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Murgatroyd C, Salontaji K, Smajlagic D, Page C, Sanders F, Jugessur A, Lyle R, Tsotsi S, Haftorn K, Felix J, Walton E, Tiemeier H, Cecil C, Bekkhus M. Prenatal stress and gestational epigenetic age: No evidence of associations based on a large prospective multi-cohort study. RESEARCH SQUARE 2024:rs.3.rs-4257223. [PMID: 39011115 PMCID: PMC11247928 DOI: 10.21203/rs.3.rs-4257223/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Psychological stress during pregnancy is known to have a range of long-lasting negative consequences on the development and health of offspring. Here, we tested whether a measure of prenatal early-life stress was associated with a biomarker of physiological development at birth, namely epigenetic gestational age, using foetal cord-blood DNA-methylation data. Longitudinal cohorts from the Netherlands (Generation R Study [Generation R], n = 1,396), the UK (British Avon Longitudinal Study of Parents and Children [ALSPAC], n = 642), and Norway (Mother, Father and Child Cohort Study [MoBa], n1 = 1,212 and n2 = 678) provided data on prenatal maternal stress and genome-wide DNA methylation from cord blood and were meta-analysed (pooled n = 3,928). Measures of epigenetic age acceleration were calculated using three different gestational epigenetic clocks: "Bohlin", "EPIC overlap" and "Knight". Prenatal stress exposure, examined as an overall cumulative score, was not significantly associated with epigenetically-estimated gestational age acceleration or deceleration in any of the clocks, based on the results of the pooled meta-analysis or those of the individual cohorts. No significant associations were identified with specific domains of prenatal stress exposure, including negative life events, contextual (socio-economic) stressors, parental risks (e.g., maternal psychopathology) and interpersonal risks (e.g., family conflict). Further, no significant associations were identified when analyses were stratified by sex. Overall, we find little support that prenatal psychosocial stress is associated with variation in epigenetic age at birth within the general paediatric population.
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Sobol M, Błachnio A, Plucińska E, Hryhorchuk I, Meisner M, Wdowiak A, Wdowiak N, Szczepaniak P, Jankowski KS. Associations of couples' balanced time perspective with maternal prenatal hair cortisol concentration and perceived stress. Psychoneuroendocrinology 2024; 168:107115. [PMID: 39002452 DOI: 10.1016/j.psyneuen.2024.107115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 06/22/2024] [Accepted: 06/27/2024] [Indexed: 07/15/2024]
Abstract
OBJECTIVE The stress experienced by a woman during pregnancy not only has a negative impact on her well-being and physical health but also adversely affects the fetus. Stress is strongly linked with time perspective, defined as the tendency to focus on the past, present, or future. The study aimed to investigate how couples' balanced time perspective was related to maternal prenatal hair cortisol concentration and perceived stress in the first and third trimesters of pregnancy. METHOD The participants were pregnant women and their male partners (84 couples). Women completed online questionnaires: the Zimbardo Time Perspective Inventory (ZTPI), the Dark Future Scale (DFS), and the Perceived Stress Scale, while men completed online versions of the ZTPI and the DFS. These questionnaire measurements were conducted in the first and third trimesters. Maternal cortisol levels were measured in hair samples taken during gynecological visits, in the first and third trimesters. RESULTS The study revealed that the more unbalanced the partner's time perspective, the more unbalanced the pregnant woman's time perspective and, consequently, the higher the stress perceived by the pregnant woman. This effect was present in both the first (B = 1.06, SE =.36, p <.001, 95 % CI [.398, 1.826]) and the third trimesters (B =.98, SE =.36, p <.001, 95 % CI [.327, 1.774]). Moreover, the more unbalanced the partner's time perspective, the more unbalanced the woman's time perspective and, consequently, the lower the hair cortisol concentration in the first trimester (B = -.08, SE =.04, p <.05, 95 % CI [-.171, -.010]). Partner's unbalanced time perspective in the first trimester was also a predictor of stress perceived by the woman in the third trimester (t = 2.38, p <.05). CONCLUSIONS The results suggest the significance of the partner's time perspective for the pregnant woman's mental health. The partner's unbalanced, negative time perspective in the first trimester may increase the pregnant woman's stress in the third trimester. This effect can be even stronger than that of the woman's time perspective.
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Affiliation(s)
- Małgorzata Sobol
- Department of Psychology, University of Warsaw, ul. Stawki 5/7, Warsaw 00-183, Poland.
| | - Agata Błachnio
- John Paul II Catholic University of Lublin, al. Raclawickie 14, Lublin 20-950, Poland
| | | | - Inna Hryhorchuk
- Żywiec Hospital, ul. Pola Lisickich 80, Żywiec 34-300, Poland
| | - Michał Meisner
- Department of Psychology, University of Warsaw, ul. Stawki 5/7, Warsaw 00-183, Poland
| | - Artur Wdowiak
- Medical University of Lublin, Al. Racławickie 1, Lublin 20-059, Poland
| | - Natalia Wdowiak
- Medical University of Lublin, Al. Racławickie 1, Lublin 20-059, Poland
| | | | - Konrad S Jankowski
- Department of Psychology, University of Warsaw, ul. Stawki 5/7, Warsaw 00-183, Poland
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Dieckmann L, Czamara D. Epigenetics of prenatal stress in humans: the current research landscape. Clin Epigenetics 2024; 16:20. [PMID: 38308342 PMCID: PMC10837967 DOI: 10.1186/s13148-024-01635-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/25/2024] [Indexed: 02/04/2024] Open
Abstract
Fetal exposure to prenatal stress can have significant consequences on short- and long-term health. Epigenetic mechanisms, especially DNA methylation (DNAm), are a possible process how these adverse environmental events could be biologically embedded. We evaluated candidate gene as well as epigenome-wide association studies associating prenatal stress and DNAm changes in peripheral tissues; however, most of these findings lack robust replication. Prenatal stress-associated epigenetic changes have also been linked to child health including internalizing problems, neurobehavioral outcomes and stress reactivity. Future studies should focus on refined measurement and definition of prenatal stress and its timing, ideally also incorporating genomic as well as longitudinal information. This will provide further opportunities to enhance our understanding of the biological embedding of prenatal stress exposure.
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Affiliation(s)
- Linda Dieckmann
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry, Munich, Germany
| | - Darina Czamara
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany.
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Ma R, Wang P, Yang Q, Zhu Y, Zhang L, Wang Y, Sun L, Li W, Ge J, Zhu P. Interpregnancy interval and early infant neurodevelopment: the role of maternal-fetal glucose metabolism. BMC Med 2024; 22:2. [PMID: 38169387 PMCID: PMC10762827 DOI: 10.1186/s12916-023-03191-0] [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: 03/03/2023] [Accepted: 11/22/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Interpregnancy interval (IPI) is associated with a variety of adverse maternal and infant outcomes. However, reports of its associations with early infant neurodevelopment are limited and the mechanisms of this association have not been elucidated. Maternal-fetal glucose metabolism has been shown to be associated with infant neurodevelopmental. The objective of this study was to determine whether this metabolism plays a role in the relationship between IPI and neurodevelopment. METHODS This prospective birth cohort study included 2599 mother-infant pairs. The IPI was calculated by subtracting the gestational age of the current pregnancy from the interval at the end of the previous pregnancy. Neurodevelopmental outcomes at 12 months in infants were assessed by the Ages and Stages Questionnaire Edition 3 (ASQ-3). Maternal fasting venous blood was collected at 24-28 weeks and cord blood was collected at delivery. The association between IPI and neurodevelopment was determined by logistic regression. Mediation and sensitivity analyses were also conducted. RESULTS In our cohort, 14.0% had an IPI < 12 months. IPI < 12 months increased the failure of the communication domain, fine motor domain, and personal social domain of the ASQ (relative risks (RRs) with 95% confidence interval (CI): 1.73 [1.11,2.70]; 1.73 [1.10,2.72]; 1.51 [1.00,2.29]). Maternal homeostasis model assessment of insulin resistance (HOMA-IR) and cord blood C-peptide was significantly associated with failure in the communication domain [RRs with 95% CI: 1.15 (1.02, 1.31); 2.15 (1.26, 3.67)]. The proportion of the association between IPI and failure of the communication domain risk mediated by maternal HOMA-IR and cord blood C-peptide was 14.4%. CONCLUSIONS IPI < 12 months was associated with failing the communication domain in infants. Maternal-fetal glucose metabolism abnormality may partially explain the risk of neurodevelopmental delay caused by short IPI.
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Affiliation(s)
- Ruirui Ma
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China
| | - Peng Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China
| | - Qiaolan Yang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yuanyuan Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China
| | - Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China
| | - Yuhong Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China
| | - Lijun Sun
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Wenxiang Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jinfang Ge
- School of Pharmacy, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, China.
- NHC Key Laboratory of Study On Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China.
- Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China.
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Drzymalla E, Crider KS, Wang A, Marta G, Khoury MJ, Rasooly D. Epigenome-wide association studies of prenatal maternal mental health and infant epigenetic profiles: a systematic review. Transl Psychiatry 2023; 13:377. [PMID: 38062042 PMCID: PMC10703876 DOI: 10.1038/s41398-023-02620-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 10/01/2023] [Accepted: 10/06/2023] [Indexed: 12/18/2023] Open
Abstract
Prenatal stress and poor maternal mental health are associated with adverse offspring outcomes; however, the biological mechanisms are unknown. Epigenetic modification has linked maternal health with offspring development. Epigenome-wide association studies (EWAS) have examined offspring DNA methylation profiles for association with prenatal maternal mental health to elucidate mechanisms of these complex relationships. The objective of this study is to provide a comprehensive, systematic review of EWASs of infant epigenetic profiles and prenatal maternal anxiety, depression, or depression treatment. We conducted a systematic literature search following PRISMA guidelines for EWAS studies between prenatal maternal mental health and infant epigenetics through May 22, 2023. Of 645 identified articles, 20 fulfilled inclusion criteria. We assessed replication of CpG sites among studies, conducted gene enrichment analysis, and evaluated the articles for quality and risk of bias. We found one repeated CpG site among the maternal depression studies; however, nine pairs of overlapping differentially methylatd regions were reported in at least two maternal depression studies. Gene enrichment analysis found significant pathways for maternal depression but not for any other maternal mental health category. We found evidence that these EWAS present a medium to high risk of bias. Exposure to prenatal maternal depression and anxiety or treatment for such was not consistently associated with epigenetic changes in infants in this systematic review and meta-analysis. Small sample size, potential bias due to exposure misclassification and statistical challenges are critical to address in future efforts to explore epigenetic modification as a potential mechanism by which prenatal exposure to maternal mental health disorders leads to adverse infant outcomes.
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Affiliation(s)
- Emily Drzymalla
- Division of Blood Disorders and Public Health Genomics, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Krista S Crider
- Infant Outcomes Research and Prevention Branch, Division of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Arick Wang
- Infant Outcomes Research and Prevention Branch, Division of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Muin J Khoury
- Division of Blood Disorders and Public Health Genomics, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Danielle Rasooly
- Division of Blood Disorders and Public Health Genomics, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
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Sobol M, Błachnio A, Meisner M, Wdowiak A, Sobol MK. The relationship of couples' time perspective to pregnant women's depression symptoms and stress: Preliminary results. J Psychosom Res 2023; 174:111495. [PMID: 37717426 DOI: 10.1016/j.jpsychores.2023.111495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 09/02/2023] [Accepted: 09/10/2023] [Indexed: 09/19/2023]
Abstract
OBJECTIVE The aim of the study was to examine the relationship of a couple's time perspective to a woman's depression symptoms and stress. METHOD The participants were 48 pregnant women and 46 male partners of these women. The measurements have been taken during the first and third trimester. Women were examined by gynecologists during gynecological visits. During these visits measurements of gynecological pregnancy evaluation were administered. Then women completed online questionnaires: the Zimbardo Time Perspective Inventory Past Negative scale, the Dark Future Scale, the Edinburgh Postpartum Depression Scale and the Perceived Stress Scale at home. Men completed online questionnaires: the Zimbardo Time Perspective Inventory Past Negative scale, and the Dark Future Scale at home. RESULTS The results showed that women's past negative perspective in the first trimester was related to depression symptoms and stress in the first trimester. In the third trimester, women's future negative perspective was related to depression symptoms. Men's future negative perspective in the first trimester was related to women's stress in the first trimester. Moreover, the results suggest that the level of the woman's future negative perspective significantly increases during pregnancy. CONCLUSIONS Attitudes towards time of both the pregnant woman and her partner are related to the emotional state of the woman during pregnancy.
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Affiliation(s)
- Małgorzata Sobol
- Department of Psychology, University of Warsaw, ul. Stawki 5/7, 00-183 Warsaw, Poland.
| | - Agata Błachnio
- John Paul II Catholic University of Lublin, al. Raclawickie 14, 20-950 Lublin, Poland
| | - Michał Meisner
- Department of Psychology, University of Warsaw, ul. Stawki 5/7, 00-183 Warsaw, Poland
| | - Artur Wdowiak
- Medical University of Lublin, Al. Racławickie 1, 20-059 Lublin, Poland
| | - Marek K Sobol
- Hospital Center Châlons-En-Champagne, 51 Rue du Commandant Derrien, 51000 Châlons-En-Champagne, France
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Kocher K, Bhattacharya S, Niforatos-Andescavage N, Almalvez M, Henderson D, Vilain E, Limperopoulos C, Délot EC. Genome-wide neonatal epigenetic changes associated with maternal exposure to the COVID-19 pandemic. BMC Med Genomics 2023; 16:268. [PMID: 37899449 PMCID: PMC10614377 DOI: 10.1186/s12920-023-01707-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 10/17/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND During gestation, stressors to the fetus, including viral exposure or maternal psychological distress, can fundamentally alter the neonatal epigenome, and may be associated with long-term impaired developmental outcomes. The impact of in utero exposure to the COVID-19 pandemic on the newborn epigenome has yet to be described. METHODS This study aimed to determine whether there are unique epigenetic signatures in newborns who experienced otherwise healthy pregnancies that occurred during the COVID-19 pandemic (Project RESCUE). The pre-pandemic control and pandemic cohorts (Project RESCUE) included in this study are part of a prospective observational and longitudinal cohort study that evaluates the impact of elevated prenatal maternal stress during the COVID-19 pandemic on early childhood neurodevelopment. Using buccal swabs collected at birth, differential DNA methylation analysis was performed using the Infinium MethylationEPIC arrays and linear regression analysis. Pathway analysis and gene ontology enrichment were performed on resultant gene lists. RESULTS Widespread differential methylation was found between neonates exposed in utero to the pandemic and pre-pandemic neonates. In contrast, there were no apparent epigenetic differences associated with maternal COVID-19 infection during pregnancy. Differential methylation was observed among genomic sites that underpin important neurological pathways that have been previously reported in the literature to be differentially methylated because of prenatal stress, such as NR3C1. CONCLUSIONS The present study reveals potential associations between exposure to the COVID-19 pandemic during pregnancy and subsequent changes in the newborn epigenome. While this finding warrants further investigation, it is a point that should be considered in any study assessing newborn DNA methylation studies obtained during this period, even in otherwise healthy pregnancies.
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Affiliation(s)
- Kristen Kocher
- Center for Genetic Medicine Research, Children's National Research & Innovation Campus, Washington, DC, USA
- Department of Genomics & Precision Medicine, George Washington University, Washington, DC, USA
| | - Surajit Bhattacharya
- Center for Genetic Medicine Research, Children's National Research & Innovation Campus, Washington, DC, USA
| | | | - Miguel Almalvez
- Institute for Clinical and Translational Science, University of California, Irvine, CA, USA
| | - Diedtra Henderson
- Developing Brain Institute, Children's National Hospital, Washington, DC, USA
| | - Eric Vilain
- Institute for Clinical and Translational Science, University of California, Irvine, CA, USA.
| | | | - Emmanuèle C Délot
- Center for Genetic Medicine Research, Children's National Research & Innovation Campus, Washington, DC, USA.
- Department of Genomics & Precision Medicine, George Washington University, Washington, DC, USA.
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Cohen NJ, Defina S, Rifas-Shiman SL, Faleschini S, Kirby RS, Chen H, Wilson R, Fryer K, Marroun HE, Cecil CAM, Hivert MF, Oken E, Tiemeier H, Alman AC. Associations of prenatal maternal depressive symptoms with cord blood glucocorticoids and child hair cortisol levels in the project viva and the generation R cohorts: a prospective cohort study. BMC Pediatr 2023; 23:540. [PMID: 37898740 PMCID: PMC10612353 DOI: 10.1186/s12887-023-04372-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 10/18/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND Prior studies have reported conflicting results regarding the association of prenatal maternal depression with offspring cortisol levels. We examined associations of high levels of prenatal depressive symptoms with child cortisol biomarkers. METHODS In Project Viva (n = 925, Massachusetts USA), mothers reported their depressive symptoms using the Edinburgh Postnatal Depression Scale (EPDS) during pregnancy, cord blood glucocorticoids were measured at delivery, and child hair cortisol levels were measured in mid-childhood (mean (SD) age: 7.8 (0.8) years) and early adolescence (mean (SD) age: 13.2 (0.9) years). In the Generation R Study (n = 1644, Rotterdam, The Netherlands), mothers reported depressive symptoms using the Brief Symptom Inventory (BSI) during pregnancy, and child hair cortisol was measured at a mean (SD) age of 6.0 (0.5) years. We used cutoffs of ≥ 13 for the EPDS and > 0.75 for the BSI to indicate high levels of prenatal depressive symptoms. We used multivariable linear regression models adjusted for child sex and age (at outcome), and maternal pre-pregnancy BMI, education, social support from friends/family, pregnancy smoking status, marital status, and household income to assess associations separately in each cohort. We also meta-analyzed childhood hair cortisol results from both cohorts. RESULTS 8.0% and 5.1% of women respectively experienced high levels of prenatal depressive symptoms in Project Viva and the Generation R Study. We found no associations between high levels of maternal depressive symptoms during pregnancy and child cortisol biomarkers in either cohort. CONCLUSIONS The present study does not find support for the direct link between high levels of maternal depressive symptoms and offspring cortisol levels.
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Affiliation(s)
- Nathan J Cohen
- College of Public Health, University of South Florida, Tampa, FL, USA.
| | - Serena Defina
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Sabrina Faleschini
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Russell S Kirby
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Henian Chen
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Ronee Wilson
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Kimberly Fryer
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Psychology, Education, and Child Studies, Erasmus School of Social and Behavioral Sciences, Rotterdam, The Netherlands
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Amy C Alman
- College of Public Health, University of South Florida, Tampa, FL, USA
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9
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Alameda L, Liu Z, Sham PC, Aas M, Trotta G, Rodriguez V, Di Forti M, Stilo SA, Kandaswamy R, Arango C, Arrojo M, Bernardo M, Bobes J, de Haan L, Del-Ben CM, Gayer-Anderson C, Sideli L, Jones PB, Jongsma HE, Kirkbride JB, La Cascia C, Lasalvia A, Tosato S, Llorca PM, Menezes PR, van Os J, Quattrone D, Rutten BP, Santos JL, Sanjuán J, Selten JP, Szöke A, Tarricone I, Tortelli A, Velthorst E, Morgan C, Dempster E, Hannon E, Burrage J, Dwir D, Arumuham A, Mill J, Murray RM, Wong CCY. Exploring the mediation of DNA methylation across the epigenome between childhood adversity and First Episode of Psychosis-findings from the EU-GEI study. Mol Psychiatry 2023; 28:2095-2106. [PMID: 37062770 DOI: 10.1038/s41380-023-02044-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 03/04/2023] [Accepted: 03/20/2023] [Indexed: 04/18/2023]
Abstract
ABTRACT Studies conducted in psychotic disorders have shown that DNA-methylation (DNAm) is sensitive to the impact of Childhood Adversity (CA). However, whether it mediates the association between CA and psychosis is yet to be explored. Epigenome wide association studies (EWAS) using the Illumina Infinium-Methylation EPIC array in peripheral blood tissue from 366 First-episode of psychosis and 517 healthy controls was performed. Adversity scores were created for abuse, neglect and composite adversity with the Childhood Trauma Questionnaire (CTQ). Regressions examining (I) CTQ scores with psychosis; (II) with DNAm EWAS level and (III) between DNAm and caseness, adjusted for a variety of confounders were conducted. Divide-Aggregate Composite-null Test for the composite null-hypothesis of no mediation effect was conducted. Enrichment analyses were conducted with missMethyl package and the KEGG database. Our results show that CA was associated with psychosis (Composite: OR = 1.68; p = <0.001; abuse: OR = 2.16; p < 0.001; neglect: OR = 2.27; p = <0.001). None of the CpG sites significantly mediated the adversity-psychosis association after Bonferroni correction (p < 8.1 × 10-8). However, 28, 34 and 29 differentially methylated probes associated with 21, 27, 20 genes passed a less stringent discovery threshold (p < 5 × 10-5) for composite, abuse and neglect respectively, with a lack of overlap between abuse and neglect. These included genes previously associated to psychosis in EWAS studies, such as PANK1, SPEG TBKBP1, TSNARE1 or H2R. Downstream gene ontology analyses did not reveal any biological pathways that survived false discovery rate correction. Although at a non-significant level, DNAm changes in genes previously associated with schizophrenia in EWAS studies may mediate the CA-psychosis association. These results and associated involved processes such as mitochondrial or histaminergic disfunction, immunity or neural signalling requires replication in well powered samples. The lack of overlap between mediating genes associated with abuse and neglect suggests differential biological trajectories linking CA subtypes and psychosis.
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Affiliation(s)
- Luis Alameda
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience. King's College of London, London, UK.
- Instituto de Investigación Sanitaria de Sevilla, IbiS, Hospital Universitario Virgen del Rocío, Department of Psychiatry, Universidad de Sevilla, Seville, Spain.
| | - Zhonghua Liu
- Department of Biostatistics, Columbia University, New York, NY, USA
| | - Pak C Sham
- Department of Psychiatry, State Key Laboratory of Brain and Cognitive Sciences, and Centre for PanorOmic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Monica Aas
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Giulia Trotta
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Victoria Rodriguez
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience. King's College of London, London, UK
| | - Marta Di Forti
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Simona A Stilo
- Department of Mental Health and Addiction Services, ASP Crotone, Crotone, Italy
| | - Radhika Kandaswamy
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Psychiatric Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi I Sunyer, Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain
| | - Julio Bobes
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Department of Medicine, Psychiatry Area, School of Medicine, Universidad de Oviedo, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain
| | - Lieuwe de Haan
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Cristina Marta Del-Ben
- Neuroscience and Behaviour Department, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | | | - Lucia Sideli
- LUMSA University, Department of Human Science and Department of Psychosis Studies, KCL, Rome, Italy
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- CAMEO Early Intervention Service, Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
| | - Hannah E Jongsma
- Psylife Group, Division of Psychiatry, University College London, London, UK
| | - James B Kirkbride
- Psylife Group, Division of Psychiatry, University College London, London, UK
| | - Caterina La Cascia
- Section of Psychiatry, Department of Biomedicine, Neuroscience and advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
| | - Antonio Lasalvia
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | - Sarah Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | | | - Paulo Rossi Menezes
- Department of Preventive Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Jim van Os
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience. King's College of London, London, UK
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department Psychiatry, Brain Centre Rudolf Magnus, Utrecht University Medical Centre, Utrecht, The Netherlands
| | - Diego Quattrone
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Bart P Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jose Luis Santos
- Department of Psychiatry, Servicio de Psiquiatría Hos"ital "Virgen de"a Luz", C/Hermandad de Donantes de Sangre, 16002, Cuenca, Spain
| | - Julio Sanjuán
- Department of Psychiatry, School of Medicine, Universidad de Valencia, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), C/Avda. Blasco Ibáñez 15, 46010, Valencia, Spain
| | - Jean-Paul Selten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, Maastricht, The Netherlands
- Rivierduinen Institute for Mental Health Care, Leiden, The Netherlands
| | - Andrei Szöke
- University of Paris Est Creteil, INSERM, IMRB, AP-HP, Hôpitaux Universitaires, H. Mondor, DMU IMPACT, Creteil, France
| | - Ilaria Tarricone
- Bologna Transcultural Psychosomatic Team (BoTPT), Department of Medical and Surgical Science, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | | | - Eva Velthorst
- GGZ (Mental Health Services) Noord Holland Noord, Heerhugowaard, the Netherlands
| | - Craig Morgan
- ESRC Centre for Society and Mental Health, King's College London, London, UK
| | - Emma Dempster
- Department of Psychiatry, Center for Psychiatric Neuroscience, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Eilis Hannon
- Department of Psychiatry, Center for Psychiatric Neuroscience, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Joe Burrage
- Department of Psychiatry, Center for Psychiatric Neuroscience, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Daniella Dwir
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Atheeshaan Arumuham
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience. King's College of London, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
- Institute of Clinical Sciences (ICS), Faculty of Medicine, Imperial College London, London, UK
| | - Jonathan Mill
- Department of Psychiatry, Center for Psychiatric Neuroscience, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Robin M Murray
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience. King's College of London, London, UK
| | - Chloe C Y Wong
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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10
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Hu J, Xu X, Li J, Jiang Y, Hong X, Rexrode KM, Wang G, Hu FB, Zhang H, Karmaus WJ, Wang X, Liang L. Sex differences in the intergenerational link between maternal and neonatal whole blood DNA methylation: a genome-wide analysis in 2 birth cohorts. Clin Epigenetics 2023; 15:51. [PMID: 36966332 PMCID: PMC10040137 DOI: 10.1186/s13148-023-01442-8] [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: 03/02/2022] [Accepted: 02/06/2023] [Indexed: 03/27/2023] Open
Abstract
BACKGROUND The mother-child inheritance of DNA methylation (DNAm) variations could contribute to the inheritance of disease susceptibility across generations. However, no study has investigated patterns of mother-child associations in DNAm at the genome-wide scale. It remains unknown whether there are sex differences in mother-child DNAm associations. RESULTS Using genome-wide DNAm profiling data (721,331 DNAm sites, including 704,552 on autosomes and 16,779 on the X chromosome) of 396 mother-newborn pairs (54.5% male) from the Boston Birth Cohort, we found significant sex differences in mother-newborn correlations in genome-wide DNAm patterns (Spearman's rho = 0.91-0.98; p = 4.0 × 10-8), with female newborns having stronger correlations. Sex differences in correlations were attenuated but remained significant after excluding X-chromosomal DNAm sites (Spearman's rho = 0.91-0.98; p = 0.035). Moreover, 89,267 DNAm sites (12.4% of all analyzed, including 88,051 [12.5% of analyzed] autosomal and 1,216 [7.2% of analyzed] X-chromosomal sites) showed significant mother-newborn associations in methylation levels, and the top autosomal DNAm sites had high heritability than the genome-wide background (e.g., the top 100 autosomal DNAm sites had a medium h2 of 0.92). Additionally, significant interactions between newborn sex and methylation levels were observed for 11 X-chromosomal and 4 autosomal DNAm sites that were mapped to genes that have been associated with sex-specific disease/traits or early development (e.g., EFHC2, NXY, ADCYAP1R1, and BMP4). Finally, 18,769 DNAm sites (14,482 [77.2%] on the X chromosome) showed mother-newborn differences in methylation levels that were significantly associated with newborn sex, and the top autosomal DNAm sites had relatively small heritability (e.g., the top 100 autosomal DNAm sites had a medium h2 of 0.23). These DNAm sites were mapped to 2,532 autosomal genes and 978 X-chromosomal genes with significant enrichment in pathways involved in neurodegenerative and psychological diseases, development, neurophysiological process, immune response, and sex-specific cancers. Replication analysis in the Isle of Wight birth cohort yielded consistent results. CONCLUSION In two independent birth cohorts, we demonstrated strong mother-newborn correlations in whole blood DNAm on both autosomes and ChrX, and such correlations vary substantially by sex. Future studies are needed to examine to what extent our findings contribute to developmental origins of pediatric and adult diseases with well-observed sex differences.
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Affiliation(s)
- Jie Hu
- Division of Women's Health, Department of Medicine, Bigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 207, Boston, MA, 02115, USA
| | - Xin Xu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 207, Boston, MA, 02115, USA
| | - Jun Li
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 207, Boston, MA, 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yu Jiang
- Division of Epidemiology, Biostatistics, & Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Xiumei Hong
- Center On the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kathryn M Rexrode
- Division of Women's Health, Department of Medicine, Bigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Guoying Wang
- Center On the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Frank B Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 207, Boston, MA, 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, & Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Wilfried J Karmaus
- Division of Epidemiology, Biostatistics, & Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Xiaobin Wang
- Center On the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, Room 207, Boston, MA, 02115, USA.
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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11
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Silveira PP, Meaney MJ. Examining the biological mechanisms of human mental disorders resulting from gene-environment interdependence using novel functional genomic approaches. Neurobiol Dis 2023; 178:106008. [PMID: 36690304 DOI: 10.1016/j.nbd.2023.106008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 12/30/2022] [Accepted: 01/18/2023] [Indexed: 01/21/2023] Open
Abstract
We explore how functional genomics approaches that integrate datasets from human and non-human model systems can improve our understanding of the effect of gene-environment interplay on the risk for mental disorders. We start by briefly defining the G-E paradigm and its challenges and then discuss the different levels of regulation of gene expression and the corresponding data existing in humans (genome wide genotyping, transcriptomics, DNA methylation, chromatin modifications, chromosome conformational changes, non-coding RNAs, proteomics and metabolomics), discussing novel approaches to the application of these data in the study of the origins of mental health. Finally, we discuss the multilevel integration of diverse types of data. Advance in the use of functional genomics in the context of a G-E perspective improves the detection of vulnerabilities, informing the development of preventive and therapeutic interventions.
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Affiliation(s)
- Patrícia Pelufo Silveira
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
| | - Michael J Meaney
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada; Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore; Brain - Body Initiative, Agency for Science, Technology and Research (ASTAR), Singapore.
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12
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Urabe A, Chi S, Minami Y. The Immuno-Oncology and Genomic Aspects of DNA-Hypomethylating Therapeutics in Acute Myeloid Leukemia. Int J Mol Sci 2023; 24:ijms24043727. [PMID: 36835136 PMCID: PMC9961620 DOI: 10.3390/ijms24043727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 01/30/2023] [Accepted: 02/09/2023] [Indexed: 02/15/2023] Open
Abstract
Hypomethylating agents (HMAs) have been used for decades in the treatment of hematologic neoplasms, and now, have gathered attention again in terms of their combination with potent molecular-targeted agents such as a BCL-6 inhibitor venetoclax and an IDH1 inhibitor ivosidenib, as well as a novel immune-checkpoint inhibitor (anit-CD47 antibody) megrolimab. Several studies have shown that leukemic cells have a distinct immunological microenvironment, which is at least partially due to genetic alterations such as the TP53 mutation and epigenetic dysregulation. HMAs possibly improve intrinsic anti-leukemic immunity and sensitivity to immune therapies such as PD-1/PD-L1 inhibitors and anti-CD47 agents. This review describes the immuno-oncological backgrounds of the leukemic microenvironment and the therapeutic mechanisms of HMAs, as well as current clinical trials of HMAs and/or venetoclax-based combination therapies.
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Affiliation(s)
| | | | - Yosuke Minami
- Correspondence: ; Tel.: +81-4-7133-1111; Fax: +81-7133-6502
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13
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Sammallahti S, Koopman-Verhoeff ME, Binter AC, Mulder RH, Cabré-Riera A, Kvist T, Malmberg ALK, Pesce G, Plancoulaine S, Heiss JA, Rifas-Shiman SL, Röder SW, Starling AP, Wilson R, Guerlich K, Haftorn KL, Page CM, Luik AI, Tiemeier H, Felix JF, Raikkonen K, Lahti J, Relton CL, Sharp GC, Waldenberger M, Grote V, Heude B, Annesi-Maesano I, Hivert MF, Zenclussen AC, Herberth G, Dabelea D, Grazuleviciene R, Vafeiadi M, Håberg SE, London SJ, Guxens M, Richmond RC, Cecil CAM. Longitudinal associations of DNA methylation and sleep in children: a meta-analysis. Clin Epigenetics 2022; 14:83. [PMID: 35790973 PMCID: PMC9258202 DOI: 10.1186/s13148-022-01298-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 06/04/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Sleep is important for healthy functioning in children. Numerous genetic and environmental factors, from conception onwards, may influence this phenotype. Epigenetic mechanisms such as DNA methylation have been proposed to underlie variation in sleep or may be an early-life marker of sleep disturbances. We examined if DNA methylation at birth or in school age is associated with parent-reported and actigraphy-estimated sleep outcomes in children. METHODS We meta-analysed epigenome-wide association study results. DNA methylation was measured from cord blood at birth in 11 cohorts and from peripheral blood in children (4-13 years) in 8 cohorts. Outcomes included parent-reported sleep duration, sleep initiation and fragmentation problems, and actigraphy-estimated sleep duration, sleep onset latency and wake-after-sleep-onset duration. RESULTS We found no associations between DNA methylation at birth and parent-reported sleep duration (n = 3658), initiation problems (n = 2504), or fragmentation (n = 1681) (p values above cut-off 4.0 × 10-8). Lower methylation at cg24815001 and cg02753354 at birth was associated with longer actigraphy-estimated sleep duration (p = 3.31 × 10-8, n = 577) and sleep onset latency (p = 8.8 × 10-9, n = 580), respectively. DNA methylation in childhood was not cross-sectionally associated with any sleep outcomes (n = 716-2539). CONCLUSION DNA methylation, at birth or in childhood, was not associated with parent-reported sleep. Associations observed with objectively measured sleep outcomes could be studied further if additional data sets become available.
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Affiliation(s)
- Sara Sammallahti
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.7737.40000 0004 0410 2071Department of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - M. Elisabeth Koopman-Verhoeff
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XGeneration R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5132.50000 0001 2312 1970Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands
| | - Anne-Claire Binter
- Barcelona Institute for Global Health, ISGlobal, Campus Mar, Doctor Aiguader, 88, 08003, Barcelona, Spain. .,Universitat Pompeu Fabra, Barcelona, Spain. .,Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Rosa H. Mulder
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XGeneration R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Alba Cabré-Riera
- grid.434607.20000 0004 1763 3517Barcelona Institute for Global Health, ISGlobal, Campus Mar, Doctor Aiguader, 88, 08003 Barcelona, Spain ,grid.5612.00000 0001 2172 2676Universitat Pompeu Fabra, Barcelona, Spain ,grid.413448.e0000 0000 9314 1427Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Tuomas Kvist
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Anni L. K. Malmberg
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Giancarlo Pesce
- grid.462844.80000 0001 2308 1657INSERM UMR-S 1136, Team of Epidemiology of Allergic and Respiratory Diseases (EPAR), Institute Pierre Louis of Epidemiology and Public Health (IPLESP), Sorbonne University, Paris, France
| | - Sabine Plancoulaine
- grid.508487.60000 0004 7885 7602CRESS, Inserm, INRAE, Université de Paris Cité, Paris, France
| | - Jonathan A. Heiss
- grid.59734.3c0000 0001 0670 2351Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Sheryl L. Rifas-Shiman
- grid.67104.340000 0004 0415 0102Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA USA
| | - Stefan W. Röder
- grid.7492.80000 0004 0492 3830Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Anne P. Starling
- grid.430503.10000 0001 0703 675XDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA ,grid.430503.10000 0001 0703 675XCenter for Lifecourse Epidemiology of Adiposity and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO USA ,grid.10698.360000000122483208Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Rory Wilson
- grid.4567.00000 0004 0483 2525Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria Germany
| | - Kathrin Guerlich
- grid.411095.80000 0004 0477 2585Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. Von Hauner Children’s Hospital, LMU University Hospital Munich, Munich, Germany
| | - Kristine L. Haftorn
- grid.418193.60000 0001 1541 4204Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway ,grid.418193.60000 0001 1541 4204Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway ,grid.5510.10000 0004 1936 8921Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Christian M. Page
- grid.418193.60000 0001 1541 4204Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway ,grid.5510.10000 0004 1936 8921Department of Mathematics, University of Oslo, Oslo, Norway
| | - Annemarie I. Luik
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Henning Tiemeier
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XGeneration R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.38142.3c000000041936754XDepartment of Social and Behavioral Science, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Janine F. Felix
- grid.5645.2000000040459992XGeneration R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XDepartment of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Katri Raikkonen
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Jari Lahti
- grid.7737.40000 0004 0410 2071Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Caroline L. Relton
- grid.5337.20000 0004 1936 7603MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK ,grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Gemma C. Sharp
- grid.5337.20000 0004 1936 7603MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK ,grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Melanie Waldenberger
- grid.4567.00000 0004 0483 2525Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Bavaria Germany
| | - Veit Grote
- grid.411095.80000 0004 0477 2585Division of Metabolic and Nutritional Medicine, Department of Pediatrics, Dr. Von Hauner Children’s Hospital, LMU University Hospital Munich, Munich, Germany
| | - Barbara Heude
- grid.508487.60000 0004 7885 7602CRESS, Inserm, INRAE, Université de Paris Cité, Paris, France
| | - Isabella Annesi-Maesano
- grid.121334.60000 0001 2097 0141IDESP, University of Montpellier and INSERM, Montpellier, France
| | - Marie-France Hivert
- grid.67104.340000 0004 0415 0102Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA USA
| | - Ana C. Zenclussen
- grid.7492.80000 0004 0492 3830Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany ,grid.9647.c0000 0004 7669 9786Perinatal Immunology Group, Saxonian Incubator for Clinical Translation - SIKT, Leipzig University, Leipzig, Germany
| | - Gunda Herberth
- grid.7492.80000 0004 0492 3830Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Dana Dabelea
- grid.430503.10000 0001 0703 675XDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA ,grid.430503.10000 0001 0703 675XCenter for Lifecourse Epidemiology of Adiposity and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO USA ,grid.430503.10000 0001 0703 675XDepartment of Pediatrics, University of Colorado School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Regina Grazuleviciene
- grid.19190.300000 0001 2325 0545Department of Environmental Science, Vytautas Magnus University, Kaunas, Lithuania
| | - Marina Vafeiadi
- grid.8127.c0000 0004 0576 3437Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete Greece
| | - Siri E. Håberg
- grid.418193.60000 0001 1541 4204Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Stephanie J. London
- grid.280664.e0000 0001 2110 5790Epidemiology Branch, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC USA
| | - Mònica Guxens
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.434607.20000 0004 1763 3517Barcelona Institute for Global Health, ISGlobal, Campus Mar, Doctor Aiguader, 88, 08003 Barcelona, Spain ,grid.5612.00000 0001 2172 2676Universitat Pompeu Fabra, Barcelona, Spain ,grid.413448.e0000 0000 9314 1427Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Rebecca C. Richmond
- grid.5337.20000 0004 1936 7603MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK ,grid.5337.20000 0004 1936 7603Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Charlotte A. M. Cecil
- grid.5645.2000000040459992XDepartment of Adolescent and Child Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XGeneration R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.5645.2000000040459992XDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands ,grid.10419.3d0000000089452978Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands ,grid.13097.3c0000 0001 2322 6764Department of Psychology, Institute of Psychology, Psychiatry and Neuroscience, King’s College London, London, UK
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14
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Czamara D, Neufang A, Dieterle R, Iurato S, Arloth J, Martins J, Ising M, Binder EE, Erhardt A. Effects of stressful life-events on DNA methylation in panic disorder and major depressive disorder. Clin Epigenetics 2022; 14:55. [PMID: 35477560 PMCID: PMC9047302 DOI: 10.1186/s13148-022-01274-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/07/2022] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Panic disorder (PD) is characterized by recurrent panic attacks and higher affection of women as compared to men. The lifetime prevalence of PD is about 2-3% in the general population leading to tremendous distress and disability. Etiologically, genetic and environmental factors, such as stress, contribute to the onset and relapse of PD. In the present study, we investigated epigenome-wide DNA methylation (DNAm) in respond to a cumulative, stress-weighted life events score (wLE) in patients with PD and its boundary to major depressive disorder (MDD), frequently co-occurring with symptoms of PD. METHODS DNAm was assessed by the Illumina HumanMethylation450 BeadChip. In a meta-analytic approach, epigenome-wide DNAm changes in association with wLE were first analyzed in two PD cohorts (with a total sample size of 183 PD patients and 85 healthy controls) and lastly in 102 patients with MDD to identify possible overlapping and opposing effects of wLE on DNAm. Additionally, analysis of differentially methylated regions (DMRs) was conducted to identify regional clusters of association. RESULTS Two CpG-sites presented with p-values below 1 × 10-05 in PD: cg09738429 (p = 6.40 × 10-06, located in an intergenic shore region in next proximity of PYROXD1) and cg03341655 (p = 8.14 × 10-06, located in the exonic region of GFOD2). The association of DNAm at cg03341655 and wLE could be replicated in the independent MDD case sample indicating a diagnosis independent effect. Genes mapping to the top hits were significantly upregulated in brain and top hits have been implicated in the metabolic system. Additionally, two significant DMRs were identified for PD only on chromosome 10 and 18, including CpG-sites which have been reported to be associated with anxiety and other psychiatric phenotypes. CONCLUSION This first DNAm analysis in PD reveals first evidence of small but significant DNAm changes in PD in association with cumulative stress-weighted life events. Most of the top associated CpG-sites are located in genes implicated in metabolic processes supporting the hypothesis that environmental stress contributes to health damaging changes by affecting a broad spectrum of systems in the body.
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Affiliation(s)
- Darina Czamara
- Translational Department, Max Planck Institute for Psychiatry, Kraepelinstrasse 2+10, 80804, Munich, Germany.
| | - Alexa Neufang
- Institute of Statistics, Faculty of Mathematics, Informatics and Statistics, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Roman Dieterle
- Institute of Statistics, Faculty of Mathematics, Informatics and Statistics, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Stella Iurato
- Translational Department, Max Planck Institute for Psychiatry, Kraepelinstrasse 2+10, 80804, Munich, Germany
| | - Janine Arloth
- Translational Department, Max Planck Institute for Psychiatry, Kraepelinstrasse 2+10, 80804, Munich, Germany
| | - Jade Martins
- Translational Department, Max Planck Institute for Psychiatry, Kraepelinstrasse 2+10, 80804, Munich, Germany
| | - Marcus Ising
- Translational Department, Max Planck Institute for Psychiatry, Kraepelinstrasse 2+10, 80804, Munich, Germany
| | - Elisabeth E Binder
- Translational Department, Max Planck Institute for Psychiatry, Kraepelinstrasse 2+10, 80804, Munich, Germany.,Department of Psychiatry and Behavioral Sciences, School of Medicine, Emory University, Atlanta, GA, USA
| | - Angelika Erhardt
- Translational Department, Max Planck Institute for Psychiatry, Kraepelinstrasse 2+10, 80804, Munich, Germany.,Department of Psychiatry, Psychosomatics and Psychotherapy, Centre of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
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15
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Caramaschi D, Neumann A, Cardenas A, Tindula G, Alemany S, Zillich L, Pesce G, Lahti JMT, Havdahl A, Mulder R, Felix JF, Tiemeier H, Sirignano L, Frank J, Witt SH, Rietschel M, Deuschle M, Huen K, Eskenazi B, Send TS, Ferrer M, Gilles M, de Agostini M, Baïz N, Rifas-Shiman SL, Kvist T, Czamara D, Tuominen ST, Relton CL, Rai D, London SJ, Räikkönen K, Holland N, Annesi-Maesano I, Streit F, Hivert MF, Oken E, Sunyer J, Cecil CAM, Sharp G. Meta-analysis of epigenome-wide associations between DNA methylation at birth and childhood cognitive skills. Mol Psychiatry 2022; 27:2126-2135. [PMID: 35145228 PMCID: PMC9126809 DOI: 10.1038/s41380-022-01441-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 01/11/2022] [Indexed: 12/21/2022]
Abstract
Cognitive skills are a strong predictor of a wide range of later life outcomes. Genetic and epigenetic associations across the genome explain some of the variation in general cognitive abilities in the general population and it is plausible that epigenetic associations might arise from prenatal environmental exposures and/or genetic variation early in life. We investigated the association between cord blood DNA methylation at birth and cognitive skills assessed in children from eight pregnancy cohorts within the Pregnancy And Childhood Epigenetics (PACE) Consortium across overall (total N = 2196), verbal (total N = 2206) and non-verbal cognitive scores (total N = 3300). The associations at single CpG sites were weak for all of the cognitive domains investigated. One region near DUSP22 on chromosome 6 was associated with non-verbal cognition in a model adjusted for maternal IQ. We conclude that there is little evidence to support the idea that variation in cord blood DNA methylation at single CpG sites is associated with cognitive skills and further studies are needed to confirm the association at DUSP22.
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Affiliation(s)
- Doretta Caramaschi
- Medical Research Council Integrative Epidemiology Unit (MRC IEU), Bristol Medical School, Population Health Science, University of Bristol, Bristol, UK.
- Department of Psychology, College of Life and Environmental Sciences, University of Exeter, Exeter, UK.
| | - Alexander Neumann
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Gwen Tindula
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Silvia Alemany
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Giancarlo Pesce
- Epidemiology of Allergic and Respiratory Diseases Team (EPAR), Institute Pierre Louis of Epidemiology and Public Health, UMR-S 1136 INSERM and Sorbonne Université, Paris, France
| | - Jari M T Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Alexandra Havdahl
- Medical Research Council Integrative Epidemiology Unit (MRC IEU), Bristol Medical School, Population Health Science, University of Bristol, Bristol, UK
- Department of Mental Disorders, Norwegian Institute of Public Health and Nic Waals Institute of Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Rosa Mulder
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Michael Deuschle
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Karen Huen
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Brenda Eskenazi
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California, Berkeley, CA, USA
| | - Tabea Sarah Send
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Muriel Ferrer
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
| | - Maria Gilles
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Maria de Agostini
- Inserm, Centre for Research in Epidemiology and StatisticS (CRESS), Research Team on Early Life Origins of Health (EAROH), Villejuif, France
| | - Nour Baïz
- Epidemiology of Allergic and Respiratory Diseases Team (EPAR), Institute Pierre Louis of Epidemiology and Public Health, UMR-S 1136 INSERM and Sorbonne Université, Paris, France
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Tuomas Kvist
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Samuli T Tuominen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Caroline L Relton
- Medical Research Council Integrative Epidemiology Unit (MRC IEU), Bristol Medical School, Population Health Science, University of Bristol, Bristol, UK
| | - Dheeraj Rai
- Medical Research Council Integrative Epidemiology Unit (MRC IEU), Bristol Medical School, Population Health Science, University of Bristol, Bristol, UK
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Nina Holland
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Isabella Annesi-Maesano
- Epidemiology of Allergic and Respiratory Diseases Team (EPAR), Institute Pierre Louis of Epidemiology and Public Health, UMR-S 1136 INSERM and Sorbonne Université, Paris, France
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Jordi Sunyer
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Gemma Sharp
- Medical Research Council Integrative Epidemiology Unit (MRC IEU), Bristol Medical School, Population Health Science, University of Bristol, Bristol, UK
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16
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Polinski KJ, Putnick DL, Robinson SL, Schliep KC, Silver RM, Guan W, Schisterman EF, Mumford SL, Yeung EH. Periconception and Prenatal Exposure to Maternal Perceived Stress and Cord Blood DNA Methylation. Epigenet Insights 2022; 15:25168657221082045. [PMID: 35237744 PMCID: PMC8882928 DOI: 10.1177/25168657221082045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 01/23/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Maternal prenatal stress is associated with physiologic and adverse mental health outcomes in the offspring, but the underlying biologic mechanisms are unknown. We examined the associations of maternal perceived stress, including preconception exposure, with DNA methylation (DNAm) alterations in the cord blood buffy coats of 358 singleton infants. METHODS Maternal perceived stress was measured prior to and throughout pregnancy in a cohort of women enrolled in Effects of Aspirin in Gestation and Reproduction Trial (EAGeR) trial. Perceived stress assessments based on a standardized Likert-scale were obtained in periconception (~2 months preconception and 2-8 weeks of gestation) and pregnancy (8-36 weeks of gestation). Cumulative perceived stress was estimated by calculating the predicted area under the curve of stress reported prior to and during pregnancy. DNAm was measured by the Infinium MethylationEPIC BeadChip. Multivariable robust linear regression was used to assess associations of perceived stress with individual CpG probes. RESULTS Based on a 0 to 3 scale, average reported preconception and early pregnancy stress were 0.76 (0.60) and 0.67 (0.50), respectively. Average mid- to late-pregnancy stress, based on a 0 to 10 scale, was 4.9 (1.6). Neither periconception nor pregnancy perceived stress were associated with individual CpG sites in neonatal cord blood (all false discovery rate [FDR] >5%). CONCLUSION No effects of maternal perceived stress exposure on array-wide cord blood neonatal methylation differences were found.
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Affiliation(s)
- Kristen J Polinski
- Division of Population Health Research,
Eunice Kennedy Shriver National Institute of Child Health and
Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Diane L Putnick
- Division of Population Health Research,
Eunice Kennedy Shriver National Institute of Child Health and
Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Sonia L Robinson
- Division of Population Health Research,
Eunice Kennedy Shriver National Institute of Child Health and
Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Karen C Schliep
- Department of Family and Preventive
Medicine, University of Utah, Salt Lake City, UT, USA
| | - Robert M Silver
- Department of Family and Preventive
Medicine, University of Utah, Salt Lake City, UT, USA
| | - Weihua Guan
- Division of Biostatistics, University
of Minnesota, Minneapolis, MN, USA
| | - Enrique F Schisterman
- Department of Biostatistics,
Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA,
USA
| | - Sunni L Mumford
- Department of Biostatistics,
Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA,
USA
| | - Edwina H Yeung
- Division of Population Health Research,
Eunice Kennedy Shriver National Institute of Child Health and
Human Development, National Institutes of Health, Bethesda, MD, USA,Edwina H Yeung, Epidemiology Branch,
Division of Population Health Research, Division of Intramural Research,
Eunice Kennedy Shriver National Institute of Child Health
and Human Development, National Institutes of Health, 6710B Rockledge Dr, MSC
7004, Bethesda, MD 20817, USA.
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17
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Wang C, Sun Y, Yin X, Feng R, Feng R, Xu M, Liang K, Zhao R, Gu G, Jiang X, Su P, Zhang X, Liu J. Alterations of DNA methylation were associated with the rapid growth of cortisol-producing adrenocortical adenoma during pregnancy. Clin Epigenetics 2021; 13:213. [PMID: 34863285 PMCID: PMC8642905 DOI: 10.1186/s13148-021-01205-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/26/2021] [Indexed: 02/04/2023] Open
Abstract
Background Cortisol-producing adrenocortical adenoma (CPA) during pregnancy rarely occurs in clinic. Growing evidence suggests that DNA methylation plays a key role in adrenocortical adenomas. The present study aims to examine the genome-wide DNA methylation profiles and identify the differences in DNA methylation signatures of non-pregnant and pregnant patients with CPA. Results Four pregnant and twelve non-pregnant patients with CPA were enrolled. The pregnant patients with CPA had higher serum cortisol, Estradiol, Progesterone, and human chorionic gonadotropin concentration, while having lower serum FSH (follicle-stimulating hormone) and luteinizing hormone concentrations (P < 0.01). Compared with the non-pregnant patients, the duration is shorter, and the growth rate of the tumor is faster in pregnant patients with CPA (P < 0.05). Morphology and cell proliferation assay showed that the percentage of Ki-67 positive cells in CPA were higher in pregnant group than non-pregnant group (8.0% vs 5.5%, P < 0.05). The DNA methylation analysis showed that Genome-wide DNA methylation signature difference between pregnant and non-pregnant with CPA, that the pregnant group had more hypermethylated DMPs (67.94% vs 22.16%) and less hypomethylated DMPs (32.93% vs 77.84%). The proportion of hypermethylated DMPs was relatively high on chromosomes 1 (9.68% vs 8.67%) and X (4.99% vs 3.35%) but lower on chromosome 2(7.98% vs 12.92%). In pregnant patients with CPA, 576 hypomethylated DMPs and 1109 hypermethylated DMPs were identified in the DNA promoter region. Bioinformatics analysis indicated that the Wnt/β-Catenin pathway, Ras/MAPK Pathway and PI3K-AKT Pathway were associated with the development of CPA during pregnancy. Conclusions Genome-wide DNA methylation profiling of CPA in non-pregnant and pregnant patients was identified in the present study. Alterations of DNA methylation were associated with the pathogenesis and exacerbation of CPA during pregnancy. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-021-01205-3.
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Affiliation(s)
- Chuan Wang
- Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China.,Institute of Endocrine and Metabolic Diseases, Shandong University, Jinan, 250012, Shandong Province, People's Republic of China.,Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, 250012, Shandong Province, People's Republic of China
| | - Yujing Sun
- Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China.,Institute of Endocrine and Metabolic Diseases, Shandong University, Jinan, 250012, Shandong Province, People's Republic of China.,Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, 250012, Shandong Province, People's Republic of China
| | - Xiaofei Yin
- Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China.,Institute of Endocrine and Metabolic Diseases, Shandong University, Jinan, 250012, Shandong Province, People's Republic of China.,Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, 250012, Shandong Province, People's Republic of China
| | - Ruoqi Feng
- Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China.,Institute of Endocrine and Metabolic Diseases, Shandong University, Jinan, 250012, Shandong Province, People's Republic of China.,Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, 250012, Shandong Province, People's Republic of China
| | - Ruiying Feng
- Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China.,Institute of Endocrine and Metabolic Diseases, Shandong University, Jinan, 250012, Shandong Province, People's Republic of China.,Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, 250012, Shandong Province, People's Republic of China
| | - Mingyue Xu
- Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China.,Institute of Endocrine and Metabolic Diseases, Shandong University, Jinan, 250012, Shandong Province, People's Republic of China.,Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, 250012, Shandong Province, People's Republic of China
| | - Kai Liang
- Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China.,Institute of Endocrine and Metabolic Diseases, Shandong University, Jinan, 250012, Shandong Province, People's Republic of China.,Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, 250012, Shandong Province, People's Republic of China
| | - Ruxing Zhao
- Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China.,Institute of Endocrine and Metabolic Diseases, Shandong University, Jinan, 250012, Shandong Province, People's Republic of China.,Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, 250012, Shandong Province, People's Republic of China
| | - Gangli Gu
- Department of Urology, Qilu Hospital of Shandong University, Jinan, 250012, People's Republic of China
| | - Xuewen Jiang
- Department of Urology, Qilu Hospital of Shandong University, Jinan, 250012, People's Republic of China
| | - Peng Su
- Department of Pathology, Qilu Hospital of Shandong University, Jinan, 250012, People's Republic of China
| | - Xiaofang Zhang
- Department of Pathology, Qilu Hospital of Shandong University, Jinan, 250012, People's Republic of China
| | - Jinbo Liu
- Department of Endocrinology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, People's Republic of China. .,Institute of Endocrine and Metabolic Diseases, Shandong University, Jinan, 250012, Shandong Province, People's Republic of China. .,Jinan Clinical Research Center for Endocrine and Metabolic Diseases, Jinan, 250012, Shandong Province, People's Republic of China.
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18
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Ding J, Blencowe M, Nghiem T, Ha SM, Chen YW, Li G, Yang X. Mergeomics 2.0: a web server for multi-omics data integration to elucidate disease networks and predict therapeutics. Nucleic Acids Res 2021; 49:W375-W387. [PMID: 34048577 PMCID: PMC8262738 DOI: 10.1093/nar/gkab405] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 04/28/2021] [Accepted: 05/02/2021] [Indexed: 12/13/2022] Open
Abstract
The Mergeomics web server is a flexible online tool for multi-omics data integration to derive biological pathways, networks, and key drivers important to disease pathogenesis and is based on the open source Mergeomics R package. The web server takes summary statistics of multi-omics disease association studies (GWAS, EWAS, TWAS, PWAS, etc.) as input and features four functions: Marker Dependency Filtering (MDF) to correct for known dependency between omics markers, Marker Set Enrichment Analysis (MSEA) to detect disease relevant biological processes, Meta-MSEA to examine the consistency of biological processes informed by various omics datasets, and Key Driver Analysis (KDA) to identify essential regulators of disease-associated pathways and networks. The web server has been extensively updated and streamlined in version 2.0 including an overhauled user interface, improved tutorials and results interpretation for each analytical step, inclusion of numerous disease GWAS, functional genomics datasets, and molecular networks to allow for comprehensive omics integrations, increased functionality to decrease user workload, and increased flexibility to cater to user-specific needs. Finally, we have incorporated our newly developed drug repositioning pipeline PharmOmics for prediction of potential drugs targeting disease processes that were identified by Mergeomics. Mergeomics is freely accessible at http://mergeomics.research.idre.ucla.edu and does not require login.
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Affiliation(s)
- Jessica Ding
- Department of Integrative Biology and Physiology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
- Interdepartmental Program of Molecular, Cellular and Integrative Physiology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
| | - Montgomery Blencowe
- Department of Integrative Biology and Physiology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
- Interdepartmental Program of Molecular, Cellular and Integrative Physiology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
| | - Thien Nghiem
- Department of Integrative Biology and Physiology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
| | - Sung-min Ha
- Department of Integrative Biology and Physiology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
| | - Yen-Wei Chen
- Department of Integrative Biology and Physiology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
- Interdepartmental Program of Molecular Toxicology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
| | - Gaoyan Li
- Department of Integrative Biology and Physiology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
- Interdepartmental Program of Molecular, Cellular and Integrative Physiology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
| | - Xia Yang
- Department of Integrative Biology and Physiology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
- Interdepartmental Program of Molecular, Cellular and Integrative Physiology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
- Interdepartmental Program of Molecular Toxicology, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
- Interdepartmental Program of Bioinformatics, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
- Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, 610 Charles E. Young Drive East, Los Angeles, CA 90095, USA
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