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van Heijningen CJM, van Berkel SR, Rosinda SJ, Penninx BWJH, Alink LRA, Elzinga BM. Long-term effects of experiencing childhood parental death on mental and physical health: A NESDA study. Stress Health 2024; 40:e3322. [PMID: 37830435 DOI: 10.1002/smi.3322] [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: 12/02/2022] [Revised: 08/16/2023] [Accepted: 09/18/2023] [Indexed: 10/14/2023]
Abstract
Experiencing parental death during childhood is an adverse, potentially traumatic experience that may have substantial long-term effects on mental and physical well-being. The current study was based on data of the Netherlands Study of Depression and Anxiety to investigate mental health (i.e., depressive symptoms, anxiety symptoms, and suicidal ideation) and physical health outcomes (i.e., metabolic syndrome, telomere length, and perceived physical health) as well as health behaviour (i.e., smoking status, alcohol use, and physical activity) to provide more insight into the long-term outcomes after experiencing childhood parental death (CPD). For individuals who experienced CPD, we also investigated the role of loss-related factors in these associations, namely the age of the child when their parent passed away and gender of the deceased parent. Interviews and questionnaires were completed by adults between 18 and 65 years; 177 participants experienced CPD (mean age = 45.19, 61.6% female) and 2463 did not (mean age = 41.38, 66.6% female). Results showed no overall association between the experience of CPD and mental and physical health indices and health behaviour. Within the CPD group, experiencing CPD at a younger age was related to a higher likelihood of suicidal ideation. These findings seem to illustrate a general positive adjustment with regard to long-term health functioning after experiencing such an impactful life event. Future research should focus on individual differences in terms of adaptation, especially elucidating on contextual factors after the loss, such as the kind of support that is or is not provided by the surviving parent and/or other important individuals.
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Affiliation(s)
| | - Sheila R van Berkel
- Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands
| | - Selena J Rosinda
- Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, The Netherlands
| | - Lenneke R A Alink
- Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition (LIBC), Leiden University, Leiden, The Netherlands
| | - 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
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Lorenzo EC, Figueroa JE, Demirci DA, El-Tayyeb F, Huggins BJ, Illindala M, Bartley JM, Haynes L, Diniz BS. Unraveling the association between major depressive disorder and senescent biomarkers in immune cells of older adults: a single-cell phenotypic analysis. FRONTIERS IN AGING 2024; 5:1376086. [PMID: 38665228 PMCID: PMC11043554 DOI: 10.3389/fragi.2024.1376086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 03/19/2024] [Indexed: 04/28/2024]
Abstract
Background: Little is known about the prevalence of cellular senescence among immune cells (i.e., immune cells expressing senescence markers, iSCs) nor is there a gold-standard to efficiently measure iSCs. Major depressive disorder (MDD) in older adults has been associated with many hallmarks of senescence in whole blood, leukocytes, and plasma, supporting a strong connection between iSCs and MDD. Here, we investigated the prevalence and phenotype of iSCs in older adults with MDD. Using a single-cell phenotypic approach, circulating immune cells were examined for iSC biomarkers and their relationship to depression and inflammation. Results: PBMCs from older adults with MDD (aged 69.75 ± 5.23 years) and healthy controls (aged 71.25 ± 8.8 years) were examined for immune subset distribution and senescence biomarkers (i.e., lack of proliferation, senescence-associated heterochromatin foci (SAHF), and DNA damage). Dual-expression of SAHF and DNA damage was categorized by low, intermediate, and high expression. A significant increase in the number of high expressing total PBMCs (p = 0.01), monocytes (p = 0.008), a trending increase in the number of high expressing CD4 T cells (p = 0.06) was observed overall in those with MDD. There was also a significantly lower proportion of intermediate expressing cells in monocytes and CD4 T cells in MDD (p = 0.01 and p = 0.05, respectively). Correlation analysis revealed associations between iSCs and mRNA expression of factors related to SASP and immune cell function. Conclusion: MDD is associated with increased senescent cell biomarkers in immune cell populations delineated by distinct levels of SAHF and DNA damage. Inflammatory markers might serve as potent indicators of iSC burden in MDD.
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Affiliation(s)
- Erica C. Lorenzo
- UConn Health Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States
| | - Jovany E. Figueroa
- UConn Health Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States
- Ponce Health Sciences University School of Medicine, Ponce, PR, United States
| | - Derya A. Demirci
- UConn Health Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States
| | - Ferris El-Tayyeb
- UConn Health Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States
| | - Billy J. Huggins
- UConn Health Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States
| | - Medha Illindala
- UConn Health Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States
| | - Jenna M. Bartley
- UConn Health Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States
| | - Laura Haynes
- UConn Health Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States
| | - Breno S. Diniz
- UConn Health Center on Aging, University of Connecticut School of Medicine, Farmington, CT, United States
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Lu G, Fang T, Li X, Zhang X, Li H, Wu N, Liu F, Hao W, Ye QN, Cheng L, Li J, Li F. Methamphetamine use shortens telomere length in male adults and rats. Drug Alcohol Depend 2024; 256:111094. [PMID: 38262198 DOI: 10.1016/j.drugalcdep.2024.111094] [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: 09/26/2023] [Revised: 12/19/2023] [Accepted: 01/09/2024] [Indexed: 01/25/2024]
Abstract
BACKGROUND Methamphetamine (MA) use increases the risk of age-related diseases. However, it remains uncertain whether MA use exhibits accelerated biological aging, as indicated by telomere length (TL), a proposed marker of aging. Here we conducted studies in both humans and rats to investigate the association between MA use and TL. METHODS We recruited 125 male MA users and 66 healthy controls, aged 30-40 years. MA users were diagnosed using DSM-5 criteria and categorized into two groups: non-severe (n = 78) and severe (n = 47) MA use disorder (MUD). MA-treated conditioned place preference (CPP) rats were utilized to validate our clinical investigations. TL was assessed using real-time polymerase chain reaction. RESULTS At clinical levels, MA users exhibited significantly shorter leukocyte TL compared to healthy controls. Among MA users, individuals with severe MUD had significantly shorter leukocyte TL than those with non-severe MUD. Importantly, both univariate and multivariate linear regression analyses demonstrated a negative association between the severity of MA use and leukocyte TL. In a rat model of MA-induced CPP, leukocyte TL was also significantly shortened after MA administration, especially in rats with higher CPP expression or reinstatement scores. CONCLUSION MA use shortened TL, and the severity of MA use was negatively correlated with TL. These findings provide new insights into the pathophysiology of accelerated aging caused by MA use and may have implications for identifying biomarkers and developing novel treatment strategies for MUD.
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Affiliation(s)
- Guanyi Lu
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China
| | - Ting Fang
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China
| | - Xinyue Li
- Beijing Institute of Biotechnology, Beijing, China
| | - XiaoJie Zhang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Hong Li
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China
| | - Ning Wu
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China
| | - Feng Liu
- Compulsory Detoxification Center of Changsha Public Security Bureau, Changsha, Hunan, China
| | - Wei Hao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Qi-Nong Ye
- Beijing Institute of Biotechnology, Beijing, China
| | - Long Cheng
- Beijing Institute of Biotechnology, Beijing, China; 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, China.
| | - Jin Li
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
| | - Fei Li
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Key Laboratory of Neuropsychopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing, China.
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Joshi D, van Lenthe FJ, Huisman M, Sund ER, Krokstad S, Avendano M, Raina P. Association of Neighborhood Deprivation and Depressive Symptoms With Epigenetic Age Acceleration: Evidence From the Canadian Longitudinal Study on Aging. J Gerontol A Biol Sci Med Sci 2024; 79:glad118. [PMID: 37279588 PMCID: PMC10809038 DOI: 10.1093/gerona/glad118] [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] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Indexed: 06/08/2023] Open
Abstract
BACKGROUND Neighborhood deprivation and depression have been linked to epigenetic age acceleration. The next-generation epigenetic clocks including the DNA methylation (DNAm) GrimAge, and PhenoAge have incorporated clinical biomarkers of physiological dysregulation by selecting cytosine-phosphate-guanine sites that are associated with risk factors for disease, and have shown improved accuracy in predicting morbidity and time-to-mortality compared to the first-generation clocks. The aim of this study is to examine the association between neighborhood deprivation and DNAm GrimAge and PhenoAge acceleration in adults, and assess interaction with depressive symptoms. METHODS The Canadian Longitudinal Study on Aging recruited 51 338 participants aged 45-85 years across provinces in Canada. This cross-sectional analysis is based on a subsample of 1 445 participants at baseline (2011-2015) for whom epigenetic data were available. Epigenetic age acceleration (years) was assessed using the DNAm GrimAge and PhenoAge, and measured as residuals from regression of the biological age on chronological age. RESULTS A greater neighborhood material and/or social deprivation compared to lower deprivation (b = 0.66; 95% confidence interval [CI] = 0.21, 1.12) and depressive symptoms scores (b = 0.07; 95% CI = 0.01, 0.13) were associated with higher DNAm GrimAge acceleration. The regression estimates for these associations were higher but not statistically significant when epigenetic age acceleration was estimated using DNAm PhenoAge. There was no evidence of a statistical interaction between neighborhood deprivation and depressive symptoms. CONCLUSIONS Depressive symptoms and neighborhood deprivation are independently associated with premature biological aging. Policies that improve neighborhood environments and address depression in older age may contribute to healthy aging among older adults living in predominantly urban areas.
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Affiliation(s)
- Divya Joshi
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada
| | - Frank J van Lenthe
- Department of Public Health, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Data Science and the Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Erik R Sund
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Levanger, Norway
- Faculty of Nursing and Health Sciences, Nord University, Levanger, Norway
| | - Steinar Krokstad
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Levanger, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Mauricio Avendano
- Center for Primary Care and Public Health (Unisanté), Department of Epidemiology and Health Systems, University of Lausanne, Lausanne, Switzerland
| | - Parminder Raina
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada
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Zhang K, Ma Y, Luo Y, Song Y, Xiong G, Ma Y, Sun X, Kan C. Metabolic diseases and healthy aging: identifying environmental and behavioral risk factors and promoting public health. Front Public Health 2023; 11:1253506. [PMID: 37900047 PMCID: PMC10603303 DOI: 10.3389/fpubh.2023.1253506] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/03/2023] [Indexed: 10/31/2023] Open
Abstract
Aging is a progressive and irreversible pathophysiological process that manifests as the decline in tissue and cellular functions, along with a significant increase in the risk of various aging-related diseases, including metabolic diseases. While advances in modern medicine have significantly promoted human health and extended human lifespan, metabolic diseases such as obesity and type 2 diabetes among the older adults pose a major challenge to global public health as societies age. Therefore, understanding the complex interaction between risk factors and metabolic diseases is crucial for promoting well-being and healthy aging. This review article explores the environmental and behavioral risk factors associated with metabolic diseases and their impact on healthy aging. The environment, including an obesogenic environment and exposure to environmental toxins, is strongly correlated with the rising prevalence of obesity and its comorbidities. Behavioral factors, such as diet, physical activity, smoking, alcohol consumption, and sleep patterns, significantly influence the risk of metabolic diseases throughout aging. Public health interventions targeting modifiable risk factors can effectively promote healthier lifestyles and prevent metabolic diseases. Collaboration between government agencies, healthcare providers and community organizations is essential for implementing these interventions and creating supportive environments that foster healthy aging.
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Affiliation(s)
- Kexin Zhang
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Yujie Ma
- Department of Pathophysiology, School of Basic Medical Sciences, Weifang Medical University, Weifang, China
| | - Youhong Luo
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Yixin Song
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Guoji Xiong
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Yanhui Ma
- Department of Pathology, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Xiaodong Sun
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
| | - Chengxia Kan
- Department of Endocrinology and Metabolism, Affiliated Hospital of Weifang Medical University, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Clinical Research Center, Affiliated Hospital of Weifang Medical University, Weifang, China
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Mutz J, Lewis CM. Telomere Length Associations With Clinical Diagnosis, Age, and Polygenic Risk Scores for Anxiety Disorder, Depression, and Bipolar Disorder. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:1012-1020. [PMID: 37881560 PMCID: PMC10593885 DOI: 10.1016/j.bpsgos.2022.08.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/03/2022] [Accepted: 08/26/2022] [Indexed: 11/24/2022] Open
Abstract
Background Accelerated biological aging might contribute to the lower life expectancy of individuals with mental disorders. The aim of this study was to characterize telomere length, a biological hallmark of aging, in individuals with mental disorders. Methods The UK Biobank is a multicenter community-based observational study that recruited >500,000 middle-aged and older adults. Average leukocyte telomere length (telomere repeat copy number/single-copy gene ratio) was measured using quantitative polymerase chain reaction. Polygenic risk scores (PRSs) were calculated for individuals of European ancestry. We estimated differences in telomere length between individuals with anxiety disorder, depression, or bipolar disorder and people without mental disorders and examined associations with psychotropic medication use, age, and PRSs for these 3 disorders. Results The analyses included up to 308,725 participants. Individuals with depression had shorter telomeres than people without mental disorders (β = -0.011, 95% CI, -0.019 to -0.004, Bonferroni-corrected p = .027). Associations between bipolar disorder and telomere length differed by lithium use. There was limited evidence that individuals with an anxiety disorder had shorter telomeres. There was no evidence that associations between age and telomere length differed between individuals with and without these disorders. PRSs for depression, but not anxiety disorder or bipolar disorder, were associated with shorter telomeres (β = -0.006, 95% CI, -0.010 to -0.003, Bonferroni-corrected p = .001). Conclusions Differences in telomere length were observed primarily for individuals with depression or bipolar disorder and in individuals with a higher PRS for depression. There was no evidence that the association between age and telomere length differed between individuals with and without an anxiety disorder, depression, or bipolar disorder.
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Affiliation(s)
- Julian Mutz
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Cathryn M. Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
- Department of Medical and Molecular Genetics, Faculty of Life Sciences & Medicine, King’s College London, London, United Kingdom
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Zheng S, Wang Z, Yang L, Zhang X. Clinical correlates and thyroid hormones of metabolic syndrome in first-episode and drug-naïve major depressive disorder outpatients with and without hyperglycemia: a comprehensive cross-sectional study. BMC Psychiatry 2023; 23:649. [PMID: 37667222 PMCID: PMC10478374 DOI: 10.1186/s12888-023-05150-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/28/2023] [Indexed: 09/06/2023] Open
Abstract
Hyperglycemia and metabolic syndrome (MetS) are common in patients with major depressive disorder (MDD). This study aimed to explore the prevalence and clinical factors of MetS in first-episode and drug-naïve MDD (FEDND) patients with and without hyperglycemia. A total of 1,718 FEDND patients' symptoms were assessed using the Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), and positive subscale of the Positive and Negative Syndrome Scale (PANSS). Blood glucose levels, metabolic index, and thyroid hormones were measured during fasting. The prevalence of MetS in FEDND patients with hyperglycemia was 35.67 times higher than in FEDND patients without hyperglycemia. FEDND patients with MetS were older, had later age of onset, and were predominantly married than those without MetS (p < 0.05). Among FEDND patients without hyperglycemia, suicide attempts, severe anxiety, HAMD, HAMA, PANSS subscale scores, thyroid stimulating hormone, antithyroglobulin, and total cholesterol levels were all higher in patients with MetS than those without MetS (all p < 0.05). In FEDND patients without hyperglycemia, the combination of age and TgAb distinguished those patients with and without MetS. Our results suggest a high prevalence of MetS in FEDND patients with hyperglycemia. Several clinical variables and thyroid function-related hormones impact MetS in patients with FEDND.
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Affiliation(s)
- Siyang Zheng
- College of Basic Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Zhiyang Wang
- College of Basic Medical Sciences, Dalian Medical University, Dalian, 116044, China
| | - Limin Yang
- School of Medicine, Dalian University, Dalian, 116622, Liaoning, China.
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.
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8
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Ochi S, Roy B, Prall K, Shelton RC, Dwivedi Y. Strong associations of telomere length and mitochondrial copy number with suicidality and abuse history in adolescent depressed individuals. Mol Psychiatry 2023; 28:3920-3929. [PMID: 37735501 PMCID: PMC10730407 DOI: 10.1038/s41380-023-02263-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 08/30/2023] [Accepted: 09/08/2023] [Indexed: 09/23/2023]
Abstract
Major depressive disorder (MDD) is highly prevalent in adolescents and is a major risk factor for suicidality. Recent evidence shows that accelerated cellular senescence/aging is associated with psychiatric illness, including depression, in adults. The present study examined if the relationships of telomere length (TL) and mitochondrial DNA copy number (mtDNAcn), two critical indicators of cellular senescence/aging, are altered in depressed adolescents and whether these alterations are associated with suicidality, early-life adversities, and other co-occuring factors. In genomic DNA isolated from 53 adolescents (ages 16-19, 19 MDD with suicide attempt/suicidal ideation [MDD + SI/SA], 14 MDD without SA/SI [MDD-SI/SA], and 20 healthy controls [HC]), TL and mtDNAcn were measured as the ratio between the number of telomere repeats and that of a single-copy nuclear-hemoglobin [HBG] gene or the amount of mtDNA (NADH dehydrogenase, subunit 1) relative to HBG. Our data show that TL was significantly lower, and mtDNAcn was significantly higher in the total MDD group than HC. TL was significantly lower and mtDNAcn was significantly higher in the MDD + SA/SI group than in the HC, whereas there were no differences in the MDD-SI/SA group. TL was positively correlated with mtDNAcn in both HC and MDD-SA/SI groups; however, TL was negatively correlated with mtDNAcn in MDD + SA/SI. Furthermore, TL was negatively correlated with the severity of both depression and anxiety, while mtDNAcn was positively correlated with the severity of prior emotional abuse. Our study indicates that cellular senescence is more advanced in depressed adolescents with suicidal ideation and that childhood emotional abuse may participate in such a process.
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Affiliation(s)
- Shinichiro Ochi
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- Department of Neuropsychiatry, Molecules and Function, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Bhaskar Roy
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Kevin Prall
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Richard C Shelton
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Yogesh Dwivedi
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
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9
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Kim E, Oh J, Huh I. [An Investigation of the Cumulative Effects of Depressive Symptoms on the Cognitive Function in Community-Dwelling Older Adults: Analysis of the Korean Longitudinal Study of Aging]. J Korean Acad Nurs 2023; 53:453-467. [PMID: 37673819 DOI: 10.4040/jkan.23018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 05/18/2023] [Accepted: 06/26/2023] [Indexed: 09/08/2023]
Abstract
PURPOSE This study investigated the cumulative effects of depressive symptoms on cognitive function over time in community-dwelling older adults. METHODS Data were investigated from 2,533 community-dwelling older adults who participated in the Korean Longitudinal Study of Aging (KLoSA) from the 5th (2014) to the 8th wave (2020). The association between cumulative depressive symptoms and cognitive function was identified through multiple regression analysis. RESULTS When the multiple regression analysis was conducted from each wave, the current depressive symptoms scores and cognitive function scores were negatively associated, regardless of the waves (B5th = -0.26, B6th = -0.26, B7th = -0.26, and B8th = -0.27; all p < .001). Further, when all the previous depressive symptoms scores were added as explanatory variables in the 8th wave, the current one (B8th = -0.09, p < .001) and the previous ones (B5th = -0.11, B6th = -0.09, and B7th = -0.13; all p < .001) were also negatively associated with the cognitive function score. The delta R², which indicates the difference between the model's R² with and without the depressive symptoms scores, was greater in the model with all the previous and current depressive symptoms scores (6.4%) than in the model with only the current depressive symptoms score (3.6%). CONCLUSION Depressive symptoms in older adults have a long-term impact. This results in an accumulated adverse effect on the cognitive function. Therefore, to prevent cognitive decline in older adults, we suggest detecting their depressive symptoms early and providing continuous intervention to reduce exposure to long-term depressive symptoms.
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Affiliation(s)
- Eunmi Kim
- College of Nursing, Seoul National University, Seoul, Korea
| | - Jinkyung Oh
- College of Nursing, Seoul National University, Seoul, Korea
| | - Iksoo Huh
- College of Nursing, Seoul National University, Seoul, Korea
- The Research Institute of Nursing Science, Seoul National University, Seoul, Korea.
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10
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Rampersaud R, Wu GWY, Reus VI, Lin J, Blackburn EH, Epel ES, Hough CM, Mellon SH, Wolkowitz OM. Shorter telomere length predicts poor antidepressant response and poorer cardiometabolic indices in major depression. Sci Rep 2023; 13:10238. [PMID: 37353495 PMCID: PMC10290110 DOI: 10.1038/s41598-023-35912-z] [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: 12/28/2022] [Accepted: 05/25/2023] [Indexed: 06/25/2023] Open
Abstract
Telomere length (TL) is a marker of biological aging, and shorter telomeres have been associated with several medical and psychiatric disorders, including cardiometabolic dysregulation and Major Depressive Disorder (MDD). In addition, studies have shown shorter TL to be associated with poorer response to certain psychotropic medications, and our previous work suggested shorter TL and higher telomerase activity (TA) predicts poorer response to Selective Serotonin Reuptake Inhibitor (SSRI) treatment. Using a new group of unmedicated medically healthy individuals with MDD (n = 48), we sought to replicate our prior findings demonstrating that peripheral blood mononuclear cell (PBMC) TL and TA predict response to SSRI treatment and to identify associations between TL and TA with biological stress mediators and cardiometabolic risk indices. Our results demonstrate that longer pre-treatment TL was associated with better response to SSRI treatment (β = .407 p = .007). Additionally, we observed that TL had a negative relationship with allostatic load (β = - .320 p = .017) and a cardiometabolic risk score (β = - .300 p = .025). Our results suggest that PBMC TL reflects, in part, the cumulative effects of physiological stress and cardiovascular risk in MDD and may be a biomarker for predicting SSRI response.
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Affiliation(s)
- Ryan Rampersaud
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA.
| | - Gwyneth W Y Wu
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Victor I Reus
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Jue Lin
- Department of Biochemistry and Biophysics, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Elizabeth H Blackburn
- Department of Biochemistry and Biophysics, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Elissa S Epel
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Christina M Hough
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
- Department of Psychology, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Synthia H Mellon
- Department of OB-GYN and Reproductive Sciences, UCSF School of Medicine, San Francisco, CA, USA
| | - Owen M Wolkowitz
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
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11
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Panza F, Solfrizzi V, Sardone R, Dibello V, Castellana F, Zupo R, Stallone R, Lampignano L, Bortone I, Mollica A, Berardino G, Ruan Q, Altamura M, Bellomo A, Daniele A, Lozupone M. Depressive and Biopsychosocial Frailty Phenotypes: Impact on Late-life Cognitive Disorders. J Alzheimers Dis 2023:JAD230312. [PMID: 37355907 DOI: 10.3233/jad-230312] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/26/2023]
Abstract
In older age, frailty is a detrimental transitional status of the aging process featuring an increased susceptibility to stressors defined by a clinical reduction of homoeostatic reserves. Multidimensional frailty phenotypes have been associated with all-cause dementia, mild cognitive impairment (MCI), Alzheimer's disease (AD), AD neuropathology, vascular dementia, and non-AD dementias. In the present article, we reviewed current evidence on the existing links among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders, also examining common pathways and mechanisms underlying these links. The depressive frailty phenotype suggested by the construct of late-life depression (LLD) plus physical frailty is poorly operationalized. The biopsychosocial frailty phenotype, with its coexistent biological/physical and psychosocial dimensions, defines a biological aging status and includes motivational, emotional, and socioeconomic domains. Shared biological pathways/substrates among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders are hypothesized to be inflammatory and cardiometabolic processes, together with multimorbidity, loneliness, mitochondrial dysfunction, dopaminergic neurotransmission, specific personality traits, lack of subjective/objective social support, and neuroendocrine dysregulation. The cognitive frailty phenotype, combining frailty and cognitive impairment, may be a risk factor for LLD and vice versa, and a construct of depressive frailty linking physical frailty and LLD may be a good dementia predictor. Frailty assessment may enable clinicians to better target the pharmacological and psychological treatment of LLD. Given the epidemiological links of biopsychosocial frailty with dementia and MCI, multidomain interventions might contribute to delay the onset of late-life cognitive disorders and other adverse health-related outcomes, such as institutionalization, more frequent hospitalization, disability, and mortality.
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Affiliation(s)
- Francesco Panza
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Vincenzo Solfrizzi
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Rodolfo Sardone
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Vittorio Dibello
- "Cesare Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari "Aldo Moro", Bari, Italy
- Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Fabio Castellana
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Roberta Zupo
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Roberta Stallone
- Neuroscience and Education, Human Resources Excellence in Research, University of Foggia, Foggia, Italy
| | - Luisa Lampignano
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Ilaria Bortone
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Anita Mollica
- Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy
| | - Giuseppe Berardino
- Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy
| | - Qingwei Ruan
- Laboratory of Aging, Anti-aging & Cognitive Performance, Shanghai Institute of Geriatrics and Gerontology, Huadong Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Clinical Geriatrics, Huadong Hospital, Shanghai Medical 14 College, Fudan University, Shanghai, China
| | - Mario Altamura
- Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy
| | - Antonello Bellomo
- Psychiatric Unit, Department of Clinical & Experimental Medicine, University of Foggia, Foggia, Italy
| | - Antonio Daniele
- Department of Neuroscience, Catholic University of Sacred Heart, Rome, Italy
- Neurology Unit, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Madia Lozupone
- Department of Translational Biomedicine and Neuroscience "DiBraiN", University of Bari Aldo Moro, Bari, Italy
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12
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Daoust AR, Thakur A, Kotelnikova Y, Kleiber ML, Singh SM, Hayden EP. Associations Between Children's Telomere Length, Parental Intrusiveness, and the Development of Early Externalizing Behaviors. Child Psychiatry Hum Dev 2023; 54:672-682. [PMID: 34727279 DOI: 10.1007/s10578-021-01279-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 10/24/2021] [Indexed: 11/28/2022]
Abstract
Shorter telomeres mark cellular aging and are linked to chronic stress exposure as well as negative physical and psychological outcomes. However, it is unclear whether telomere length mediates associations between early stress exposure and later externalizing problems, or whether boys and girls differ in pathways to these concerns. We therefore examined associations between telomere length, early stress via negative caregiving, and children's externalizing symptom development over time in 409 three-year-old children and their parents. Telomere length mediated the association between early parental intrusiveness and later rule-breaking behavior; however, this association was moderated by children's biological sex such that parent intrusiveness was related only to boys' rule-breaking. Findings support the notion that children's telomere length may mark individual differences in responses to negative early caregiving, and highlight a potential mechanism contributing to the development of rule-breaking problems in boys.
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Affiliation(s)
- Andrew R Daoust
- Department of Psychology, University of Western Ontario, London, ON, Canada.
- Department of Psychology, Brain and Mind Institute, Western University, Western Interdisciplinary Research Building, Room 2178, Perth Drive, London, ON, N6A 5B7, Canada.
| | - Aditi Thakur
- Department of Biology, University of Western Ontario, London, ON, Canada
| | | | - Morgan L Kleiber
- Department of Biology, University of Western Ontario, London, ON, Canada
| | - Shiva M Singh
- Department of Biology, University of Western Ontario, London, ON, Canada
| | - Elizabeth P Hayden
- Department of Psychology, University of Western Ontario, London, ON, Canada
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13
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Uziel O, Dickstein H, Beery E, Lewis Y, Loewenthal R, Uziel E, Shochat Z, Weizman A, Stein D. Differences in Telomere Length between Adolescent Females with Anorexia Nervosa Restricting Type and Anorexia Nervosa Binge-Purge Type. Nutrients 2023; 15:2596. [PMID: 37299559 PMCID: PMC10255620 DOI: 10.3390/nu15112596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 05/29/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023] Open
Abstract
Physiological and psychological distress may accelerate cellular aging, manifested by shortening of telomere length (TL). The present study focused on TL shortening in anorexia nervosa (AN), an illness combining physiological and psychological distress. For that purpose, we measured TL in 44 female adolescents with AN at admission to inpatient treatment, in a subset of 18 patients also at discharge, and in 22 controls. No differences in TL were found between patients with AN and controls. At admission, patients with AN-binge/purge type (AN-B/P; n = 18) showed shorter TL compared with patients with AN-restricting type (AN-R; n = 26). No change in TL was found from admission to discharge, despite an improvement in body mass index standard deviation score (BMI-SDS) following inpatient treatment. Older age was the only parameter assessed to be correlated with greater TL shortening. Several methodological changes have to be undertaken to better understand the putative association of shorter TL with B/P behaviors, including increasing the sample size and the assessment of the relevant pathological eating disorder (ED) and non-ED psychological correlates in the two AN subtypes.
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Affiliation(s)
- Orit Uziel
- Felsenstein Medical Research Center, Sackler School of Medicine, Tel Aviv University, Petah Tikva 69978, Israel; (O.U.)
- Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Hadar Dickstein
- Safra Children’s Hospital, Sheba Medical Center, Ramat Gan 52621, Israel
| | - Einat Beery
- Felsenstein Medical Research Center, Sackler School of Medicine, Tel Aviv University, Petah Tikva 69978, Israel; (O.U.)
| | - Yael Lewis
- Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
- Shalvatah Mental Health Center, Hod Hasahron 45100, Israel
| | - Ron Loewenthal
- Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
- Safra Children’s Hospital, Sheba Medical Center, Ramat Gan 52621, Israel
| | - Eran Uziel
- Research Unit, Geha Mental Health Center, Petah Tikva 49100, Israel
| | - Zipi Shochat
- Research Unit, Geha Mental Health Center, Petah Tikva 49100, Israel
| | - Abraham Weizman
- Felsenstein Medical Research Center, Sackler School of Medicine, Tel Aviv University, Petah Tikva 69978, Israel; (O.U.)
- Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
- Statistical Service, Rabin Medical Center, Petah Tikva 49100, Israel
| | - Daniel Stein
- Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
- Safra Children’s Hospital, Sheba Medical Center, Ramat Gan 52621, Israel
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14
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Uzbekov MG. Pathogenetic Mechanisms of Mental Disorders: Endogenous Intoxication. BIOCHEMISTRY. BIOKHIMIIA 2023; 88:491-501. [PMID: 37080935 DOI: 10.1134/s0006297923040053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
The review describes the syndrome of endogenous intoxication in patients with mental disorders. Oxidative stress, middle-mass endotoxic molecules, impaired functional properties of serum albumin and albumin thiol groups, neurotrophic factors, and enzymes, including monoamine oxidase and semicarbazide-sensitive amine oxidase contribute to the development of endogenous intoxication. Possible pathogenetic mechanisms of the endogenous intoxication development in mental disorders and approaches to its treatment are discussed.
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Affiliation(s)
- Marat G Uzbekov
- Moscow Research Institute of Psychiatry, Serbsky National Research Center of Psychiatry and Narcology, Ministry of Health of the Russian Federation, Moscow, 107258, Russia.
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15
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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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16
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Dickens SP, Backus ASN. Behavioral Health and Stress in Agriculture. J Agromedicine 2023; 28:73-76. [PMID: 36300340 DOI: 10.1080/1059924x.2022.2140736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Behavioral health and stress are often antecedents to chronic health problems and injury; however, until recently addressing health and safety issues from a behavioral perspective has received little treatment. In this article, we review the current state of behavioral health and stress in agriculture, examine current trends to address this stress, identify gaps still to be filled and make recommendations for future efforts.
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Affiliation(s)
- Steven P Dickens
- Invest EAP Centers for Wellbeing, State of VT, Burlington, Vermont, USA
| | - Ann S N Backus
- Harvard Chan-NIOSH Education and Research Center, Boston, Massachusetts, USA
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17
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Forrester SN, Whitfield KE, Kiefe CI, Thorpe RJ. Navigating Black Aging: The Biological Consequences of Stress and Depression. J Gerontol B Psychol Sci Soc Sci 2022; 77:2101-2112. [PMID: 34875069 PMCID: PMC9683493 DOI: 10.1093/geronb/gbab224] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES Black persons in the United States are more likely to suffer from social inequality. Chronic stress caused by social inequality and racial discrimination results in weathering of the body that causes physiological dysregulation and biological age being higher than chronological age (accelerated aging). Depression has been linked to both racial discrimination and accelerated aging and accelerated aging has been demonstrated to be higher in Black than White persons, on average. However, we know little about accelerated aging across the life course in Black Americans. METHODS We used mixed-effects growth models to measure biological age acceleration, measured with cardiometabolic markers, over a 20-year period in Black participants of the Coronary Artery Risk Development in Young Adults Study who were aged 27-42 years at analytic baseline. We included an interaction between depressive symptoms and time to determine whether risk of depression was associated with a faster rate of biological aging. RESULTS We found that the rate of biological aging increased over a 20-year span and that those at risk for depression had a faster rate of biological aging than those not at risk. We also found that various social factors were associated with biological age acceleration over time. DISCUSSION Given the known association between perceived racial discrimination and depressive symptoms, we provide a novel instance of the long-term effects of social inequality. Specifically, biological age acceleration, a marker of physiological dysregulation, is associated with time among Black persons and more strongly associated among those with depressive symptoms.
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Affiliation(s)
- Sarah N Forrester
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | | | - Catarina I Kiefe
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Roland J Thorpe
- Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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18
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Rampersaud R, Protsenko E, Yang R, Reus V, Hammamieh R, Wu GWY, Epel E, Jett M, Gautam A, Mellon SH, Wolkowitz OM. Dimensions of childhood adversity differentially affect biological aging in major depression. Transl Psychiatry 2022; 12:431. [PMID: 36195591 PMCID: PMC9532396 DOI: 10.1038/s41398-022-02198-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 09/11/2022] [Accepted: 09/21/2022] [Indexed: 11/08/2022] Open
Abstract
Adverse childhood experiences have been consistently linked with physical and mental health disorders in adulthood that may be mediated, in part, via the effects of such exposures on biological aging. Using recently developed "epigenetic clocks", which provide an estimate of biological age, several studies have demonstrated a link between the cumulative exposure to childhood adversities and accelerated epigenetic aging. However, not all childhood adversities are equivalent and less is known about how distinct dimensions of childhood adversity relate to epigenetic aging metrics. Using two measures of childhood adversity exposure, we assess how the dimensions of Maltreatment and Household Dysfunction relate to epigenetic aging using two "second-generation" clocks, GrimAge and PhenoAge, in a cohort of unmedicated somatically healthy adults with moderate to severe major depression (n = 82). Our results demonstrate that the dimension of Maltreatment is associated with epigenetic age acceleration (EAA) using the PhenoAge but not the GrimAge clock. This association was observed using both the Childhood Trauma questionnaire (CTQ; β = 0.272, p = 0.013) and the Adverse Childhood Experiences (ACEs) questionnaire (β = 0.307, p = 0.005) and remained significant when adjusting for exposure to the dimension of Household Dysfunction (β = 0.322, p = 0.009). In contrast, the dimension of Household Dysfunction is associated with epigenetic age deceleration (β = -0.194, p = 0.083) which achieved significance after adjusting for exposure to the dimension of Maltreatment (β = -0.304, p = 0.022). This study is the first to investigate these effects among individuals with Major Depressive Disorder and suggests that these dimensions of adversity may be associated with disease via distinct biological mechanisms.
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Affiliation(s)
- Ryan Rampersaud
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA.
| | - Ekaterina Protsenko
- University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Ruoting Yang
- Medical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Victor Reus
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Rasha Hammamieh
- Medical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Gwyneth W Y Wu
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Elissa Epel
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Marti Jett
- Headquarters, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Aarti Gautam
- Medical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Synthia H Mellon
- Department of OB-GYN and Reproductive Sciences, UCSF School of Medicine, San Francisco, CA, USA
| | - Owen M Wolkowitz
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
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19
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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: 13] [Impact Index Per Article: 6.5] [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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20
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Accelerated functional brain aging in major depressive disorder: evidence from a large scale fMRI analysis of Chinese participants. Transl Psychiatry 2022; 12:397. [PMID: 36130921 PMCID: PMC9492670 DOI: 10.1038/s41398-022-02162-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/04/2022] [Accepted: 09/08/2022] [Indexed: 11/12/2022] Open
Abstract
Major depressive disorder (MDD) is one of the most common mental health conditions that has been intensively investigated for its association with brain atrophy and mortality. Recent studies suggest that the deviation between the predicted and the chronological age can be a marker of accelerated brain aging to characterize MDD. However, current conclusions are usually drawn based on structural MRI information collected from Caucasian participants. The universality of this biomarker needs to be further validated by subjects with different ethnic/racial backgrounds and by different types of data. Here we make use of the REST-meta-MDD, a large scale resting-state fMRI dataset collected from multiple cohort participants in China. We develop a stacking machine learning model based on 1101 healthy controls, which estimates a subject's chronological age from fMRI with promising accuracy. The trained model is then applied to 1276 MDD patients from 24 sites. We observe that MDD patients exhibit a +4.43 years (p < 0.0001, Cohen's d = 0.31, 95% CI: 2.23-3.88) higher brain-predicted age difference (brain-PAD) compared to controls. In the MDD subgroup, we observe a statistically significant +2.09 years (p < 0.05, Cohen's d = 0.134525) brain-PAD in antidepressant users compared to medication-free patients. The statistical relationship observed is further checked by three different machine learning algorithms. The positive brain-PAD observed in participants in China confirms the presence of accelerated brain aging in MDD patients. The utilization of functional brain connectivity for age estimation verifies existing findings from a new dimension.
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21
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Haque R, Reading S, Irwin MR, Chen LH, Slezak J. Antidepressant medication use and prostate cancer recurrence in men with depressive disorders. Cancer Causes Control 2022; 33:1363-1372. [PMID: 36083407 PMCID: PMC9519663 DOI: 10.1007/s10552-022-01623-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 08/15/2022] [Indexed: 11/28/2022]
Abstract
Purpose Whether treating prostate cancer survivors with a depressive disorder with antidepressants can affect their cancer outcomes is unknown. We evaluated the association between antidepressant use and prostate cancer recurrence, in survivors with comorbid depressive disorders. Methods We conducted a longitudinal cohort study of 10,017 men with prostate cancer (stages I–II) diagnosed who also had a comorbid depressive disorder followed a maximum of 22 years, and examined rates of biochemical recurrence by antidepressant medication use. We conducted multivariable Cox models based on time-dependent antidepressant drug use status, and examined the risk of biochemical recurrence by cumulative duration of antidepressant use. Results Of these 10,017 survivors, 1842 (18%) experienced biochemical recurrence over 69,500 person-years of follow-up. The prostate cancer biochemical recurrence rate was greater with antidepressant non-use (31.3/1000 person-years) compared to antidepressant use (23.5/1000 person-years). In Cox proportional hazards multivariable adjusted models, non-use of antidepressants was associated with a 34% increased risk of biochemical recurrence compared to antidepressant use (HR = 1.34, 95% CI: 1.24–1.44). Longer use of antidepressants was associated with a lower biochemical recurrence risk (P trend test < 0.001). Conclusion Untreated depressive disorders in prostate cancer patients may be associated with an increased risk of biochemical recurrence.
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Affiliation(s)
- Reina Haque
- Department of Research & Evaluation, Kaiser Permanente Southern California, 100 South Los Robles, 2nd Floor, Pasadena, CA, 91101, USA. .,Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, 91101, USA.
| | - Stephanie Reading
- Department of Research & Evaluation, Kaiser Permanente Southern California, 100 South Los Robles, 2nd Floor, Pasadena, CA, 91101, USA
| | - Michael R Irwin
- Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Lie Hong Chen
- Department of Research & Evaluation, Kaiser Permanente Southern California, 100 South Los Robles, 2nd Floor, Pasadena, CA, 91101, USA
| | - Jeff Slezak
- Department of Research & Evaluation, Kaiser Permanente Southern California, 100 South Los Robles, 2nd Floor, Pasadena, CA, 91101, USA
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22
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Cong T, Hall AJ, Jia Z, Christiano A, Elsevier HCK, Cheung ZB, Wellman D, Forsh D, Lane JM. Conceptualizing Biological Aging and Frailty in Orthopaedics: A Framework for Clinical Practice. J Bone Joint Surg Am 2022; 104:1212-1222. [PMID: 35275895 DOI: 10.2106/jbjs.21.01053] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
➤ Biological aging can best be conceptualized clinically as a combination of 3 components: frailty, comorbidity, and disability. ➤ Despite advancements in the understanding of senescence, chronological age remains the best estimate of biological age. However, a useful exercise for practitioners is to look beyond chronological age in clinical and surgical decision-making. ➤ A chronologically aging person does not age biologically at the same rate. ➤ The best way to understand frailty is to consider it as a physical phenotype. ➤ Physical optimization should parallel medical optimization before elective surgery. ➤ The poorer the host (both in terms of bone quality and propensity for healing), the more robust the implant construct must be to minimize reliance on host biology.
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Affiliation(s)
- Ting Cong
- Department of Orthopaedic Surgery, Mount Sinai Hospital, New York, NY
| | - Arielle J Hall
- Rowan School of Osteopathic Medicine, Stratford, New Jersey
| | - Zhimeng Jia
- Temmy Latner Centre for Palliative Care, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Anthony Christiano
- Department of Orthopaedic Surgery, Hennepin Healthcare, Minneapolis, Minnesota
| | - Hannah C K Elsevier
- Department of Orthopaedic Surgery, University of California San Francisco, San Francisco, California
| | - Zoe B Cheung
- Department of Orthopaedic Surgery, University of California Davis, Davis, California
| | - David Wellman
- Department of Orthopaedic Surgery, Westchester Medical Center, Westchester, New York
| | - David Forsh
- Department of Orthopaedic Surgery, Mount Sinai Hospital, New York, NY
| | - Joseph M Lane
- Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY
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23
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Zhu X, Hollinger KR, Huang Y, Borjabad A, Kim BH, Arab T, Thomas AG, Moniruzzaman M, Lovell L, Turchinovich A, Witwer KW, Volsky DJ, Haughey NJ, Slusher BS. Neutral sphingomyelinase 2 inhibition attenuates extracellular vesicle release and improves neurobehavioral deficits in murine HIV. Neurobiol Dis 2022; 169:105734. [PMID: 35462006 PMCID: PMC9202342 DOI: 10.1016/j.nbd.2022.105734] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 03/22/2022] [Accepted: 04/13/2022] [Indexed: 01/11/2023] Open
Abstract
People living with HIV (PLH) have significantly higher rates of cognitive impairment (CI) and major depressive disorder (MDD) versus the general population. The enzyme neutral sphingomyelinase 2 (nSMase2) is involved in the biogenesis of ceramide and extracellular vesicles (EVs), both of which are dysregulated in PLH, CI, and MDD. Here we evaluated EcoHIV-infected mice for behavioral abnormalities relevant to depression and cognition deficits, and assessed the behavioral and biochemical effects of nSMase2 inhibition. Mice were infected with EcoHIV and daily treatment with either vehicle or the nSMase2 inhibitor (R)-(1-(3-(3,4-dimethoxyphenyl)-2,6-dimethylimidazo[1,2-b]pyridazin-8-yl)pyrrolidin-3-yl)-carbamate (PDDC) began 3 weeks post-infection. After 2 weeks of treatment, mice were subjected to behavior tests. EcoHIV-infected mice exhibited behavioral abnormalities relevant to MDD and CI that were reversed by PDDC treatment. EcoHIV infection significantly increased cortical brain nSMase2 activity, resulting in trend changes in sphingomyelin and ceramide levels that were normalized by PDDC treatment. EcoHIV-infected mice also exhibited increased levels of brain-derived EVs and altered microRNA cargo, including miR-183-5p, miR-200c-3p, miR-200b-3p, and miR-429-3p, known to be associated with MDD and CI; all were normalized by PDDC. In conclusion, inhibition of nSMase2 represents a possible new therapeutic strategy for the treatment of HIV-associated CI and MDD.
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Affiliation(s)
- Xiaolei Zhu
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kristen R Hollinger
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yiyao Huang
- Department of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alejandra Borjabad
- Department of Medicine, Infectious Diseases Division, Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - Boe-Hyun Kim
- Department of Medicine, Infectious Diseases Division, Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - Tanina Arab
- Department of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ajit G Thomas
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mohammed Moniruzzaman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lyndah Lovell
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrey Turchinovich
- Heidelberg Biolabs GmbH, Heidelberg, Germany; Division of Cancer Genome Research, German Cancer Research Center, Heidelberg, Germany
| | - Kenneth W Witwer
- Department of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David J Volsky
- Department of Medicine, Infectious Diseases Division, Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - Norman J Haughey
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Barbara S Slusher
- Johns Hopkins Drug Discovery, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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24
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Huang YC, Lin PY, Lee Y, Lee CY, Lo YC, Hung CF, Chen CS. Metabolic syndrome components and leukocyte telomere length in patients with major depressive disorder. World J Biol Psychiatry 2022; 23:483-492. [PMID: 34854357 DOI: 10.1080/15622975.2021.2013091] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVES The relationship between metabolic syndrome (MetS) components and leukocyte telomere length (LTL) attrition in major depressive disorder (MDD) remains unclear. METHODS We recruited 70 MDD patients (mean age: 44.6 years, 60.0% female) and 51 age- and sex-matched controls (mean age: 41.2 years, 68.6% female) to examine the associations of MetS components and LTL. Five MetS components-waist circumference, systolic/diastolic blood pressure, serum levels of fasting glucose, high-density lipoprotein cholesterol (HDL-C), and triglycerides-were assessed. LTL was measured through quantitative polymerase chain reaction. RESULTS MDD had higher prevalence of MetS (34.3 vs. 17.6%, p=.042), low HDL-C (25.7 vs. 7.8%, p=.009) and shorter LTL (-0.038 ± 0.169 vs. 0.033 ± 0.213, p=.042). Regression analysis revealed that MDD (p=.046) and age (p=.003) associated with LTL, while a significant interaction effect of group (MDD vs. controls) × HDL-C (p=.037) was observed. Post-hoc analysis showed MDD with low HDL-C had greater LTL attrition than controls without low HDL-C (p=.020). In MDD, HDL-C dysregulation negatively correlated with LTL (p=.010); but no significance after Bonferroni correction. CONCLUSIONS HDL-C may be involved in accelerated ageing process regarding metabolic disturbance in MDD only. The relationship merits prospective investigations with larger sample size for clarification.
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Affiliation(s)
- Yu-Chi Huang
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Pao-Yen Lin
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.,Institute for Translational Research in Biomedical Sciences, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Yu Lee
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chun-Yi Lee
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yi-Ching Lo
- Department of Pharmacology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chi-Fa Hung
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Cheng-Sheng Chen
- Department of Psychiatry, Kaohsiung Medical University Hospital and College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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25
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Abstract
Infection with SARS-CoV-2, the causative agent of the COVID-19 pandemic, originated in China and quickly spread across the globe. Despite tremendous economic and healthcare devastation, research on this virus has contributed to a better understanding of numerous molecular pathways, including those involving γ-aminobutyric acid (GABA), that will positively impact medical science, including neuropsychiatry, in the post-pandemic era. SARS-CoV-2 primarily enters the host cells through the renin–angiotensin system’s component named angiotensin-converting enzyme-2 (ACE-2). Among its many functions, this protein upregulates GABA, protecting not only the central nervous system but also the endothelia, the pancreas, and the gut microbiota. SARS-CoV-2 binding to ACE-2 usurps the neuronal and non-neuronal GABAergic systems, contributing to the high comorbidity of neuropsychiatric illness with gut dysbiosis and endothelial and metabolic dysfunctions. In this perspective article, we take a closer look at the pathology emerging from the viral hijacking of non-neuronal GABA and summarize potential interventions for restoring these systems.
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26
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Carroll JE, Olmstead R, Haque R, Irwin MR. Accelerated mononuclear cell telomere attrition in breast cancer survivors with depression history: A 2-year longitudinal cohort study. Cancer 2022; 128:3109-3119. [PMID: 35670038 DOI: 10.1002/cncr.34329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/11/2022] [Accepted: 05/09/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Cancer treatments are thought to accelerate biological aging, although this trajectory is highly variable. Depression is more prevalent in breast cancer survivors and is thought to be a vulnerability factor for biological aging. A lifetime history of depression and cumulative lifetime number of depression episodes could hypothetically be associated with an accelerated rate of biological aging as indexed by attrition of telomere length in a prospective cohort of breast cancer survivors who were not currently depressed. METHODS Breast cancer survivors (n = 206) without current depression were recruited from a large community-based health plan and were assessed for depression history by a structured diagnostic interview. Blood specimens were provided at baseline and every 8 months over 24 months to measure peripheral blood mononuclear cell (PBMC) telomere length. Mixed linear models examined associations of depression history and number of depression episodes with change in telomere length, adjusting for demographic, comorbidity, and cancer-specific factors. RESULTS In the fully adjusted model, depression history predicted attrition of PBMC telomere length over 24 months (Beta [SE] = -.006 [.002], p = .001). Greater number of depressive episodes over the lifetime was also associated with accelerated attrition of PBMC telomere length over 24 months (Beta [SE] = -.004 [.001], p = .001). CONCLUSIONS In breast cancer survivors without current depression, telomere attrition over 24 months was greatest in those with a lifetime depression history, particularly those with the greatest number of episodes of major depressive disorder over their lifetime. Depression history and its cumulative burden may contribute to accelerated biological aging, with implications for risk of morbidity and mortality in breast cancer survivors.
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Affiliation(s)
- Judith E Carroll
- Cousins Center for Psychoneuroimmunology, UCLA Jane & Terry Semel Institute for Neuroscience & Human Behavior and Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Richard Olmstead
- Cousins Center for Psychoneuroimmunology, UCLA Jane & Terry Semel Institute for Neuroscience & Human Behavior and Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Reina Haque
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA
| | - Michael R Irwin
- Cousins Center for Psychoneuroimmunology, UCLA Jane & Terry Semel Institute for Neuroscience & Human Behavior and Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
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27
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Bobo WV, Grossardt BR, Virani S, St Sauver JL, Boyd CM, Rocca WA. Association of Depression and Anxiety With the Accumulation of Chronic Conditions. JAMA Netw Open 2022; 5:e229817. [PMID: 35499825 PMCID: PMC9062691 DOI: 10.1001/jamanetworkopen.2022.9817] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
IMPORTANCE Longitudinal associations between comorbid depression and anxiety with the accumulation of chronic illnesses are unclear, and questions remain about the contributions associated with each condition in the increasing prevalence of multimorbidity. OBJECTIVE To compare the risk and rate of accumulating chronic conditions in people with depression, anxiety, and comorbid depression and anxiety vs individuals with neither depression nor anxiety. DESIGN, SETTING, AND PARTICIPANTS This cohort study used the Rochester Epidemiology Project medical records-linkage system to identify residents of Olmsted County, Minnesota, from January 1, 2005, to December 31, 2014, with follow-up ending December 31, 2017. The sample was divided into cohorts anchored at birthday ages of 20, 40, and 60 years. Individuals were classified at anchoring birthday age as having depression alone, anxiety alone, comorbid depression and anxiety, or neither depression nor anxiety (reference group), using electronically extracted diagnosis codes from the International Classification of Diseases, Ninth Revision (ICD-9) in the 5 years before each anchoring birthday. Data were analyzed from August 2020 through November 2021. EXPOSURES Depression alone, anxiety alone, comorbid depression and anxiety, or neither depression nor anxiety (reference group). MAIN OUTCOMES AND MEASURES The main outcome was sex-specific risk, calculated as hazard ratios (HRs) and rates of accumulation, calculated as mean annual incidence rates per 100 person-years, of 15 common chronic conditions within each birthday age cohort through the end of study. RESULTS Among the 40 360 individuals included across all 3 age cohorts, 21 516 (53.3%) were women. After balancing cohorts on race, Hispanic ethnicity, education level, body mass index, smoking status, and calendar year at index birthday, the risk of accumulating chronic conditions was significantly increased among women with depression alone (cohort aged 20 years: HR, 1.20 [95% CI, 1.02-1.42]; cohort aged 40 years: HR, 1.20 [95% CI, 1.10-1.31]; cohort aged 60 years: HR, 1.09 [95% CI, 1.02-1.16]) and women with comorbid depression and anxiety (cohort aged 20 years: HR, 1.60 [95% CI, 1.28-1.99]; cohort aged 40 years: HR, 1.41 [95% CI, 1.21-1.65]; cohort aged 60 years: HR, 1.29 [95% CI, 1.15-1.44]) compared with referent women in the same birthday cohorts and in men with comorbid depression and anxiety compared with referent men in the cohort aged 20 years (HR, 1.77 [95% CI, 1.08-2.91]). For women, the rates of accumulation of conditions were significantly higher across birthday cohorts in the comorbid depression and anxiety group compared with the depression alone group (eg, cohort aged 20 years: difference, 1.2 [95% CI, 0.2-2.1] per 100 person-years) and reference group (eg, cohort aged 20 years: difference, 1.7 [95% CI, 0.9-2.6] per 100 person-years). For men, compared with the reference group, the rates of accumulation of conditions were significantly higher in men with comorbid depression and anxiety in the cohort aged 20 years (difference, 1.4 [95% CI, 0.1-2.6] per 100 person-years) and in men with depression in the cohort aged 40 years (difference, 2.0 [95% CI, 0.8-3.2] per 100 person-years). CONCLUSIONS AND RELEVANCE In this cohort study, the risk of accumulating chronic conditions was increased with depression and comorbid depression and anxiety in women across the age span and in younger men with comorbid depression and anxiety. Compared with women without depression or anxiety, there was a more rapid rate of accumulation of chronic conditions in women with depression and anxiety individually and an even higher rate when depression and anxiety cooccurred.
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Affiliation(s)
- William V. Bobo
- Department of Psychiatry and Psychology, Mayo Clinic Florida, Jacksonville
| | - Brandon R. Grossardt
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Sanya Virani
- Department of Psychiatry and Human Behavior, Warren Alpert School of Medicine, Brown University, Providence, Rhode Island
| | - Jennifer L. St Sauver
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
- The Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota
| | - Cynthia M. Boyd
- Division of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Walter A. Rocca
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
- Women’s Health Research Center, Mayo Clinic, Rochester, Minnesota
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28
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Frailty measures in immuno-metabolic subtypes of late-life depression; A two-year prospective study. Arch Gerontol Geriatr 2022; 99:104603. [DOI: 10.1016/j.archger.2021.104603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 11/22/2021] [Accepted: 11/27/2021] [Indexed: 11/22/2022]
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29
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Cianciulli A, Calvello R, Ruggiero M, Panaro MA. Inflammaging and Brain: Curcumin and Its Beneficial Potential as Regulator of Microglia Activation. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27020341. [PMID: 35056657 PMCID: PMC8780663 DOI: 10.3390/molecules27020341] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/22/2021] [Accepted: 01/03/2022] [Indexed: 01/09/2023]
Abstract
Inflammaging is a term used to describe the tight relationship between low-grade chronic inflammation and aging that occurs during physiological aging in the absence of evident infection. This condition has been linked to a broad spectrum of age-related disorders in various organs including the brain. Inflammaging represents a highly significant risk factor for the development and progression of age-related conditions, including neurodegenerative diseases which are characterized by the progressive dysfunction and degeneration of neurons in the brain and peripheral nervous system. Curcumin is a widely studied polyphenol isolated from Curcuma longa with a variety of pharmacologic properties. It is well-known for its healing properties and has been extensively used in Asian medicine to treat a variety of illness conditions. The number of studies that suggest beneficial effects of curcumin on brain pathologies and age-related diseases is increasing. Curcumin is able to inhibit the formation of reactive-oxygen species and other pro-inflammatory mediators that are believed to play a pivotal role in many age-related diseases. Curcumin has been recently proposed as a potential useful remedy against neurodegenerative disorders and brain ageing. In light of this, our current review aims to discuss the potential positive effects of Curcumin on the possibility to control inflammaging emphasizing the possible modulation of inflammaging processes in neurodegenerative diseases.
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30
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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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31
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Chen Y, Zhou F, Lu W, Zeng W, Wang X, Xie J. Identification of potential Mitogen-Activated Protein Kinase-related key genes and regulation networks in molecular subtypes of major depressive disorder. Front Psychiatry 2022; 13:1004945. [PMID: 36339846 PMCID: PMC9634261 DOI: 10.3389/fpsyt.2022.1004945] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 10/07/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is a heterogeneous and prevalent mental disorder associated with increased morbidity, disability, and mortality. However, its underlying mechanisms remain unclear. MATERIALS AND METHODS All analyses were conducted based on integrated samples from the GEO database. Differential expression analysis, unsupervised consensus clustering analysis, enrichment analysis, and regulation network analysis were performed. RESULTS Mitogen-activated protein kinase (MAPK) signaling pathway was identified as an associated pathway in the development of MDD. From transcriptional signatures, we classified the MDD patients into two subgroups using unsupervised clustering and revealed 13 differential expression genes between subgroups, which indicates the probably relative complications. We further illustrated potential molecular mechanisms of MDD, including dysregulation in the neurotrophin signaling pathway, peptidyl-serine phosphorylation, and endocrine resistance. Moreover, we identified hub genes, including MAPK8, TP53, and HRAS in the maintenance of MDD. Furthermore, we demonstrated that the axis of miRNAs-TFs-HRAS/TP53/MAPK8 may play a critical role in MDD. CONCLUSION Taken together, we demonstrated an overview of MAPK-related key genes in MDD, determined two molecular subtypes, and identified the key genes and core network that may contribute to the procession of MDD.
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Affiliation(s)
- Youfang Chen
- Department of Thoracic Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, Guangdong, China
| | - Feng Zhou
- Department of Neurology, First People's Hospital of Foshan, Foshan, Guangdong, China
| | - Weicheng Lu
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, Guangdong, China
| | - Weian Zeng
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, Guangdong, China
| | - Xudong Wang
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, Guangdong, China
| | - Jingdun Xie
- Department of Anesthesiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation for Cancer Medicine, Guangzhou, Guangdong, China
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32
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Simon MS, Schiweck C, Arteaga-Henríquez G, Poletti S, Haarman BCM, Dik WA, Schwarz M, Vrieze E, Mikova O, Joergens S, Musil R, Claes S, Baune BT, Leboyer M, Benedetti F, Furlan R, Berghmans R, de Wit H, Wijkhuijs A, Arolt V, Müller N, Drexhage HA. Monocyte mitochondrial dysfunction, inflammaging, and inflammatory pyroptosis in major depression. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110391. [PMID: 34171401 DOI: 10.1016/j.pnpbp.2021.110391] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 06/07/2021] [Accepted: 06/17/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND The macrophage theory of depression states that macrophages play an important role in Major Depressive Disorder (MDD). METHODS MDD patients (N = 140) and healthy controls (N = 120) participated in a cross-sectional study investigating the expression of apoptosis/growth and lipid/cholesterol pathway genes (BAX, BCL10, EGR1, EGR2, HB-EGF, NR1H3, ABCA1, ABCG1, MVK, CD163, HMOX1) in monocytes (macrophage/microglia precursors). Gene expressions were correlated to a set of previously determined and reported inflammation-regulating genes and analyzed with respect to various clinical parameters. RESULTS MDD monocytes showed an overexpression of the apoptosis/growth/cholesterol and the TNF genes forming an inter-correlating gene cluster (cluster 3) separate from the previously described inflammation-related gene clusters (containing IL1 and IL6). While upregulation of monocyte gene cluster 3 was a hallmark of monocytes of all MDD patients, upregulation of the inflammation-related clusters was confirmed to be found only in the monocytes of patients with childhood adversity. The latter group also showed a downregulation of the cholesterol metabolism gene MVK, which is known to play an important role in trained immunity and proneness to inflammation. CONCLUSIONS The upregulation of cluster 3 genes in monocytes of all MDD patients suggests a premature aging of the cells, i.e. mitochondrial apoptotic dysfunction and TNF "inflammaging", as a general feature of MDD. The overexpression of the IL-1/IL-6 containing inflammation clusters and the downregulation of MVK in monocytes of patients with childhood adversity indicates a shift in this condition to a more severe inflammation form (pyroptosis) of the cells, additional to the signs of premature aging and inflammaging.
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Affiliation(s)
- Maria S Simon
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig-Maximilians-University, 80336 Munich, Germany.
| | - Carmen Schiweck
- Department of Neurosciences, Psychiatry Research Group, KUL University of Leuven, Leuven 3000, Belgium
| | - Gara Arteaga-Henríquez
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - Sara Poletti
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan 20125, Italy
| | - Bartholomeus C M Haarman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen 9713 GZ, Netherlands
| | - Wim A Dik
- Department of Immunology, Erasmus Medical Center, Rotterdam 3015 GD, Netherlands
| | - Markus Schwarz
- Institute of Laboratory Medicine, University Hospital, Ludwig-Maximilians-University, 81377 Munich, Germany
| | - Elske Vrieze
- Department of Neurosciences, Psychiatry Research Group, KUL University of Leuven, Leuven 3000, Belgium
| | - Olya Mikova
- Foundation Biological Psychiatry, Sofia, Bulgaria
| | - Silke Joergens
- Department of Mental Health, University of Münster, 48149 Münster, Germany
| | - Richard Musil
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - Stephan Claes
- Department of Neurosciences, Psychiatry Research Group, KUL University of Leuven, Leuven 3000, Belgium
| | - Bernhard T Baune
- Department of Mental Health, University of Münster, 48149 Münster, Germany
| | - Marion Leboyer
- Université Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, F-94010, Créteil, France; AP-HP, Hôpitaux Universitaires H. Mondor, DMU IMPACT, FHU ADAPT, F-94010, Créteil, France
| | - Francesco Benedetti
- Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, IRCCS San Raffaele Scientific Institute, Milan 20125, Italy
| | - Roberto Furlan
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology, IRCCS Ospedale San Raffaele, Milano 20132, Italy
| | - Raf Berghmans
- Advanced Practical Diagnostics BVBA, Turnhout 2300, Belgium
| | - Harm de Wit
- Department of Immunology, Erasmus Medical Center, Rotterdam 3015 GD, Netherlands
| | - Annemarie Wijkhuijs
- Department of Immunology, Erasmus Medical Center, Rotterdam 3015 GD, Netherlands; RMS, Rotterdam, Netherlands
| | - Volker Arolt
- Department of Mental Health, University of Münster, 48149 Münster, Germany
| | - Norbert Müller
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig-Maximilians-University, 80336 Munich, Germany
| | - Hemmo A Drexhage
- Department of Immunology, Erasmus Medical Center, Rotterdam 3015 GD, Netherlands
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33
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Decreased leucocyte telomere length in male patients with chronic bipolar disorder: lack of effect of long-term lithium treatment. Acta Neuropsychiatr 2021; 33:299-306. [PMID: 34369336 DOI: 10.1017/neu.2021.20] [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] [Indexed: 11/07/2022]
Abstract
OBJECTIVES Bipolar disorder (BD) may be connected with accelerated aging, the marker of this can be shorter telomere length (TL). Some data suggest that lithium may exert a protective effect against telomere shortening. The study aimed to compare the TL between patients with BD and control subjects. The effect of long-term lithium treatment was also assessed. METHODS The study group comprised 41 patients with BD, including 29 patients treated longitudinally with lithium (mean 16.5 years) and 20 healthy people. TL was assessed by the quantitative polymerase chain reaction (qPCR). RESULTS In the control group, the TL was significantly longer in males than in females. Male bipolar patients had significantly shorter TL compared with the control male group. In bipolar patients, there was no correlation between TL and duration of treatment. The TL was negatively correlated with age in male bipolar patients. CONCLUSIONS The study did not confirm the lithium effect on TL in bipolar patients. TL showed gender differences, being shorter in BD males, compared to control males, and longer in healthy males, compared to control females.
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34
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Increased telomerase activity in major depressive disorder with melancholic features: Possible role of pro-inflammatory cytokines and the brain-derived neurotrophic factor. Brain Behav Immun Health 2021; 14:100259. [PMID: 34589765 PMCID: PMC8474565 DOI: 10.1016/j.bbih.2021.100259] [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: 12/29/2020] [Revised: 04/11/2021] [Accepted: 04/13/2021] [Indexed: 01/10/2023] Open
Abstract
The biological mechanisms responsible for depression symptoms are not yet understood. For this reason, it is important to reveal the etiopathogenetic mechanisms in this disease. This study aims to compare the levels of pro-inflammatory cytokines, Brain-Derived Neurotrophic Factor (BDNF), and telomerase activity in patients with major depressive disorder (MDD) and healthy controls. Plasma BDNF, interleukin-6 (IL-6), IL-1beta, and Tumor Necrosis Factor-alpha (TNF-alpha) levels, and telomerase activity were measured in 39 patients with major depression and 39 healthy controls matched with patients in terms of age, gender, and education year. Plasma concentration of BDNF, IL-6 levels, and telomerase activity was significantly different between patients with MDD and healthy controls. Correlation analysis showed a positive trend between plasma BDNF levels and plasma IL-6 levels in patients with MDD with melancholic features. Furthermore, the path analysis results showed that the telomerase activity was indirectly affected by gender, IL-1β, IL-6, BDNF, and BMI, via the severity of depression and anxiety and MDD status as the mediators. Further studies are needed to examine the molecular mechanism of the telomerase activity and the role of BDNF and pro-inflammatory cytokines in the telomerase activation in MDD.
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35
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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: 123] [Impact Index Per Article: 41.0] [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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36
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Schroder JD, de Araújo JB, de Oliveira T, de Moura AB, Fries GR, Quevedo J, Réus GZ, Ignácio ZM. Telomeres: the role of shortening and senescence in major depressive disorder and its therapeutic implications. Rev Neurosci 2021; 33:227-255. [PMID: 34388328 DOI: 10.1515/revneuro-2021-0070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 07/17/2021] [Indexed: 11/15/2022]
Abstract
Major depressive disorder (MDD) is one of the most prevalent and debilitating psychiatric disorders, with a large number of patients not showing an effective therapeutic response to available treatments. Several biopsychosocial factors, such as stress in childhood and throughout life, and factors related to biological aging, may increase the susceptibility to MDD development. Included in critical biological processes related to aging and underlying biological mechanisms associated with MDD is the shortening of telomeres and changes in telomerase activity. This comprehensive review discusses studies that assessed the length of telomeres or telomerase activity and function in peripheral blood cells and brain tissues of MDD individuals. Also, results from in vitro protocols and animal models of stress and depressive-like behaviors were included. We also expand our discussion to include the role of telomere biology as it relates to other relevant biological mechanisms, such as the hypothalamic-pituitary-adrenal (HPA) axis, oxidative stress, inflammation, genetics, and epigenetic changes. In the text and the discussion, conflicting results in the literature were observed, especially considering the size of telomeres in the central nervous system, on which there are different protocols with divergent results in the literature. Finally, the context of this review is considering cell signaling, transcription factors, and neurotransmission, which are involved in MDD and can be underlying to senescence, telomere shortening, and telomerase functions.
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Affiliation(s)
- Jessica Daniela Schroder
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of the Southern Frontier, Rodovia SC 484 - Km 02, Fronteira Sul, Postal Code: 89815-899Chapecó, SC, Brazil
| | - Julia Beatrice de Araújo
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of the Southern Frontier, Rodovia SC 484 - Km 02, Fronteira Sul, Postal Code: 89815-899Chapecó, SC, Brazil
| | - Tacio de Oliveira
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of the Southern Frontier, Rodovia SC 484 - Km 02, Fronteira Sul, Postal Code: 89815-899Chapecó, SC, Brazil
| | - Airam Barbosa de Moura
- Laboratory of Translational Psychiatry, Graduate Program in Health Sciences, University of Southern Santa Catarina, Av. Universitária, 1105 - Bairro Universitário Postal Code: 88806-000Criciúma, SC, Brazil
| | - Gabriel Rodrigo Fries
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, Translational Psychiatry Program, The University of Texas Health Science Center at Houston (UTHealth), 1941 East Road BBSB 3142, Houston77054, TX, USA.,Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston (UTHealth), 1941 East Road, BBSB 3142, Houston77054, TX, USA.,Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 1941 East Road, BBSB 3142, Houston77054, TX, USA
| | - João Quevedo
- Laboratory of Translational Psychiatry, Graduate Program in Health Sciences, University of Southern Santa Catarina, Av. Universitária, 1105 - Bairro Universitário Postal Code: 88806-000Criciúma, SC, Brazil.,Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, Translational Psychiatry Program, The University of Texas Health Science Center at Houston (UTHealth), 1941 East Road BBSB 3142, Houston77054, TX, USA.,Neuroscience Graduate Program, Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston (UTHealth), 1941 East Road, BBSB 3142, Houston77054, TX, USA.,Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, Center of Excellence on Mood Disorders, The University of Texas Health Science Center at Houston (UTHealth), 1941 East Road, BBSB 3142, Houston77054, TX, USA
| | - Gislaine Zilli Réus
- Laboratory of Translational Psychiatry, Graduate Program in Health Sciences, University of Southern Santa Catarina, Av. Universitária, 1105 - Bairro Universitário Postal Code: 88806-000Criciúma, SC, Brazil
| | - Zuleide Maria Ignácio
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of the Southern Frontier, Rodovia SC 484 - Km 02, Fronteira Sul, Postal Code: 89815-899Chapecó, SC, Brazil.,Laboratory of Translational Psychiatry, Graduate Program in Health Sciences, University of Southern Santa Catarina, Av. Universitária, 1105 - Bairro Universitário Postal Code: 88806-000Criciúma, SC, Brazil
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Mendes-Silva AP, Vieira ELM, Xavier G, Barroso LSS, Bertola L, Martins EAR, Brietzke EM, Belangero SIN, Diniz BS. Telomere shortening in late-life depression: A potential marker of depression severity. Brain Behav 2021; 11:e2255. [PMID: 34152095 PMCID: PMC8413729 DOI: 10.1002/brb3.2255] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 05/07/2021] [Accepted: 06/05/2021] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVES Telomeres are structures at the extremity of chromosomes that prevents genomic instability, and its shortening seems to be a hallmark of cellular aging. Past studies have shown contradictory results of telomere length (TL) in major depression, and are a few studies in late-life depression (LLD). This explores the association between TL as a molecular marker of aging and diagnosis of LLD, the severity of depressive symptoms, and cognitive performance in older adults. METHODS/DESIGN We included 78 older adults (45 with LLD and 33 nondepressed controls, according to DSM-V criteria), aged 60-90 years. TL was measured in leukocytes by a quantitative polymerase chain reaction, determining the relative ratio (T/S) between the telomere region copy number (T) and a single copy gene (S), using a relative standard curve. RESULTS TL was significantly shorter in the LLD compared with control participants (p = .039). Comparing groups through the severity of depressive symptoms, we found a negative correlation with the severity of depressive symptoms (Hamilton Depression Rating Scale-21, r = -0.325, p = .004) and medical burden (r = -0.271, p = .038). There was no significant correlation between TL and cognitive performance (Mattis Dementia Rating Scale, r = 0.152, p = .21). CONCLUSIONS We found that older adults with LLD have shorter telomere than healthy controls, especially those with a more severe depressive episode. Our findings suggest that shorter TL can be a marker of the severity of depressive episodes in older adults and indicate that these individuals may be at higher risk of age-associated adverse outcomes linked to depression.
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Affiliation(s)
| | | | - Gabriela Xavier
- Department of Morphology and Genetics, Federal University of São Paulo, São Paulo, São Paulo, Brazil.,LINC-Interdisciplinary Laboratory of Clinical Neurosciences, Federal University of São Paulo, São Paulo, São Paulo, Brazil
| | - Lucelia Scarabeli Silva Barroso
- Graduate Program in Molecular Medicine, Federal University of Minas Gerais School of Medicine, Belo Horizonte, Minas Gerais, Brazil
| | - Laiss Bertola
- Graduate Program in Molecular Medicine, Federal University of Minas Gerais School of Medicine, Belo Horizonte, Minas Gerais, Brazil
| | - Efrem Augusto Ribeiro Martins
- Graduate Program in Molecular Medicine, Federal University of Minas Gerais School of Medicine, Belo Horizonte, Minas Gerais, Brazil
| | - Elisa Macedo Brietzke
- Department of Psychiatry, Queen's University School of Medicine, Kingston, Ontario, Canada.,Centre for Neuroscience Studies (CNS), Queen's University, Kingston, Ontario, Canada
| | - Sintia Iole Nogueira Belangero
- Department of Morphology and Genetics, Federal University of São Paulo, São Paulo, São Paulo, Brazil.,LINC-Interdisciplinary Laboratory of Clinical Neurosciences, Federal University of São Paulo, São Paulo, São Paulo, Brazil
| | - Breno Satler Diniz
- Centre for Addiction and Mental Health (CAMH), Toronto, Ontario, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,UConn Center on Aging, University of Connecticut Health Center, Farmington, Connecticut, USA.,Department of Psychiatry, University of Connecticut Health Center, Farmington, Connecticut, USA
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38
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Han LKM, Schnack HG, Brouwer RM, Veltman DJ, van der Wee NJA, van Tol MJ, Aghajani M, Penninx BWJH. Contributing factors to advanced brain aging in depression and anxiety disorders. Transl Psychiatry 2021; 11:402. [PMID: 34290222 PMCID: PMC8295382 DOI: 10.1038/s41398-021-01524-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 05/26/2021] [Accepted: 07/05/2021] [Indexed: 02/07/2023] Open
Abstract
Depression and anxiety are common and often comorbid mental health disorders that represent risk factors for aging-related conditions. Brain aging has shown to be more advanced in patients with major depressive disorder (MDD). Here, we extend prior work by investigating multivariate brain aging in patients with MDD, anxiety disorders, or both, and examine which factors contribute to older-appearing brains. Adults aged 18-57 years from the Netherlands Study of Depression and Anxiety underwent structural MRI. A pretrained brain-age prediction model based on >2000 samples from the ENIGMA consortium was applied to obtain brain-predicted age differences (brain PAD, predicted brain age minus chronological age) in 65 controls and 220 patients with current MDD and/or anxiety. Brain-PAD estimates were associated with clinical, somatic, lifestyle, and biological factors. After correcting for antidepressant use, brain PAD was significantly higher in MDD (+2.78 years, Cohen's d = 0.25, 95% CI -0.10-0.60) and anxiety patients (+2.91 years, Cohen's d = 0.27, 95% CI -0.08-0.61), compared with controls. There were no significant associations with lifestyle or biological stress systems. A multivariable model indicated unique contributions of higher severity of somatic depression symptoms (b = 4.21 years per unit increase on average sum score) and antidepressant use (-2.53 years) to brain PAD. Advanced brain aging in patients with MDD and anxiety was most strongly associated with somatic depressive symptomatology. We also present clinically relevant evidence for a potential neuroprotective antidepressant effect on the brain-PAD metric that requires follow-up in future research.
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Affiliation(s)
- Laura K. M. Han
- grid.484519.5Department of Psychiatry, Amsterdam University Medical Centers, Vrije Universiteit and GGZ inGeest, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Hugo G. Schnack
- grid.7692.a0000000090126352Department of Psychiatry, UMCU Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Rachel M. Brouwer
- grid.7692.a0000000090126352Department of Psychiatry, UMCU Brain Center, University Medical Center Utrecht, Utrecht, Netherlands ,grid.12380.380000 0004 1754 9227Department of Complex Trait Genetics, Centre for Neurogenomics and Cognitive Research, VU University, Amsterdam, The Netherlands
| | - Dick J. Veltman
- grid.484519.5Department of Psychiatry, Amsterdam University Medical Centers, Vrije Universiteit and GGZ inGeest, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Nic J. A. van der Wee
- grid.5132.50000 0001 2312 1970Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands ,grid.10419.3d0000000089452978Department of Psychiatry, University Medical Center Leiden, Leiden, The Netherlands
| | - Marie-José van Tol
- grid.4830.f0000 0004 0407 1981Cognitive Neuroscience Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Moji Aghajani
- grid.484519.5Department of Psychiatry, Amsterdam University Medical Centers, Vrije Universiteit and GGZ inGeest, Amsterdam Neuroscience, Amsterdam, The Netherlands ,grid.5132.50000 0001 2312 1970Institute of Education & Child Studies, Section Forensic Family & Youth Care, Leiden University, Leiden, The Netherlands
| | - Brenda W. J. H. Penninx
- grid.484519.5Department of Psychiatry, Amsterdam University Medical Centers, Vrije Universiteit and GGZ inGeest, Amsterdam Neuroscience, Amsterdam, The Netherlands
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Abel ME, Zhang X, Asah SM, Wolfinger A, McCullumsmith RE, O'Donovan SM. KEOPS complex expression in the frontal cortex in major depression and schizophrenia. World J Biol Psychiatry 2021; 22:446-455. [PMID: 32914678 PMCID: PMC8005497 DOI: 10.1080/15622975.2020.1821917] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 08/31/2020] [Accepted: 09/04/2020] [Indexed: 12/16/2022]
Abstract
OBJECTIVES Recently, the presence of a complete five subunit Kinase, Endopeptidase and Other Proteins of small Size (KEOPS) complex was confirmed in humans. The highly conserved KEOPS protein complex has established roles in tRNA modification, protein translation and telomere homeostasis in yeast, but little is known about KEOPS mRNA expression and function in human brain and disease. Here, we characterise KEOPS expression in post-mortem tissue from subjects diagnosed with major depression (MDD) and schizophrenia and assess whether KEOPS is associated with telomere length dysregulation in neuropsychiatric disorders. METHODS We assessed mRNA expression of KEOPS complex subunits TP53RK, TPRKB, GON7, LAGE3, OSGEP, and OSGEP mitochondrial ortholog OSGEPL1 in the dorsolateral prefrontal cortex (DLPFC) of subjects with MDD, schizophrenia and matched non-psychiatrically ill controls (n = 20 per group) using qPCR. We conducted bioinformatic analysis using Kaleidoscope, data mining post-mortem transcriptomic datasets to characterise KEOPS expression in human brain. Finally, we assayed relative telomere length in the DLPFC using a qPCR-based assay and carried out correlation analysis with KEOPS subunit mRNA expression to determine if the KEOPS complex is associated with telomere length dysregulation in neuropsychiatric disorders. RESULTS There were no significant changes in KEOPS mRNA expression in the DLPFC in MDD or schizophrenia compared to non-psychiatrically ill controls. Relative telomere length was not significantly altered in MDD or schizophrenia, nor was there an association between relative telomere length and KEOPS subunit gene expression in these subjects. CONCLUSIONS This study is the first to describe KEOPS complex expression in post-mortem brain and neuropsychiatric disorders. KEOPS subunit mRNA expression is not significantly altered in the DLPFC in MDD or schizophrenia. Unlike in yeast, the KEOPS complex does not appear to play a role in telomere length regulation in humans or in neuropsychiatric disorders.
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Affiliation(s)
- Mackenzie E Abel
- Department of Neuroscience, University of Toledo, Toledo, OH, USA
| | - Xiaolu Zhang
- Department of Neuroscience, University of Toledo, Toledo, OH, USA
| | - Sophie M Asah
- Department of Neuroscience, University of Toledo, Toledo, OH, USA
| | - Alyssa Wolfinger
- Department of Neuroscience, University of Toledo, Toledo, OH, USA
| | - Robert E McCullumsmith
- Department of Neuroscience, University of Toledo, Toledo, OH, USA
- Neurosciences Institute, Promedica, Toledo, OH, USA
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The Association of Individual Changes in Stressful Life Events and Telomere Length Over Time in Twins 50 Years and Older. Psychosom Med 2021; 82:614-622. [PMID: 32427758 DOI: 10.1097/psy.0000000000000826] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE Exposure to adverse stressors has been associated with shortening of leukocyte telomere length (LTL). The present longitudinal study investigates the time course of exposure to life events and LTL to determine whether increases in exposure to life events are related to subsequent accelerated LTL shortening. METHODS In the Swedish Adoption/Twin Study of Aging, we assessed late-life stressful events and LTL in 543 individual participants (mean age = 68.4 years, 40% men, including 48 complete monozygotic twin pairs and 167 complete dizygotic twin pairs) in up to five separate measurements over a period of 25 years. LTL was measured using quantitative polymerase chain reaction. Longitudinal analyses were conducted using time-varying mixed modeling, corrected for life-style factors and depressive symptoms. RESULTS When adjusting for differences in genetic makeup by looking only in monozygotic twins, we found that an increase in life stressors within an individual was related to decreased LTL over time (B = -0.02; 95% confidence interval = -0.04 to 0.01; p = .002). None of the findings were significant when only looking at dizygotic twins (all, p > .05). CONCLUSIONS Our findings in an older population show a causal relation between increase in life stress and accelerated LTL shortening by using intraindividual time-varying analysis.
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Pousa PA, Souza RM, Melo PHM, Correa BHM, Mendonça TSC, Simões-e-Silva AC, Miranda DM. Telomere Shortening and Psychiatric Disorders: A Systematic Review. Cells 2021; 10:1423. [PMID: 34200513 PMCID: PMC8227190 DOI: 10.3390/cells10061423] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 05/28/2021] [Accepted: 05/31/2021] [Indexed: 12/23/2022] Open
Abstract
Telomeres are aging biomarkers, as they shorten while cells undergo mitosis. The aim of this study was to evaluate whether psychiatric disorders marked by psychological distress lead to alterations to telomere length (TL), corroborating the hypothesis that mental disorders might have a deeper impact on our physiology and aging than it was previously thought. A systematic search of the literature using MeSH descriptors of psychological distress ("Traumatic Stress Disorder" or "Anxiety Disorder" or "depression") and telomere length ("cellular senescence", "oxidative stress" and "telomere") was conducted on PubMed, Cochrane Library and ScienceDirect databases. A total of 56 studies (113,699 patients) measured the TL from individuals diagnosed with anxiety, depression and posttraumatic disorders and compared them with those from healthy subjects. Overall, TL negatively associates with distress-related mental disorders. The possible underlying molecular mechanisms that underly psychiatric diseases to telomere shortening include oxidative stress, inflammation and mitochondrial dysfunction linking. It is still unclear whether psychological distress is either a cause or a consequence of telomere shortening.
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Affiliation(s)
- Pedro A. Pousa
- Interdisciplinary Laboratory of Medical Investigation, Faculty of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais 30130-100, Brazil; (P.A.P.); (R.M.S.); (P.H.M.M.); (B.H.M.C.); (T.S.C.M.); (A.C.S.-e.-S.)
| | - Raquel M. Souza
- Interdisciplinary Laboratory of Medical Investigation, Faculty of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais 30130-100, Brazil; (P.A.P.); (R.M.S.); (P.H.M.M.); (B.H.M.C.); (T.S.C.M.); (A.C.S.-e.-S.)
| | - Paulo Henrique M. Melo
- Interdisciplinary Laboratory of Medical Investigation, Faculty of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais 30130-100, Brazil; (P.A.P.); (R.M.S.); (P.H.M.M.); (B.H.M.C.); (T.S.C.M.); (A.C.S.-e.-S.)
| | - Bernardo H. M. Correa
- Interdisciplinary Laboratory of Medical Investigation, Faculty of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais 30130-100, Brazil; (P.A.P.); (R.M.S.); (P.H.M.M.); (B.H.M.C.); (T.S.C.M.); (A.C.S.-e.-S.)
| | - Tamires S. C. Mendonça
- Interdisciplinary Laboratory of Medical Investigation, Faculty of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais 30130-100, Brazil; (P.A.P.); (R.M.S.); (P.H.M.M.); (B.H.M.C.); (T.S.C.M.); (A.C.S.-e.-S.)
| | - Ana Cristina Simões-e-Silva
- Interdisciplinary Laboratory of Medical Investigation, Faculty of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Minas Gerais 30130-100, Brazil; (P.A.P.); (R.M.S.); (P.H.M.M.); (B.H.M.C.); (T.S.C.M.); (A.C.S.-e.-S.)
| | - Débora M. Miranda
- Department of Pediatrics, Laboratory of Molecular Medicine, UFMG, Belo Horizonte, Minas Gerais 30130-100, Brazil
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Telomere Length and Oxidative Stress in Patients with ST-Segment Elevation and Non-ST-Segment Elevation Myocardial Infarction. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1347:183-195. [PMID: 33959889 DOI: 10.1007/5584_2021_638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
PURPOSE The telomere length is shown to act as a biomarker, especially for biological aging and cardiovascular diseases, and it is also suggested that with this correlation, increased exposure to the oxidative stress accelerates the vascular aging process. Therefore, this study aims to understand the correlation between the plasma oxidative stress index (OSI) status and leukocyte telomere length (LTL) and cardiologic parameters between the ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) groups. METHOD One hundred one newly diagnosed patients with STEMI (n = 55) and NSTEMI (n = 46) were included in the study, along with 100 healthy controls who matched the patients in terms of age and gender. Plasma total antioxidant status (TAS), total oxidant status (TOS), and LTL were measured. RESULTS When LTL, TAS, TOS, and OSI values were evaluated between the patient and control group, OSI (p = 0.000) and LTL (p = 0.05) values were statistically significant in the patient group compared to the control group. Evaluation was conducted to understand whether there is a difference between the STEMI and NSTEMI groups. The plasma OSI (p = 0.007) and LTL (p = 0.05) were found to be significantly lower in STEMI patients. However, LTL and OSI results were not statistically significant in NSTEMI patients. CONCLUSION This is the first study evaluating telomere length and oxidative stress in STEMI and NSTEMI patients in Turkey. Our results support the existence of short telomere length in STEMI patients. Future studies on telomere length and oxidative stress will support the importance of our findings.
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Vyas CM, Ogata S, Reynolds CF, Mischoulon D, Chang G, Cook NR, Manson JE, Crous-Bou M, De Vivo I, Okereke OI. Telomere length and its relationships with lifestyle and behavioural factors: variations by sex and race/ethnicity. Age Ageing 2021; 50:838-846. [PMID: 33001148 DOI: 10.1093/ageing/afaa186] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Adherence to healthy lifestyles/behaviours promotes healthy ageing. However, little is known about whether age, sex and/or race/ethnicity moderate associations of lifestyle/behavioural factors with relative telomere length (RTL), a potential biomarker of ageing. METHODS We included 749 midlife to older non-Hispanic White (n = 254), Black (n = 248) and Hispanic (n = 247) US participants [mean (standard deviation) age = 69.3 (7.2) years; women: 50.5%]. We extracted genomic DNA from peripheral leucocytes. RTL was assayed using real-time quantitative polymerase chain reaction. Multivariable regression was used to examine associations between lifestyle/behavioural exposures (i.e. physical activity, alcohol consumption, smoking and depression) with RTL. RESULTS Increasing chronological age was associated with shorter RTL (P < 0.01). Higher physical activity was associated with longer RTL (P-trend = 0.03); daily versus never/rare alcohol consumption and 30+ versus <5 smoking pack-year were associated with shorter RTLs (P-trend = 0.02). Associations varied significantly by sex and race/ethnicity. The association between physical activity and longer RTL appeared strongest among non-Hispanic Whites (P-interaction = 0.01). Compared to men, women had stronger associations between heavy smoking and shorter RTLs (P-interaction = 0.03). Light/moderate alcohol consumption (monthly/weekly) was associated with longer RTL among non-Hispanic Whites, while daily consumption was related to shorter RTLs among Blacks and Hispanics (P-interactions < 0.01). Associations of daily alcohol and heavy smoking with shorter RTLs were particularly apparent among Black women. CONCLUSION We observed novel variations by sex and race/ethnicity in associations between lifestyle/behavioural factors and RTL. Further work is needed to replicate these findings and to address potential public health implications for modifying strategies by sex or across racial/ethnic groups to optimise lifestyles/behaviours for healthy ageing.
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Affiliation(s)
- Chirag M Vyas
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Soshiro Ogata
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Faculty of Nursing, School of Health Science, Fujita Health University, Toyoake, Japan
- Department of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Charles F Reynolds
- Department of Psychiatry, UPMC and University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - David Mischoulon
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Grace Chang
- Department of Psychiatry, VA Boston Healthcare System and Harvard Medical School, Boston, MA, USA
| | - Nancy R Cook
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Marta Crous-Bou
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- BarcelonaBeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Department of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO) - Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Immaculata De Vivo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Olivia I Okereke
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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Han S, Chen Y, Zheng R, Li S, Jiang Y, Wang C, Fang K, Yang Z, Liu L, Zhou B, Wei Y, Pang J, Li H, Zhang Y, Cheng J. The stage-specifically accelerated brain aging in never-treated first-episode patients with depression. Hum Brain Mapp 2021; 42:3656-3666. [PMID: 33932251 PMCID: PMC8249899 DOI: 10.1002/hbm.25460] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 04/02/2021] [Accepted: 04/15/2021] [Indexed: 12/29/2022] Open
Abstract
Depression associated with structural brain abnormalities is hypothesized to be related with accelerated brain aging. However, there is far from a unified conclusion because of clinical variations such as medication status, cumulative illness burden. To explore whether brain age is accelerated in never‐treated first‐episode patients with depression and its association with clinical characteristics, we constructed a prediction model where gray matter volumes measured by voxel‐based morphometry derived from T1‐weighted MRI scans were treated as features. The prediction model was first validated using healthy controls (HCs) in two Chinese Han datasets (Dataset 1, N = 130 for HCs and N = 195 for patients with depression; Dataset 2, N = 270 for HCs) separately or jointly, then the trained prediction model using HCs (N = 400) was applied to never‐treated first‐episode patients with depression (N = 195). The brain‐predicted age difference (brain‐PAD) scores defined as the difference between predicted brain age and chronological age, were calculated for all participants and compared between patients with age‐, gender‐, educational level‐matched HCs in Dataset 1. Overall, patients presented higher brain‐PAD scores suggesting patients with depression having an “older” brain than expected. More specially, this difference occurred at illness onset (illness duration <3 months) and following 2 years then disappeared as the illness further advanced (>2 years) in patients. This phenomenon was verified by another data‐driven method and significant correlation between brain‐PAD scores and illness duration in patients. Our results reveal that accelerated brain aging occurs at illness onset and suggest it is a stage‐dependent phenomenon in depression.
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Affiliation(s)
- Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China.,Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China.,Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China.,Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China.,Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China.,Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China.,Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China.,Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China.,Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China.,Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China.,Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China.,Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China.,Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
| | - Shuying Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yu Jiang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China.,Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China.,Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China.,Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China.,Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
| | - Caihong Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China.,Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China.,Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China.,Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China.,Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
| | - Keke Fang
- Phase I Clinical Research Center, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Zhengui Yang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China.,Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China.,Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China.,Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China.,Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
| | - Liang Liu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China.,Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China.,Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China.,Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China.,Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
| | - Bingqian Zhou
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China.,Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China.,Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China.,Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China.,Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China.,Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China.,Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China.,Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China.,Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
| | - Jianyue Pang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hengfen Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China.,Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China.,Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China.,Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China.,Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China.,Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, Zhengzhou, China.,Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, Zhengzhou, China.,Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, Zhengzhou, China.,Key Laboratory of Imaging Intelligence Research Medicine of Henan Province
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Rackova L, Mach M, Brnoliakova Z. An update in toxicology of ageing. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2021; 84:103611. [PMID: 33581363 DOI: 10.1016/j.etap.2021.103611] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 01/17/2021] [Accepted: 02/03/2021] [Indexed: 06/12/2023]
Abstract
The field of ageing research has been rapidly advancing in recent decades and it had provided insight into the complexity of ageing phenomenon. However, as the organism-environment interaction appears to significantly affect the organismal pace of ageing, the systematic approach for gerontogenic risk assessment of environmental factors has yet to be established. This puts demand on development of effective biomarker of ageing, as a relevant tool to quantify effects of gerontogenic exposures, contingent on multidisciplinary research approach. Here we review the current knowledge regarding the main endogenous gerontogenic pathways involved in acceleration of ageing through environmental exposures. These include inflammatory and oxidative stress-triggered processes, dysregulation of maintenance of cellular anabolism and catabolism and loss of protein homeostasis. The most effective biomarkers showing specificity and relevancy to ageing phenotypes are summarized, as well. The crucial part of this review was dedicated to the comprehensive overview of environmental gerontogens including various types of radiation, certain types of pesticides, heavy metals, drugs and addictive substances, unhealthy dietary patterns, and sedentary life as well as psychosocial stress. The reported effects in vitro and in vivo of both recognized and potential gerontogens are described with respect to the up-to-date knowledge in geroscience. Finally, hormetic and ageing decelerating effects of environmental factors are briefly discussed, as well.
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Affiliation(s)
- Lucia Rackova
- Institute of Experimental Pharmacology and Toxicology, Centre of Experimental Medicine, Slovak Academy of Sciences, Dubravska cesta 9, 841 04 Bratislava, Slovakia.
| | - Mojmir Mach
- Institute of Experimental Pharmacology and Toxicology, Centre of Experimental Medicine, Slovak Academy of Sciences, Dubravska cesta 9, 841 04 Bratislava, Slovakia
| | - Zuzana Brnoliakova
- Institute of Experimental Pharmacology and Toxicology, Centre of Experimental Medicine, Slovak Academy of Sciences, Dubravska cesta 9, 841 04 Bratislava, Slovakia
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Abstract
Objective: Previous research examining telomeres in individuals with neuropsychiatric disorders shows that greater illness, symptoms, or cognitive impairment are linked with shorter telomeres. However, the relationships of telomere length and neuropsychological processes or psychiatric symptoms are not understood in individuals with Attention Deficit/Hyperactivity Disorder (ADHD). Method: 390 young adults with and without ADHD completed a multi-informant diagnostic assessment and neuropsychological testing battery. Participant DNA was isolated from saliva samples, and telomere length was determined using qPCR. Results: Linear regression models demonstrated the only significant association to survive correction for multiple testing was for childhood hyperactivity-impulsivity symptoms and longer telomere length. Conclusion: Contrary to expectations, longer telomere length in young adults was associated only with childhood ADHD symptoms, particularly hyperactivity-impulsivity, in this sample. These findings are an important demonstration that the neuropsychological deficits and symptoms experienced by individuals diagnosed with ADHD during adulthood may not be negatively associated with telomere length.
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Affiliation(s)
- Allison M. Momany
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA
| | - Stephanie Lussier
- Department of Psychiatry, Carver College of Medicine, and Iowa Neuroscience Institute, University of Iowa, Iowa City, IA
| | - Molly A. Nikolas
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA
| | - Hanna Stevens
- Department of Psychiatry, Carver College of Medicine, and Iowa Neuroscience Institute, University of Iowa, Iowa City, IA
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Ter Meulen WG, Draisma S, van Hemert AM, Schoevers RA, Kupka RW, Beekman ATF, Penninx BWJH. Depressive and anxiety disorders in concert-A synthesis of findings on comorbidity in the NESDA study. J Affect Disord 2021; 284:85-97. [PMID: 33588240 DOI: 10.1016/j.jad.2021.02.004] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/25/2021] [Accepted: 02/01/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Comorbidity of depressive and anxiety disorders is common and remains incompletely comprehended. This paper summarizes findings from the Netherlands Study of Depression and Anxiety (NESDA) regarding prevalence, temporal sequence, course and longitudinal patterns; sociodemographic, vulnerability and neurobiological indicators; and functional, somatic and mental health indicators of comorbidity. METHODS Narrative synthesis of earlier NESDA based papers on comorbidity (n=76). RESULTS Comorbidity was the rule in over three-quarter of subjects with depressive and/or anxiety disorders, most often preceded by an anxiety disorder. Higher severity and chronicity characterized a poorer comorbidity course. Over time, transitions between depressive and anxiety disorders were common. Consistent comorbidity risk indicators in subjects with depressive and anxiety disorders were childhood trauma, neuroticism and early age of onset. Psychological vulnerabilities, such as trait avoidance tendencies, were more pronounced in comorbid than in single disorders. In general, there were few differences in biological markers and neuroimaging findings between persons with comorbid versus single disorders. Most functional, somatic, and other mental health indicators, ranging from disability to cardiovascular and psychiatric multimorbidity, were highest in comorbid disorders. LIMITATIONS The observational design of NESDA limits causal inference. Attrition was higher in comorbid relative to single disorders. CONCLUSIONS As compared to single disorders, persons with comorbid depressive and anxiety disorders were characterized by more psychosocial risk determinants, more somatic and other psychiatric morbidities, more functional impairments, and poorer outcome. These results justify specific attention for comorbidity of depressive and anxiety disorders, particularly in treatment settings.
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Affiliation(s)
- Wendela G Ter Meulen
- Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Public Health, Amsterdam, The Netherlands & GGZ inGeest Specialized Mental Health Care, Research and Innovation, Amsterdam, the Netherlands; GGZ inGeest Specialized Mental Health Care, Research and Innovation, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands.
| | - Stasja Draisma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Public Health, Amsterdam, The Netherlands & GGZ inGeest Specialized Mental Health Care, Research and Innovation, Amsterdam, the Netherlands; GGZ inGeest Specialized Mental Health Care, Research and Innovation, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands.
| | - Albert M van Hemert
- Leiden University, Leiden University Medical Centre, Department of Psychiatry, Leiden, the Netherlands.
| | - Robert A Schoevers
- University of Groningen, University Medical Center Groningen, Department of Psychiatry, Research School of Behavioral and Cognitive Neurosciences (BCN), Groningen, the Netherlands.
| | - Ralph W Kupka
- Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Public Health, Amsterdam, The Netherlands & GGZ inGeest Specialized Mental Health Care, Research and Innovation, Amsterdam, the Netherlands; GGZ inGeest Specialized Mental Health Care, Research and Innovation, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands.
| | - Aartjan T F Beekman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Public Health, Amsterdam, The Netherlands & GGZ inGeest Specialized Mental Health Care, Research and Innovation, Amsterdam, the Netherlands; GGZ inGeest Specialized Mental Health Care, Research and Innovation, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands.
| | - Brenda W J H Penninx
- Amsterdam UMC, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Public Health, Amsterdam, The Netherlands & GGZ inGeest Specialized Mental Health Care, Research and Innovation, Amsterdam, the Netherlands; GGZ inGeest Specialized Mental Health Care, Research and Innovation, Oldenaller 1, 1081 HJ Amsterdam, the Netherlands.
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48
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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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49
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Jansen R, Han LKM, Verhoeven JE, Aberg KA, van den Oord ECGJ, Milaneschi Y, Penninx BWJH. An integrative study of five biological clocks in somatic and mental health. eLife 2021; 10:e59479. [PMID: 33558008 PMCID: PMC7872513 DOI: 10.7554/elife.59479] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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 NeuroscienceAmsterdamNetherlands
| | - Laura KM Han
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam NeuroscienceAmsterdamNetherlands
| | - Josine E Verhoeven
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam NeuroscienceAmsterdamNetherlands
| | - Karolina A Aberg
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth UniversityRichmondUnited States
| | - Edwin CGJ van den Oord
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth UniversityRichmondUnited States
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam NeuroscienceAmsterdamNetherlands
| | - Brenda WJH Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam NeuroscienceAmsterdamNetherlands
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50
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Bobo WV, Ryu E, Petterson TM, Lackore K, Cheng Y, Liu H, Suarez L, Preisig M, Cooper LT, Roger VL, Pathak J, Chamberlain AM. Bi-directional association between depression and HF: An electronic health records-based cohort study. JOURNAL OF COMORBIDITY 2021; 10:2235042X20984059. [PMID: 33489926 PMCID: PMC7768856 DOI: 10.1177/2235042x20984059] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 11/21/2020] [Accepted: 12/05/2020] [Indexed: 11/16/2022]
Abstract
Objective: To determine whether a bi-directional relationship exists between depression and HF within a single population of individuals receiving primary care services, using longitudinal electronic health records (EHRs). Methods: This retrospective cohort study utilized EHRs for adults who received primary care services within a large healthcare system in 2006. Validated EHR-based algorithms identified 10,649 people with depression (depression cohort) and 5,911 people with HF (HF cohort) between January 1, 2006 and December 31, 2018. Each person with depression or HF was matched 1:1 with an unaffected referent on age, sex, and outpatient service use. Each cohort (with their matched referents) was followed up electronically to identify newly diagnosed HF (in the depression cohort) and depression (in the HF cohort) that occurred after the index diagnosis of depression or HF, respectively. The risks of these outcomes were compared (vs. referents) using marginal Cox proportional hazard models adjusted for 16 comorbid chronic conditions. Results: 2,024 occurrences of newly diagnosed HF were observed in the depression cohort and 944 occurrences of newly diagnosed depression were observed in the HF cohort over approximately 4–6 years of follow-up. People with depression had significantly increased risk for developing newly diagnosed HF (HR 2.08, 95% CI 1.89–2.28) and people with HF had a significantly increased risk of newly diagnosed depression (HR 1.34, 95% CI 1.17–1.54) after adjusting for all 16 comorbid chronic conditions. Conclusion: These results provide evidence of a bi-directional relationship between depression and HF independently of age, sex, and multimorbidity from chronic illnesses.
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Affiliation(s)
- William V Bobo
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA
| | - Euijung Ryu
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Tanya M Petterson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Kandace Lackore
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Yijing Cheng
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Hongfang Liu
- Division of Digital Health Science, Mayo Clinic, Rochester, MN, USA
| | - Laura Suarez
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Martin Preisig
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Leslie T Cooper
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - Veronique L Roger
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.,Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Jyotishman Pathak
- Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA.,Department of Population Health Sciences, Weill Cornell Medicine, NY, NY, USA
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