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Shen B, Pu Y, Zheng X, Liu Y, Yang L, Liu J, Li Z. Causal association of epigenetic age acceleration and risk of subacute thyroiditis: a bidirectional Mendelian randomization study. Clin Epigenetics 2024; 16:133. [PMID: 39300457 PMCID: PMC11412002 DOI: 10.1186/s13148-024-01743-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 09/13/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND Epigenetic age accelerations (EAAs) are a promising new avenue of research, yet their investigation in subacute thyroiditis (SAT) remains scarce. Our study endeavors to fill this void by exploring the potential causal association between EAAs and SAT. METHODS Our study utilized publicly available genome-wide association study (GWAS) data of European ancestry to conduct a bidirectional Mendelian randomization (MR) study. Five MR methods were employed to measure causal association between EAAs and SAT multiple analyses were utilized to perform quality control. RESULTS Our study evaluated causal association between SAT and four EAAs, included GrimAge acceleration (GrimAA), Hannum age acceleration (HannumAA), PhenoAge acceleration (PhenoAA), intrinsic epigenetic age acceleration (IEAA). Results showed that there is a significant causal association between PhenoAA and SAT (OR 1.109, 95% CI 1.000-1.228, p = 0.049, by IVW method). On the contrary, SAT was associated with IEAA (OR 0.933, 95% CI 0.884-0.984, p = 0.011, by IVW method; OR 0.938, 95% CI 0.881-0.998, p = 0.043, by weighted median method). Leave-one-out sensitivity analysis, heterogeneity test, pleiotropy test, and MR-PRESSO analysis provide good quality control. CONCLUSION The bidirectional MR analysis concluded that an increase in PhenoAA was correlated with a higher risk of SAT, indicating a potential causal relationship between PhenoAA and risk of SAT. Conversely, SAT was found to be closely associated with IEAA, suggesting that SAT may accelerate the aging process. Slowing down biological aging has emerged as a new research direction in curbing SAT.
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Affiliation(s)
- Bingbing Shen
- Division of Thyroid Surgery, Department of General Surgery, Laboratory of Thyroid and Parathyroid Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, No 37. Guoxue Alley, Chengdu, 610000, China
- Department of Respiratory and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, Center of Precision Medicine, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Yusheng Pu
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, 610000, China
- West China School of Nursing, Sichuan University, Chengdu, 610000, China
| | - Xiaofeng Zheng
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
- Center for Diabetes and Metabolism Research, Division of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610000, China
| | - Yang Liu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, 400010, China
| | - Lin Yang
- Department of Gynecology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, 400042, China
| | - Jiaye Liu
- Division of Thyroid Surgery, Department of General Surgery, Laboratory of Thyroid and Parathyroid Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, No 37. Guoxue Alley, Chengdu, 610000, China.
- Department of Respiratory and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, Center of Precision Medicine, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610000, China.
- Frontiers Medical Center, Tianfu Jincheng Laboratory, Sichuan University, Chengdu, 610000, China.
| | - Zhihui Li
- Division of Thyroid Surgery, Department of General Surgery, Laboratory of Thyroid and Parathyroid Diseases, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, No 37. Guoxue Alley, Chengdu, 610000, China.
- Department of Respiratory and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, Center of Precision Medicine, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610000, China.
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Postberg J, Schubert MT, Nin V, Wagner L, Piefke M. A perspective on epigenomic aging processes in the human brain and their plasticity in patients with mental disorders - a systematic review. Neurogenetics 2024:10.1007/s10048-024-00771-x. [PMID: 38967831 DOI: 10.1007/s10048-024-00771-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 06/28/2024] [Indexed: 07/06/2024]
Abstract
The debate surrounding nature versus nurture remains a central question in neuroscience, psychology, and in psychiatry, holding implications for both aging processes and the etiology of mental illness. Epigenetics can serve as a bridge between genetic predisposition and environmental influences, thus offering a potential avenue for addressing these questions. Epigenetic clocks, in particular, offer a theoretical framework for measuring biological age based on DNA methylation signatures, enabling the identification of disparities between biological and chronological age. This structured review seeks to consolidate current knowledge regarding the relationship between mental disorders and epigenetic age within the brain. Through a comprehensive literature search encompassing databases such as EBSCO, PubMed, and ClinicalTrials.gov, relevant studies were identified and analyzed. Studies that met inclusion criteria were scrutinized, focusing on those with large sample sizes, analyses of both brain tissue and blood samples, investigation of frontal cortex markers, and a specific emphasis on schizophrenia and depressive disorders. Our review revealed a paucity of significant findings, yet notable insights emerged from studies meeting specific criteria. Studies characterized by extensive sample sizes, analysis of brain tissue and blood samples, assessment of frontal cortex markers, and a focus on schizophrenia and depressive disorders yielded particularly noteworthy results. Despite the limited number of significant findings, these studies shed light on the complex interplay between epigenetic aging and mental illness. While the current body of literature on epigenetic aging in mental disorders presents limited significant findings, it underscores the importance of further research in this area. Future studies should prioritize large sample sizes, comprehensive analyses of brain tissue and blood samples, exploration of specific brain regions such as the frontal cortex, and a focus on key mental disorders. Such endeavors will contribute to a deeper understanding of the relationship between epigenetic aging and mental illness, potentially informing novel diagnostic and therapeutic approaches.
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Affiliation(s)
- Jan Postberg
- Clinical Molecular Genetics and Epigenetics, Faculty of Health, Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany.
- Centre for Biomedical Education & Research (ZBAF), Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany.
| | - Michèle Tina Schubert
- Neurobiology and Genetics of Behavior, Department of Psychology and Psychotherapy, Faculty of Health, Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany
| | - Vincent Nin
- Neurobiology and Genetics of Behavior, Department of Psychology and Psychotherapy, Faculty of Health, Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany
| | - Lukas Wagner
- Neurobiology and Genetics of Behavior, Department of Psychology and Psychotherapy, Faculty of Health, Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany
| | - Martina Piefke
- Centre for Biomedical Education & Research (ZBAF), Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany
- Neurobiology and Genetics of Behavior, Department of Psychology and Psychotherapy, Faculty of Health, Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448, Witten, Germany
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3
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Caspi A, Shireby G, Mill J, Moffitt TE, Sugden K, Hannon E. Accelerated Pace of Aging in Schizophrenia: Five Case-Control Studies. Biol Psychiatry 2024; 95:1038-1047. [PMID: 37924924 PMCID: PMC11063120 DOI: 10.1016/j.biopsych.2023.10.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/29/2023] [Accepted: 10/21/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND Schizophrenia is associated with increased risk of developing multiple aging-related diseases, including metabolic, respiratory, and cardiovascular diseases, and Alzheimer's and related dementias, leading to the hypothesis that schizophrenia is accompanied by accelerated biological aging. This has been difficult to test because there is no widely accepted measure of biological aging. Epigenetic clocks are promising algorithms that are used to calculate biological age on the basis of information from combined cytosine-phosphate-guanine sites (CpGs) across the genome, but they have yielded inconsistent and often negative results about the association between schizophrenia and accelerated aging. Here, we tested the schizophrenia-aging hypothesis using a DNA methylation measure that is uniquely designed to predict an individual's rate of aging. METHODS We brought together 5 case-control datasets to calculate DunedinPACE (Pace of Aging Calculated from the Epigenome), a new measure trained on longitudinal data to detect differences between people in their pace of aging over time. Data were available from 1812 psychosis cases (schizophrenia or first-episode psychosis) and 1753 controls. Mean chronological age was 38.9 (SD = 13.6) years. RESULTS We observed consistent associations across datasets between schizophrenia and accelerated aging as measured by DunedinPACE. These associations were not attributable to tobacco smoking or clozapine medication. CONCLUSIONS Schizophrenia is accompanied by accelerated biological aging by midlife. This may explain the wide-ranging risk among people with schizophrenia for developing multiple different age-related physical diseases, including metabolic, respiratory, and cardiovascular diseases, and dementia. Measures of biological aging could prove valuable for assessing patients' risk for physical and cognitive decline and for evaluating intervention effectiveness.
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Affiliation(s)
- Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina; Social, Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, United Kingdom; PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway.
| | - Gemma Shireby
- Centre of Longitudinal Studies, University College London, Exeter, United Kingdom
| | - Jonathan Mill
- University of Exeter Medical School, University of Exeter, Exeter, United Kingdom
| | - Terrie E Moffitt
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina; Social, Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, United Kingdom; PROMENTA, Department of Psychology, University of Oslo, Oslo, Norway
| | - Karen Sugden
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Eilis Hannon
- University of Exeter Medical School, University of Exeter, Exeter, United Kingdom
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4
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Ori APS, Olde Loohuis LM, Guintivano J, Hannon E, Dempster E, St Clair D, Bass NJ, McQuillin A, Mill J, Sullivan PF, Kahn RS, Horvath S, Ophoff RA. Meta-analysis of epigenetic aging in schizophrenia reveals multifaceted relationships with age, sex, illness duration, and polygenic risk. Clin Epigenetics 2024; 16:53. [PMID: 38589929 PMCID: PMC11003125 DOI: 10.1186/s13148-024-01660-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/16/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND The study of biological age acceleration may help identify at-risk individuals and reduce the rising global burden of age-related diseases. Using DNA methylation (DNAm) clocks, we investigated biological aging in schizophrenia (SCZ), a mental illness that is associated with an increased prevalence of age-related disabilities and morbidities. In a whole blood DNAm sample of 1090 SCZ cases and 1206 controls across four European cohorts, we performed a meta-analysis of differential aging using three DNAm clocks (i.e., Hannum, Horvath, and Levine). To dissect how DNAm aging contributes to SCZ, we integrated information on duration of illness and SCZ polygenic risk, as well as stratified our analyses by chronological age and biological sex. RESULTS We found that blood-based DNAm aging is significantly altered in SCZ independent from duration of the illness since onset. We observed sex-specific and nonlinear age effects that differed between clocks and point to possible distinct age windows of altered aging in SCZ. Most notably, intrinsic cellular age (Horvath clock) is decelerated in SCZ cases in young adulthood, while phenotypic age (Levine clock) is accelerated in later adulthood compared to controls. Accelerated phenotypic aging was most pronounced in women with SCZ carrying a high polygenic burden with an age acceleration of + 3.82 years (CI 2.02-5.61, P = 1.1E-03). Phenotypic aging and SCZ polygenic risk contributed additively to the illness and together explained up to 14.38% of the variance in disease status. CONCLUSIONS Our study contributes to the growing body of evidence of altered DNAm aging in SCZ and points to intrinsic age deceleration in younger adulthood and phenotypic age acceleration in later adulthood in SCZ. Since increased phenotypic age is associated with increased risk of all-cause mortality, our findings indicate that specific and identifiable patient groups are at increased mortality risk as measured by the Levine clock. Our study did not find that DNAm aging could be explained by the duration of illness of patients, but we did observe age- and sex-specific effects that warrant further investigation. Finally, our results show that combining genetic and epigenetic predictors can improve predictions of disease outcomes and may help with disease management in schizophrenia.
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Affiliation(s)
- Anil P S Ori
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Gonda Center, Room 4357B, 695 Charles E. Young Drive South, Los Angeles, CA, 90095-176, USA.
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Gonda Center, Room 4357B, 695 Charles E. Young Drive South, Los Angeles, CA, 90095-176, USA
| | - Jerry Guintivano
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Eilis Hannon
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Emma Dempster
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - David St Clair
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, Scotland, UK
| | - Nick J Bass
- Division of Psychiatry, University College London, London, UK
| | | | - Jonathan Mill
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Patrick F Sullivan
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Rene S Kahn
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, New York, NY, USA
| | - Steve Horvath
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Roel A Ophoff
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Gonda Center, Room 4357B, 695 Charles E. Young Drive South, Los Angeles, CA, 90095-176, USA.
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands.
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5
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Saarinen A, Marttila S, Mishra PP, Lyytikäinen L, Raitoharju E, Mononen N, Sormunen E, Kähönen M, Raitakari O, Hietala J, Keltikangas‐Järvinen L, Lehtimäki T. Polygenic risk for schizophrenia, social dispositions, and pace of epigenetic aging: Results from the Young Finns Study. Aging Cell 2024; 23:e14052. [PMID: 38031635 PMCID: PMC10928579 DOI: 10.1111/acel.14052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/26/2023] [Accepted: 11/15/2023] [Indexed: 12/01/2023] Open
Abstract
Schizophrenia is often regarded as a disorder of premature aging. We investigated (a) whether polygenic risk for schizophrenia (PRSsch ) relates to pace of epigenetic aging and (b) whether personal dispositions toward active and emotionally close relationships protect against accelerated epigenetic aging in individuals with high PRSsch . The sample came from the population-based Young Finns Study (n = 1348). Epigenetic aging was measured with DNA methylation aging algorithms such as AgeAccelHannum , EEAAHannum , IEAAHannum , IEAAHorvath , AgeAccelHorvath , AgeAccelPheno , AgeAccelGrim , and DunedinPACE. A PRSsch was calculated using summary statistics from the most comprehensive genome-wide association study of schizophrenia to date. Social dispositions were assessed in terms of extraversion, sociability, reward dependence, cooperativeness, and attachment security. We found that PRSsch did not have a statistically significant effect on any studied indicator of epigenetic aging. Instead, PRSsch had a significant interaction with reward dependence (p = 0.001-0.004), cooperation (p = 0.009-0.020), extraversion (p = 0.019-0.041), sociability (p = 0.003-0.016), and attachment security (p = 0.007-0.014) in predicting AgeAccelHannum , EEAAHannum , or IEAAHannum . Specifically, participants with high PRSsch appeared to display accelerated epigenetic aging at higher (vs. lower) levels of extraversion, sociability, attachment security, reward dependence, and cooperativeness. A rather opposite pattern was evident for those with low PRSsch . No such interactions were evident when predicting the other indicators of epigenetic aging. In conclusion, against our hypothesis, frequent social interactions may relate to accelerated epigenetic aging in individuals at risk for psychosis. We speculate that this may be explained by social-cognitive impairments (perceiving social situations as overwhelming or excessively arousing) or ending up in less supportive or deviant social groups.
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Affiliation(s)
- Aino Saarinen
- Department of Psychology and Logopedics, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
- Helsinki University Central HospitalAdolescent Psychiatry Outpatient ClinicHelsinkiFinland
| | - Saara Marttila
- Department of Molecular Epidemiology, Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
- Gerontology Research CenterTampere UniversityTampereFinland
| | - Pashupati P. Mishra
- Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
- Department of Clinical ChemistryFimlab LaboratoriesTampereFinland
- Finnish Cardiovascular Research CenterTampereFinland
| | - Leo‐Pekka Lyytikäinen
- Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
- Department of Clinical ChemistryFimlab LaboratoriesTampereFinland
- Finnish Cardiovascular Research CenterTampereFinland
- Department of Cardiology, Heart CenterTampere University HospitalTampereFinland
| | - Emma Raitoharju
- Department of Molecular Epidemiology, Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
- Cardiovascular Research Center Tampere, Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
| | - Nina Mononen
- Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
- Department of Clinical ChemistryFimlab LaboratoriesTampereFinland
- Finnish Cardiovascular Research CenterTampereFinland
- Cardiovascular Research Center Tampere, Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
| | - Elina Sormunen
- Department of PsychiatryUniversity of TurkuTurkuFinland
- Turku University HospitalTurkuFinland
| | - Mika Kähönen
- Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
- Department of Clinical PhysiologyTampere University HospitalTampereFinland
| | - Olli Raitakari
- Turku University HospitalTurkuFinland
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of TurkuTurkuFinland
- Department of Clinical Physiology and Nuclear MedicineTurku University HospitalTurkuFinland
| | - Jarmo Hietala
- Department of PsychiatryUniversity of TurkuTurkuFinland
- Turku University HospitalTurkuFinland
- Department of MedicineUniversity of TurkuTurkuFinland
- Division of MedicineTurku University HospitalTurkuFinland
| | | | - Terho Lehtimäki
- Faculty of Medicine and Health TechnologyTampere UniversityTampereFinland
- Department of Clinical ChemistryFimlab LaboratoriesTampereFinland
- Finnish Cardiovascular Research CenterTampereFinland
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6
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Harvanek ZM, Boks MP, Vinkers CH, Higgins-Chen AT. The Cutting Edge of Epigenetic Clocks: In Search of Mechanisms Linking Aging and Mental Health. Biol Psychiatry 2023; 94:694-705. [PMID: 36764569 PMCID: PMC10409884 DOI: 10.1016/j.biopsych.2023.02.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 02/11/2023]
Abstract
Individuals with psychiatric disorders are at increased risk of age-related diseases and early mortality. Recent studies demonstrate that this link between mental health and aging is reflected in epigenetic clocks, aging biomarkers based on DNA methylation. The reported relationships between epigenetic clocks and mental health are mostly correlational, and the mechanisms are poorly understood. Here, we review recent progress concerning the molecular and cellular processes underlying epigenetic clocks as well as novel technologies enabling further studies of the causes and consequences of epigenetic aging. We then review the current literature on how epigenetic clocks relate to specific aspects of mental health, such as stress, medications, substance use, health behaviors, and symptom clusters. We propose an integrated framework where mental health and epigenetic aging are each broken down into multiple distinct processes, which are then linked to each other, using stress and schizophrenia as examples. This framework incorporates the heterogeneity and complexity of both mental health conditions and aging, may help reconcile conflicting results, and provides a basis for further hypothesis-driven research in humans and model systems to investigate potentially causal mechanisms linking aging and mental health.
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Affiliation(s)
- Zachary M Harvanek
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Marco P Boks
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University of Utrecht, Utrecht, the Netherlands
| | - Christiaan H Vinkers
- Department of Psychiatry, Amsterdam University Medical Center, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Albert T Higgins-Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Department of Pathology, Yale University School of Medicine, New Haven, Connecticut.
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7
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Ping J, Wan J, Huang C, Yu J, Luo J, Xing Z, Luo X, Du B, Jiang T, Zhang J. DNMT1 SNPs (rs2114724 and rs2228611) associated with positive symptoms in Chinese patients with schizophrenia. Ann Gen Psychiatry 2023; 22:40. [PMID: 37833704 PMCID: PMC10576382 DOI: 10.1186/s12991-023-00466-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 09/18/2023] [Indexed: 10/15/2023] Open
Abstract
OBJECTIVE Schizophrenia is a serious mental disorder with complex clinical manifestations, while its pathophysiological mechanism is not fully understood. Accumulated evidence suggested the alteration in epigenetic pathway was associated with clinical features and brain dysfunctions in schizophrenia. DNA methyltransferases (DNMTs), a key enzyme for DNA methylation, are related to the development of schizophrenia, whereas the current research evidence is not sufficient. The aim of study was to explore the effects of gene polymorphisms of DNMTs on the susceptibility and symptoms of schizophrenia. METHODS The study was case-control study that designed and employed the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (DSM-5) as the diagnostic standard. 134 hospitalized patients with schizophrenia in the Third People's Hospital of Zhongshan City from January 2018 to April 2020 (Case group) as well as 64 healthy controls (Control group) from the same region were involved. Single nucleotide polymorphisms (SNPs) of DNMT1 genes (r s2114724 and rs 2228611) and DNMT3B genes (rs 2424932, rs 1569686, rs 6119954 and rs 2424908) were determined with massARRAY. Linkage disequilibrium analysis and haplotype analysis were performed, and genotype and allele frequencies were compared. The Hardy-Weinberg equilibrium was tested by the Chi-square test in SPSS software (version 20.0, SPSS Inc., USA). The severity of clinical symptoms was assessed by the Positive and Negative Syndrome Scale (PANSS). The correlation between DNMT1 genes (rs 2114724 and rs 2228611) and DNMT3B genes (rs2424932, rs1569686, rs6119954 and rs2424908) and clinical features was analyzed. RESULTS There were no significant differences in genotype, allele frequency and haplotype of DNMT1 genes (rs 2114724 and rs 2228611) and DNMT3B genes (rs 2424932, rs 1569686, rs 6119954 and rs 2424908) between the case and healthy control group. There were significant differences in the PANSS total positive symptom scores, P3 (hallucinatory behavior), P6 (suspicious/persecution), G7 (motor retardation), and G15 (preoccupation) in patients with different DNMT1 gene rs 2114724 and rs 2228611 genotypes. The linkage disequilibrium analysis of gene polymorphic loci revealed that rs 2114724-rs 2228611 was complete linkage disequilibrium, and rs 1569686-rs 2424908, rs 2424932-rs 1569696 and rs 2424932-rs 2424908 were strongly linkage disequilibrium. CONCLUSION The polymorphisms alteration in genetic pathway may be associated with development of specific clinical features in schizophrenia.
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Affiliation(s)
- Junjiao Ping
- Department of Psychiatry, The Third People's Hospital, Zhongshan, 528451, Guangdong, People's Republic of China
- Joint Laboratory of Psychiatric Genetic Research, The Third People's Hospital, Zhongshan, 528451, Guangdong, People's Republic of China
| | - Jing Wan
- Department of Early Intervention, The Third People's Hospital, Zhongshan, 528451, Guangdong, People's Republic of China
| | - Caiying Huang
- Department of Early Intervention, The Third People's Hospital, Zhongshan, 528451, Guangdong, People's Republic of China
| | - Jinming Yu
- Department of Psychiatry, The Third People's Hospital, Zhongshan, 528451, Guangdong, People's Republic of China
| | - Jiali Luo
- Joint Laboratory of Psychiatric Genetic Research, The Third People's Hospital, Zhongshan, 528451, Guangdong, People's Republic of China
| | - Zhiqiang Xing
- Department of Psychiatry, The Third People's Hospital, Zhongshan, 528451, Guangdong, People's Republic of China
| | - Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Baoguo Du
- Department of Clinical Psychology, The Third People's Hospital, Zhongshan, 528451, Guangdong, People's Republic of China
| | - Tingyun Jiang
- Department of Psychiatry, The Third People's Hospital, Zhongshan, 528451, Guangdong, People's Republic of China.
| | - Jie Zhang
- Joint Laboratory of Psychiatric Genetic Research, The Third People's Hospital, Zhongshan, 528451, Guangdong, People's Republic of China.
- Department of Psychiatry, Gannan Medical University, Ganzhou, 341000, Jiangxi , People's Republic of China.
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8
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Segura AG, de la Serna E, Sugranyes G, Baeza I, Valli I, Díaz-Caneja C, Martín N, Moreno DM, Gassó P, Rodriguez N, Mas S, Castro-Fornieles J. Epigenetic age deacceleration in youth at familial risk for schizophrenia and bipolar disorder. Transl Psychiatry 2023; 13:155. [PMID: 37156786 PMCID: PMC10167217 DOI: 10.1038/s41398-023-02463-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 04/21/2023] [Accepted: 04/27/2023] [Indexed: 05/10/2023] Open
Abstract
Epigenetic modifications occur sequentially during the lifespan, but their pace can be altered by external stimuli. The onset of schizophrenia and bipolar disorder is critically modulated by stressors that may alter the epigenetic pattern, a putative signature marker of exposure to environmental risk factors. In this study, we estimated the age-related epigenetic modifications to assess the differences between young individuals at familial high risk (FHR) and controls and their association with environmental stressors. The sample included 117 individuals (6-17 years) at FHR (45%) and a control group (55%). Blood and saliva samples were used estimate the epigenetic age with six epigenetic clocks through methylation data. Environmental risk was measured with obstetric complications, socioeconomic statuses and recent stressful life events data. Epigenetic age was correlated with chronological age. FHR individuals showed epigenetic age deacceleration of Horvath and Hannum epigenetic clocks compared to controls. No effect of the environmental risk factors on the epigenetic age acceleration could be detected. Epigenetic age acceleration adjusted by cell counts showed that the FHR group was deaccelerated also with the PedBE epigenetic clock. Epigenetic age asynchronicities were found in the young at high risk, suggesting that offspring of affected parents follow a slower pace of biological aging than the control group. It still remains unclear which environmental stressors orchestrate the changes in the methylation pattern. Further studies are needed to better characterize the molecular impact of environmental stressors before illness onset, which could be critical in the development of tools for personalized psychiatry.
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Affiliation(s)
- Alex G Segura
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Elena de la Serna
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Gisela Sugranyes
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Inmaculada Baeza
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Isabel Valli
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Covadonga Díaz-Caneja
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Nuria Martín
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Dolores M Moreno
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Adolescent Inpatient Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Psychiatry Department, Universidad Complutense de Madrid, Madrid, Spain
| | - Patricia Gassó
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Natalia Rodriguez
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Sergi Mas
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
| | - Josefina Castro-Fornieles
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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9
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Li Z, Zong X, Li D, He Y, Tang J, Hu M, Chen X. Epigenetic clock analysis of blood samples in drug-naive first-episode schizophrenia patients. BMC Psychiatry 2023; 23:45. [PMID: 36650462 PMCID: PMC9843886 DOI: 10.1186/s12888-023-04533-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 01/06/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Schizophrenia (SCZ) is a severe and chronic psychiatric disorder with premature age-related physiological changes. However, numerous previous studies examined the epigenetic age acceleration in SCZ patients and yielded inconclusive results. In this study, we propose to explore the epigenetic age acceleration in drug-naive first-episode SCZ (FSCZ) patients and investigate whether epigenetic age acceleration is associated with antipsychotic treatment, psychotic symptoms, cognition, and subcortical volumes. METHODS We assessed the epigenetic age in 38 drug-naive FSCZ patients and 38 healthy controls by using three independent clocks, including Horvath, Hannum and Levine algorithms. The epigenetic age measurements in SCZ patients were repeated after receiving 8 weeks risperidone monotherapy. RESULTS Our findings showed significantly positive correlations between epigenetic ages assessed by three clocks and chronological age in both FSCZ patients and healthy controls. Compared with healthy controls, drug-naive FSCZ patients have a significant epigenetic age deceleration in Horvath clock (p = 0.01), but not in Hannum clock (p = 0.07) and Levine clock (p = 0.43). The epigenetic ages of Hannum clock (p = 0.002) and Levine clock (p = 0.01) were significantly accelerated in SCZ patients after 8-week risperidone treatment. However, no significant associations between epigenetic age acceleration and psychotic symptoms, cognitive function, as well as subcortical volumes were observed in FSCZ patients. CONCLUSION These results demonstrate that distinct epigenetic clocks are sensitive to different aspects of aging process. Further investigations with comprehensive epigenetic clock analyses and large samples are required to confirm our findings.
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Affiliation(s)
- Zongchang Li
- grid.216417.70000 0001 0379 7164Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, No 139 Renmin Road, Changsha, Hunan 410011 P. R. China ,grid.216417.70000 0001 0379 7164China National Technology Institute on Mental Disorders & Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, P. R. China
| | - Xiaofen Zong
- grid.412632.00000 0004 1758 2270Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, P. R. China
| | - David Li
- grid.216417.70000 0001 0379 7164Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, No 139 Renmin Road, Changsha, Hunan 410011 P. R. China
| | - Ying He
- grid.216417.70000 0001 0379 7164Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, No 139 Renmin Road, Changsha, Hunan 410011 P. R. China ,grid.216417.70000 0001 0379 7164China National Technology Institute on Mental Disorders & Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, P. R. China
| | - Jinsong Tang
- grid.13402.340000 0004 1759 700XDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, P. R. China
| | - Maolin Hu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, P. R. China.
| | - Xiaogang Chen
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, No 139 Renmin Road, Changsha, Hunan, 410011, P. R. China. .,China National Technology Institute on Mental Disorders & Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, P. R. China.
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10
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Seeman MV. Subjective Overview of Accelerated Aging in Schizophrenia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:737. [PMID: 36613059 PMCID: PMC9819113 DOI: 10.3390/ijerph20010737] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 06/17/2023]
Abstract
Schizophrenia, like many other human diseases, particularly neuropsychiatric diseases, shows evidence of accelerated brain aging. The molecular nature of the process of aging is unknown but several potential indicators have been used in research. The concept of accelerated aging in schizophrenia took hold in 2008 and its timing, pace, determinants and deterrents have been increasingly examined since. The present overview of the field is brief and selective, based on diverse studies, expert opinions and successive reviews. Current thinking is that the timing of age acceleration in schizophrenia can occur at different time periods of the lifespan in different individuals, and that antipsychotics may be preventive. The majority opinion is that the cognitive decline and premature death often seen in schizophrenia are, in principle, preventable.
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Affiliation(s)
- Mary V Seeman
- Department of Psychiatry, University of Toronto, 260 Heath St. West, Suite #605, Toronto, ON M5P 3L6, Canada
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11
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Segura ÀG, Prohens L, Mezquida G, Amoretti S, Bioque M, Ribeiro M, Gurriarán-Bas X, Rementería L, Berge D, Rodriguez-Jimenez R, Roldán A, Pomarol-Clotet E, Ibáñez A, Usall J, García-Portilla MP, Cuesta MJ, Parellada M, González-Pinto A, Berrocoso E, Bernardo M, Mas S, González-Díaz JM, Arbelo N, González-Peñas J, Pina-Camacho L, Diestre A, Selma J, Zorrilla I, López P, Trabsa A, Monserrat C, Sanchez-Pastor L, Nuñez-Doyle A, Fatjó-Vilas M, Sarró S, Butjosa A, Pardo M, López-Ilundain JM, Sánchez Torres AM, Saiz-Ruiz J, Ochoa-Mangado E, RIevero O, De-la-Cámara C, Echevarría RS, González-Blanco L. Epigenetic clocks in relapse after a first episode of schizophrenia. SCHIZOPHRENIA 2022; 8:61. [PMID: 35869075 PMCID: PMC9307769 DOI: 10.1038/s41537-022-00268-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/04/2022] [Indexed: 11/17/2022]
Abstract
The main objective of the present study was to investigate the association between several epigenetic clocks, covering different aspects of aging, with schizophrenia relapse evaluated over a 3-year follow-up period in a cohort of ninety-one first-episode schizophrenia patients. Genome-wide DNA methylation was profiled and four epigenetic clocks, including epigenetic clocks of chronological age, mortality and telomere length were calculated. Patients that relapsed during the follow-up showed epigenetic acceleration of the telomere length clock (p = 0.030). Shorter telomere length was associated with cognitive performance (working memory, r = 0.31 p = 0.015; verbal fluency, r = 0.28 p = 0.028), but no direct effect of cognitive function or symptom severity on relapse was detected. The results of the present study suggest that epigenetic age acceleration could be involved in the clinical course of schizophrenia and could be a useful marker of relapse when measured in remission stages.
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12
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Guo L, Ni Z, Wei G, Cheng W, Huang X, Yue W. Epigenome-wide DNA methylation analysis of whole blood cells derived from patients with GAD and OCD in the Chinese Han population. Transl Psychiatry 2022; 12:465. [PMID: 36344488 PMCID: PMC9640561 DOI: 10.1038/s41398-022-02236-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 10/14/2022] [Accepted: 10/26/2022] [Indexed: 11/09/2022] Open
Abstract
Generalized anxiety disorder (GAD) and obsessive-compulsive disorder (OCD) had high comorbidity and affected more than 44 million people around the world leading to a huge burden on health and economy. Here, we conducted an epigenome-wide DNA methylation study employing 93 patients with GAD, 65 patients with OCD, and 302 health controls, to explore epigenetic alterations associated with the onset and differences of GAD and OCD. We identified multiple differentially methylated positions (DMPs) and regions (DMRs): three DMP genes included RIOK3 (cg21515243, p = 8.00 × 10-10), DNASE2 (cg09379601, p = 1.10 × 10-9), and PSMB4 (cg01334186, p = 3.70 × 10-7) and two DMR genes USP6NL (p = 4.50 × 10-4) and CPLX1 (p = 6.95 × 10-4) were associated with the onset of GAD and OCD; three DMPs genes included LDLRAP1 (cg21400344, p = 4.40 × 10-12), ACIN1 (cg23712970, p = 2.98×10-11), and SCRT1 (cg25472897, p = 5.60 × 10-11) and three DMR genes WDR19 (p = 3.39 × 10-3), SYCP1 (p = 6.41 × 10-3), and FAM172A (p = 5.74 × 10-3) were associated with the differences between GAD and OCD. Investigation of epigenetic age and chronological age revealed a different epigenetic development trajectory of GAD and OCD. Conclusively, our findings which yielded robust models may aid in distinguishing patients from healthy controls (AUC = 0.90-0.99) or classifying patients with GAD and OCD (AUC = 0.89-0.99), and may power the precision medicine for them.
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Affiliation(s)
- Liangkun Guo
- grid.459847.30000 0004 1798 0615Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191 China ,grid.459847.30000 0004 1798 0615National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191 China ,grid.506261.60000 0001 0706 7839NHC Key Laboratory of Mental Health, & Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences, Beijing, 100191 China
| | - Zhaojun Ni
- grid.459847.30000 0004 1798 0615Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191 China ,grid.459847.30000 0004 1798 0615National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191 China ,grid.506261.60000 0001 0706 7839NHC Key Laboratory of Mental Health, & Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences, Beijing, 100191 China
| | - Guiming Wei
- Department of Neurology, Shandong Daizhuang Hospital, 272051 Jining, Shandong China
| | - Weiqiu Cheng
- grid.5510.10000 0004 1936 8921NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Xuebing Huang
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China. .,National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China. .,NHC Key Laboratory of Mental Health, & Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences, Beijing, 100191, China.
| | - Weihua Yue
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China. .,National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China. .,NHC Key Laboratory of Mental Health, & Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder, Chinese Academy of Medical Sciences, Beijing, 100191, China. .,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China. .,Chinese Institute for Brain Research, Beijing, 102206, China.
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13
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Antipsychotics function as epigenetic age regulators in human neuroblastoma cells. SCHIZOPHRENIA 2022; 8:69. [PMID: 36038613 PMCID: PMC9424249 DOI: 10.1038/s41537-022-00277-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 08/12/2022] [Indexed: 11/12/2022]
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14
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Iftimovici A, Kebir O, Jiao C, He Q, Krebs MO, Chaumette B. Dysmaturational Longitudinal Epigenetic Aging During Transition to Psychosis. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgac030. [PMID: 39144766 PMCID: PMC11206049 DOI: 10.1093/schizbullopen/sgac030] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
Psychosis frequently occurs during adolescence and young adulthood, possibly as a result of gene-environment interactions, mediated by epigenetic mechanisms such as DNA methylation. Methylation patterns can be leveraged to predict epigenetic age in order to identify anomalies in aging trajectories that may be associated with the emergence of psychosis. Thus, epigenetic age may provide a measurable surrogate of psychotic risk or psychosis' emergence, and shed light on the neurodevelopmental model of psychosis. In this study, we present the first longitudinal analysis of epigenetic age trajectory during conversion to psychosis in a population at ultra-high-risk, with available genome-wide methylation DNA at two time points, at baseline and after one year of follow-up (N = 38 × 2). After predicting epigenetic age, we computed epigenetic age gap as the cross-sectional difference between real age and predicted age, and (longitudinal) epigenetic age acceleration as the derivative of predicted age with respect to time. At baseline, future converters were 2.7 years younger than nonconverters and this difference disappeared at follow-up, when some converted to psychosis. This is because during conversion to psychosis, the epigenetic age of converters accelerated by 2.8 years/year compared to nonconverters. This acceleration was robust with a strictly positive 95% confidence interval, and held its significance after adjustment for age, sex, and cannabis intake. The methylation sites most associated with aging were on genes also linked with schizophrenia and neurodevelopmental disorders. This accelerated age trajectory, following a previous deceleration, may therefore reflect dysmaturational processes.
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Affiliation(s)
- Anton Iftimovici
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, GDR 3557-Institut de Psychiatrie, Pathophysiology of psychiatric disorders, Paris, France
- NeuroSpin, Atomic Energy Commission, Gif-sur Yvette, France
| | - Oussama Kebir
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, GDR 3557-Institut de Psychiatrie, Pathophysiology of psychiatric disorders, Paris, France
- GHU Paris Psychiatrie et Neurosciences, Pôle PEPIT, Paris, France
| | - Chuan Jiao
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, GDR 3557-Institut de Psychiatrie, Pathophysiology of psychiatric disorders, Paris, France
| | - Qin He
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, GDR 3557-Institut de Psychiatrie, Pathophysiology of psychiatric disorders, Paris, France
| | - Marie-Odile Krebs
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, GDR 3557-Institut de Psychiatrie, Pathophysiology of psychiatric disorders, Paris, France
- GHU Paris Psychiatrie et Neurosciences, Pôle PEPIT, Paris, France
| | - Boris Chaumette
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, GDR 3557-Institut de Psychiatrie, Pathophysiology of psychiatric disorders, Paris, France
- GHU Paris Psychiatrie et Neurosciences, Pôle PEPIT, Paris, France
- Department of Psychiatry, McGill University, Montréal, Québec, Canada
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