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Cánepa ET, Berardino BG. Epigenetic mechanisms linking early-life adversities and mental health. Biochem J 2024; 481:615-642. [PMID: 38722301 DOI: 10.1042/bcj20230306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/22/2024] [Accepted: 04/24/2024] [Indexed: 05/15/2024]
Abstract
Early-life adversities, whether prenatal or postnatal exposure, have been linked to adverse mental health outcomes later in life increasing the risk of several psychiatric disorders. Research on its neurobiological consequences demonstrated an association between exposure to adversities and persistent alterations in the structure, function, and connectivity of the brain. Consistent evidence supports the idea that regulation of gene expression through epigenetic mechanisms are involved in embedding the impact of early-life experiences in the genome and mediate between social environments and later behavioral phenotypes. In addition, studies from rodent models and humans suggest that these experiences and the acquired risk factors can be transmitted through epigenetic mechanisms to offspring and the following generations potentially contributing to a cycle of disease or disease risk. However, one of the important aspects of epigenetic mechanisms, unlike genetic sequences that are fixed and unchangeable, is that although the epigenetic markings are long-lasting, they are nevertheless potentially reversible. In this review, we summarize our current understanding of the epigenetic mechanisms involved in the mental health consequences derived from early-life exposure to malnutrition, maltreatment and poverty, adversities with huge and pervasive impact on mental health. We also discuss the evidence about transgenerational epigenetic inheritance in mammals and experimental data suggesting that suitable social and pharmacological interventions could reverse adverse epigenetic modifications induced by early-life negative social experiences. In this regard, these studies must be accompanied by efforts to determine the causes that promote these adversities and that result in health inequity in the population.
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Affiliation(s)
- Eduardo T Cánepa
- Laboratorio de Neuroepigenética y Adversidades Tempranas, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Bruno G Berardino
- Laboratorio de Neuroepigenética y Adversidades Tempranas, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and IQUIBICEN, CONICET, Buenos Aires, Argentina
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2
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Halabicky OM, Téllez-Rojo MM, Goodrich JM, Dolinoy DC, Mercado-García A, Hu H, Peterson KE. Prenatal and childhood lead exposure is prospectively associated with biological markers of aging in adolescence. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 913:169757. [PMID: 38176546 PMCID: PMC10823594 DOI: 10.1016/j.scitotenv.2023.169757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 01/06/2024]
Abstract
Few studies have related early life lead exposure to adolescent biological aging, a period characterized by marked increases in maturational tempo. We examined associations between prenatal and childhood lead exposure and adolescent biological age (mean 14.5 years) utilizing multiple epigenetic clocks including: intrinsic (IEAA), extrinsic (EEAA), Horvath, Hannum, PhenoAge, GrimAge, Skin-Blood, Wu, PedBE, as well as DNA methylation derived telomere length (DNAmTL). Epigenetic clocks and DNAmTL were calculated via adolescent blood DNA methylation measured by Infinium MethylationEPIC BeadChips. We constructed general linear models (GLMs) with individual lead measures predicting biological age. We additionally examined sex-stratified models and lead by sex interactions, adjusting for adolescent age and lead levels, maternal smoking and education, and proportion of cell types. We also estimated effects of lead exposure on biological age using generalized estimating equations (GEE). First trimester blood lead was positively associated with a 0.14 increase in EEAA age in the GLMs though not the GEE models (95%CI 0.03, 0.25). First and 2nd trimester blood lead levels were associated with a 0.02 year increase in PedBE age in GLM and GEE models (1st trimester, 95%CI 0.004, 0.03; 2nd trimester, 95%CI 0.01, 0.03). Third trimester and 24 month blood lead levels were associated with a -0.06 and -0.05 decrease in Skin-Blood age, respectively, in GLM models. Additionally, 3rd trimester blood lead levels were associated with a 0.08 year decrease in Hannum age in GLM and GEE models (95%CI -0.15, -0.01). There were multiple significant results in sex-stratified models and significant lead by sex interactions, where males experienced accelerated biological age, compared to females who saw a decelerated biological age, with respect to IEAA, EEAA, Horvath, Hannum, and PedBE clocks. Further research is needed to understand sex-specific relationships between lead exposure and measures of biological aging in adolescence and the trajectory of biological aging into young adulthood.
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Affiliation(s)
- O M Halabicky
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
| | - M M Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - J M Goodrich
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - D C Dolinoy
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - A Mercado-García
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - H Hu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - K E Peterson
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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3
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Wu Y, Chen Y, Yang Y, Lin C, Su S, Zhao J, Wu S, Wu G, Liu H, Liu X, Yang Z, Zhang J, Huang B. Predicting brain age using partition modeling strategy and atlas-based attentional enhancement in the Chinese population. Cereb Cortex 2024; 34:bhae030. [PMID: 38342684 DOI: 10.1093/cercor/bhae030] [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: 11/13/2023] [Revised: 01/13/2024] [Accepted: 01/15/2024] [Indexed: 02/13/2024] Open
Abstract
As a biomarker of human brain health during development, brain age is estimated based on subtle differences in brain structure from those under typical developmental. Magnetic resonance imaging (MRI) is a routine diagnostic method in neuroimaging. Brain age prediction based on MRI has been widely studied. However, few studies based on Chinese population have been reported. This study aimed to construct a brain age predictive model for the Chinese population across its lifespan. We developed a partition prediction method based on transfer learning and atlas attention enhancement. The participants were separated into four age groups, and a deep learning model was trained for each group to identify the brain regions most critical for brain age prediction. The Atlas attention-enhancement method was also used to help the models focus only on critical brain regions. The proposed method was validated using 354 participants from domestic datasets. For prediction performance in the testing sets, the mean absolute error was 2.218 ± 1.801 years, and the Pearson correlation coefficient (r) was 0.969, exceeding previous results for wide-range brain age prediction. In conclusion, the proposed method could provide brain age estimation to assist in assessing the status of brain health.
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Affiliation(s)
- Yingtong Wu
- Medical AI Lab, School of Biomedical Engineering, Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen 518060, Guangdong Province, China
- Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen 518060, Guangdong Province, China
- Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Key Laboratory for MRI, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong Province, China
| | - Yingqian Chen
- Department of Radiology, the First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Second Road, Guangzhou 510080, Guangdong Province, China
| | - Yang Yang
- Department of Radiology, Suining Central Hospital, 127 Desheng West Road, Suining 629099, Sichuan Province, China
- Medical Imaging Center of Guizhou Province, Department of Radiology, The Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi 563000, Guizhou Province, China
| | - Chuxuan Lin
- Medical AI Lab, School of Biomedical Engineering, Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen 518060, Guangdong Province, China
- Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen 518060, Guangdong Province, China
| | - Shu Su
- Department of Radiology, the First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Second Road, Guangzhou 510080, Guangdong Province, China
| | - Jing Zhao
- Department of Radiology, the First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Second Road, Guangzhou 510080, Guangdong Province, China
| | - Songxiong Wu
- Radiology Department, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen 518060, Guangdong Province, China
| | - Guangyao Wu
- Radiology Department, Shenzhen University General Hospital and Shenzhen University Clinical Medical Academy, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen 518060, Guangdong Province, China
| | - Heng Liu
- Medical Imaging Center of Guizhou Province, Department of Radiology, The Affiliated Hospital of Zunyi Medical University, 149 Dalian Road, Zunyi 563000, Guizhou Province, China
| | - Xia Liu
- Department of Radiology, Shenzhen Mental Health Center, Shenzhen Kangning Hospital, 1080 Cuizhu Road, Shenzhen 518118, Guangdong Province, China
| | - Zhiyun Yang
- Department of Radiology, the First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Second Road, Guangzhou 510080, Guangdong Province, China
| | - Jian Zhang
- Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong Province, China
- School of Pharmaceutical Sciences, Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen 518060, Guangdong Province, China
| | - Bingsheng Huang
- Medical AI Lab, School of Biomedical Engineering, Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen 518060, Guangdong Province, China
- Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, 1066 Xueyuan Avenue, Shenzhen 518060, Guangdong Province, China
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Musci RJ, Raghunathan RS, Johnson SB, Klein L, Ladd-Acosta C, Ansah R, Hassoun R, Voegtline KM. Using Epigenetic Clocks to Characterize Biological Aging in Studies of Children and Childhood Exposures: a Systematic Review. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2023; 24:1398-1423. [PMID: 37477807 PMCID: PMC10964791 DOI: 10.1007/s11121-023-01576-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/10/2023] [Indexed: 07/22/2023]
Abstract
Biological age, measured via epigenetic clocks, offers a unique and useful tool for prevention scientists to explore the short- and long-term implications of age deviations for health, development, and behavior. The use of epigenetic clocks in pediatric research is rapidly increasing, and there is a need to review the landscape of this work to understand the utility of these clocks for prevention scientists. We summarize the current state of the literature on the use of specific epigenetic clocks in childhood. Using systematic review methods, we identified studies published through February 2023 that used one of three epigenetic clocks as a measure of biological aging. These epigenetic clocks could either be used as a predictor of health outcomes or as a health outcome of interest. The database search identified 982 records, 908 of which were included in a title and abstract review. After full-text screening, 68 studies were eligible for inclusion. While findings were somewhat mixed, a majority of included studies found significant associations between the epigenetic clock used and the health outcome of interest or between an exposure and the epigenetic clock used. From these results, we propose the use of epigenetic clocks as a tool to understand how exposures impact biologic aging pathways and development in early life, as well as to monitor the effectiveness of preventive interventions that aim to reduce exposure and associated adverse health outcomes.
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Affiliation(s)
- Rashelle J Musci
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA.
| | | | - Sara B Johnson
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Lauren Klein
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Rosemary Ansah
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
| | - Ronda Hassoun
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA
| | - Kristin M Voegtline
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
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Quinn EB, Hsiao CJ, Maisha FM, Mulligan CJ. Low birthweight is associated with epigenetic age acceleration in the first 3 years of life. Evol Med Public Health 2023; 11:251-261. [PMID: 37485054 PMCID: PMC10360162 DOI: 10.1093/emph/eoad019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/08/2023] [Indexed: 07/25/2023] Open
Abstract
Background and objectives The Developmental Origins of Health and Disease hypothesis posits that early life adversity is associated with poor adult health outcomes. Epidemiological evidence has supported this framework by linking low birthweight with adult health and mortality, but the mechanisms remain unclear. Accelerated epigenetic aging may be a pathway to connect early life experiences with adult health outcomes, based on associations of accelerated epigenetic aging with increased morbidity and mortality. Methodology Sixty-seven mother-infant dyads were recruited in the eastern Democratic Republic of Congo. Birthweight data were collected at birth, and blood samples were collected at birth and follow-up visits up to age 3. DNA methylation data were generated with the Illumina MethylationEPIC array and used to estimate epigenetic age. A multilevel model was used to test for associations between birthweight and epigenetic age acceleration. Results Chronological age was highly correlated with epigenetic age from birth to age 3 (r = 0.95, p < 2.2 × 10-16). Variation in epigenetic age acceleration increased over time. Birthweight, dichotomized around 2500 g, predicted epigenetic age acceleration over the first 3 years of life (b = -0.39, p = 0.005). Conclusions and implications Our longitudinal analysis provides the first evidence for accelerated epigenetic aging that emerges between birth and age 3 and associates with low birthweight. These results suggest that early life experiences, such as low birthweight, may shape the trajectory of epigenetic aging in early childhood. Furthermore, accelerated epigenetic aging may be a pathway that links low birthweight and poor adult health outcomes.
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Affiliation(s)
- Edward B Quinn
- Department of Anthropology, University of Florida, Gainesville, FL 32608, USA
- Genetics Institute, University of Florida, Gainesville, FL 32608, USA
| | - Chu J Hsiao
- Department of Anthropology, University of Florida, Gainesville, FL 32608, USA
- Genetics Institute, University of Florida, Gainesville, FL 32608, USA
- College of Medicine, University of Florida, Gainesville, FL 32608, USA
| | - Felicien M Maisha
- Department of Anthropology, University of Florida, Gainesville, FL 32608, USA
- Genetics Institute, University of Florida, Gainesville, FL 32608, USA
- HEAL Africa Hospital, Goma, Democratic Republic of Congo
- Maisha Institute, Goma, Democratic Republic of Congo
| | - Connie J Mulligan
- Department of Anthropology, University of Florida, Gainesville, FL 32608, USA
- Genetics Institute, University of Florida, Gainesville, FL 32608, USA
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Heany SJ, Levine AJ, Lesosky M, Phillips N, Fouche JP, Myer L, Zar HJ, Stein DJ, Horvath S, Hoare J. Persistent accelerated epigenetic ageing in a longitudinal cohort of vertically infected HIV-positive adolescents. J Neurovirol 2023; 29:272-282. [PMID: 37179258 PMCID: PMC10404174 DOI: 10.1007/s13365-023-01130-6] [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: 07/15/2022] [Revised: 10/24/2022] [Accepted: 03/28/2023] [Indexed: 05/15/2023]
Abstract
We have previously shown accelerated ageing in adolescents perinatally infected with HIV (PHIV +), based on discrepancies between epigenetic and chronological age. The current study examines follow-up longitudinal patterns of epigenetic ageing and the association of epigenetic ageing with cognition as well as whole brain structure changes in PHIV + and healthy controls enrolled in the Cape Town Adolescent Antiretroviral Cohort Study (CTAAC). The Illumina EPIC array was used to generate blood DNA methylation data from 60 PHIV + adolescents and 36 age-matched controls aged 9-12 years old at baseline and again at a 36-month follow-up. Epigenetic clock software estimated two measures of epigenetic age acceleration: extrinsic epigenetic accelerated ageing (EEAA) and age acceleration difference (AAD) at both time points. At follow-up, each participant completed neuropsychological testing, structural magnetic resonance imaging, and diffusion tensor imaging. At follow-up, PHIV infection remains associated with increased EEAA and AAD. Accelerated epigenetic ageing remained positively associated with viral load and negatively associated with CD4 ratio. EEAA was positively associated with whole brain grey matter volume and alterations in whole brain white matter integrity. AAD and EEAA were not associated with cognitive function within the PHIV + group. Measures of epigenetic ageing, as detected in DNA methylation patterns, remain increased in PHIV + adolescents across a 36-month period. Associations between epigenetic ageing measures, viral biomarkers, and alterations in brain micro- and macrostructure also persist at 36-month follow-up. Further study should determine if epigenetic age acceleration is associated with cognitive functional changes due to brain alterations in later life.
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Affiliation(s)
- Sarah J Heany
- SA MRC Unit On Risk & Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa.
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
| | - Andrew J Levine
- Department of Neurology, David Geffen School of Medicineat the , University of California, Los Angeles, Los Angeles, CA, USA
| | - Maia Lesosky
- Division of Epidemiology and Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Nicole Phillips
- SA MRC Unit On Risk & Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Jean-Paul Fouche
- SA MRC Unit On Risk & Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Landon Myer
- Centre for Infectious Disease Epidemiology and Research, Division of Epidemiology and Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Heather J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- Medical Research Council Unit On Child and Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Dan J Stein
- SA MRC Unit On Risk & Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biostatistics, School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jacqueline Hoare
- SA MRC Unit On Risk & Resilience in Mental Disorders, Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
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Guez-Barber D, Eisch AJ, Cristancho AG. Developmental Brain Injury and Social Determinants of Health: Opportunities to Combine Preclinical Models for Mechanistic Insights into Recovery. Dev Neurosci 2023; 45:255-267. [PMID: 37080174 PMCID: PMC10614252 DOI: 10.1159/000530745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 04/14/2023] [Indexed: 04/22/2023] Open
Abstract
Epidemiological studies show that social determinants of health are among the strongest factors associated with developmental outcomes after prenatal and perinatal brain injuries, even when controlling for the severity of the initial injury. Elevated socioeconomic status and a higher level of parental education correlate with improved neurologic function after premature birth. Conversely, children experiencing early life adversity have worse outcomes after developmental brain injuries. Animal models have provided vital insight into mechanisms perturbed by developmental brain injuries, which have indicated directions for novel therapeutics or interventions. Animal models have also been used to learn how social environments affect brain maturation through enriched environments and early adverse conditions. We recognize animal models cannot fully recapitulate human social circumstances. However, we posit that mechanistic studies combining models of developmental brain injuries and early life social environments will provide insight into pathways important for recovery. Some studies combining enriched environments with neonatal hypoxic injury models have shown improvements in developmental outcomes, but further studies are needed to understand the mechanisms underlying these improvements. By contrast, there have been more limited studies of the effects of adverse conditions on developmental brain injury extent and recovery. Uncovering the biological underpinnings for early life social experiences has translational relevance, enabling the development of novel strategies to improve outcomes through lifelong treatment. With the emergence of new technologies to analyze subtle molecular and behavioral phenotypes, here we discuss the opportunities for combining animal models of developmental brain injury with social construct models to deconvolute the complex interactions between injury, recovery, and social inequity.
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Affiliation(s)
- Danielle Guez-Barber
- Division of Child Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amelia J. Eisch
- Department of Anesthesiology and Critical Care, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ana G. Cristancho
- Division of Child Neurology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Peedicayil J. Genome-Environment Interactions and Psychiatric Disorders. Biomedicines 2023; 11:biomedicines11041209. [PMID: 37189827 DOI: 10.3390/biomedicines11041209] [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: 03/27/2023] [Revised: 04/08/2023] [Accepted: 04/17/2023] [Indexed: 05/17/2023] Open
Abstract
Environmental factors are known to interact with the genome by altering epigenetic mechanisms regulating gene expression and contributing to the pathogenesis of psychiatric disorders. This article is a narrative review of how the major environmental factors contribute to the pathogenesis of common psychiatric disorders such as schizophrenia, bipolar disorder, major depressive disorder, and anxiety disorder this way. The cited articles were published between 1 January 2000 and 31 December 2022 and were obtained from PubMed and Google Scholar. The search terms used were as follows: gene or genetic; genome; environment; mental or psychiatric disorder; epigenetic; and interaction. The following environmental factors were found to act epigenetically on the genome to influence the pathogenesis of psychiatric disorders: social determinants of mental health, maternal prenatal psychological stress, poverty, migration, urban dwelling, pregnancy and birth complications, alcohol and substance abuse, microbiota, and prenatal and postnatal infections. The article also discusses the ways by which factors such as drugs, psychotherapy, electroconvulsive therapy, and physical exercise act epigenetically to alleviate the symptoms of psychiatric disorders in affected patients. These data will be useful information for clinical psychiatrists and those researching the pathogenesis and treatment of psychiatric disorders.
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Affiliation(s)
- Jacob Peedicayil
- Department of Pharmacology & Clinical Pharmacology, Christian Medical College, Vellore 632 002, India
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Dye CK, Wu H, Monk C, Belsky DW, Alschuler D, Lee S, O’Donnell K, Scorza P. Mother's childhood adversity is associated with accelerated epigenetic aging in pregnancy and in male newborns. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.02.530806. [PMID: 36945654 PMCID: PMC10028804 DOI: 10.1101/2023.03.02.530806] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
Background Adverse childhood experiences (ACEs) are correlated with accelerated epigenetic aging, but it is not clear whether altered epigenetic aging from childhood adversities persists into adulthood and can be transmitted to the next generation. Thus, we tested whether mothers' childhood adversity is associated with accelerated epigenetic aging during pregnancy and in their newborn offspring. Methods Data were from the Avon Longitudinal Study of Parents and Children (ALSPAC) sub-study, Accessible Resource for Integrated Epigenomic Studies (ARIES). Women provided retrospective self-reports during pregnancy of ACE exposure. DNA methylation was measured in mothers during pregnancy and cord blood at birth. Estimates of epigenetic age acceleration were calculated using Principal Components of Horvath, Hannum skin & blood, GrimAge, PhenoAge, and DunedinPACE epigenetic clocks for mothers; and the Knight and Bohlin cord blood clocks for newborns. Associations between a cumulative maternal ACE score and epigenetic age acceleration were estimated using linear regression models, adjusting for maternal age at pregnancy, smoking during pregnancy, education, and pre-pregnancy BMI. Models for offspring were stratified by sex and additionally adjusted for gestation age. Results Mothers' total ACE score was positively associated with accelerated maternal PhenoAge and GrimAge. In newborn offspring, mothers' total ACE score was positively associated with accelerated epigenetic aging in males using the Bohlin clock, but not in females using either epigenetic clock. We found male offsprings' epigenetic age was accelerated in those born to mothers exposed to neglect using the Knight clock; and parental substance abuse using the Bohlin clock. Conclusion Our results show that mothers' ACE exposure is associated with DNAm age acceleration in male offspring, supporting the notion that DNAm age could be a marker of intergenerational biological embedding of mothers' childhood adversity. This is consistent with findings on vulnerability of male fetuses to environmental insults.
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Affiliation(s)
- Christian K. Dye
- Department of Environmental Health Sciences, Columbia University, New York, New York, USA
| | - Haotian Wu
- Department of Environmental Health Sciences, Columbia University, New York, New York, USA
| | - Catherine Monk
- Department of Psychiatry, Columbia University, Columbia University, New York, New York, USA
- Division of Behavioral Medicine, New York State Psychiatric Institute, New York, New York, USA
- Department of Obstetrics and Gynecology, Columbia University, New York, New York, USA
| | - Daniel W. Belsky
- Department of Epidemiology & Butler Columbia Aging Center, Columbia University, New York, New York, USA
| | - Daniel Alschuler
- Division of Behavioral Medicine, New York State Psychiatric Institute, New York, New York, USA
| | - Seonjoo Lee
- Division of Behavioral Medicine, New York State Psychiatric Institute, New York, New York, USA
- Department of Biostatistics, Columbia University, New York, New York, USA
| | - Kieran O’Donnell
- Yale Child Study Center, Yale School of Medicine, New Haven, Connecticut, USA
| | - Pamela Scorza
- Department of Psychiatry, Columbia University, Columbia University, New York, New York, USA
- Department of Obstetrics and Gynecology, Columbia University, New York, New York, USA
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10
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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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11
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Caro JC, Holuka C, Menta G, Turner JD, Vögele C, D'Ambrosio C. Children's internalizing behavior development is heterogeneously associated with the pace of epigenetic aging. Biol Psychol 2023; 176:108463. [PMID: 36436681 DOI: 10.1016/j.biopsycho.2022.108463] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Internalizing behaviors are an indicator of children's psychological and emotional development, predicting future mental disorders. Recent studies have identified associations between DNA methylation (DNAm) and internalizing behaviors. This prospective study aimed at exploring the associations between pace of biological aging and the developmental trajectories of internalizing behaviors. METHODS Participants were children from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (N = 974). Measures of DNA methylation were collected at birth, age 7 and ages 15-17. The pace of aging was estimated using the DunedinPoAm algorithm (PoAm). Internalizing behaviors reported by caregivers between ages 4 and 16 using the Strengths and Difficulties Questionnaire. To explore heterogeneity in the association between PoAm and internalizing behaviors we use Poisson quantile regression in cross-section heterogeneity and longitudinal latent class analysis over the childhood and adolescence. RESULTS Internalizing behavior trajectories were identified: low-risk, childhood limited, late onset and early onset (persistent). Accelerated aging at birth was negatively associated with internalizing behaviors in early childhood but positively correlated during adolescence. Higher PoAm at birth increased chance of low-risk profile, while decreasing likelihood of childhood limited trajectory. PoAm at age 15 was negatively associated with childhood limited profile and positively linked to late onset trajectories. Associations were larger at higher values of internalizing symptoms. CONCLUSIONS The heterogeneity in the association between biological age acceleration and internalizing behaviors suggests a complex dynamic relationship, particularly in children with high or increased risk of adverse mental health outcomes.
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Affiliation(s)
- Juan Carlos Caro
- Department of Behavioral and Cognitive Sciences, University of Luxembourg, Luxembourg.
| | - Cyrielle Holuka
- Department of Infection and Immunity, Luxembourg Institute of Health, Luxembourg; Faculty of Sciences, University of Luxembourg, Luxembourg
| | - Giorgia Menta
- Luxembourg Institute of Socio-Economic Research (LISER), Luxembourg
| | - Jonathan D Turner
- Department of Infection and Immunity, Luxembourg Institute of Health, Luxembourg
| | - Claus Vögele
- Department of Behavioral and Cognitive Sciences, University of Luxembourg, Luxembourg
| | - Conchita D'Ambrosio
- Department of Behavioral and Cognitive Sciences, University of Luxembourg, Luxembourg
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12
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Dos Santos Oliveira NC, Katrinli S, de Assis SG, Smith AK, Serpeloni F. Community and domestic violence are associated with DNA methylation GrimAge acceleration and heart rate variability in adolescents. Eur J Psychotraumatol 2023; 14:2202054. [PMID: 37144662 PMCID: PMC10165931 DOI: 10.1080/20008066.2023.2202054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/06/2023] Open
Abstract
Background: Cumulative exposure to violence can change the regulation of epigenetic and physiological markers. Although violence has been associated with accelerated cellular aging, little is known about associations with cardiac autonomic activity.Objective: The current study aimed to investigate the relationship of exposure to community and domestic violence (CDV) with vagal activity and epigenetic aging acceleration.Methods: A total of 86 adolescents (57% female) were evaluated and interviewed at two time-points in São Gonçalo (2014-2019), a Brazilian city with high levels of violence. Exposure to CDV was assessed in both time-points. GrimAge acceleration was calculated from saliva DNA methylation using Infinium HumanMethylation450K (Illumina) collected in the first assessment. Heart rate variability (HRV) was collected during two stress tasks at the second assessment.Results: The exposure to violence witnessed or directly experienced at home and in the community increased significantly (t = 4.87, p < .01) across two-time points, and males had reported higher violence exposure (t = 2.06, p = .043). Violence at 1st assessment was significantly associated with GrimAge acceleration (B = .039, p value = .043). Violence at both assessments were associated with HRV measured during the narration of the worst trauma (traumaHRV) (B = .009, p value = .039, and B = .007, p value = .024, 1st and 2nd assessment respectively). GrimAge acceleration was significantly associated with traumaHRV (B = .043, p value = .049), and HRV measured during a 3D roller coaster video (B = .061, p value = .024).Conclusions: We found relevant evidence that experiencing violence during adolescence is associated with epigenetic aging and stress-related vagal activity. Understanding these factors during this period could contribute to the development of early interventions for health promotion.HIGHLIGHTS Higher exposure to Community and domestic violence is associated with increased GrimAge acceleration.Higher GrimAge acceleration is associated with increased stress-related vagal activity.Exposure to community and domestic violence increased significantly over time.
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Affiliation(s)
- Nayara Cristina Dos Santos Oliveira
- National Institute of Woman, Child, and Adolescence Health Fernandes Figueira, Rio de Janeiro, Brazil
- Department of Violence and Health Studies Jorge Careli, National School of Public Health, Fiocruz, Rio de Janeiro, Brazil
| | - Seyma Katrinli
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
| | - Simone Gonçalves de Assis
- National Institute of Woman, Child, and Adolescence Health Fernandes Figueira, Rio de Janeiro, Brazil
- Department of Violence and Health Studies Jorge Careli, National School of Public Health, Fiocruz, Rio de Janeiro, Brazil
| | - Alicia K Smith
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA
| | - Fernanda Serpeloni
- Department of Violence and Health Studies Jorge Careli, National School of Public Health, Fiocruz, Rio de Janeiro, Brazil
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13
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Cheong Y, Nishitani S, Yu J, Habata K, Kamiya T, Shiotsu D, Omori IM, Okazawa H, Tomoda A, Kosaka H, Jung M. The effects of epigenetic age and its acceleration on surface area, cortical thickness, and volume in young adults. Cereb Cortex 2022; 32:5654-5663. [PMID: 35196707 DOI: 10.1093/cercor/bhac043] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/20/2022] [Accepted: 01/21/2022] [Indexed: 01/25/2023] Open
Abstract
DNA methylation age has been used in recent studies as an epigenetic marker of accelerated cellular aging, whose contribution to the brain structural changes was lately acknowledged. We aimed to characterize the association of epigenetic age (i.e. estimated DNA methylation age) and its acceleration with surface area, cortical thickness, and volume in healthy young adults. Using the multi-tissue method (Horvath S. DNA methylation age of human tissues and cell types. 2013. Genome Biol 14), epigenetic age was computed with saliva sample. Epigenetic age acceleration was derived from residuals after adjusting epigenetic age for chronological age. Multiple regression models were computed for 148 brain regions for surface area, cortical thickness, and volume using epigenetic age or accelerated epigenetic age as a predictor and controlling for sex. Epigenetic age was associated with surface area reduction of the left insula. It was also associated with cortical thinning and volume reduction in multiple regions, with prominent changes of cortical thickness in the left temporal regions and of volume in the bilateral orbital gyri. Finally, accelerated epigenetic age was negatively associated with right cuneus gyrus volume. Our findings suggest that understanding the mechanisms of epigenetic age acceleration in young individuals may yield valuable insights into the relationship between epigenetic aging and the cortical change and on the early development of neurocognitive pathology among young adults.
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Affiliation(s)
- Yongjeon Cheong
- Cognitive Science Research Group, Korea Brain Research Institute, Daegu 41062, South Korea
| | - Shota Nishitani
- Research Center for Child Mental Development, University of Fukui, Eiheiji, Fukui 910-1193, Japan.,Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka 565-0871, Japan
| | - Jinyoung Yu
- Cognitive Science Research Group, Korea Brain Research Institute, Daegu 41062, South Korea
| | - Kaie Habata
- Department of Neuropsychiatry, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji, Fukui 910-1193, Japan
| | - Taku Kamiya
- Department of Neuropsychiatry, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji, Fukui 910-1193, Japan
| | - Daichi Shiotsu
- Department of Neuropsychiatry, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji, Fukui 910-1193, Japan
| | - Ichiro M Omori
- Department of Neuropsychiatry, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji, Fukui 910-1193, Japan
| | - Hidehiko Okazawa
- Department of Neuropsychiatry, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji, Fukui 910-1193, Japan.,Biomedical Imaging Research Center, University of Fukui, Eiheiji, Fukui 910-1193, Japan
| | - Akemi Tomoda
- Research Center for Child Mental Development, University of Fukui, Eiheiji, Fukui 910-1193, Japan.,Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka 565-0871, Japan
| | - Hirotaka Kosaka
- Research Center for Child Mental Development, University of Fukui, Eiheiji, Fukui 910-1193, Japan.,Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka 565-0871, Japan.,Department of Neuropsychiatry, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji, Fukui 910-1193, Japan
| | - Minyoung Jung
- Cognitive Science Research Group, Korea Brain Research Institute, Daegu 41062, South Korea
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14
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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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15
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Nishitani S, Kasaba R, Hiraoka D, Shimada K, Fujisawa TX, Okazawa H, Tomoda A. Epigenetic Clock Deceleration and Maternal Reproductive Efforts: Associations With Increasing Gray Matter Volume of the Precuneus. Front Genet 2022; 13:803584. [PMID: 35309114 PMCID: PMC8926035 DOI: 10.3389/fgene.2022.803584] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/02/2022] [Indexed: 11/30/2022] Open
Abstract
Reproductive efforts, such as pregnancy, delivery, and interaction with children, make maternal brains optimized for child-rearing. However, extensive studies in non-human species revealed a tradeoff between reproductive effort and life expectancy. In humans, large demographic studies have shown that this is the case for the most part; however, molecular marker studies regarding aging remain controversial. There are no studies simultaneously evaluating the relationship between reproductive effort, aging, and brain structures. We therefore examined the associations between reproductive efforts (parity status, number of deliveries, motherhood period, and cumulative motherhood period), DNA methylation age (mAge) acceleration (based on Horvath’s multi-tissue clock and the skin & blood clock), and the regional gray matter volumes (obtained through brain magnetic resonance imaging (MRI) using voxel-based morphometry) in 51 mothers aged 27–46 years of children in early childhood. We found that increasing reproductive efforts were significantly associated with decelerated aging in mothers with one to four children, even after adjusting for the confounding effects in the multiple linear regression models. We also found that the left precuneus gray matter volume was larger as deceleration of aging occurred; increasing left precuneus gray matter volume, on the other hand, mediates the relationship between parity status and mAge deceleration. Our findings suggest that mothers of children in early childhood, who have had less than four children, may benefit from deceleration of aging mediated via structural changes in the precuneus.
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Affiliation(s)
- Shota Nishitani
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Hamamatsu University School of Medicine, Osaka University, Kanazawa University, Chiba University, University of Fukui, Osaka, Japan
- Life Science Innovation Center, University of Fukui, Fukui, Japan
- *Correspondence: Shota Nishitani, ; Akemi Tomoda,
| | - Ryoko Kasaba
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Hamamatsu University School of Medicine, Osaka University, Kanazawa University, Chiba University, University of Fukui, Osaka, Japan
| | - Daiki Hiraoka
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
| | - Koji Shimada
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Hamamatsu University School of Medicine, Osaka University, Kanazawa University, Chiba University, University of Fukui, Osaka, Japan
- Life Science Innovation Center, University of Fukui, Fukui, Japan
- Biomedical Imaging Research Center, University of Fukui, Fukui, Japan
| | - Takashi X. Fujisawa
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Hamamatsu University School of Medicine, Osaka University, Kanazawa University, Chiba University, University of Fukui, Osaka, Japan
- Life Science Innovation Center, University of Fukui, Fukui, Japan
| | - Hidehiko Okazawa
- Life Science Innovation Center, University of Fukui, Fukui, Japan
- Biomedical Imaging Research Center, University of Fukui, Fukui, Japan
| | - Akemi Tomoda
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Hamamatsu University School of Medicine, Osaka University, Kanazawa University, Chiba University, University of Fukui, Osaka, Japan
- Life Science Innovation Center, University of Fukui, Fukui, Japan
- Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui, Japan
- *Correspondence: Shota Nishitani, ; Akemi Tomoda,
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16
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Nizam W, Yeo HL, Obeng-Gyasi S, Brock MV, Johnston FM. Disparities in Surgical Oncology: Management of Advanced Cancer. Ann Surg Oncol 2021; 28:8056-8073. [PMID: 34268636 DOI: 10.1245/s10434-021-10275-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 05/17/2021] [Indexed: 02/06/2023]
Abstract
Significant variations in the patterns of care, incidence, and mortality rates of several common cancers have been noted. These disparities have been attributed to a complex interplay of factors, including genetic, environmental, and healthcare-related components. Within this review, primarily focusing on commonly occurring cancers (breast, lung, colorectal), we initially summarize the burden of these disparities with regard to incidence and screening patterns. We then explore the interaction between several proven genetic, epigenetic, and environmental influences that are known to contribute to these disparities.
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Affiliation(s)
- Wasay Nizam
- Department of Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - Heather L Yeo
- Department of Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Samilia Obeng-Gyasi
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | - Malcolm V Brock
- Department of Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - Fabian M Johnston
- Department of Surgery, Johns Hopkins University, Baltimore, MD, USA. .,Division of Gastrointestinal Surgical Oncology, Peritoneal Surface Malignancy Program, Complex General Surgical Oncology Fellowship, Division of Surgical Oncology, Johns Hopkins University, Baltimore, MD, USA.
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17
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Carroll JE, Ross KM, Horvath S, Okun M, Hobel C, Rentscher KE, Coussons-Read M, Schetter CD. Postpartum sleep loss and accelerated epigenetic aging. Sleep Health 2021; 7:362-367. [PMID: 33903077 PMCID: PMC10027398 DOI: 10.1016/j.sleh.2021.02.002] [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] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 02/02/2021] [Accepted: 02/04/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Insufficient sleep has been linked to accelerated biological aging in adults, providing a possible mechanism through which sleep may influence disease risk. In the current paper, we test the hypothesis that short sleep in postpartum would predict older biological age in women one year post birth, as indicated by accelerated epigenetic aging. METHODS As part of a larger study of pregnancy and postpartum health (Healthy Babies Before Birth, HB3), 33 mothers provided blood samples for epigenetic aging clock estimates. intrinsic epigenetic age acceleration (IEAA), extrinsic apigenetic age acceleration, phenotypic epigenetic age acceleration (PEAA), GrimAge, DNAmPAI-1, and DNAm telomere length (TL) were calculated using established protocols. Sleep duration was categorized as insufficient sleep (<7 hours per night) or healthy sleep duration (7+ hours per night). Sleep quality was determined using the Pittsburgh Sleep Quality Index (Global score >5). RESULTS Maternal postpartum sleep duration at 6 months, but not 12 months, following a birth was predictive of older 12-month IEAA, B (SE) = 3.0 (1.2), P = .02, PEAA, B (SE) = 7.3 (2.0), P = .002, and DNAmTL, B (SE) = -0.18 (0.07), P = .01, but not other indices, all P> .127. Self-reported poor sleep quality at 6 and 12 months was not significantly related to epigenetic age. CONCLUSIONS These findings suggest that insufficient sleep duration during the early postpartum period is associated with accelerated biological aging. As the sample size is small, additional research is warranted with a larger sample size to replicate these findings.
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Affiliation(s)
- Judith E Carroll
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, USA.
| | - Kharah M Ross
- Department of Psychology, University of California, Los Angeles, Los Angeles, California, USA
| | - Steve Horvath
- Department of Biostatistics, University of California, Los Angeles, Los Angeles, California, USA
| | - Michele Okun
- Department of Psychology, University of Colorado, Colorado Springs, Colorado Springs, Colorado, USA
| | - Calvin Hobel
- Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Kelly E Rentscher
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, USA
| | - Mary Coussons-Read
- Department of Psychology, University of Colorado, Colorado Springs, Colorado Springs, Colorado, USA
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