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Cairns M, Andrews J, Odendaal C, O'Brien C, Marais E, Maarman G, Sishi B, Joseph D, Rautenbach F, Marnewick JL, Essop MF. An investigation into the sex dependence of post-reperfusion cardiac mitochondrial function and redox balance in chronically stressed rats. Physiol Rep 2025; 13:e70185. [PMID: 40000919 PMCID: PMC11859663 DOI: 10.14814/phy2.70185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Revised: 12/20/2024] [Accepted: 12/21/2024] [Indexed: 02/27/2025] Open
Abstract
Although mitochondrial alterations are implicated in cardiac pathologies, sex-specific changes following chronic stress and ischemia-reperfusion injury are poorly characterized. Male and female Wistar rats underwent chronic restraint stress (CRS) for 4 weeks versus controls, whereafter ex vivo hearts were subjected to regional ischemia and reperfusion. Post-reperfusion hearts were dissected into ischemia-reperfused and non-ischemic regions with high-resolution mitochondrial respirometry, and oxidative stress assays performed. CRS males displayed increased routine and fatty acid β-oxidation respiration in non-ischemic tissues but lowered ETF-linked LEAK contributions to overall electron transfer system capacity ratios in ischemia-reperfused regions versus controls. CRS males exhibited lowered superoxide dismutase activity and increased lipid peroxidation in well-perfused regions versus controls. Female CRS hearts showed attenuated ETF-linked LEAK respiration and increased lipid peroxidation versus controls in non-ischemic tissue but a lowered RE ratio (measure of mitochondrial coupling) with ischemia-reperfusion. Our findings highlight the heart's sexually dimorphic response to chronic stress and ischemic injury, with female hearts showing oxidative damage in non-ischemic tissues together with relatively intact mitochondrial function in ischemia-reperfused tissues.
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Affiliation(s)
- Megan Cairns
- Centre for Cardio‐Metabolic Research in Africa (CARMA), Division of Medical Physiology, Department of Biomedical Sciences, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
| | - Jasmine Andrews
- Centre for Cardio‐Metabolic Research in Africa (CARMA), Division of Medical Physiology, Department of Biomedical Sciences, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
| | - Caitlin Odendaal
- Centre for Cardio‐Metabolic Research in Africa (CARMA), Division of Medical Physiology, Department of Biomedical Sciences, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
| | - Cassidy O'Brien
- Centre for Cardio‐Metabolic Research in Africa (CARMA), Division of Medical Physiology, Department of Biomedical Sciences, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
| | - Erna Marais
- Centre for Cardio‐Metabolic Research in Africa (CARMA), Division of Medical Physiology, Department of Biomedical Sciences, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
| | - Gerald Maarman
- Centre for Cardio‐Metabolic Research in Africa (CARMA), Division of Medical Physiology, Department of Biomedical Sciences, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
| | - Balindiwe Sishi
- Center for Cardio‐Metabolic Research in Africa (CARMA), Department of Physiological SciencesStellenbosch UniversityStellenboschSouth Africa
| | - Danzil Joseph
- Center for Cardio‐Metabolic Research in Africa (CARMA), Department of Physiological SciencesStellenbosch UniversityStellenboschSouth Africa
| | - Fanie Rautenbach
- Oxidative Stress Research Centre, Faculty of Health and Wellness SciencesInstitute of Biomedical and Microbial Biotechnology, Cape Peninsula University of TechnologyCape TownSouth Africa
| | - Jeanine L. Marnewick
- Oxidative Stress Research Centre, Faculty of Health and Wellness SciencesInstitute of Biomedical and Microbial Biotechnology, Cape Peninsula University of TechnologyCape TownSouth Africa
| | - M. Faadiel Essop
- Centre for Cardio‐Metabolic Research in Africa (CARMA), Division of Medical Physiology, Department of Biomedical Sciences, Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
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Cairns M, Marais E, Joseph D, Essop MF. The Role of Chronic Stress in the Pathogenesis of Ischemic Heart Disease in Women. Compr Physiol 2025; 15:e70000. [PMID: 39903543 PMCID: PMC11793136 DOI: 10.1002/cph4.70000] [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: 10/16/2024] [Revised: 01/17/2025] [Accepted: 01/22/2025] [Indexed: 02/06/2025]
Abstract
Psychological stress has emerged as a critical risk factor for cardiovascular disease, especially in women. While female participation in clinical research has improved, sex-specific data analysis and reporting often remain inadequate, limiting our ability to draw definitive conclusions for women. Conversely, preclinical studies consistently demonstrate adverse effects of stress on female health, yet the molecular mechanisms underlying this association remain elusive. Evidence suggests that female IHD pathogenesis is more complex than in males, involving multiple factors, including inflammation, contractile dysfunction, bioenergetic impairment, and remodeling. However, many of these mechanisms are primarily derived from male studies, and molecular investigations in female models are limited, hindering our understanding of the underlying biological pathways. This is particularly concerning given the increasing prevalence of ischemic heart disease in postmenopausal women. In order to fully elucidate the impact of stress on female cardiac health and develop targeted interventions, further preclinical research on female models is essential.
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Affiliation(s)
- Megan Cairns
- Division of Medical PhysiologyCentre for Cardio‐Metabolic Research in Africa (CARMA)Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
| | - Erna Marais
- Division of Medical PhysiologyCentre for Cardio‐Metabolic Research in Africa (CARMA)Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
| | - Danzil Joseph
- Department of Physiological Sciences, Center for Cardio‐Metabolic Research in Africa (CARMA)Stellenbosch UniversityStellenboschSouth Africa
| | - M. Faadiel Essop
- Division of Medical PhysiologyCentre for Cardio‐Metabolic Research in Africa (CARMA)Faculty of Medicine and Health SciencesStellenbosch UniversityCape TownSouth Africa
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3
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Yang J, Zeng Y, Yang H, Qu Y, Han X, Chen W, Sun Y, Hu Y, Ying Z, Liu D, Song H. Cardiovascular Disease, Genetic Susceptibility, and Risk of Psychiatric Disorders and Suicide Attempt: A Community-Based Matched Cohort Study Based on the UK Biobank. J Am Heart Assoc 2024; 13:e031280. [PMID: 39082195 PMCID: PMC11964004 DOI: 10.1161/jaha.123.031280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 05/22/2024] [Indexed: 08/07/2024]
Abstract
BACKGROUND The associations between cardiovascular disease (CVD) and multiple psychiatric disorders and suicide attempt, and whether different genetic susceptibilities affect such links, have not been investigated clearly. METHODS AND RESULTS Based on the UK Biobank, we conducted a matched cohort study involving 63 923 patients who were first hospitalized with a CVD diagnosis between 1997 and 2020, and their 127 845 matched unexposed individuals. Cox models were used to examine the subsequent risk of psychiatric disorders and suicide attempt (ie, anxiety, depression, stress-related disorder, substance misuse, psychotic disorder, and suicide behaviors) following CVD. We further performed stratified analyses by polygenic risk score for each studied psychiatric condition to detect the possible effects of genetic susceptibility on the observed associations. We found an increased risk of any psychiatric disorders and suicide attempt among CVD patients, compared with matched unexposed individuals, particularly within 1 year following the CVD (fully adjusted hazard ratio [HR] within 1 year, 1.83 [95% CI, 1.58-2.12]; HR after 1 year, 1.24 [95% CI, 1.16-1.32]). By subtype, the risk elevations existed for any psychiatric disorders and suicide attempt following most categories of CVDs. Analyses stratified by polygenic risk score revealed little impact of genetic predisposition to studied psychiatric conditions on these observed links. CONCLUSIONS Patients hospitalized for CVD were at increased subsequent risk of multiple types of psychiatric disorders and suicide attempt, especially in the first year after hospitalization, irrespective of their genetic susceptibilities to studied psychiatric conditions, and these findings underscore the necessity of developing timely psychological interventions for this vulnerable population.
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Affiliation(s)
- Jie Yang
- Department of Critical Care Medicine and West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengduChina
- West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengduChina
| | - Yu Zeng
- West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengduChina
- Med‐X Center for InformaticsSichuan UniversityChengduChina
| | - Huazhen Yang
- West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengduChina
- Med‐X Center for InformaticsSichuan UniversityChengduChina
| | - Yuanyuan Qu
- West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengduChina
- Med‐X Center for InformaticsSichuan UniversityChengduChina
| | - Xin Han
- West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengduChina
- Med‐X Center for InformaticsSichuan UniversityChengduChina
| | - Wenwen Chen
- West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengduChina
- Med‐X Center for InformaticsSichuan UniversityChengduChina
| | - Yajing Sun
- West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengduChina
- Med‐X Center for InformaticsSichuan UniversityChengduChina
| | - Yao Hu
- West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengduChina
- Med‐X Center for InformaticsSichuan UniversityChengduChina
| | - Zhiye Ying
- West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengduChina
- Med‐X Center for InformaticsSichuan UniversityChengduChina
| | - Di Liu
- Sichuan University—Pittsburgh InstituteSichuan UniversityChengduChina
| | - Huan Song
- West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengduChina
- Med‐X Center for InformaticsSichuan UniversityChengduChina
- Center of Public Health SciencesFaculty of MedicineUniversity of IcelandReykjavíkIceland
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Posis AIB, Alcaraz JE, Parada H, Shadyab AH, Elman JA, Panizzon MS, Reynolds CA, Franz CE, Kremen WS, McEvoy LK. Association Between Traumatic Brain Injury and Cognitive Decline Among Middle-to-Older Aged Men in the Vietnam Era Twin Study of Aging. Neurotrauma Rep 2024; 5:563-573. [PMID: 39036434 PMCID: PMC11257108 DOI: 10.1089/neur.2024.0034] [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] [Indexed: 07/23/2024] Open
Abstract
Traumatic brain injury (TBI) is associated with increased risk of dementia. However, whether TBI is associated with greater cognitive decline over time in specific cognitive domains among older adults is not well understood. This prospective cohort study used data from 1476 male Vietnam Era Twin Study of Aging participants (average age at study entry = 57.9 years, range = 51-71 years; 97.6% non-Hispanic; 92.5% White) collected from 2003 to 2019, who had complete information on prior TBI. Participants completed a comprehensive neuropsychological assessment at up to three visits over up to a 12-year follow-up period during which they also self-reported their history of TBI. Multivariable, linear mixed-effects models were used to assess associations between TBI and cognitive performance trajectories. Effect measure modification by apolipoprotein E (APOE) epsilon 4 (ε4) genotype status was assessed in a subset of participants. Thirty-one percent of participants reported a history of TBI; 29.4% were APOE ε4 carriers. There were no statistically significant associations of TBI with decline in episodic memory, executive function, or processing speed among participants overall. In models stratified by APOE ε4 carrier status, TBI was associated with a larger magnitude of decline in executive function for APOE ε4 carriers (β = -0.0181; 95% confidence interval [CI] -0.0335, -0.0027) compared to noncarriers (β = -0.0031; 95% CI -0.0128, 0.0067; P Interaction = 0.03). In sensitivity analyses, TBI earlier in life (before military induction, average age = 20 years) was associated with faster declines in executive function compared to no TBI, irrespective of APOE ε4 status. In this sample of middle-to-older aged men, TBI was associated with faster declines in executive function among APOE ε4 carriers and among those who reported TBI in early life. These findings support the importance of a life course perspective when considering factors that may influence cognitive health in aging.
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Affiliation(s)
- Alexander Ivan B. Posis
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
- School of Public Health, San Diego State University, San Diego, California, USA
| | - John E. Alcaraz
- School of Public Health, San Diego State University, San Diego, California, USA
| | - Humberto Parada
- School of Public Health, San Diego State University, San Diego, California, USA
- Moores Cancer Center, UC San Diego Health, La Jolla, California, USA
- Department of Radiation Medicine & Applied Science, University of California, San Diego, La Jolla, California, USA
| | - Aladdin H. Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
| | - Jeremy A. Elman
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Matthew S. Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Chandra A. Reynolds
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA
| | - Carol E. Franz
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - William S. Kremen
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
- Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Linda K. McEvoy
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, California, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
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5
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Bergstedt J, Pasman JA, Ma Z, Harder A, Yao S, Parker N, Treur JL, Smit DJA, Frei O, Shadrin AA, Meijsen JJ, Shen Q, Hägg S, Tornvall P, Buil A, Werge T, Hjerling-Leffler J, Als TD, Børglum AD, Lewis CM, McIntosh AM, Valdimarsdóttir UA, Andreassen OA, Sullivan PF, Lu Y, Fang F. Distinct biological signature and modifiable risk factors underlie the comorbidity between major depressive disorder and cardiovascular disease. NATURE CARDIOVASCULAR RESEARCH 2024; 3:754-769. [PMID: 38898929 PMCID: PMC11182748 DOI: 10.1038/s44161-024-00488-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 05/08/2024] [Indexed: 06/21/2024]
Abstract
Major depressive disorder (MDD) and cardiovascular disease (CVD) are often comorbid, resulting in excess morbidity and mortality. Here we show that CVDs share most of their genetic risk factors with MDD. Multivariate genome-wide association analysis of shared genetic liability between MDD and atherosclerotic CVD revealed seven loci and distinct patterns of tissue and brain cell-type enrichments, suggesting the involvement of the thalamus. Part of the genetic overlap was explained by shared inflammatory, metabolic and psychosocial or lifestyle risk factors. Our data indicated causal effects of genetic liability to MDD on CVD risk, but not from most CVDs to MDD, and showed that the causal effects were partly explained by metabolic and psychosocial or lifestyle factors. The distinct signature of MDD-atherosclerotic CVD comorbidity suggests an immunometabolic subtype of MDD that is more strongly associated with CVD than overall MDD. In summary, we identified biological mechanisms underlying MDD-CVD comorbidity and modifiable risk factors for prevention of CVD in individuals with MDD.
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Affiliation(s)
- Jacob Bergstedt
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Joëlle A. Pasman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ziyan Ma
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Arvid Harder
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Shuyang Yao
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Nadine Parker
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Jorien L. Treur
- Genetic Epidemiology, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Dirk J. A. Smit
- Genetic Epidemiology, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Oleksandr Frei
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Alexey A. Shadrin
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- K.G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Joeri J. Meijsen
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
| | - Qing Shen
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
- Institute for Advanced Study, Tongji University, Shanghai, China
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Per Tornvall
- Department of Clinical Science and Education Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Alfonso Buil
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
| | - Thomas Werge
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jens Hjerling-Leffler
- Department Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Thomas D. Als
- Department of Molecular Medicine (MOMA), Molecular Diagnostic Laboratory, Aarhus University Hospital, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Anders D. Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Cathryn M. Lewis
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, London, UK
- Department of Medical and Molecular Genetics, King’s College London, London, UK
| | - Andrew M. McIntosh
- Centre for Clinical Brain Sciences, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Centre for Genomics and Experimental Medicine, University of Edinburgh, Edinburgh, UK
| | - Unnur A. Valdimarsdóttir
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre of Public Health Sciences, Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Epidemiology, Harvard TH Chan School of Public Health, Harvard University, Boston, MA USA
| | - Ole A. Andreassen
- Centre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- K.G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Patrick F. Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Yi Lu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Fang Fang
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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Ditmars HL, Logue MW, Toomey R, McKenzie RE, Franz CE, Panizzon MS, Reynolds CA, Cuthbert KN, Vandiver R, Gustavson DE, Eglit GML, Elman JA, Sanderson-Cimino M, Williams ME, Andreassen OA, Dale AM, Eyler LT, Fennema-Notestine C, Gillespie NA, Hauger RL, Jak AJ, Neale MC, Tu XM, Whitsel N, Xian H, Kremen WS, Lyons MJ. Associations between depression and cardiometabolic health: A 27-year longitudinal study. Psychol Med 2022; 52:3007-3017. [PMID: 33431106 PMCID: PMC8547283 DOI: 10.1017/s003329172000505x] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Clarifying the relationship between depression symptoms and cardiometabolic and related health could clarify risk factors and treatment targets. The objective of this study was to assess whether depression symptoms in midlife are associated with the subsequent onset of cardiometabolic health problems. METHODS The study sample comprised 787 male twin veterans with polygenic risk score data who participated in the Harvard Twin Study of Substance Abuse ('baseline') and the longitudinal Vietnam Era Twin Study of Aging ('follow-up'). Depression symptoms were assessed at baseline [mean age 41.42 years (s.d. = 2.34)] using the Diagnostic Interview Schedule, Version III, Revised. The onset of eight cardiometabolic conditions (atrial fibrillation, diabetes, erectile dysfunction, hypercholesterolemia, hypertension, myocardial infarction, sleep apnea, and stroke) was assessed via self-reported doctor diagnosis at follow-up [mean age 67.59 years (s.d. = 2.41)]. RESULTS Total depression symptoms were longitudinally associated with incident diabetes (OR 1.29, 95% CI 1.07-1.57), erectile dysfunction (OR 1.32, 95% CI 1.10-1.59), hypercholesterolemia (OR 1.26, 95% CI 1.04-1.53), and sleep apnea (OR 1.40, 95% CI 1.13-1.74) over 27 years after controlling for age, alcohol consumption, smoking, body mass index, C-reactive protein, and polygenic risk for specific health conditions. In sensitivity analyses that excluded somatic depression symptoms, only the association with sleep apnea remained significant (OR 1.32, 95% CI 1.09-1.60). CONCLUSIONS A history of depression symptoms by early midlife is associated with an elevated risk for subsequent development of several self-reported health conditions. When isolated, non-somatic depression symptoms are associated with incident self-reported sleep apnea. Depression symptom history may be a predictor or marker of cardiometabolic risk over decades.
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Affiliation(s)
- Hillary L. Ditmars
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
| | - Mark W. Logue
- Research Service, VA Boston Healthcare System, Boston, MA
- Biomedical Genetics Program, Boston University School of Medicine, Boston, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Rosemary Toomey
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
| | - Ruth E. McKenzie
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
- School of Education and Social Policy, Merrimack College, North Andover, MA, USA
| | - Carol E. Franz
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA
| | - Matthew S. Panizzon
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA
| | - Chandra A. Reynolds
- Department of Psychology, University of California, Riverside, Riverside, CA
| | - Kristy N. Cuthbert
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
| | - Richard Vandiver
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
| | | | - Graham M. L. Eglit
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA
- VA San Diego Healthcare System, San Diego, CA
| | - Jeremy A. Elman
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA
| | - Mark Sanderson-Cimino
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
- San Diego State University/UC San Diego Joint Doctoral Program in Clinical Psychology
| | - McKenna E. Williams
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
- San Diego State University/UC San Diego Joint Doctoral Program in Clinical Psychology
| | - Ole A. Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine University of Oslo Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital Oslo, Oslo, Norway
| | - Anders M. Dale
- Department of Radiology, School of Medicine, University of California, San Diego, La Jolla, CA
- Department of Neurosciences, University of California, San Diego, La Jolla, CA
| | - Lisa T. Eyler
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
| | - Christine Fennema-Notestine
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
- Department of Radiology, School of Medicine, University of California, San Diego, La Jolla, CA
| | - Nathan A. Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Richard L. Hauger
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA
| | - Amy J. Jak
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA
| | - Michael C. Neale
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Xin M. Tu
- Department of Family Medicine and Public Health, VA San Diego Healthcare System, San Diego, CA
| | - Nathan Whitsel
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
| | - Hong Xian
- Department of Epidemiology & Biostatistics, Saint Louis University College for Public Health & Social Justice
| | - William S. Kremen
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
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7
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Xian H, Boutwell B, Reynolds CA, Lew D, Logue M, Gustavson DE, Kavish N, Panizzon MS, Tu X, Toomey R, Puckett OK, Elman JA, Jacobson KC, Lyons MJ, Kremen WS, Franz CE. Genetic Underpinnings of Increased BMI and Its Association With Late Midlife Cognitive Abilities. Gerontol Geriatr Med 2020; 6:2333721420925267. [PMID: 32537479 PMCID: PMC7268925 DOI: 10.1177/2333721420925267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 01/23/2020] [Accepted: 04/14/2020] [Indexed: 12/04/2022] Open
Abstract
Objectives: First, we test for differences in various cognitive
abilities across trajectories of body mass index (BMI) over the later life
course. Second, we examine whether genetic risk factors for unhealthy
BMIs—assessed via polygenic risk scores (PRS)—predict cognitive abilities in
late-life. Methods: The study used a longitudinal sample of Vietnam
veteran males to explore the associations between BMI trajectories, measured
across four time points, and later cognitive abilities. The sample of 977
individuals was drawn from the Vietnam Era Twin Study of Aging. Cognitive
abilities evaluated included executive function, abstract reasoning, episodic
memory, processing speed, verbal fluency, and visual spatial ability. Multilevel
linear regression models were used to estimate the associations between BMI
trajectories and cognitive abilities. Then, BMI PRS was added to the models to
evaluate polygenic associations with cognitive abilities. Results:
There were no significant differences in cognitive ability between any of the
BMI trajectory groups. There was a significant inverse relationship between
BMI-PRS and several cognitive ability measures. Discussion: While
no associations emerged for BMI trajectories and cognitive abilities at the
phenotypic levels, BMI PRS measures did correlate with key cognitive domains.
Our results suggest possible polygenic linkages cutting across key components of
the central and peripheral nervous system.
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Affiliation(s)
| | | | | | | | - Mark Logue
- VA Boston Healthcare System, MA, USA.,Boston University School of Medicine, MA, USA
| | | | | | | | - Xin Tu
- University of California San Diego, La Jolla, CA, USA
| | | | | | | | | | | | - William S Kremen
- University of California San Diego, La Jolla, CA, USA.,VA San Diego Healthcare System, La Jolla, CA, USA
| | - Carol E Franz
- University of California San Diego, La Jolla, CA, USA
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8
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Elman JA, Panizzon MS, Logue MW, Gillespie NA, Neale MC, Reynolds CA, Gustavson DE, Rana BK, Andreassen OA, Dale AM, Franz CE, Lyons MJ, Kremen WS. Genetic risk for coronary heart disease alters the influence of Alzheimer's genetic risk on mild cognitive impairment. Neurobiol Aging 2019; 84:237.e5-237.e12. [PMID: 31272697 PMCID: PMC6899214 DOI: 10.1016/j.neurobiolaging.2019.06.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 05/04/2019] [Accepted: 06/01/2019] [Indexed: 12/24/2022]
Abstract
Understanding genetic influences on Alzheimer's disease (AD) may improve early identification. AD polygenic risk scores (AD-PRSs) are associated with increased odds of AD and mild cognitive impairment (MCI). Additional sources of genetic risk may also contribute to disease outcomes. Coronary artery disease (CAD) is a risk factor for AD, interacts with AD pathology, and is also heritable. We showed that incidence-based and prevalence-based CAD-PRSs moderate the association between the AD-PRS and MCI, but in opposing directions. Higher incidence-based CAD-PRSs interacted with the AD-PRS to further increase MCI risk. Conversely, the AD-PRS was predictive of MCI when prevalence-based CAD-PRSs were low. The latter finding is likely due to prevalent CAD cases being biased toward longer postevent survival times, perhaps selecting for protective loci that offset AD risk. These results demonstrate (1) the importance of examining multiple PRSs and their interactions; (2) how genetic risk for one disease can modify the impact of genetic risk for another; and (3) the importance of considering ascertainment procedures of GWAS used for genetic risk prediction.
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Affiliation(s)
- Jeremy A Elman
- Department of Psychiatry University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA.
| | - Matthew S Panizzon
- Department of Psychiatry University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Mark W Logue
- National Center for PTSD: Behavioral Science Division, VA Boston Healthcare System, Boston, MA, USA; Department of Psychiatry and the Biomedical Genetics Section, Boston University School of Medicine, Boston, MA, USA; Department of Biostatistics, Boston University School of Public Health, Boston MA, USA
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | | | - Daniel E Gustavson
- Department of Psychiatry University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Brinda K Rana
- Department of Psychiatry University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Ole A Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Anders M Dale
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Carol E Franz
- Department of Psychiatry University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - William S Kremen
- Department of Psychiatry University of California, San Diego, La Jolla, CA, USA; Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA, USA
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9
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Franz CE, Xian H, Lew D, Hatton SN, Puckett O, Whitsel N, Beck A, Dale AM, Fang B, Fennema-Notestine C, Hauger RL, Jacobson KC, Lyons MJ, Reynolds CA, Kremen WS. Body mass trajectories and cortical thickness in middle-aged men: a 42-year longitudinal study starting in young adulthood. Neurobiol Aging 2019; 79:11-21. [PMID: 31026618 PMCID: PMC6591047 DOI: 10.1016/j.neurobiolaging.2019.03.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 03/01/2019] [Accepted: 03/05/2019] [Indexed: 01/30/2023]
Abstract
Evidence strongly suggests that being overweight or obese at midlife confers significantly higher risk for Alzheimer's disease and greater brain atrophy later in life. Few studies, however, examine associations between longitudinal changes in adiposity during early adulthood and later brain morphometry. Measures of body mass index (BMI) were collected in 373 men from the Vietnam Era Twin Study of Aging at average ages 20, 40, 56, and 62 years, yielding 2 BMI trajectories. We then examined associations between BMI phenotypes (trajectories, continuous BMI, obese/nonobese), cortical thickness, and white matter measures from structural magnetic resonance imaging at mean age 62 (time 4, range 56-66 years). Those on the obesity trajectory (N = 171) had a thinner cortex compared with the normal/lean trajectory (N = 202) in multiple frontal and temporal lobe bilateral regions of interest: superior, inferior, middle temporal gyri, temporal pole, fusiform gyrus, banks of the superior temporal sulcus, frontal pole, pars triangularis, caudal and rostral middle frontal gyri (all p < 0.05, false discovery rate corrected). Frontal lobe thinness tended to occur mainly in the right hemisphere. Results were similar for obese versus nonobese adults at age 62. There were no significant differences for white matter volume or abnormalities. Taken in the context of other research, these associations between brain structures and excess BMI at midlife suggest potential for increased risk for cognitive decline in later life.
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Affiliation(s)
- Carol E. Franz
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA
| | - Hong Xian
- Department of Epidemiology & Biostatistics, St. Louis University, St. Louis, MO, USA
| | - Daphne Lew
- Department of Epidemiology & Biostatistics, St. Louis University, St. Louis, MO, USA
| | - Sean N. Hatton
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA
| | - Olivia Puckett
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA
| | - Nathan Whitsel
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA
| | - Asad Beck
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Anders M. Dale
- Department of Radiology, University of California San Diego, La Jolla CA, USA
| | - Bin Fang
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA
| | - Christine Fennema-Notestine
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA,Department of Radiology, University of California San Diego, La Jolla CA, USA
| | - Richard L. Hauger
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA,Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, USA
| | - Kristen C. Jacobson
- Department of Psychiatry & Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Chandra A. Reynolds
- Department of Psychology, University of California Riverside, Riverside, CA, USA
| | - William S. Kremen
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla CA, USA,Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, USA
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10
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Hatton SN, Franz CE, Elman JA, Panizzon MS, Hagler DJ, Fennema-Notestine C, Eyler LT, McEvoy LK, Lyons MJ, Dale AM, Kremen WS. Negative fateful life events in midlife and advanced predicted brain aging. Neurobiol Aging 2018; 67:1-9. [PMID: 29609076 PMCID: PMC5955847 DOI: 10.1016/j.neurobiolaging.2018.03.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2017] [Revised: 02/08/2018] [Accepted: 03/02/2018] [Indexed: 01/30/2023]
Abstract
Negative fateful life events (FLEs) such as interpersonal conflict, death in the family, financial hardship, and serious medical emergencies can act as allostatic stressors that accelerate biological aging. However, the relationship between FLEs and neuroanatomical aging is not well understood. We examined 359 men (mean age 62 years) participating in the Vietnam Era twin study of aging (VETSA) to determine whether negative midlife FLEs are associated with advanced brain aging after controlling for physical, psychological, and lifestyle factors. At two different time points, participants were assessed for negative FLEs, health and well-being, general cognitive ability, socioeconomic status, depression, and ethnicity. Participants underwent a magnetic resonance imaging examination, and T1-weighted images were processed with FreeSurfer. Subsequent neuroanatomical measurements were entered into the Brain-Age Regression Analysis and Computation Utility software (BARACUS) to predict brain age. Having more midlife FLEs, particularly relating to interpersonal relationships, was associated with advanced predicted brain aging (i.e., higher predicted brain age relative to chronological age). This association remained after controlling for the significant covariates of alcohol consumption, cardiovascular risk, adult socioeconomic status, and ethnicity.
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Affiliation(s)
- Sean N. Hatton
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA,Corresponding author: Sean N Hatton, , Permanent address: Department of Psychiatry, University of California, San Diego, 9500 Gilman Dr. (MC0 0738), La Jolla, CA, USA
| | - Carol E. Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Jeremy A. Elman
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Matthew S. Panizzon
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Donald J. Hagler
- Department of Radiology, University of California, San Diego, La Jolla, CA
| | - Christine Fennema-Notestine
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA,Department of Radiology, University of California, San Diego, La Jolla, CA
| | - Lisa T. Eyler
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA,Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA
| | - Linda K. McEvoy
- Department of Radiology, University of California, San Diego, La Jolla, CA
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
| | - Anders M. Dale
- Department of Radiology, University of California, San Diego, La Jolla, CA,Department of Neurosciences, University of California, San Diego, La Jolla, CA
| | - William S. Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA,Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA,Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, La Jolla, CA
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11
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Adams S, Conner S, Himali JJ, Beiser A, Vasan RS, Seshadri S, Pase MP. Vascular risk factor burden and new-onset depression in the community. Prev Med 2018; 111:348-350. [PMID: 29197532 PMCID: PMC5930122 DOI: 10.1016/j.ypmed.2017.11.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2017] [Revised: 11/13/2017] [Accepted: 11/26/2017] [Indexed: 12/25/2022]
Abstract
Depression is associated with an increased likelihood of cardiac events and stroke. We hypothesized that the vascular risk factor burden might itself predispose to both cardiovascular events and depression. Therefore, we examined whether aggregate scores of vascular risk factor burden were associated with the new-onset of depression in the community. We studied 2023 depression- and dementia-free Framingham Heart Study (Framingham, USA) Offspring participants who attended both examination cycles 7 (1998-2001) and 8 (2005-2008). The American Heart Association Ideal Cardiovascular Health metric and the Framingham stroke risk profile were calculated at exam seven. New-onset depression was adjudicated at examination cycle eight as antidepressant medication use or Centre for Epidemiologic Studies Depression Scale scores ≥16, after a mean follow-up of 6.6years (standard deviation=0.7). Of the 2023 participants, 269 (13%) developed new-onset depression. Following adjustments for age, sex, education, and the time interval between baseline and follow-up, the odds of new-onset depression decreased by 10% for each one-point increase in ideal cardiovascular health scores (Odds Ratio [OR], 0.90; 95% confidence interval [CI] 0.81-0.99) and increased by 4% for each percentage point increase in the Framingham stroke risk profile (OR, 1.04; CI, 1.00-1.07). Results were not explained by interim clinical stroke or cerebral white matter injury. In conclusion, vascular risk factor burden was associated with the new onset of depression. Shared vascular risk factors may contribute to the increased risk of cardiovascular events observed in persons with depression.
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Affiliation(s)
- Shayna Adams
- Department of Neurology, Boston University School of Medicine, 72 East Concord St., Boston, MA 02118, USA; Framingham Heart Study, 73 Mt. Wayte Avenue, Suite 2, Framingham, MA 01702-5827, USA
| | - Sarah Conner
- Framingham Heart Study, 73 Mt. Wayte Avenue, Suite 2, Framingham, MA 01702-5827, USA; Department of Biostatistics, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA
| | - Jayandra J Himali
- Department of Neurology, Boston University School of Medicine, 72 East Concord St., Boston, MA 02118, USA; Framingham Heart Study, 73 Mt. Wayte Avenue, Suite 2, Framingham, MA 01702-5827, USA; Department of Biostatistics, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA
| | - Alexa Beiser
- Department of Neurology, Boston University School of Medicine, 72 East Concord St., Boston, MA 02118, USA; Framingham Heart Study, 73 Mt. Wayte Avenue, Suite 2, Framingham, MA 01702-5827, USA; Department of Biostatistics, Boston University School of Public Health, 715 Albany St., Boston, MA 02118, USA
| | - Ramachandran S Vasan
- Framingham Heart Study, 73 Mt. Wayte Avenue, Suite 2, Framingham, MA 01702-5827, USA; Sections of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, 801 Massachusetts Ave, Boston, MA 02118, USA; Department of Epidemiology, Boston University School of Public Health, 801 Massachusetts Ave, Boston, MA 02118, USA
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, 72 East Concord St., Boston, MA 02118, USA; Framingham Heart Study, 73 Mt. Wayte Avenue, Suite 2, Framingham, MA 01702-5827, USA
| | - Matthew P Pase
- Department of Neurology, Boston University School of Medicine, 72 East Concord St., Boston, MA 02118, USA; Framingham Heart Study, 73 Mt. Wayte Avenue, Suite 2, Framingham, MA 01702-5827, USA; Centre for Human Psychopharmacology, Swinburne University of Technology, Burwood Rd, Hawthorn 3122, Australia.
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12
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Xian H, Vasilopoulos T, Liu W, Hauger RL, Jacobson KC, Lyons MJ, Panizzon M, Reynolds CA, Vuoksimaa E, Kremen WS, Franz CE. Steeper change in body mass across four decades predicts poorer cardiometabolic outcomes at midlife. Obesity (Silver Spring) 2017; 25:773-780. [PMID: 28349665 PMCID: PMC5373489 DOI: 10.1002/oby.21791] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 12/19/2016] [Accepted: 01/04/2017] [Indexed: 01/02/2023]
Abstract
OBJECTIVE This study examined patterns of change in adiposity across four decades starting in young adulthood as well as associations between change and midlife cardiometabolic outcomes. METHODS BMI was assessed at ages 20, 40, 56, and 62 years in 977 male veterans from the Vietnam Era Twin Study of Aging. Age 62 (range 56-66) cardiometabolic outcomes included hypertension, diabetes, dyslipidemia, inflammation, and ischemic heart disease. Analyses included latent growth modeling (LGM), latent class growth modeling (LCGM), and logistic regression models. RESULTS Linear BMI slope was associated with all outcomes. Accelerated (quadratic) BMI slope was significantly associated with greater risk for hypertension, diabetes, dyslipidemia, and inflammation; odds ratios ranged from 1.93 (diabetes) to 3.15 (dyslipidemia). Initial BMI did not predict later outcomes. Linear slope contributed significant unique variance for diabetes and dyslipidemia even controlling for age 62 BMI. LCGM revealed three trajectories. Men with the relatively stable, lower BMI trajectory had significantly better outcomes than those with trajectories with accelerated increases, especially those including obesity. CONCLUSIONS How individuals reach late-midlife BMI is important. Steepness of BMI change across 40 years from young adulthood to late midlife, in addition to late-midlife BMI itself, was robustly associated with greater risk for poor cardiometabolic outcomes.
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Affiliation(s)
- Hong Xian
- Department of Biostatistics, St. Louis University, St. Louis, Missouri, USA
| | - Terrie Vasilopoulos
- Department of Anesthesiology, University of Florida, Gainesville, Florida, USA
| | - Weijian Liu
- Department of Biostatistics, St. Louis University, St. Louis, Missouri, USA
| | - Richard L Hauger
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, California, USA
| | - Kristen C Jacobson
- Department of Psychiatry & Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
| | - Matthew Panizzon
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Chandra A Reynolds
- Department of Psychology, University of California Riverside, Riverside, California, USA
| | - Eero Vuoksimaa
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - William S Kremen
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, California, USA
| | - Carol E Franz
- Department of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA
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13
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Association between major depression and type 2 diabetes in midlife: findings from the Screening Across the Lifespan Twin Study. Psychosom Med 2015; 77:559-66. [PMID: 25967355 PMCID: PMC4459909 DOI: 10.1097/psy.0000000000000182] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Cohort studies suggest that the relationship between major depression (MD) and Type 2 diabetes (T2DM) is bidirectional. However, this association may be confounded by shared genetic or environmental factors. The objective of this study was to use a twin design to investigate the association between MD and T2DM. METHODS Data come from the Screening Across the Lifespan Twin Study, a sample of monozygotic and dizygotic twins 40 years or older sampled from the Swedish Twin Registry (n = 37,043). MD was assessed by using the Composite International Diagnostic Inventory. Structural equation twin modeling and Cox proportional hazards modeling were used to assess the relationship between MD and T2DM. RESULTS Approximately 19% of respondents had a history of MD and 5% had a history of T2DM. MD was associated with 32% increased likelihood of T2DM (95% confidence interval = 1.00-1.80) among twins aged 40 to 55 years, even after accounting for genetic risk, but was not associated with T2DM among twins older than 55 years. T2DM was associated with 33% increased likelihood of MD (95% confidence interval = 1.02-1.72) among younger, but not older twins. Cholesky decomposition twin modeling indicated that common unique environmental factors contribute to the association between MD and T2DM. CONCLUSIONS Environmental factors that are unique to individuals (i.e., not shared within families) but common to both MD and T2DM contribute to their co-occurrence in midlife. However, we cannot exclude the possibility of bidirectional causation as an alternate explanation. It is likely that multiple processes are operating to effect the relation between psychiatric and medical conditions in midlife.
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14
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Freedland KE, Carney RM. Depression as a risk factor for adverse outcomes in coronary heart disease. BMC Med 2013; 11:131. [PMID: 23675637 PMCID: PMC3658994 DOI: 10.1186/1741-7015-11-131] [Citation(s) in RCA: 59] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2012] [Accepted: 05/01/2013] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Depression is firmly established as an independent predictor of mortality and cardiac morbidity in patients with coronary heart disease (CHD). However, it has been difficult to determine whether it is a causal risk factor, and whether treatment of depression can improve cardiac outcomes. In addition, research on biobehavioral mechanisms has not yet produced a definitive causal model of the relationship between depression and cardiac outcomes. DISCUSSION Key challenges in this line of research concern the measurement of depression, the definition and relevance of certain subtypes of depression, the temporal relationship between depression and CHD, underlying biobehavioral mechanisms, and depression treatment efficacy. SUMMARY This article examines some of the methodological challenges that will have to be overcome in order to determine whether depression should be regarded as a key target of secondary prevention in CHD.
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Affiliation(s)
- Kenneth E Freedland
- Department of Psychiatry, Washington University School of Medicine, 4320 Forest Park Avenue, St Louis, MO 63108, USA.
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