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Li Y, Muschalla B. Virtual Reality Mental Health Interventions in Geriatric Care for Functional or Well-being Enhancement - A Scoping Review. DIE REHABILITATION 2024. [PMID: 38885655 DOI: 10.1055/a-2316-6541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
PURPOSE It has become common to use Virtual Reality (VR) for mental health interventions; however, its use in care of the elederly is limited, especially regarding mood and well-being. In this review, we summarize the results of current VR-based mental health interventions for this population. METHODS Peer-reviewed journal articles on immersive VR mental health intervention in seniors, published until 2022, were included. RESULTS There were 2697 results found in the database search, of which 40 articles met the inclusion criteria and were included in the final analysis. Most studies did not use an experimental design with randomized controlled trials and follow-up sessions. Function-oriented and entertainment-oriented intervention studies were categorized. VR-based geriatric mental interventions have grown rapidly since 2018, especially the number of interventions that promote wellbeing. The function-oriented intervention used active interactions with varied devices. Entertainment-oriented interaction was primarily passive, seldomly using hand controllers for moving activities. Generally, VR interventions improved the mental health of older adults. CONCLUSION Geriatric rehabilitation can benefit from this innovative technology to maintain cognitive functions and to improve the well-being of seniors. They have potential for use in aging care and in retirement homes. Future VR intervention may also involve promoting social interaction to combat loneliness among seniors.
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Riestra-Camacho R, Enamorado MÁJ. A Psychoneuroimmunological Reading of Jane Austen's Persuasion in the Context of Bodily Aging. THE JOURNAL OF MEDICAL HUMANITIES 2024; 45:139-155. [PMID: 38575758 PMCID: PMC11068685 DOI: 10.1007/s10912-024-09845-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/22/2024] [Indexed: 04/06/2024]
Abstract
Jane Austen normally avoids discussing appearance throughout her works. Persuasion constitutes the exception to the rule, as the story focuses on the premature aging experienced by her protagonist, Anne Elliot, seemingly due to disappointed love. Much has been written about Anne's "loss of bloom," but never from the perspective of psychoneuroimmunology, the field that researches the interrelation between psychological processes and the nervous and immune systems. In this paper, we adopt a perspective of psychoneuroimmunology to argue that Austen established a connection between psychological distress, specifically lovesickness, and the development of early senescence signs, and vice versa, since the recovery of love is associated with happiness and physical glow. From a gender perspective, we discuss how Austen brightly reflected these interrelationships through the story of Anne, when the latest psychoneuroimmunological research has actually shown that women age earlier than men as a consequence of psychological turmoil.
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Caspi A, Shireby G, Mill J, Moffitt TE, Sugden K, Hannon E. Accelerated Pace of Aging in Schizophrenia: Five Case-Control Studies. Biol Psychiatry 2024; 95:1038-1047. [PMID: 37924924 PMCID: PMC11063120 DOI: 10.1016/j.biopsych.2023.10.023] [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: 06/22/2023] [Revised: 09/29/2023] [Accepted: 10/21/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND Schizophrenia is associated with increased risk of developing multiple aging-related diseases, including metabolic, respiratory, and cardiovascular diseases, and Alzheimer's and related dementias, leading to the hypothesis that schizophrenia is accompanied by accelerated biological aging. This has been difficult to test because there is no widely accepted measure of biological aging. Epigenetic clocks are promising algorithms that are used to calculate biological age on the basis of information from combined cytosine-phosphate-guanine sites (CpGs) across the genome, but they have yielded inconsistent and often negative results about the association between schizophrenia and accelerated aging. Here, we tested the schizophrenia-aging hypothesis using a DNA methylation measure that is uniquely designed to predict an individual's rate of aging. METHODS We brought together 5 case-control datasets to calculate DunedinPACE (Pace of Aging Calculated from the Epigenome), a new measure trained on longitudinal data to detect differences between people in their pace of aging over time. Data were available from 1812 psychosis cases (schizophrenia or first-episode psychosis) and 1753 controls. Mean chronological age was 38.9 (SD = 13.6) years. RESULTS We observed consistent associations across datasets between schizophrenia and accelerated aging as measured by DunedinPACE. These associations were not attributable to tobacco smoking or clozapine medication. CONCLUSIONS Schizophrenia is accompanied by accelerated biological aging by midlife. This may explain the wide-ranging risk among people with schizophrenia for developing multiple different age-related physical diseases, including metabolic, respiratory, and cardiovascular diseases, and dementia. Measures of biological aging could prove valuable for assessing patients' risk for physical and cognitive decline and for evaluating intervention effectiveness.
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Affiliation(s)
- Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina; Social, Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, United Kingdom; PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway.
| | - Gemma Shireby
- Centre of Longitudinal Studies, University College London, Exeter, United Kingdom
| | - Jonathan Mill
- University of Exeter Medical School, University of Exeter, Exeter, United Kingdom
| | - Terrie E Moffitt
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina; Social, Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, United Kingdom; PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway
| | - Karen Sugden
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Eilis Hannon
- University of Exeter Medical School, University of Exeter, Exeter, United Kingdom
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Furuya S, Fletcher JM. Retirement Makes You Old? Causal Effect of Retirement on Biological Age. Demography 2024; 61:901-931. [PMID: 38779956 DOI: 10.1215/00703370-11380637] [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] [Indexed: 05/25/2024]
Abstract
Retirement is a critical life event for older people. Health scholars have scrutinized the health effects of retirement, but its consequences on age-related diseases and mortality are unclear. We extend this body of research by integrating measurements of biological age, representing the physiological decline preceding disease onset. Using data from the UK Biobank and a fuzzy regression discontinuity design, we estimated the effects of retirement on two biomarker-based biological age measures. Results showed that retirement significantly increases biological age for those induced to retire by the State Pension eligibility by 0.871-2.503 years, depending on sex and specific biological age measurement. Given the emerging scientific discussion about direct interventions to biological age to achieve additional improvements in population health, the positive effect of retirement on biological age has important implications for an increase in the State Pension eligibility age and its potential consequences on population health, public health care policy, and older people's labor force participation. Overall, this study provides novel empirical evidence contributing to the question of what social factors make people old.
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Affiliation(s)
- Shiro Furuya
- Department of Sociology, Center for Demography and Ecology, and Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, USA
| | - Jason M Fletcher
- Center for Demography and Ecology, La Follette School of Public Affairs, Department of Population Health Science, and Department of Agricultural and Applied Economics, University of Wisconsin-Madison, Madison, WI, USA
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Zannas AS. Biological Aging and Mental Illness-A Vicious Cycle? JAMA Psychiatry 2024; 81:433-434. [PMID: 38477905 DOI: 10.1001/jamapsychiatry.2024.0084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
This Viewpoint discusses biological aging and mental illness.
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Affiliation(s)
- Anthony S Zannas
- Department of Psychiatry, University of North Carolina, Chapel Hill
- Department of Genetics, University of North Carolina, Chapel Hill
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Hernandes ECR, Aliberti MJR, Guerra RO, Ferriolli E, Perracini MR. Intrinsic capacity and hospitalization among older adults: a nationally representative cross-sectional study. Eur Geriatr Med 2024:10.1007/s41999-024-00933-y. [PMID: 38491314 DOI: 10.1007/s41999-024-00933-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 01/04/2024] [Indexed: 03/18/2024]
Abstract
PURPOSE Monitoring intrinsic capacity (IC) in community-dwelling older people can be potentially used to alert for adverse health outcomes. However, whether there is an association between IC and hospitalization has yet to be fully explored. This study aimed to investigate the association of the IC composite measure and its 5 domains with hospitalization in the previous year and length of hospital stay. METHODS We conducted cross-sectional analyses using data from a representative sample of community-dwelling adults (≥ 65 years). We assessed the IC domains (vitality, locomotor, cognitive, sensory, and psychological) using validated self-reported information and performance tests. We calculated standardized estimated scores (z scores) for IC composite measure and domains and conducted multivariate logistic and ordinal regressions. The primary outcomes were hospitalizations in the previous year and length of hospital stay. RESULTS In a sample of 5354 participants (mean age = 73 ± 6 years), we found that participants with high IC composite z scores were less likely to have experienced hospitalization in the previous year (OR = 0.51; 95% CI = 0.44-0.58). Among those who were hospitalized, high IC scores were associated with short stays (OR = 0.87; 95% CI = 0.80-0.95). Cognitive and psychological domains were associated with hospitalizations, and the locomotor domain was related to length of hospital stay. The vitality domain was associated with both outcomes. CONCLUSION IC as a composite measure was associated with previous hospitalizations and length of stay. IC can help clinicians identify older people prone to adverse outcomes, prompting preventive integrated care interventions.
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Affiliation(s)
- Elisângela Cristina Ramos Hernandes
- Masters' and Doctoral Programs in Physical Therapy, Universidade Cidade de São Paulo, Rua Cesáreo Galeno, 448, Tatuapé, São Paulo, 03071-000, Brazil
| | - Márlon Juliano Romero Aliberti
- Laboratorio de Investigaçao Medica em Envelhecimento (LIM-66), Serviço de Geriatria, Hospital das Clinicas, Disciplina de Geriatria, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
- Research Institute, Hospital Sirio-Libanes, São Paulo, Brazil
| | - Ricardo Oliveira Guerra
- Department of Physiotherapy, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Eduardo Ferriolli
- Laboratorio de Investigaçao Medica em Envelhecimento (LIM-66), Serviço de Geriatria, Hospital das Clinicas, Disciplina de Geriatria, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Monica Rodrigues Perracini
- Masters' and Doctoral Programs in Physical Therapy, Universidade Cidade de São Paulo, Rua Cesáreo Galeno, 448, Tatuapé, São Paulo, 03071-000, Brazil.
- Master's and Doctoral Programs in Gerontology, Faculty of Medical Sciences, Universidade Estadual de Campinas, Campinas, Brazil.
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Coe JL, Daniels T, Huffhines L, Seifer R, Marsit CJ, Kao HT, Porton B, Parade SH, Tyrka AR. Examining the Biological Impacts of Parent-Child Relationship Dynamics on Preschool-Aged Children who have Experienced Adversity. Dev Psychobiol 2024; 66:e22463. [PMID: 38601953 PMCID: PMC11003752 DOI: 10.1002/dev.22463] [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: 12/12/2022] [Accepted: 01/11/2024] [Indexed: 04/12/2024]
Abstract
Parent-child relationship dynamics have been shown to predict socioemotional and behavioral outcomes for children, but little is known about how they may affect biological development. The aim of this study was to test if observational assessments of parent-child relationship dynamics (cohesion, enmeshment, and disengagement) were associated with three biological indices of early life adversity and downstream health risk: (1) methylation of the glucocorticoid receptor gene (NR3C1), (2) telomere attrition, and (3) mitochondrial biogenesis, indexed by mitochondrial DNA copy number (mtDNAcn), all of which were measured in children's saliva. We tested hypotheses using a sample of 254 preschool-aged children (M age = 51.04 months) with and without child welfare-substantiated maltreatment (52% with documented case of moderate-severe maltreatment) who were racially and ethnically diverse (17% Black, 40% White, 23% biracial, and 20% other races; 45% Hispanic) and from primarily low-income backgrounds (91% qualified for public assistance). Results of path analyses revealed that: (1) higher parent-child cohesion was associated with lower levels of methylation of NR3C1 exon 1D and longer telomeres, and (2) higher parent-child disengagement was associated with higher levels of methylation of NR3C1 exon 1D and shorter telomeres. Results suggest that parent-child relationship dynamics may have distinct biological effects on children.
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Affiliation(s)
- Jesse L. Coe
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Bradley/Hasbro Children’s Research Center, E.P. Bradley Hospital, East Providence, RI, USA
- Initiative on Stress, Trauma, and Resilience (STAR Initiative), Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Teresa Daniels
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Initiative on Stress, Trauma, and Resilience (STAR Initiative), Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
| | - Lindsay Huffhines
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Bradley/Hasbro Children’s Research Center, E.P. Bradley Hospital, East Providence, RI, USA
- Initiative on Stress, Trauma, and Resilience (STAR Initiative), Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Ronald Seifer
- Frank Porter Graham Child Development Institute, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Carmen J. Marsit
- Gangarosa Department of Environmental Health, Emory Rollins School of Public Health, Atlanta, GA, USA
- Department of Epidemiology, Emory Rollins School of Public Health, Atlanta, GA, USA
| | - Hung-Teh Kao
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Barbara Porton
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Stephanie H. Parade
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Bradley/Hasbro Children’s Research Center, E.P. Bradley Hospital, East Providence, RI, USA
- Initiative on Stress, Trauma, and Resilience (STAR Initiative), Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Audrey R. Tyrka
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Initiative on Stress, Trauma, and Resilience (STAR Initiative), Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
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Martinez RAM, Howard AG, Fernández-Rhodes L, Maselko J, Pence BW, Dhingra R, Galea S, Uddin M, Wildman DE, Aiello AE. Does biological age mediate the relationship between childhood adversity and depression? Insights from the Detroit Neighborhood Health Study. Soc Sci Med 2024; 340:116440. [PMID: 38039767 PMCID: PMC10843850 DOI: 10.1016/j.socscimed.2023.116440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/26/2023] [Accepted: 11/15/2023] [Indexed: 12/03/2023]
Abstract
The link between childhood adversity and adulthood depression is well-established; however, the underlying mechanisms are still being explored. Recent research suggests biological age may mediate the relationship between childhood adversity and depression in later life. This study examines if biological age mediates the relationship between childhood adversity and depression symptoms using an expanded set of biological age measures in an urban population-based cohort. Data from waves 1-3 of the Detroit Neighborhood Health Study (DNHS) were used in this analysis. Questions about abuse during childhood were coded to form a childhood adversity score similar to the Adverse Childhood Experience measure. Multiple dimensions of biological age, defined as latent variables, were considered, including systemic biological age (GrimAge, PhenoAge), epigenetic age (Horvath, SkinBlood), and immune age (cytomegalovirus, herpes simplex virus type 1, C-reactive protein, interleukin-6). Depression symptoms, modeled as a latent variable, were captured through the Patient Health Questionnaire-9 (PHQ-9). Models were adjusted for age, gender, race, parent education, and past depressive symptoms. Total and direct effects of childhood adversity on depression symptoms and indirect effects mediated by biological age were estimated. For total and direct effects, we observed a dose-dependent relationship between cumulative childhood adversity and depression symptoms, with emotional abuse being particularly influential. However, contrary to prior studies, in this sample, we found few direct effects of childhood adversity on biological age or biological age on depression symptoms and no evidence of mediation through the measures of biological age considered in this study. Further research is needed to understand how childhood maltreatment experiences are embodied to influence health and wellness.
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Affiliation(s)
- Rae Anne M Martinez
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Annie Green Howard
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Joanna Maselko
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Brian W Pence
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Radhika Dhingra
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Sandro Galea
- Office of the Dean, School of Public Health, Boston University, Boston, USA
| | - Monica Uddin
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Derek E Wildman
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Allison E Aiello
- Department of Epidemiology, Mailman School of Public Health, Columbia, NY, New York, USA; Robert N. Butler Columbia Aging Center, Columbia, NY, New York, USA
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Wolf EJ, Miller MW, Hawn SE, Zhao X, Wallander SE, McCormick B, Govan C, Rasmusson A, Stone A, Schichman SA, Logue MW. Longitudinal study of traumatic-stress related cellular and cognitive aging. Brain Behav Immun 2024; 115:494-504. [PMID: 37967663 PMCID: PMC10843744 DOI: 10.1016/j.bbi.2023.11.009] [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: 04/12/2023] [Revised: 09/18/2023] [Accepted: 11/11/2023] [Indexed: 11/17/2023] Open
Abstract
Traumatic stress is associated with both accelerated epigenetic age and increased risk for dementia. Accelerated epigenetic age might link symptoms of traumatic stress to dementia-associated biomarkers, such as amyloid-beta (Aβ) proteins, neurofilament light (NFL), and inflammatory molecules. We tested this hypothesis using longitudinal data obtained from 214 trauma-exposed military veterans (85 % male, mean age at baseline: 53 years, 75 % White) who were assessed twice over the course of an average of 5.6 years. Cross-lagged panel mediation models evaluated measures of lifetime posttraumatic stress disorder and internalizing and externalizing comorbidity (assessed at Time 1; T1) in association with T1 epigenetic age (per the GrimAge algorithm) and T1 plasma markers of neuropathology along with bidirectional temporal paths between T1 and T2 epigenetic age and the plasma markers. Results revealed that a measure of externalizing comorbidity was associated with accelerated epigenetic age (β = 0.30, p <.01), which in turn, was associated with subsequent increases in Aβ-40 (β = 0.20, p <.001), Aβ-42 (β = 0.18, p <.001), and interleukin-6 (β = 0.18, p <.01). T1 advanced epigenetic age and the T1 neuropathology biomarkers NFL and glial fibrillary acidic protein predicted worse performance on T2 neurocognitive tasks assessing working memory, executive/attentional control, and/or verbal memory (ps = 0.03 to 0.009). Results suggest that advanced GrimAge is predictive of subsequent increases in neuropathology and inflammatory biomarkers as well as worse cognitive function, highlighting the clinical significance of this biomarker with respect to cognitive aging and brain health over time. The finding that advanced GrimAge mediated the association between psychiatric comorbidity and future neuropathology is important for understanding potential pathways to neurodegeneration and early identification of those at greatest risk.
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Affiliation(s)
- Erika J Wolf
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA.
| | - Mark W Miller
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Sage E Hawn
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Old Dominion University, Department of Psychology, Norfolk, VA, USA
| | - Xiang Zhao
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA
| | - Sara E Wallander
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Beth McCormick
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Christine Govan
- MAVERIC Central Biorepository, VA Boston Healthcare System, Boston, MA, USA
| | - Ann Rasmusson
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA
| | - Annjanette Stone
- Pharmacogenomics Analysis Laboratory, Research Service, Central Arkansas Veterans Healthcare System, Little Rock, AR, USA
| | - Steven A Schichman
- Pathology and Laboratory Medicine Service, Central Arkansas Veterans Healthcare System, USA; Department of Pathology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Mark W Logue
- National Center for PTSD at VA Boston Healthcare System, Boston, MA, USA; Boston University Chobanian & Avedisian School of Medicine, Department of Psychiatry, Boston, MA, USA; Boston University School of Public Health, Department of Biostatistics, Boston, MA, USA; Boston University School of Medicine, Department of Medicine, Biomedical Genetics, Boston, MA, USA
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Marcon F, Salemi M, D’Ippolito C, Picardi A, Toccaceli V, Nisticò L, Alviti S, Siniscalchi E, Salani F, Varalda GM, Medda E, Fagnani C. Investigating Genetic and Environmental Substrates of the Relationship between Positive Mental Health and Biological Aging-A Study Protocol. Brain Sci 2023; 13:1720. [PMID: 38137168 PMCID: PMC10741945 DOI: 10.3390/brainsci13121720] [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: 11/27/2023] [Revised: 12/06/2023] [Accepted: 12/13/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND The Italian National Institute of Health (Istituto Superiore di Sanità) funded a 30-month project (July 2021-January 2024) to conduct a twin study of the relationships between Positive Mental Health (PMH) and cellular longevity. Only a few previous studies have focused on the biomarkers of aging in relation to psychological well-being, and none of them exploited the potential of the twin design. METHOD In this project, following the standard procedures of the Italian Twin Registry (ITR), we aim to recruit 200 adult twin pairs enrolled in the ITR. They are requested to complete a self-report questionnaire battery on PMH and to undergo a blood withdrawal for the assessment of aging biomarkers, i.e., telomere length and mitochondrial DNA functionality. The association between psychological and aging biomarker measures will be assessed, controlling for genetic and familial confounding effects using the twin study design. RESULTS AND CONCLUSIONS Biomarker assays are underway. Once data are available for the total study sample, statistical analyses will be performed. The project's results may shed light on new mechanisms underlying the mind-body connection and may prove helpful to promote psychological well-being in conjunction with biological functioning.
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Affiliation(s)
- Francesca Marcon
- Unit of Mechanisms/Biomarkers/Models, Department of Environment and Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (F.M.); (E.S.); (F.S.); (G.M.V.)
| | - Miriam Salemi
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (M.S.); (C.D.); (A.P.); (V.T.); (L.N.); (S.A.); (E.M.)
| | - Cristina D’Ippolito
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (M.S.); (C.D.); (A.P.); (V.T.); (L.N.); (S.A.); (E.M.)
| | - Angelo Picardi
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (M.S.); (C.D.); (A.P.); (V.T.); (L.N.); (S.A.); (E.M.)
| | - Virgilia Toccaceli
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (M.S.); (C.D.); (A.P.); (V.T.); (L.N.); (S.A.); (E.M.)
| | - Lorenza Nisticò
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (M.S.); (C.D.); (A.P.); (V.T.); (L.N.); (S.A.); (E.M.)
| | - Sabrina Alviti
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (M.S.); (C.D.); (A.P.); (V.T.); (L.N.); (S.A.); (E.M.)
| | - Ester Siniscalchi
- Unit of Mechanisms/Biomarkers/Models, Department of Environment and Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (F.M.); (E.S.); (F.S.); (G.M.V.)
| | - Francesca Salani
- Unit of Mechanisms/Biomarkers/Models, Department of Environment and Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (F.M.); (E.S.); (F.S.); (G.M.V.)
| | - Giorgia Maria Varalda
- Unit of Mechanisms/Biomarkers/Models, Department of Environment and Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (F.M.); (E.S.); (F.S.); (G.M.V.)
| | - Emanuela Medda
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (M.S.); (C.D.); (A.P.); (V.T.); (L.N.); (S.A.); (E.M.)
| | - Corrado Fagnani
- Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; (M.S.); (C.D.); (A.P.); (V.T.); (L.N.); (S.A.); (E.M.)
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11
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Sara JDS, Lerman LO, Lerman A. What Can Biologic Aging Tell Us About the Effects of Mental Stress on Vascular Health. Hypertension 2023; 80:2515-2522. [PMID: 37814855 DOI: 10.1161/hypertensionaha.123.19418] [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] [Indexed: 10/11/2023]
Abstract
Cardiovascular disease is often a disease of aging. Considerable advances in our understanding of the biological mechanisms of aging have been made; yet, cardiovascular disease remains the leading cause of death in the United States urging a continued search for novel risk factors to target for preventing and treating disease. Mental stress (MS) is emerging as an important risk factor, and while progress has been made in understanding the link between MS and cardiovascular disease, the precise mechanisms of a putative causal relationship require greater clarification. In the current review, we (1) summarize our current understanding of the pathological effects of MS on vascular health; (2) describe important aspects of the pathobiology of vascular aging including inflammation, oxidative stress, mitochondrial dysfunction as well as novel processes such as genomic instability, epigenetic alterations, and nutrient signal pathways; (3) highlight similarities in the downstream biologic effects of aging and MS on vascular health with an emphasis on cellular and molecular processes that could be used to develop novel prognostic markers and treatment strategies for cardiovascular disease; (4) discuss lifestyle and pharmacological methods that target indicators of aging whose role could be translated into approaches managing the effects of MS; and (5) outline important future steps that should be considered in this area of research including the need for prospective clinical trials and for creating greater collaboration between preclinical aging researchers and clinical investigators managing MS.
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Affiliation(s)
| | - Lilach O Lerman
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN (L.O.L.)
| | - Amir Lerman
- Department of Cardiovascular Diseases, Mayo College of Medicine, Rochester, MN (J.D.S.S., A.L.)
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12
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Zhang F, Chang H, Schaefer SM, Gou J. Biological age and brain age in midlife: relationship to multimorbidity and mental health. Neurobiol Aging 2023; 132:145-153. [PMID: 37804610 PMCID: PMC10803130 DOI: 10.1016/j.neurobiolaging.2023.09.003] [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: 11/04/2022] [Revised: 08/30/2023] [Accepted: 09/07/2023] [Indexed: 10/09/2023]
Abstract
Biological age and brain age estimated using biological and neuroimaging measures have recently emerged as surrogate aging biomarkers shown to be predictive of diverse health outcomes. As aging underlies the development of many chronic conditions, surrogate aging biomarkers capture health at the whole person level, having the potential to improve our understanding of multimorbidity. Our study investigates whether elevated biological age and brain age are associated with an increased risk of multimorbidity using a large dataset from the Midlife in the United States Refresher study. Ensemble learning is utilized to combine multiple machine learning models to estimate biological age using a comprehensive set of biological markers. Brain age is obtained using Gaussian processes regression and neuroimaging data. Our study is the first to examine the relationship between accelerated brain age and multimorbidity. Furthermore, it is the first attempt to explore how biological age and brain age are related to multimorbidity in mental health. Our findings hold the potential to advance the understanding of disease accumulation and their relationship with aging.
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Affiliation(s)
- Fengqing Zhang
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, USA.
| | - Hansoo Chang
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, USA
| | - Stacey M Schaefer
- Institute on Aging, University of Wisconsin-Madison, Madison, WI, USA
| | - Jiangtao Gou
- Department of Mathematics and Statistics, Villanova University, Villanova, PA, USA
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13
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Gao S, Deng H, Wen S, Wang Y. Effects of accelerated biological age on depressive symptoms in a causal reasoning framework. J Affect Disord 2023; 339:732-741. [PMID: 37442448 DOI: 10.1016/j.jad.2023.07.019] [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: 04/09/2023] [Revised: 06/07/2023] [Accepted: 07/08/2023] [Indexed: 07/15/2023]
Abstract
BACKGROUND Depression in middle-aged and elderly individuals is multifaceted and heterogeneous, linked to biological age (BA) based on aging-related biomarkers. However, due to confounding with chronological age and the absence of subgroup analysis and causal reasoning, the association between BA and depressive symptoms (DS) might be unstable and requires further investigation. METHODS We utilized data from the China Health and Retirement Longitudinal Study (N = 9478) to perform association analysis, causal inference, and subgroup analysis. BA acceleration (BAA) was derived using machine learning and adjusted for chronological age. A generalized linear mixed-effects model (GLMM) tree algorithm was employed to identify subgroups. The causal reasoning frame included propensity score matching and fast large-scale almost matching exactly. RESULTS In the longitudinal analysis, BAA exhibited a consistent and significant positive association with DS, even after controlling for demographic characteristics, lifestyle factors, health status, and physical functions. This association remained unchanged within the causal framework. GLMM tree analysis identified three partitioning variables (sex, satisfaction, and BMI) and five subgroups. Further subgroup analysis revealed that BAA exerted the strongest effect on DS among women with less satisfying lives. LIMITATIONS Depressive symptoms were evaluated through scale measurements rather than clinical diagnosis. The sample was derived from the general population, not the clinically depressed population. CONCLUSIONS This study provided the first longitudinal evidence that biological age acceleration increases depressive symptoms under causal reasoning and subgroup analysis, particularly among less satisfied women. And the association between BAA and DS was independent of known risk factors.
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Affiliation(s)
- Sunan Gao
- School of Statistics, Renmin University of China, Beijing, China
| | - Heming Deng
- School of Statistics, Renmin University of China, Beijing, China
| | - Shaobo Wen
- School of Statistics, Renmin University of China, Beijing, China
| | - Yu Wang
- Center for Applied Statistics, Renmin University of China, Beijing, China; School of Statistics, Renmin University of China, Beijing, China.
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14
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Feng Q, Xia W, Feng Z, Tan Y, Zhang Y, Liu D, Zhang G. The accelerated organ senescence and proteotoxicity in thyrotoxicosis mice. J Cell Physiol 2023; 238:2481-2498. [PMID: 37750538 DOI: 10.1002/jcp.31108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 07/25/2023] [Accepted: 07/27/2023] [Indexed: 09/27/2023]
Abstract
The mechanism of aging has always been the focus of research, because aging is related to disease susceptibility and seriously affects people's quality of life. The diseases also accelerate the aging process, especially the pathological changes of substantive organs, such as cardiac hypertrophy, severely shortened lifespan. So, lesions in organs are both a consequence and a cause of aging. However, the disease in a given organ is not in isolation but is a systemic problem. Our previous study found that thyrotoxicosis mice model has aging characteristics including immunosenescence, lipotoxicity, malnutrition. But all these characteristics will lead to organ senescence, therefore, this study continued to study the aging changes of important organs such as heart, liver, and kidney in thyrotoxicosis mice using tandem mass tags (TMT) proteomics method. The results showed that the excess thyroxine led to cardiac hypertrophy. In the liver, the ability to synthesize functional proteins, detoxify, and metabolism were declined. The effect on the kidney was the decreased ability of detoxify and metabolism. The main finding of the present study was that the acceleration of organ senescence by excess thyroxine was due to proteotoxicity. The shared cause of proteotoxicity in the three organs included the intensify of oxidative phosphorylation, the redundancy production of ribosomes, and the lack of splicing and ubiquitin proteasome system function. Totally, proteotoxicity was another parallel between thyrotoxicosis and aging in addition to lipotoxicity. Our research provided a convenient and appropriate animal model for exploring aging mechanism and antiaging drugs.
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Affiliation(s)
- Qin Feng
- State Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi, Shandong, China
| | - Wenkai Xia
- State Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi, Shandong, China
| | - Zhong Feng
- State Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi, Shandong, China
- School of Pharmaceutical Sciences, Sun Yat-sen University, Shenzhen, China
| | - Yujun Tan
- State Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi, Shandong, China
| | - Yongxia Zhang
- State Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi, Shandong, China
| | - Deshan Liu
- Department of Traditional Chinese Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Guimin Zhang
- State Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi, Shandong, China
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15
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Monge-Martín D, Caballero-Martínez F, João Forjaz M, J. Castillo M, Rodríguez-Blázquez C. Health state perception of people close to retirement age: Relationship with lifestyle habits and subjects' characteristics. Heliyon 2023; 9:e17995. [PMID: 37519727 PMCID: PMC10375557 DOI: 10.1016/j.heliyon.2023.e17995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 06/28/2023] [Accepted: 07/05/2023] [Indexed: 08/01/2023] Open
Abstract
Aim Societal ageing increases the need for correct and healthy ageing to ensure the well-being of older adults. Practical strategies are needed to acquire healthy habits for the ageing process. This study aims to analyse the lifestyle habits of subjects who are retired or close to retirement and identify factors that could influence their perceived health and that could be related to these habits. Methods A Spanish observational, descriptive, cross-sectional study of subjects close to retirement-age. Socio-demographic, family, work, leisure, social, and clinical-psychological indicators were evaluated. Results 1,700 participants (581 employed; 714 retirees; 405 other-status) were included, average age 63 years, 52% women. Most reported a satisfactory social life (90%), were in live-in relationships (74%), non-smoking (80%), followed a Mediterranean diet (73%), and took medicines daily (70%). Perceived health (EQ-VAS) was 75.9/100, with low disability (12-WHODAS) (7.4/100) and moderate/severe depression. Women reported higher disability (p < 0.001) and depression (p < 0.001), a better social life, and healthier lifestyle, but lower physical/work activity. Retirees reported less depression, better social life, healthier lifestyle, higher physical/work activity, and better sleeping habits. The multivariate model showed a significant association of health-status with disability level, number of chronic diseases, sleep habits, exercise, diet, and alcohol consumption. When depression level was introduced, age and being a woman were also related. Conclusions Retirement does not mean worse health but rather an opportunity to reinforce favourable health activities and improve lifestyle factors. Incorporating the differences related to gender and employment status in health-perception will facilitate the design of healthy ageing strategies.
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Affiliation(s)
- Diana Monge-Martín
- Faculty of Medicine, Francisco de Vitoria University Foundation, Madrid, Spain
| | | | - Maria João Forjaz
- Instituto de Salud Carlos III, National Center of Epidemiology, Madrid, Spain
- REDISSEC, Spain
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16
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Prost SG. Racial disparities in visitation and health among older adults incarcerated in prison. Aging Ment Health 2023; 27:1086-1094. [PMID: 35818818 PMCID: PMC9834438 DOI: 10.1080/13607863.2022.2098923] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 06/16/2022] [Indexed: 01/14/2023]
Abstract
OBJECTIVES I sought to identify racial disparities in visitation and health between Non-White and White older adults incarcerated in prison and to examine the contribution of visitation to health among this vulnerable population. METHODS Descriptive and bivariate statistics were calculated to describe the cross-sectional sample and relationships between visitation and health. Independent t-tests, Chi-square tests, and effect sizes were used to identify racial disparities in measures of and relationships between visitation and health. Hierarchical multiple linear regression was used to examine the contribution of visitation to physical functioning, chronic disease, and mental health. RESULTS Older adults rated their physical functioning higher than their mental health. Over 70% of older adults received zero visits during their current incarceration (∼13 years) and White older adults received 10 times the number of visits than Non-White older adults. Increased visitation related to decreased physical functioning among Non-White older adults, a relationship distinct from that of White older adults (z=-3.14, p<.001) and visitation contributed to variation in older adults' mental health. CONCLUSION Future scholars are encouraged to examine factors associated with visitation and the quality of such visits for older adults. Further, visitation policies warrant amendment to increase visits and to enhance social support for older adults.
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Affiliation(s)
- Stephanie Grace Prost
- Raymond A. Kent School of Social Work and Family Science, University of Louisville, Louisville, KY, USA
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17
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Szymkowicz SM, Gerlach AR, Homiack D, Taylor WD. Biological factors influencing depression in later life: role of aging processes and treatment implications. Transl Psychiatry 2023; 13:160. [PMID: 37160884 PMCID: PMC10169845 DOI: 10.1038/s41398-023-02464-9] [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: 11/24/2022] [Revised: 04/23/2023] [Accepted: 04/27/2023] [Indexed: 05/11/2023] Open
Abstract
Late-life depression occurring in older adults is common, recurrent, and malignant. It is characterized by affective symptoms, but also cognitive decline, medical comorbidity, and physical disability. This behavioral and cognitive presentation results from altered function of discrete functional brain networks and circuits. A wide range of factors across the lifespan contributes to fragility and vulnerability of those networks to dysfunction. In many cases, these factors occur earlier in life and contribute to adolescent or earlier adulthood depressive episodes, where the onset was related to adverse childhood events, maladaptive personality traits, reproductive events, or other factors. Other individuals exhibit a later-life onset characterized by medical comorbidity, pro-inflammatory processes, cerebrovascular disease, or developing neurodegenerative processes. These later-life processes may not only lead to vulnerability to the affective symptoms, but also contribute to the comorbid cognitive and physical symptoms. Importantly, repeated depressive episodes themselves may accelerate the aging process by shifting allostatic processes to dysfunctional states and increasing allostatic load through the hypothalamic-pituitary-adrenal axis and inflammatory processes. Over time, this may accelerate the path of biological aging, leading to greater brain atrophy, cognitive decline, and the development of physical decline and frailty. It is unclear whether successful treatment of depression and avoidance of recurrent episodes would shift biological aging processes back towards a more normative trajectory. However, current antidepressant treatments exhibit good efficacy for older adults, including pharmacotherapy, neuromodulation, and psychotherapy, with recent work in these areas providing new guidance on optimal treatment approaches. Moreover, there is a host of nonpharmacological treatment approaches being examined that take advantage of resiliency factors and decrease vulnerability to depression. Thus, while late-life depression is a recurrent yet highly heterogeneous disorder, better phenotypic characterization provides opportunities to better utilize a range of nonspecific and targeted interventions that can promote recovery, resilience, and maintenance of remission.
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Affiliation(s)
- Sarah M Szymkowicz
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Andrew R Gerlach
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Damek Homiack
- Department of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA
| | - Warren D Taylor
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN, USA.
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA.
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18
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Yusupov N, Dieckmann L, Erhart M, Sauer S, Rex-Haffner M, Kopf-Beck J, Brückl TM, Czamara D, Binder EB. Transdiagnostic evaluation of epigenetic age acceleration and burden of psychiatric disorders. Neuropsychopharmacology 2023:10.1038/s41386-023-01579-3. [PMID: 37069357 PMCID: PMC10354057 DOI: 10.1038/s41386-023-01579-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 03/15/2023] [Accepted: 03/28/2023] [Indexed: 04/19/2023]
Abstract
Different psychiatric disorders as well as exposure to adverse life events have individually been associated with multiple age-related diseases and mortality. Age acceleration in different epigenetic clocks can serve as biomarker for such risk and could help to disentangle the interplay of psychiatric comorbidity and early adversity on age-related diseases and mortality. We evaluated five epigenetic clocks (Horvath, Hannum, PhenoAge, GrimAge and DunedinPoAm) in a transdiagnostic psychiatric sample using epigenome-wide DNA methylation data from peripheral blood of 429 subjects from two studies at the Max Planck Institute of Psychiatry. Burden of psychiatric disease, represented by a weighted score, was significantly associated with biological age acceleration as measured by GrimAge and DunedinPoAm (R2-adj. 0.22 and 0.33 for GrimAge and DunedinPoAm, respectively), but not the other investigated clocks. The relation of burden of psychiatric disease appeared independent of differences in socioeconomic status and medication. Our findings indicate that increased burden of psychiatric disease may associate with accelerated biological aging. This highlights the importance of medical management of patients with multiple psychiatric comorbidities and the potential usefulness of specific epigenetic clocks for early detection of risk and targeted intervention to reduce mortality in psychiatric patients.
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Affiliation(s)
- Natan Yusupov
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany.
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany.
| | - Linda Dieckmann
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Mira Erhart
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Susann Sauer
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
| | - Monika Rex-Haffner
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
| | - Johannes Kopf-Beck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
- Department of Psychology, Ludwig Maximilian University of Munich, Munich, Germany
| | - Tanja M Brückl
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, 80804, Germany
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Triolo F, Sjöberg L, Calderón-Larrañaga A, Belvederi Murri M, Vetrano DL, Fratiglioni L, Dekhtyar S. Late-life depression and multimorbidity trajectories: the role of symptom complexity and severity. Age Ageing 2023; 52:6974845. [PMID: 36735844 PMCID: PMC9897302 DOI: 10.1093/ageing/afac315] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/31/2022] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION as late-life depression is associated with poor somatic health, we aimed to investigate the role of depression severity and symptom phenotypes in the progression of somatic multimorbidity. METHODS we analysed data from 3,042 dementia-free individuals (60+) participating in the population-based Swedish National Study on Aging and Care in Kungsholmen. Using the baseline clinical assessment of 21 depressive symptoms from the Comprehensive Psychopathological Rating Scale, we: (i) diagnosed major, minor (in accordance with DSM-IV-TR) and subsyndromal depression; (ii) extracted symptom phenotypes by applying exploratory network graph analysis. Somatic multimorbidity was measured as the number of co-occurring chronic diseases over a 15-year follow-up. Linear mixed models were used to explore somatic multimorbidity trajectories in relation to baseline depression diagnoses and symptom phenotypes, while accounting for sociodemographic and behavioural factors. RESULTS in multi-adjusted models, relative to individuals without depression, those with major (β per year: 0.33, 95% confidence interval [CI]: 0.06-0.61) and subsyndromal depression (β per year: 0.21, 95%CI: 0.12-0.30) experienced an accelerated rate of somatic multimorbidity accumulation, whereas those with minor depression did not. We identified affective, anxiety, cognitive, and psychomotor symptom phenotypes from the network analysis. When modelled separately, an increase in symptom score for each phenotype was associated with faster multimorbidity accumulation, although only the cognitive phenotype retained its association in a mutually adjusted model (β per year: 0.07, 95%CI: 0.03-0.10). CONCLUSIONS late-life major and subsyndromal depression are associated with accelerated somatic multimorbidity. Depressive symptoms characterised by a cognitive phenotype are linked to somatic health change in old age.
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Affiliation(s)
- Federico Triolo
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Linnea Sjöberg
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Amaia Calderón-Larrañaga
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Martino Belvederi Murri
- Institute of Psychiatry, Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
| | - Davide Liborio Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Serhiy Dekhtyar
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Abram SV, Roach BJ, Hua JPY, Han LKM, Mathalon DH, Ford JM, Fryer SL. Advanced brain age correlates with greater rumination and less mindfulness in schizophrenia. Neuroimage Clin 2023; 37:103301. [PMID: 36586360 PMCID: PMC9830317 DOI: 10.1016/j.nicl.2022.103301] [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: 11/15/2022] [Revised: 12/05/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Individual variation in brain aging trajectories is linked with several physical and mental health outcomes. Greater stress levels, worry, and rumination correspond with advanced brain age, while other individual characteristics, like mindfulness, may be protective of brain health. Multiple lines of evidence point to advanced brain aging in schizophrenia (i.e., neural age estimate > chronological age). Whether psychological dimensions such as mindfulness, rumination, and perceived stress contribute to brain aging in schizophrenia is unknown. METHODS We estimated brain age from high-resolution anatomical scans in 54 healthy controls (HC) and 52 individuals with schizophrenia (SZ) and computed the brain predicted age difference (BrainAGE-diff), i.e., the delta between estimated brain age and chronological age. Emotional well-being summary scores were empirically derived to reflect individual differences in trait mindfulness, rumination, and perceived stress. Core analyses evaluated relationships between BrainAGE-diff and emotional well-being, testing for slopes differences across groups. RESULTS HC showed higher emotional well-being (greater mindfulness and less rumination/stress), relative to SZ. We observed a significant group difference in the relationship between BrainAge-diff and emotional well-being, explained by BrainAGE-diff negatively correlating with emotional well-being scores in SZ, and not in HC. That is, SZ with younger appearing brains (predicted age < chronological age) had emotional summary scores that were more like HC, a relationship that endured after accounting for several demographic and clinical variables. CONCLUSIONS These data reveal clinically relevant aspects of brain age heterogeneity among SZ and point to case-control differences in the relationship between advanced brain aging and emotional well-being.
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Affiliation(s)
- Samantha V Abram
- Sierra Pacific Mental Illness Research Education and Clinical Centers, San Francisco Veterans Affairs Medical Center, and the University of California, San Francisco, CA, United States; Mental Health Service, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, United States; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States
| | - Brian J Roach
- Mental Health Service, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, United States
| | - Jessica P Y Hua
- Sierra Pacific Mental Illness Research Education and Clinical Centers, San Francisco Veterans Affairs Medical Center, and the University of California, San Francisco, CA, United States; Mental Health Service, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, United States; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States
| | - Laura K M Han
- Orygen, Parkville, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Daniel H Mathalon
- Mental Health Service, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, United States; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States
| | - Judith M Ford
- Mental Health Service, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, United States; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States
| | - Susanna L Fryer
- Mental Health Service, Veterans Affairs San Francisco Healthcare System, San Francisco, CA, United States; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States.
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Frailty and Treatment-Resistant Schizophrenia: A Retrospective Cohort Study. Community Ment Health J 2023; 59:105-109. [PMID: 35788464 DOI: 10.1007/s10597-022-00998-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/11/2022] [Indexed: 01/07/2023]
Abstract
Frailty, a state of reduced physiological reserve, has not been studied in consumers with treatment-resistant schizophrenia, despite known elevated rates of comorbidity and psychosocial impairment. This study applies a frailty index to the electronic medical records of 78 adults with treatment-resistant schizophrenia, aged 18-64 years, to determine the prevalence and characteristics of frailty (defined as a frailty index score > 0.21). The mean frailty index score was 0.24 (SD = 0.091, range = 0.061-0.54), with 52.6% of the population categorised as frail (40.0% in those aged 18-39 years). Frailty was positively correlated with age and psychiatric illness severity. This study provides novel evidence that individuals with treatment-resistant schizophrenia have a high rate of frailty and become frail at a younger age. Routine frailty assessments could be used to trigger the delivery of appropriate interventions, which have the potential to improve life expectancy and quality of life.
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22
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Depression, aging, and immunity: implications for COVID-19 vaccine immunogenicity. Immun Ageing 2022; 19:32. [PMID: 35836263 PMCID: PMC9281075 DOI: 10.1186/s12979-022-00288-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/06/2022] [Indexed: 11/26/2022]
Abstract
The aging process can have detrimental effects on the immune system rendering the elderly more susceptible to infectious disease and less responsive to vaccination. Major depressive disorder (MDD) has been hypothesized to show characteristics of accelerated biological aging. This raises the possibility that depressed individuals will show some overlap with elderly populations with respect to their immune response to infection and vaccination. Here we provide an umbrella review of this literature in the context of the SARS CoV-2 pandemic. On balance, the available data do indeed suggest that depression is a risk factor for both adverse outcomes following COVID-19 infection and for reduced COVID-19 vaccine immunogenicity. We conclude that MDD (and other major psychiatric disorders) should be recognized as vulnerable populations that receive priority for vaccination along with other at-risk groups.
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Bobba-Alves N, Juster RP, Picard M. The energetic cost of allostasis and allostatic load. Psychoneuroendocrinology 2022; 146:105951. [PMID: 36302295 PMCID: PMC10082134 DOI: 10.1016/j.psyneuen.2022.105951] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 10/05/2022] [Accepted: 10/06/2022] [Indexed: 11/06/2022]
Abstract
Chronic psychosocial stress increases disease risk and mortality, but the underlying mechanisms remain largely unclear. Here we outline an energy-based model for the transduction of chronic stress into disease over time. The energetic model of allostatic load (EMAL) emphasizes the energetic cost of allostasis and allostatic load, where the "load" is the additional energetic burden required to support allostasis and stress-induced energy needs. Living organisms have a limited capacity to consume energy. Overconsumption of energy by allostatic brain-body processes leads to hypermetabolism, defined as excess energy expenditure above the organism's optimum. In turn, hypermetabolism accelerates physiological decline in cells, laboratory animals, and humans, and may drive biological aging. Therefore, we propose that the transition from adaptive allostasis to maladaptive allostatic states, allostatic load, and allostatic overload arises when the added energetic cost of stress competes with longevity-promoting growth, maintenance, and repair. Mechanistically, the energetic restriction of growth, maintenance and repair processes leads to the progressive wear-and-tear of molecular and organ systems. The proposed model makes testable predictions around the physiological, cellular, and sub-cellular energetic mechanisms that transduce chronic stress into disease risk and mortality. We also highlight new avenues to quantify allostatic load and its link to health across the lifespan, via the integration of systemic and cellular energy expenditure measurements together with classic allostatic load biomarkers.
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Affiliation(s)
- Natalia Bobba-Alves
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Robert-Paul Juster
- Center on Sex⁎Gender, Allostasis, and Resilience, Research Center of the Montreal Mental Health University Institute, Montreal, QC, Canada; Department of Psychiatry and Addiction, University of Montreal, Montreal, QC, Canada
| | - Martin Picard
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA; Department of Neurology, H. Houston Merritt Center and Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA.
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24
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Hautekiet P, Saenen ND, Martens DS, Debay M, Van der Heyden J, Nawrot TS, De Clercq EM. A healthy lifestyle is positively associated with mental health and well-being and core markers in ageing. BMC Med 2022; 20:328. [PMID: 36171556 PMCID: PMC9520873 DOI: 10.1186/s12916-022-02524-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 08/10/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Studies often evaluate mental health and well-being in association with individual health behaviours although evaluating multiple health behaviours that co-occur in real life may reveal important insights into the overall association. Also, the underlying pathways of how lifestyle might affect our health are still under debate. Here, we studied the mediation of different health behaviours or lifestyle factors on mental health and its effect on core markers of ageing: telomere length (TL) and mitochondrial DNA content (mtDNAc). METHODS In this study, 6054 adults from the 2018 Belgian Health Interview Survey (BHIS) were included. Mental health and well-being outcomes included psychological and severe psychological distress, vitality, life satisfaction, self-perceived health, depressive and generalised anxiety disorder and suicidal ideation. A lifestyle score integrating diet, physical activity, smoking status, alcohol consumption and BMI was created and validated. On a subset of 739 participants, leucocyte TL and mtDNAc were assessed using qPCR. Generalised linear mixed models were used while adjusting for a priori chosen covariates. RESULTS The average age (SD) of the study population was 49.9 (17.5) years, and 48.8% were men. A one-point increment in the lifestyle score was associated with lower odds (ranging from 0.56 to 0.74) for all studied mental health outcomes and with a 1.74% (95% CI: 0.11, 3.40%) longer TL and 4.07% (95% CI: 2.01, 6.17%) higher mtDNAc. Psychological distress and suicidal ideation were associated with a lower mtDNAc of - 4.62% (95% CI: - 8.85, - 0.20%) and - 7.83% (95% CI: - 14.77, - 0.34%), respectively. No associations were found between mental health and TL. CONCLUSIONS In this large-scale study, we showed the positive association between a healthy lifestyle and both biological ageing and different dimensions of mental health and well-being. We also indicated that living a healthy lifestyle contributes to more favourable biological ageing.
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Affiliation(s)
- Pauline Hautekiet
- Sciensano, Risk and Health Impact Assessment, Juliette Wytsmanstraat 14, 1050, Brussels, Belgium. .,Centre for Environmental Sciences, Hasselt University, 3500, Hasselt, Belgium.
| | - Nelly D Saenen
- Sciensano, Risk and Health Impact Assessment, Juliette Wytsmanstraat 14, 1050, Brussels, Belgium.,Centre for Environmental Sciences, Hasselt University, 3500, Hasselt, Belgium
| | - Dries S Martens
- Centre for Environmental Sciences, Hasselt University, 3500, Hasselt, Belgium
| | - Margot Debay
- Centre for Environmental Sciences, Hasselt University, 3500, Hasselt, Belgium
| | - Johan Van der Heyden
- Sciensano, Epidemiology and Public Health, Juliette Wytsmanstraat 14, 1050, Brussels, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, 3500, Hasselt, Belgium.,Centre for Environment and Health, Leuven University, 3000, Leuven, Belgium
| | - Eva M De Clercq
- Sciensano, Risk and Health Impact Assessment, Juliette Wytsmanstraat 14, 1050, Brussels, Belgium
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25
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Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adults. Aging (Albany NY) 2022; 14:7206-7222. [PMID: 36170009 PMCID: PMC9550255 DOI: 10.18632/aging.204264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 08/23/2022] [Indexed: 11/30/2022]
Abstract
We have developed a deep learning aging clock using blood test data from the China Health and Retirement Longitudinal Study, which has a mean absolute error of 5.68 years. We used the aging clock to demonstrate the connection between the physical and psychological aspects of aging. The clock detects accelerated aging in people with heart, liver, and lung conditions. We demonstrate that psychological factors, such as feeling unhappy or being lonely, add up to 1.65 years to one’s biological age, and the aggregate effect exceeds the effects of biological sex, living area, marital status, and smoking status. We conclude that the psychological component should not be ignored in aging studies due to its significant impact on biological age.
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26
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Ni X, Jiao J, Yang Z, Wang Z, Nan N, Gao D, Sun L, Zhu X, Zhou Q, Zhang N, Wu Z, Zhang S, Yuan H. The general law of plasma proteome alterations occurring in the lifetime of Chinese individuals reveals the importance of immunity. Aging (Albany NY) 2022; 14:7065-7092. [PMID: 36084955 PMCID: PMC9512505 DOI: 10.18632/aging.204278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 08/25/2022] [Indexed: 11/25/2022]
Abstract
Background: Aging is characterized by a continuous loss of protein homeostasis. A closer examination of peripheral blood, which houses proteins from nearly all tissues and cells, helped identify several biomarkers and other aspects of aging biology. To further explore the general law of aging and identify key time nodes and associated aging biology, we collected 97 plasma samples from 253 healthy individuals aged 0-100 years without adverse outcomes to conduct nano-Ultra High Performance Liquid Chromatography-Mass Spectrometry/Mass Spectrometry (nano-UHPLC-MS/MS) and weighted gene co-expression network analysis (WGCNA). Results: Through biological processes and key biological pathways identified in discrete age group modules, our analyses highlighted a strong correlation between alterations in the immune system and aging process. We also identified hub genes associated with distinct age groups that revealed alterations not only in protein expression but also in signaling cascade. Among them, hub genes from age groups of 0-20 years old and 71-100 years old are mostly involved in infectious diseases and the immune system. In addition, CDC5L and HMGB2 were the key transcription factors (TFs) regulating genes expression in people aged between 51-60 and 71-100 years of age. They were shown to not only be independent but also mutually regulate certain hub gene expressions. Conclusions: This study reveals that the plasma proteome undergoes a complex alteration over the lifetime of a human. In this process, the immune system is crucial throughout the lifespan of a human being. However, the underlying mechanism(s) regulating differential protein expressions at distinct ages remains to be elucidated.
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Affiliation(s)
- Xiaolin Ni
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology of National Health Commission, Beijing 100730, China.,University of Chinese Academy of Sciences, Beijing 100049, China.,State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Juan Jiao
- Department of Clinical Laboratory, The Seventh Medical Center, Chinese PLA General Hospital, Beijing 100700, China
| | - Ze Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology of National Health Commission, Beijing 100730, China
| | - Zhaoping Wang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology of National Health Commission, Beijing 100730, China
| | - Nan Nan
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Chaoyang, Beijing 100029, China
| | - Danni Gao
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology of National Health Commission, Beijing 100730, China
| | - Liang Sun
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology of National Health Commission, Beijing 100730, China
| | - Xiaoquan Zhu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology of National Health Commission, Beijing 100730, China
| | - Qi Zhou
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology of National Health Commission, Beijing 100730, China
| | - Nan Zhang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology of National Health Commission, Beijing 100730, China
| | - Zhu Wu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology of National Health Commission, Beijing 100730, China
| | - Shenqi Zhang
- Department of Joint and Sports Medicine, Zaozhuang Municipal Hospital Affiliated to Jining Medical University, Shandong 277100, China
| | - Huiping Yuan
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology of National Health Commission, Beijing 100730, China
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27
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Telomere length in individuals with and without major depression and adverse childhood experiences. Psychoneuroendocrinology 2022; 142:105762. [PMID: 35679773 DOI: 10.1016/j.psyneuen.2022.105762] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 03/08/2022] [Accepted: 04/05/2022] [Indexed: 01/21/2023]
Abstract
Major depressive disorder (MDD) and adverse childhood experiences (ACE) are associated with poor physical and mental health in adulthood. One underlying mechanism might be accelerated cellular aging. For example, both conditions, MDD and ACE, have been related to a biological marker of cellular aging, accelerated shortening of telomere length (TL). Since MDD and ACE are confounded in many studies, we aimed with the current study to further disentangle the effects of MDD and ACE on TL using a full-factorial design including four carefully diagnosed groups of healthy participants and MDD patients with and without ACE (total N = 90, all without use of antidepressants). As dependent variable, TL was assessed in leukocytes. We found no group differences based on MDD and ACE exposure in TL. While TL was negatively associated with age and male sex, TL was not associated with any measure of severity of MDD, ACE or current stress. One possible explanation for our null result may be the comparatively good physical health status of our sample. Future research is needed to elucidate the relation of TL, MDD and ACE, taking potential effect modification by medication intake and physical health status into account.
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28
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Damanti S, Cilla M, Cilona M, Fici A, Merolla A, Pacioni G, De Lorenzo R, Martinenghi S, Vitali G, Magnaghi C, Fumagalli A, Gennaro Mazza M, Benedetti F, Tresoldi M, Rovere Querini P. Prevalence of Long COVID-19 Symptoms After Hospital Discharge in Frail and Robust Patients. Front Med (Lausanne) 2022; 9:834887. [PMID: 35911387 PMCID: PMC9329529 DOI: 10.3389/fmed.2022.834887] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 06/10/2022] [Indexed: 12/12/2022] Open
Abstract
Background A motley postacute symptomatology may develop after COVID-19, irrespective of the acute disease severity, age, and comorbidities. Frail individuals have reduced physiological reserves and manifested a worse COVID-19 course, during the acute setting. However, it is still unknown, whether frailty may subtend some long COVID-19 manifestations. We explored the prevalence of long COVID-19 disturbs in COVID-19 survivals. Methods This was an observational study. Patients aged 65 years or older were followed-up 1, 3, and 6 months after hospitalization for COVID-19 pneumonia. Results A total of 382 patients were enrolled. Frail patients were more malnourished (median Mini Nutritional Assessment Short Form score 8 vs. 9, p = 0.001), at higher risk of sarcopenia [median Strength, Assistance with walking, Rising from a chair, Climbing stairs, and Falls (SARC-F) score 3 vs. 1.5, p = 0.003], and manifested a worse physical performance [median Short Physical Performance Battery (SPPB) score 10 vs. 11, p = 0.0007] than robust individuals, after hospital discharge following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia. Frailty was significantly associated with: (i) confusion, as a presenting symptom of COVID-19 [odds ratio (OR) 77.84, 95% CI 4.23–1432.49, p = 0.003]; (ii) malnutrition (MNA-SF: adjusted B –5.63, 95% CI –8.39 to –2.87, p < 0.001), risk of sarcopenia (SARC-F: adjusted B 9.11, 95% CI 3.10–15.13, p = 0.003), impaired muscle performance (SPPB: B –3.47, 95% CI –6.33 to –0.61, p = 0.02), complaints in mobility (adjusted OR 1674200.27, 95% CI 4.52–619924741831.25, p = 0.03), in self-care (adjusted OR 553305.56, 95% CI 376.37–813413358.35, p < 0.001), and in performing usual activities of daily living (OR 71.57, 95% CI 2.87–1782.53, p = 0.009) at 1-month follow-up; (iii) dyspnea [modified Medical Research Council (mMRC): B 4.83, 95% CI 1.32–8.33, p = 0.007] and risk of sarcopenia (SARC-F: B 7.12, 95% CI 2.17–12.07, p = 0.005) at 3-month follow-up; and (iv) difficulties in self-care (OR 2746.89, 95% CI 6.44–1172310.83, p = 0.01) at the 6-month follow-up. In a subgroup of patients (78 individuals), the prevalence of frailty increased at the 1-month follow-up compared to baseline (p = 0.009). Conclusion The precocious identification of frail COVID-19 survivors, who manifest more motor and respiratory complaints during the follow-up, could improve the long-term management of these COVID-19 sequelae.
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Affiliation(s)
- Sarah Damanti
- Unit of General Medicine and Advanced Care, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Institute, Milan, Italy
- *Correspondence: Sarah Damanti,
| | - Marta Cilla
- Unit of General Medicine and Advanced Care, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Institute, Milan, Italy
| | - Maria Cilona
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy
| | - Aldo Fici
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy
| | - Aurora Merolla
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy
| | - Giacomo Pacioni
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy
| | - Rebecca De Lorenzo
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy
| | - Sabina Martinenghi
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Giordano Vitali
- San Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Cristiano Magnaghi
- Department of Immunology, Transplantation and Infectious Diseases, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Anna Fumagalli
- COVID Trial Unit, Department of Internal Medicine, IRCCS San Raffaele Institute, Milan, Italy
| | - Mario Gennaro Mazza
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Francesco Benedetti
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy
- Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Moreno Tresoldi
- Unit of General Medicine and Advanced Care, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Institute, Milan, Italy
| | - Patrizia Rovere Querini
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy
- Department of Immunology, Transplantation and Infectious Diseases, IRCCS Ospedale San Raffaele, Milan, Italy
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29
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Higher hair cortisol concentrations associated with shorter leukocyte telomere length in high-risk young adults. Sci Rep 2022; 12:11730. [PMID: 35821228 PMCID: PMC9276815 DOI: 10.1038/s41598-022-14905-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 06/14/2022] [Indexed: 01/01/2023] Open
Abstract
Chronic stress is associated with accelerated biological aging as indexed by short age-adjusted leukocyte telomere length (LTL). Exploring links of biological stress responses with LTL has proved challenging due to the lack of biological measures of chronic psychological stress. Hair cortisol concentration (HCC) has emerged as a measure of chronic hypothalamic pituitary adrenal (HPA) axis activation, allowing the examination of relationships between aggregate cortisol concentrations over time and LTL. Our sample includes 92 participants (38% women, Mage = 26 ± 3.7 years) from a high-risk sample of young adults with previous residential care placements. Two cm hair was collected for HCC, reflecting approximately eight weeks of cortisol secretion. LTL was measured with quantitative polymerase chain reaction (qPCR) in whole blood samples. All samples for LTL were run in triplicate and assayed twice. Linear and polynomial regression models were used to describe the association between HCC and LTL, adjusting for age and sex. HCC and LTL showed negative associations (std. ß = − 0.67, 95% CI [− 0.83, − 0.52], p < .001) in age- and sex-adjusted analyses, indicating that higher HCCs are associated with shorter LTL. Using polynomial regression, we found a curvilinear relationship indicating a stronger negative association at lower cortisol concentrations. Higher HCCs were associated with shorter LTL, supporting the hypothesized involvement of prolonged cortisol secretion in telomere attrition. Thus, HCC may prove useful as a biological indicator of chronic stress associated with aging-related processes in samples exposed to high levels of stress.
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30
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Jang KI, Kim S, Lee C, Chae JH. Association between the loudness dependence of auditory evoked potentials and age in patients with schizophrenia and depression. J Int Med Res 2022; 50:3000605221109789. [PMID: 35808808 PMCID: PMC9274422 DOI: 10.1177/03000605221109789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Objective Although serotonergic dysfunction is significantly associated with major
depressive disorder (MDD) and schizophrenia (SCZ), comparison of
serotonergic dysfunction in both diseases has received little attention.
Serotonin hypotheses have suggested diminished and elevated serotonin
activity in MDD and SCZ, respectively. However, the foundations underlying
these hypotheses are unclear regarding changes in serotonin
neurotransmission in the aging brain. The loudness dependence of auditory
evoked potentials (LDAEP) reflects serotonin neurotransmission. The present
study compared the LDAEP between patients with SCZ or MDD and healthy
controls (HCs). We further examined whether age was correlated with the
LDAEP and clinical symptoms. Methods This prospective clinical study included 105 patients with SCZ (n = 54) or
MDD (n = 51). Additionally, 35 HCs were recruited for this study. The LDAEP
was measured on the midline channels via 62 electroencephalography
channels. Results Patients with SCZ or MDD showed a significantly smaller mean LDAEP than those
in HCs. The LDAEP was positively correlated with age in patients with SCZ or
MDD. Conclusions Changes in central serotonergic activity could be indicated by evaluating the
LDAEP in patients with SCZ or MDD. Age-related reductions in serotonergic
activity may be screened using the LDAEP in patients with SCZ or MDD.
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Affiliation(s)
- Kuk-In Jang
- Cognitive Science Research Group, Korea Brain Research Institute (KBRI), Daegu, Republic of Korea
| | - Sungkean Kim
- Department of Human-Computer Interaction, Hanyang University, Ansan, Republic of Korea
| | - Chany Lee
- Cognitive Science Research Group, Korea Brain Research Institute (KBRI), Daegu, Republic of Korea
| | - Jeong-Ho Chae
- Department of Psychiatry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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31
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Pearson E, Siskind D, Hubbard RE, Gordon EH, Coulson EJ, Warren N. Frailty and severe mental illness: A systematic review and narrative synthesis. J Psychiatr Res 2022; 147:166-175. [PMID: 35051715 DOI: 10.1016/j.jpsychires.2022.01.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/02/2022] [Accepted: 01/06/2022] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Emerging evidence suggests that people with severe mental illness (SMI) have an increased risk of frailty. We conducted a systematic review to investigate the prevalence and correlates of frailty, as well as the efficacy of frailty interventions, in this population. METHODS We searched databases from inception to 21 September 2021 for studies that assessed or intervened for frailty in relation to an SMI diagnosis. A narrative synthesis explored the characteristics and adverse health outcomes associated with frailty and the efficacy of interventions. The prevalence of frailty was investigated, and its relationship with age was analysed by a meta-regression. RESULTS Twenty-five studies involving 2499 patients, primarily older adults, were included in the narrative synthesis. Frailty was associated with higher rates of physical comorbidity, cognitive deficits, falls and mortality among those with SMI. The efficacy of a yoga intervention was investigated in one study, without sustained reductions in frailty. The prevalence of frailty varied between 10.2 and 89.7% and was high in comparison to the general population. CONCLUSIONS The prevalence of frailty was high in those with SMI and ranged widely due to heterogeneity of study populations. Assessing frailty enables the identification of patients who could benefit from interventions and assists in treatment-related decision making. Further research is required to develop appropriate frailty interventions for this population.
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Affiliation(s)
- Ella Pearson
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia.
| | - Dan Siskind
- Metro South Addiction and Mental Health Services, Brisbane, Queensland, Australia; School of Clinical Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Ruth E Hubbard
- Centre for Health Services Research, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia; Department of Geriatrics, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Emily H Gordon
- Centre for Health Services Research, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia; Department of Geriatrics, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Elizabeth J Coulson
- School of Biomedical Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Nicola Warren
- Metro South Addiction and Mental Health Services, Brisbane, Queensland, Australia; School of Clinical Medicine, University of Queensland, Brisbane, Queensland, Australia
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32
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Lindqvist D. The Complex Relationship Between Early-Life Stress and Cellular Aging. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2022; 2:5-7. [PMID: 36324600 PMCID: PMC9616349 DOI: 10.1016/j.bpsgos.2021.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 11/13/2021] [Indexed: 11/08/2022] Open
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Gaetani S, Galzignati L, Marcati M, Durazzi P, Cianella A, Mocheggiani V, Monaco F, Bracci M, Neuzil J, Tomasetti M, Amati M, Santarelli L. Mitochondrial Function as Related to Psychological Distress in Health Care Professionals. Psychosom Med 2022; 84:40-49. [PMID: 34419997 DOI: 10.1097/psy.0000000000001000] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The present study evaluated the association of psychological distress and radiation exposure as a work-related stressor with mitochondrial function in health care professionals. METHODS Health care professionals at a regional hospital in Italy were evaluated for physical health and psychological measures using self-report questionnaires (n = 41; mean age = 47.6 [13.1] years; 66% women). In a second sample, individuals exposed to elevated levels of ionizing radiation (IR; likely effective dose exceeding 6 mSv/y; n = 63, mean age = 45.8 [8.8] years; 62% women) were compared with health care workers with low IR (n = 57; mean age = 47.2 [9.5] years; 65% women) because exposure to a toxic agent might act as a (work-related) stressor. Associations were examined between psychological factors (12-item General Health Questionnaire, Perceived Stress Scale), work ability (Work Ability Index), and IR exposure at the workplace with markers of mitochondrial function, including mitochondrial redox activity, mitochondrial membrane potential, mitochondrial DNA (mtDNA) copy number, biogenesis, and mtDNA damage response measured from peripheral blood mononuclear cells. RESULTS All participants were in good physical health. Individuals reporting high levels of psychological distress showed lower mitochondrial biogenesis as indicated by peroxisome proliferator-activated receptor-γ coactivator 1-α and lower nuclear factor erythroid 2-related factor 2 (NRF2) expression (2.5 [1.0] versus 1.0 [0.9] relative expression [rel exp], p = .035, and 31.5 [5.0] versus 19.4 [6.9] rel exp, p = .013, respectively). However, exposure to toxic agents (IR) was primarily associated with mitochondrial metabolism and reduced mtDNA integrity. Participants with IR exposure displayed higher mitochondrial redox activity (4480 [1202] mean fluorescence intensity [MFI]/min versus 3376 [983] MFI/min, p < .001) and lower mitochondrial membrane potential (0.89 [0.09] MFI versus 0.95 [0.11] MFI, p = .001), and reduced mtDNA integrity (1.18 [0.21] rel exp versus 3.48 [1.57] rel exp, p < .001) compared with nonexposed individuals. CONCLUSIONS This study supports the notion that psychological distress and potential stressors related to toxic agents might influence various aspects of mitochondrial biology, and that chronic stress exposure can lead to molecular and functional recalibrations among mitochondria.
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Affiliation(s)
- Simona Gaetani
- From the Department of Clinical and Molecular Sciences, Section of Occupational Medicine (Gaetani, Galzignati, Marcati, Durazzi, Cianella, Mocheggiani, Monaco, Bracci, Tomasetti, Amati, Santarelli), Polytechnic University of Marche, Ancona, Italy; School of Medical Science (Neuzil), Griffith University, Southport, Australia; and Institute of Biotechnology (Neuzil), Czech Academy of Sciences, Prague, Czech Republic
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Durand M, Nagot N, Michel L, Le SM, Duong HT, Vallo R, Vizeneux A, Rapoud D, Giang HT, Quillet C, Thanh NTT, Hai Oanh KT, Vinh VH, Feelemyer J, Vande Perre P, Minh KP, Laureillard D, Des Jarlais D, Molès JP. Mental Disorders Are Associated With Leukocytes Telomere Shortening Among People Who Inject Drugs. Front Psychiatry 2022; 13:846844. [PMID: 35782414 PMCID: PMC9247253 DOI: 10.3389/fpsyt.2022.846844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 05/12/2022] [Indexed: 11/13/2022] Open
Abstract
Premature biological aging, assessed by shorter telomere length (TL) and mitochondrial DNA (mtDNA) alterations, has been reported among people with major depressive disorders or psychotic disorders. However, these markers have never been assessed together among people who inject drugs (PWIDs), although mental disorders are highly prevalent in this population, which, in addition, is subject to other aggravating exposures. Diagnosis of mental disorders was performed by a psychiatrist using the Mini International Neuropsychiatric Interview test among active PWIDs in Haiphong, Vietnam. mtDNA copy number (MCN), mtDNA deletion, and TL were assessed by quantitative PCR and compared to those without any mental disorder. We next performed a multivariate analysis to identify risk factors associated with being diagnosed with a major depressive episode (MDE) or a psychotic syndrome (PS). In total, 130 and 136 PWIDs with and without psychiatric conditions were analyzed. Among PWIDs with mental disorders, 110 and 74 were diagnosed with MDE and PS, respectively. TL attrition was significantly associated with hepatitis C virus-infected PWIDs with MDE or PS (adjusted odds ratio [OR]: 0.53 [0.36; 0.80] and 0.59 [0.39; 0.88], respectively). TL attrition was even stronger when PWIDs cumulated at least two episodes of major depressive disorders. On the other hand, no difference was observed in mtDNA alterations between groups. The telomeric age difference with drug users without a diagnosis of psychiatric condition was estimated during 4.2-12.8 years according to the number of MDEs, making this group more prone to age-related diseases.
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Affiliation(s)
- Mélusine Durand
- Pathogenesis and Control of Chronic and Emerging Infections, University of Montpellier, INSERM, EFS, University of Antilles, Montpellier, France
| | - Nicolas Nagot
- Pathogenesis and Control of Chronic and Emerging Infections, University of Montpellier, INSERM, EFS, University of Antilles, Montpellier, France
| | - Laurent Michel
- Pierre Nicole Center, CESP UMR 1018, Paris-Saclay University, Paris, France
| | - Sao Mai Le
- Faculty of Public Health, Hai Phong University of Medicine and Pharmacy, Hai Phong, Vietnam
| | - Huong Thi Duong
- Faculty of Public Health, Hai Phong University of Medicine and Pharmacy, Hai Phong, Vietnam
| | - Roselyne Vallo
- Pathogenesis and Control of Chronic and Emerging Infections, University of Montpellier, INSERM, EFS, University of Antilles, Montpellier, France
| | - Amélie Vizeneux
- Pathogenesis and Control of Chronic and Emerging Infections, University of Montpellier, INSERM, EFS, University of Antilles, Montpellier, France
| | - Delphine Rapoud
- Pathogenesis and Control of Chronic and Emerging Infections, University of Montpellier, INSERM, EFS, University of Antilles, Montpellier, France
| | - Hoang Thi Giang
- Faculty of Public Health, Hai Phong University of Medicine and Pharmacy, Hai Phong, Vietnam
| | - Catherine Quillet
- Pathogenesis and Control of Chronic and Emerging Infections, University of Montpellier, INSERM, EFS, University of Antilles, Montpellier, France
| | | | | | - Vu Hai Vinh
- Infectious and Tropical Diseases Department, Viet Tiep Hospital, Hai Phong, Vietnam
| | - Jonathan Feelemyer
- School of Global Public Health, New York University, New York, NY, United States
| | - Philippe Vande Perre
- Pathogenesis and Control of Chronic and Emerging Infections, University of Montpellier, INSERM, EFS, University of Antilles, Montpellier, France
| | - Khue Pham Minh
- Faculty of Public Health, Hai Phong University of Medicine and Pharmacy, Hai Phong, Vietnam
| | - Didier Laureillard
- Pathogenesis and Control of Chronic and Emerging Infections, University of Montpellier, INSERM, EFS, University of Antilles, Montpellier, France.,Infectious and Tropical Diseases Department, Caremeau University Hospital, Nîmes, France
| | - Don Des Jarlais
- School of Global Public Health, New York University, New York, NY, United States
| | - Jean-Pierre Molès
- Pathogenesis and Control of Chronic and Emerging Infections, University of Montpellier, INSERM, EFS, University of Antilles, Montpellier, France
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Pérez-Aldana BE, Martínez-Magaña JJ, Mayén-Lobo YG, Dávila-Ortiz de Montellano DJ, Aviña-Cervantes CL, Ortega-Vázquez A, Genis-Mendoza AD, Sarmiento E, Soto-Reyes E, Juárez-Rojop IE, Tovilla-Zarate CA, González-Castro TB, Nicolini H, López-López M, Monroy-Jaramillo N. Clozapine Long-Term Treatment Might Reduce Epigenetic Age Through Hypomethylation of Longevity Regulatory Pathways Genes. Front Psychiatry 2022; 13:870656. [PMID: 35664466 PMCID: PMC9157596 DOI: 10.3389/fpsyt.2022.870656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 03/29/2022] [Indexed: 11/13/2022] Open
Abstract
Long-term studies have shown significantly lower mortality rates in patients with continuous clozapine (CLZ) treatment than other antipsychotics. We aimed to evaluate epigenetic age and DNA methylome differences between CLZ-treated patients and those without psychopharmacological treatment. The DNA methylome was analyzed using the Infinium MethylationEPIC BeadChip in 31 CLZ-treated patients with psychotic disorders and 56 patients with psychiatric disorders naive to psychopharmacological treatment. Delta age (Δage) was calculated as the difference between predicted epigenetic age and chronological age. CLZ-treated patients were stratified by sex, age, and years of treatment. Differential methylation sites between both groups were determined using linear regression models. The Δage in CLZ-treated patients was on average lower compared with drug-naive patients for the three clocks analyzed; however, after data-stratification, this difference remained only in male patients. Additional differences were observed in Hannum and Horvath clocks when comparing chronological age and years of CLZ treatment. We identified 44,716 differentially methylated sites, of which 87.7% were hypomethylated in CLZ-treated patients, and enriched in the longevity pathway genes. Moreover, by protein-protein interaction, AMPK and insulin signaling pathways were found enriched. CLZ could promote a lower Δage in individuals with long-term treatment and modify the DNA methylome of the longevity-regulating pathways genes.
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Affiliation(s)
| | - José Jaime Martínez-Magaña
- Laboratorio de Genómica de Enfermedades Psiquiátricas y Neurodegenerativas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Yerye Gibrán Mayén-Lobo
- Departamento de Sistemas Biológicos, Universidad Autónoma Metropolitana, Mexico City, Mexico
| | | | - Carlos Luis Aviña-Cervantes
- Departamento de Psiquiatría, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
| | - Alberto Ortega-Vázquez
- Departamento de Sistemas Biológicos, Universidad Autónoma Metropolitana, Mexico City, Mexico
| | - Alma Delia Genis-Mendoza
- Laboratorio de Genómica de Enfermedades Psiquiátricas y Neurodegenerativas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Emmanuel Sarmiento
- Dirección General, Hospital Psiquiátrico Infantil Juan N Navarro, Mexico City, Mexico
| | - Ernesto Soto-Reyes
- Departamento de Ciencias Naturales, Universidad Autónoma Metropolitana, Unidad Cuajimalpa, Mexico City, Mexico
| | - Isela Esther Juárez-Rojop
- División Académica de Ciencias de la Salud, Universidad Juárez Autónoma de Tabasco, Villahermosa, Mexico
| | | | - Thelma Beatriz González-Castro
- División Académica Multidisciplinaria de Jalpa de Méndez, Universidad Juárez Autónoma de Tabasco, Jalpa de Méndez, Mexico
| | - Humberto Nicolini
- Laboratorio de Genómica de Enfermedades Psiquiátricas y Neurodegenerativas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.,Grupo de Estudios Médicos y Familiares Carracci, Mexico City, Mexico
| | - Marisol López-López
- Departamento de Sistemas Biológicos, Universidad Autónoma Metropolitana, Mexico City, Mexico
| | - Nancy Monroy-Jaramillo
- Departamento de Genética, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
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García-Cordero J, Pino A, Cuevas C, Puertas-Martín V, San Román R, de Pascual-Teresa S. Neurocognitive Effects of Cocoa and Red-Berries Consumption in Healthy Adults. Nutrients 2021; 14:1. [PMID: 35010877 PMCID: PMC8746322 DOI: 10.3390/nu14010001] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/13/2021] [Accepted: 12/18/2021] [Indexed: 01/04/2023] Open
Abstract
In recent decades, the elderly population has increased at higher rates than any other population group, resulting in an increase in age-related diseases such as neurodegenerative and cognitive impairment. To address this global health problem, it is necessary to search for new dietary strategies that can prevent the main neurocognitive problems associated with the ageing process. Therefore, the aim of the present study was to analyze the effect of cocoa flavanols and red berry anthocyanins on brain-derived neurotrophic factor (BDNF) and nerve growth factor receptor (NGF-R) and to stablish the possible improvement in cognitive performance by using a battery of neurocognitive tests that included the Verbal Learning Test Spain-Complutense, the Spatial Recall Test 10/36 BRB-N, the Wechsler Adult Intelligence Scale III and IV, the STROOP Task and the Tower of London Test. A randomized, double-blind, parallel-group study was performed in 60 healthy volunteers between 50 and 75 years old who consumed a cocoa powder, a red berries mixture or a combination of both for 12 weeks. After the intervention, we observed a reduction in the time needed to start (p = 0.031) and finish (p = 0.018) the neurocognitive test known as the Tower of London in all groups, but the decrease in time to finish the task was more pronounced in the intervention with the combination of cocoa-red berries group. We failed to show any significant difference in BDNF and NGF-R sera levels. However we found a negative correlation between BDNF and the number of movements required to finish the TOL in women (p = 0.044). In conclusion, our study showed an improvement in executive function, without any change in neurotrofin levels, for all intervention arms.
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Affiliation(s)
- Joaquín García-Cordero
- Departamento de Metabolismo y Nutrición, Instituto de Ciencia y Tecnología de Alimentos y Nutrición (ICTAN-CSIC), C/José Antonio Novais, 10, 28040 Madrid, Spain; (J.G.-C.); (A.P.)
| | - Alicia Pino
- Departamento de Metabolismo y Nutrición, Instituto de Ciencia y Tecnología de Alimentos y Nutrición (ICTAN-CSIC), C/José Antonio Novais, 10, 28040 Madrid, Spain; (J.G.-C.); (A.P.)
| | - Constanza Cuevas
- Hospital 12 de Octubre, 28041 Madrid, Spain; (C.C.); (V.P.-M.); (R.S.R.)
| | - Verónica Puertas-Martín
- Hospital 12 de Octubre, 28041 Madrid, Spain; (C.C.); (V.P.-M.); (R.S.R.)
- Facultad de Educación, Universidad Internacional de la Rioja, 26006 Logrono, Spain
| | - Ricardo San Román
- Hospital 12 de Octubre, 28041 Madrid, Spain; (C.C.); (V.P.-M.); (R.S.R.)
| | - Sonia de Pascual-Teresa
- Departamento de Metabolismo y Nutrición, Instituto de Ciencia y Tecnología de Alimentos y Nutrición (ICTAN-CSIC), C/José Antonio Novais, 10, 28040 Madrid, Spain; (J.G.-C.); (A.P.)
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Oude Voshaar RC, Dimitriadis M, vandenBrink RHS, Aprahamian I, Borges MK, Marijnissen RM, Hoogendijk EO, Rhebergen D, Jeuring HW. A 6-year prospective clinical cohort study on the bidirectional association between frailty and depressive disorder. Int J Geriatr Psychiatry 2021; 36:1699-1707. [PMID: 34130356 PMCID: PMC8596411 DOI: 10.1002/gps.5588] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 06/12/2021] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Depressive disorder has been conceptualised as a condition of accelerated biological ageing. We operationalised a frailty index (FI) as marker for biological ageing aimed to explore the bidirectional, longitudinal association between frailty and either depressive symptoms or depressive disorder. METHODS A cohort study with 6-year follow-up including 377 older (≥60 years) outpatients with a DSM-IV-defined depressive disorder and 132 never-depressed controls. Site visits at baseline, 2 and 6-year follow-up were conducted and included the CIDI 2.0 to assess depressive disorder and relevant covariates. Depressive symptom severity and mortality were assessed every 6 months by mail and telephone. A 41-item FI was operationalised and validated against the 6-year morality rate by Cox regression (HRFI = 1.04 [95% CI: 1.02-1.06]). RESULTS Cox regression showed that a higher FI was associated with a lower chance of remission among depressed patients (HRFI = 0.98 [95% CI: 0.97-0.99]). Nonetheless, this latter effect disappeared after adjustment for baseline depressive symptom severity. Linear mixed models showed that the FI increased over time in the whole sample (B[SE] = 0.94 (0.12), p < .001) with a differential impact of depressive symptom severity and depressive disorder. Higher baseline depressive symptom severity was associated with an attenuated and depressive disorder with an accelerated increase of the FI over time. CONCLUSIONS The sum score of depression rating scales is likely confounded by frailty. Depressive disorder, according to DSM-IV criteria, is associated with accelerated biological ageing. This argues for the development of multidisciplinary geriatric care models incorporating frailty to improve the overall outcome of late-life depression.
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Affiliation(s)
- Richard C. Oude Voshaar
- Department of PsychiatryUniversity of GroningenUniversity Medical Center GroningenGroningenThe Netherlands
| | - Menelaos Dimitriadis
- Department of PsychiatryUniversity of GroningenUniversity Medical Center GroningenGroningenThe Netherlands
| | - Rob H. S. vandenBrink
- Department of PsychiatryUniversity of GroningenUniversity Medical Center GroningenGroningenThe Netherlands
| | - Ivan Aprahamian
- Department of Internal MedicineGeriatrics DivisionFaculty of Medicine of JundiaíJundiaíBrazil
| | - Marcus K. Borges
- Department and Institute of PsychiatrySão PauloUniversity of São PauloBrazil
| | - Radboud M. Marijnissen
- Department of PsychiatryUniversity of GroningenUniversity Medical Center GroningenGroningenThe Netherlands
| | - Emiel O. Hoogendijk
- Department of Epidemiology and BiostatisticsAmsterdam UMC – Location VU University Medical CenterAmsterdamThe Netherlands
| | - Didi Rhebergen
- Department of PsychiatryNetherlands & GGZ Ingeest Specialized Mental Health CareAmsterdam UMC – Location VU University Medical CenterAmsterdamThe Netherlands
| | - Hans W. Jeuring
- Department of PsychiatryUniversity of GroningenUniversity Medical Center GroningenGroningenThe Netherlands
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38
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Han LKM, Dinga R, Hahn T, Ching CRK, Eyler LT, Aftanas L, Aghajani M, Aleman A, Baune BT, Berger K, Brak I, Filho GB, Carballedo A, Connolly CG, Couvy-Duchesne B, Cullen KR, Dannlowski U, Davey CG, Dima D, Duran FLS, Enneking V, Filimonova E, Frenzel S, Frodl T, Fu CHY, Godlewska BR, Gotlib IH, Grabe HJ, Groenewold NA, Grotegerd D, Gruber O, Hall GB, Harrison BJ, Hatton SN, Hermesdorf M, Hickie IB, Ho TC, Hosten N, Jansen A, Kähler C, Kircher T, Klimes-Dougan B, Krämer B, Krug A, Lagopoulos J, Leenings R, MacMaster FP, MacQueen G, McIntosh A, McLellan Q, McMahon KL, Medland SE, Mueller BA, Mwangi B, Osipov E, Portella MJ, Pozzi E, Reneman L, Repple J, Rosa PGP, Sacchet MD, Sämann PG, Schnell K, Schrantee A, Simulionyte E, Soares JC, Sommer J, Stein DJ, Steinsträter O, Strike LT, Thomopoulos SI, van Tol MJ, Veer IM, Vermeiren RRJM, Walter H, van der Wee NJA, van der Werff SJA, Whalley H, Winter NR, Wittfeld K, Wright MJ, Wu MJ, Völzke H, Yang TT, Zannias V, de Zubicaray GI, Zunta-Soares GB, Abé C, Alda M, Andreassen OA, Bøen E, Bonnin CM, Canales-Rodriguez EJ, Cannon D, Caseras X, Chaim-Avancini TM, Elvsåshagen T, Favre P, Foley SF, Fullerton JM, Goikolea JM, Haarman BCM, Hajek T, Henry C, Houenou J, Howells FM, Ingvar M, Kuplicki R, Lafer B, Landén M, Machado-Vieira R, Malt UF, McDonald C, Mitchell PB, Nabulsi L, Otaduy MCG, Overs BJ, Polosan M, Pomarol-Clotet E, Radua J, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Savitz J, Schene AH, Schofield PR, Serpa MH, Sim K, Soeiro-de-Souza MG, Sutherland AN, Temmingh HS, Timmons GM, Uhlmann A, Vieta E, Wolf DH, Zanetti MV, Jahanshad N, Thompson PM, Veltman DJ, Penninx BWJH, Marquand AF, Cole JH, Schmaal L. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Mol Psychiatry 2021; 26:5124-5139. [PMID: 32424236 PMCID: PMC8589647 DOI: 10.1038/s41380-020-0754-0] [Citation(s) in RCA: 97] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 04/01/2020] [Accepted: 04/23/2020] [Indexed: 01/15/2023]
Abstract
Major depressive disorder (MDD) is associated with an increased risk of brain atrophy, aging-related diseases, and mortality. We examined potential advanced brain aging in adult MDD patients, and whether this process is associated with clinical characteristics in a large multicenter international dataset. We performed a mega-analysis by pooling brain measures derived from T1-weighted MRI scans from 19 samples worldwide. Healthy brain aging was estimated by predicting chronological age (18-75 years) from 7 subcortical volumes, 34 cortical thickness and 34 surface area, lateral ventricles and total intracranial volume measures separately in 952 male and 1236 female controls from the ENIGMA MDD working group. The learned model coefficients were applied to 927 male controls and 986 depressed males, and 1199 female controls and 1689 depressed females to obtain independent unbiased brain-based age predictions. The difference between predicted "brain age" and chronological age was calculated to indicate brain-predicted age difference (brain-PAD). On average, MDD patients showed a higher brain-PAD of +1.08 (SE 0.22) years (Cohen's d = 0.14, 95% CI: 0.08-0.20) compared with controls. However, this difference did not seem to be driven by specific clinical characteristics (recurrent status, remission status, antidepressant medication use, age of onset, or symptom severity). This highly powered collaborative effort showed subtle patterns of age-related structural brain abnormalities in MDD. Substantial within-group variance and overlap between groups were observed. Longitudinal studies of MDD and somatic health outcomes are needed to further assess the clinical value of these brain-PAD estimates.
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Grants
- RF1 AG041915 NIA NIH HHS
- G0802594 Medical Research Council
- R01 MH083968 NIMH NIH HHS
- MR/L010305/1 Medical Research Council
- R01 MH116147 NIMH NIH HHS
- T32 AG058507 NIA NIH HHS
- R01 HD050735 NICHD NIH HHS
- R21 MH113871 NIMH NIH HHS
- T35 AG026757 NIA NIH HHS
- R56 AG058854 NIA NIH HHS
- K23 MH090421 NIMH NIH HHS
- Wellcome Trust
- R61 AT009864 NCCIH NIH HHS
- P41 EB015922 NIBIB NIH HHS
- P20 GM121312 NIGMS NIH HHS
- R37 MH101495 NIMH NIH HHS
- P41 RR008079 NCRR NIH HHS
- T32 MH073526 NIMH NIH HHS
- 104036/Z/14/Z Wellcome Trust
- UL1 TR001872 NCATS NIH HHS
- Department of Health
- U54 EB020403 NIBIB NIH HHS
- R01 MH117601 NIMH NIH HHS
- MR/R024790/2 Medical Research Council
- K01 MH117442 NIMH NIH HHS
- R01 MH085734 NIMH NIH HHS
- R21 AT009173 NCCIH NIH HHS
- RF1 AG051710 NIA NIH HHS
- R01 AG059874 NIA NIH HHS
- CC was supported by NIH grants U54 EB020403, RF1 AG041915, RF1AG051710, P41EB015922, R01MH116147, and R56AG058854
- Russian Science Foundation (RSF)
- The study was supported by a grant from the German Federal Ministry of Education and Research (BMBF; grant FKZ-01ER0816 and FKZ-01ER1506)
- Dr. Busatto was supported by the funding agencies FAPESP and CNPq, Brazil
- Department of Health | National Health and Medical Research Council (NHMRC)
- Deutsche Forschungsgemeinschaft (German Research Foundation)
- This study was funded by National Health and Medical Research Council of Australia (NHMRC) Project Grants 1064643 (Principal Investigator BJH) and 1024570 (Principal Investigator CGD).
- Science Foundation Ireland (SFI)
- This work was supported by NIH grant R37 MH101495
- The Study of Health in Pomerania (SHIP) is part of the Community Medicine Research net (CMR) (http://www.medizin.uni-greifswald.de/icm) of the University Medicine Greifswald, which is supported by the German Federal State of Mecklenburg- West Pomerania. MRI scans in SHIP and SHIP-TREND have been supported by a joint grant from Siemens Healthineers, Erlangen, Germany and the Federal State of Mecklenburg-West Pomerania. This study was further supported by the EU-JPND Funding for BRIDGET (FKZ:01ED1615).
- Gratama Foundation, the Netherlands (2012/35 to NG)
- This work was partially supported by the Deutsche Forschungsgemeinschaft (DFG) via grants to OG (GR1950/5-1 and GR1950/10-1).
- This study was supported by the following National Health and Medical Research Council funding sources: Programme Grant (no. 566529), Centres of Clinical Research Excellence Grant (no. 264611), Australia Fellowship (no. 511921) and Clinical Research Fellowship (no. 402864).
- This study was funded by the National Institute of Mental health grant K23MH090421 (D. Cullen) and Biotechnology Research Center grant P41RR008079 (Center for Magnetic Resonance Research), the National Alliance for Research on Schizophrenia and Depression, the University of Minnesota Graduate School, and the Minnesota Medical Foundation. This work was carried out in part using computing resources at the University of Minnesota Supercomputing Institute.
- This work was funded by the German Research Foundation (DFG, grant FOR2107 KR 3822/7-2 to AK; FOR2107 KI 588/14-2 to TK and FOR2107 JA 1890/7-2 to AJ)
- The research leading to these results was supported by IMAGEMEND, which received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 602450. This paper reflects only the author’s views and the European Union is not liable for any use that may be made of the information contained therein. This work was also supported by a Wellcome Trust Strategic Award 104036/Z/14/Z
- The QTIM dataset was supported by the Australian National Health and Medical Research Council (Project Grants No. 496682 and 1009064) and US National Institute of Child Health and Human Development(RO1HD050735)
- MJP was funded by Ministerio de Ciencia e Innovación of Spanish Government (ISCIII) through a "Miguel Servet II" (CP16/00020)
- Jair C. Soares supported by the Pat Rutherford Chair in Psychiatry, UTHealth. Jair Soares has received research support from Allergan, Pfizer, Johnson & Johnson, Alquermes and COMPASS. He is a member of the speakers’ bureaus for Sunovion and Sanofi and he is a consultant for Johnson & Johnson.
- The QTIM dataset was supported by the Australian National Health and Medical Research Council (Project Grants No. 496682 and 1009064) and US National Institute of Child Health and Human Development (RO1HD050735)
- SIT was supported in part by NIH grants U54 EB020403, RF1 AG041915, RF1AG051710, P41EB015922, R01MH116147, and R56AG058854
- The CODE cohort was collected from studies funded by Lundbeck and the German Research Foundation (WA 1539/4-1, SCHN 1205/3-1, SCHR443/11-1)
- Canadian Institutes of Health Research (142255)
- Fundet by Research Council of Norway (223273, 248778, 273291), NIH (ENIGMA grants)
- Funded by the South-Eastern Norway Regional Health Authority and a research grant from Mrs. Throne-Holst.
- This work was supported by the Health Research Board, Ireland and the Irish Research Council
- The Cardiff dataset was supported through a 2010 NARSAD Young Investigator Award (ref: 17319) to Dr. Xavier Caseras
- This work was supported by the FRM (Fondation pour la recherche Biomédicale) "Bio-informatique pour la biologie" 2014 grant
- Canadian Institutes of Health Research (103703, 106469), Nova Scotia Health Research Foundation, Dalhousie Clinical Research Scholarship to T. Hajek, Brain & Behavior Research Foundation (formerly NARSAD) 2007 Young Investigator and 2015 Independent Investigator Awards to T. Hajek
- This work was supported by the University Research Council of the University of Cape Town and the National Research Foundation of South Africa.
- Australian NHMRC Program Grant 1037196 and Project Grants 1063960 and 1066177.
- This work was supported by research grants from Grenoble University Hospital
- This work was supported by the Generalitat de Catalunya (2014 SGR 1573) and Instituto de Salud Carlos III (CPII16/00018) and (PI14/01151 and PI14/01148).
- The DIADE dataset was suported by a ZonMW OOG 2007 grant (100-002-034). HG Ruhe was supported by a ZonMW VENI grant (016.126.059)
- JS is supported by the National Institute of General Medical Sciences (P20GM121312) and the National Insitute of Mental Health (R21MH113871)
- Dr. Mauricio was supported by the funding agencies CAPES, Brazil
- This study was supported by R01MH083968, Desert-Pacific Mental Illness Research Education and Clinical Center, and the US National Science Foundation (Science Gateways Community Institutes; XSEDE).
- GT's work was supported by the National Institutes of Health, Grant T35 AG026757/AG/NIA and the University of California San Diego, Stein Institute for Research on Aging
- "EV thanks the support of the Spanish Ministry of Science, Innovation and Universities (PI15/00283) integrated into the Plan Nacional de I+D+I y cofinanciado por el ISCIII-Subdirección General de Evaluación y el Fondo Europeo de Desarrollo Regional (FEDER); CIBERSAM; and the Comissionat per a Universitats i Recerca del DIUE de la Generalitat de Catalunya to the Bipolar Disorders Group (2017 SGR 1365) and the project SLT006/17/00357, from PERIS 2016-2020 (Departament de Salut). CERCA Programme/Generalitat de Catalunya. "
- Dr. Zanetti was supported by FAPESP, Brazil (grant no. 2013/03905-4).
- NIH grants R01 MH117601, R01 AG059874, U54 EB020403, RF1 AG041915, RF1AG051710, P41EB015922, R01MH116147, and R56AG058854
- PT was supported in part by NIH grants U54 EB020403, RF1 AG041915, RF1AG051710, P41EB015922, R01MH116147, and R56AG058854
- Dr Cole is funded by a UKRI Innovation Fellowship
- This work was supported by NIH grants U54 EB020403 and R01 MH116147. LS is supported by a NHMRC Career Development Fellowship (1140764).
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Affiliation(s)
- Laura K M Han
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit & GGZinGeest, Amsterdam, The Netherlands.
| | - Richard Dinga
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit & GGZinGeest, Amsterdam, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Christopher R K Ching
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lisa T Eyler
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - Lyubomir Aftanas
- FSSBI "Scientific Research Institute of Physiology & Basic Medicine", Laboratory of Affective, Cognitive & Translational Neuroscience, Novosibirsk, Russia
- Department of Neuroscience, Novosibirsk State University, Novosibirsk, Russia
| | - Moji Aghajani
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit & GGZinGeest, Amsterdam, The Netherlands
| | - André Aleman
- Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, The Netherlands
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Ivan Brak
- FSSBI "Scientific Research Institute of Physiology & Basic Medicine", Laboratory of Affective, Cognitive & Translational Neuroscience, Novosibirsk, Russia
- Laboratory of Experimental & Translational Neuroscience, Novosibirsk State University, Novosibirsk, Russia
| | - Geraldo Busatto Filho
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Angela Carballedo
- Department for Psychiatry, Trinity College Dublin, Dublin, Ireland
- North Dublin Mental Health Services, Dublin, Ireland
| | - Colm G Connolly
- Department of Biomedical Sciences, Florida State University, Tallahassee, FL, USA
| | | | - Kathryn R Cullen
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Christopher G Davey
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Danai Dima
- Department of Psychology, School of Arts and Social Sciences, City, University of London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - Fabio L S Duran
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Verena Enneking
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Elena Filimonova
- FSSBI "Scientific Research Institute of Physiology & Basic Medicine", Laboratory of Affective, Cognitive & Translational Neuroscience, Novosibirsk, Russia
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Thomas Frodl
- Department for Psychiatry, Trinity College Dublin, Dublin, Ireland
- Department of Psychiatry and Psychotherapy, Otto von Guericke University (OVGU), Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Cynthia H Y Fu
- Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- School of Psychology, University of East London, London, UK
| | | | - Ian H Gotlib
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE) Site Rostock/Greifswald, Greifswald, Germany
| | - Nynke A Groenewold
- Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | | | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Geoffrey B Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Sean N Hatton
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Department of Neuroscience, University of California San Diego, San Diego, CA, USA
| | - Marco Hermesdorf
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Ian B Hickie
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Tiffany C Ho
- Department of Psychology, Stanford University, Stanford, CA, USA
- Department of Psychiatry & Behavioral Sciences, Standord University, Stanford, CA, USA
| | - Norbert Hosten
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Andreas Jansen
- Department of Psychiatry, Philipps-University Marburg, Marburg, Germany
| | - Claas Kähler
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry, Philipps-University Marburg, Marburg, Germany
| | | | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Axel Krug
- Department of Psychiatry, Philipps-University Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Jim Lagopoulos
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Sunshine Coast Mind and Neuroscience Institute, University of the Sunshine Coast QLD, Sippy Downs, QLD, Australia
| | - Ramona Leenings
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Frank P MacMaster
- Departments of Psychiatry and Pediatrics, University of Calgary, Calgary, AB, Canada
- Addictions and Mental Health Strategic Clinical Network, Calgary, AB, Canada
| | - Glenda MacQueen
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Andrew McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Quinn McLellan
- Departments of Psychiatry and Pediatrics, University of Calgary, Calgary, AB, Canada
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Katie L McMahon
- School of Clinical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Instititute, Brisbane, QLD, Australia
| | - Bryon A Mueller
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Benson Mwangi
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Evgeny Osipov
- Laboratory of Experimental & Translational Neuroscience, Novosibirsk State University, Novosibirsk, Russia
| | - Maria J Portella
- Institut d'Investigació Biomèdica Sant Pau, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Cibersam, Spain
| | - Elena Pozzi
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, Minnesota, USA
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Liesbeth Reneman
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Pedro G P Rosa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Matthew D Sacchet
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | | | - Knut Schnell
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- Department of Psychiatry and Psychotherapy, Asklepios Fachklinikum Göttingen, Göttingen, Germany
| | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
| | - Egle Simulionyte
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jens Sommer
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Dan J Stein
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- SA MRC Unit on Risk and Resilience, University of Cape Town, Cape Town, South Africa
| | - Olaf Steinsträter
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Lachlan T Strike
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Marie-José van Tol
- Cognitive Neuroscience Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ilya M Veer
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert R J M Vermeiren
- Department of Child Psychiatry, University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
| | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Nic J A van der Wee
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Steven J A van der Werff
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Heather Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Nils R Winter
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE) Site Rostock/Greifswald, Greifswald, Germany
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - Mon-Ju Wu
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Tony T Yang
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, UCSF School of Medicine, UCSF, San Francisco, CA, USA
| | | | - Greig I de Zubicaray
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
- Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Giovana B Zunta-Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Christoph Abé
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Erlend Bøen
- Clinic for Mental Health and Dependency, C-L psychiatry and Psychosomatic Unit, Oslo University Hospital, Oslo, Norway
| | - Caterina M Bonnin
- Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | | | - Dara Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Tiffany M Chaim-Avancini
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Pauline Favre
- UNIACT, Psychiatry Team, Neurospin, Atomic Energy Commission, Gif-Sur-Yvette, France
- Translational Psychiatry Team, Pôle de psychiatrie, Faculté de Médecine, APHP, Hôpitaux Universitaires Mondor, INSERM, U955, Créteil, France
| | - Sonya F Foley
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK
| | - Janice M Fullerton
- Neuroscience Research Australia, Randwick, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jose M Goikolea
- Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Bartholomeus C M Haarman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Chantal Henry
- Université de Paris, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neuroscience, F-75014, Paris, France
| | - Josselin Houenou
- UNIACT, Psychiatry Team, Neurospin, Atomic Energy Commission, Gif-Sur-Yvette, France
- Translational Psychiatry Team, Pôle de psychiatrie, Faculté de Médecine, APHP, Hôpitaux Universitaires Mondor, INSERM, U955, Créteil, France
| | - Fleur M Howells
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Martin Ingvar
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
| | | | - Beny Lafer
- Department of Psychiatry, School of Medicine, University of Sao Paulo (FMUSP), Sao Paulo, Brazil
| | - Mikael Landén
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Rodrigo Machado-Vieira
- Department of Psychiatry, School of Medicine, University of Sao Paulo (FMUSP), Sao Paulo, Brazil
| | - Ulrik F Malt
- Department of Clinical Neuroscience, University of Oslo, Oslo, Norway
- Clinic for Psychiatry and Dependency, C-L psychiatry and Psychosomatic Unit, Oslo University Hospital, Oslo, Norway
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Kingsford, Sydney, NSW, Australia
- Black Dog Institute, Prince of Wales Hospital, Randwick, Sydney, NSW, Australia
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Maria Concepcion Garcia Otaduy
- Instituto de Radiologia, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Bronwyn J Overs
- Neuroscience Research Australia, Randwick, Sydney, NSW, Australia
| | - Mircea Polosan
- Department of Psychiatry and Neurology, CHU Grenoble Alpes, Université Grenoble Alpes, F-38000, Grenoble, France
- Inserm 1216, Grenoble Institut des Neurosciences, GIN, F-38000, Grenoble, France
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, CIBERSAM, Barcelona, Catalonia, Spain
| | - Joaquim Radua
- Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Maria M Rive
- Department of Psychiatry, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Kingsford, Sydney, NSW, Australia
- Black Dog Institute, Prince of Wales Hospital, Randwick, Sydney, NSW, Australia
| | - Henricus G Ruhe
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, CIBERSAM, Barcelona, Catalonia, Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, CIBERSAM, Barcelona, Catalonia, Spain
| | - Theodore D Satterthwaite
- Department of Psychiatry, University of Pennsylvannia Perelman School of Medicine, Philadelphia, PA, USA
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Aart H Schene
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Peter R Schofield
- Neuroscience Research Australia, Randwick, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Mauricio H Serpa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Kang Sim
- West Region and Research Division, Institute of Mental Health, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | | | - Ashley N Sutherland
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - Henk S Temmingh
- Section for Experimental Psychopathology and Neuroimaging, Department of Psychiatry, University of Heidelberg, Heidelberg, Germany
- Valkenberg Psychiatric Hospital, Cape Town, South Africa
| | - Garrett M Timmons
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - Anne Uhlmann
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Eduard Vieta
- Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Daniel H Wolf
- Department of Psychiatry, University of Pennsylvannia Perelman School of Medicine, Philadelphia, PA, USA
| | - Marcus V Zanetti
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
- Instituto de Ensino e Pesquisa, Hospital Sírio-Libanês, Sao Paulo, SP, Brazil
| | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit & GGZinGeest, Amsterdam, The Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit & GGZinGeest, Amsterdam, The Netherlands
| | - Andre F Marquand
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - James H Cole
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
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Checknita D, Tiihonen J, Hodgins S, Nilsson KW. Associations of age, sex, sexual abuse, and genotype with monoamine oxidase a gene methylation. J Neural Transm (Vienna) 2021; 128:1721-1739. [PMID: 34424394 PMCID: PMC8536631 DOI: 10.1007/s00702-021-02403-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 08/06/2021] [Indexed: 12/16/2022]
Abstract
Epigenome-wide studies report higher methylation among women than men with decreasing levels with age. Little is known about associations of sex and age with methylation of monoamine oxidase A (MAOA). Methylation of the first exonic and partial first intronic region of MAOA has been shown to strengthen associations of interactions of MAOA-uVNTR genotypes and adversity with aggression and substance misuse. Our study examined associations of sex and age with MAOA first exon and intron methylation levels in 252 women and 157 men aged 14–73 years. Participants included adolescents recruited at a substance misuse clinic, their siblings and parents, and healthy women. Women showed ~ 50% higher levels of exonic, and ~ 15% higher intronic, methylation than men. Methylation levels were similar between younger (M = 22.7 years) and older (M = 46.1 years) participants, and stable across age. Age modified few associations of methylation levels with sex. MAOA genotypes modified few associations of methylation with sex and age. Higher methylation levels among women were not explained by genotype, nor interaction of genotype and sexual abuse. Findings were similar after adjusting for lifetime diagnoses of substance dependence (women = 24.3%; men = 34.2%). Methylation levels were higher among women who experienced sexual abuse than women who did not. Results extend on prior studies by showing that women display higher levels of methylation than men within first intronic/exonic regions of MAOA, which did not decrease with age in either sex. Findings were not conditioned by genotype nor interactions of genotype and trauma, and indicate X-chromosome inactivation.
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Affiliation(s)
- David Checknita
- Department of Neuroscience, Uppsala University, Uppsala, Sweden. .,Department of Clinical Neuroscience, Karolinska Institutet, Psychiatry Building R5:00 c/o Jari Tiihonen, Karolinska Universitetssjukhuset, 171 76, Stockholm, Sweden. .,Centre for Clinical Research, Västmanland County Council, Uppsala University, Uppsala, Sweden.
| | - Jari Tiihonen
- Department of Clinical Neuroscience, Karolinska Institutet, Psychiatry Building R5:00 c/o Jari Tiihonen, Karolinska Universitetssjukhuset, 171 76, Stockholm, Sweden.,Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden.,Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland
| | - Sheilagh Hodgins
- Department of Clinical Neuroscience, Karolinska Institutet, Psychiatry Building R5:00 c/o Jari Tiihonen, Karolinska Universitetssjukhuset, 171 76, Stockholm, Sweden.,Département de Psychiatrie et Addictologie, Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Université de Montréal, Montréal, QC, Canada
| | - Kent W Nilsson
- Department of Neuroscience, Uppsala University, Uppsala, Sweden.,Centre for Clinical Research, Västmanland County Council, Uppsala University, Uppsala, Sweden
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Oblak L, van der Zaag J, Higgins-Chen AT, Levine ME, Boks MP. A systematic review of biological, social and environmental factors associated with epigenetic clock acceleration. Ageing Res Rev 2021; 69:101348. [PMID: 33930583 DOI: 10.1016/j.arr.2021.101348] [Citation(s) in RCA: 183] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 04/01/2021] [Accepted: 04/21/2021] [Indexed: 02/06/2023]
Abstract
Aging involves a diverse set of biological changes accumulating over time that leads to increased risk of morbidity and mortality. Epigenetic clocks are now widely used to quantify biological aging, in order to investigate determinants that modify the rate of aging and to predict age-related outcomes. Numerous biological, social and environmental factors have been investigated for their relationship to epigenetic clock acceleration and deceleration. The aim of this review was to synthesize general trends concerning the associations between human epigenetic clocks and these investigated factors. We conducted a systematic review of all available literature and included 156 publications across 4 resource databases. We compiled a list of all presently existing blood-based epigenetic clocks. Subsequently, we created an extensive dataset of over 1300 study findings in which epigenetic clocks were utilized in blood tissue of human subjects to assess the relationship between these clocks and numeral environmental exposures and human traits. Statistical analysis was possible on 57 such relationships, measured across 4 different epigenetic clocks (Hannum, Horvath, Levine and GrimAge). We found that the Horvath, Hannum, Levine and GrimAge epigenetic clocks tend to agree in direction of effects, but vary in size. Body mass index, HIV infection, and male sex were significantly associated with acceleration of one or more epigenetic clocks. Acceleration of epigenetic clocks was also significantly related to mortality, cardiovascular disease, cancer and diabetes. Our findings provide a graphical and numerical synopsis of the past decade of epigenetic age estimation research and indicate areas where further attention could be focused in the coming years.
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Rosenberg AM, Rausser S, Ren J, Mosharov EV, Sturm G, Ogden RT, Patel P, Kumar Soni R, Lacefield C, Tobin DJ, Paus R, Picard M. Quantitative mapping of human hair greying and reversal in relation to life stress. eLife 2021; 10:67437. [PMID: 34155974 PMCID: PMC8219384 DOI: 10.7554/elife.67437] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 05/12/2021] [Indexed: 12/12/2022] Open
Abstract
Background: Hair greying is a hallmark of aging generally believed to be irreversible and linked to psychological stress. Methods: Here, we develop an approach to profile hair pigmentation patterns (HPPs) along individual human hair shafts, producing quantifiable physical timescales of rapid greying transitions. Results: Using this method, we show white/grey hairs that naturally regain pigmentation across sex, ethnicities, ages, and body regions, thereby quantitatively defining the reversibility of greying in humans. Molecularly, grey hairs upregulate proteins related to energy metabolism, mitochondria, and antioxidant defenses. Combining HPP profiling and proteomics on single hairs, we also report hair greying and reversal that can occur in parallel with psychological stressors. To generalize these observations, we develop a computational simulation, which suggests a threshold-based mechanism for the temporary reversibility of greying. Conclusions: Overall, this new method to quantitatively map recent life history in HPPs provides an opportunity to longitudinally examine the influence of recent life exposures on human biology. Funding: This work was supported by the Wharton Fund and NIH grants GM119793, MH119336, and AG066828 (MP). Hair greying is a visible sign of aging that affects everyone. The loss of hair color is due to the loss of melanin, a pigment found in the skin, eyes and hair. Research in mice suggests stress may accelerate hair greying, but there is no definitive research on this in humans. This is because there are no research tools to precisely map stress and hair color over time. But, just like tree rings hold information about past decades, and rocks hold information about past centuries, hairs hold information about past months and years. Hair growth is an active process that happens under the skin inside hair follicles. It demands lots of energy, supplied by structures inside cells called mitochondria. While hairs are growing, cells receive chemical and electrical signals from inside the body, including stress hormones. It is possible that these exposures change proteins and other molecules laid down in the growing hair shaft. As the hair grows out of the scalp, it hardens, preserving these molecules into a stable form. This preservation is visible as patterns of pigmentation. Examining single-hairs and matching the patterns to life events could allow researchers to look back in time through a person’s biological history. Rosenberg et al. report a new way to digitize and measure small changes in color along single human hairs. This method revealed that some white hairs naturally regain their color, something that had not been reported in a cohort of healthy individuals before. Aligning the hair pigmentation patterns with recent reports of stress in the hair donors’ lives showed striking associations. When one donor reported an increase in stress, a hair lost its pigment. When the donor reported a reduction in stress, the same hair regained its pigment. Rosenberg et al. mapped hundreds of proteins inside the hairs to show that white hairs contained more proteins linked to mitochondria and energy use. This suggests that metabolism and mitochondria may play a role in hair greying. To explore these observations in more detail Rosenberg et al. developed a mathematical model that simulates the greying of a whole head of hair over a lifetime, an experiment impossible to do with living people. The model suggested that there might be a threshold for temporary greying; if hairs are about to go grey anyway, a stressful event might trigger that change earlier. And when the stressful event ends, if a hair is just above the threshold, then it could revert back to dark. The new method for measuring small changes in hair coloring opens up the possibility of using hair pigmentation patterns like tree rings. This could track the influence of past life events on human biology. In the future, monitoring hair pigmentation patterns could provide a way to trace the effectiveness of treatments aimed at reducing stress or slowing the aging process. Understanding how ‘old’ white hairs regain their ‘young’ pigmented state could also reveal new information about the malleability of human aging more generally.
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Affiliation(s)
- Ayelet M Rosenberg
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States
| | - Shannon Rausser
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States
| | - Junting Ren
- Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, United States
| | - Eugene V Mosharov
- Department of Psychiatry, Division of Molecular Therapeutics, Columbia University Irving Medical Center, New York, United States.,New York State Psychiatric Institute, New York, United States
| | - Gabriel Sturm
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States
| | - R Todd Ogden
- Department of Biostatistics, Mailman School of Public Health, Columbia University Irving Medical Center, New York, United States
| | - Purvi Patel
- Proteomics and Macromolecular Crystallography Shared Resource, Columbia University Irving Medical Center, New York, United States
| | - Rajesh Kumar Soni
- Proteomics and Macromolecular Crystallography Shared Resource, Columbia University Irving Medical Center, New York, United States
| | - Clay Lacefield
- New York State Psychiatric Institute, New York, United States
| | - Desmond J Tobin
- UCD Charles Institute of Dermatology & UCD Conway Institute, School of Medicine, University College Dublin, Dublin, Ireland
| | - Ralf Paus
- Dr. Phillip Frost Department of Dermatology & Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, United States.,Centre for Dermatology Research, University of Manchester, Manchester, United Kingdom.,Monasterium Laboratory, Münster, Germany
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, United States.,New York State Psychiatric Institute, New York, United States.,Department of Neurology, H. Houston Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, United States
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Kuzminskaite E, Penninx BWJH, van Harmelen AL, Elzinga BM, Hovens JGFM, Vinkers CH. Childhood Trauma in Adult Depressive and Anxiety Disorders: An Integrated Review on Psychological and Biological Mechanisms in the NESDA Cohort. J Affect Disord 2021; 283:179-191. [PMID: 33561798 DOI: 10.1016/j.jad.2021.01.054] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 01/12/2021] [Accepted: 01/23/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Childhood trauma (CT) has adverse consequences on mental health across the lifespan. The understanding of how CT increases vulnerability for psychiatric disorders is growing. However, lack of an integrative approach to psychological and biological mechanisms of CT hampers further advancement. This review integrates CT findings across explanatory levels from a longitudinal adult cohort - the Netherlands Study of Depression and Anxiety (NESDA). METHODS We reviewed all studies (k = 37) from the NESDA cohort (n = 2981) published from 2009 to 2020 containing CT findings related to psychopathology and potential psychological and biological mechanisms of CT. RESULTS CT was associated with a higher risk of anxiety and depressive disorders with the strongest associations in the comorbid group. CT predicted the onset of these disorders, recurrence, and poorer outcomes (more comorbidity and chronicity). CT was associated with maladaptive personality characteristics and cognitions (e.g., higher neuroticism and negative self-associations), mild stress systems dysregulations (heightened levels of cortisol and inflammation), advanced biological aging (increased epigenetic aging and telomere attrition), poorer lifestyle (higher smoking rate and body mass index), somatic health decline (e.g., increased metabolic syndrome dysregulations), and brain alterations (e.g., reduced mPFC volume and increased amygdala reactivity). LIMITATIONS Literature review of one cohort using mixed analytical approaches. CONCLUSION CT impacts the functioning of the brain, mind, and body, which together may contribute to a higher vulnerability for affective disorders. It is essential to employ an integrative approach combining different sources of data to understand the mechanisms of CT better.
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Affiliation(s)
- Erika Kuzminskaite
- Department of Psychiatry (GGZ inGeest), Amsterdam UMC (location VUmc), Vrije University, Amsterdam Public Health and Amsterdam Neuroscience Research Institutes, Amsterdam, the Netherlands.
| | - Brenda W J H Penninx
- Department of Psychiatry (GGZ inGeest), Amsterdam UMC (location VUmc), Vrije University, Amsterdam Public Health and Amsterdam Neuroscience Research Institutes, Amsterdam, the Netherlands.
| | - Anne-Laura van Harmelen
- Department of Education and Child Studies, Leiden University, Leiden, the Netherlands; Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, the Netherlands; Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - Bernet M Elzinga
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, the Netherlands; Institute of Psychology, Clinical Psychology Unit, Leiden University, Leiden, the Netherlands.
| | | | - Christiaan H Vinkers
- Department of Psychiatry (GGZ inGeest), Amsterdam UMC (location VUmc), Vrije University, Amsterdam Public Health and Amsterdam Neuroscience Research Institutes, Amsterdam, the Netherlands; Department of Anatomy and Neurosciences, Amsterdam UMC (location VUmc), Vrije University, Amsterdam, the Netherlands.
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43
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Zitkovsky EK, Daniels TE, Tyrka AR. Mitochondria and early-life adversity. Mitochondrion 2021; 57:213-221. [PMID: 33484871 PMCID: PMC8172448 DOI: 10.1016/j.mito.2021.01.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 12/24/2020] [Accepted: 01/16/2021] [Indexed: 12/12/2022]
Abstract
Early-life adversity (ELA), which includes maltreatment, neglect, or severe trauma in childhood, increases the life-long risk for negative health outcomes. Mitochondria play a key role in the stress response and may be an important mechanism by which stress is transduced into biological risk for disease. By responding to cues from stress-signaling pathways, mitochondria interact dynamically with physiological stress responses coordinated by the central nervous, endocrine, and immune systems. Preclinical evidence suggests that alterations in mitochondrial function and structure are linked to both early stress and systemic biological dysfunction. Early clinical studies support that increased mitochondrial DNA content and altered cellular energy demands may be present in individuals with a history of ELA. Further research should investigate mitochondria as a potential therapeutic target following ELA.
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Affiliation(s)
- Emily K Zitkovsky
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, 345 Blackstone Boulevard, Providence, RI 02906, USA; Alpert Medical School of Brown University, 222 Richmond St, Providence, RI 02903, USA.
| | - Teresa E Daniels
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, 345 Blackstone Boulevard, Providence, RI 02906, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, 345 Blackstone Boulevard, Providence, RI 02906, USA.
| | - Audrey R Tyrka
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, 345 Blackstone Boulevard, Providence, RI 02906, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, 345 Blackstone Boulevard, Providence, RI 02906, USA.
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Jansen R, Han LK, Verhoeven JE, Aberg KA, van den Oord EC, Milaneschi Y, Penninx BW. An integrative study of five biological clocks in somatic and mental health. eLife 2021; 10:59479. [PMID: 33558008 PMCID: PMC7872513 DOI: 10.7554/elife.59479] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 12/14/2020] [Indexed: 02/06/2023] Open
Abstract
Biological clocks have been developed at different molecular levels and were found to be more advanced in the presence of somatic illness and mental disorders. However, it is unclear whether different biological clocks reflect similar aging processes and determinants. In ~3000 subjects, we examined whether five biological clocks (telomere length, epigenetic, transcriptomic, proteomic, and metabolomic clocks) were interrelated and associated to somatic and mental health determinants. Correlations between biological aging indicators were small (all r < 0.2), indicating little overlap. The most consistent associations of advanced biological aging were found for male sex, higher body mass index (BMI), metabolic syndrome, smoking, and depression. As compared to the individual clocks, a composite index of all five clocks showed most pronounced associations with health determinants. The large effect sizes of the composite index and the low correlation between biological aging indicators suggest that one's biological age is best reflected by combining aging measures from multiple cellular levels.
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Affiliation(s)
- Rick Jansen
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Laura Km Han
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Josine E Verhoeven
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Karolina A Aberg
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, United States
| | - Edwin Cgj van den Oord
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, United States
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Brenda Wjh Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, Netherlands
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45
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Ekbäck E, Granåsen G, Svärling R, Blomqvist I, Henje E. Clinical Effectiveness of Training for Awareness Resilience and Action Online Compared to Standard Treatment for Adolescents and Young Adults With Depression: Study Protocol and Analysis Plan for a Pragmatic, Multi-Center Randomized Controlled Superiority Trial. Front Psychiatry 2021; 12:674583. [PMID: 34707516 PMCID: PMC8542661 DOI: 10.3389/fpsyt.2021.674583] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 09/10/2021] [Indexed: 01/21/2023] Open
Abstract
Depression in adolescents and young adults is an increasing global health concern. Available treatments are not sufficiently effective and relapse rates remain high. The novel group-treatment program "Training for Awareness, Resilience and Action" (TARA) targets specific mechanisms based on neuroscientific findings in adolescent depression. TARA is framed within the National Institute of Mental Health's Research Domain Criteria and has documented feasibility and preliminary efficacy in the treatment of adolescent depression. Since neurodevelopment continues well into the mid-twenties, age-adapted treatments are warranted also for young adults. Patients 15-22 years old, with either major depressive disorder (MDD) or persistent depressive disorder (PDD) according to the DSM-IV/5 or a rating >40 on the clinician rating scale Children's Depression Rating Scale-Revised (CDRS-R), will be recruited from specialized Child and Adolescent Psychiatry and local Youth-Clinics and randomized to either TARA or standard treatment, including but not limited to antidepressant medication and/or psychotherapy. Outcome measures will be obtained before randomization (T0), after 3 months of treatment (T1) and at 6-months- (T2) and 24-months- (T3) follow-up. Additionally, dose-response measures will be obtained weekly in the TARA-arm and measures for mediation-analysis will be obtained halfway through treatment (T0.5). Primary outcome measure is Reynolds Adolescent Depression Scale (RADS-2) score at T1. Secondary outcome measures include RADS-2 score at T2, Multidimensional Anxiety Scale for Children at T1 and T2, and CDRS-R at T1. Additional outcome measures include self-report measures of depression-associated symptoms, systemic bio-indicators of depression from blood and hair, heartrate variability, brain magnetic resonance imaging, as well as three-axial accelerometry for sleep-objectivization. Qualitative data will be gathered to reach a more comprehensive understanding of the factors affecting adolescents and young adults with depression and the extent to which the different treatments address these factors. In summary, this article describes the design, methods and statistical analysis plan for pragmatically evaluating the clinical effectiveness of TARA. This will be the first RCT to examine the effects of TARA compared to standard treatment for adolescents and young adults with MDD or PDD. We argue that this study will extend the current knowledgebase regarding the treatment of depression. NCT Registration: identifier [NCT04747340].
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Affiliation(s)
- Erik Ekbäck
- Department of Clinical Science, Umeå University, Umeå, Sweden
| | - Gabriel Granåsen
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Rachel Svärling
- Department of Clinical Science, Umeå University, Umeå, Sweden
| | - Ida Blomqvist
- Department of Clinical Science, Umeå University, Umeå, Sweden
| | - Eva Henje
- Department of Clinical Science, Umeå University, Umeå, Sweden
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46
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Ekman U, Kemani MK, Wallert J, Wicksell RK, Holmström L, Ngandu T, Rennie A, Akenine U, Westman E, Kivipelto M. Evaluation of a Novel Psychological Intervention Tailored for Patients With Early Cognitive Impairment (PIPCI): Study Protocol of a Randomized Controlled Trial. Front Psychol 2020; 11:600841. [PMID: 33424715 PMCID: PMC7785936 DOI: 10.3389/fpsyg.2020.600841] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 11/30/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Individuals with early phase cognitive impairment are frequently affected by existential distress, social avoidance and associated health issues (including symptoms of stress, anxiety, and depression). The demand for efficient psychological support is crucial from both an individual and a societal perspective. We have developed a novel psychological intervention (Psychological Intervention tailored for Patients with Cognitive Impairment, PIPCI) manual for providing a non-medical path to enhanced psychological health in the cognitively impaired population. The current article provides specific information on the randomized controlled trial (RCT)-design and methods. The main hypothesis is that participants receiving PIPCI will increase their psychological flexibility (the ability to notice and accept interfering thoughts, emotions, and bodily sensations without acting on them, when this serves action in line with personal values) compared to participants in the active control (cognitive training) group and the waiting list control group. The secondary hypotheses are that participants receiving PIPCI will improve psychological health (stress measures, quality of life, depression, and general health) compared to participants in the active control group and the waiting list control group. MATERIALS AND METHODS This three-arm RCT will recruit participants from the cognitive centers at Karolinska University Hospital in Stockholm and randomize approximately 120 individuals in the early phase of cognitive impairment to either an experimental group (psychological intervention once a week for 10 weeks), an active control group (cognitive training once a week for 10 weeks) or a waiting list control group. Intervention outcome will be evaluated with self-report questionnaires on physical and psychological aspects of health, cognitive assessment, biological markers (obtained from blood and saliva) and health care costs. Assessments will be performed at pre- (1 week before the interventions) and post-intervention (1 week after the interventions), as well as at a 6-month follow-up. DISCUSSION The development of a potentially feasible and effective psychological intervention tailored for early phase cognitive impairment (PIPCI) has the potential to advance the non-pharmacological intervention field. This is especially important given the extensive burden for many affected individuals and their families and the current lack of effective treatments. If the psychological intervention discussed here shows feasibility and efficacy, there is potential for far-reaching healthcare implications for patients with early cognitive impairment at risk of developing dementia. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov: NCT04356924. Date of registration: April 22, 2020. URL: https://clinicaltrials.gov/ct2/show/NCT04356924.
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Affiliation(s)
- Urban Ekman
- Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Medical Unit Medical Psychology, Allied Health Professionals, Karolinska University Hospital, Stockholm, Sweden
- Medical Unit Ageing, Allied Health Professionals Function, Karolinska University Hospital, Stockholm, Sweden
| | - Mike K. Kemani
- Medical Unit Medical Psychology, Allied Health Professionals, Karolinska University Hospital, Stockholm, Sweden
- Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden
| | - John Wallert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Rikard K. Wicksell
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Linda Holmström
- Medical Unit Medical Psychology, Allied Health Professionals, Karolinska University Hospital, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tiia Ngandu
- Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Anna Rennie
- Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Ulrika Akenine
- Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Theme Aging, Karolinska University Hospital, Huddinge, Sweden
| | - Eric Westman
- Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Miia Kivipelto
- Center for Alzheimer Research, Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden
- Theme Aging, Karolinska University Hospital, Huddinge, Sweden
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Ageing and Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, United Kingdom
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Bersani FS, Canevelli M, Cesari M, Maggioni E, Pasquini M, Wolkowitz OM, Ferracuti S, Biondi M, Bruno G. Frailty Index as a clinical measure of biological age in psychiatry. J Affect Disord 2020; 268:183-187. [PMID: 32174476 DOI: 10.1016/j.jad.2020.03.015] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 02/25/2020] [Accepted: 03/04/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Serious mental illnesses may be characterized by accelerated biological aging, and over the last years the research on the topic has been stimulated by studies exploring the molecular underpinnings of senescence. METHODS In the present manuscript we propose that measuring frailty, a general product of organismal ageing, through the "Frailty Index" (FI), a recently-emerged macroscopic indicator of functional status and biological age, adds an important marker to the measurements currently implemented in the study of accelerated biological age in psychiatric illnesses. RESULTS The FI quantifies functional negative health attributes and measures their cumulative effect, thus providing a useful estimate of the individual's biological age and risk profile. Recent studies in older adults have observed significant associations between FI and molecular measures of aging. LIMITATIONS High FI values can be driven by causes different from aging per se, so FI may be a sensitive but not specific measure of biological aging. CONCLUSIONS FI, which is extensively used in geriatrics and gerontology but it has rarely been used in relation to mental health, may be of relevance in the evaluation of age-related phenomena associated with psychiatric diseases.
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Affiliation(s)
| | - Marco Canevelli
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy; National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Matteo Cesari
- Fondazione IRCCS Ca, Granda Ospedale Maggiore Policlinico, Milan, Italy; Geriatric Unit, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Eleonora Maggioni
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Massimo Pasquini
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Owen M Wolkowitz
- Department of Psychiatry, University of California San Francisco, San Francisco, USA
| | - Stefano Ferracuti
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Massimo Biondi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Giuseppe Bruno
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
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Domingue BW, Duncan L, Harrati A, Belsky DW. Short-Term Mental Health Sequelae of Bereavement Predict Long-Term Physical Health Decline in Older Adults: U.S. Health and Retirement Study Analysis. J Gerontol B Psychol Sci Soc Sci 2020; 76:1231-1240. [PMID: 32246152 DOI: 10.1093/geronb/gbaa044] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES Spousal death is a common late-life event with health-related sequelae. Evidence linking poor mental health to disease suggests the hypothesis that poor mental health following death of a spouse could be a harbinger of physical health decline. Thus, identification of bereavement-related mental health symptoms could provide an opportunity for prevention. METHODS We analyzed data from N = 39,162 individuals followed from 1994 to 2016 in the U.S. Health and Retirement Study; N = 5,061 were widowed during follow-up. We tested change in mental and physical health from prebereavement through the 5 years following spousal death. RESULTS Bereaved spouses experienced an increase in depressive symptoms following their spouses' deaths but the depressive shock attenuated within 1 year. Bereaved spouses experienced increases in disability, chronic-disease morbidity, and hospitalization, which grew in magnitude over time, especially among older respondents. Bereaved spouses were at increased risk of death compared to nonbereaved respondents. The magnitude of depressive symptoms in the immediate aftermath of spousal death predicted physical-health decline and mortality risk over 5 years of follow-up. DISCUSSION Bereavement-related depressive symptoms indicate a risk for physical health decline and death in older adults. Screening for depressive symptoms in bereaved older adults may represent an opportunity for intervention to preserve healthy life span.
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Affiliation(s)
- Benjamin W Domingue
- Stanford Graduate School of Education and Stanford Population Health Sciences, California
| | - Laramie Duncan
- Stanford Department of Psychiatry and Behavioral Sciences, California
| | - Amal Harrati
- Primary Care and Population Health, Stanford School of Medicine, California
| | - Daniel W Belsky
- Department of Epidemiology and Robert N Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, New York
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49
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Entringer S, Epel ES. The stress field ages: A close look into cellular aging processes. Psychoneuroendocrinology 2020; 113:104537. [PMID: 32085926 PMCID: PMC7429448 DOI: 10.1016/j.psyneuen.2019.104537] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 11/28/2019] [Indexed: 12/20/2022]
Affiliation(s)
- Sonja Entringer
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany; Department of Pediatrics, University of California, Irvine, Irvine, California, USA.
| | - Elissa S Epel
- Department of Psychiatry, and Center for Health and Community, University of California, San Francisco, California, USA.
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50
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Abstract
In seeking to understand mental health and disease, it is fundamental to identify the biological substrates that draw together the experiences and physiological processes that underlie observed psychological changes. Mitochondria are subcellular organelles best known for their central role in energetics, producing adenosine triphosphate to power most cellular processes. Converging lines of evidence indicate that mitochondria play a key role in the biological embedding of adversity. Preclinical research documents the effects of stress exposure on mitochondrial structure and function, and recent human research suggests alterations constituting recalibrations, both adaptive and nonadaptive. Current research suggests dynamic relationships among stress exposure, neuroendocrine signaling, inflammation, and mitochondrial function. These complex relationships are implicated in disease risk, and their elucidation may inform prevention and treatment of stress- and trauma-related disorders. We review and evaluate the evidence for mitochondrial dysfunction as a consequence of stress exposure and as a contributing factor to psychiatric disease.
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Affiliation(s)
- Teresa E Daniels
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, Rhode Island 02906, USA; , , .,Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island 02912, USA
| | - Elizabeth M Olsen
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, Rhode Island 02906, USA; , , .,Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island 02912, USA
| | - Audrey R Tyrka
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, Rhode Island 02906, USA; , , .,Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island 02912, USA
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