Mega-analysis of association between obesity and cortical morphology in bipolar disorders: ENIGMA study in 2832 participants
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články, metaanalýza
PubMed
36846964
PubMed Central
PMC10600817
DOI
10.1017/s0033291723000223
PII: S0033291723000223
Knihovny.cz E-zdroje
- Klíčová slova
- Body mass index, antipsychotics, bipolar disorders, cortical thickness, heterogeneity, lithium, obesity, surface area,
- MeSH
- bipolární porucha * patologie diagnostické zobrazování MeSH
- dospělí MeSH
- index tělesné hmotnosti * MeSH
- lidé středního věku MeSH
- lidé MeSH
- magnetická rezonanční tomografie * MeSH
- mozková kůra * diagnostické zobrazování patologie MeSH
- obezita * patologie MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- metaanalýza MeSH
BACKGROUND: Obesity is highly prevalent and disabling, especially in individuals with severe mental illness including bipolar disorders (BD). The brain is a target organ for both obesity and BD. Yet, we do not understand how cortical brain alterations in BD and obesity interact. METHODS: We obtained body mass index (BMI) and MRI-derived regional cortical thickness, surface area from 1231 BD and 1601 control individuals from 13 countries within the ENIGMA-BD Working Group. We jointly modeled the statistical effects of BD and BMI on brain structure using mixed effects and tested for interaction and mediation. We also investigated the impact of medications on the BMI-related associations. RESULTS: BMI and BD additively impacted the structure of many of the same brain regions. Both BMI and BD were negatively associated with cortical thickness, but not surface area. In most regions the number of jointly used psychiatric medication classes remained associated with lower cortical thickness when controlling for BMI. In a single region, fusiform gyrus, about a third of the negative association between number of jointly used psychiatric medications and cortical thickness was mediated by association between the number of medications and higher BMI. CONCLUSIONS: We confirmed consistent associations between higher BMI and lower cortical thickness, but not surface area, across the cerebral mantle, in regions which were also associated with BD. Higher BMI in people with BD indicated more pronounced brain alterations. BMI is important for understanding the neuroanatomical changes in BD and the effects of psychiatric medications on the brain.
Department of Clinical Neuroscience Karolinska Institutet Stockholm Sweden
Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden
Department of Neurology Division of Clinical Neuroscience Oslo University Hospital Oslo Norway
Department of Neurology Institute of Clinical Medicine University of Oslo Oslo Norway
Department of Psychiatry and Mental Health University of Cape Town Cape Town South Africa
Department of Psychiatry and Psychotherapy Philipps University Marburg Marburg Germany
Department of Psychiatry and Psychotherapy University Hospital Bonn Bonn Germany
Department of Psychiatry Dalhousie University Halifax NS Canada
Department of Psychiatry Erasmus University Medical Center Rotterdam The Netherlands
Department of Psychiatry Jena University Hospital Friedrich Schiller University Jena Jena Germany
Department of Psychiatry University of California San Diego La Jolla CA USA
Department of Psychiatry University of Münster Münster Germany
Desert Pacific MIRECC VA San Diego Healthcare San Diego CA USA
FIDMAG Germanes Hospitalàries Research Foundation Barcelona Spain
Institut d'Investigacions Biomèdiques August Pi i Sunyer Barcelona Spain
Institute for Translational Neuroscience University of Münster Münster Germany
Institute of Clinical Medicine University of Oslo Oslo Norway
Institute of Psychiartry King's College Londen London UK
Laureate Institute for Brain Research Tulsa OK USA
National Institute of Mental Health Klecany Czech Republic
Neuroscience Institute University of Cape Town Cape Town South Africa
Neuroscience Research Australia Randwick NSW Australia
Oxley College of Health Sciences The University of Tulsa Tulsa OK USA
Research Group Instituto de Alta Tecnología Médica Ayudas diagnósticas SURA Medellin Colombia
School of Medical Sciences University of New South Wales Sydney NSW Australia
School of Psychiatry University of New South Wales Sydney NSW Australia
UCLA Center for Neurobehavioral Genetics Los Angeles CA USA
University of British Columbia Vancouver BC Canada
Vita Salute San Raffaele University Milan Italy
West Region Institute of Mental Health Singapore Singapore
Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore
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GBD 2015 Obesity Collaborators, Afshin, A., Forouzanfar, M. H., Reitsma, M. B., Sur, P., Estep, K., … Murray, C. J. L. (2017). Health effects of overweight and obesity in 195 countries over 25 years. The New England Journal of Medicine, 377(1), 13–27. 10.1056/NEJMoa1614362 PubMed DOI PMC
Afzal, M., Siddiqi, N., Ahmad, B., Afsheen, N., Aslam, F., Ali, A., … Zavala, G. A. (2021). Prevalence of overweight and obesity in people with severe mental illness: Systematic review and meta-analysis. Frontiers in Endocrinology, 12, 769309. 10.3389/fendo.2021.769309. PubMed DOI PMC
Andreasen, N. C., Liu, D., Ziebell, S., Vora, A., & Ho, B. C. (2013). Relapse duration, treatment intensity, and brain tissue loss in schizophrenia: A prospective longitudinal MRI study. American Journal of Psychiatry, 170(1535-7228 (Electronic)), 609–615. PubMed PMC
Beydoun, M. A., Beydoun, H. A., & Wang, Y. (2008). Obesity and central obesity as risk factors for incident dementia and its subtypes: A systematic review and meta-analysis. Obesity Reviews, 9(3), 204–218. 10.1111/j.1467-789X.2008.00473.x. PubMed DOI PMC
Bond, D. J., Ha, T. H., Lang, D. J., Su, W., Torres, I. J., Honer, W. G., … Yatham, L. N. (2014). Body mass index-related regional gray and white matter volume reductions in first-episode mania patients. Biological Psychiatry, 76(1873-2402 (Electronic)), 138–145. PubMed
Bond, D. J., Lang, D. J., Noronha, M. M., Kunz, M., Torres, I. J., Su, W., … Yatham, L. N. (2011). The association of elevated body mass index with reduced brain volumes in first-episode mania. Biological Psychiatry, 70(1873-2402 (Electronic)), 381–387. PubMed
Bond, D. J., Su, W., Honer, W. G., Dhanoa, T., Batres, Y. C., Lee, S. S., … Yatham, L. N. (2019). Weight gain as a predictor of frontal and temporal lobe volume loss in bipolar disorder: A prospective MRI study. Bipolar Disorders, 21(1), 50–60. PubMed
Bora, E., Akdede, B. B., & Alptekin, K. (2017). The relationship between cognitive impairment in schizophrenia and metabolic syndrome: A systematic review and meta-analysis. Psychological Medicine, 47(1469-8978 (Electronic)), 1030–1040. PubMed
Bora, E., Yucel, M., & Pantelis, C. (2009). Cognitive endophenotypes of bipolar disorder: A meta-analysis of neuropsychological deficits in euthymic patients and their first-degree relatives. Journal of Affective Disorders, 113(0165-0327 (Print)), 1–20. PubMed
Calkin, C., Ruzickova, M., Uher, R., Hajek, T., Slaney, C. M., Garnham, J. S., … Alda, M. (2015). Insulin resistance and outcome in bipolar disorder. The British Journal of Psychiatry, 206(1472-1465 (Electronic)), 52–57. PubMed
Calkin, C., van de Velde, C, Ruzickova, M., Slaney, C., Garnham, J., Hajek, T., … Alda, M. (2009). Can body mass index help predict outcome in patients with bipolar disorder? Bipolar Disorders, 11(1399-5618 (Electronic)), 650–656. PubMed PMC
Ching, C. R. K., Hibar, D. P., Gurholt, T. P., Nunes, A., Thomopoulos, S. I., Abé, C., … ENIGMA Bipolar Disorder Working Group. (2022). What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group. Human Brain Mapping, 43(1), 56–82. 10.1002/hbm.25098. PubMed DOI PMC
Cox, S. R., Lyall, D. M., Ritchie, S. J., Bastin, M. E., Harris, M. A., Buchanan, C. R., … Deary, I. J. (2019). Associations between vascular risk factors and brain MRI indices in UK Biobank. European Heart Journal, 40(28), 2290–2300. 10.1093/eurheartj/ehz100 PubMed DOI PMC
Dekkers, I. A., Jansen, P. R., & Lamb, H. J. (2019). Obesity, brain volume, and white matter microstructure at MRI: A cross-sectional UK biobank study. Radiology, 291(3), 763–771. 10.1148/radiol.2019181012 PubMed DOI
Di Angelantonio, E., Bhupathiraju, S. N., Wormser, D., Gao, P., Kaptoge, S., de Gonzalez, A. B., … Hu, F. B. (2016). Body-mass index and all-cause mortality: Individual-participant-data meta-analysis of 239 prospective studies in four continents. The Lancet, 388(10046), 776–786. 10.1016/S0140-6736(16)30175-1 PubMed DOI PMC
Fernández-Andújar, M., Morales-García, E., & García-Casares, N. (2021). Obesity and gray matter volume assessed by neuroimaging: A systematic review. Brain Sciences, 11(8), 999. 10.3390/brainsci11080999 PubMed DOI PMC
Fleisher, A. S., Truran, D., Mai, J. T., Langbaum, J. B., Aisen, P. S., Cummings, J. L., … Tariot, P. N. (2011). Chronic divalproex sodium use and brain atrophy in Alzheimer disease. Neurology, 77(1526-632X (Electronic)), 1263–1271. PubMed PMC
Fusar-Poli, P., Smieskova, R., Kempton, M. J., Ho, B. C., Andreasen, N. C., & Borgwardt, S. (2013). Progressive brain changes in schizophrenia related to antipsychotic treatment? A meta-analysis of longitudinal MRI studies. Neuroscience & Behavioral Reviews, 37(1873-7528 (Electronic)), 1680–1691. PubMed PMC
García-García, I., Michaud, A., Dadar, M., Zeighami, Y., Neseliler, S., Collins, D. L., … Dagher, A. (2019). Neuroanatomical differences in obesity: Meta-analytic findings and their validation in an independent dataset. International Journal of Obesity, 43(5), 943–951. 10.1038/s41366-018-0164-4 PubMed DOI
Goldstein, B. I., Baune, B. T., Bond, D. J., Chen, P., Eyler, L., Fagiolini, A., … Fiedorowicz, J. G. (2020). Call to action regarding the vascular-bipolar link: A report from the vascular task force of the international society for bipolar disorders. Bipolar Disorders, 22(5), 440–460. 10.1111/bdi.12921 PubMed DOI PMC
Hajek, T., Calkin, C., Blagdon, R., Slaney, C., Uher, R., & Alda, M. (2014). Insulin resistance, diabetes mellitus, and brain structure in bipolar disorders. Neuropsychopharmacology, 39(1740-634X (Electronic)), 2910–2918. PubMed PMC
Hajek, T., Cullis, J., Novak, T., Kopecek, M., Hoschl, C., Blagdon, R., … Alda, M. (2012a). Hippocampal volumes in bipolar disorders: Opposing effects of illness burden and lithium treatment. Bipolar Disorders, 14(1399-5618 (Electronic)), 261–270. PubMed PMC
Hajek, T., Hahn, M., Slaney, C., Garnham, J., Green, J., Ruzickova, M., … Alda, M. (2008). Rapid cycling bipolar disorders in primary and tertiary care treated patients. Bipolar Disorders, 10(1399-5618 (Electronic)), 495–502. PubMed PMC
Hajek, T., Kopecek, M., Hoschl, C., & Alda, M. (2012b). Reduced hippocampal volumes in bipolar disorders are masked by exposure to lithium – Meta-analysis. Journal of Psychiatry and Neuroscience, 37(5), 333–343. PubMed PMC
Hajek, T., Slaney, C., Garnham, J., Ruzickova, M., Passmore, M., & Alda, M. (2005). Clinical correlates of current level of functioning in primary care-treated bipolar patients. Bipolar Disorders, 7(1398-5647), 286–291. PubMed
Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408–420. 10.1080/03637750903310360 DOI
Hibar, D. P., Westlye, L. T., Doan, N. T., Jahanshad, N., Cheung, J. W., Ching, C. R. K., … Andreassen, O. A. (2018). Cortical abnormalities in bipolar disorder: An MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group. Molecular Psychiatry, 23(4), 932–942. 10.1038/mp.2017.73 PubMed DOI PMC
Hibar, D. P., Westlye, L. T., van Erp, T. G., Rasmussen, J., Leonardo, C. D., Faskowitz, J., … Andreassen, O. A. (2016). Subcortical volumetric abnormalities in bipolar disorder. Molecular Psychiatry, 21(1476-5578 (Electronic)), 1710–1716. PubMed PMC
Islam, A. H., Metcalfe, A. W. S., MacIntosh, B. J., Korczak, D. J., & Goldstein, B. I. (2018). Greater body mass index is associated with reduced frontal cortical volumes among adolescents with bipolar disorder. Journal of Psychiatry & Neuroscience, 43(2), 120–130. 10.1503/jpn.170041 PubMed DOI PMC
Janowitz, D., Wittfeld, K., Terock, J., Freyberger, H. J., Hegenscheid, K., Volzke, H., … Grabe, H. J. (2015). Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples. Neuroimage, 122(1095-9572 (Electronic)), 149–157. PubMed
Joober, R., Schmitz, N., Malla, A., Sengupta, S., & Karma, S. (2006). Is olanzapine a brain-sparing medication? Archives of General Psychiatry, 63(11), 1292. 10.1001/archpsyc.63.11.1292 PubMed DOI
Jorgensen, K. N., Nesvag, R., Nerland, S., Morch-Johnsen, L., Westlye, L. T., Lange, E. H., … Agartz, I. (2017). Brain volume change in first-episode psychosis: An effect of antipsychotic medication independent of BMI change. Acta Psychiatrica Scandinavica, 135(1600-0447 (Electronic)), 117–126. PubMed
Löscher, W., Brandt, C., & Ebert, U. (2003). Excessive weight gain in rats over extended kindling of the basolateral amygdala. Neuroreport, 14(14), 1829–1832. 10.1097/00001756-200310060-00014 PubMed DOI
Malkova, L., Mishkin, M., Suomi, S. J., & Bachevalier, J. (2010). Long-term effects of neonatal medial temporal ablations on socioemotional behavior in monkeys (Macaca mulatta). Behavioral Neuroscience, 124(6), 742–760. 10.1037/a0021622 PubMed DOI PMC
Mansur, R. B., McIntyre, R. S., Cao, B., Lee, Y., Japiassú, L., Chen, K., … Lin, K. (2018). Obesity and frontal-striatal brain structures in offspring of individuals with bipolar disorder: Results from the global mood and brain science initiative. Bipolar Disorders, 20(1), 42–48. 10.1111/bdi.12559 PubMed DOI
Mansur, R. B., Zugman, A., Ahmed, J., Cha, D. S., Subramaniapillai, M., Lee, Y., … McIntyre, R. S. (2017). Treatment with a GLP-1R agonist over four weeks promotes weight loss-moderated changes in frontal-striatal brain structures in individuals with mood disorders. European Neuropsychopharmacology, 27(11), 1153–1162. 10.1016/j.euroneuro.2017.08.433 PubMed DOI
McIntyre, R. S., Danilewitz, M., Liauw, S. S., Kemp, D. E., Nguyen, H. T., Kahn, L. S., … Taylor, V. H. (2010). Bipolar disorder and metabolic syndrome: An international perspective. Journal of Affective Disorders, 126(1573-2517 (Electronic)), 366–387. PubMed
McWhinney, S., Abé, C., Alda, M., Benedetti, F., Bøen, E., Del Mar Bonnin, C., … ENIGMA Bipolar Disorders Working Group. (2021a). Association between body mass index and subcortical brain volumes in bipolar disorders-ENIGMA study in 2735 individuals. Molecular Psychiatry, 26(11), 6806–6819. 10.1038/s41380-021-01098-x PubMed DOI PMC
McWhinney, S., Abé, C., Alda, M., Benedetti, F., Bøen, E., Del Mar Bonnin, C., … ENIGMA Bipolar Disorders Working Group. (2022a). Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individuals. Bipolar Disorders, 24(5), 509–520. 10.1111/bdi.13172 PubMed DOI PMC
McWhinney, S., Brosch, K., Calhoun, V. D., Crespo-Facorro, B., Crossley, N. A., Dannlowski, U., … Hajek, T. (2022b). Obesity and brain structure in schizophrenia – ENIGMA study in 3021 individuals. Molecular Psychiatry, 27(9), 3731–3737. 10.1038/s41380-022-01616-5 PubMed DOI PMC
McWhinney, S., Kolenic, M., Franke, K., Fialova, M., Knytl, P., Matejka, M., … Hajek, T. (2021b). Obesity as a risk factor for accelerated brain ageing in first-episode psychosis – a longitudinal study. Schizophrenia Bulletin, 47(6), 1772–1781. 10.1093/schbul/sbab064 PubMed DOI PMC
Meyer, M. D., Risbrough, V. B., Liang, J., & Boutelle, K. N. (2015). Pavlovian conditioning to hedonic food cues in overweight and lean individuals. Appetite, 87, 56–61. 10.1016/j.appet.2014.12.002 PubMed DOI
Mitchell, A. J., Vancampfort, D., Sweers, K., van Winkel, R., Yu, W., & De Hert, M. (2013). Prevalence of metabolic syndrome and metabolic abnormalities in schizophrenia and related disorders – A systematic review and meta-analysis. Schizophrenia Bulletin, 39(1745-1701 (Electronic)), 306–318. PubMed PMC
Mueller, K., Möller, H. E., Horstmann, A., Busse, F., Lepsien, J., Blüher, M., … Pleger, B. (2015). Physical exercise in overweight to obese individuals induces metabolic- and neurotrophic-related structural brain plasticity. Frontiers in Human Neuroscience, 9, 372. 10.3389/fnhum.2015.00372 PubMed DOI PMC
Nakagawa, S., & Cuthill, I. C. (2007). Effect size, confidence interval and statistical significance: A practical guide for biologists. Biological Reviews, 82(4), 591–605. 10.1111/j.1469-185X.2007.00027.x PubMed DOI
Nunes, A., Schnack, H. G., Ching, C. R. K., Agartz, I., Akudjedu, T. N., Alda, M., … ENIGMA Bipolar Disorders Working Group. (2020). Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group. Molecular Psychiatry, 25(9), 2130–2143. 10.1038/s41380-018-0228-9 PubMed DOI PMC
Nyberg, S. T., Batty, G. D., Pentti, J., Virtanen, M., Alfredsson, L., Fransson, E. I., … Kivimäki, M. (2018). Obesity and loss of disease-free years owing to major non-communicable diseases: A multicohort study. The Lancet Public Health, 3(10), e490–e497. 10.1016/S2468-2667(18)30139-7 PubMed DOI PMC
Opel, N., Redlich, R., Grotegerd, D., Dohm, K., Haupenthal, C., Heindel, W., … Dannlowski, U. (2015). Enhanced neural responsiveness to reward associated with obesity in the absence of food-related stimuli: Obesity and neural responsiveness to reward. Human Brain Mapping, 36(6), 2330–2337. 10.1002/hbm.22773 PubMed DOI PMC
Opel, N., Redlich, R., Kaehler, C., Grotegerd, D., Dohm, K., Heindel, W., … Dannlowski, U. (2017). Prefrontal gray matter volume mediates genetic risks for obesity. Molecular Psychiatry, 22(1476-5578 (Electronic)), 703–710. PubMed
Opel, N., Thalamuthu, A., Milaneschi, Y., Grotegerd, D., Flint, C., Leenings, R., … Dannlowski, U. (2021). 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. Molecular Psychiatry, 26(9), 4839–4852. 10.1038/s41380-020-0774-9 PubMed DOI PMC
Parimisetty, A., Dorsemans, A.-C., Awada, R., Ravanan, P., Diotel, N., & Lefebvre d'Hellencourt, C. (2016). Secret talk between adipose tissue and central nervous system via secreted factors – An emerging frontier in the neurodegenerative research. Journal of Neuroinflammation, 13(1), 67. 10.1186/s12974-016-0530-x PubMed DOI PMC
Pedditzi, E., Peters, R., & Beckett, N. (2016). The risk of overweight/obesity in mid-life and late life for the development of dementia: A systematic review and meta-analysis of longitudinal studies. Age and Ageing, 45(1), 14–21. 10.1093/ageing/afv151 PubMed DOI
Salvi, V., Salvo, G. D., Korčáková, J., Torriero, S., Aragno, E., Kolenič, M., … Hajek, T. (2020). Insulin resistance is associated with verbal memory impairment in bipolar disorders. Journal of Affective Disorders, 266, 610–614. 10.1016/j.jad.2020.01.145 PubMed DOI
Shan, H., Li, P., Liu, H., Nie, B., Yin, X., Zhang, T., … Shan, B. (2019). Gray matter reduction related to decreased serum creatinine and increased triglyceride, hemoglobin A1C, and low-density lipoprotein in subjects with obesity. Neuroradiology, 61(6), 703–710. 10.1007/s00234-019-02202-3 PubMed DOI
Singh-Manoux, A., Dugravot, A., Shipley, M., Brunner, E. J., Elbaz, A., Sabia, S., & Kivimaki, M. (2018). Obesity trajectories and risk of dementia: 28 years of follow-up in the Whitehall II Study. Alzheimer's & Dementia, 14(2), 178–186. 10.1016/j.jalz.2017.06.2637 PubMed DOI PMC
Tang, X., Zhao, W., Lu, M., Zhang, X., Zhang, P., Xin, Z., … Stehouwer, C. D. A. (2021). Relationship between central obesity and the incidence of cognitive impairment and dementia from cohort studies involving 5,060,687 participants. Neuroscience and Biobehavioral Reviews, 130, 301–313. 10.1016/j.neubiorev.2021.08.028 PubMed DOI
Tariot, P. N., Schneider, L. S., Cummings, J., Thomas, R. G., Raman, R., Jakimovich, L. J., … Aisen, P. S. (2011). Chronic divalproex sodium to attenuate agitation and clinical progression of Alzheimer disease. Archives of General Psychiatry, 68(1538-3636 (Electronic)), 853–861. PubMed PMC
Tek, C., Kucukgoncu, S., Guloksuz, S., Woods, S. W., Srihari, V. H., & Annamalai, A. (2016). Antipsychotic-induced weight gain in first-episode psychosis patients: A meta-analysis of differential effects of antipsychotic medications. Early Intervention in Psychiatry, 10(1751-7893 (Electronic)), 193–202. PubMed PMC
Thompson, P. M., Jahanshad, N., Ching, C. R. K., Salminen, L. E., Thomopoulos, S. I., Bright, J., … ENIGMA Consortium. (2020). ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries. Translational Psychiatry, 10(1), 100. 10.1038/s41398-020-0705-1 PubMed DOI PMC
Tuulari, J. J., Karlsson, H. K., Antikainen, O., Hirvonen, J., Pham, T., Salminen, P., … Nummenmaa, L. (2016). Bariatric surgery induces white and grey matter density recovery in the morbidly obese: A voxel-based morphometric study. Human Brain Mapping, 37(11), 3745–3756. PubMed PMC
Vancampfort, D., Stubbs, B., Mitchell, A. J., De Hert, M., Wampers, M., Ward, P. B., … Correll, C. U. (2015). Risk of metabolic syndrome and its components in people with schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder: A systematic review and meta-analysis. World Psychiatry, 14(3), 339–347. 10.1002/wps.20252 PubMed DOI PMC
van Erp, T. G. M., Walton, E., Hibar, D. P., Schmaal, L., Jiang, W., Glahn, D. C., … Turner, J. A. (2018). Cortical brain abnormalities in 4474 individuals with schizophrenia and 5098 control subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biological Psychiatry, 84(9), 644–654. 10.1016/j.biopsych.2018.04.023 PubMed DOI PMC
Van Gaal, L. F., Mertens, I. L., & De Block, C. E. (2006). Mechanisms linking obesity with cardiovascular disease. Nature, 444(7121), 875–880. 10.1038/nature05487 PubMed DOI
Van Gestel, H., Franke, K., Petite, J., Slaney, C., Garnham, J., Helmick, C., … Hajek, T. (2019). Brain age in bipolar disorders: Effects of lithium treatment. The Australian and New Zealand Journal of Psychiatry, 53(12), 1179–1188. 10.1177/0004867419857814 PubMed DOI
Willette, A. A., & Kapogiannis, D. (2015). Does the brain shrink as the waist expands? Ageing Research Reviews, 20(1872-9649 (Electronic)), 86–97. PubMed PMC
Wisse, B. E. (2004). The inflammatory syndrome: The role of adipose tissue cytokines in metabolic disorders linked to obesity. Journal of the American Society of Nephrology: JASN, 15(11), 2792–2800. 10.1097/01.ASN.0000141966.69934.21 PubMed DOI