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 language | English |
|---|---|
| Pages (from-to) | 6806-6819 |
| Number of pages | 14 |
| Journal | Molecular Psychiatry |
| Volume | 26 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2021 |
| Externally published | Yes |
Funding
| Funders | Funder 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 Consortium | RP C009/2006 |
| Helse Sør-Øst RHF | 2015-078 |
| Ministerio de Ciencia e Innovación | PI15/00283, PI18/00805 |
| National Institute of General Medical Sciences | P20GM121312, EU-FP7-PEOPLE-286334, EU-FP7-HEALTH-222963 |
| Vetenskapsrådet | 2018-02653 |
| National Institute of Mental Health | R01MH090553, R21MH113871 |
| Departament de Salut, Generalitat de Catalunya | SLT006/17/00357 |
| National Institute on Aging | T32AG058507 |
| National Institute of Biomedical Imaging and Bioengineering | U54EB020403 |
| Seventh Framework Programme | 286334, 222963 |
| Deutsche Forschungsgemeinschaft | HA7070/ 4, FOR2107, HA7070/2-2, HA7070/3 |
| Canadian Institutes of Health Research | 142255, 106469, 103703 |
| Health Research Board | HRA_POR/2011/100, 99059634 |
| Ministero della Salute | RF-2011-02350980 |
| Secretaria d’Universitats i Recerca del Departament d’Economia I Coneixement | 2017 SGR 1365 |
| National Health and Medical Research Council | 1037196, 1063960, 1066177 |
| Irish Research Council | HRA-POR-324, R21MH113871 |
| Swedish federal government | ALF 20170019, ALFGBG-716801 |
| MNC | SFB-TRR58 |
| Stiftelsen för Strategisk Forskning | KF10-0039 |
| Medizinische Fakultät, Westfälische Wilhelms-Universität Münster | MzH 3/020/20, SEED11/18, Dan3/012/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Association between body mass index and subcortical brain volumes in bipolar disorders–ENIGMA study in 2735 individuals'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver