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Dammering F, Martins J, Dittrich K, Czamara D, Rex-Haffner M, Overfeld J, de Punder K, Buss C, Entringer S, Winter SM, Binder EB, Heim C. The pediatric buccal epigenetic clock identifies significant ageing acceleration in children with internalizing disorder and maltreatment exposure. Neurobiol Stress 2021; 15:100394. [PMID: 34621920 PMCID: PMC8482287 DOI: 10.1016/j.ynstr.2021.100394] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/26/2021] [Accepted: 09/09/2021] [Indexed: 01/15/2023] Open
Abstract
Background Studies reporting accelerated ageing in children with affective disorders or maltreatment exposure have relied on algorithms for estimating epigenetic age derived from adult samples. These algorithms have limited validity for epigenetic age estimation during early development. We here use a pediatric buccal epigenetic (PedBE) clock to predict DNA methylation-based ageing deviation in children with and without internalizing disorder and assess the moderating effect of maltreatment exposure. We further conduct a gene set enrichment analysis to assess the contribution of glucocorticoid signaling to PedBE clock-based results. Method DNA was isolated from saliva of 158 children [73 girls, 85 boys; mean age (SD) = 4.25 (0.8) years] including children with internalizing disorder and maltreatment exposure. Epigenetic age was estimated based on DNA methylation across 94 CpGs of the PedBE clock. Residuals of epigenetic age regressed against chronological age were contrasted between children with and without internalizing disorder. Maltreatment was coded in 3 severity levels and entered in a moderation model. Genome-wide dexamethasone-responsive CpGs were derived from an independent sample and enrichment of these CpGs within the PedBE clock was identified. Results Children with internalizing disorder exhibited significant acceleration of epigenetic ageing as compared to children without internalizing disorder (F1,147 = 6.67, p = .011). This association was significantly moderated by maltreatment severity (b = 0.49, 95% CI [0.073, 0.909], t = 2.322, p = .022). Children with internalizing disorder who had experienced maltreatment exhibited ageing acceleration relative to children with no internalizing disorder (1–2 categories: b = 0.50, 95% CI [0.170, 0.821], t = 3.008, p = .003; 3 or more categories: b = 0.99, 95% CI [0.380, 1.593], t = 3.215, p = .002). Children with internalizing disorder who were not exposed to maltreatment did not show epigenetic ageing acceleration. There was significant enrichment of dexamethasone-responsive CpGs within the PedBE clock (OR = 4.36, p = 1.65*10–6). Among the 94 CpGs of the PedBE clock, 18 (19%) were responsive to dexamethasone. Conclusion Using the novel PedBE clock, we show that internalizing disorder is associated with accelerated epigenetic ageing in early childhood. This association is moderated by maltreatment severity and may, in part, be driven by glucocorticoids. Identifying developmental drivers of accelerated epigenetic ageing after maltreatment will be critical to devise early targeted interventions.
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Affiliation(s)
- Felix Dammering
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany
| | - Jade Martins
- Dept. of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Katja Dittrich
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Dept. of Child & Adolescent Psychiatry, Psychotherapy, and Psychosomatics, Berlin, Germany
| | - Darina Czamara
- Dept. of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Monika Rex-Haffner
- Dept. of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Judith Overfeld
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany
| | - Karin de Punder
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany
| | - Claudia Buss
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany.,University of California, Irvine, Development, Health, and Disease Research Program, Orange, CA, USA
| | - Sonja Entringer
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany.,University of California, Irvine, Development, Health, and Disease Research Program, Orange, CA, USA
| | - Sibylle M Winter
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Dept. of Child & Adolescent Psychiatry, Psychotherapy, and Psychosomatics, Berlin, Germany
| | - Elisabeth B Binder
- Dept. of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Christine Heim
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Psychology, Berlin, Germany.,Dept. of Biobehavioral Health, The Pennsylvania State University, University Park, PA, USA
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Bazaz MR, Balasubramanian R, Monroy-Jaramillo N, Dandekar MP. Linking the Triad of Telomere Length, Inflammation, and Gut Dysbiosis in the Manifestation of Depression. ACS Chem Neurosci 2021; 12:3516-3526. [PMID: 34547897 DOI: 10.1021/acschemneuro.1c00457] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Telomere length is an indispensable marker for cellular and biological aging, and it also represents an individual's physical and mental health status. Telomere shortening has been observed in chronic inflammatory conditions, which in turn accelerates aging and risk for psychiatric disorders, including depression. Considering the influence of inflammation and telomere shortening on the gut-brain axis, herein we describe a plausible interplay between telomere attrition, inflammation, and gut dysbiosis in the neurobiology of depression. Telomere shortening and hyperinflammation are well reported in depression. A negative impact of augmented inflammation has been noted on the intestinal permeability and microbial consortia and their byproducts in depressive patients. Moreover, gut dysbiosis provokes host-immune responses. As the gut microbiome is gaining importance in the manifestation and management of depression, herein we discuss whether telomere attrition is connected with the perturbation of commensal microflora. We also describe a pathological connection of cortisol with hyperinflammation, telomere shortening, and gut dysbiosis occurring in depression. This review summarizes how the triad of telomere attrition, inflammation, and gut dysbiosis is interconnected and modulates the risk for depression by regulating the systemic cortisol levels.
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Affiliation(s)
- Mohd Rabi Bazaz
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, India, 500037
| | - Ramya Balasubramanian
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, India, 500037
| | - Nancy Monroy-Jaramillo
- Department of Genetics, National Institute of Neurology and Neurosurgery Manuel Velasco Suárez (NINN), Mexico City, Mexico, 14269
| | - Manoj P. Dandekar
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, India, 500037
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Aging biological markers in a cohort of antipsychotic-naïve first-episode psychosis patients. Psychoneuroendocrinology 2021; 132:105350. [PMID: 34271521 DOI: 10.1016/j.psyneuen.2021.105350] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 06/29/2021] [Accepted: 06/30/2021] [Indexed: 11/21/2022]
Abstract
Schizophrenia is a severe and multifactorial disorder with an unknown causative pathophysiology. Abnormalities in neurodevelopmental and aging processes have been reported. Relative telomere length (RTL) and DNA methylation age (DMA), well-known biomarkers for estimating biological age, are both commonly altered in patients with schizophrenia compared to healthy controls. However, few studies investigated these aging biomarkers in first-episode psychosis (FEP) and in antipsychotic-naïve patients. To cover the existing gap regarding DMA and RTL in FEP and antipsychotic treatment, we aimed to verify whether those aging markers could be associated with psychosis and treatment response. Thus, we evaluated these measures in the blood of FEP antipsychotic-naïve patients and healthy controls (HC), as well as the response to antipsychotics after 10 weeks of treatment with risperidone. RTL was measured in 392 subjects, being 80 FEP and 312 HC using qPCR, while DMA was analyzed in a subset of 60 HC, 60 FEP patients (antipsychotic-naïve) and 59 FEP-10W (after treatment) using the "Multi-tissue Predictor"and the Infinium HumanMethylation450 BeadChip Kit. We observed diminished DMA and longer RTL in FEP patients before treatment compared to healthy controls, indicating a decelerated aging process in those patients. We found no statistical difference between responder and non-responder patients at baseline for both markers. An increased DMA was observed in patients after 10 weeks of treatment, however, after adjusting for blood cell composition, no significant association remained. Our findings indicate a decelerated aging process in the early phases of the disease.
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Han LKM, Dinga R, Hahn T, Ching CRK, Eyler LT, Aftanas L, Aghajani M, Aleman A, Baune BT, Berger K, Brak I, Filho GB, Carballedo A, Connolly CG, Couvy-Duchesne B, Cullen KR, Dannlowski U, Davey CG, Dima D, Duran FLS, Enneking V, Filimonova E, Frenzel S, Frodl T, Fu CHY, Godlewska BR, Gotlib IH, Grabe HJ, Groenewold NA, Grotegerd D, Gruber O, Hall GB, Harrison BJ, Hatton SN, Hermesdorf M, Hickie IB, Ho TC, Hosten N, Jansen A, Kähler C, Kircher T, Klimes-Dougan B, Krämer B, Krug A, Lagopoulos J, Leenings R, MacMaster FP, MacQueen G, McIntosh A, McLellan Q, McMahon KL, Medland SE, Mueller BA, Mwangi B, Osipov E, Portella MJ, Pozzi E, Reneman L, Repple J, Rosa PGP, Sacchet MD, Sämann PG, Schnell K, Schrantee A, Simulionyte E, Soares JC, Sommer J, Stein DJ, Steinsträter O, Strike LT, Thomopoulos SI, van Tol MJ, Veer IM, Vermeiren RRJM, Walter H, van der Wee NJA, van der Werff SJA, Whalley H, Winter NR, Wittfeld K, Wright MJ, Wu MJ, Völzke H, Yang TT, Zannias V, de Zubicaray GI, Zunta-Soares GB, Abé C, Alda M, Andreassen OA, Bøen E, Bonnin CM, Canales-Rodriguez EJ, Cannon D, Caseras X, Chaim-Avancini TM, Elvsåshagen T, Favre P, Foley SF, Fullerton JM, Goikolea JM, Haarman BCM, Hajek T, Henry C, Houenou J, Howells FM, Ingvar M, Kuplicki R, Lafer B, Landén M, Machado-Vieira R, Malt UF, McDonald C, Mitchell PB, Nabulsi L, Otaduy MCG, Overs BJ, Polosan M, Pomarol-Clotet E, Radua J, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Savitz J, Schene AH, Schofield PR, Serpa MH, Sim K, Soeiro-de-Souza MG, Sutherland AN, Temmingh HS, Timmons GM, Uhlmann A, Vieta E, Wolf DH, Zanetti MV, Jahanshad N, Thompson PM, Veltman DJ, Penninx BWJH, Marquand AF, Cole JH, Schmaal L. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Mol Psychiatry 2021; 26:5124-5139. [PMID: 32424236 PMCID: PMC8589647 DOI: 10.1038/s41380-020-0754-0] [Citation(s) in RCA: 97] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 04/01/2020] [Accepted: 04/23/2020] [Indexed: 01/15/2023]
Abstract
Major depressive disorder (MDD) is associated with an increased risk of brain atrophy, aging-related diseases, and mortality. We examined potential advanced brain aging in adult MDD patients, and whether this process is associated with clinical characteristics in a large multicenter international dataset. We performed a mega-analysis by pooling brain measures derived from T1-weighted MRI scans from 19 samples worldwide. Healthy brain aging was estimated by predicting chronological age (18-75 years) from 7 subcortical volumes, 34 cortical thickness and 34 surface area, lateral ventricles and total intracranial volume measures separately in 952 male and 1236 female controls from the ENIGMA MDD working group. The learned model coefficients were applied to 927 male controls and 986 depressed males, and 1199 female controls and 1689 depressed females to obtain independent unbiased brain-based age predictions. The difference between predicted "brain age" and chronological age was calculated to indicate brain-predicted age difference (brain-PAD). On average, MDD patients showed a higher brain-PAD of +1.08 (SE 0.22) years (Cohen's d = 0.14, 95% CI: 0.08-0.20) compared with controls. However, this difference did not seem to be driven by specific clinical characteristics (recurrent status, remission status, antidepressant medication use, age of onset, or symptom severity). This highly powered collaborative effort showed subtle patterns of age-related structural brain abnormalities in MDD. Substantial within-group variance and overlap between groups were observed. Longitudinal studies of MDD and somatic health outcomes are needed to further assess the clinical value of these brain-PAD estimates.
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Grants
- RF1 AG041915 NIA NIH HHS
- G0802594 Medical Research Council
- R01 MH083968 NIMH NIH HHS
- MR/L010305/1 Medical Research Council
- R01 MH116147 NIMH NIH HHS
- T32 AG058507 NIA NIH HHS
- R01 HD050735 NICHD NIH HHS
- R21 MH113871 NIMH NIH HHS
- T35 AG026757 NIA NIH HHS
- R56 AG058854 NIA NIH HHS
- K23 MH090421 NIMH NIH HHS
- Wellcome Trust
- R61 AT009864 NCCIH NIH HHS
- P41 EB015922 NIBIB NIH HHS
- P20 GM121312 NIGMS NIH HHS
- R37 MH101495 NIMH NIH HHS
- P41 RR008079 NCRR NIH HHS
- T32 MH073526 NIMH NIH HHS
- 104036/Z/14/Z Wellcome Trust
- UL1 TR001872 NCATS NIH HHS
- Department of Health
- U54 EB020403 NIBIB NIH HHS
- R01 MH117601 NIMH NIH HHS
- MR/R024790/2 Medical Research Council
- K01 MH117442 NIMH NIH HHS
- R01 MH085734 NIMH NIH HHS
- R21 AT009173 NCCIH NIH HHS
- RF1 AG051710 NIA NIH HHS
- R01 AG059874 NIA NIH HHS
- CC was supported by NIH grants U54 EB020403, RF1 AG041915, RF1AG051710, P41EB015922, R01MH116147, and R56AG058854
- Russian Science Foundation (RSF)
- The study was supported by a grant from the German Federal Ministry of Education and Research (BMBF; grant FKZ-01ER0816 and FKZ-01ER1506)
- Dr. Busatto was supported by the funding agencies FAPESP and CNPq, Brazil
- Department of Health | National Health and Medical Research Council (NHMRC)
- Deutsche Forschungsgemeinschaft (German Research Foundation)
- This study was funded by National Health and Medical Research Council of Australia (NHMRC) Project Grants 1064643 (Principal Investigator BJH) and 1024570 (Principal Investigator CGD).
- Science Foundation Ireland (SFI)
- This work was supported by NIH grant R37 MH101495
- The Study of Health in Pomerania (SHIP) is part of the Community Medicine Research net (CMR) (http://www.medizin.uni-greifswald.de/icm) of the University Medicine Greifswald, which is supported by the German Federal State of Mecklenburg- West Pomerania. MRI scans in SHIP and SHIP-TREND have been supported by a joint grant from Siemens Healthineers, Erlangen, Germany and the Federal State of Mecklenburg-West Pomerania. This study was further supported by the EU-JPND Funding for BRIDGET (FKZ:01ED1615).
- Gratama Foundation, the Netherlands (2012/35 to NG)
- This work was partially supported by the Deutsche Forschungsgemeinschaft (DFG) via grants to OG (GR1950/5-1 and GR1950/10-1).
- This study was supported by the following National Health and Medical Research Council funding sources: Programme Grant (no. 566529), Centres of Clinical Research Excellence Grant (no. 264611), Australia Fellowship (no. 511921) and Clinical Research Fellowship (no. 402864).
- This study was funded by the National Institute of Mental health grant K23MH090421 (D. Cullen) and Biotechnology Research Center grant P41RR008079 (Center for Magnetic Resonance Research), the National Alliance for Research on Schizophrenia and Depression, the University of Minnesota Graduate School, and the Minnesota Medical Foundation. This work was carried out in part using computing resources at the University of Minnesota Supercomputing Institute.
- This work was funded by the German Research Foundation (DFG, grant FOR2107 KR 3822/7-2 to AK; FOR2107 KI 588/14-2 to TK and FOR2107 JA 1890/7-2 to AJ)
- The research leading to these results was supported by IMAGEMEND, which received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 602450. This paper reflects only the author’s views and the European Union is not liable for any use that may be made of the information contained therein. This work was also supported by a Wellcome Trust Strategic Award 104036/Z/14/Z
- The QTIM dataset was supported by the Australian National Health and Medical Research Council (Project Grants No. 496682 and 1009064) and US National Institute of Child Health and Human Development(RO1HD050735)
- MJP was funded by Ministerio de Ciencia e Innovación of Spanish Government (ISCIII) through a "Miguel Servet II" (CP16/00020)
- Jair C. Soares supported by the Pat Rutherford Chair in Psychiatry, UTHealth. Jair Soares has received research support from Allergan, Pfizer, Johnson & Johnson, Alquermes and COMPASS. He is a member of the speakers’ bureaus for Sunovion and Sanofi and he is a consultant for Johnson & Johnson.
- The QTIM dataset was supported by the Australian National Health and Medical Research Council (Project Grants No. 496682 and 1009064) and US National Institute of Child Health and Human Development (RO1HD050735)
- SIT was supported in part by NIH grants U54 EB020403, RF1 AG041915, RF1AG051710, P41EB015922, R01MH116147, and R56AG058854
- The CODE cohort was collected from studies funded by Lundbeck and the German Research Foundation (WA 1539/4-1, SCHN 1205/3-1, SCHR443/11-1)
- Canadian Institutes of Health Research (142255)
- Fundet by Research Council of Norway (223273, 248778, 273291), NIH (ENIGMA grants)
- Funded by the South-Eastern Norway Regional Health Authority and a research grant from Mrs. Throne-Holst.
- This work was supported by the Health Research Board, Ireland and the Irish Research Council
- The Cardiff dataset was supported through a 2010 NARSAD Young Investigator Award (ref: 17319) to Dr. Xavier Caseras
- This work was supported by the FRM (Fondation pour la recherche Biomédicale) "Bio-informatique pour la biologie" 2014 grant
- Canadian Institutes of Health Research (103703, 106469), Nova Scotia Health Research Foundation, Dalhousie Clinical Research Scholarship to T. Hajek, Brain & Behavior Research Foundation (formerly NARSAD) 2007 Young Investigator and 2015 Independent Investigator Awards to T. Hajek
- This work was supported by the University Research Council of the University of Cape Town and the National Research Foundation of South Africa.
- Australian NHMRC Program Grant 1037196 and Project Grants 1063960 and 1066177.
- This work was supported by research grants from Grenoble University Hospital
- This work was supported by the Generalitat de Catalunya (2014 SGR 1573) and Instituto de Salud Carlos III (CPII16/00018) and (PI14/01151 and PI14/01148).
- The DIADE dataset was suported by a ZonMW OOG 2007 grant (100-002-034). HG Ruhe was supported by a ZonMW VENI grant (016.126.059)
- JS is supported by the National Institute of General Medical Sciences (P20GM121312) and the National Insitute of Mental Health (R21MH113871)
- Dr. Mauricio was supported by the funding agencies CAPES, Brazil
- This study was supported by R01MH083968, Desert-Pacific Mental Illness Research Education and Clinical Center, and the US National Science Foundation (Science Gateways Community Institutes; XSEDE).
- GT's work was supported by the National Institutes of Health, Grant T35 AG026757/AG/NIA and the University of California San Diego, Stein Institute for Research on Aging
- "EV thanks the support of the Spanish Ministry of Science, Innovation and Universities (PI15/00283) integrated into the Plan Nacional de I+D+I y cofinanciado por el ISCIII-Subdirección General de Evaluación y el Fondo Europeo de Desarrollo Regional (FEDER); CIBERSAM; and the Comissionat per a Universitats i Recerca del DIUE de la Generalitat de Catalunya to the Bipolar Disorders Group (2017 SGR 1365) and the project SLT006/17/00357, from PERIS 2016-2020 (Departament de Salut). CERCA Programme/Generalitat de Catalunya. "
- Dr. Zanetti was supported by FAPESP, Brazil (grant no. 2013/03905-4).
- NIH grants R01 MH117601, R01 AG059874, U54 EB020403, RF1 AG041915, RF1AG051710, P41EB015922, R01MH116147, and R56AG058854
- PT was supported in part by NIH grants U54 EB020403, RF1 AG041915, RF1AG051710, P41EB015922, R01MH116147, and R56AG058854
- Dr Cole is funded by a UKRI Innovation Fellowship
- This work was supported by NIH grants U54 EB020403 and R01 MH116147. LS is supported by a NHMRC Career Development Fellowship (1140764).
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Affiliation(s)
- Laura K M Han
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit & GGZinGeest, Amsterdam, The Netherlands.
| | - Richard Dinga
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit & GGZinGeest, Amsterdam, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Christopher R K Ching
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lisa T Eyler
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - Lyubomir Aftanas
- FSSBI "Scientific Research Institute of Physiology & Basic Medicine", Laboratory of Affective, Cognitive & Translational Neuroscience, Novosibirsk, Russia
- Department of Neuroscience, Novosibirsk State University, Novosibirsk, Russia
| | - Moji Aghajani
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit & GGZinGeest, Amsterdam, The Netherlands
| | - André Aleman
- Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, The Netherlands
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Ivan Brak
- FSSBI "Scientific Research Institute of Physiology & Basic Medicine", Laboratory of Affective, Cognitive & Translational Neuroscience, Novosibirsk, Russia
- Laboratory of Experimental & Translational Neuroscience, Novosibirsk State University, Novosibirsk, Russia
| | - Geraldo Busatto Filho
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Angela Carballedo
- Department for Psychiatry, Trinity College Dublin, Dublin, Ireland
- North Dublin Mental Health Services, Dublin, Ireland
| | - Colm G Connolly
- Department of Biomedical Sciences, Florida State University, Tallahassee, FL, USA
| | | | - Kathryn R Cullen
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Christopher G Davey
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Danai Dima
- Department of Psychology, School of Arts and Social Sciences, City, University of London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - Fabio L S Duran
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Verena Enneking
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Elena Filimonova
- FSSBI "Scientific Research Institute of Physiology & Basic Medicine", Laboratory of Affective, Cognitive & Translational Neuroscience, Novosibirsk, Russia
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Thomas Frodl
- Department for Psychiatry, Trinity College Dublin, Dublin, Ireland
- Department of Psychiatry and Psychotherapy, Otto von Guericke University (OVGU), Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany
| | - Cynthia H Y Fu
- Centre for Affective Disorders, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- School of Psychology, University of East London, London, UK
| | | | - Ian H Gotlib
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE) Site Rostock/Greifswald, Greifswald, Germany
| | - Nynke A Groenewold
- Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | | | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Geoffrey B Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Sean N Hatton
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Department of Neuroscience, University of California San Diego, San Diego, CA, USA
| | - Marco Hermesdorf
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Ian B Hickie
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Tiffany C Ho
- Department of Psychology, Stanford University, Stanford, CA, USA
- Department of Psychiatry & Behavioral Sciences, Standord University, Stanford, CA, USA
| | - Norbert Hosten
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Andreas Jansen
- Department of Psychiatry, Philipps-University Marburg, Marburg, Germany
| | - Claas Kähler
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry, Philipps-University Marburg, Marburg, Germany
| | | | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Axel Krug
- Department of Psychiatry, Philipps-University Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Jim Lagopoulos
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Sunshine Coast Mind and Neuroscience Institute, University of the Sunshine Coast QLD, Sippy Downs, QLD, Australia
| | - Ramona Leenings
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Frank P MacMaster
- Departments of Psychiatry and Pediatrics, University of Calgary, Calgary, AB, Canada
- Addictions and Mental Health Strategic Clinical Network, Calgary, AB, Canada
| | - Glenda MacQueen
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Andrew McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Quinn McLellan
- Departments of Psychiatry and Pediatrics, University of Calgary, Calgary, AB, Canada
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Katie L McMahon
- School of Clinical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Instititute, Brisbane, QLD, Australia
| | - Bryon A Mueller
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Benson Mwangi
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Evgeny Osipov
- Laboratory of Experimental & Translational Neuroscience, Novosibirsk State University, Novosibirsk, Russia
| | - Maria J Portella
- Institut d'Investigació Biomèdica Sant Pau, Barcelona, Catalonia, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Cibersam, Spain
| | - Elena Pozzi
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, Minnesota, USA
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Liesbeth Reneman
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
| | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Pedro G P Rosa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Matthew D Sacchet
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | | | - Knut Schnell
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
- Department of Psychiatry and Psychotherapy, Asklepios Fachklinikum Göttingen, Göttingen, Germany
| | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
| | - Egle Simulionyte
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jens Sommer
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Dan J Stein
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- SA MRC Unit on Risk and Resilience, University of Cape Town, Cape Town, South Africa
| | - Olaf Steinsträter
- Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Lachlan T Strike
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Marie-José van Tol
- Cognitive Neuroscience Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ilya M Veer
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert R J M Vermeiren
- Department of Child Psychiatry, University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
| | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Nic J A van der Wee
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Steven J A van der Werff
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Heather Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Nils R Winter
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE) Site Rostock/Greifswald, Greifswald, Germany
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, QLD, Australia
| | - Mon-Ju Wu
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Tony T Yang
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, UCSF School of Medicine, UCSF, San Francisco, CA, USA
| | | | - Greig I de Zubicaray
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
- Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Giovana B Zunta-Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Christoph Abé
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Erlend Bøen
- Clinic for Mental Health and Dependency, C-L psychiatry and Psychosomatic Unit, Oslo University Hospital, Oslo, Norway
| | - Caterina M Bonnin
- Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | | | - Dara Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Tiffany M Chaim-Avancini
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Pauline Favre
- UNIACT, Psychiatry Team, Neurospin, Atomic Energy Commission, Gif-Sur-Yvette, France
- Translational Psychiatry Team, Pôle de psychiatrie, Faculté de Médecine, APHP, Hôpitaux Universitaires Mondor, INSERM, U955, Créteil, France
| | - Sonya F Foley
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK
| | - Janice M Fullerton
- Neuroscience Research Australia, Randwick, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jose M Goikolea
- Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Bartholomeus C M Haarman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Chantal Henry
- Université de Paris, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neuroscience, F-75014, Paris, France
| | - Josselin Houenou
- UNIACT, Psychiatry Team, Neurospin, Atomic Energy Commission, Gif-Sur-Yvette, France
- Translational Psychiatry Team, Pôle de psychiatrie, Faculté de Médecine, APHP, Hôpitaux Universitaires Mondor, INSERM, U955, Créteil, France
| | - Fleur M Howells
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Martin Ingvar
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
| | | | - Beny Lafer
- Department of Psychiatry, School of Medicine, University of Sao Paulo (FMUSP), Sao Paulo, Brazil
| | - Mikael Landén
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Rodrigo Machado-Vieira
- Department of Psychiatry, School of Medicine, University of Sao Paulo (FMUSP), Sao Paulo, Brazil
| | - Ulrik F Malt
- Department of Clinical Neuroscience, University of Oslo, Oslo, Norway
- Clinic for Psychiatry and Dependency, C-L psychiatry and Psychosomatic Unit, Oslo University Hospital, Oslo, Norway
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Kingsford, Sydney, NSW, Australia
- Black Dog Institute, Prince of Wales Hospital, Randwick, Sydney, NSW, Australia
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91 TK33, Galway, Ireland
| | - Maria Concepcion Garcia Otaduy
- Instituto de Radiologia, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Bronwyn J Overs
- Neuroscience Research Australia, Randwick, Sydney, NSW, Australia
| | - Mircea Polosan
- Department of Psychiatry and Neurology, CHU Grenoble Alpes, Université Grenoble Alpes, F-38000, Grenoble, France
- Inserm 1216, Grenoble Institut des Neurosciences, GIN, F-38000, Grenoble, France
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, CIBERSAM, Barcelona, Catalonia, Spain
| | - Joaquim Radua
- Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Maria M Rive
- Department of Psychiatry, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Kingsford, Sydney, NSW, Australia
- Black Dog Institute, Prince of Wales Hospital, Randwick, Sydney, NSW, Australia
| | - Henricus G Ruhe
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Amsterdam University Medical Centers, AMC, Amsterdam, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, CIBERSAM, Barcelona, Catalonia, Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, CIBERSAM, Barcelona, Catalonia, Spain
| | - Theodore D Satterthwaite
- Department of Psychiatry, University of Pennsylvannia Perelman School of Medicine, Philadelphia, PA, USA
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK, USA
| | - Aart H Schene
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Peter R Schofield
- Neuroscience Research Australia, Randwick, Sydney, NSW, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Mauricio H Serpa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Kang Sim
- West Region and Research Division, Institute of Mental Health, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | | | - Ashley N Sutherland
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - Henk S Temmingh
- Section for Experimental Psychopathology and Neuroimaging, Department of Psychiatry, University of Heidelberg, Heidelberg, Germany
- Valkenberg Psychiatric Hospital, Cape Town, South Africa
| | - Garrett M Timmons
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - Anne Uhlmann
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Eduard Vieta
- Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Daniel H Wolf
- Department of Psychiatry, University of Pennsylvannia Perelman School of Medicine, Philadelphia, PA, USA
| | - Marcus V Zanetti
- Laboratory of Psychiatric Neuroimaging (LIM-21), Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
- Instituto de Ensino e Pesquisa, Hospital Sírio-Libanês, Sao Paulo, SP, Brazil
| | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit & GGZinGeest, Amsterdam, The Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit & GGZinGeest, Amsterdam, The Netherlands
| | - Andre F Marquand
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - James H Cole
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia
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55
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Yang R, Wu GWY, Verhoeven JE, Gautam A, Reus VI, Kang JI, Flory JD, Abu-Amara D, Hood L, Doyle FJ, Yehuda R, Marmar CR, Jett M, Hammamieh R, Mellon SH, Wolkowitz OM. A DNA methylation clock associated with age-related illnesses and mortality is accelerated in men with combat PTSD. Mol Psychiatry 2021; 26:4999-5009. [PMID: 32382136 DOI: 10.1038/s41380-020-0755-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 03/20/2020] [Accepted: 04/23/2020] [Indexed: 02/02/2023]
Abstract
DNA methylation patterns at specific cytosine-phosphate-guanine (CpG) sites predictably change with age and can be used to derive "epigenetic age", an indicator of biological age, as opposed to merely chronological age. A relatively new estimator, called "DNAm GrimAge", is notable for its superior predictive ability in older populations regarding numerous age-related metrics like time-to-death, time-to-coronary heart disease, and time-to-cancer. PTSD is associated with premature mortality and frequently has comorbid physical illnesses suggestive of accelerated biological aging. This is the first study to assess DNAm GrimAge in PTSD patients. We investigated the acceleration of GrimAge relative to chronological age, denoted "AgeAccelGrim" in combat trauma-exposed male veterans with and without PTSD using cross-sectional and longitudinal data from two independent well-characterized veteran cohorts. In both cohorts, AgeAccelGrim was significantly higher in the PTSD group compared to the control group (N = 162, 1.26 vs -0.57, p = 0.001 and N = 53, 0.93 vs -1.60 Years, p = 0.008), suggesting accelerated biological aging in both cohorts with PTSD. In 3-year follow-up study of individuals initially diagnosed with PTSD (N = 26), changes in PTSD symptom severity were correlated with AgeAccelGrim changes (r = 0.39, p = 0.049). In addition, the loss of CD28 cell surface markers on CD8 + T cells, an indicator of T-cell senescence/exhaustion that is associated with biological aging, was positively correlated with AgeAccelGrim, suggesting an immunological contribution to the accelerated biological aging. Overall, our findings delineate cellular correlates of biological aging in combat-related PTSD, which may help explain the increased medical morbidity and mortality seen in this disease.
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Affiliation(s)
- Ruoting Yang
- Medical Readiness Systems Biology, Walter Reed Army Institute of Research, Silver Spring, MD, USA.
| | - Gwyneth W Y Wu
- Weill Institute for Neurosciences and Department of Psychiatry, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Josine E Verhoeven
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Aarti Gautam
- Medical Readiness Systems Biology, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Victor I Reus
- Weill Institute for Neurosciences and Department of Psychiatry, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Jee In Kang
- Institute of Behavioral Science in Medicine & Department of Psychiatry, Yonsei University College of Medicine, Seoul, South Korea
| | - Janine D Flory
- James J Peters VA Medical Center, Bronx, NY, USA.,Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Duna Abu-Amara
- Department of Psychiatry, New York University School of Medicine, New York, NY, USA
| | | | - Leroy Hood
- Institute for Systems Biology, Seattle, WA, USA
| | - Francis J Doyle
- John A. Paulson School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Rachel Yehuda
- James J Peters VA Medical Center, Bronx, NY, USA.,Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charles R Marmar
- Department of Psychiatry, New York University School of Medicine, New York, NY, USA
| | - Marti Jett
- Medical Readiness Systems Biology, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Rasha Hammamieh
- Medical Readiness Systems Biology, 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, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
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56
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Joo EJ, Ahn YM, Park M, Kim SA. Significant Shortening of Leukocyte Telomere Length in Korean Patients with Bipolar Disorder 1. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2021; 19:559-563. [PMID: 34294626 PMCID: PMC8316664 DOI: 10.9758/cpn.2021.19.3.559] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 11/23/2020] [Accepted: 11/27/2020] [Indexed: 01/23/2023]
Affiliation(s)
- Eun-Jeong Joo
- Department of Neuropsychiatry, School of Medicine, Eulji University, Daejeon, Korea
- Department of Psychiatry, Nowon Eulji Meical Center, Eulji University, Seoul, Korea
| | - Yong Min Ahn
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea
- Department of Psychiatry and Behavioral Science, Seoul, Korea
- Institute of Human and Behavioral Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Mira Park
- Department of Preventive Medicine, School of Medicine, Eulji University, Daejeon, Korea
| | - Soon Ae Kim
- Department of Pharmacology, School of Medicine, Eulji University, Daejeon, Korea
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57
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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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58
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Navarro-Mateu F, Husky M, Cayuela-Fuentes P, Álvarez FJ, Roca-Vega A, Rubio-Aparicio M, Chirlaque MD, Cayuela ML, Martínez S, Sánchez-Meca J. The association of telomere length with substance use disorders: a systematic review and meta-analysis of observational studies. Addiction 2021; 116:1954-1972. [PMID: 33140537 DOI: 10.1111/add.15312] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 07/09/2020] [Accepted: 10/28/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND AND AIMS Several recent studies have investigated the relationship between telomere length and substance use disorders with inconsistent results. We aimed to assess this association and to identify moderators of the relationship. METHODS Systematic review and meta-analysis. Selection criteria were observational studies reporting telomere length in people with a substance use disorder compared with a control group. Studies focused solely on nicotine addiction, employing other study designs, and non-human studies were excluded. Study selection and data extraction were independently conducted by two researchers following a standardized protocol and included studies until December 2019. Standardized mean differences were used as the effect size index [d; 95% confidence interval (CI)] and random-effects models were used for the meta-analysis. Cochran's Q-statistic, I2 index, visual inspection of the forest plot and a 95% prediction interval were applied to verify study heterogeneity. Subgroup analyses and meta-regressions were conducted to explore heterogeneity. Small study effects were examined using the 'funnel plot', the Egger test, Duval & Tweedie's trim-and-fill method and the precision-effect test-precision-effect estimate with standard error (PET-PEESE) method. The risk of bias and the quality of evidence were assessed. RESULTS Ten studies (12 analysis units with 2671 cases and 4532 controls) met the selection criteria. An overall effect size of moderate magnitude was found (d+ = -0.63; 95% CI = -1.00 and -0.26; P = 0.0008). A potential small study effect was detected, as well as large heterogeneity between studies (Q-statistic P < 0.001, I2 = 97.3%). Selection of controls, reporting laboratory quality control procedures and total sample size significantly affected the effect size. The quality of the evidence was very low, based on risk of bias analysis and the grading of recommendations assessment, development and evaluation (GRADE) system. CONCLUSIONS People with substance use disorders appear to have shorter telomere length than controls; however, this finding should be interpreted with caution due to the poor quality of the evidence.
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Affiliation(s)
- Fernando Navarro-Mateu
- Servicio Murciano de Salud, Unidad de Docencia, Investigación y Formación en Salud Mental (UDIF-SM), Murcia, Spain.,CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,IMIB-Arrixaca, Murcia, Spain.,Departamento de Psicología Básica y Metodología, University of Murcia, Murcia, Spain
| | - Mathilde Husky
- Université de Bordeaux, Laboratoire de Psychologie EA4139, Bordeaux, France
| | - Pedro Cayuela-Fuentes
- Escuela Universitaria de Enfermería de Cartagena, University of Murcia, Murcia, Spain
| | - Francisco-Javier Álvarez
- Servicio Murciano de Salud, Unidad de Docencia, Investigación y Formación en Salud Mental (UDIF-SM), Murcia, Spain
| | - Agustín Roca-Vega
- Biblioteca Virtual MurciaSalud, Centro Tecnológico de Información y Documentación Sanitaria, Servicio Murciano de Salud, Murcia, Spain
| | | | - María Dolores Chirlaque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,IMIB-Arrixaca, Murcia, Spain.,Servicio de Epidemiología, Consejería de Salud, Murcia, Spain.,Departamento de Ciencias Sociosanitarias, University of Murcia, Murcia, Spain
| | - María Luisa Cayuela
- Grupo Telomerasa, Cáncer y Envejecimiento, Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain.,CIBER de Enfermedades Raras (CIBERER), Madrid, Spain
| | - Salvador Martínez
- Instituto de Neurociencias, UMH-CSIC, Alicante, Spain.,and CIBER de Salud Mental (CIBERSAM), Madrid, Spain
| | - Julio Sánchez-Meca
- Departamento de Psicología Básica y Metodología, University of Murcia, Murcia, Spain
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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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Methylome-wide change associated with response to electroconvulsive therapy in depressed patients. Transl Psychiatry 2021; 11:347. [PMID: 34091594 PMCID: PMC8179923 DOI: 10.1038/s41398-021-01474-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/10/2021] [Accepted: 05/21/2021] [Indexed: 12/31/2022] Open
Abstract
Electroconvulsive therapy (ECT) is a quick-acting and powerful antidepressant treatment considered to be effective in treating severe and pharmacotherapy-resistant forms of depression. Recent studies have suggested that epigenetic mechanisms can mediate treatment response and investigations about the relationship between the effects of ECT and DNA methylation have so far largely taken candidate approaches. In the present study, we examined the effects of ECT on the methylome associated with response in depressed patients (n = 34), testing for differentially methylated CpG sites before the first and after the last ECT treatment. We identified one differentially methylated CpG site associated with the effect of ECT response (defined as >50% decrease in Hamilton Depression Rating Scale score, HDRS), TNKS (q < 0.05; p = 7.15 × 10-8). When defining response continuously (ΔHDRS), the top suggestive differentially methylated CpG site was in FKBP5 (p = 3.94 × 10-7). Regional analyses identified two differentially methylated regions on chromosomes 8 (Šídák's p = 0.0031) and 20 (Šídák's p = 4.2 × 10-5) associated with ΔHDRS. Functional pathway analysis did not identify any significant pathways. A confirmatory look at candidates previously proposed to be involved in ECT mechanisms found CpG sites associated with response only at the nominally significant level (p < 0.05). Despite the limited sample size, the present study was able to identify epigenetic change associated with ECT response suggesting that this approach, especially when involving larger samples, has the potential to inform the study of mechanisms involved in ECT and severe and treatment-resistant depression.
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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: 14] [Impact Index Per Article: 4.7] [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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Merz MP, Turner JD. Is early life adversity a trigger towards inflammageing? Exp Gerontol 2021; 150:111377. [PMID: 33905877 DOI: 10.1016/j.exger.2021.111377] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 04/16/2021] [Accepted: 04/21/2021] [Indexed: 02/06/2023]
Abstract
There are many 'faces' of early life adversity (ELA), such as childhood trauma, institutionalisation, abuse or exposure to environmental toxins. These have been implicated in the onset and severity of a wide range of chronic non-communicable diseases later in life. The later-life disease risk has a well-established immunological component. This raises the question as to whether accelerated immune-ageing mechanistically links early-life adversity to the lifelong health trajectory resulting in either 'poor' or 'healthy' ageing. Here we examine observational and mechanistic studies of ELA and inflammageing, highlighting common and distinct features in these two life stages. Many biological processes appear in common including reduction in telomere length, increased immunosenescence, metabolic distortions and chronic (viral) infections. We propose that ELA shapes the developing immune, endocrine and nervous system in a non-reversible way, creating a distinct phenotype with accelerated immunosenescence and systemic inflammation. We conclude that ELA might act as an accelerator for inflammageing and age-related diseases. Furthermore, we now have the tools and cohorts to be able to dissect the interaction between ELA and later life phenotype. This should, in the near future, allow us to identify the ecological and mechanistic processes that are involved in 'healthy' or accelerated immune-ageing.
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Affiliation(s)
- Myriam P Merz
- Immune Endocrine and Epigenetics Research Group, Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 rue Henri Koch, L-4354 Esch-sur-Alzette, Luxembourg; Faculty of Science, Technology and Medicine, University of Luxembourg, 2 avenue de Université, L-4365 Esch-sur-Alzette, Luxembourg
| | - Jonathan D Turner
- Immune Endocrine and Epigenetics Research Group, Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 rue Henri Koch, L-4354 Esch-sur-Alzette, Luxembourg.
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Cerveira de Baumont A, Hoffmann MS, Bortoluzzi A, Fries GR, Lavandoski P, Grun LK, Guimarães LSP, Guma FTCR, Salum GA, Barbé-Tuana FM, Manfro GG. Telomere length and epigenetic age acceleration in adolescents with anxiety disorders. Sci Rep 2021; 11:7716. [PMID: 33833304 PMCID: PMC8032711 DOI: 10.1038/s41598-021-87045-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 03/16/2021] [Indexed: 02/01/2023] Open
Abstract
Evidence on the relationship between genetics and mental health are flourishing. However, few studies are evaluating early biomarkers that might link genes, environment, and psychopathology. We aimed to study telomere length (TL) and epigenetic age acceleration (AA) in a cohort of adolescents with and without anxiety disorders (N = 234). We evaluated a representative subsample of participants at baseline and after 5 years (n = 76) and categorized them according to their anxiety disorder diagnosis at both time points: (1) control group (no anxiety disorder, n = 18), (2) variable group (anxiety disorder in one evaluation, n = 38), and (3) persistent group (anxiety disorder at both time points, n = 20). We assessed relative mean TL by real-time quantitative PCR and DNA methylation by Infinium HumanMethylation450 BeadChip. We calculated AA using the Horvath age estimation algorithm and analyzed differences among groups using generalized linear mixed models. The persistent group of anxiety disorder did not change TL over time (p = 0.495). The variable group had higher baseline TL (p = 0.003) but no accelerated TL erosion in comparison to the non-anxiety control group (p = 0.053). Furthermore, there were no differences in AA among groups over time. Our findings suggest that adolescents with chronic anxiety did not change telomere length over time, which could be related to a delay in neuronal development in this period of life.
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Affiliation(s)
- Angelica Cerveira de Baumont
- Anxiety Disorders Outpatient Program for Children and Adolescents, Protaia, Federal University of Rio Grande do Sul, UFRGS/Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil.
- Graduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil.
- Basic Research and Advanced Investigations in Neurosciences, BRAIN Laboratory, Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil.
- Serviço de Psiquiatria, Hospital de Clínicas de Porto Alegre, HCPA, Rua Ramiro Barcelos, 2350-sala 400N, Rio Branco, Porto Alegre, RS, 90035-903, Brazil.
| | - Mauricio Scopel Hoffmann
- Graduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Departamento de Neuropsiquiatria, Universidade Federal de Santa Maria, Avenida Roraima 1000, Santa Maria, 97105-900, Brazil
- Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK
- Instituto Nacional de Psiquiatria do Desenvolvimento para Crianças e Adolescentes (INPD), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Porto Alegre, RS, Brazil
| | - Andressa Bortoluzzi
- Anxiety Disorders Outpatient Program for Children and Adolescents, Protaia, Federal University of Rio Grande do Sul, UFRGS/Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
- Graduate Program in Neuroscience, Institute of Basic Sciences/Health, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Basic Research and Advanced Investigations in Neurosciences, BRAIN Laboratory, Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
| | - Gabriel R Fries
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), Houston, TX, USA
| | - Patrícia Lavandoski
- Graduate Program in Biochemistry, Laboratoy of Molecular Biology and Bioinformatics, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
| | - Lucas K Grun
- Group of Inflammation and Cellular Senescence, Graduate Program in Cellular and Molecular Biology, School of Sciences, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil
- Postgraduate Program in Pediatrics and Child Health, School of Medicine, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Luciano S P Guimarães
- Unit of Epidemiology and Biostatistics, Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
| | - Fátima T C R Guma
- Graduate Program in Biochemistry, Laboratoy of Molecular Biology and Bioinformatics, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
| | - Giovanni Abrahão Salum
- Anxiety Disorders Outpatient Program for Children and Adolescents, Protaia, Federal University of Rio Grande do Sul, UFRGS/Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
- Graduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento para Crianças e Adolescentes (INPD), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Porto Alegre, RS, Brazil
| | - Florencia M Barbé-Tuana
- Graduate Program in Biochemistry, Laboratoy of Molecular Biology and Bioinformatics, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Group of Inflammation and Cellular Senescence, Graduate Program in Cellular and Molecular Biology, School of Sciences, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil
| | - Gisele G Manfro
- Anxiety Disorders Outpatient Program for Children and Adolescents, Protaia, Federal University of Rio Grande do Sul, UFRGS/Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
- Graduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Graduate Program in Neuroscience, Institute of Basic Sciences/Health, Federal University of Rio Grande do Sul, UFRGS, Porto Alegre, Brazil
- Basic Research and Advanced Investigations in Neurosciences, BRAIN Laboratory, Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento para Crianças e Adolescentes (INPD), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Porto Alegre, RS, Brazil
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Jansen R, Han LK, Verhoeven JE, Aberg KA, van den Oord EC, Milaneschi Y, Penninx BW. An integrative study of five biological clocks in somatic and mental health. eLife 2021; 10:59479. [PMID: 33558008 PMCID: PMC7872513 DOI: 10.7554/elife.59479] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 12/14/2020] [Indexed: 02/06/2023] Open
Abstract
Biological clocks have been developed at different molecular levels and were found to be more advanced in the presence of somatic illness and mental disorders. However, it is unclear whether different biological clocks reflect similar aging processes and determinants. In ~3000 subjects, we examined whether five biological clocks (telomere length, epigenetic, transcriptomic, proteomic, and metabolomic clocks) were interrelated and associated to somatic and mental health determinants. Correlations between biological aging indicators were small (all r < 0.2), indicating little overlap. The most consistent associations of advanced biological aging were found for male sex, higher body mass index (BMI), metabolic syndrome, smoking, and depression. As compared to the individual clocks, a composite index of all five clocks showed most pronounced associations with health determinants. The large effect sizes of the composite index and the low correlation between biological aging indicators suggest that one's biological age is best reflected by combining aging measures from multiple cellular levels.
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Affiliation(s)
- Rick Jansen
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Laura Km Han
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Josine E Verhoeven
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Karolina A Aberg
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, United States
| | - Edwin Cgj van den Oord
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, United States
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Brenda Wjh Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute and Amsterdam Neuroscience, Amsterdam, Netherlands
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Dada O, Adanty C, Dai N, Jeremian R, Alli S, Gerretsen P, Graff A, Strauss J, De Luca V. Biological aging in schizophrenia and psychosis severity: DNA methylation analysis. Psychiatry Res 2021; 296:113646. [PMID: 33444986 DOI: 10.1016/j.psychres.2020.113646] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 12/10/2020] [Indexed: 01/08/2023]
Abstract
The physiological changes associated with normal aging are known to occur earlier in individuals with schizophrenia (SCZ). One of the phenomena linked with normal aging is the change in patterns of epigenetic modifications. We recruited 138 individuals with SCZ spectrum disorders and extracted DNA from white blood cells. The combinations of pre-selected DNA methylation sites were utilized to estimate the 'methylation age' (DNAm age) and evaluate evidence of epigenetic age acceleration. We investigated the correlation between the epigenetic age acceleration measures and psychosis severity; furthermore, we estimated blood cell counts based on DNA methylation levels. The extrinsic epigenetic age acceleration showed a significant correlation with the Brief Psychiatric Rating Scale (BPRS) disorganization subscale(r=0.222, p=0.039).Both Horvath age acceleration and Hannum age acceleration showed a significant correlation (r=0.221, p=0.029; r=0.242, p=0.017 respectively) with the Symptom Checklist 90 (SCL-90) psychotic domain. Overall, this study shows some evidence of epigenetic age acceleration associated with psychosis severity using two different algorithms for DNAm age analysis.
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Affiliation(s)
- Oluwagbenga Dada
- CAMH, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Christopher Adanty
- CAMH, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Nasia Dai
- CAMH, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Richie Jeremian
- CAMH, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sauliha Alli
- CAMH, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Philip Gerretsen
- CAMH, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Ariel Graff
- CAMH, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - John Strauss
- CAMH, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Vincenzo De Luca
- CAMH, Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
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Nelson BW, Sheeber L, Pfeifer J, Allen NB. Psychobiological markers of allostatic load in depressed and nondepressed mothers and their adolescent offspring. J Child Psychol Psychiatry 2021; 62:199-211. [PMID: 32438475 PMCID: PMC8489515 DOI: 10.1111/jcpp.13264] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/21/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND A substantial body of research has emerged suggesting that depression is strongly linked to poor physical health outcomes, which may be partly due to increased allostatic load across stress response systems. Interestingly, health risks associated with depression are also borne by the offspring of depressed persons. Our aim was to simultaneously investigate whether maternal depression is associated not only with increased allostatic load across cardiac control, inflammation, cellular aging, but also if this is transmitted to adolescent children, possibly increasing the risk for early onset of psychiatric conditions and disease in these offspring. METHODS A preregistered, case-control study of 180 low-income mothers (50% mothers depressed, 50% mothers nondepressed) and their adolescent offspring was conducted to determine how depressed mothers and their adolescent offspring systematically differ in terms of autonomic, sympathetic, and parasympathetic cardiac control; inflammation; cellular aging; and behavioral health in offspring, which are indicators suggestive of higher allostatic load. RESULTS Findings indicate that depressed mothers and their adolescent offspring differ in terms of comorbid mental and physical health risk profiles that are suggestive of higher allostatic load. Findings indicate that depressed mothers exhibit elevated resting heart rate and decreased heart rate variability, and adolescent offspring of depressed mothers exhibit greater mental health symptoms, elevated heart rate, and accelerated biological aging (shorter telomeres). These effects persisted after controlling for a range of potential covariates, including medication use, sex, age, and adolescents' own mental health symptoms. CONCLUSIONS Findings indicate that maternal depression is associated with increased allostatic load in depressed women and their adolescent children, possibly increasing risk for early onset of psychiatric conditions and disease in these offspring. Future research is needed to delineate why some biological systems are more impacted than others and to explore how findings might inform preventative programs targeted at adolescent offspring of depressed mothers.
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Affiliation(s)
- Benjamin W. Nelson
- Department of Psychology, University of Oregon, Eugene, OR, USA
- Oregon Research Institute, Eugene, OR, USA
- School of Medicine, University of Washington, Seattle, WA, USA
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Palmos AB, Duarte RRR, Smeeth DM, Hedges EC, Nixon DF, Thuret S, Powell TR. Telomere length and human hippocampal neurogenesis. Neuropsychopharmacology 2020; 45:2239-2247. [PMID: 32920596 PMCID: PMC7784985 DOI: 10.1038/s41386-020-00863-w] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/13/2020] [Accepted: 08/17/2020] [Indexed: 12/18/2022]
Abstract
Short telomere length is a risk factor for age-related disease, but it is also associated with reduced hippocampal volumes, age-related cognitive decline and psychiatric disorder risk. The current study explored whether telomere shortening might have an influence on cognitive function and psychiatric disorder pathophysiology, via its hypothesised effects on adult hippocampal neurogenesis. We modelled telomere shortening in human hippocampal progenitor cells in vitro using a serial passaging protocol that mimics the end-replication problem. Serially passaged progenitors demonstrated shorter telomeres (P ≤ 0.05), and reduced rates of cell proliferation (P ≤ 0.001), with no changes in the ability of cells to differentiate into neurons or glia. RNA-sequencing and gene-set enrichment analyses revealed an effect of cell ageing on gene networks related to neurogenesis, telomere maintenance, cell senescence and cytokine production. Downregulated transcripts in our model showed a significant overlap with genes regulating cognitive function (P ≤ 1 × 10-5), and risk for schizophrenia (P ≤ 1 × 10-10) and bipolar disorder (P ≤ 0.005). Collectively, our results suggest that telomere shortening could represent a mechanism that moderates the proliferative capacity of human hippocampal progenitors, which may subsequently impact on human cognitive function and psychiatric disorder pathophysiology.
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Affiliation(s)
- Alish B. Palmos
- grid.13097.3c0000 0001 2322 6764Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Rodrigo R. R. Duarte
- grid.13097.3c0000 0001 2322 6764Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,grid.5386.8000000041936877XDivision of Infectious Diseases, Weill Cornell Medicine, Cornell University, New York, NY USA
| | - Demelza M. Smeeth
- grid.13097.3c0000 0001 2322 6764Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Erin C. Hedges
- grid.13097.3c0000 0001 2322 6764Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Douglas F. Nixon
- grid.5386.8000000041936877XDivision of Infectious Diseases, Weill Cornell Medicine, Cornell University, New York, NY USA
| | - Sandrine Thuret
- grid.13097.3c0000 0001 2322 6764Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Timothy R. Powell
- grid.13097.3c0000 0001 2322 6764Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,grid.5386.8000000041936877XDivision of Infectious Diseases, Weill Cornell Medicine, Cornell University, New York, NY USA
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71
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Squassina A, Manchia M, Pisanu C, Ardau R, Arzedi C, Bocchetta A, Caria P, Cocco C, Congiu D, Cossu E, Dettori T, Frau DV, Garzilli M, Manca E, Meloni A, Montis MA, Mura A, Nieddu M, Noli B, Paribello P, Pinna F, Robledo R, Severino G, Sogos V, Del Zompo M, Ferri GL, Chillotti C, Vanni R, Carpiniello B. Telomere attrition and inflammatory load in severe psychiatric disorders and in response to psychotropic medications. Neuropsychopharmacology 2020; 45:2229-2238. [PMID: 32919410 PMCID: PMC7784910 DOI: 10.1038/s41386-020-00844-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 08/14/2020] [Accepted: 08/26/2020] [Indexed: 12/15/2022]
Abstract
Individuals with severe psychiatric disorders have a reduced life expectancy compared to the general population. At the biological level, patients with these disorders present features that suggest the involvement of accelerated aging, such as increased circulating inflammatory markers and shorter telomere length (TL). To date, the role of the interplay between inflammation and telomere dynamics in the pathophysiology of severe psychiatric disorders has been scarcely investigated. In this study we measured T-lymphocytes TL with quantitative fluorescent in situ hybridization (Q-FISH) and plasma levels of inflammatory markers in a cohort comprised of 40 patients with bipolar disorder (BD), 41 with schizophrenia (SZ), 37 with major depressive disorder (MDD), and 36 non-psychiatric controls (NPC). TL was shorter in SZ and in MDD compared to NPC, while it was longer in BD (model F6, 137 = 20.128, p = 8.73 × 10-17, effect of diagnosis, F3 = 31.870; p = 1.08 × 10-15). There was no effect of the different classes of psychotropic medications, while duration of treatment with mood stabilizers was associated with longer TL (Partial correlation controlled for age and BMI: correlation coefficient = 0.451; p = 0.001). Levels of high-sensitivity C-Reactive Protein (hsCRP) were higher in SZ compared to NPC (adjusted p = 0.027), and inversely correlated with TL in the whole sample (r = -0.180; p = 0.042). Compared to NPC, patients with treatment resistant (TR) SZ had shorter TL (p = 0.001), while patients with TR MDD had higher levels of tumor necrosis factor-α (TNFα) compared to NPC (p = 0.028) and to non-TR (p = 0.039). Comorbidity with cardio-metabolic disorders did not influence the observed differences in TL, hsCRP, and TNFα among the diagnostic groups. Our study suggests that patients with severe psychiatric disorders present reduced TL and increased inflammation.
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Affiliation(s)
- Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, 09042, Monserrato, Cagliari, Italy.
| | - Mirko Manchia
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, 09042, Monserrato, Cagliari, Italy
| | - Raffaella Ardau
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Carlo Arzedi
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Alberto Bocchetta
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, 09042, Monserrato, Cagliari, Italy
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Paola Caria
- Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Monserrato, Cagliari, Italy
| | - Cristina Cocco
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Monserrato, Cagliari, Italy
| | - Donatella Congiu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, 09042, Monserrato, Cagliari, Italy
| | - Eleonora Cossu
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Tinuccia Dettori
- Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Monserrato, Cagliari, Italy
| | - Daniela Virginia Frau
- Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Monserrato, Cagliari, Italy
| | - Mario Garzilli
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Elias Manca
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Monserrato, Cagliari, Italy
| | - Anna Meloni
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, 09042, Monserrato, Cagliari, Italy
| | - Maria Antonietta Montis
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Andrea Mura
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Mariella Nieddu
- Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Monserrato, Cagliari, Italy
| | - Barbara Noli
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Monserrato, Cagliari, Italy
| | - Pasquale Paribello
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Federica Pinna
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Renato Robledo
- Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Monserrato, Cagliari, Italy
| | - Giovanni Severino
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, 09042, Monserrato, Cagliari, Italy
| | - Valeria Sogos
- Department of Biomedical Sciences, Section of Cytomorphology, University of Cagliari, Monserrato, Cagliari, Italy
| | - Maria Del Zompo
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, 09042, Monserrato, Cagliari, Italy
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Gian Luca Ferri
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Monserrato, Cagliari, Italy
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Roberta Vanni
- Department of Biomedical Sciences, Unit of Biology and Genetics, University of Cagliari, Monserrato, Cagliari, Italy
| | - Bernardo Carpiniello
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
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Accelerated brain aging predicts impaired cognitive performance and greater disability in geriatric but not midlife adult depression. Transl Psychiatry 2020; 10:317. [PMID: 32948749 PMCID: PMC7501280 DOI: 10.1038/s41398-020-01004-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 09/04/2020] [Indexed: 12/20/2022] Open
Abstract
Depression is associated with markers of accelerated aging, but it is unclear how this relationship changes across the lifespan. We examined whether a brain-based measure of accelerated aging differed between depressed and never-depressed subjects across the adult lifespan and whether it was related to cognitive performance and disability. We applied a machine-learning approach that estimated brain age from structural MRI data in two depressed cohorts, respectively 170 midlife adults and 154 older adults enrolled in studies with common entry criteria. Both cohorts completed broad cognitive batteries and the older subgroup completed a disability assessment. The machine-learning model estimated brain age from MRI data, which was compared to chronological age to determine the brain-age gap (BAG; estimated age-chronological age). BAG did not differ between midlife depressed and nondepressed adults. Older depressed adults exhibited significantly higher BAG than nondepressed elders (Wald χ2 = 8.84, p = 0.0029), indicating a higher estimated brain age than chronological age. BAG was not associated with midlife cognitive performance. In the older cohort, higher BAG was associated with poorer episodic memory performance (Wald χ2 = 4.10, p = 0.0430) and, in the older depressed group alone, slower processing speed (Wald χ2 = 4.43, p = 0.0354). We also observed a statistical interaction where greater depressive symptom severity in context of higher BAG was associated with poorer executive function (Wald χ2 = 5.89, p = 0.0152) and working memory performance (Wald χ2 = 4.47, p = 0.0346). Increased BAG was associated with greater disability (Wald χ2 = 6.00, p = 0.0143). Unlike midlife depression, geriatric depression exhibits accelerated brain aging, which in turn is associated with cognitive and functional deficits.
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73
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Brietzke E, Cerqueira RO, Soares CN, Kapczinski F. Is bipolar disorder associated with premature aging? TRENDS IN PSYCHIATRY AND PSYCHOTHERAPY 2020; 41:315-317. [PMID: 31967192 DOI: 10.1590/2237-6089-2019-0038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 06/27/2019] [Indexed: 02/07/2023]
Affiliation(s)
- Elisa Brietzke
- Department of Psychiatry, Queen's University, Kingston, ON, Canada.,Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada
| | - Raphael O Cerqueira
- Departamento de Psiquiatria, Universidade Federal de São Paulo, São Paulo, SP, Brazil
| | - Claudio N Soares
- Department of Psychiatry, Queen's University, Kingston, ON, Canada
| | - Flavio Kapczinski
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, ON, Canada
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The Association Between Psychiatric Disorders and Telomere Length: A Meta-Analysis Involving 14,827 Persons: Erratum. Psychosom Med 2020; 82:631. [PMID: 32618906 DOI: 10.1097/psy.0000000000000831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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75
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Rees C, Thomson L. Exploration of morbidity, suicide and all-cause mortality in a Scottish forensic cohort over 20 years. BJPsych Open 2020; 6:e62. [PMID: 32552922 PMCID: PMC7345667 DOI: 10.1192/bjo.2020.40] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Premature mortality among patients experiencing forensic care is high. This paper examines the morbidity and mortality of all Scottish high secure patients in 1992/1993 and followed up 20 years later through the context of recovery. AIMS To explore morbidity and delineate which patients are at greatest risk of premature mortality. To assess the extent of suicide and unnatural deaths. To establish which factors, if any, appear protective. METHOD Health and mortality data were extracted from national data-sets and death categorised as premature or post-expected age. Standardised mortality ratios were calculated to explore natural, unnatural and suicide deaths with Cox regression conducted to explore baseline demographics and premature death. RESULTS During a mean follow-up of 21.1 years, 36.9% (n = 89) died, at an average age of 55.6 years. Of these, 70.8% (n = 63) died prematurely. Men lost on average 14.9 years and women 24.1 years of potential life. Five lives (5.6%) were lost by suicide and three (3.4%) by unnatural means. CONCLUSIONS In contrast to other mainstream and forensic cohorts, high rates of suicide and accidental deaths were not apparent. Risk of premature mortality is high. A greater focus upon physical health by community and in-patient services is essential.
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Affiliation(s)
- Cheryl Rees
- Division of Psychiatry, University of Edinburgh, UK
| | - Lindsay Thomson
- Forensic Psychiatry, University of Edinburgh; The State Hospital, Scotland; and The Forensic Mental Health Managed Care Network, Scotland, UK
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76
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Pisanu C, Congiu D, Manchia M, Caria P, Cocco C, Dettori T, Frau DV, Manca E, Meloni A, Nieddu M, Noli B, Pinna F, Robledo R, Sogos V, Ferri GL, Carpiniello B, Vanni R, Bocchetta A, Severino G, Ardau R, Chillotti C, Zompo MD, Squassina A. Differences in telomere length between patients with bipolar disorder and controls are influenced by lithium treatment. Pharmacogenomics 2020; 21:533-540. [DOI: 10.2217/pgs-2020-0028] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Aim: To assess the role of lithium treatment in the relationship between bipolar disorder (BD) and leukocyte telomere length (LTL). Materials & methods: We compared LTL between 131 patients with BD, with or without a history of lithium treatment, and 336 controls. We tested the association between genetically determined LTL and BD in two large genome-wide association datasets. Results: Patients with BD with a history lithium treatment showed longer LTL compared with never-treated patients (p = 0.015), and similar LTL compared with controls. Patients never treated with lithium showed shorter LTL compared with controls (p = 0.029). Mendelian randomization analysis showed no association between BD and genetically determined LTL. Conclusion: Our data support previous findings showing that long-term lithium treatment might protect against telomere shortening.
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Affiliation(s)
- Claudia Pisanu
- Department of Biomedical Science, Section of Neuroscience & Clinical Pharmacology, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Donatella Congiu
- Department of Biomedical Science, Section of Neuroscience & Clinical Pharmacology, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Mirko Manchia
- Unit of Psychiatry, Department of Public Health, Clinical & Molecular Medicine, University of Cagliari, Cagliari, 09100, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, 09100, Italy
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, B3H 4R2, Canada
| | - Paola Caria
- Department of Biomedical Sciences, Unit of Biology & Genetics, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Cristina Cocco
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Tinuccia Dettori
- Department of Biomedical Sciences, Unit of Biology & Genetics, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Daniela Virginia Frau
- Department of Biomedical Sciences, Unit of Biology & Genetics, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Elias Manca
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Anna Meloni
- Department of Biomedical Science, Section of Neuroscience & Clinical Pharmacology, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Mariella Nieddu
- Department of Biomedical Sciences, Unit of Biology & Genetics, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Barbara Noli
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Federica Pinna
- Unit of Psychiatry, Department of Public Health, Clinical & Molecular Medicine, University of Cagliari, Cagliari, 09100, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, 09100, Italy
| | - Renato Robledo
- Department of Biomedical Sciences, Unit of Biology & Genetics, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Valeria Sogos
- Department of Biomedical Sciences, Section of Cytomorphology, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Gian Luca Ferri
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Bernardo Carpiniello
- Unit of Psychiatry, Department of Public Health, Clinical & Molecular Medicine, University of Cagliari, Cagliari, 09100, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, 09100, Italy
| | - Roberta Vanni
- Department of Biomedical Sciences, Unit of Biology & Genetics, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Alberto Bocchetta
- Department of Biomedical Science, Section of Neuroscience & Clinical Pharmacology, University of Cagliari, Monserrato, Cagliari, 09042, Italy
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, 09100, Italy
| | - Giovanni Severino
- Department of Biomedical Science, Section of Neuroscience & Clinical Pharmacology, University of Cagliari, Monserrato, Cagliari, 09042, Italy
| | - Raffaella Ardau
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, 09100, Italy
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, 09100, Italy
| | - Maria Del Zompo
- Department of Biomedical Science, Section of Neuroscience & Clinical Pharmacology, University of Cagliari, Monserrato, Cagliari, 09042, Italy
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, 09100, Italy
| | - Alessio Squassina
- Department of Biomedical Science, Section of Neuroscience & Clinical Pharmacology, University of Cagliari, Monserrato, Cagliari, 09042, Italy
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Wynchank D, Bijlenga D, Penninx BW, Lamers F, Beekman AT, Kooij JJS, Verhoeven JE. Delayed sleep-onset and biological age: late sleep-onset is associated with shorter telomere length. Sleep 2020; 42:5528107. [PMID: 31270544 DOI: 10.1093/sleep/zsz139] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 05/08/2019] [Indexed: 12/19/2022] Open
Abstract
STUDY OBJECTIVES We evaluated the relationship between leukocyte telomere length (LTL) and sleep duration, insomnia symptoms, and circadian rhythm, to test whether sleep and chronobiological dysregulations are associated with cellular aging. METHODS Data from the Netherlands Study of Depression and Anxiety (N = 2,936) were used at two waves 6 years apart, to measure LTL. Telomeres shorten during the life span and are important biomarkers for cellular aging. LTL was assessed by qualitative polymerase chain reaction and converted into base pair number. Sleep parameters were: sleep duration and insomnia symptoms from the Insomnia Rating Scale. Circadian rhythm variables were: indication of Delayed Sleep Phase Syndrome (DSPS), mid-sleep corrected for sleep debt on free days (MSFsc), sleep-onset time, and self-reported chronotype, from the Munich Chronotype Questionnaire. Generalized estimating equations analyzed the associations between LTL, sleep, and chronobiological factors, adjusted for baseline age, sex, North European ancestry, and additionally for current smoking, depression severity, obesity, and childhood trauma. RESULTS Indicators of delayed circadian rhythm showed a strong and consistent effect on LTL, after adjustment for sociodemographic and health indicators. Late MSFsc (B = -49.9, p = .004), late sleep-onset time (B = -32.4, p = .001), indication of DSPS (B = -73.8, p = .036), and moderately late chronotype in adulthood (B = -71.6, p = .003) were associated with significantly shorter LTL across both waves; whereas sleep duration and insomnia symptoms were not. Extremely early chronotype showed significantly less LTL shortening than intermediate chronotype (B = 161.40, p = .037). No predictors showed accelerated LTL attrition over 6 years. CONCLUSIONS Individuals with delayed circadian rhythm have significantly shorter LTL, but not faster LTL attrition rates.
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Affiliation(s)
- Dora Wynchank
- PsyQ Expertise Center Adult ADHD, The Hague, The Netherlands
| | - Denise Bijlenga
- PsyQ Expertise Center Adult ADHD, The Hague, The Netherlands
| | - Brenda W Penninx
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Femke Lamers
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Aartjan T Beekman
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - J J Sandra Kooij
- PsyQ Expertise Center Adult ADHD, The Hague, The Netherlands.,Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Josine E Verhoeven
- Department of Psychiatry, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
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78
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Fries GR, Zamzow MJ, Andrews T, Pink O, Scaini G, Quevedo J. Accelerated aging in bipolar disorder: A comprehensive review of molecular findings and their clinical implications. Neurosci Biobehav Rev 2020; 112:107-116. [DOI: 10.1016/j.neubiorev.2020.01.035] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 01/11/2020] [Accepted: 01/29/2020] [Indexed: 01/08/2023]
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79
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Bersani FS, Canevelli M, Cesari M, Maggioni E, Pasquini M, Wolkowitz OM, Ferracuti S, Biondi M, Bruno G. Frailty Index as a clinical measure of biological age in psychiatry. J Affect Disord 2020; 268:183-187. [PMID: 32174476 DOI: 10.1016/j.jad.2020.03.015] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 02/25/2020] [Accepted: 03/04/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Serious mental illnesses may be characterized by accelerated biological aging, and over the last years the research on the topic has been stimulated by studies exploring the molecular underpinnings of senescence. METHODS In the present manuscript we propose that measuring frailty, a general product of organismal ageing, through the "Frailty Index" (FI), a recently-emerged macroscopic indicator of functional status and biological age, adds an important marker to the measurements currently implemented in the study of accelerated biological age in psychiatric illnesses. RESULTS The FI quantifies functional negative health attributes and measures their cumulative effect, thus providing a useful estimate of the individual's biological age and risk profile. Recent studies in older adults have observed significant associations between FI and molecular measures of aging. LIMITATIONS High FI values can be driven by causes different from aging per se, so FI may be a sensitive but not specific measure of biological aging. CONCLUSIONS FI, which is extensively used in geriatrics and gerontology but it has rarely been used in relation to mental health, may be of relevance in the evaluation of age-related phenomena associated with psychiatric diseases.
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Affiliation(s)
| | - Marco Canevelli
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy; National Center for Disease Prevention and Health Promotion, National Institute of Health, Rome, Italy
| | - Matteo Cesari
- Fondazione IRCCS Ca, Granda Ospedale Maggiore Policlinico, Milan, Italy; Geriatric Unit, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Eleonora Maggioni
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Massimo Pasquini
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Owen M Wolkowitz
- Department of Psychiatry, University of California San Francisco, San Francisco, USA
| | - Stefano Ferracuti
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Massimo Biondi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Giuseppe Bruno
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
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80
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Manchia M, Paribello P, Arzedi C, Bocchetta A, Caria P, Cocco C, Congiu D, Cossu E, Dettori T, Frau DV, Garzilli M, Manca E, Meloni A, Montis MA, Mura A, Nieddu M, Noli B, Pinna F, Pisanu C, Robledo R, Severino G, Sogos V, Chillotti C, Carpiniello B, Del Zompo M, Ferri GL, Vanni R, Squassina A. A multidisciplinary approach to mental illness: do inflammation, telomere length and microbiota form a loop? A protocol for a cross-sectional study on the complex relationship between inflammation, telomere length, gut microbiota and psychiatric disorders. BMJ Open 2020; 10:e032513. [PMID: 31988227 PMCID: PMC7045141 DOI: 10.1136/bmjopen-2019-032513] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Severe psychiatric disorders are typically associated with a significant reduction in life expectancy compared with the general population. Among the different hypotheses formulated to explain this observation, accelerated ageing has been increasingly recognised as the main culprit. At the same time, telomere shortening is becoming widely accepted as a proxy molecular marker of ageing. The present study aims to fill a gap in the literature by better defining the complex interaction/s between inflammation, age-related comorbidities, telomere shortening and gut microbiota in psychiatric disorders. METHODS AND ANALYSIS A cross-sectional study is proposed, recruiting 40 patients for each of three different diagnostic categories (bipolar disorder, schizophrenia and major depressive disorder) treated at the Section of Psychiatry and at the Unit of Clinical Pharmacology of the University Hospital Agency of Cagliari (Italy), compared with 40 age-matched and sex-matched non-psychiatric controls. Each group includes individuals suffering, or not, from age-related comorbidities, to account for the impact of these medical conditions on the biological make-up of recruited patients. The inflammatory state, microbiota composition and telomere length (TL) are assessed. ETHICS AND DISSEMINATION The study protocol was approved by the Ethics Committee of the University Hospital Agency of Cagliari (PG/2018/11693, 5 September 2018). The study is conducted in accordance with the principles of good clinical practice and the Declaration of Helsinki, and in compliance with the relevant Italian national legislation. Written, informed consent is obtained from all participants. Participation in the study is on a voluntary basis only. Patients will be part of the dissemination phase of the study results, during which a local conference will be organised and families of patients will also be involved. Moreover, findings will be published in one or more research papers and presented at national and international conferences, in posters or oral communications.
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Affiliation(s)
- Mirko Manchia
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
- Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Pasquale Paribello
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Carlo Arzedi
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Alberto Bocchetta
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Paola Caria
- Unit of Biology and Genetics, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Cristina Cocco
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Cagliari, Italy
| | - Donatella Congiu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Eleonora Cossu
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Tinuccia Dettori
- Unit of Biology and Genetics, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Daniela V Frau
- Unit of Biology and Genetics, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Mario Garzilli
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Elias Manca
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Cagliari, Italy
| | - Anna Meloni
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Maria A Montis
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Andrea Mura
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Mariella Nieddu
- Unit of Biology and Genetics, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Barbara Noli
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Cagliari, Italy
| | - Federica Pinna
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Renato Robledo
- Unit of Biology and Genetics, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Giovanni Severino
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Valeria Sogos
- Department of Biomedical Sciences, Section of Cytomorphology, University of Cagliari, Cagliari, Italy
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Bernardo Carpiniello
- Unit of Psychiatry, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Maria Del Zompo
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Gian Luca Ferri
- Department of Biomedical Sciences, NEF Laboratory, University of Cagliari, Cagliari, Italy
| | - Roberta Vanni
- Unit of Biology and Genetics, Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
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Wade M, Fox NA, Zeanah CH, Nelson CA, Drury SS. Telomere Length and Psychopathology: Specificity and Direction of Effects Within the Bucharest Early Intervention Project. J Am Acad Child Adolesc Psychiatry 2020; 59:140-148.e3. [PMID: 30844465 PMCID: PMC8056885 DOI: 10.1016/j.jaac.2019.02.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Revised: 01/27/2019] [Accepted: 02/26/2019] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Telomere length (TL) has been linked to several psychiatric conditions in children and adults. Telomere shortening is accelerated by early adversity, including maltreatment and psychosocial deprivation. These experiences also increase the risk of psychopathology in many domains. Two fundamental issues remain unresolved. The first concerns the specificity of the relations between TL and different dimensions of psychopathology; and the second relates to the direction of association between TL and psychopathology. METHOD This study addressed these shortcomings in a 2-fold manner. First, the association between TL and statistically independent general, internalizing, and externalizing psychopathology factors was examined to determine the specificity of this relation. Second, a 2-wave longitudinal cross-lagged model was used to explicitly examine the direction of the relation between TL and each psychopathology factor. Data were drawn from the Bucharest Early Intervention Project, a longitudinal study exploring the impact of severe psychosocial deprivation on child health and development (N = 195). At 8 to 10 and 12 to 14 years of age, buccal DNA was collected and teachers and/or caregivers reported on different domains of psychopathology. RESULTS Longitudinal path analyses showed that shorter TL was specifically associated with higher internalizing psychopathology at 8 to 10 years of age. In contrast, at 12 to 14 years, shorter TL was associated with higher general psychopathology. Most telling, internalizing psychopathology at 8 to 10 years predicted shorter TL at 12 to 14 years, with no reciprocal effects. CONCLUSION Results suggest that telomere erosion could be a consequence of distress-related psychopathology rather than a selection mechanism for later psychiatric problems. CLINICAL TRIAL REGISTRATION INFORMATION The Bucharest Early Intervention Project; https://clinicaltrials.gov/; NCT00747396.
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Affiliation(s)
- Mark Wade
- Boston Children's Hospital and Harvard Medical School, Boston, MA.
| | | | | | - Charles A Nelson
- Boston Children's Hospital and Harvard Medical School, Boston, MA; Harvard Graduate School of Education, Cambridge, MA
| | - Stacy S Drury
- Tulane University School of Medicine, New Orleans, LA
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82
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Middeldorp CM. Editorial: Childhood Stress and Psychopathology: It's Not Too Early to Look at Biological Aging. J Am Acad Child Adolesc Psychiatry 2020; 59:38-39. [PMID: 31585157 DOI: 10.1016/j.jaac.2019.09.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 09/05/2019] [Indexed: 11/26/2022]
Abstract
There has been growing interest in the associations among biological aging, stress, and psychopathology. Biological aging reflects an individual's functional and biological condition, and one of the indicators is telomere length.1 Telomeres consist of DNA repeats at chromosome ends.2 It is a normal process that telomeres shorten during the lifespan, but this process can be accelerated and result in biological aging associated with morbidity and mortality.2.
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Affiliation(s)
- Christel M Middeldorp
- Child Health Research Centre, University of Queensland, Brisbane, Australia; Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, Brisbane, Australia; Vrije Universiteit Amsterdam, The Netherlands.
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83
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Lundberg M, Millischer V, Backlund L, Martinsson L, Stenvinkel P, Sellgren CM, Lavebratt C, Schalling M. Lithium and the Interplay Between Telomeres and Mitochondria in Bipolar Disorder. Front Psychiatry 2020; 11:586083. [PMID: 33132941 PMCID: PMC7553080 DOI: 10.3389/fpsyt.2020.586083] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 08/31/2020] [Indexed: 01/06/2023] Open
Abstract
Bipolar disorder is a severe psychiatric disorder which affects more than 1% of the world's population and is a leading cause of disability among young people. For the past 50 years, lithium has been the drug of choice for maintenance treatment of bipolar disorder due to its potent ability to prevent both manic and depressive episodes as well as suicide. However, though lithium has been associated with a multitude of effects within different cellular pathways and biological systems, its specific mechanism of action in stabilizing mood remains largely elusive. Mitochondrial dysfunction and telomere shortening have been implicated in both the pathophysiology of bipolar disorder and as targets of lithium treatment. Interestingly, it has in recent years become clear that these phenomena are intimately linked, partly through reactive oxygen species signaling and the subcellular translocation and non-canonical actions of telomerase reverse transcriptase. In this review, we integrate the current understanding of mitochondrial dysfunction, oxidative stress and telomere shortening in bipolar disorder with documented effects of lithium. Moreover, we propose that lithium's mechanism of action is intimately connected with the interdependent regulation of mitochondrial bioenergetics and telomere maintenance.
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Affiliation(s)
- Martin Lundberg
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Vincent Millischer
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Lena Backlund
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Lina Martinsson
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Healthcare Services, Region Stockholm, Stockholm, Sweden
| | - Peter Stenvinkel
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Carl M Sellgren
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Healthcare Services, Region Stockholm, Stockholm, Sweden.,Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Catharina Lavebratt
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Martin Schalling
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
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Lever-van Milligen BA, Verhoeven JE, Schmaal L, van Velzen LS, Révész D, Black CN, Han LKM, Horsfall M, Batelaan NM, van Balkom AJLM, van Schaik DJF, van Oppen P, Penninx BWJH. The impact of depression and anxiety treatment on biological aging and metabolic stress: study protocol of the MOod treatment with antidepressants or running (MOTAR) study. BMC Psychiatry 2019; 19:425. [PMID: 31888565 PMCID: PMC6937704 DOI: 10.1186/s12888-019-2404-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 12/11/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Depressive and anxiety disorders have shown to be associated to premature or advanced biological aging and consequently to adversely impact somatic health. Treatments with antidepressant medication or running therapy are both found to be effective for many but not all patients with mood and anxiety disorders. These interventions may, however, work through different pathophysiological mechanisms and could differ in their impact on biological aging and somatic health. This study protocol describes the design of an unique intervention study that examines whether both treatments are similarly effective in reducing or reversing biological aging (primary outcome), psychiatric status, metabolic stress and neurobiological indicators (secondary outcomes). METHODS The MOod Treatment with Antidepressants or Running (MOTAR) study will recruit a total of 160 patients with a current major depressive and/or anxiety disorder in a mental health care setting. Patients will receive a 16-week treatment with either antidepressant medication or running therapy (3 times/week). Patients will undergo the treatment of their preference and a subsample will be randomized (1:1) to overcome preference bias. An additional no-disease-no-treatment group of 60 healthy controls without lifetime psychopathology, will be included as comparison group for primary and secondary outcomes at baseline. Assessments are done at week 0 for patients and controls, and at week 16 and week 52 for patients only, including written questionnaires, a psychiatric and medical examination, blood, urine and saliva collection and a cycle ergometer test, to gather information about biological aging (telomere length and telomerase activity), mental health (depression and anxiety disorder characteristics), general fitness, metabolic stress-related biomarkers (inflammation, metabolic syndrome, cortisol) and genetic determinants. In addition, neurobiological alterations in brain processes will be assessed using structural and functional Magnetic Resonance Imaging (MRI) in a subsample of at least 25 patients per treatment arm and in all controls. DISCUSSION This intervention study aims to provide a better understanding of the impact of antidepressant medication and running therapy on biological aging, metabolic stress and neurobiological indicators in patients with depressive and anxiety disorders in order to guide a more personalized medicine treatment. TRIAL REGISTRATION Trialregister.nl Number of identification: NTR3460, May 2012.
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Affiliation(s)
- Bianca A. Lever-van Milligen
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Josine E. Verhoeven
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Lianne Schmaal
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Laura S. van Velzen
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Dóra Révész
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Catherine N. Black
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Laura K. M. Han
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Melany Horsfall
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Neeltje M. Batelaan
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Anton J. L. M. van Balkom
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Digna J. F. van Schaik
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Patricia van Oppen
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Brenda W. J. H. Penninx
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands ,0000 0004 0546 0540grid.420193.dGGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
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Månsson KNT, Lindqvist D, Yang LL, Svanborg C, Isung J, Nilsonne G, Bergman-Nordgren L, El Alaoui S, Hedman-Lagerlöf E, Kraepelien M, Högström J, Andersson G, Boraxbekk CJ, Fischer H, Lavebratt C, Wolkowitz OM, Furmark T. Improvement in indices of cellular protection after psychological treatment for social anxiety disorder. Transl Psychiatry 2019; 9:340. [PMID: 31852887 PMCID: PMC6920472 DOI: 10.1038/s41398-019-0668-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 11/11/2019] [Accepted: 11/22/2019] [Indexed: 12/12/2022] Open
Abstract
Telomere attrition is a hallmark of cellular aging and shorter telomeres have been reported in mood and anxiety disorders. Telomere shortening is counteracted by the enzyme telomerase and cellular protection is also provided by the antioxidant enzyme glutathione peroxidase (GPx). Here, telomerase, GPx, and telomeres were investigated in 46 social anxiety disorder (SAD) patients in a within-subject design with repeated measures before and after cognitive behavioral therapy. Treatment outcome was assessed by the Liebowitz Social Anxiety Scale (self-report), administered three times before treatment to control for time and regression artifacts, and posttreatment. Venipunctures were performed twice before treatment, separated by 9 weeks, and once posttreatment. Telomerase activity and telomere length were measured in peripheral blood mononuclear cells and GPx activity in plasma. All patients contributed with complete data. Results showed that social anxiety symptom severity was significantly reduced from pretreatment to posttreatment (Cohen's d = 1.46). There were no significant alterations in telomeres or cellular protection markers before treatment onset. Telomere length and telomerase activity did not change significantly after treatment, but an increase in telomerase over treatment was associated with reduced social anxiety. Also, lower pretreatment telomerase activity predicted subsequent symptom improvement. GPx activity increased significantly during treatment, and increases were significantly associated with symptom improvement. The relationships between symptom improvement and putative protective enzymes remained significant also after controlling for body mass index, sex, duration of SAD, smoking, concurrent psychotropic medication, and the proportion of lymphocytes to monocytes. Thus, indices of cellular protection may be involved in the therapeutic mechanisms of psychological treatment for anxiety.
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Affiliation(s)
- Kristoffer N. T. Månsson
- 0000 0004 1937 0626grid.4714.6Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden ,0000 0004 1936 9377grid.10548.38Department of Psychology, Stockholm University, Stockholm, Sweden ,0000 0004 1936 9457grid.8993.bDepartment of Psychology, Uppsala University, Uppsala, Sweden
| | - Daniel Lindqvist
- 0000 0001 0930 2361grid.4514.4Department of Clinical Sciences Lund, Psychiatry, , Lund University, Lund, Sweden
| | - Liu L. Yang
- 0000 0004 1937 0626grid.4714.6Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden ,0000 0000 9241 5705grid.24381.3cCenter for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Cecilia Svanborg
- 0000 0004 1937 0626grid.4714.6Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Josef Isung
- 0000 0004 1937 0626grid.4714.6Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Gustav Nilsonne
- 0000 0004 1937 0626grid.4714.6Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden ,0000 0004 1936 9377grid.10548.38Stress Research Institute, Stockholm University, Stockholm, Sweden
| | - Lise Bergman-Nordgren
- 0000 0004 1937 0626grid.4714.6Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Samir El Alaoui
- 0000 0004 1937 0626grid.4714.6Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Erik Hedman-Lagerlöf
- 0000 0004 1937 0626grid.4714.6Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Martin Kraepelien
- 0000 0004 1937 0626grid.4714.6Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Jens Högström
- 0000 0004 1937 0626grid.4714.6Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Gerhard Andersson
- 0000 0004 1937 0626grid.4714.6Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden ,0000 0001 2162 9922grid.5640.7Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
| | - Carl-Johan Boraxbekk
- 0000 0001 1034 3451grid.12650.30Centre for Demographic and Ageing Research, Umeå University, Umeå, Sweden ,0000 0004 0646 7373grid.4973.9Center for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Hvidovre, Denmark
| | - Håkan Fischer
- 0000 0004 1936 9377grid.10548.38Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Catharina Lavebratt
- 0000 0004 1937 0626grid.4714.6Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden ,0000 0000 9241 5705grid.24381.3cCenter for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Owen M. Wolkowitz
- 0000 0001 2297 6811grid.266102.1Department of Psychiatry, University of California, San Francisco, CA USA
| | - Tomas Furmark
- 0000 0004 1936 9457grid.8993.bDepartment of Psychology, Uppsala University, Uppsala, Sweden
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Navarro-Mateu F, Rubio-Aparicio M, Cayuela P, Álvarez FJ, Roca-Vega A, Chirlaque MD, Cayuela ML, Husky M, Martínez S, Sánchez-Meca J. The association of telomere length with substance use disorders: systematic review and meta-analysis protocol. Syst Rev 2019; 8:298. [PMID: 31787100 PMCID: PMC6886210 DOI: 10.1186/s13643-019-1199-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 10/15/2019] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The present protocol was designed for a systematic review and meta-analysis aimed at determining the association of telomere length with substance use disorders with the exclusion of nicotine addiction, and to identify potential moderators of the effect of telomere length. Such methodological information may provide guidance to improve the quality of future research on this important topic. METHODS Potential studies will be identified through electronic databases (PubMed/MEDLINE, EMBASE, PsycINFO, and Web of Science) up from inception onwards. The inclusion criteria will include published or unpublished observational studies (cohort, case-control, and cross-sectional studies) reporting telomere length in adult patients with substance use disorder compared with a control group. Non-human studies or other study designs such as reviews, case-only, family-based, and/or population studies with only healthy participants will be excluded, as well as those focused solely on nicotine addiction. The main outcome will be telomere length in adults with substance use disorder (primary) and, specifically, in those with alcohol use disorder (secondary). Two investigators will independently evaluate the preselected studies for possible inclusion and will extract data following a standardized protocol. Disagreements will be resolved by consensus. The risk of bias of all included studies will be assessed using the Newcastle-Ottawa Quality Assessment Scale for non-randomized studies. Data will be converted into standardized mean differences as effect size index, and random-effects models will be used for the meta-analysis. Cochran's Q statistic, I2 index, and visual inspection of the forest plot will be used to verify study heterogeneity. Subgroup analyses and meta-regressions will be conducted to ascertain heterogeneity. Several sensitivity analyses will be conducted to address the influence of potential confounding factors. Publication bias will be examined using the "funnel plot" method with Duval and Tweedie's trim-and-fill method and Egger test. DISCUSSION This systematic review will assess the association of telomere length with substance use disorders aside from nicotine addiction. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration number CRD42019119785.
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Affiliation(s)
- Fernando Navarro-Mateu
- Unidad de Docencia, Investigación y Formación en Salud Mental (UDIF-SM), Servicio Murciano de Salud, c/ Lorca, n° 58, 30120, Murcia, Spain. .,CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. .,IMIB-Arrixaca, Murcia, Spain. .,Departamento de Psicología Básica y Metodología, University of Murcia, Murcia, Spain.
| | | | - Pedro Cayuela
- Escuela Universitaria de Enfermería de Cartagena, University of Murcia, Murcia, Spain
| | - Francisco-Javier Álvarez
- Unidad de Docencia, Investigación y Formación en Salud Mental (UDIF-SM), Servicio Murciano de Salud, c/ Lorca, n° 58, 30120, Murcia, Spain
| | - Agustín Roca-Vega
- Biblioteca Virtual MurciaSalud, Centro Tecnológico de Información y Documentación Sanitaria, Servicio Murciano de Salud, Murcia, Spain
| | - María Dolores Chirlaque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,IMIB-Arrixaca, Murcia, Spain.,Servicio de Epidemiología, Consejería de Salud, Murcia, Spain.,Departamento de Ciencias Sociosanitarias, University of Murcia, Murcia, Spain
| | - María Luisa Cayuela
- IMIB-Arrixaca, Murcia, Spain.,Grupo Telomerasa, Cáncer y Envejecimiento, Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain
| | - Mathilde Husky
- Laboratoire de Psychologie EA4139, Université de Bordeaux, Bordeaux, France
| | | | - Julio Sánchez-Meca
- Departamento de Psicología Básica y Metodología, University of Murcia, Murcia, Spain
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Pisanu C, Tsermpini EE, Skokou M, Kordou Z, Gourzis P, Assimakopoulos K, Congiu D, Meloni A, Balasopoulos D, Patrinos GP, Squassina A. Leukocyte telomere length is reduced in patients with major depressive disorder. Drug Dev Res 2019; 81:268-273. [DOI: 10.1002/ddr.21612] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 09/30/2019] [Accepted: 10/01/2019] [Indexed: 12/12/2022]
Affiliation(s)
- Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical PharmacologyUniversity of Cagliari Cagliari Italy
| | | | - Maria Skokou
- Psychiatric Clinic, Patras General Hospital Patras Greece
| | - Zoe Kordou
- Department of PharmacyUniversity of Patras School of Health Sciences Patras Greece
| | - Philippos Gourzis
- Department of MedicineUniversity of Patras School of Health Sciences Patras Greece
| | | | - Donatella Congiu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical PharmacologyUniversity of Cagliari Cagliari Italy
| | - Anna Meloni
- Department of Biomedical Sciences, Section of Neuroscience and Clinical PharmacologyUniversity of Cagliari Cagliari Italy
| | | | - George P. Patrinos
- Department of PharmacyUniversity of Patras School of Health Sciences Patras Greece
- Department of PathologyUnited Arab Emirates University, College of Medicine and Health Sciences Al‐Ain UAE
- Zayed Center of Health SciencesUnited Arab Emirates University Al‐Ain UAE
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical PharmacologyUniversity of Cagliari Cagliari Italy
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88
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Effect of alcohol use disorder on cellular aging. Psychopharmacology (Berl) 2019; 236:3245-3255. [PMID: 31161452 DOI: 10.1007/s00213-019-05281-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 05/14/2019] [Indexed: 12/29/2022]
Abstract
RATIONALE Human telomeres consist of tandem repeats at chromosome ends which protect chromosomal DNA from degradation. Telomere shortening occurs as part of natural aging; however, life stressors, smoking, drug use, BMI, and psychiatric disorders could disrupt cell aging and affect telomere length (TL). In this context, studies have evaluated the effects of alcohol consumption on TL; however, results have been inconsistent, which may reflect diverse drinking cut-offs and categorizations. OBJECTIVES To help clarify this, the present study addresses the association of TL with alcohol use disorder (AUD), drinking behaviors, lifetime stress, and chronological age. METHODS TL was quantified as the telomere to albumin ratio (T/S ratio) obtained from peripheral blood DNA using the quantitative PCR assay, from 260 participants with AUD and 449 non-dependent healthy controls (HC) from an existing National Institute on Alcohol Abuse and Alcoholism (NIAAA) database. RESULTS AUD participants showed shorter TL compared to HC with both, age, and AUD, as independent predictors as well as a significant AUD with age interaction effect on TL. TL was also associated with impulsiveness in AUD participants. We did not observe an association between TL and chronicity of alcohol use, alcohol doses ingested, or childhood trauma exposures in either AUD or HC, although very few HC reported a history of childhood trauma. CONCLUSION Our results support previous findings of telomere shortening with chronic alcohol exposures and show both an effect of AUD on TL that is independent of age as well as a significant AUD by age interaction on TL. These findings are consistent with accelerated cellular aging in AUD.
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Valiati FE, Hizo GH, Pinto JV, Kauer-Sant`Anna M. The Possible Role of Telomere Length and Chemokines in the Aging Process: A Transdiagnostic Review in Psychiatry. CURRENT PSYCHIATRY RESEARCH AND REVIEWS 2019. [DOI: 10.2174/1573400515666190719155906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:Psychiatric disorders are common, reaching a worldwide prevalence of 29.2%. They are associated with a high risk of premature death and with accelerated aging in clinical, molecular and neuroimaging studies. Recently, there is strong evidence suggesting a possible role of telomere length and chemokines in aging processes in psychiatric disorders.Objective:We aimed to review the literature on telomere length and chemokines and its association with early aging in mental illnesses on a transdiagnostic approach.Results:The review highlights the association between psychiatric disorders and early aging. Several independent studies have reported shorter telomere length and dysregulations on levels of circulating chemokines in schizophrenia, bipolar disorder, major depressive disorder, and anxiety disorders, suggesting a complex interaction between these markers in a transdiagnostic level. However, studies have investigated the inflammatory markers and telomere shortening separately and associated with a particular diagnosis, rather than as a transdiagnostic biological feature.Conclusion:There is consistent evidence supporting the relationship between accelerated aging, telomere length, and chemokines in mental disorders, but they have been studied individually. Thus, more research is needed to improve the knowledge of accelerated senescence and its biomarkers in psychiatry, not only individually in each diagnosis, but also based on a transdiagnostic perspective. Moreover, further research should try to elucidate how the intricate association between the chemokines and telomeres together may contribute to the aging process in psychiatric disorders.
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Affiliation(s)
- Fernanda Endler Valiati
- Laboratory of Molecular Psychiatry, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Gabriel Henrique Hizo
- Laboratory of Molecular Psychiatry, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Jairo Vinícius Pinto
- Laboratory of Molecular Psychiatry, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Márcia Kauer-Sant`Anna
- Laboratory of Molecular Psychiatry, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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90
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Leibel DK, Shaked D, Beatty Moody DL, Liu HB, Weng NP, Evans MK, Zonderman AB, Waldstein SR. Telomere length and cognitive function: Differential patterns across sociodemographic groups. Neuropsychology 2019; 34:186-198. [PMID: 31613132 DOI: 10.1037/neu0000601] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE The present study investigates whether associations between telomere length (TL) and cognitive performance across multiple domains are moderated by poverty status and race. METHOD Participants were 325 African American and White urban-dwelling adults (M age = 47.9 years; 49.5% African American; 50.2% female; 48.9% living in poverty) from the Healthy Aging in Neighborhoods of Diversity across the Life Span study. TL was assayed from peripheral blood mononuclear cells using quantitative polymerase chain reactions. Multivariable regression analyses examined interactions of TL, poverty status, and race with performance on the following cognitive tests: Trail-Making Test Parts A and B, Digit Span Forward and Backward, semantic verbal fluency, Brief Test of Attention, Benton Visual Retention Test (BVRT), and California Verbal Learning Test-II total learning, short-delay free recall, and long-delay free recall scores. Analyses adjusted for age, sex, and high school-or-greater educational attainment. RESULTS Significant three-way interactions of TL × Poverty Status × Race revealed that, among White participants living in poverty, shorter TL was associated with worse performance on Digit Span Forward and Backward (ps<.05). Additionally, significant two-way interactions of TL × Poverty Status revealed that, among all participants living in poverty, shorter TL was associated with worse performance on the Trail-Making Test Part B and the BVRT (ps<.05). CONCLUSIONS TL may be differentially associated with aspects of attention, executive functioning, and memory among individuals living in poverty, who may be uniquely vulnerable to adverse effects of shorter telomeres. Replication of these findings is needed to determine their generalizability. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
| | | | | | - Hans B Liu
- Johns Hopkins Bloomberg School of Public Health
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91
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Niedzwiedz CL, Katikireddi SV, Pell JP, Smith DJ. Sex differences in the association between salivary telomere length and multimorbidity within the US Health & Retirement Study. Age Ageing 2019; 48:703-710. [PMID: 31165156 PMCID: PMC6984958 DOI: 10.1093/ageing/afz071] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Revised: 04/08/2019] [Accepted: 05/21/2019] [Indexed: 02/06/2023] Open
Abstract
Background Telomere length is associated with several physical and mental health conditions, but whether it is a marker of multimorbidity is unclear. We investigated associations between telomere length and multimorbidity by sex. Methods Data from adults (N = 5,495) aged ≥50 years were taken from the US Health and Retirement Study (2008–14). Telomere length was measured in 2008 from salivary samples. The cross-sectional associations between telomere length and eight chronic health conditions were explored using logistic regression, adjusting for confounders and stratified by sex. Logistic, ordinal and multinomial regression models were calculated to explore relationships between telomere length and multimorbidity (using a binary variable and a sum of the number of health conditions) and the type of multimorbidity (no multimorbidity, physical multimorbidity, or multimorbidity including psychiatric problems). Using multilevel logistic regression, prospective relationships between telomere length and incident multimorbidity were also explored. Results In cross-sectional analyses, longer telomeres were associated with reduced likelihood of lung disease and psychiatric problems among men, but not women. Longer telomeres were associated with lower risk of multimorbidity that included psychiatric problems among men (OR=0.521, 95% CI: 0.284 to 0.957), but not women (OR=1.188, 95% CI: 0.771 to 1.831). Prospective analyses suggested little association between telomere length and the onset of multimorbidity in men (OR=1.378, 95% CI: 0.931 to 2.038) nor women (OR=1.224, 95% CI: 0.825 to 1.815). Conclusions Although telomere length does not appear to be a biomarker of overall multimorbidity, further exploration of the relationships is merited particularly for multimorbidity including psychiatric conditions among men.
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Affiliation(s)
- Claire L Niedzwiedz
- Institute of Health & Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow
| | - Srinivasa Vittal Katikireddi
- Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit, Institute of Health & Wellbeing, University of Glasgow
| | - Jill P Pell
- Institute of Health & Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow
| | - Daniel J Smith
- Institute of Health & Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow
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Abstract
PURPOSE OF REVIEW Clinical, epidemiological, and biological evidence raises the possibility that serious mental disorders (SMDs) are associated with accelerated biological aging. To the extent this is true; SMDs should not simply be considered in terms of mental illness or brain dysfunction, but also as 'whole body' and multisystem illnesses, or else as conditions with significant somatic concomitants. RECENT FINDINGS The concept of accelerated biological aging in SMDs is supported by reports of accelerated changes in certain biomarkers normally associated with the aging process. SUMMARY We define and discuss several proposed biological aging markers that have been examined in SMDs, we review the most recent findings, and we conclude with opinions regarding the merits and meanings of these markers, their usefulness in understanding and treating SMDs, and remaining questions and future directions in this area of research.
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93
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Ridout KK, Parade SH, Kao HT, Magnan S, Seifer R, Porton B, Price LH, Tyrka AR. Childhood maltreatment, behavioral adjustment, and molecular markers of cellular aging in preschool-aged children: A cohort study. Psychoneuroendocrinology 2019; 107:261-269. [PMID: 31174164 PMCID: PMC7839663 DOI: 10.1016/j.psyneuen.2019.05.015] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 05/04/2019] [Accepted: 05/14/2019] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Childhood maltreatment is a major risk factor for the development of behavioral problems and poor physical and mental health. Accelerated cellular aging, through reduced telomere length and mitochondrial dysfunction, may be a mechanism underlying these associations. METHODS Families with (n = 133) and without (n = 123) child welfare documentation of moderate-severe maltreatment in the past six months participated in this study. Children ranged in age from 3 to 5 years, were racially and ethnically diverse, and 91% qualified for public assistance. Structured record review and interviews were used to assess a history of maltreatment and other adversities. Telomere length and mitochondrial DNA copy number (mtDNAcn) were measured from saliva DNA using real-time PCR. Measures were repeated at a six-month follow-up assessment. Repeated measures general linear models were used to examine the effects of maltreatment and other adversities on telomere length and mtDNAcn over time. RESULTS Maltreatment and other adverse experiences were significant positive predictors of both telomere length and mtDNAcn over time. Internalizing and externalizing behavior problems were also both significantly associated with telomere length, but only internalizing symptoms were associated with mtDNAcn. CONCLUSIONS This is the first study to show that mtDNAcn is altered in children with stress and trauma, and the findings are consistent with recent studies of adults. Surprisingly, children who experienced moderate-severe levels of maltreatment in the prior six months had longer telomeres, possibly reflecting compensatory changes in response to recent trauma. Telomere length and mtDNAcn were also associated with behavioral problems, suggesting that these measures of cellular aging may be causally implicated in the pathophysiology of stress-related conditions.
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Affiliation(s)
- Kathryn K. Ridout
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Stephanie H. Parade
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA,Bradley/Hasbro Children’s Research Center, E. P. Bradley Hospital, East Providence, RI, USA
| | - Hung-Teh Kao
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Stevie Magnan
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
| | - Ronald Seifer
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA,Bradley/Hasbro Children’s Research Center, E. P. Bradley Hospital, East Providence, RI, USA
| | - Barbara Porton
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Lawrence H. Price
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA,Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Audrey R. Tyrka
- Mood Disorders Research Program and Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA,Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA,Address Correspondence to: Audrey R. Tyrka, M.D., Ph.D., Butler Hospital, 345 Blackstone Blvd., Providence, RI 02906. TEL: (401) 455-6520. FAX: (401) 455-6534.
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Grieshober L, Wactawski-Wende J, Hageman Blair R, Mu L, Liu J, Nie J, Carty CL, Hale L, Kroenke CH, LaCroix AZ, Reiner AP, Ochs-Balcom HM. A Cross-Sectional Analysis of Telomere Length and Sleep in the Women's Health Initiative. Am J Epidemiol 2019; 188:1616-1626. [PMID: 31145433 PMCID: PMC6736371 DOI: 10.1093/aje/kwz134] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 05/20/2019] [Accepted: 05/20/2019] [Indexed: 12/20/2022] Open
Abstract
Telomere length is a heritable marker of cellular age that is associated with morbidity and mortality. Poor sleep behaviors, which are also associated with adverse health events, may be related to leukocyte telomere length (LTL). We studied a subpopulation of 3,145 postmenopausal women (1,796 European-American (EA) and 1,349 African-American (AA)) enrolled in the Women's Health Initiative in 1993-1998 with data on Southern blot-measured LTL and self-reported usual sleep duration and sleep disturbance. LTL-sleep associations were analyzed separately for duration and disturbance using weighted and confounder-adjusted linear regression models in the entire sample (AAs + EAs; adjusted for race/ethnicity) and in racial/ethnic strata, since LTL differs by ancestry. After adjustment for covariates, each additional daily hour of sleep beyond 5 hours, approximately, was associated with a 27-base-pair (95% confidence interval (CI): 6, 48) longer LTL in the entire sample. Associations between sleep duration and LTL were strongest among AAs (adjusted β = 37, 95% CI: 4, 70); a similar, nonsignificant association was observed for EAs (adjusted β = 20, 95% CI: -7, 48). Sleep disturbance was not associated with LTL in our study. Our models did not show departure from linearity (quadratic sleep terms: P ≥ 0.55). Our results suggest that longer sleep duration is associated with longer LTL in postmenopausal women.
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Affiliation(s)
- Laurie Grieshober
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, New York
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, New York
| | - Rachael Hageman Blair
- Department of Biostatistics, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, New York
| | - Lina Mu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, New York
| | - Jingmin Liu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jing Nie
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, New York
| | - Cara L Carty
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Lauren Hale
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Stony Brook University, Stony Brook, New York
| | - Candyce H Kroenke
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Andrea Z LaCroix
- Division of Epidemiology, Department of Family Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla, California
| | - Alex P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
| | - Heather M Ochs-Balcom
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, New York
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Muneer A, Minhas FA. Telomere Biology in Mood Disorders: An Updated, Comprehensive Review of the Literature. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2019; 17:343-363. [PMID: 31352701 PMCID: PMC6705109 DOI: 10.9758/cpn.2019.17.3.343] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 03/28/2019] [Accepted: 04/15/2019] [Indexed: 12/19/2022]
Abstract
Major psychiatric disorders are linked to early mortality and patients afflicted with these ailments demonstrate an increased risk of developing physical diseases that are characteristically seen in the elderly. Psychiatric conditions like major depressive disorder, bipolar disorder and schizophrenia may be associated with accelerated cellular aging, indicated by shortened leukocyte telomere length (LTL), which could underlie this connection. Telomere shortening occurs with repeated cell division and is reflective of a cell’s mitotic history. It is also influenced by cumulative exposure to inflammation and oxidative stress as well as the availability of telomerase, the telomere-lengthening enzyme. Precariously short telomeres can cause cells to undergo senescence, apoptosis or genomic instability; shorter LTL correlates with compromised general health and foretells mortality. Important data specify that LTL may be reduced in principal psychiatric illnesses, possibly in proportion to exposure to the ailment. Telomerase, as measured in peripheral blood monocytes, has been less well characterized in psychiatric illnesses, but a role in mood disorder has been suggested by preclinical and clinical studies. In this manuscript, the most recent studies on LTL and telomerase activity in mood disorders are comprehensively reviewed, potential mediators are discussed, and future directions are suggested. An enhanced comprehension of cellular aging in psychiatric illnesses could lead to their re-conceptualizing as systemic ailments with manifestations both inside and outside the brain. At the same time this paradigm shift could identify new treatment targets, helpful in bringing about lasting cures to innumerable sufferers across the globe.
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Affiliation(s)
- Ather Muneer
- Department of Psychiatry, Islamic International Medical College, Riphah International University, Rawalpindi, Pakistan
| | - Fareed Aslam Minhas
- Department of Psychiatry, WHO Collaborating Center, Rawalpindi Medical University, Rawalpindi, Pakistan
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96
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Besteher B, Gaser C, Nenadić I. Machine-learning based brain age estimation in major depression showing no evidence of accelerated aging. Psychiatry Res Neuroimaging 2019; 290:1-4. [PMID: 31247471 DOI: 10.1016/j.pscychresns.2019.06.001] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 06/07/2019] [Accepted: 06/11/2019] [Indexed: 11/26/2022]
Abstract
Molecular biological findings indicate that affective disorders are associated with processes akin to accelerated aging of the brain. The use of the BrainAGE (brain age estimation gap) framework allows machine-learning based detection of a gap between age estimated from high-resolution MRI scans an chronological age, and thus an indicator of systems-level accelerated aging. We analysed 3T high-resolution structural MRI scans in 38 major depression patients (without co-morbid axis I or II disorders) and 40 healthy controls using the BrainAGE method to test the hypothesis of accelerated aging in (non-psychotic) major depression. We found no significant difference (or trend) for elevated BrainAGE in this pilot sample. Unlike previous findings in schizophrenia (and partially bipolar disorder), unipolar depression per se does not seem to be associated with accelerated aging patterns across the brain. However, given the limitations of the sample, further study is needed to test for effects in subgroups with comorbidities, as well as longitudinal designs.
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Affiliation(s)
- Bianca Besteher
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07743 Jena, Germany.
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07743 Jena, Germany; Department of Neurology, Jena University Hospital, Jena, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg / Marburg University Hospital - UKGM, Marburg, Germany.
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97
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Han LKM, Verhoeven JE, Tyrka AR, Penninx BWJH, Wolkowitz OM, Månsson KNT, Lindqvist D, Boks MP, Révész D, Mellon SH, Picard M. Accelerating research on biological aging and mental health: Current challenges and future directions. Psychoneuroendocrinology 2019; 106:293-311. [PMID: 31154264 PMCID: PMC6589133 DOI: 10.1016/j.psyneuen.2019.04.004] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 01/22/2019] [Accepted: 04/02/2019] [Indexed: 12/13/2022]
Abstract
Aging is associated with complex biological changes that can be accelerated, slowed, or even temporarily reversed by biological and non-biological factors. This article focuses on the link between biological aging, psychological stressors, and mental illness. Rather than comprehensively reviewing this rapidly expanding field, we highlight challenges in this area of research and propose potential strategies to accelerate progress in this field. This effort requires the interaction of scientists across disciplines - including biology, psychiatry, psychology, and epidemiology; and across levels of analysis that emphasize different outcome measures - functional capacity, physiological, cellular, and molecular. Dialogues across disciplines and levels of analysis naturally lead to new opportunities for discovery but also to stimulating challenges. Some important challenges consist of 1) establishing the best objective and predictive biological age indicators or combinations of indicators, 2) identifying the basis for inter-individual differences in the rate of biological aging, and 3) examining to what extent interventions can delay, halt or temporarily reverse aging trajectories. Discovering how psychological states influence biological aging, and vice versa, has the potential to create novel and exciting opportunities for healthcare and possibly yield insights into the fundamental mechanisms that drive human aging.
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Affiliation(s)
- Laura KM Han
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Institute, Oldenaller 1, The Netherlands,Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Josine E Verhoeven
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Institute, Oldenaller 1, The Netherlands
| | - Audrey R Tyrka
- Butler Hospital and the Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Brenda WJH Penninx
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Institute, Oldenaller 1, The Netherlands,Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Owen M Wolkowitz
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, School of Medicine, San Francisco, CA, USA
| | - Kristoffer NT Månsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden,Department of Psychology, Stockholm University, Stockholm, Sweden,Department of Psychology, Uppsala University, Uppsala, Sweden
| | - Daniel Lindqvist
- Faculty of Medicine, Department of Clinical Sciences, Psychiatry, Lund University, Lund, Sweden,Department of Psychiatry, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA,Psychiatric Clinic, Lund, Division of Psychiatry, Lund, Sweden
| | - Marco P Boks
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, The Netherlands
| | - Dóra Révész
- Center of Research on Psychology in Somatic diseases (CoRPS), Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands
| | - Synthia H Mellon
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, School of Medicine, San Francisco, CA, USA
| | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Medical Center, New York, NY, USA; Department of Neurology, H. Houston Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Medical Center, New York, NY, USA; Columbia Aging Center, Columbia University, New York, NY, USA.
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98
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Hastings WJ, Shalev I, Belsky DW. Comparability of biological aging measures in the National Health and Nutrition Examination Study, 1999-2002. Psychoneuroendocrinology 2019; 106:171-178. [PMID: 30999227 PMCID: PMC6599717 DOI: 10.1016/j.psyneuen.2019.03.012] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 01/20/2019] [Accepted: 03/14/2019] [Indexed: 01/13/2023]
Abstract
BACKGROUND Biological processes of aging are thought to be modifiable causes of many different chronic diseases. Measures of biological aging could provide sensitive endpoints for studies of risk factors hypothesized to shorten healthy lifespan and/or interventions that extend it. But uncertainty remains about how to measure biological aging and if proposed measures assess the same thing. METHOD We tested four proposed measures of biological aging that could be quantified with available data from the National Health and Nutrition Examination Survey (NHANES), Klemera-Doubal method (KDM) Biological Age, homeostatic dysregulation, Levine Method (LM) Biological Age, and leukocyte telomere length. RESULTS We analyzed data collected during 1999-2002, when all four biological aging meausres could be taken. Participants' KDM biological ages, homeostatic dysregulation levels, LM biological ages, and telomere length were all correlated with their chronological ages. KDM Biological Age, homeostatic dysregulation, and LM Biological Age were all correlated with one another, but these measures were uncorrelated with telomere length. Participants' with more advanced biological aging performed worse on tests of physical, cognitive, and perceptual functioning and reported more limitations to their daily activities and more pain, and rated themselves as being in worse health. In parallel, participants with risk factors for shorter healthy lifespan exhibited more advanced biological aging. In both sets of analyses, effect-sizes tended to be larger for KDM Biological Age, homeostatic dysregulation, and LM Biological Age as compared to telomere length. DISCUSSION The cellular-level aging biomarker telomere length may measure different aspects of the aging process as compared to the patient-level physiological composite measures KDM Biological Age, homeostatic dysregulation, and LM Biological Age. Studies aiming to test if risk factors accelerate aging or if interventions may slow aging should not treat proposed measures of aging as interchangeable.
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Affiliation(s)
- Waylon J Hastings
- Department of Biobehavioral Health, Pennsylvania State University, United States
| | - Idan Shalev
- Department of Biobehavioral Health, Pennsylvania State University, United States
| | - Daniel W Belsky
- Department of Epidemiology, Columbia University Mailman School of Public Health, United States; Robert N. Butler Columbia Aging Center, Columbia University, United States.
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99
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Lindqvist D. Klotho gene variant moderates the relationship between stress and epigenetic aging. Brain Behav Immun 2019; 79:22-23. [PMID: 31100370 DOI: 10.1016/j.bbi.2019.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 05/13/2019] [Indexed: 10/26/2022] Open
Affiliation(s)
- Daniel Lindqvist
- Lund University, Faculty of Medicine, Department of Clinical Sciences, Psychiatry, Lund, Sweden.
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100
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Monroy-Jaramillo N, Dyukova E, Walss-Bass C. Telomere length in psychiatric disorders: Is it more than an ageing marker? World J Biol Psychiatry 2019; 19:S2-S20. [PMID: 28000540 DOI: 10.1080/15622975.2016.1273550] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVES Psychiatric and substance-use disorders have been associated with premature biological ageing. Telomere length (TL), considered an ageing marker, has been analysed in psychiatric disorders, and to a lesser extent in substance-use disorders, with recent findings suggesting TL may be related to disease pathology. METHODS We conducted a critical and non-systematic literature search of TL studies published up to June 2016 in psychiatric and substance-use disorders, focussing on studies describing mechanisms, including studies linking telomere biology with genetic factors, stress and mitochondrial alterations (104 studies selected). RESULTS Patients with major depressive disorder and anxiety appear to have shorter leukocyte telomeres compared to controls. Inconclusive results are found for other psychiatric disorders and for substance-use disorders. This may be due in part to differences in medication treatment and response, as studies suggest that some psychotropic medications may modulate TL. Importantly, some studies establish a relationship between telomere machinery, stress and mitochondria function in psychiatric and substance-use disorders. CONCLUSIONS While further longitudinal studies considering telomere genetics are needed to clarify the cause-effect link between telomeres and mitochondria function in psychiatric and substance-use disorders, the recent findings linking these biological processes suggest that telomeres may be more than ageing markers.
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Affiliation(s)
- Nancy Monroy-Jaramillo
- a Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences , McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth) , Houston , TX , USA.,b Department of Genetics , National Institute of Neurology and Neurosurgery, Manuel Velasco Suarez , Mexico City , Mexico
| | - Elena Dyukova
- a Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences , McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth) , Houston , TX , USA
| | - Consuelo Walss-Bass
- a Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences , McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth) , Houston , TX , USA
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