National Research Foundation and Medical Research Council
Singapore Bioimaging ConsortiumRP C009/2006
Helse Sør-Øst RHF2015-078
Ministerio de Ciencia e InnovaciónPI15/00283, PI18/00805
National Institute of General Medical SciencesP20GM121312, EU-FP7-PEOPLE-286334, EU-FP7-HEALTH-222963
Vetenskapsrådet2018-02653
National Institute of Mental HealthR01MH090553, R21MH113871
Departament de Salut, Generalitat de CatalunyaSLT006/17/00357
National Institute on AgingT32AG058507
National Institute of Biomedical Imaging and BioengineeringU54EB020403
Seventh Framework Programme286334, 222963
Deutsche ForschungsgemeinschaftHA7070/ 4, FOR2107, HA7070/2-2, HA7070/3
Canadian Institutes of Health Research142255, 106469, 103703
Health Research BoardHRA_POR/2011/100, 99059634
Ministero della SaluteRF-2011-02350980
Secretaria d’Universitats i Recerca del Departament d’Economia I Coneixement2017 SGR 1365
National Health and Medical Research Council1037196, 1063960, 1066177
Irish Research CouncilHRA-POR-324, R21MH113871
Swedish federal governmentALF 20170019, ALFGBG-716801
MNCSFB-TRR58
Stiftelsen för Strategisk ForskningKF10-0039
Medizinische Fakultät, Westfälische Wilhelms-Universität MünsterMzH 3/020/20, SEED11/18, Dan3/012/17

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