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O'Mahony J, Bernstein CN, Marrie RA. A nested case-control study evaluating the relationship between adverse childhood experiences and immune-mediated inflammatory disease in the Canadian Longitudinal Study on Aging. BMJ Open 2025; 15:e087133. [PMID: 39833007 PMCID: PMC11749297 DOI: 10.1136/bmjopen-2024-087133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 12/05/2024] [Indexed: 01/22/2025] Open
Abstract
OBJECTIVE Adverse childhood experiences (ACE) have inconsistently been implicated as risk factors for immune-mediated inflammatory diseases (IMID). We evaluated whether the association of ACE with disease differs between IMID and other chronic diseases. DESIGN Nested retrospective case-control study. SETTING We used data from the Canadian Longitudinal Study on Aging (CLSA), which recruited participants aged 45-85 years between 2010 and 2015. PARTICIPANTS We included 12 627 CLSA participants: 2 102 who reported diagnoses of IMID (258 multiple sclerosis (MS), 1 692 rheumatoid arthritis (RA) and 160 inflammatory bowel disease (IBD)), 5 519 with diabetes, 170 with epilepsy, 3 889 with asthma and 1 125 with no chronic diseases. ACE, including childhood maltreatment (physical, emotional and sexual abuse, neglect) and household dysfunction, were queried using questions from the Childhood Experiences of Violence Questionnaire-Short Form and the National Longitudinal Study of Adolescent to Adult Health Wave III questionnaire. PRIMARY AND SECONDARY OUTCOME MEASURES We first evaluated whether the association of maltreatment differed across diagnoses (IMID, diabetes, asthma, epilepsy, no chronic diseases). Second, we evaluated whether the association between maltreatment differed across IMID. We repeated our analyses for different types of ACE. RESULTS Maltreatment or household dysfunction was experienced by 64% of participants and 30% experienced both. On multivariable analysis, history of any maltreatment, sexual abuse, any household dysfunction and having ≥3 types of ACE were all associated with increased risk of IMID compared with no chronic disease. The association between ACE and IMID did not differ across MS, RA and IBD. CONCLUSION ACE are common among Canadians with and without chronic diseases. History of any maltreatment or household dysfunction is associated with increased risk of chronic disease.
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Affiliation(s)
- Julia O'Mahony
- Mellen Center, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Medicine, Rady Faculty of Health Sciences University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Ruth Ann Marrie
- Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
- Departments of Internal Medicine and Community Health Sciences, Rady Faculty of Health Sciences University of Manitoba, Winnipeg, Manitoba, Canada
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2
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van der Weerd N, Mulders P, Vrijsen J, van Oort J, Collard R, van Eijndhoven P, Tendolkar I. Childhood adversity, stress reactivity, and structural brain measures in stress-related/neurodevelopmental disorders, and their comorbidity: A large transdiagnostic cross-sectional study. Hum Brain Mapp 2024; 45:e70025. [PMID: 39394915 PMCID: PMC11470373 DOI: 10.1002/hbm.70025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 08/08/2024] [Accepted: 08/29/2024] [Indexed: 10/14/2024] Open
Abstract
Childhood adversity (CA), including childhood adverse life events, increases the risk for development of psychiatric disorders later in life. Both CA and psychiatric disorders are associated with structural brain changes and dysfunctional hypothalamic-pituitary-adrenal-axis. However, many studies investigated single diagnostic and single regions of interest of the brain, and did not take stress reactivity into account. We investigated associations of CA and cortisol levels with gray matter volume and cortical thickness, in a whole-brain manner. Primary analysis constituted of a transdiagnostic approach, followed by a moderation analysis to investigate the influence of diagnosis. Patients with stress-related and/or neurodevelopmental disorders and matched healthy controls underwent an magnetic resonance imaging scan, next to assessing hair cortisol levels and CA/life events. CA was reported by 62-72% of the patients versus 33% of the controls. Primary transdiagnostic linear regression analyses revealed that CA was not associated with gray matter volume, while childhood life events were associated with lower right thalamic volume. Hair cortisol was not associated with any lobe volume. None of the associations were moderated by diagnosis. In conclusion, CA is a risk factor that needs to be taken into account when investigating psychiatric disorders. Yet the relationship with structural brain changes and stress reactivity is less clear than postulated on the basis of more seed-based studies.
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Affiliation(s)
| | - Peter Mulders
- Department of PsychiatryRadboud University Medical CentreNijmegenThe Netherlands
- Donders Institute for Brain, Cognition, and BehaviourNijmegenThe Netherlands
| | - Janna Vrijsen
- Department of PsychiatryRadboud University Medical CentreNijmegenThe Netherlands
- Donders Institute for Brain, Cognition, and BehaviourNijmegenThe Netherlands
- Pro Persona Mental Health Care, Depression Expertise CentreNijmegenThe Netherlands
| | - Jasper van Oort
- Department of PsychiatryRadboud University Medical CentreNijmegenThe Netherlands
- Donders Institute for Brain, Cognition, and BehaviourNijmegenThe Netherlands
| | - Rose Collard
- Department of PsychiatryRadboud University Medical CentreNijmegenThe Netherlands
- Donders Institute for Brain, Cognition, and BehaviourNijmegenThe Netherlands
| | - Philip van Eijndhoven
- Department of PsychiatryRadboud University Medical CentreNijmegenThe Netherlands
- Donders Institute for Brain, Cognition, and BehaviourNijmegenThe Netherlands
| | - Indira Tendolkar
- Department of PsychiatryRadboud University Medical CentreNijmegenThe Netherlands
- Donders Institute for Brain, Cognition, and BehaviourNijmegenThe Netherlands
- Department of Psychiatry and PsychotherapyUniversity Hospital EssenGermany
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3
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Boardman JP, Andrew R, Bastin ME, Battersby C, Batty GD, Cábez MB, Cox SR, Hall J, Ingledow L, Marioni RE, Modi N, Murphy L, Quigley AJ, Reynolds RM, Richardson H, Stock SJ, Thrippleton MJ, Tsanas A, Whalley HC. Preterm birth as a determinant of neurodevelopment and cognition in children (PRENCOG): protocol for an exposure-based cohort study in the UK. BMJ Open 2024; 14:e085365. [PMID: 39284691 PMCID: PMC11409314 DOI: 10.1136/bmjopen-2024-085365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 08/30/2024] [Indexed: 09/20/2024] Open
Abstract
INTRODUCTION Preterm birth (PTB) is strongly associated with encephalopathy of prematurity (EoP) and neurocognitive impairment. The biological axes linking PTB with atypical brain development are uncertain. We aim to elucidate the roles of neuroendocrine stress activation and immune dysregulation in linking PTB with EoP. METHODS AND ANALYSIS PRENCOG (PREterm birth as a determinant of Neurodevelopment and COGnition in children: mechanisms and causal evidence) is an exposure-based cohort study at the University of Edinburgh. Three hundred mother-infant dyads comprising 200 preterm births (gestational age, GA <32 weeks, exposed) and 100 term births (GA >37 weeks, non-exposed), will be recruited between January 2023 and December 2027. We will collect parental and infant medical, demographic, socioeconomic characteristics and biological data which include placental tissue, umbilical cord blood, maternal and infant hair, infant saliva, infant dried blood spots, faecal material, and structural and diffusion MRI. Infant biosamples will be collected between birth and 44 weeks GA.EoP will be characterised by MRI using morphometric similarity networks (MSNs), hierarchical complexity (HC) and magnetisation transfer saturation imaging (MTsat). We will conduct: first, multivariable regressions and statistical association assessments to test how PTB-associated risk factors (PTB-RFs) relate to MSNs, HC and or MTsat; second, structural equation modelling to investigate neuroendocrine stress activation and immune dysregulation as mediators of PTB-RFs on features of EoP. PTB-RF selection will be informed by the variables that predict real-world educational outcomes, ascertained by linking the UK National Neonatal Research Database with the National Pupil Database. ETHICS AND DISSEMINATION A favourable ethical opinion has been given by the South East Scotland Research Ethics Committee 02 (23/SS/0067) and NHS Lothian Research and Development (2023/0150). Results will be reported to the Medical Research Council, in scientific media, via stakeholder partners and on a website in accessible language (https://www.ed.ac.uk/centre-reproductive-health/prencog).
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Affiliation(s)
- James P Boardman
- Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Ruth Andrew
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Mark E Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Cheryl Battersby
- Section of Neonatal Medicine, Imperial College London, London, UK
| | - G David Batty
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Manuel Blesa Cábez
- Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Simon R Cox
- Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, Edinburgh, UK
| | - Jill Hall
- Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | | | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - Neena Modi
- Section of Neonatal Medicine, Imperial College London, London, UK
| | - Lee Murphy
- Edinburgh Clinical Research Facility, University of Edinburgh, Edinburgh, UK
| | | | - Rebecca M Reynolds
- Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Hilary Richardson
- School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - Sarah J Stock
- Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
| | | | - Athanasios Tsanas
- Usher Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK
- The Alan Turing Institute, London, UK
| | - Heather C Whalley
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
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4
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Maayan L, Maayan M. Reply to "Letter to the Editor: The relationship between inflammatory markers early adversity and major depressive disorder is still an open question.". J Psychiatr Res 2024; 177:429-430. [PMID: 38724418 DOI: 10.1016/j.jpsychires.2024.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 03/25/2024] [Accepted: 04/03/2024] [Indexed: 09/05/2024]
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Bian X, Yang W, Lin J, Jiang B, Shao X. Hypothalamic-Pituitary-Adrenal Axis and Epilepsy. J Clin Neurol 2024; 20:131-139. [PMID: 38330420 PMCID: PMC10921057 DOI: 10.3988/jcn.2023.0308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/28/2023] [Accepted: 11/07/2023] [Indexed: 02/10/2024] Open
Abstract
Epilepsy is a recurrent, transient seizure disorder of the nervous system that affects the intellectual development, life and work, and psychological health of patients. People with epilepsy worldwide experience great suffering. Stressful stimuli such as infection, mental stress, and sleep deprivation are important triggers of epilepsy, and chronic stressful stimuli can lead to frequent seizures and comorbidities. The hypothalamic-pituitary-adrenal (HPA) axis is the most important system involved in the body's stress response, and dysfunction thereof is thought to be associated with core epilepsy symptoms and related psychopathology. This article explores the intrinsic relationships of corticotropin-releasing hormone, adrenocorticotropic hormone, and glucocorticoids with epilepsy in order to reveal the role of the HPA axis in the pathogenesis of epilepsy. We hope that this information will yield future possible directions and ideas for fully understanding the pathogenesis of epilepsy and developing antiepileptic drugs.
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Affiliation(s)
- Xueying Bian
- Department of Pediatrics, Shaoxing Peoples' Hospital, The First Affiliated Hospital of Shaoxing University, Shaoxing, China
| | - Wenxian Yang
- Department of Pediatrics, Yiwu Central Hospital, Yiwu, China
| | - Jiannan Lin
- Department of Pediatrics, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Biao Jiang
- Department of Pediatrics, Shaoxing Peoples' Hospital, The First Affiliated Hospital of Shaoxing University, Shaoxing, China
| | - Xiaoli Shao
- Department of Pediatrics, Shaoxing Peoples' Hospital, The First Affiliated Hospital of Shaoxing University, Shaoxing, China.
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6
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Tan H, Zhou H, Chen J, Ren H, Guo Y, Jiang X. Association of early life adversity with cardiovascular disease and its potential mechanisms: a narrative review. Front Public Health 2024; 12:1341266. [PMID: 38362223 PMCID: PMC10867864 DOI: 10.3389/fpubh.2024.1341266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/15/2024] [Indexed: 02/17/2024] Open
Abstract
Strong epidemiological evidence has shown that early life adversity (ELA) has a profound negative impact on health in adulthood, including an increased risk of cardiovascular disease, the leading cause of death worldwide. Here, we review cohort studies on the effects of ELA on cardiovascular outcomes and the possible underlying mechanisms. In addition, we summarize relevant studies in rodent models of ELA. This review reveals that the prevalence of ELA varies between regions, time periods, and sexes. ELA increases cardiovascular health risk behaviors, susceptibility to mental illnesses, and neuroendocrine and immune system dysfunction in humans. Rodent models of ELA have been developed and show similar cardiovascular outcomes to those in humans but cannot fully replicate all ELA subtypes. Therefore, combining cohort and rodent studies to further investigate the mechanisms underlying the association between ELA and cardiovascular diseases may be a feasible future research strategy.
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Affiliation(s)
- Huiying Tan
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Huiting Zhou
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
| | - Jingmei Chen
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
| | - Huixia Ren
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
| | - Yi Guo
- Department of Neurology, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
| | - Xin Jiang
- Department of Geriatrics, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen, China
- Shenzhen Clinical Research Center for Geriatrics, Shenzhen People’s Hospital, Shenzhen, China
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7
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Merz EC, Myers B, Hansen M, Simon KR, Strack J, Noble KG. Socioeconomic Disparities in Hypothalamic-Pituitary-Adrenal Axis Regulation and Prefrontal Cortical Structure. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:83-96. [PMID: 38090738 PMCID: PMC10714216 DOI: 10.1016/j.bpsgos.2023.10.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 10/13/2023] [Accepted: 10/17/2023] [Indexed: 02/01/2024] Open
Abstract
Socioeconomic disadvantage during childhood predicts an increased risk for mental health problems across the life span. Socioeconomic disadvantage shapes multiple aspects of children's proximal environments and increases exposure to chronic stressors. Drawing from multiple literatures, we propose that childhood socioeconomic disadvantage may lead to adaptive changes in the regulation of stress response systems including the hypothalamic-pituitary-adrenal (HPA) axis. These changes, in turn, affect the development of prefrontal cortical (PFC) circuitry responsible for top-down control over cognitive and emotional processes. Translational findings indicate that chronic stress reduces dendritic complexity and spine density in the medial PFC and anterior cingulate cortex, in part through altered HPA axis regulation. Socioeconomic disadvantage has frequently been associated with reduced gray matter in the dorsolateral and ventrolateral PFC and anterior cingulate cortex and lower fractional anisotropy in the superior longitudinal fasciculus, cingulum bundle, and uncinate fasciculus during middle childhood and adolescence. Evidence of socioeconomic disparities in hair cortisol concentrations in children has accumulated, although null findings have been reported. Coupled with links between cortisol levels and reduced gray matter in the PFC and anterior cingulate cortex, these results support mechanistic roles for the HPA axis and these PFC circuits. Future longitudinal studies should simultaneously consider multiple dimensions of proximal factors, including cognitive stimulation, while focusing on epigenetic processes and genetic moderators to elucidate how socioeconomic context may influence the HPA axis and PFC circuitry involved in cognitive and emotional control. These findings, which point to modifiable factors, can be harnessed to inform policy and more effective prevention strategies.
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Affiliation(s)
- Emily C. Merz
- Department of Psychology, Colorado State University, Fort Collins, Colorado
| | - Brent Myers
- Department of Biomedical Sciences, Colorado State University, Fort Collins, Colorado
| | - Melissa Hansen
- Department of Psychology, Colorado State University, Fort Collins, Colorado
| | - Katrina R. Simon
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, New York
| | - Jordan Strack
- Department of Psychology, Colorado State University, Fort Collins, Colorado
| | - Kimberly G. Noble
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, New York
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Maayan L, Maayan M. Inflammatory mediation of the relationship between early adversity and major depressive disorder: A systematic review. J Psychiatr Res 2024; 169:364-377. [PMID: 38154266 DOI: 10.1016/j.jpsychires.2023.11.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 08/30/2023] [Accepted: 11/15/2023] [Indexed: 12/30/2023]
Abstract
Early adverse experience is related to psychiatric illness that occurs decades later. The mechanisms underlying this phenomenon have not been fully identified. There is a translational and clinical literature linking early adversity with Major Depressive Disorder (MDD) and inflammation. We reviewed articles that examine whether inflammation mediates this relationship. METHODS Literature review of PUB MED, CINAHL and APA Psycinfo articles that explicitly examine inflammation as a mediator between early adversity and depression using ((((((((((adversity) OR (trauma)) OR (maltreatment)) OR (child abuse)) AND (inflammation)) OR (inflammatory cytokines)) OR (crp)) OR (il-6)) OR (tnf)) AND (mediates)) AND (depression))))))))) as key words. RESULTS 2842 articles were initially identified. 1338 non-human studies were excluded and 512 more were filtered out as reviews. The remaining 992 titles and, when necessary, abstracts and manuscripts were reviewed and 956 were removed as being of other non-related phenomena. Four additional studies were added by hand searching the references of remaining studies. Out of these 40, 15 explicitly examined inflammation as a mediator of the relationship between early adversity and later depression. Approximately half (8/15) showed evidence that inflammation mediated the relationship between early adversity and depression. Sensitivity analyses showed that studies taking place in clinical populations, in youth and those that used the Adverse Childhood Events Scale to measure adversity, and IL-6 and TNF-α (as opposed to CRP) to measure inflammation were most likely to show mediation. CONCLUSIONS There is evidence to support the model of inflammation mediating the relationship between early adversity and depression. Certain measures in clinical populations appear more likely to support this model. Further study with more standardized, robust methods will help to answer this question more definitively and may elucidate a subtype of depression related to early adversity by alterations in immune function.
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Affiliation(s)
- Lawrence Maayan
- New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY, 10032, USA.
| | - Michal Maayan
- Skidmore College, 815 N. Broadway, Saratoga Springs, NY, 12866, USA
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9
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Binnewies J, Nawijn L, Brandmaier AM, Baaré WFC, Boraxbekk CJ, Demnitz N, Drevon CA, Fjell AM, Lindenberger U, Madsen KS, Nyberg L, Topiwala A, Walhovd KB, Ebmeier KP, Penninx BWJH. Lifestyle-related risk factors and their cumulative associations with hippocampal and total grey matter volume across the adult lifespan: A pooled analysis in the European Lifebrain consortium. Brain Res Bull 2023; 200:110692. [PMID: 37336327 DOI: 10.1016/j.brainresbull.2023.110692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 06/16/2023] [Indexed: 06/21/2023]
Abstract
BACKGROUND Lifestyle-related risk factors, such as obesity, physical inactivity, short sleep, smoking and alcohol use, have been associated with low hippocampal and total grey matter volumes (GMV). However, these risk factors have mostly been assessed as separate factors, leaving it unknown if variance explained by these factors is overlapping or additive. We investigated associations of five lifestyle-related factors separately and cumulatively with hippocampal and total GMV, pooled across eight European cohorts. METHODS We included 3838 participants aged 18-90 years from eight cohorts of the European Lifebrain consortium. Using individual person data, we performed cross-sectional meta-analyses on associations of presence of lifestyle-related risk factors separately (overweight/obesity, physical inactivity, short sleep, smoking, high alcohol use) as well as a cumulative unhealthy lifestyle score (counting the number of present lifestyle-related risk factors) with FreeSurfer-derived hippocampal volume and total GMV. Lifestyle-related risk factors were defined according to public health guidelines. RESULTS High alcohol use was associated with lower hippocampal volume (r = -0.10, p = 0.021), and overweight/obesity with lower total GMV (r = -0.09, p = 0.001). Other lifestyle-related risk factors were not significantly associated with hippocampal volume or GMV. The cumulative unhealthy lifestyle score was negatively associated with total GMV (r = -0.08, p = 0.001), but not hippocampal volume (r = -0.01, p = 0.625). CONCLUSIONS This large pooled study confirmed the negative association of some lifestyle-related risk factors with hippocampal volume and GMV, although with small effect sizes. Lifestyle factors should not be seen in isolation as there is evidence that having multiple unhealthy lifestyle factors is associated with a linear reduction in overall brain volume.
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Affiliation(s)
- Julia Binnewies
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands.
| | - Laura Nawijn
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany; Department of Psychology, MSB Medical School Berlin, Berlin, Germany
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Carl-Johan Boraxbekk
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark; Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden; Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark; Institute of Sports Medicine Copenhagen (ISMC) and Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Naiara Demnitz
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Christian A Drevon
- Vitas Ltd. Oslo Science Park & Department of Nutrition, IMB, University of Oslo, Norway
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway; Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Anya Topiwala
- Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway; Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, United Kingdom
| | - Brenda W J H Penninx
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands
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10
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Rhee SJ, Shin D, Shin D, Song Y, Joo EJ, Jung HY, Roh S, Lee SH, Kim H, Bang M, Lee KY, Lee J, Kim J, Kim Y, Kim Y, Ahn YM. Network analysis of plasma proteomes in affective disorders. Transl Psychiatry 2023; 13:195. [PMID: 37296094 DOI: 10.1038/s41398-023-02485-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 05/13/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023] Open
Abstract
The conventional differentiation of affective disorders into major depressive disorder (MDD) and bipolar disorder (BD) has insufficient biological evidence. Utilizing multiple proteins quantified in plasma may provide critical insight into these limitations. In this study, the plasma proteomes of 299 patients with MDD or BD (aged 19-65 years old) were quantified using multiple reaction monitoring. Based on 420 protein expression levels, a weighted correlation network analysis was performed. Significant clinical traits with protein modules were determined using correlation analysis. Top hub proteins were determined using intermodular connectivity, and significant functional pathways were identified. Weighted correlation network analysis revealed six protein modules. The eigenprotein of a protein module with 68 proteins, including complement components as hub proteins, was associated with the total Childhood Trauma Questionnaire score (r = -0.15, p = 0.009). Another eigenprotein of a protein module of 100 proteins, including apolipoproteins as hub proteins, was associated with the overeating item of the Symptom Checklist-90-Revised (r = 0.16, p = 0.006). Functional analysis revealed immune responses and lipid metabolism as significant pathways for each module, respectively. No significant protein module was associated with the differentiation between MDD and BD. In conclusion, childhood trauma and overeating symptoms were significantly associated with plasma protein networks and should be considered important endophenotypes in affective disorders.
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Affiliation(s)
- Sang Jin Rhee
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Dongyoon Shin
- Department of Biomedical Science, School of Medicine, CHA University, Seongnam, Republic of Korea
| | - Daun Shin
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yoojin Song
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Eun-Jeong Joo
- Department of Neuropsychiatry, School of Medicine, Eulji University, Daejeon, Republic of Korea
- Department of Psychiatry, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, Republic of Korea
| | - Hee Yeon Jung
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
- Institute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Sungwon Roh
- Department of Psychiatry, Hanyang University Hospital and Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Hyeyoung Kim
- Department of Psychiatry, Inha University Hospital, Incheon, Republic of Korea
| | - Minji Bang
- Department of Psychiatry, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Kyu Young Lee
- Department of Neuropsychiatry, School of Medicine, Eulji University, Daejeon, Republic of Korea
- Department of Psychiatry, Nowon Eulji University Hospital, Seoul, Republic of Korea
| | - Jihyeon Lee
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jaenyeon Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yeongshin Kim
- Department of Biomedical Science, School of Medicine, CHA University, Seongnam, Republic of Korea
| | - Youngsoo Kim
- Department of Biomedical Science, School of Medicine, CHA University, Seongnam, Republic of Korea.
| | - Yong Min Ahn
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
- Institute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.
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11
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Madden RA, Atkinson K, Shen X, Green C, Hillary RF, Hawkins E, Såge E, Sandu AL, Waiter G, McNeil C, Harris M, Campbell A, Porteous D, Macfarlane JA, Murray A, Steele D, Romaniuk L, Lawrie SM, McIntosh AM, Whalley HC. Structural brain correlates of childhood trauma with replication across two large, independent community-based samples. Eur Psychiatry 2023; 66:e19. [PMID: 36697368 PMCID: PMC9970154 DOI: 10.1192/j.eurpsy.2022.2347] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
INTRODUCTION Childhood trauma and adversity are common across societies and have strong associations with physical and psychiatric morbidity throughout the life-course. One possible mechanism through which childhood trauma may predispose individuals to poor psychiatric outcomes is via associations with brain structure. This study aimed to elucidate the associations between childhood trauma and brain structure across two large, independent community cohorts. METHODS The two samples comprised (i) a subsample of Generation Scotland (n=1,024); and (ii) individuals from UK Biobank (n=27,202). This comprised n=28,226 for mega-analysis. MRI scans were processed using Free Surfer, providing cortical, subcortical, and global brain metrics. Regression models were used to determine associations between childhood trauma measures and brain metrics and psychiatric phenotypes. RESULTS Childhood trauma associated with lifetime depression across cohorts (OR 1.06 GS, 1.23 UKB), and related to early onset and recurrent course within both samples. There was evidence for associations between childhood trauma and structural brain metrics. This included reduced global brain volume, and reduced cortical surface area with highest effects in the frontal (β=-0.0385, SE=0.0048, p(FDR)=5.43x10-15) and parietal lobes (β=-0.0387, SE=0.005, p(FDR)=1.56x10-14). At a regional level the ventral diencephalon (VDc) displayed significant associations with childhood trauma measures across both cohorts and at mega-analysis (β=-0.0232, SE=0.0039, p(FDR)=2.91x10-8). There were also associations with reduced hippocampus, thalamus, and nucleus accumbens volumes. DISCUSSION Associations between childhood trauma and reduced global and regional brain volumes were found, across two independent UK cohorts, and at mega-analysis. This provides robust evidence for a lasting effect of childhood adversity on brain structure.
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Affiliation(s)
- Rebecca A Madden
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Kimberley Atkinson
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Xueyi Shen
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Claire Green
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Robert F Hillary
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Emma Hawkins
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Emma Såge
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Anca-Larisa Sandu
- School of Medicine, University of Aberdeen, Aberdeen, United Kingdom
| | - Gordon Waiter
- School of Medicine, University of Aberdeen, Aberdeen, United Kingdom
| | | | - Mathew Harris
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Archie Campbell
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - David Porteous
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Jennifer A Macfarlane
- Medical Sciences and Nutrition, School of Medicine, University of Dundee, Dundee, United Kingdom
| | - Alison Murray
- School of Medicine, University of Aberdeen, Aberdeen, United Kingdom
| | - Douglas Steele
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Liana Romaniuk
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen M Lawrie
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Heather C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
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12
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Herzberg MP, Hennefield L, Luking KR, Sanders AFP, Vogel AC, Kandala S, Tillman R, Luby J, Barch DM. Family income buffers the relationship between childhood adverse experiences and putamen volume. Dev Neurobiol 2023; 83:28-39. [PMID: 36314461 PMCID: PMC10038819 DOI: 10.1002/dneu.22906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 08/26/2022] [Accepted: 10/20/2022] [Indexed: 11/11/2022]
Abstract
Adverse experiences and family income in childhood have been associated with altered brain development. While there is a large body of research examining these associations, it has primarily used cross-sectional data sources and studied adverse experiences and family income in isolation. However, it is possible that low family income and adverse experiences represent dissociable and potentially interacting profiles of risk. To address this gap in the literature, we examined brain structure as a function of adverse experiences in childhood and family income in 158 youths with up to five waves of MRI data. Specifically, we assessed the interactive effect of these two risk factors on six regions of interest: hippocampus, putamen, amygdala, nucleus accumbens, caudate, and thalamus. Adverse experiences and family income interacted to predict putamen volume (B = 0.086, p = 0.011) but only in participants with family income one standard deviation below the mean (slope estimate = -0.11, p = 0.03). These results suggest that adverse experiences in childhood result in distinct patterns of brain development across the socioeconomic gradient. Given previous findings implicating the role of the putamen in psychopathology-related behaviors, these results emphasize the importance of considering life events and socioeconomic context when evaluating markers of risk. Future research should include interactive effects of environmental exposures and family income to better characterize risk for psychopathology in diverse samples.
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Affiliation(s)
- Max P. Herzberg
- Department of Psychiatry, Washington University in St.
Louis, St. Louis, MO, USA
| | - Laura Hennefield
- Department of Psychiatry, Washington University in St.
Louis, St. Louis, MO, USA
| | - Katherine R. Luking
- Department of Psychological & Brain Sciences,
Washington University in St. Louis, St. Louis, MO, USA
| | - Ashley F. P. Sanders
- Department of Psychiatry, Washington University in St.
Louis, St. Louis, MO, USA
| | - Alecia C. Vogel
- Department of Psychiatry, Washington University in St.
Louis, St. Louis, MO, USA
| | - Sridhar Kandala
- Department of Psychiatry, Washington University in St.
Louis, St. Louis, MO, USA
| | - Rebecca Tillman
- Department of Psychiatry, Washington University in St.
Louis, St. Louis, MO, USA
| | - Joan Luby
- Department of Psychiatry, Washington University in St.
Louis, St. Louis, MO, USA
| | - Deanna M. Barch
- Department of Psychiatry, Washington University in St.
Louis, St. Louis, MO, USA
- Department of Psychological & Brain Sciences,
Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University in St.
Louis, St. Louis, MO, USA
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13
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Suda K, Matsuda K. How Microbes Affect Depression: Underlying Mechanisms via the Gut-Brain Axis and the Modulating Role of Probiotics. Int J Mol Sci 2022; 23:ijms23031172. [PMID: 35163104 PMCID: PMC8835211 DOI: 10.3390/ijms23031172] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/19/2022] [Accepted: 01/20/2022] [Indexed: 02/04/2023] Open
Abstract
Accumulating evidence suggests that the gut microbiome influences the brain functions and psychological state of its host via the gut-brain axis, and gut dysbiosis has been linked to several mental illnesses, including major depressive disorder (MDD). Animal experiments have shown that a depletion of the gut microbiota leads to behavioral changes, and is associated with pathological changes, including abnormal stress response and impaired adult neurogenesis. Short-chain fatty acids such as butyrate are known to contribute to the up-regulation of brain-derived neurotrophic factor (BDNF), and gut dysbiosis causes decreased levels of BDNF, which could affect neuronal development and synaptic plasticity. Increased gut permeability causes an influx of gut microbial components such as lipopolysaccharides, and the resultant systemic inflammation may lead to neuroinflammation in the central nervous system. In light of the fact that gut microbial factors contribute to the initiation and exacerbation of depressive symptoms, this review summarizes the current understanding of the molecular mechanisms involved in MDD onset, and discusses the therapeutic potential of probiotics, including butyrate-producing bacteria, which can mediate the microbiota-gut-brain axis.
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