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Fitzgerald E, Pokhvisneva I, Patel S, Yu Chan S, Peng Tan A, Chen H, Pelufo Silveira P, Meaney MJ. Microglial function interacts with the environment to affect sex-specific depression risk. Brain Behav Immun 2024; 119:597-606. [PMID: 38670238 DOI: 10.1016/j.bbi.2024.04.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 04/02/2024] [Accepted: 04/22/2024] [Indexed: 04/28/2024] Open
Abstract
There is a two-fold higher incidence of depression in females compared to men with recent studies suggesting a role for microglia in conferring this sex-dependent depression risk. In this study we investigated the nature of this relation. Using GWAS enrichment, gene-set enrichment analysis and Mendelian randomization, we found minimal evidence for a direct relation between genes functionally related to microglia and sex-dependent genetic risk for depression. We then used expression quantitative trait loci and single nucleus RNA-sequencing resources to generate polygenic scores (PGS) representative of individual variation in microglial function in the adult (UK Biobank; N = 54753-72682) and fetal (ALSPAC; N = 1452) periods. The adult microglial PGS moderated the association between BMI (UK Biobank; beta = 0.001, 95 %CI 0.0009 to 0.003, P = 7.74E-6) and financial insecurity (UK Biobank; beta = 0.001, 95 %CI 0.005 to 0.015, P = 2E-4) with depressive symptoms in females. The fetal microglia PGS moderated the association between maternal prenatal depressive symptoms and offspring depressive symptoms at 24 years in females (ALSPAC; beta = 0.04, 95 %CI 0.004 to 0.07, P = 0.03). We found no evidence for an interaction between the microglial PGS and depression risk factors in males. Our results illustrate a role for microglial function in the conferral of sex-dependent depression risk following exposure to a depression risk factor.
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Affiliation(s)
- Eamon Fitzgerald
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Canada; Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Canada.
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Canada
| | - Sachin Patel
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Canada
| | - Shi Yu Chan
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore
| | - Ai Peng Tan
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Diagnostic Imaging, National University Health System, Singapore; Brain - Body Initiative, Agency for Science, Technology & Research (A*STAR), Singapore
| | - Helen Chen
- Department of Psychological Medicine, KK Women's and Children's Hospital, Singapore; Duke-National University of Singapore, Singapore
| | - Patricia Pelufo Silveira
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Canada; Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Canada; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Michael J Meaney
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Canada; Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Brain - Body Initiative, Agency for Science, Technology & Research (A*STAR), Singapore.
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Hershon M, Kiafar A, Laganière C, Pokhvisneva I, Gaudreau H, Pennestri MH. To sleep or to breastfeed: Associations between feeding method and sleep in infants and children. Acta Paediatr 2024. [PMID: 38597251 DOI: 10.1111/apa.17237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 03/26/2024] [Accepted: 04/02/2024] [Indexed: 04/11/2024]
Abstract
AIM This study aimed to understand the association between feeding method, specifically breastfeeding versus non-breastfeeding, at 6 and 12 months and infant sleep over the first 3 years of life. METHODS A sample of 444 mother-infant dyads from the Maternal Adversity, Vulnerability and Neurodevelopment cohort were analysed. Based on retrospective maternal reports between 3-24 months, infants' breastfeeding status was determined at 6 and 12 months. Nocturnal sleep duration, longest period of consecutive sleep, and total sleep over 24 h were measured by maternal reports at 6, 12, 24 and 36 months. RESULTS Generalized Estimating Equations revealed no significant association between feeding status, both at 6 and 12 months, and nocturnal sleep duration or total sleep over 24 h between 6-36 months (p > 0.05). However, breastfeeding at both 6 and 12 months was associated with shorter periods of consecutive sleep, at 6 and 12 months (p < 0.05) but not at 24 and 36 months (p > 0.05). CONCLUSION Our findings suggest that breastfeeding seems to be associated with more infant sleep fragmentation but not with total sleep duration in early infancy. However, this sleep fragmentation does not persist into later infancy and early toddlerhood.
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Affiliation(s)
- Malka Hershon
- Department of Educational and Counselling Psychology, McGill University, Montreal, Québec, Canada
- Once Upon a Night Sleep Laboratory CIUSSS du Nord-de-l'Ile-de-Montréal, Hôpital en santé mentale Rivière-des-Prairies, Montreal, Québec, Canada
| | - Anita Kiafar
- Department of Educational and Counselling Psychology, McGill University, Montreal, Québec, Canada
- Once Upon a Night Sleep Laboratory CIUSSS du Nord-de-l'Ile-de-Montréal, Hôpital en santé mentale Rivière-des-Prairies, Montreal, Québec, Canada
| | - Christine Laganière
- Department of Educational and Counselling Psychology, McGill University, Montreal, Québec, Canada
- Once Upon a Night Sleep Laboratory CIUSSS du Nord-de-l'Ile-de-Montréal, Hôpital en santé mentale Rivière-des-Prairies, Montreal, Québec, Canada
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, Montreal, Québec, Canada
| | - Hélène Gaudreau
- Once Upon a Night Sleep Laboratory CIUSSS du Nord-de-l'Ile-de-Montréal, Hôpital en santé mentale Rivière-des-Prairies, Montreal, Québec, Canada
| | - Marie-Hélène Pennestri
- Department of Educational and Counselling Psychology, McGill University, Montreal, Québec, Canada
- Once Upon a Night Sleep Laboratory CIUSSS du Nord-de-l'Ile-de-Montréal, Hôpital en santé mentale Rivière-des-Prairies, Montreal, Québec, Canada
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Mucellini AB, Laureano DP, Alves MB, Dalle Molle R, Borges MB, Salvador APDA, Pokhvisneva I, Manfro GG, Silveira PP. The impact of poor fetal growth and chronic hyperpalatable diet exposure in adulthood on hippocampal function and feeding patterns in male rats. Dev Psychobiol 2024; 66:e22459. [PMID: 38372503 DOI: 10.1002/dev.22459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 12/05/2023] [Accepted: 01/02/2024] [Indexed: 02/20/2024]
Abstract
Poor fetal growth affects eating behavior and the mesocorticolimbic system; however, its influence on the hippocampus has been less explored. Brain insulin sensitivity has been linked to developmental plasticity in response to fetal adversity and to cognitive performance following high-fat diet intake. We investigated whether poor fetal growth and exposure to chronic hyperpalatable food in adulthood could influence the recognition of environmental and food cues, eating behavior patterns, and hippocampal insulin signaling. At 60 days of life, we assigned male offspring from a prenatal animal model of 50% food restriction (FR) to receive either a high-fat and -sugar (HFS) diet or standard chow (CON) diet. Behavioral tests were conducted at 140 days, then tissues were collected. HFS groups showed a diminished hippocampal pAkt/Akt ratio. FR-CON and FR-HFS groups had higher levels of suppressor of cytokine signaling 3, compared to control groups. FR groups showed increased exploration of a novel hyperpalatable food, independent of their diet, and HFS groups exhibited overall lower entropy (less random, more predictable eating behavior) when the environment changed. Poor fetal growth and chronic HFS diet in adulthood altered hippocampal insulin signaling and eating patterns, diminishing the flexibility associated with eating behavior in response to extrinsic changes in food availability in the environment.
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Affiliation(s)
- Amanda Brondani Mucellini
- Graduate Program in Psychiatry and Behavioral Sciences, Faculty of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Daniela Pereira Laureano
- Graduate Program in Neuroscience, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Graduate Program in Child and Adolescent Health, Faculty of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Márcio Bonesso Alves
- Graduate Program in Biochemistry, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | - Roberta Dalle Molle
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | - Mariana Balbinot Borges
- Faculty of Biomedicine, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | - Gisele Gus Manfro
- Graduate Program in Psychiatry and Behavioral Sciences, Faculty of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
- Graduate Program in Neuroscience, Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Patrícia Pelufo Silveira
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada
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Pantell MS, Silveira PP, de Mendonça Filho EJ, Wing H, Brown EM, Keeton VF, Pokhvisneva I, O'Donnell KJ, Neuhaus J, Hessler D, Meaney MJ, Adler NE, Gottlieb LM. Associations between Social Adversity and Biomarkers of Inflammation, Stress, and Aging in Children. Pediatr Res 2024:10.1038/s41390-023-02992-6. [PMID: 38233512 DOI: 10.1038/s41390-023-02992-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 10/17/2023] [Accepted: 11/11/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND Prior work has found relationships between childhood social adversity and biomarkers of stress, but knowledge gaps remain. To help address these gaps, we explored associations between social adversity and biomarkers of inflammation (interleukin-1β [IL-1β], IL-6, IL-8, tumor necrosis factor-alpha [TNF-α], and salivary cytokine hierarchical "clusters" based on the three interleukins), neuroendocrine function (cortisol, cortisone, dehydroepiandrosterone, testosterone, and progesterone), neuromodulation (N-arachidonoylethanolamine, stearoylethanolamine, oleoylethanolamide, and palmitoylethanolamide), and epigenetic aging (Pediatric-Buccal-Epigenetic clock). METHODS We collected biomarker samples of children ages 0-17 recruited from an acute care pediatrics clinic and examined their associations with caregiver-endorsed education, income, social risk factors, and cumulative adversity. We calculated regression-adjusted means for each biomarker and compared associations with social factors using Wald tests. We used logistic regression to predict being in the highest cytokine cluster based on social predictors. RESULTS Our final sample included 537 children but varied based on each biomarker. Cumulative social adversity was significantly associated with having higher levels of all inflammatory markers and with cortisol, displaying a U-shaped distribution. There were no significant relationships between cumulative social adversity and cortisone, neuromodulation biomarkers or epigenetic aging. CONCLUSION Our findings support prior work suggesting that social stress exposures contribute to increased inflammation in children. IMPACT Our study is one of the largest studies examining associations between childhood social adversity and biomarkers of inflammation, neuroendocrine function, neuromodulation, and epigenetic aging. It is one of the largest studies to link childhood social adversity to biomarkers of inflammation, and the first of which we are aware to link cumulative social adversity to cytokine clusters. It is also one of the largest studies to examine associations between steroids and epigenetic aging among children, and one of the only studies of which we are aware to examine associations between social adversity and endocannabinoids among children. CLINICAL TRIAL REGISTRATION NCT02746393.
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Affiliation(s)
- Matthew S Pantell
- Division of Pediatric Hospital Medicine, Department of Pediatrics, University of California, San Francisco, CA, USA.
- Center for Health and Community, University of California, San Francisco, San Francisco, CA, USA.
- Social Interventions Research and Evaluation Network, University of California, San Francisco, CA, USA.
| | - Patricia P Silveira
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Euclides José de Mendonça Filho
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Holly Wing
- Center for Health and Community, University of California, San Francisco, San Francisco, CA, USA
- Social Interventions Research and Evaluation Network, University of California, San Francisco, CA, USA
| | | | - Victoria F Keeton
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, 490 Illinois St, Box 2930, 94143, San Francisco, CA, USA
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
| | - Kieran J O'Donnell
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Yale Child Study Center & Department of Obstetrics, Gynecology & Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA
| | - John Neuhaus
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Danielle Hessler
- Social Interventions Research and Evaluation Network, University of California, San Francisco, CA, USA
- Department of Family and Community Medicine, University of California, San Francisco, CA, USA
| | - Michael J Meaney
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Nancy E Adler
- Center for Health and Community, University of California, San Francisco, San Francisco, CA, USA
| | - Laura M Gottlieb
- Center for Health and Community, University of California, San Francisco, San Francisco, CA, USA
- Social Interventions Research and Evaluation Network, University of California, San Francisco, CA, USA
- Department of Family and Community Medicine, University of California, San Francisco, CA, USA
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5
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Arcego DM, Buschdorf JP, O'Toole N, Wang Z, Barth B, Pokhvisneva I, Rayan NA, Patel S, de Mendonça Filho EJ, Lee P, Tan J, Koh MX, Sim CM, Parent C, de Lima RMS, Clappison A, O'Donnell KJ, Dalmaz C, Arloth J, Provençal N, Binder EB, Diorio J, Silveira PP, Meaney MJ. A Glucocorticoid-Sensitive Hippocampal Gene Network Moderates the Impact of Early-Life Adversity on Mental Health Outcomes. Biol Psychiatry 2024; 95:48-61. [PMID: 37406925 DOI: 10.1016/j.biopsych.2023.06.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 04/15/2023] [Accepted: 06/20/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND Early stress increases the risk for psychiatric disorders. Glucocorticoids are stress mediators that regulate transcriptional activity and morphology in the hippocampus, which is implicated in the pathophysiology of multiple psychiatric conditions. We aimed to establish the relevance of hippocampal glucocorticoid-induced transcriptional activity as a mediator of the effects of early life on later psychopathology in humans. METHODS RNA sequencing was performed with anterior and posterior hippocampal dentate gyrus from adult female macaques (n = 12/group) that were chronically treated with betamethasone (glucocorticoid receptor agonist) or vehicle. Coexpression network analysis identified a preserved gene network in the posterior hippocampal dentate gyrus that was strongly associated with glucocorticoid exposure. The single nucleotide polymorphisms in the genes in this network were used to create an expression-based polygenic score in humans. RESULTS The expression-based polygenic score significantly moderated the association between early adversity and psychotic disorders in adulthood (UK Biobank, women, n = 44,519) and on child peer relations (ALSPAC [Avon Longitudinal Study of Parents and Children], girls, n = 1666 for 9-year-olds and n = 1594 for 11-year-olds), an endophenotype for later psychosis. Analyses revealed that this network was enriched for glucocorticoid-induced epigenetic remodeling in human hippocampal cells. We also found a significant association between single nucleotide polymorphisms from the expression-based polygenic score and adult brain gray matter density. CONCLUSIONS We provide an approach for the use of transcriptomic data from animal models together with human data to study the impact of environmental influences on mental health. The results are consistent with the hypothesis that hippocampal glucocorticoid-related transcriptional activity mediates the effects of early adversity on neural mechanisms implicated in psychiatric disorders.
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Affiliation(s)
- Danusa Mar Arcego
- Douglas Research Centre, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada.
| | - Jan-Paul Buschdorf
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore
| | - Nicholas O'Toole
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | - Zihan Wang
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | - Barbara Barth
- Douglas Research Centre, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | | | - Sachin Patel
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | | | - Patrick Lee
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore
| | - Jennifer Tan
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore
| | - Ming Xuan Koh
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore
| | - Chu Ming Sim
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore
| | - Carine Parent
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | | | - Andrew Clappison
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | - Kieran J O'Donnell
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Yale Child Study Center, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Carla Dalmaz
- Department of Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Janine Arloth
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany; Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Nadine Provençal
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada; BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Elisabeth B Binder
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
| | - Josie Diorio
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | - Patrícia Pelufo Silveira
- Douglas Research Centre, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Republic of Singapore
| | - Michael J Meaney
- Douglas Research Centre, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore; Brain Body Initiative, Agency for Science, Technology and Research (A∗STAR), Singapore, Republic of Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Republic of Singapore
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Bischoff AR, Dalle Molle R, Mucellini AB, Pokhvisneva I, Levitan RD, Meaney MJ, Silveira PP. Accumbal μ-opioid receptors and salt taste-elicited hedonic responses in a rodent model of prenatal adversity, and their correlates using human functional genomics. Stress 2024; 27:2294954. [PMID: 38140734 DOI: 10.1080/10253890.2023.2294954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
Prenatal adversity is associated with behavioral obesogenic features such as preference for palatable foods. Salt appetite may play a role in the development of adiposity and its consequences in individuals exposed to prenatal adversity, and sodium consumption involves individual differences in accumbal µ-opioid receptors function. We investigated the hedonic responses to salt and the levels of µ-opioid receptors and tyrosine hydroxylase in the nucleus accumbens (Nacc) of pups from an animal model of prenatal dietary restriction. In children, we evaluated the interaction between fetal growth and the genetic background associated with the accumbal µ-opioid receptor gene (OPRM1) expression on sodium consumption during a snack test. Sprague-Dawley dams were randomly allocated from pregnancy day 10 to receive an ad libitum (Adlib) or a 50% restricted (FR) diet. The pups' hedonic responses to a salt solution (NaCl 2%) or water were evaluated on the first day of life. FR and Adlib pups differ in their hedonic responses to salt, and there were decreased levels of accumbal µ-opioid and p-µ-opioid receptors in FR pups. In humans, a test meal and genotyping from buccal epithelial cells were performed in 270 children (38 intrauterine growth restricted-IUGR) at 4 years old from a Canadian prospective cohort (MAVAN). The OPRM1 genetic score predicted the sodium intake in IUGR children, but not in controls. The identification of mechanisms involved in the brain response to prenatal adversity and its consequences in behavioral phenotypes and risk for chronic diseases later in life is important for preventive and therapeutic purposes.
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Affiliation(s)
- Adrianne Rahde Bischoff
- Neonatal Hemodynamics, Stead Family Department of Pediatrics, Division of Neonatology, University of Iowa Stead Family Children's Hospital, Iowa City, IA, USA
| | - Roberta Dalle Molle
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Canada
- Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Amanda Brondani Mucellini
- Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Canada
- Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Robert D Levitan
- Centre for Addition and Mental Health (CAMH) and Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Michael J Meaney
- Douglas Mental Health University Institute, McGill University, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences and Brain - Body Initiative, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Patrícia P Silveira
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Canada
- Douglas Mental Health University Institute, McGill University, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
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7
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Chen LM, Pokhvisneva I, Lahti-Pulkkinen M, Kvist T, Baldwin JR, Parent C, Silveira PP, Lahti J, Räikkönen K, Glover V, O'Connor TG, Meaney MJ, O'Donnell KJ. Independent Prediction of Child Psychiatric Symptoms by Maternal Mental Health and Child Polygenic Risk Scores. J Am Acad Child Adolesc Psychiatry 2023:S0890-8567(23)02185-8. [PMID: 37977417 DOI: 10.1016/j.jaac.2023.08.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 08/10/2023] [Accepted: 11/08/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVE Prenatal maternal symptoms of depression and anxiety are associated with an increased risk for child socioemotional and behavioral difficulties, supporting the fetal origins of mental health hypothesis. However, to date, studies have not considered specific genomic risk as a possible confound. METHOD The Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (n = 5,546) was used to test if child polygenic risk score for attention-deficit/hyperactivity disorder (ADHD), schizophrenia, or depression confounds or modifies the impact of prenatal maternal depression and anxiety on child internalizing, externalizing, and total emotional/behavioral symptoms from age 4 to 16 years. Longitudinal child and adolescent symptom data were analyzed in the ALSPAC cohort using generalized estimating equations. Replication analyses were done in an independent cohort (Prevention of Preeclampsia and Intrauterine Growth Restriction [PREDO] cohort; n = 514) from Finland, which provided complementary measures of maternal mental health and child psychiatric symptoms. RESULTS Maternal depression and anxiety and child polygenic risk scores independently and additively predicted behavioral and emotional symptoms from childhood through mid-adolescence. There was a robust prediction of child and adolescent symptoms from both prenatal maternal depression (generalized estimating equation estimate = 0.093, 95% CI 0.065-0.121, p = 2.66 × 10-10) and anxiety (generalized estimating equation estimate = 0.065, 95% CI 0.037-0.093, p = 1.62 × 10-5) after adjusting for child genomic risk for mental disorders. There was a similar independent effect of maternal depression (B = 0.156, 95% CI 0.066-0.246, p = .001) on child symptoms in the PREDO cohort. Genetically informed sensitivity analyses suggest that shared genetic risk only partially explains the reported association between prenatal maternal depression and offspring mental health. CONCLUSION These findings highlight the genomic contribution to the fetal origins of mental health hypothesis and further evidence that prenatal maternal depression and anxiety are robust in utero risks for child and adolescent psychiatric symptoms.
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Affiliation(s)
- Lawrence M Chen
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada
| | - Irina Pokhvisneva
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada
| | - Marius Lahti-Pulkkinen
- University of Helsinki, Finland; Finnish Institute for Health and Welfare, Finland; University of Edinburgh, United Kingdom
| | | | | | - Carine Parent
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada
| | - Patricia P Silveira
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada
| | - Jari Lahti
- University of Helsinki, Finland; Turku Institute for Advanced Studies, University of Turku, Finland
| | | | - Vivette Glover
- Institute of Reproductive and Developmental Biology, Imperial College London, United Kingdom
| | - Thomas G O'Connor
- University of Rochester, Rochester, New York; Wynne Center for Family Research, University of Rochester, Rochester, New York
| | - Michael J Meaney
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada; Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Canada; Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research (A∗STAR), Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kieran J O'Donnell
- Douglas Research Centre, McGill University, Canada; Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Canada; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Yale Child Study Center, Yale School of Medicine, New Haven, Connecticut; Yale School of Medicine, New Haven, Connecticut.
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8
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Fitzgerald E, Shen M, Yong HEJ, Wang Z, Pokhvisneva I, Patel S, O'Toole N, Chan SY, Chong YS, Chen H, Gluckman PD, Chan J, Lee PKM, Meaney MJ. Hofbauer cell function in the term placenta associates with adult cardiovascular and depressive outcomes. Nat Commun 2023; 14:7120. [PMID: 37963865 PMCID: PMC10645763 DOI: 10.1038/s41467-023-42300-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 10/05/2023] [Indexed: 11/16/2023] Open
Abstract
Pathological placental inflammation increases the risk for several adult disorders, but these mediators are also expressed under homeostatic conditions, where their contribution to adult health outcomes is unknown. Here we define an inflammation-related expression signature, primarily expressed in Hofbauer cells of the term placenta and use expression quantitative trait loci to create a polygenic score (PGS) predictive of its expression. Using this PGS in the UK Biobank we conduct a phenome-wide association study, followed by Mendelian randomization and identify protective, sex-dependent effects of the placental module on cardiovascular and depressive outcomes. Genes differentially regulated by intra-amniotic infection and preterm birth are over-represented within the module. We also identify aspirin as a putative modulator of this inflammation-related signature. Our data support a model where disruption of placental Hofbauer cell function, due to preterm birth or prenatal infection, contributes to the increased risk of depression and cardiovascular disease observed in these individuals.
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Affiliation(s)
- Eamon Fitzgerald
- Sackler Program for Epigenetics and Psychobiology, McGill University, Montréal, Canada.
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montréal, Canada.
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada.
| | - Mojun Shen
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
| | - Hannah Ee Juen Yong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
| | - Zihan Wang
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Sachin Patel
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Nicholas O'Toole
- Sackler Program for Epigenetics and Psychobiology, McGill University, Montréal, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montréal, Canada
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Helen Chen
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore
- The University of Auckland, Auckland, New Zealand
| | - Jerry Chan
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Patrick Kia Ming Lee
- Brain - Body Initiative, Agency for Science, Technology & Research, Singapore, Singapore
| | - Michael J Meaney
- Sackler Program for Epigenetics and Psychobiology, McGill University, Montréal, Canada.
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Canada.
- Singapore Institute for Clinical Sciences, Agency for Science, Technology & Research, Singapore, Singapore.
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Brain - Body Initiative, Agency for Science, Technology & Research, Singapore, Singapore.
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Jaramillo-Ospina AM, Roman GT, Rodrigues DM, Patel S, Pokhvisneva I, Chakr VG, Levitan RD, Meaney MJ, Silveira PP. Omega-3 polygenic score protects against altered eating behavior in intrauterine growth-restricted children. Pediatr Res 2023; 94:1225-1234. [PMID: 37142650 DOI: 10.1038/s41390-023-02609-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 03/20/2023] [Accepted: 03/30/2023] [Indexed: 05/06/2023]
Abstract
BACKGROUND Alterations in eating behavior are common in infants with intrauterine growth restriction (IUGR); omega-3 polyunsaturated fatty acids (PUFA) could provide protection. We hypothesized that those born IUGR with a genetic background associated with increased production of omega-3-PUFA will have more adaptive eating behaviors during childhood. METHODS IUGR/non-IUGR classified infants from MAVAN and GUSTO cohorts were included at the age of 4 and 5 years, respectively. Their parents reported child's eating behaviors using the child eating behavior questionnaire-CEBQ. Based on the GWAS on serum PUFA (Coltell 2020), three polygenic scores were calculated. RESULTS Significant interactions between IUGR and polygenic score for omega-3-PUFA on emotional overeating (β = -0.15, P = 0.049 GUSTO) and between IUGR and polygenic score for omega-6/omega-3-PUFA on desire to drink (β = 0.35, P = 0.044 MAVAN), pro-intake/anti-intake ratio (β = 0.10, P = 0.042 MAVAN), and emotional overeating (β = 0.16, P = 0.043 GUSTO) were found. Only in IUGR, a higher polygenic score for omega-3-PUFA associated with lower emotional overeating, while a higher polygenic score for omega-6/omega-3-PUFA ratio was associated with a higher desire to drink, emotional overeating, and pro-intake/anti-intake. CONCLUSION Only in IUGR, the genetic background for higher omega-3-PUFA is associated with protection against altered eating behavior, while the genetic score for a higher omega-6/omega-3-PUFA ratio is associated with altered eating behavior. IMPACT A genetic background related to a higher polygenic score for omega-3 PUFA protected infants born IUGR against eating behavior alterations, while a higher polygenic score for omega-6/omega-3 PUFA ratio increased the risk of having eating behavior alterations only in infants born IUGR, irrespective of their adiposity in childhood. Genetic individual differences modify the effect of being born IUGR on eating outcomes, increasing the vulnerability/resilience to eating disorders in IUGR group and likely contributing to their risk for developing metabolic diseases later in life.
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Affiliation(s)
| | - Gabriel T Roman
- Programa de Residência Médica em Medicina Intensiva Pediátrica, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Danitsa M Rodrigues
- Graduate Program in Neurosciences, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Sachin Patel
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Valentina G Chakr
- Departamento de Pediatria, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Robert D Levitan
- Department of Psychiatry, University of Toronto and Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Michael J Meaney
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Patricia P Silveira
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
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10
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de Mendonça Filho EJ, Pokhvisneva I, Maalouf CM, Parent C, Mliner SB, Slopen N, Williams DR, Bush NR, Boyce WT, Levitt P, Nelson CA, Gunnar MR, Meaney MJ, Shonkoff JP, Silveira PP. Linking specific biological signatures to different childhood adversities: findings from the HERO project. Pediatr Res 2023; 94:564-574. [PMID: 36650307 PMCID: PMC10382309 DOI: 10.1038/s41390-022-02415-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 09/23/2022] [Accepted: 11/02/2022] [Indexed: 01/18/2023]
Abstract
BACKGROUND Although investigations have begun to differentiate biological and neurobiological responses to a variety of adversities, studies considering both endocrine and immune function in the same datasets are limited. METHODS Associations between proximal (family functioning, caregiver depression, and anxiety) and distal (SES-D; socioeconomic disadvantage) early-life adversities with salivary inflammatory biomarkers (IL-1β, IL-6, IL-8, and TNF-α) and hair HPA markers (cortisol, cortisone, and dehydroepiandrosterone) were examined in two samples of young U.S. children (N = 142; N = 145). RESULTS Children exposed to higher SES-D had higher levels of TNF-α (B = 0.13, p = 0.011), IL-1β (B = 0.10, p = 0.033), and DHEA (B = 0.16, p = 0.011). Higher family dysfunction was associated with higher cortisol (B = 0.08, p = 0.033) and cortisone (B = 0.05, p = 0.003). An interaction between SES-D and family dysfunction was observed for cortisol levels (p = 0.020) whereby children exposed to lower/average levels of SES-D exhibited a positive association between family dysfunction and cortisol levels, whereas children exposed to high levels of SES-D did not. These findings were partially replicated in the second sample. CONCLUSIONS Our results indicate that these biological response systems may react differently to different forms of early-life adversity. IMPACT Different forms of early-life adversity have varied stress signatures, and investigations of early-life adversities with inflammation and HPA markers are lacking. Children with higher socioeconomic disadvantage had higher TNF-α, IL-1β, and DHEA. Higher family dysfunction was associated with higher hair cortisol and cortisone levels, and the association between family dysfunction and cortisol was moderated by socioeconomic disadvantage. Biological response systems (immune and endocrine) were differentially associated with distinct forms of early-life adversities.
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Affiliation(s)
- Euclides José de Mendonça Filho
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
| | - Christina Maria Maalouf
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
| | - Carine Parent
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
| | - Shanna B Mliner
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Natalie Slopen
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - David R Williams
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, San Francisco, CA, USA
- Division of Developmental Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - William Thomas Boyce
- Division of Developmental Medicine, Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Pat Levitt
- Department of Pediatrics and Program in Developmental Neuroscience and Developmental Neurogenetics, The Saban Research Institute, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Charles A Nelson
- Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Graduate School of Education, Cambridge, MA, USA
| | - Megan R Gunnar
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - Michael J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, Singapore, Republic of Singapore
| | - Jack P Shonkoff
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Graduate School of Education, Cambridge, MA, USA
- Center on the Developing Child, Harvard University, Cambridge, MA, USA
| | - Patricia Pelufo Silveira
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada.
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
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11
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Sunderji A, Gallant HD, Hall A, Davis AD, Pokhvisneva I, Meaney MJ, Silveira PP, Sassi RB, Hall GB. Serotonin transporter (5-HTT) gene network moderates the impact of prenatal maternal adversity on orbitofrontal cortical thickness in middle childhood. PLoS One 2023; 18:e0287289. [PMID: 37319261 PMCID: PMC10270637 DOI: 10.1371/journal.pone.0287289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 06/03/2023] [Indexed: 06/17/2023] Open
Abstract
In utero, the developing brain is highly susceptible to the environment. For example, adverse maternal experiences during the prenatal period are associated with outcomes such as altered neurodevelopment and emotion dysregulation. Yet, the underlying biological mechanisms remain unclear. Here, we investigate whether the function of a network of genes co-expressed with the serotonin transporter in the amygdala moderates the impact of prenatal maternal adversity on the structure of the orbitofrontal cortex (OFC) in middle childhood and/or the degree of temperamental inhibition exhibited in toddlerhood. T1-weighted structural MRI scans were acquired from children aged 6-12 years. A cumulative maternal adversity score was used to conceptualize prenatal adversity and a co-expression based polygenic risk score (ePRS) was generated. Behavioural inhibition at 18 months was assessed using the Early Childhood Behaviour Questionnaire (ECBQ). Our results indicate that in the presence of a low functioning serotonin transporter gene network in the amygdala, higher levels of prenatal adversity are associated with greater right OFC thickness at 6-12 years old. The interaction also predicts temperamental inhibition at 18 months. Ultimately, we identified important biological processes and structural modifications that may underlie the link between early adversity and future deviations in cognitive, behavioural, and emotional development.
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Affiliation(s)
- Aleeza Sunderji
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Heather D. Gallant
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Alexander Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Andrew D. Davis
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Irina Pokhvisneva
- 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
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences and Brain–Body Initiative, Agency for Science, Technology and Research (A*STAR), Singapore Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Patricia P. 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
| | - Roberto B. Sassi
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Geoffrey B. Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
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12
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Silveira PP, Pokhvisneva I, Howard DM, Meaney MJ. A sex-specific genome-wide association study of depression phenotypes in UK Biobank. Mol Psychiatry 2023; 28:2469-2479. [PMID: 36750733 PMCID: PMC10611579 DOI: 10.1038/s41380-023-01960-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 12/07/2022] [Accepted: 01/11/2023] [Indexed: 02/09/2023]
Abstract
There are marked sex differences in the prevalence, phenotypic presentation and treatment response for major depression. While genome-wide association studies (GWAS) adjust for sex differences, to date, no studies seek to identify sex-specific markers and pathways. In this study, we performed a sex-stratified genome-wide association analysis for broad depression with the UK Biobank total participants (N = 274,141), including only non-related participants, as well as with males (N = 127,867) and females (N = 146,274) separately. Bioinformatics analyses were performed to characterize common and sex-specific markers and associated processes/pathways. We identified 11 loci passing genome-level significance (P < 5 × 10-8) in females and one in males. In both males and females, genetic correlations were significant between the broad depression GWA and other psychopathologies; however, correlations with educational attainment and metabolic features including body fat, waist circumference, waist-to-hip ratio and triglycerides were significant only in females. Gene-based analysis showed 147 genes significantly associated with broad depression in the total sample, 64 in the females and 53 in the males. Gene-based analysis revealed "Regulation of Gene Expression" as a common biological process, but suggested sex-specific molecular mechanisms. Finally, sex-specific polygenic risk scores (PRSs) for broad depression outperformed total and the opposite sex PRSs in the prediction of broad major depressive disorder. These findings provide evidence for sex-dependent genetic pathways for clinical depression as well as for health conditions comorbid with depression.
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Affiliation(s)
- Patrícia Pelufo Silveira
- Ludmer Centre for Neuroinformatics and Mental Health, Department of Psychiatry, Faculty of Medicine & Douglas Research Centre, McGill University, Montreal, QC, Canada
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Department of Psychiatry, Faculty of Medicine & Douglas Research Centre, McGill University, Montreal, QC, Canada
| | - David M Howard
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Michael J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Department of Psychiatry, Faculty of Medicine & Douglas Research Centre, McGill University, Montreal, QC, Canada.
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences and Brain - Body Initiative, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- Brain-Body Initiative, Institute for Cell & Molecular Biology, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
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13
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Ayyash S, Sunderji A, Gallant HD, Hall A, Davis AD, Pokhvisneva I, Meaney MJ, Silveira PP, Sassi RB, Hall GB. Examining resting-state network connectivity in children exposed to perinatal maternal adversity using anatomically weighted functional connectivity (awFC) analyses; A preliminary report. Front Neurosci 2023; 17:1066373. [PMID: 37008220 PMCID: PMC10060836 DOI: 10.3389/fnins.2023.1066373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 02/16/2023] [Indexed: 03/18/2023] Open
Abstract
IntroductionEnvironmental perturbations during critical periods can have pervasive, organizational effects on neurodevelopment. To date, the literature examining the long-term impact of early life adversity has largely investigated structural and functional imaging data outcomes independently. However, emerging research points to a relationship between functional connectivity and the brain’s underlying structural architecture. For instance, functional connectivity can be mediated by the presence of direct or indirect anatomical pathways. Such evidence warrants the use of structural and functional imaging in tandem to study network maturation. Accordingly, this study examines the impact of poor maternal mental health and socioeconomic context during the perinatal period on network connectivity in middle childhood using an anatomically weighted functional connectivity (awFC) approach. awFC is a statistical model that identifies neural networks by incorporating information from both structural and functional imaging data.MethodsResting-state fMRI and DTI scans were acquired from children aged 7–9 years old.ResultsOur results indicate that maternal adversity during the perinatal period can affect offspring’s resting-state network connectivity during middle childhood. Specifically, in comparison to controls, children of mothers who had poor perinatal maternal mental health and/or low socioeconomic status exhibited greater awFC in the ventral attention network.DiscussionThese group differences were discussed in terms of the role this network plays in attention processing and maturational changes that may accompany the consolidation of a more adult-like functional cortical organization. Furthermore, our results suggest that there is value in using an awFC approach as it may be more sensitive in highlighting connectivity differences in developmental networks associated with higher-order cognitive and emotional processing, as compared to stand-alone FC or SC analyses.
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Affiliation(s)
- Sondos Ayyash
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Aleeza Sunderji
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Heather D. Gallant
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Alexander Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Andrew D. Davis
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Michael J. Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Faculty of Medicine and Health Sciences, Department of Psychiatry, McGill University, Montreal, QC, Canada
- Translational Neuroscience Program, Agency for Science, Technology and Research (A*STAR), Singapore Yong Loo Lin School of Medicine, Singapore Institute for Clinical Sciences and Brain – Body Initiative, National University of Singapore, Singapore, Singapore
| | - Patricia Pelufo Silveira
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Faculty of Medicine and Health Sciences, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Roberto B. Sassi
- Department of Psychiatry, The University of British Columbia, Vancouver, BC, Canada
| | - Geoffrey B. Hall
- School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
- *Correspondence: Geoffrey B. Hall,
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14
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Bolhuis E, Belsky J, Frankenhuis WE, Shalev I, Hastings WJ, Tollenaar MS, O’Donnell KJ, McGill MG, Pokhvisneva I, Lin DT, MacIsaac JL, Kobor MS, de Weerth C, Beijers R. Attachment insecurity and the biological embedding of reproductive strategies: Investigating the role of cellular aging. Biol Psychol 2022; 175:108446. [DOI: 10.1016/j.biopsycho.2022.108446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 10/15/2022] [Accepted: 10/16/2022] [Indexed: 11/02/2022]
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15
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Batra A, Elgbeili G, Patel S, Pokhvisneva I, Meaney MJ, Silveira P. RF17 | PSAT126 Early Life Adversity and a Sex-Specific Polygenic Risk Score for Altered Fasting Insulin are Associated with Executive Functioning. J Endocr Soc 2022. [PMCID: PMC9625210 DOI: 10.1210/jendso/bvac150.965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Insulin is an important homeostatic hormone with implications for childhood growth, development and adult psychopathology. Considering the high prevalence of co-morbidity between altered metabolism and executive function problems (e.g. obesity and ADHD), we hypothesized that 1) the genetic background associated with altered fasting insulin (FI) and ADHD could be shared; 2) if (1) is rejected, it suggests that interactive models between the genetic background associated with altered FI and childhood environment would better predict executive functions. Using conjunctional false discovery rate (FDR), we found no SNPs shared between the FI GWAS and ADHD GWAS. (2) We calculated polygenic risk scores (PRS) from the sex-specific FI GWAS and identified the threshold that best predicted insulin levels in male and female children in the ALSPAC cohort [Nmales = 245, Nfemales = 222; pt-intial-males = 0.35 (41,108 SNPs), pt-intial-females = 0.01 (2751 SNPs)], further refining it to only include SNPs significantly associated with insulin levels [pt-refined-males = 0.05 (32,520 SNPs), pt-refined-females = 0.05 (230 SNPs)]. We calculated the refined PRS (rPRS) at different ages in multiple cohorts and investigated its interaction effect with early adversity on attention deficit assessments, through CBCL Attention Problems Scale and DSM ADHD Scale, in males and females. In MAVAN, there was a significant interaction [N = 74, p = 0.039] in females at the age of 60 months where simple slope analysis informed us that within the low rPRS group, there is a significant [p = 0.005] positive association between postnatal adversity and attention problems. In GUSTO, there was a significant interaction [N = 208, p = 0.026] in males at the age of 4 years where simple slope analysis informed us that within the high rPRS group, there is a significant [p = 0.003] positive association between postnatal adversity and attention problems. In ABCD, there was a significant interaction in males [N = 4012, p = 0.05] at the age of 10 years and in females [N = 1689, p = 0.013] at the age of 11 years where simple slope analysis informed us that within the low and high rPRS groups, there is a significant [plow_PRS_male < 0.01, phigh_PRS_male< 0.01, plow_PRS_female < 0.01, phigh_PRS_female= 0.03] positive association between postnatal adversity and attention problems. The sex differences at different ages observed in these analyses agree with the differences in males’ and females’ growth trajectories, which are influenced by insulin during development. We conclude that since conjunctional FDR was not feasible and there were no main effects of fasting insulin PRS, the genetic background associated with FI levels is linked with executive function psychopathology, but this effect is sex and environment dependent. The findings reported have implications for age-dependent identification and treatment of psychopathology. Presentation: Sunday, June 12, 2022 12:54 p.m. - 12:59 p.m.
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de Lima RMS, Barth B, Mar Arcego D, de Mendonça Filho EJ, Patel S, Wang Z, Pokhvisneva I, Parent C, Levitan RD, Kobor MS, de Vasconcellos Bittencourt APS, Meaney MJ, Dalmaz C, Silveira PP. Leptin receptor co-expression gene network moderates the effect of early life adversity on eating behavior in children. Commun Biol 2022; 5:1092. [PMID: 36241774 PMCID: PMC9568584 DOI: 10.1038/s42003-022-03992-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 09/13/2022] [Indexed: 12/02/2022] Open
Abstract
Leptin influences eating behavior. Exposure to early adversity is associated with eating behaviour disorders and metabolic syndrome, but the role of the leptin receptor on this relationship is poorly explored. We investigated whether individual differences in brain region specific leptin receptor (LepR) gene networks could moderate the effects of early adversity on eating behavior and metabolism. We created an expression-based polygenic risk score (ePRS) reflecting variations in the function of LepR gene network in prefrontal cortex and hypothalamus to investigate the interactions between a cumulative index of postnatal adversity on eating behavior in two independent birth cohorts (MAVAN and GUSTO). To explore whether variations in the prefrontal cortex or hypothalamic genetic scores could be associated with metabolic measurements, we also assessed the relationship between LepR-ePRS and fasting blood glucose and leptin levels in a third independent cohort (ALSPAC). We identified significant interaction effects between postnatal adversity and prefrontal-based LepR-ePRS on the Child Eating Behavior Questionnaire scores. In MAVAN, we observed a significant interaction effect on food enjoyment at 48 months (β = 61.58, p = 0.015) and 72 months (β = 97.78, p = 0.001); food responsiveness at 48 months (β = 83.79, p = 0.009) satiety at 48 months (β = −43.63, p = 0.047). Similar results were observed in the GUSTO cohort, with a significant interaction effect on food enjoyment (β = 30.48, p = 0.006) food fussiness score (β = −24.07, p = 0.02) and satiety score at 60 months (β = −17.00, p = 0.037). No effects were found when focusing on the hypothalamus-based LepR-ePRS on eating behavior in MAVAN and GUSTO cohorts, and there was no effect of hypothalamus and prefrontal cortex based ePRSs on metabolic measures in ALSPAC. Our study indicated that exposure to postnatal adversity interacts with prefrontal cortex LepR-ePRS to moderate eating behavior, suggesting a neurobiological mechanism associated with the development of eating behavior problems in response to early adversity. The knowledge of these mechanisms may guide the understanding of eating patterns associated with risk for obesity in response to fluctuations in stress exposure early in life. An expression-based polygenic risk score analysis of leptin receptor (LepR) genes suggests that LepR-specific genes co-expressed in the prefrontal cortex interact with exposure to postnatal adversity, potentially modulating eating behavior in children.
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Affiliation(s)
- Randriely Merscher Sobreira de Lima
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.,Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde (ICBS), Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Barbara Barth
- Integrated Program in Neuroscience (IPN), McGill University, Montreal, QC, Canada
| | - Danusa Mar Arcego
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Euclides José de Mendonça Filho
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.,Programa de Pós-Graduação em Psicologia, Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Sachin Patel
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, QC, Canada
| | - Zihan Wang
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, QC, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, QC, Canada
| | - Carine Parent
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, QC, Canada
| | - Robert D Levitan
- Department of Psychiatry, University of Toronto and Centre for Addiction and Mental Health, 250 College St, Toronto, Ontario, Canada
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, 938 West 28th Avenue, Vancouver, BC, Canada
| | | | - Michael J Meaney
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Carla Dalmaz
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde (ICBS), Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.,Programa de Pós-graduação em Ciências Biológicas: Bioquímica, Departamento de Bioquímica, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Patrícia Pelufo Silveira
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada. .,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, QC, Canada.
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17
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de Mendonça Filho EJ, Frechette A, Pokhvisneva I, Arcego DM, Barth B, Tejada CAV, Sassi R, Wazana A, Atkinson L, Meaney MJ, Silveira PP. Examining attachment, cortisol secretion, and cognitive neurodevelopment in preschoolers and its predictive value for telomere length at age seven. Front Behav Neurosci 2022; 16:954977. [PMID: 36311861 PMCID: PMC9606391 DOI: 10.3389/fnbeh.2022.954977] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 09/22/2022] [Indexed: 11/03/2023] Open
Abstract
Background Secure attachment reflects caregiver-child relationship in which the caregiver is responsive when support and comforting are needed by the child. This pattern of bond has an important buffering role in the response to stress by the reduction of the negative experience and its associated physiological response. Disruption of the physiological stress system is thought to be a central mechanism by which early care impacts children. Early life stress causes cellular and molecular changes in brain regions associated with cognitive functions that are fundamental for early learning. Methods The association between attachment, cortisol response before and after the Strange Situation Experiment, and neurodevelopment was examined in a sample of 107 preschoolers at age three. Also, the predictive effect of cortisol reactivity and attachment on telomere length at age seven was investigated in a followed-up sample of 77 children. Results Children with insecure attachment had higher cortisol secretion and poorer neurodevelopmental skills at age three. A significant cortisol change was observed across the experiment with non-significant interaction with attachment. The attachment and neurodevelopment association was not mediated by cortisol secretion. Preschoolers' attachment and cortisol did not associate nor interacted to predict telomere length at age seven. Conclusion These findings add evidence to the detrimental effects of insecure attachment as an aggravator of the physiological response to stress and poorer neurodevelopment during the preschool period. Although attachment and cortisol were not predictive of telomere length, intervention policies that promote secure attachment are more likely to positively echo on several health domains.
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Affiliation(s)
- Euclides José de Mendonça Filho
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Verdun, QC, Canada
| | - Ariane Frechette
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Verdun, QC, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Verdun, QC, Canada
| | - Danusa Mar Arcego
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Verdun, QC, Canada
| | - Barbara Barth
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Verdun, QC, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - Camila-Andrea Valle Tejada
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Verdun, QC, Canada
| | - Roberto Sassi
- Division of Child and Adolescent Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Ashley Wazana
- Department of Psychology, Ryerson University, Toronto, ON, Canada
| | - Leslie Atkinson
- Department of Psychology, Toronto Metropolitan University, Toronto, ON, Canada
| | - Michael J. Meaney
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Verdun, QC, Canada
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Patricia P. Silveira
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Verdun, QC, Canada
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18
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Kee MZ, Teh AL, Clappison A, Pokhvisneva I, MacIssac JL, Lin DT, Ramadori KE, Broekman BF, Chen H, Daniel ML, Karnani N, Kobor MS, Gluckman PD, Chong YS, Huang JY, Meaney MJ. Fetal sex-specific epigenetic associations with prenatal maternal depressive symptoms. iScience 2022; 25:104860. [PMID: 36046194 PMCID: PMC9421382 DOI: 10.1016/j.isci.2022.104860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/14/2022] [Accepted: 07/26/2022] [Indexed: 11/22/2022] Open
Abstract
Prenatal maternal mental health is a global health challenge with poorly defined biological mechanisms. We used maternal blood samples collected during the second trimester from a Singaporean longitudinal birth cohort study to examine the association between inter-individual genome-wide DNA methylation and prenatal maternal depressive symptoms. We found that (1) the maternal methylome was significantly associated with prenatal maternal depressive symptoms only in mothers with a female fetus; and (2) this sex-dependent association was observed in a comparable, UK-based birth cohort study. Qualitative analyses showed fetal sex-specific differences in genomic features of depression-related CpGs and genes mapped from these CpGs in mothers with female fetuses implicated in a depression-associated WNT/β-catenin signaling pathway. These same genes also showed enriched expression in brain regions linked to major depressive disorder. We also found similar female-specific associations with fetal-facing placenta methylome. Our fetal sex-specific findings provide evidence for maternal-fetal interactions as a mechanism for intergenerational transmission.
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Affiliation(s)
- Michelle Z.L. Kee
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
| | - Ai Ling Teh
- Bioinformatics, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
| | - Andrew Clappison
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC H4H 1R3, Canada
| | - Irina Pokhvisneva
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC H4H 1R3, Canada
| | - Julie L. MacIssac
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
| | - David T.S. Lin
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
| | - Katia E. Ramadori
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
| | - Birit F.P. Broekman
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
- Department of Psychiatry, Amsterdam UMC and OLVG, VU University, 1007 Amsterdam, the Netherlands
| | - Helen Chen
- Department of Psychological Medicine (Mental Wellness Service), KK Women’s and Children’s Hospital, Singapore 229899, Singapore
| | - Mary Lourdes Daniel
- Department of Child Development, KK Women’s and Children’s Hospital, Singapore 229899, Singapore
| | - Neerja Karnani
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
| | - Michael S. Kobor
- Centre for Molecular Medicine and Therapeutics, BC Children’s Hospital Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC V5Z 4H4, Canada
| | - Peter D. Gluckman
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
- Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland 1142, New Zealand
| | - Yap Seng Chong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Jonathan Y. Huang
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
- Centre for Quantitative Medicine, Health Services and System Research Signature Research Programme, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Michael J. Meaney
- Translation Neuroscience, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
- Bioinformatics, Singapore Institute for Clinical Sciences, ASTAR, Singapore 117609, Singapore
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
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19
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Laganière C, Gaudreau H, Pokhvisneva I, Kenny S, Bouvette-Turcot AA, Meaney M, Pennestri MH. Sleep terrors in early childhood and associated emotional-behavioral problems. J Clin Sleep Med 2022; 18:2253-2260. [PMID: 35686369 PMCID: PMC9435351 DOI: 10.5664/jcsm.10080] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 04/18/2022] [Accepted: 04/18/2022] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES While sleep terrors are associated with emotional-behavioral problems in school-aged children and adults, little is known about these associations in early childhood, when sleep terrors prevalence is at its highest. Moreover, studies using a longitudinal design and controlling for confounding variables are scarce. This study's objective was to determine whether the frequency of sleep terrors in toddlers predicts emotional-behavioral problems during the preschool years. METHODS Participants (n = 324) were enrolled in the prospective Maternal Adversity Vulnerability and Neurodevelopment cohort study. The frequency of sleep terrors in children was assessed at 12, 18, 24, and 36 months using maternal reports. Children's emotional-behavioral problems were measured at 48 and 60 months using the Child Behavior Checklist. Relevant confounders linked to the child, mother, and environment were also taken into consideration. RESULTS The frequency of sleep terrors was relatively stable across early childhood (16.7-20.5%). A generalized estimating equation revealed that the frequency of sleep terrors in early childhood was associated with increased emotional-behavioral problems at 4 and 5 years of age, more specifically with internalizing problems (P < .001), after controlling for child's sex, time point, family socioeconomic status, maternal depressive symptoms, and nighttime sleep duration. The frequency of sleep terrors was further associated with the emotionally reactive, anxious/depressed, and somatic complaints scales (P < .01). CONCLUSIONS This longitudinal study provides further support for a high prevalence of sleep terrors in early childhood. Our findings show meaningful associations between higher frequency of sleep terrors and emotional-behavioral problems as early as toddlerhood, especially internalizing problems. CITATION Laganière C, Gaudreau H, Pokhvisneva I, et al. Sleep terrors in early childhood and associated emotional-behavioral problems. J Clin Sleep Med. 2022;18(9):2253-2260.
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Affiliation(s)
- Christine Laganière
- Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Centre intégré universitaire de santé et de services sociaux de l’Ouest-de-l’Ile-de-Montréal, Montreal, Quebec, Canada
- Hôpital en Santé Mentale Rivière-des-Prairies, Centre intégré universitaire de santé et de services sociaux du Nord-de-l’Ile-de-Montréal, Montreal, Quebec, Canada
| | - Hélène Gaudreau
- Douglas Mental Health University Institute, Centre intégré universitaire de santé et de services sociaux de l’Ouest-de-l’Ile-de-Montréal, Montreal, Quebec, Canada
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, Centre intégré universitaire de santé et de services sociaux de l’Ouest-de-l’Ile-de-Montréal, Montreal, Quebec, Canada
| | - Samantha Kenny
- Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada
- Hôpital en Santé Mentale Rivière-des-Prairies, Centre intégré universitaire de santé et de services sociaux du Nord-de-l’Ile-de-Montréal, Montreal, Quebec, Canada
| | - Andrée-Anne Bouvette-Turcot
- Douglas Mental Health University Institute, Centre intégré universitaire de santé et de services sociaux de l’Ouest-de-l’Ile-de-Montréal, Montreal, Quebec, Canada
| | - Michael Meaney
- Douglas Mental Health University Institute, Centre intégré universitaire de santé et de services sociaux de l’Ouest-de-l’Ile-de-Montréal, Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Marie-Hélène Pennestri
- Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada
- Hôpital en Santé Mentale Rivière-des-Prairies, Centre intégré universitaire de santé et de services sociaux du Nord-de-l’Ile-de-Montréal, Montreal, Quebec, Canada
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20
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Shenk CE, O'Donnell KJ, Pokhvisneva I, Kobor MS, Meaney MJ, Bensman HE, Allen EK, Olson AE. Epigenetic Age Acceleration and Risk for Posttraumatic Stress Disorder following Exposure to Substantiated Child Maltreatment. J Clin Child Adolesc Psychol 2022; 51:651-661. [PMID: 33471576 PMCID: PMC8289945 DOI: 10.1080/15374416.2020.1864738] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Child maltreatment is among the strongest predictors of posttraumatic stress disorder (PTSD). However, less than 40% of children who have been maltreated are ever diagnosed with PTSD, suggesting that exposure to child maltreatment alone is insufficient to explain this risk. This study examined whether epigenetic age acceleration, a stress-sensitive biomarker derived from DNA methylation, explains variation in PTSD diagnostic status subsequent to child maltreatment. METHOD Children and adolescents (N = 70; 65.7% female), 8-15 years of age (M = 12.00, SD = 2.37) and exposed to substantiated child maltreatment within the 12 months prior to study entry, were enrolled. Participants provided epithelial cheek cells via buccal swab for genotyping and quantification of epigenetic age acceleration within a case-control design. PTSD diagnostic status was determined using the Child PTSD Symptoms Scale according to the DSM-IV-TR algorithm. RESULTS Epigenetic age acceleration predicted current PTSD status, revealing an effect size magnitude in the moderate range, OR = 2.35, 95% CI: 1.22- 4.51, after adjusting for sample demographics, polygenic risk for PTSD, and lifetime exposure to other childhood adversities. Supplemental analyses demonstrated that epigenetic age acceleration was related to a greater severity of PTSD arousal symptoms (r =.29, p =.015). There were no differential effects for child maltreatment subtype on epigenetic age acceleration or PTSD status. CONCLUSIONS The biological embedding of child maltreatment may explain variation in PTSD diagnostic status and serve as a novel approach for informing selective prevention or precision-based therapeutics for those at risk for PTSD.
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Affiliation(s)
- Chad E Shenk
- Department of Human Development and Family Studies, The Pennsylvania State University
- Department of Pediatrics, The Pennsylvania State University College of Medicine
| | - Kieran J O'Donnell
- The Douglas Hospital Research Centre, Department of Psychiatry, McGill University
- Child and Brain Developmental Program, Canadian Institute for Advanced Research
| | - Irina Pokhvisneva
- The Douglas Hospital Research Centre, Department of Psychiatry, McGill University
| | - Michael S Kobor
- Child and Brain Developmental Program, Canadian Institute for Advanced Research
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia
| | - Michael J Meaney
- The Douglas Hospital Research Centre, Department of Psychiatry, McGill University
- Child and Brain Developmental Program, Canadian Institute for Advanced Research
- Agency for Science, Technology and Research, Singapore Institute of Clinical Sciences
| | - Heather E Bensman
- Department of Pediatrics, The University of Cincinnati College of Medicine
| | - Elizabeth K Allen
- Department of Human Development and Family Studies, The Pennsylvania State University
| | - Anneke E Olson
- Department of Human Development and Family Studies, The Pennsylvania State University
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21
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McGill MG, Pokhvisneva I, Clappison AS, McEwen LM, Beijers R, Tollenaar M, Pham H, Kee MZL, Garg E, de Mendonça Filho EJ, Karnani N, Silveira PP, Kobor MS, de Weerth C, Meaney MJ, O'Donnell KJ. Reply to: Crossing the "Birth Border" for Epigenetic Effects. Biol Psychiatry 2022; 92:e25-e26. [PMID: 35249723 DOI: 10.1016/j.biopsych.2021.12.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 12/17/2021] [Indexed: 11/02/2022]
Affiliation(s)
- Megan G McGill
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Irina Pokhvisneva
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Andrew S Clappison
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Lisa M McEwen
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Roseriet Beijers
- Department of Developmental Psychology, Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, the Netherlands
| | - Marieke Tollenaar
- Clinical Psychology Unit, Institute of Psychology, Leiden University, Leiden, the Netherlands
| | - Hung Pham
- Yale Child Study Center and Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore
| | - Elika Garg
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | | | - Neerja Karnani
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore; Bioinformatics Institute, Agency for Science Technology and Research, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Patricia P Silveira
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada
| | - Carolina de Weerth
- Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, the Netherlands
| | - Michael J Meaney
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada; Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kieran J O'Donnell
- Department of Psychiatry, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada; Yale Child Study Center and Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, Connecticut.
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22
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Etzel L, Hastings WJ, Hall MA, Heim CM, Meaney MJ, Noll JG, O'Donnell KJ, Pokhvisneva I, Rose EJ, Schreier HMC, Shenk CE, Shalev I. Obesity and accelerated epigenetic aging in a high-risk cohort of children. Sci Rep 2022; 12:8328. [PMID: 35585103 PMCID: PMC9117197 DOI: 10.1038/s41598-022-11562-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 04/25/2022] [Indexed: 11/20/2022] Open
Abstract
New insights into mechanisms linking obesity to poor health outcomes suggest a role for cellular aging pathways, casting obesity as a disease of accelerated biological aging. Although obesity has been linked to accelerated epigenetic aging in middle-aged adults, the impact during childhood remains unclear. We tested the association between body mass index (BMI) and accelerated epigenetic aging in a cohort of high-risk children. Participants were children (N = 273, aged 8 to 14 years, 82% investigated for maltreatment) recruited to the Child Health Study, an ongoing prospective study of youth investigated for maltreatment and a comparison youth. BMI was measured as a continuous variable. Accelerated epigenetic aging of blood leukocytes was defined as the age-adjusted residuals of several established epigenetic aging clocks (Horvath, Hannum, GrimAge, PhenoAge) along with a newer algorithm, the DunedinPoAm, developed to quantify the pace-of-aging. Hypotheses were tested with generalized linear models. Higher age-and sex- adjusted z-scored BMI was significantly correlated with household income, blood cell counts, and three of the accelerated epigenetic aging measures: GrimAge (r = 0.31, P < .0001), PhenoAge (r = 0.24, P < .0001), and DunedinPoAm (r = 0.38, P < .0001). In fully adjusted models, GrimAge (β = 0.07; P = .0009) and DunedinPoAm (β = 0.0017; P < .0001) remained significantly associated with higher age- and sex-adjusted z-scored BMI. Maltreatment-status was not associated with accelerated epigenetic aging. In a high-risk cohort of children, higher BMI predicted epigenetic aging as assessed by two epigenetic aging clocks. These results suggest the association between obesity and accelerated epigenetic aging begins in early life, with implications for future morbidity and mortality risk.
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Affiliation(s)
- Laura Etzel
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA
| | - Waylon J Hastings
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA
| | - Molly A Hall
- Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Christine M Heim
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Institute of Medical Psychology, Humboldt-Universität Zu Berlin, Berlin Institute of Health (BIH), Berlin, Germany
| | - Michael J Meaney
- Departments of Psychiatry and Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Jennie G Noll
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
| | - Kieran J O'Donnell
- Yale Child Study Center, Yale University, New Haven, CT, USA
- Department of Obstetrics Gynecology and Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Emma J Rose
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
- Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, PA, USA
| | - Hannah M C Schreier
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA
| | - Chad E Shenk
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
- Department of Pediatrics, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Idan Shalev
- Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA.
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23
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McGill MG, Pokhvisneva I, Clappison AS, McEwen LM, Beijers R, Tollenaar MS, Pham H, Kee MZL, Garg E, de Mendonça Filho EJ, Karnani N, Silveira PP, Kobor MS, de Weerth C, Meaney MJ, O'Donnell KJ. Maternal Prenatal Anxiety and the Fetal Origins of Epigenetic Aging. Biol Psychiatry 2022; 91:303-312. [PMID: 34756561 DOI: 10.1016/j.biopsych.2021.07.025] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 07/19/2021] [Accepted: 07/20/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND The fetal origins of mental health is a well-established framework that currently lacks a robust index of the biological embedding of prenatal adversity. The Pediatric-Buccal-Epigenetic (PedBE) clock is a novel epigenetic tool that associates with aspects of the prenatal environment, but additional validation in longitudinal datasets is required. Likewise, the relationship between prenatal maternal mental health and the PedBE clock has not been described. METHODS Longitudinal cohorts from the Netherlands (Basal Influences on Baby Development [BIBO] n = 165) and Singapore (Growing Up in Singapore Towards Healthy Outcomes [GUSTO] n = 340) provided data on prenatal maternal anxiety and longitudinal assessments of buccal cell-derived genome-wide DNA methylation assessed at 6 and 10 years of age in BIBO, and at 3, 9, and 48 months of age in GUSTO. Measures of epigenetic age acceleration were calculated using the PedBE clock and benchmarked against an established multi-tissue epigenetic predictor. RESULTS Prenatal maternal anxiety predicted child PedBE epigenetic age acceleration in both cohorts, with effects largely restricted to males and not females. These results were independent of obstetric, socioeconomic, and genetic risk factors, with a larger effect size for prenatal anxiety than depression. PedBE age acceleration predicted increased externalizing symptoms in males from mid- to late childhood in the BIBO cohort only. CONCLUSIONS These findings point to the fetal origins of epigenetic age acceleration and reveal an increased sensitivity in males. Convergent evidence underscores the societal importance of providing timely and effective mental health support to pregnant individuals, which may have lasting consequences for both mother and child.
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Affiliation(s)
- Megan G McGill
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Irina Pokhvisneva
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Andrew S Clappison
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Lisa M McEwen
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Roseriet Beijers
- Department of Developmental Psychology, Radboud University, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, the Netherlands
| | - Marieke S Tollenaar
- Department of Clinical Psychology, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - Hung Pham
- Yale Child Study Center and Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, Connecticut
| | | | - Elika Garg
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | | | - Neerja Karnani
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Bioinformatics Institute, Agency for Science, Technology, and Research, Singapore
| | - Patricia P Silveira
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada
| | - Carolina de Weerth
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, the Netherlands
| | - Michael J Meaney
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada; Singapore Institute for Clinical Sciences, Singapore; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kieran J O'Donnell
- Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, and Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, Quebec, Canada; Yale Child Study Center and Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, Connecticut; Child and Brain Development Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada.
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24
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Restrepo-Lozano JM, Pokhvisneva I, Wang Z, Patel S, Meaney MJ, Silveira PP, Flores C. Corticolimbic DCC gene co-expression networks as predictors of impulsivity in children. Mol Psychiatry 2022; 27:2742-2750. [PMID: 35388180 PMCID: PMC9156406 DOI: 10.1038/s41380-022-01533-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 03/04/2022] [Accepted: 03/16/2022] [Indexed: 12/16/2022]
Abstract
Inhibitory control deficits are prevalent in multiple neuropsychiatric conditions. The communication- as well as the connectivity- between corticolimbic regions of the brain are fundamental for eliciting inhibitory control behaviors, but early markers of vulnerability to this behavioral trait are yet to be discovered. The gradual maturation of the prefrontal cortex (PFC), in particular of the mesocortical dopamine innervation, mirrors the protracted development of inhibitory control; both are present early in life, but reach full maturation by early adulthood. Evidence suggests the involvement of the Netrin-1/DCC signaling pathway and its associated gene networks in corticolimbic development. Here we investigated whether an expression-based polygenic score (ePRS) based on corticolimbic-specific DCC gene co-expression networks associates with impulsivity-related phenotypes in community samples of children. We found that lower ePRS scores associate with higher measurements of impulsive choice in 6-year-old children tested in the Information Sampling Task and with impulsive action in 6- and 10-year-old children tested in the Stop Signal Task. We also found the ePRS to be a better overall predictor of impulsivity when compared to a conventional PRS score comparable in size to the ePRS (4515 SNPs in our discovery cohort) and derived from the latest GWAS for ADHD. We propose that the corticolimbic DCC-ePRS can serve as a novel type of marker for impulsivity-related phenotypes in children. By adopting a systems biology approach based on gene co-expression networks and genotype-gene expression (rather than genotype-disease) associations, these results further validate our methodology to construct polygenic scores linked to the overall biological function of tissue-specific gene networks.
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Affiliation(s)
- Jose M. Restrepo-Lozano
- grid.14709.3b0000 0004 1936 8649Integrated Program in Neuroscience, McGill University, Montreal, QC Canada ,grid.412078.80000 0001 2353 5268Douglas Mental Health University Institute, Montreal, QC Canada
| | - Irina Pokhvisneva
- grid.412078.80000 0001 2353 5268Douglas Mental Health University Institute, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Montreal, QC Canada
| | - Zihan Wang
- grid.412078.80000 0001 2353 5268Douglas Mental Health University Institute, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Montreal, QC Canada
| | - Sachin Patel
- grid.412078.80000 0001 2353 5268Douglas Mental Health University Institute, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Montreal, QC Canada
| | - Michael J. Meaney
- grid.412078.80000 0001 2353 5268Douglas Mental Health University Institute, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC Canada ,grid.452264.30000 0004 0530 269XSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, Singapore, Singapore
| | - Patricia P. Silveira
- grid.412078.80000 0001 2353 5268Douglas Mental Health University Institute, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Ludmer Centre for Neuroinformatics & Mental Health, McGill University, Montreal, QC Canada ,grid.14709.3b0000 0004 1936 8649Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC Canada
| | - Cecilia Flores
- Douglas Mental Health University Institute, Montreal, QC, Canada. .,Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada. .,Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, QC, Canada.
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25
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de Mendonça Filho EJ, Barth B, Bandeira DR, de Lima RMS, Arcego DM, Dalmaz C, Pokhvisneva I, Sassi RB, Hall GBC, Meaney MJ, Silveira PP. Cognitive Development and Brain Gray Matter Susceptibility to Prenatal Adversities: Moderation by the Prefrontal Cortex Brain-Derived Neurotrophic Factor Gene Co-expression Network. Front Neurosci 2021; 15:744743. [PMID: 34899157 PMCID: PMC8652300 DOI: 10.3389/fnins.2021.744743] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 10/22/2021] [Indexed: 11/17/2022] Open
Abstract
Background: Previous studies focused on the relationship between prenatal conditions and neurodevelopmental outcomes later in life, but few have explored the interplay between gene co-expression networks and prenatal adversity conditions on cognitive development trajectories and gray matter density. Methods: We analyzed the moderation effects of an expression polygenic score (ePRS) for the Brain-derived Neurotrophic Factor gene network (BDNF ePRS) on the association between prenatal adversity and child cognitive development. A score based on genes co-expressed with the prefrontal cortex (PFC) BDNF was created, using the effect size of the association between the individual single nucleotide polymorphisms (SNP) and the BDNF expression in the PFC. Cognitive development trajectories of 157 young children from the Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) cohort were assessed longitudinally in 4-time points (6, 12, 18, and 36 months) using the Bayley-II mental scales. Results: Linear mixed-effects modeling indicated that BDNF ePRS moderates the effects of prenatal adversity on cognitive growth. In children with high BDNF ePRS, higher prenatal adversity was associated with slower cognitive development in comparison with those exposed to lower prenatal adversity. Parallel-Independent Component Analysis (pICA) suggested that associations of expression-based SNPs and gray matter density significantly differed between low and high prenatal adversity groups. The brain IC included areas involved in visual association processes (Brodmann area 19 and 18), reallocation of attention, and integration of information across the supramodal cortex (Brodmann area 10). Conclusion: Cognitive development trajectories and brain gray matter seem to be influenced by the interplay of prenatal environmental conditions and the expression of an important BDNF gene network that guides the growth and plasticity of neurons and synapses.
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Affiliation(s)
- Euclides José de Mendonça Filho
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
| | - Barbara Barth
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
- Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Denise Ruschel Bandeira
- Programa de Pós-Graduação em Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Randriely Merscher Sobreira de Lima
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
- Programa de Pós-Graduação em Bioquímica e Neurociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Danusa Mar Arcego
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
| | - Carla Dalmaz
- Programa de Pós-Graduação em Bioquímica e Neurociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
| | | | - Geoffrey B. C. Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Michael J. Meaney
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Patricia Pelufo Silveira
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Center, Montreal, QC, Canada
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26
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Batra A, Chen LM, Wang Z, Parent C, Pokhvisneva I, Patel S, Levitan RD, Meaney MJ, Silveira PP. Early Life Adversity and Polygenic Risk for High Fasting Insulin Are Associated With Childhood Impulsivity. Front Neurosci 2021; 15:704785. [PMID: 34539334 PMCID: PMC8441000 DOI: 10.3389/fnins.2021.704785] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 08/03/2021] [Indexed: 01/11/2023] Open
Abstract
While the co-morbidity between metabolic and psychiatric behaviors is well-established, the mechanisms are poorly understood, and exposure to early life adversity (ELA) is a common developmental risk factor. ELA is associated with altered insulin sensitivity and poor behavioral inhibition throughout life, which seems to contribute to the development of metabolic and psychiatric disturbances in the long term. We hypothesize that a genetic background associated with higher fasting insulin interacts with ELA to influence the development of executive functions (e.g., impulsivity in young children). We calculated the polygenic risk scores (PRSs) from the genome-wide association study (GWAS) of fasting insulin at different thresholds and identified the subset of single nucleotide polymorphisms (SNPs) that best predicted peripheral insulin levels in children from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort [N = 467; pt– initial = 0.24 (10,296 SNPs), pt– refined = 0.05 (57 SNPs)]. We then calculated the refined PRS (rPRS) for fasting insulin at this specific threshold in the children from the Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) cohort and investigated its interaction effect with adversity on an impulsivity task applied at 36 months. We found a significant effect of interaction between fasting insulin rPRS and adversity exposure predicting impulsivity measured by the Snack Delay Task at 36 months [β = −0.329, p = 0.024], such that higher PRS [β = −0.551, p = 0.009] was linked to more impulsivity in individuals exposed to more adversity. Enrichment analysis (MetaCoreTM) of the SNPs that compose the fasting insulin rPRS at this threshold was significant for certain nervous system development processes including dopamine D2 receptor signaling. Additional enrichment analysis (FUMA) of the genes mapped from the SNPs in the fasting insulin rPRS showed enrichment with the accelerated cognitive decline GWAS. Therefore, the genetic background associated with risk for adult higher fasting insulin moderates the impact of early adversity on childhood impulsivity.
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Affiliation(s)
- Aashita Batra
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada.,Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Lawrence M Chen
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada.,Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Zihan Wang
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Carine Parent
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Sachin Patel
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Robert D Levitan
- Mood and Anxiety Disorders Program, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Michael J Meaney
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, QC, Canada.,Translational Neuroscience Programme, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | - Patricia Pelufo Silveira
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, QC, Canada
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27
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Dalmaz C, Barth B, Pokhvisneva I, Wang Z, Patel S, Quillfeldt JA, Mendonça Filho EJ, de Lima RMS, Arcego DM, Sassi RB, Hall GBC, Kobor MS, Meaney MJ, Silveira PP. Prefrontal cortex VAMP1 gene network moderates the effect of the early environment on cognitive flexibility in children. Neurobiol Learn Mem 2021; 185:107509. [PMID: 34454100 DOI: 10.1016/j.nlm.2021.107509] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 08/10/2021] [Accepted: 08/20/2021] [Indexed: 01/07/2023]
Abstract
During development, genetic and environmental factors interact to modify specific phenotypes. Both in humans and in animal models, early adversities influence cognitive flexibility, an important brain function related to behavioral adaptation to variations in the environment. Abnormalities in cognitive functions are related to changes in synaptic connectivity in the prefrontal cortex (PFC), and altered levels of synaptic proteins. We investigated if individual variations in the expression of a network of genes co-expressed with the synaptic protein VAMP1 in the prefrontal cortex moderate the effect of early environmental quality on the performance of children in cognitive flexibility tasks. Genes overexpressed in early childhood and co-expressed with the VAMP1 gene in the PFC were selected for study. SNPs from these genes (post-clumping) were compiled in an expression-based polygenic score (PFC-ePRS-VAMP1). We evaluated cognitive performance of the 4 years-old children in two cohorts using similar cognitive flexibility tasks. In the first cohort (MAVAN) we utilized two CANTAB tasks: (a) the Intra-/Extra-dimensional Set Shift (IED) task, and (b) the Spatial Working Memory (SWM) task. In the second cohort, GUSTO, we used the Dimensional Change Card Sort (DCCS) task. The results show that in 4 years-old children, the PFC-ePRS-VAMP1 network moderates responsiveness to the effects of early adversities on the performance in attentional flexibility tests. The same result was observed for a spatial working memory task. Compared to attentional flexibility, reversal learning showed opposite effects of the environment, as moderated by the ePRS. A parallel ICA analysis was performed to identify relationships between whole-brain voxel based gray matter density and SNPs that comprise the PFC-ePRS-VAMP1. The early environment predicts differences in gray matter content in regions such as prefrontal and temporal cortices, significantly associated with a genetic component related to Wnt signaling pathways. Our data suggest that a network of genes co-expressed with VAMP1 in the PFC moderates the influence of early environment on cognitive function in children.
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Affiliation(s)
- Carla Dalmaz
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; Depto Bioquimica e PPG CB Bioquimica, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; PPG Neurociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
| | - Barbara Barth
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Zihan Wang
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Sachin Patel
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Jorge A Quillfeldt
- PPG Neurociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; Depto Biofisica, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Euclides J Mendonça Filho
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Randriely Merscher Sobreira de Lima
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; PPG Neurociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Danusa M Arcego
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Roberto Britto Sassi
- Mood Disorders Program, Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Geoffrey B C Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, 938 West 28th Avenue, Vancouver, BC V5Z 4H4, Canada
| | - Michael J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Patrícia P Silveira
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada; PPG Neurociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
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28
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Laganière C, Kenny S, Gaudreau H, Pokhvisneva I, Bouvette-Turcot AA, Meaney M, Pennestri MH. 597 Sleep Bruxism in Preschool Children: Associations with Emotional-Behavioral Problems. Sleep 2021. [DOI: 10.1093/sleep/zsab072.595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
Several psychosocial factors contribute to the etiology of sleep bruxism in childhood, including emotional-behavioral problems, as well as environmental and familial factors. It is known that sleep bruxism is prevalent in preschoolers, but most etiology studies were conducted with school-aged children or adolescents. Studies focusing on younger, preschool-aged populations that consider family-related factors are lacking. This study aimed to assess the relationship between emotional-behavioral problems and the presence of sleep bruxism in preschoolers, while taking maternal depressive symptoms into consideration.
Methods
Three hundred eighty-three mother-child dyads from the Maternal Adversity, Vulnerability, and Neurodevelopment (MAVAN) cohort were included in the present study. Mothers completed the Child’s Sleep Habits Questionnaires (CSHQ; includes the frequency of bruxism), a questionnaire about their child’s emotional-behavioral problems (CBCL; anxiety and depressive problems), and reported their own depressive symptoms (CES-D). Measures were completed at two timepoints: when children were 4 and 5 years old. Generalized Estimating Equation (GEE) models were used to evaluate the relationship between sleep bruxism frequency and children’s emotional-behavioral problems, while controlling for maternal depressive symptoms, child’s biological sex, family socioeconomic status, and age.
Results
Maternal reports indicated that 12% of children experienced sleep bruxism at least sometimes at age four, and 20% did at age five. Children’s anxiety and depressive symptoms were associated with increased sleep bruxism frequency (p < 0.05). Associations between children’s emotional-behavioral problems and bruxism remained statistically significant when controlling for maternal depressive symptoms, child’s biological sex, family socioeconomic status, and time (p < 0.05).
Conclusion
In this normative cohort of children, sleep bruxism was associated with anxiety and depressive symptoms in children as young as age four. Furthermore, this relationship can still be observed when the severity of maternal depressive symptoms is considered. Whether anxiety and depressive symptoms contribute to sleep bruxism, or vice versa, remain to be further investigated. Nevertheless, results suggest that screening of emotional-behavioral problems should be considered in children experiencing sleep bruxism.
Support (if any)
Fonds de recherche du Québec - Santé
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29
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Parent C, Pokhvisneva I, de Mendonça Filho EJ, O'Donnell KJ, Meaney MJ, Kee MZL, Thng G, Wing H, Adler NE, Keeton V, Pantell MS, Hessler D, Gottlieb LM, Silveira PP. Salivary cytokine cluster moderates the association between caregivers perceived stress and emotional functioning in youth. Brain Behav Immun 2021; 94:125-137. [PMID: 33662503 DOI: 10.1016/j.bbi.2021.02.025] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 02/14/2021] [Accepted: 02/24/2021] [Indexed: 10/22/2022] Open
Abstract
Some individuals exposed to early life stress show evidence of enhanced systemic inflammation and are at greater risk for psychopathology. In the current study, caregivers and their offspring (0-17 years) were recruited at a pediatric clinic visit at the University of California, San Francisco (UCSF). Mothers and seven-year-old children from the Growing Up inSingaporeTowards healthy Outcomes (GUSTO) prospective birth cohort were used as a replication cohort. Caregivers perceived stress was measured to determine potential intergenerational effects on the children's functioning and inflammation levels. Children's emotional functioning in the UCSF cohort was evaluated using the Pediatric Quality of Life (PedsQL) inventory. Child emotional and behavioral functioning was measured using the Child Behavior Checklist (CBCL) in GUSTO. Saliva was collected from the children and salivary levels of IL-6, IL-1β, IL-8 and TNF-α were measured using an electrochemiluminescent cytokine multiplex panel. Child IL-6, IL-1β, IL-8 cytokine levels were clustered into low, average, and high cytokine cluster groups using hierarchical cluster analysis. We did not find that salivary cytokine clusters were significantly associated with children's emotional or behavioral function. However, cytokine clusters did significantly moderate the association between increased caregiver perceived stress and reduced child emotional functioning (UCSF cohort) and increased Attention-Deficit-Hyperactivity (ADH) problems (GUSTO cohort, uncorrected Cohen's F2 = 0.02). Using a cytokine clustering technique may be useful in identifying those children exposed to increased caregiver perceived stress that are at risk of emotional and attention deficit hyperactivity problems.
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Affiliation(s)
- Carine Parent
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada
| | | | - Kieran J O'Donnell
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada; Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada; CIFAR, Toronto, ON, Canada; Yale Child Study Center & Department of Obstetrics Gynecology & Reproductive Sciences, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Michael J Meaney
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada; Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore; CIFAR, Toronto, ON, Canada
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Gladi Thng
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Holly Wing
- University of California, San Francisco, Center for Health and Community, San Francisco, CA, United States
| | - Nancy E Adler
- University of California, San Francisco, Department of Psychiatry and Pediatrics, San Francisco, CA, United States
| | - Victoria Keeton
- University of California, San Francisco, Family Health Care Nursing, School of Nursing, San Francisco, CA, United States
| | - Matthew S Pantell
- University of California, San Francisco, Department of Pediatrics, School of Medicine, San Francisco, CA, United States
| | - Danielle Hessler
- University of California, San Francisco, Department of Family and Community Medicine, San Francisco, CA, United States
| | - Laura M Gottlieb
- University of California, San Francisco, Department of Family and Community Medicine, San Francisco, CA, United States
| | - Patricia P Silveira
- Douglas Mental Health University Institute, Douglas Research Center, McGill University, Montreal, QC, Canada; Ludmer Centre for Neuroinformatics and Mental Health and Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.
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Morgunova A, Pokhvisneva I, Nolvi S, Entringer S, Wadhwa P, Gilmore J, Styner M, Buss C, Sassi RB, Hall GBC, O'Donnell KJ, Meaney MJ, Silveira PP, Flores CA. DCC gene network in the prefrontal cortex is associated with total brain volume in childhood. J Psychiatry Neurosci 2021; 46:E154-E163. [PMID: 33206040 PMCID: PMC7955849 DOI: 10.1503/jpn.200081] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Genetic variation in the guidance cue DCC gene is linked to psychopathologies involving dysfunction in the prefrontal cortex. We created an expression-based polygenic risk score (ePRS) based on the DCC coexpression gene network in the prefrontal cortex, hypothesizing that it would be associated with individual differences in total brain volume. METHODS We filtered single nucleotide polymorphisms (SNPs) from genes coexpressed with DCC in the prefrontal cortex obtained from an adult postmortem donors database (BrainEAC) for genes enriched in children 1.5 to 11 years old (BrainSpan). The SNPs were weighted by their effect size in predicting gene expression in the prefrontal cortex, multiplied by their allele number based on an individual's genotype data, and then summarized into an ePRS. We evaluated associations between the DCC ePRS and total brain volume in children in 2 community-based cohorts: the Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) and University of California, Irvine (UCI) projects. For comparison, we calculated a conventional PRS based on a genome-wide association study of total brain volume. RESULTS Higher ePRS was associated with higher total brain volume in children 8 to 10 years old (β = 0.212, p = 0.043; n = 88). The conventional PRS at several different thresholds did not predict total brain volume in this cohort. A replication analysis in an independent cohort of newborns from the UCI study showed an association between the ePRS and newborn total brain volume (β = 0.101, p = 0.048; n = 80). The genes included in the ePRS demonstrated high levels of coexpression throughout the lifespan and are primarily involved in regulating cellular function. LIMITATIONS The relatively small sample size and age differences between the main and replication cohorts were limitations. CONCLUSION Our findings suggest that the DCC coexpression network in the prefrontal cortex is critically involved in whole brain development during the first decade of life. Genes comprising the ePRS are involved in gene translation control and cell adhesion, and their expression in the prefrontal cortex at different stages of life provides a snapshot of their dynamic recruitment.
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Affiliation(s)
- Alice Morgunova
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Irina Pokhvisneva
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Saara Nolvi
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Sonja Entringer
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Pathik Wadhwa
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - John Gilmore
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Martin Styner
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Claudia Buss
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Roberto Britto Sassi
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Geoffrey B C Hall
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Kieran J O'Donnell
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Michael J Meaney
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Patricia P Silveira
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
| | - Cecilia A Flores
- From the Integrated Program in Neuroscience (IPN), McGill University, Montréal, Que., Canada (Morgunova); the Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Que., Canada (O'Donnell, Meaney, Silveira, Flores); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que., Canada (Flores); the Douglas Research Centre, Montréal, Que., Canada (Morgunova, Flores, Silveira); the Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montréal, Que., Canada (Pokhvisneva, O'Donnell, Meaney, Silveira); the Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ont., Canada (O'Donnell, Meaney); the Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR; Meaney); the Department of Medical Psychology Charité Universitätsmedizin, Berlin, Germany (Nolvi, Buss); the FinnBrain Birth Cohort Study, Department of Clinical Medicine, University of Turku, Turku, Finland (Nolvi); the Development, Health and Disease Research Program, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, USA (Entringer, Wadhwa); the Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Berlin, Germany (Entringer); the Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Epidemiology, School of Medicine, University of California, Irvine, CA, USA (Wadhwa); the Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Gilmore, Styner); the Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (Styner); the Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ont., Canada (Sassi); and the Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ont., Canada (Hall)
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McEwen LM, O'Donnell KJ, McGill MG, Edgar RD, Jones MJ, MacIsaac JL, Lin DTS, Ramadori K, Morin A, Gladish N, Garg E, Unternaehrer E, Pokhvisneva I, Karnani N, Kee MZL, Klengel T, Adler NE, Barr RG, Letourneau N, Giesbrecht GF, Reynolds JN, Czamara D, Armstrong JM, Essex MJ, de Weerth C, Beijers R, Tollenaar MS, Bradley B, Jovanovic T, Ressler KJ, Steiner M, Entringer S, Wadhwa PD, Buss C, Bush NR, Binder EB, Boyce WT, Meaney MJ, Horvath S, Kobor MS. The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells. Proc Natl Acad Sci U S A 2020; 117:23329-23335. [PMID: 31611402 PMCID: PMC7519312 DOI: 10.1073/pnas.1820843116] [Citation(s) in RCA: 110] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The development of biological markers of aging has primarily focused on adult samples. Epigenetic clocks are a promising tool for measuring biological age that show impressive accuracy across most tissues and age ranges. In adults, deviations from the DNA methylation (DNAm) age prediction are correlated with several age-related phenotypes, such as mortality and frailty. In children, however, fewer such associations have been made, possibly because DNAm changes are more dynamic in pediatric populations as compared to adults. To address this gap, we aimed to develop a highly accurate, noninvasive, biological measure of age specific to pediatric samples using buccal epithelial cell DNAm. We gathered 1,721 genome-wide DNAm profiles from 11 different cohorts of typically developing individuals aged 0 to 20 y old. Elastic net penalized regression was used to select 94 CpG sites from a training dataset (n = 1,032), with performance assessed in a separate test dataset (n = 689). DNAm at these 94 CpG sites was highly predictive of age in the test cohort (median absolute error = 0.35 y). The Pediatric-Buccal-Epigenetic (PedBE) clock was characterized in additional cohorts, showcasing the accuracy in longitudinal data, the performance in nonbuccal tissues and adult age ranges, and the association with obstetric outcomes. The PedBE tool for measuring biological age in children might help in understanding the environmental and contextual factors that shape the DNA methylome during child development, and how it, in turn, might relate to child health and disease.
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Affiliation(s)
- Lisa M McEwen
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Kieran J O'Donnell
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
| | - Megan G McGill
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
| | - Rachel D Edgar
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Meaghan J Jones
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Julia L MacIsaac
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - David Tse Shen Lin
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Katia Ramadori
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Alexander Morin
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Nicole Gladish
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4
| | - Elika Garg
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
| | - Eva Unternaehrer
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
| | - Irina Pokhvisneva
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR); Singapore 117609
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR); Singapore 117609
| | - Torsten Klengel
- Department of Psychiatry, Harvard Medical School-McLean Hospital, Belmont, MA 02478
| | - Nancy E Adler
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
- Department of Psychiatry, University of California, San Francisco, CA 94143
- Department of Pediatrics, University of California, San Francisco, CA 94143
| | - Ronald G Barr
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
- Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada V6T 1Z4
| | - Nicole Letourneau
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada T2N 4N1
- Faculty of Nursing, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - Gerald F Giesbrecht
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada T2N 4N1
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - James N Reynolds
- Department of Biomedical and Molecular Sciences, School of Medicine, Queen's University, Kingston, ON, Canada K7L 3N6
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Jeffrey M Armstrong
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53706
| | - Marilyn J Essex
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI 53706
| | - Carolina de Weerth
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 6525 HR, Nijmegen, The Netherlands
| | - Roseriet Beijers
- Behavioural Science Institute, Radboud University, 6525 HR, Nijmegen, The Netherlands
| | - Marieke S Tollenaar
- Leiden Institute for Brain and Cognition, Institute of Psychology, Leiden University, 2300 RB, Leiden, The Netherlands
| | - Bekh Bradley
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School-McLean Hospital, Belmont, MA 02478
| | - Meir Steiner
- Department of Psychiatry and Behavioural Neurosciences, St. Joseph's Healthcare Hamilton, McMaster University, Hamilton, ON, Canada L8S 4L8
| | - Sonja Entringer
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, 10117 Berlin, Germany
- Development, Health, and Disease Research Program, University of California, Irvine, CA 92617
| | - Pathik D Wadhwa
- Development, Health, and Disease Research Program, University of California, Irvine, CA 92617
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, 92617
- Department of Obstetrics and Gynecology, School of Medicine, University of California, Irvine, CA, 92617
- Department of Epidemiology, School of Medicine, University of California, Irvine, CA, 92617
| | - Claudia Buss
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, 10117 Berlin, Germany
| | - Nicole R Bush
- Department of Psychiatry, University of California, San Francisco, CA 94143
| | - Elisabeth B Binder
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322
| | - W Thomas Boyce
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
- Department of Psychiatry, University of California, San Francisco, CA 94143
- Department of Pediatrics, University of California, San Francisco, CA 94143
| | - Michael J Meaney
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada H4H 1R3
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR); Singapore 117609
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095;
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA 90095
| | - Michael S Kobor
- Department of Medical Genetics, University of British Columbia-BC Children's Hospital Research Institute, Vancouver, BC, Canada V5Z 4H4;
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR) Institute, Toronto, ON, Canada M5G 1M1
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32
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Sobreira de Lima RM, Barth B, Arcego DM, Filho EJDM, Patel S, Wang Z, Pokhvisneva I, Sassi RB, Hall GBC, Bittencourt APSDV, Meaney MJ, Dalmaz C, Silveira PP. SUN-722 Liver Leptin Receptor Gene Network Moderates the Effects of Early Life Adversity on Anxiety and Depression Problems in Children and Adolescents. J Endocr Soc 2020. [PMCID: PMC7207967 DOI: 10.1210/jendso/bvaa046.1034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Abstract
Leptin is a hormone involved in the regulation of food intake, with receptors largely expressed centrally and peripherally, in structures like the hypothalamus and the liver. Beyond its well-known actions as an energy-balance regulator, leptin is linked to psychiatric disorders. Considering that the association between genetic and early environmental factors contributes to psychopathology, disruptions of leptin signaling could be a key mechanism in this interaction. To investigate this possibility, we created an expression-based polygenic risk score (ePRS) reflecting variations in the function of the LepR gene network in the liver and hypothalamus, and investigated its interaction with postnatal adversity on Child Behavior Checklist in 4 years old children (main cohort: MAVAN, N=137) and 17 years old teenagers (Replication Cohort: ALSPAC, N=2630). There is an interaction effect between adversity exposure and liver-based LepR-ePRS, increasing depressive and anxiety problems on the MAVAN cohort (β=78.16, p=0.02, β=83.77, p=0.01). In ALSPAC, the results were replicated, showing an interaction between adversity exposure and liver-based LepR-ePRS, increasing the depression score and somatic symptoms (β=24.65, p=0.005; β=33.51, p=0.009). No significant interactions were found using the hypothalamus-based LepR-ePRS (p>0.05), suggesting specificity for the liver LepR gene network to predict these behavioral outcomes. A parallel-independent component analysis showed relationships between the SNPs from the liver ePRS-LepR and gray matter density in cortical areas involved in emotion regulation (middle frontal gyrus, inferior parietal lobule and anterior cingulate). Finally, the relationship between gene and MRI components in this analysis is moderated by the history of early life adversity exposure. Enrichment analysis of the liver LepR co-expression network shows that these genes are related to biological processes including regulation of glucose transport, cholesterol metabolism and cellular glucose homeostasis, which indicates possible underlying mechanisms linking peripheral metabolism-related gene expression and the development of emotional symptoms. Our data supports the hypothesis that exposure to early adversity affects emotional behavior, and the liver LepR gene network is an important moderator of these effects. Further studies on development of emotional symptoms should consider metabolic markers to understand these complex phenotypes.
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Affiliation(s)
| | | | | | | | - Sachin Patel
- Ludmer Centre for Neuroinformatics and Mental Health Douglas Hospital Research Centre, McGill University, Montreal, QC, Canada
| | - Zihan Wang
- Ludmer Centre for Neuroinformatics and Mental Health Douglas Hospital Research Centre, McGill University, Montreal, QC, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health Douglas Hospital Research Centre, McGill University, Montreal, QC, Canada
| | - Roberto Britto Sassi
- Mood Disorders Program, Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Geoffrey B C Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | | | | | - Carla Dalmaz
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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33
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Arcego DM, O’Toole N, Buschdorf JP, Rayan NA, Barth B, Pokhvisneva I, Wang Z, Patel S, Filho EJDM, de Lima RMS, Dalmaz C, Silveira PP, Meaney MJ. MON-722 Cross-Species Glucocorticoid-Sensitive Posterior Dentate Gyrus Gene Network: Developing a Polygenic Score Associated to Susceptibility to Depression After Early Life Adversity Exposure in Humans. J Endocr Soc 2020. [PMCID: PMC7207636 DOI: 10.1210/jendso/bvaa046.1052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Exposure to stress during the life-course has consistently been associated with neuropsychological disorders, but the precise role of stress released glucocorticoids remains unclear in this context. We aimed at using hippocampal gene expression data from macaques to identify clusters of genes sensible to glucocorticoid exposure and create a biologically relevant polygenic score to investigate emotional disorders in a child and adult humans exposed to early adversity. RNA-sequencing data from the posterior dentate gyrus (pDG) of adult Macaca fascicularis females treated with Betamethasone (glucocorticoid) or saline injections for 8 consecutive days were analyzed from two cohorts: Singapore (reference) and Vietnam (replication) with N=12/each. Weighted gene co-expression network analysis (WGCNA) was used to identify clusters (modules) of co-expressed genes associated with betamethasone. In Singaporean animals, genes were clustered in 52 modules, in which 5 were associated with betamethasone. Two modules were preserved in a replication dataset (Vietnam) and in data from female rats treated with corticosterone for 6 weeks, being the black module (557 genes, P=0.01, r=0.7) the one having the highest correlation with glucocorticoid exposure. Gene ontology analysis (FDR<0.05, Metacore®) revealed that this module is associated with transcription processes. The SNPs derived from genes within the module were used to calculate an expression-based polygenic risk score (ePRS) in the human samples, weighing each SNP by the slope of the association between genotype and gene expression (GTex). Linear regression analysis showed a significant interaction between ePRS and early adversity on the Dominique - major depressive disorder domain (β=1304; P=0.003; N=65) in girls aged 6 years (MAVAN), in which a higher ePRS was associated with more symptoms as the adversity scores increases (simple slope analysis,P=0.004). A comparable interaction between the ePRS and postnatal adversity was also observed in adult women (UK Biobank), in which there was an increased risk for early depression onset (β= -424.3, P=0.04; N=13899). In the adult cohort, whole brain gray matter volume was also associated with differences in the expression of the genes that composed the ePRS-black network (main ePRS effect, β=1865776, P=0.03, N=10902). Glucocorticoid exposure affects a specific group of genes in pDG of adult female macaques and rats, influencing transcriptional processes. Variations in the expression of this gene network sensible to glucocorticoids were associated with susceptibility for the development of depression in girls and adult women exposed to early life adversity. These show the importance of glucocorticoids on the development of depressive symptoms. The gene network affected by glucocorticoids can guide future pharmacological or mechanistic studies in other samples or species.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Carla Dalmaz
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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34
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de Lima RMS, Barth B, Arcego DM, de Mendonça Filho EJ, Clappison A, Patel S, Wang Z, Pokhvisneva I, Sassi RB, Hall GBC, Kobor MS, O'Donnell KJ, Bittencourt APSDV, Meaney MJ, Dalmaz C, Silveira PP. Amygdala 5-HTT Gene Network Moderates the Effects of Postnatal Adversity on Attention Problems: Anatomo-Functional Correlation and Epigenetic Changes. Front Neurosci 2020; 14:198. [PMID: 32256307 PMCID: PMC7093057 DOI: 10.3389/fnins.2020.00198] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 02/24/2020] [Indexed: 12/20/2022] Open
Abstract
Variations in serotoninergic signaling have been related to behavioral outcomes. Alterations in the genome, such as DNA methylation and histone modifications, are affected by serotonin neurotransmission. The amygdala is an important brain region involved in emotional responses and impulsivity, which receives serotoninergic input. In addition, studies suggest that the serotonin transporter gene network may interact with the environment and influence the risk for psychiatric disorders. We propose to investigate whether/how interactions between the exposure to early life adversity and serotonin transporter gene network in the amygdala associate with behavioral disorders. We constructed a co-expression-based polygenic risk score (ePRS) reflecting variations in the function of the serotonin transporter gene network in the amygdala and investigated its interaction with postnatal adversity on attention problems in two independent cohorts from Canada and Singapore. We also described how interactions between ePRS-5-HTT and postnatal adversity exposure predict brain gray matter density and variation in DNA methylation across the genome. We observed that the expression-based polygenic risk score, reflecting the function of the amygdala 5-HTT gene network, interacts with postnatal adversity, to predict attention and hyperactivity problems across both cohorts. Also, both postnatal adversity score and amygdala ePRS-5-HTT score, as well as their interaction, were observed to be associated with variation in DNA methylation across the genome. Variations in gray matter density in brain regions linked to attentional processes were also correlated to our ePRS score. These results confirm that the amygdala 5-HTT gene network is strongly associated with ADHD-related behaviors, brain cortical density, and epigenetic changes in the context of adversity in young children.
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Affiliation(s)
- Randriely Merscher Sobreira de Lima
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde (ICBS), Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Barbara Barth
- Integrated Program in Neuroscience (IPN), McGill University, Montreal, QC, Canada
| | - Danusa Mar Arcego
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Euclides José de Mendonça Filho
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.,Programa de Pós-Graduação em Psicologia, Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Andrew Clappison
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Montreal, QC, Canada
| | - Sachin Patel
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Montreal, QC, Canada
| | - Zihan Wang
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Montreal, QC, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Montreal, QC, Canada
| | - Roberto Britto Sassi
- Mood Disorders Program, Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Geoffrey B C Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, Vancouver, BC, Canada
| | - Kieran J O'Donnell
- Integrated Program in Neuroscience (IPN), McGill University, Montreal, QC, Canada.,Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Montreal, QC, Canada
| | | | - Michael J Meaney
- Integrated Program in Neuroscience (IPN), McGill University, Montreal, QC, Canada.,Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Montreal, QC, Canada.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Carla Dalmaz
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde (ICBS), Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Patrícia Pelufo Silveira
- Integrated Program in Neuroscience (IPN), McGill University, Montreal, QC, Canada.,Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Montreal, QC, Canada
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35
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Miguel PM, Pereira LO, Barth B, de Mendonça Filho EJ, Pokhvisneva I, Nguyen TTT, Garg E, Razzolini BR, Koh DXP, Gallant H, Sassi RB, Hall GBC, O'Donnell KJ, Meaney MJ, Silveira PP. Prefrontal Cortex Dopamine Transporter Gene Network Moderates the Effect of Perinatal Hypoxic-Ischemic Conditions on Cognitive Flexibility and Brain Gray Matter Density in Children. Biol Psychiatry 2019; 86:621-630. [PMID: 31142432 DOI: 10.1016/j.biopsych.2019.03.983] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 03/23/2019] [Accepted: 03/25/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Genetic polymorphisms of the dopamine transporter gene (DAT1) and perinatal complications associated with poor oxygenation are risk factors for attentional problems in childhood and may show interactive effects. METHODS We created a novel expression-based polygenic risk score (ePRS) reflecting variations in the function of the DAT1 gene network (ePRS-DAT1) in the prefrontal cortex and explored the effects of its interaction with perinatal hypoxic-ischemic-associated conditions on cognitive flexibility and brain gray matter density in healthy children from two birth cohorts-MAVAN from Canada (n = 139 boys and girls) and GUSTO from Singapore (n = 312 boys and girls). RESULTS A history of exposure to several perinatal hypoxic-ischemic-associated conditions was associated with impaired cognitive flexibility only in the high-ePRS group, suggesting that variation in the prefrontal cortex expression of genes involved in dopamine reuptake is associated with differences in this behavior. Interestingly, this result was observed in both ethnically distinct birth cohorts. Additionally, parallel independent component analysis (MAVAN cohort, n = 40 children) demonstrated relationships between single nucleotide polymorphism-based ePRS and gray matter density in areas involved in executive (cortical regions) and integrative (bilateral thalamus and putamen) functions, and these relationships differ in children from high and low exposure to hypoxic-ischemic-associated conditions. CONCLUSIONS These findings reveal that the impact of conditions associated with hypoxia-ischemia on brain development and executive functions is moderated by genotypes associated with dopamine signaling in the prefrontal cortex. We discuss the potential impact of innovative genomic and environmental measures for the identification of children at high risk for impaired executive functions.
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Affiliation(s)
- Patrícia Maidana Miguel
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Departamento de Ciências Morfológicas, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Lenir Orlandi Pereira
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Departamento de Ciências Morfológicas, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Barbara Barth
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montréal, Quebec, Canada
| | - Euclides José de Mendonça Filho
- Programa de Pós-Graduação em Psicologia, Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada
| | - Thao T T Nguyen
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada
| | - Elika Garg
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada
| | - Bruna Regis Razzolini
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montréal, Quebec, Canada
| | - Dawn Xin Ping Koh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Heather Gallant
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
| | - Roberto Britto Sassi
- Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Geoffrey B C Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
| | - Kieran John O'Donnell
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Quebec, Canada
| | - Michael J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montréal, Quebec, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Quebec, Canada; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
| | - Patrícia Pelufo Silveira
- Programa de Pós-Graduação em Neurociências, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montréal, Quebec, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montréal, Quebec, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montréal, Quebec, Canada.
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Laganière C, Gaudreau H, Bouvette-Turcot AA, Pokhvisneva I, Steiner M, Meaney M, Pennestri MH. 0813 Increased Sleep Fragmentation and Emotional-Behavioral Problems in Toddlers Presenting Sleep Terrors. Sleep 2019. [DOI: 10.1093/sleep/zsz067.811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
| | - Hélène Gaudreau
- Douglas Mental Health University Institute, Montréal, QC, Canada
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Hari Dass SA, McCracken K, Pokhvisneva I, Chen LM, Garg E, Nguyen TTT, Wang Z, Barth B, Yaqubi M, McEwen LM, MacIsaac JL, Diorio J, Kobor MS, O'Donnell KJ, Meaney MJ, Silveira PP. A biologically-informed polygenic score identifies endophenotypes and clinical conditions associated with the insulin receptor function on specific brain regions. EBioMedicine 2019; 42:188-202. [PMID: 30922963 PMCID: PMC6491717 DOI: 10.1016/j.ebiom.2019.03.051] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 03/18/2019] [Accepted: 03/19/2019] [Indexed: 12/28/2022] Open
Abstract
Background Activation of brain insulin receptors modulates reward sensitivity, inhibitory control and memory. Variations in the functioning of this mechanism likely associate with individual differences in the risk for related mental disorders (attention deficit hyperactivity disorder or ADHD, addiction, dementia), in agreement with the high co-morbidity between insulin resistance and psychopathology. These neurobiological mechanisms can be explored using genetic studies. We propose a novel, biologically informed genetic score reflecting the mesocorticolimbic and hippocampal insulin receptor-related gene networks, and investigate if it predicts endophenotypes (impulsivity, cognitive ability) in community samples of children, and psychopathology (addiction, dementia) in adults. Methods Lists of genes co-expressed with the insulin receptor in the mesocorticolimbic system or hippocampus were created. SNPs from these genes (post-clumping) were compiled in a polygenic score using the association betas described in a conventional GWAS (ADHD in the mesocorticolimbic score and Alzheimer in the hippocampal score). Across multiple samples (n = 4502), the biologically informed, mesocorticolimbic or hippocampal specific insulin receptor polygenic scores were calculated, and their ability to predict impulsivity, risk for addiction, cognitive performance and presence of Alzheimer's disease was investigated. Findings The biologically-informed ePRS-IR score showed better prediction of child impulsivity and cognitive performance, as well as risk for addiction and Alzheimer's disease in comparison to conventional polygenic scores for ADHD, addiction and dementia. Interpretation This novel, biologically-informed approach enables the use of genomic datasets to probe relevant biological processes involved in neural function and disorders. Fund Toxic Stress Research network of the JPB Foundation, Jacobs Foundation (Switzerland), Sackler Foundation.
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Affiliation(s)
- Shantala A Hari Dass
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Kathryn McCracken
- John Abbott College, Sainte-Anne-de-Bellevue, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Irina Pokhvisneva
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Lawrence M Chen
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Elika Garg
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Thao T T Nguyen
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Zihan Wang
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Barbara Barth
- McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Moein Yaqubi
- McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Lisa M McEwen
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, 938 West 28th Avenue, Vancouver, BC V5Z 4H4, Canada
| | - Julie L MacIsaac
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, 938 West 28th Avenue, Vancouver, BC V5Z 4H4, Canada
| | - Josie Diorio
- Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, 938 West 28th Avenue, Vancouver, BC V5Z 4H4, Canada
| | - Kieran J O'Donnell
- Department of Psychiatry, Faculty of Medicine, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Michael J Meaney
- Department of Psychiatry, Faculty of Medicine, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, 117609, Singapore
| | - Patricia P Silveira
- Department of Psychiatry, Faculty of Medicine, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada; Sackler Institute for Epigenetics & Psychobiology, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada.
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Pennestri MH, Laganière C, Bouvette-Turcot AA, Pokhvisneva I, Steiner M, Meaney MJ, Gaudreau H. Uninterrupted Infant Sleep, Development, and Maternal Mood. Pediatrics 2018; 142:peds.2017-4330. [PMID: 30420470 DOI: 10.1542/peds.2017-4330] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/10/2018] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES Contrary to the importance of total sleep duration, the association between sleeping through the night and development in early infancy remains unclear. Our aims were to investigate the proportion of infants who sleep through the night (6- or 8-hour sleep blocks) at ages 6 and 12 months in a longitudinal cohort and to explore associations between sleeping through the night, mental and psychomotor development, maternal mood, and breastfeeding. METHODS At 6 and 12 months of age, maternal reports were used to assess the longest period of uninterrupted infant sleep and feeding method (n = 388). Two different criteria were used to determine if infants slept through the night: 6 and 8 hours of uninterrupted sleep. Mental and psychomotor developmental indices (Bayley Scales of Infant Development II) and maternal mood (Center for Epidemiologic Studies Depression Scale) were measured at 6, 12, and 36 months of age. RESULTS Using a definition of either 6 or 8 hours of uninterrupted sleep, we found that 27.9% to 57.0% of 6- and 12-month-old infants did not sleep through the night. Linear regressions revealed no significant associations between sleeping through the night and concurrent or later mental development, psychomotor development, or maternal mood (P > .05). However, sleeping through the night was associated with a much lower rate of breastfeeding (P < .0001). CONCLUSIONS Considering that high proportions of infants did not sleep through the night and that no associations were found between uninterrupted sleep, mental or psychomotor development, and maternal mood, expectations for early sleep consolidation could be moderated.
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Affiliation(s)
- Marie-Hélène Pennestri
- Department of Educational and Counselling Psychology and .,Hôpital en Santé Mentale Rivière-des-Prairies, Centre intégré universitaire de santé et de services sociaux du Nord-de-I'lle-de-Montréal, Montreal, Canada
| | - Christine Laganière
- Department of Educational and Counselling Psychology and.,Hôpital en Santé Mentale Rivière-des-Prairies, Centre intégré universitaire de santé et de services sociaux du Nord-de-I'lle-de-Montréal, Montreal, Canada.,Ludmer Center for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Andrée-Anne Bouvette-Turcot
- Ludmer Center for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Irina Pokhvisneva
- Ludmer Center for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Meir Steiner
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, Canada; and
| | - Michael J Meaney
- Ludmer Center for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Canada.,Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - Hélène Gaudreau
- Ludmer Center for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Canada
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Silveira PP, Pokhvisneva I, Gaudreau H, Rifkin-Graboi A, Broekman BFP, Steiner M, Levitan R, Parent C, Diorio J, Meaney MJ. Birth weight and catch up growth are associated with childhood impulsivity in two independent cohorts. Sci Rep 2018; 8:13705. [PMID: 30209275 PMCID: PMC6135839 DOI: 10.1038/s41598-018-31816-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 08/28/2018] [Indexed: 02/07/2023] Open
Abstract
Individuals born after intrauterine growth restriction (IUGR) are more impulsive towards palatable foods, but it is not clear 1) if IUGR-related impulsivity is specific for foods and solely based on response inhibition and 2) if the development of impulsivity is due to being born IUGR per se or to growing up fast in the first few years of life (catch up growth). Children were classified in the IUGR group if the birth weight ratio was below 0.85. Delta z score for BMI was used as a measure of catch up growth. In MAVAN (N = 274), impulsivity was measured by the Information Sampling Task from the Cambridge Neuropsychological Test Automated Battery (IST - CANTAB), and in GUSTO using the Sticker Delay Task (N = 327). There is a significant effect of interaction between being born IUGR and the magnitude of catch up growth on the reflection impulsivity from IST-CANTAB at 60 months, in which greater catch up growth associates with greater impulsivity in the IST fixed condition in IUGR children. The finding was reproduced in children from the GUSTO cohort using the Sticker Delay Task. We confirmed that catch up growth interacts with IUGR, having a major role in the development of impulsivity in the first years of life and influencing inhibitory control and decision making processes.
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Affiliation(s)
- Patrícia P Silveira
- Department of Psychiatry, McGill University & Sackler Institute for Epigenetics & Psychobiology at McGill University, Montreal, Quebec, Canada.
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, H4H 1R3, Canada.
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, H4H 1R3, Canada
| | - Hélène Gaudreau
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, H4H 1R3, Canada
| | - Anne Rifkin-Graboi
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Birit F P Broekman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Meir Steiner
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, L8N 3K7, Canada
| | - Robert Levitan
- Department of Psychiatry, University of Toronto and Centre for Addiction and Mental Health, Toronto, Ontario, M5T 1R8, Canada
| | - Carine Parent
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, H4H 1R3, Canada
| | - Josie Diorio
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, H4H 1R3, Canada
| | - Michael J Meaney
- Department of Psychiatry, McGill University & Sackler Institute for Epigenetics & Psychobiology at McGill University, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, H4H 1R3, Canada
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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Chen LM, Yao N, Garg E, Zhu Y, Nguyen TTT, Pokhvisneva I, Hari Dass SA, Unternaehrer E, Gaudreau H, Forest M, McEwen LM, MacIsaac JL, Kobor MS, Greenwood CMT, Silveira PP, Meaney MJ, O’Donnell KJ. PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores. BMC Bioinformatics 2018; 19:295. [PMID: 30089455 PMCID: PMC6083617 DOI: 10.1186/s12859-018-2289-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 07/18/2018] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Polygenic risk scores (PRS) describe the genomic contribution to complex phenotypes and consistently account for a larger proportion of variance in outcome than single nucleotide polymorphisms (SNPs) alone. However, there is little consensus on the optimal data input for generating PRS, and existing approaches largely preclude the use of imputed posterior probabilities and strand-ambiguous SNPs i.e., A/T or C/G polymorphisms. Our ability to predict complex traits that arise from the additive effects of a large number of SNPs would likely benefit from a more inclusive approach. RESULTS We developed PRS-on-Spark (PRSoS), a software implemented in Apache Spark and Python that accommodates different data inputs and strand-ambiguous SNPs to calculate PRS. We compared performance between PRSoS and an existing software (PRSice v1.25) for generating PRS for major depressive disorder using a community cohort (N = 264). We found PRSoS to perform faster than PRSice v1.25 when PRS were generated for a large number of SNPs (~ 17 million SNPs; t = 42.865, p = 5.43E-04). We also show that the use of imputed posterior probabilities and the inclusion of strand-ambiguous SNPs increase the proportion of variance explained by a PRS for major depressive disorder (from 4.3% to 4.8%). CONCLUSIONS PRSoS provides the user with the ability to generate PRS using an inclusive and efficient approach that considers a larger number of SNPs than conventional approaches. We show that a PRS for major depressive disorder that includes strand-ambiguous SNPs, calculated using PRSoS, accounts for the largest proportion of variance in symptoms of depression in a community cohort, demonstrating the utility of this approach. The availability of this software will help users develop more informative PRS for a variety of complex phenotypes.
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Affiliation(s)
- Lawrence M. Chen
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Nelson Yao
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Elika Garg
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Yuecai Zhu
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Thao T. T. Nguyen
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Irina Pokhvisneva
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Shantala A. Hari Dass
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Eva Unternaehrer
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Hélène Gaudreau
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
| | - Marie Forest
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Lisa M. McEwen
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC Canada
| | - Julia L. MacIsaac
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC Canada
| | - Michael S. Kobor
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC Canada
| | - Celia M. T. Greenwood
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec Canada
- Department of Oncology, McGill University, Montreal, Quebec, Canada
| | - Patricia P. Silveira
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Sackler Program for Epigenetics & Psychobiology, McGill University, Montreal, Quebec, Canada
| | - Michael J. Meaney
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Sackler Program for Epigenetics & Psychobiology, McGill University, Montreal, Quebec, Canada
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, ON Canada
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kieran J. O’Donnell
- Douglas Hospital Research Centre, McGill University, H4H1R3, Montreal, Quebec, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Montreal, QC Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Sackler Program for Epigenetics & Psychobiology, McGill University, Montreal, Quebec, Canada
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, ON Canada
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Laganière C, Gaudreau H, Pokhvisneva I, Atkinson L, Meaney M, Pennestri MH. Maternal characteristics and behavioural/emotional problems in preschoolers: how they relate to sleep rhythmic movements at sleep onset. J Sleep Res 2018; 28:e12707. [PMID: 29873138 DOI: 10.1111/jsr.12707] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 03/27/2018] [Accepted: 04/10/2018] [Indexed: 11/27/2022]
Abstract
Sleep rhythmic movements have been speculated to be a form of self-soothing. While this sleep-related movement has been associated with lower socioeconomic status, psychopathologies and maternal characteristics, prospective studies with sizeable sample and objective measurements are lacking. The objectives were: (a) to identify maternal characteristics predicting sleep rhythmic movements in children; and (b) to document behavioural/emotional problems in preschoolers with sleep rhythmic movements. Participants were mother-child dyads (N = 529) from the Adversity: Maternal Adversity, Vulnerability and Neurodevelopment cohort. Questionnaires evaluating socioeconomic status (prenatal), maternal depressive symptoms (prenatal, 48 months), sleep rhythmic movements (12, 18, 24, 36, 48 months), maternal anxiety trait (24 months) and children's behavioural/emotional problems (48 months) were used. Maternal sensitivity (accuracy and appropriateness of mother's responses to her baby's needs) was assessed objectively with a filmed mother-infant interaction (6 months). Generalized estimating equation was used to investigate associations between sleep rhythmic movements and maternal characteristics (depression, anxiety and sensitivity). Linear regressions were used to assess associations between sleep rhythmic movements and behavioural/emotional problems in children. Lower maternal sensitivity, higher maternal depressive symptoms and lower socioeconomic status predicted sleep rhythmic movements in children (p < 0.05). To our knowledge, this is the first study showing that sleep rhythmic movements are associated with lower maternal sensitivity, measured objectively. This study also builds on previous reports, by documenting an association between sleep rhythmic movements and behavioural/emotional problems even in preschoolers. The presence of psychosocial factors in sleep rhythmic movements aetiology should be considered in treatment.
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Affiliation(s)
- Christine Laganière
- Department of Educational and Counselling Psychology, McGill University, Montreal, QC, Canada.,Douglas Mental Health University Institute, Montreal, QC, Canada.,Sleep Laboratory, CIUSSS du Nord-de-l'Ile-de-Montréal, Hôpital en santé mentale Rivière-des-Prairies, Montreal, QC, Canada
| | - Hélène Gaudreau
- Douglas Mental Health University Institute, Montreal, QC, Canada
| | | | - Leslie Atkinson
- Department of Psychology, Ryerson University, Toronto, ON, Canada
| | - Michael Meaney
- Department of Educational and Counselling Psychology, McGill University, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Marie-Hélène Pennestri
- Department of Educational and Counselling Psychology, McGill University, Montreal, QC, Canada.,Sleep Laboratory, CIUSSS du Nord-de-l'Ile-de-Montréal, Hôpital en santé mentale Rivière-des-Prairies, Montreal, QC, Canada
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Parent C, Pokhvisneva I, Gaudreau H, Diorio J, Meaney MJ, Silveira PP. Community study found that cutaneous allergies in childhood were associated with conduct problems in girls. Acta Paediatr 2018; 107:900-901. [PMID: 29364555 DOI: 10.1111/apa.14235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Carine Parent
- Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) Research Team; Douglas Mental Health University Institute; McGill University; Montreal QC Canada
| | - Irina Pokhvisneva
- Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) Research Team; Douglas Mental Health University Institute; McGill University; Montreal QC Canada
| | - Hélène Gaudreau
- Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) Research Team; Douglas Mental Health University Institute; McGill University; Montreal QC Canada
| | - Josie Diorio
- Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) Research Team; Douglas Mental Health University Institute; McGill University; Montreal QC Canada
| | - Michael J. Meaney
- Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) Research Team; Douglas Mental Health University Institute; McGill University; Montreal QC Canada
- Department of Psychiatry; McGill University; Montreal QC Canada
- Department of Neurology and Neurosurgery; McGill University; Montreal QC Canada
- Singapore Institute for Clinical Sciences; Singapore City Singapore
| | - Patricia P. Silveira
- Maternal Adversity, Vulnerability and Neurodevelopment (MAVAN) Research Team; Douglas Mental Health University Institute; McGill University; Montreal QC Canada
- Department of Psychiatry; McGill University; Montreal QC Canada
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Laganière C, Gaudreau H, Pokhvisneva I, Atkinson L, Meaney M, Pennestri M. 0789 Sleepwalking and Sleeptalking in Children: Associations with Emotional/Behavioral Problems and Sleep Quality. Sleep 2018. [DOI: 10.1093/sleep/zsy061.788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- C Laganière
- McGill University, Montreal, QC, CANADA
- Douglas Mental Health University Institute, Montreal, QC, CANADA
- Hôpital en Santé Mentale Rivière-des-Prairies, Montreal, QC, CANADA
| | - H Gaudreau
- Douglas Mental Health University Institute, Montreal, QC, CANADA
| | - I Pokhvisneva
- Douglas Mental Health University Institute, Montreal, QC, CANADA
| | | | - M Meaney
- Douglas Mental Health University Institute, Montreal, QC, CANADA
- McGill University, Montreal, QC, CANADA
| | - M Pennestri
- McGill University, Montreal, QC, CANADA
- Hôpital en Santé Mentale Rivière-des-Prairies, Montreal, QC, CANADA
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Pokhvisneva I, Léger É, Meaney MJ, Silveira PP. Systematic Overestimation of Reflection Impulsivity in the Information Sampling Task: Age Dependency in Children. Biol Psychiatry 2018; 83:e33-e34. [PMID: 28189253 DOI: 10.1016/j.biopsych.2016.12.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 12/01/2016] [Indexed: 10/20/2022]
Affiliation(s)
- Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Canada; Sackler Program for Epigenetics & Psychobiology, McGill University, Montreal, Canada
| | - Étienne Léger
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Canada; Sackler Program for Epigenetics & Psychobiology, McGill University, Montreal, Canada
| | - Michael J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Canada; Sackler Program for Epigenetics & Psychobiology, McGill University, Montreal, Canada
| | - Patrícia Pelufo Silveira
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Canada; Sackler Program for Epigenetics & Psychobiology, McGill University, Montreal, Canada.
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Silveira PP, Pokhvisneva I, Gaudreau H, Atkinson L, Fleming AS, Sokolowski MB, Steiner M, Kennedy JL, Dubé L, Levitan RD, Meaney MJ. Fetal growth interacts with multilocus genetic score reflecting dopamine signaling capacity to predict spontaneous sugar intake in children. Appetite 2018; 120:596-601. [DOI: 10.1016/j.appet.2017.10.021] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 10/05/2017] [Accepted: 10/12/2017] [Indexed: 01/25/2023]
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Bischoff AR, Pokhvisneva I, Léger É, Gaudreau H, Steiner M, Kennedy JL, O’Donnell KJ, Diorio J, Meaney MJ, Silveira PP. Dynamic interaction between fetal adversity and a genetic score reflecting dopamine function on developmental outcomes at 36 months. PLoS One 2017; 12:e0177344. [PMID: 28505190 PMCID: PMC5432105 DOI: 10.1371/journal.pone.0177344] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 04/26/2017] [Indexed: 12/27/2022] Open
Abstract
Background Fetal adversity, evidenced by poor fetal growth for instance, is associated with increased risk for several diseases later in life. Classical cut-offs to characterize small (SGA) and large for gestational age (LGA) newborns are used to define long term vulnerability. We aimed at exploring the possible dynamism of different birth weight cut-offs in defining vulnerability in developmental outcomes (through the Bayley Scales of Infant and Toddler Development), using the example of a gene vs. fetal adversity interaction considering gene choices based on functional relevance to the studied outcome. Methods 36-month-old children from an established prospective birth cohort (Maternal Adversity, Vulnerability, and Neurodevelopment) were classified according to birth weight ratio (BWR) (SGA ≤0.85, LGA >1.15, exploring a wide range of other cut-offs) and genotyped for polymorphisms associated with dopamine signaling (TaqIA-A1 allele, DRD2-141C Ins/Ins, DRD4 7-repeat, DAT1-10- repeat, Met/Met-COMT), composing a score based on the described function, in which hypofunctional variants received lower scores. Results There were 251 children (123 girls and 128 boys). Using the classic cut-offs (0.85 and 1.15), there were no statistically significant interactions between the neonatal groups and the dopamine genetic score. However, when changing the cut-offs, it is possible to see ranges of BWR that could be associated with vulnerability to poorer development according to the variation in the dopamine function. Conclusion The classic birth weight cut-offs to define SGA and LGA newborns should be seen with caution, as depending on the outcome in question, the protocols for long-term follow up could be either too inclusive—therefore most costly, or unable to screen true vulnerabilities—and therefore ineffective to establish early interventions and primary prevention.
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Affiliation(s)
- Adrianne R. Bischoff
- Department of Pediatrics, Division of Neonatology, University of Toronto and the Hospital for Sick Children, Toronto, Ontario, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Mental Health University Institute, Montreal, Quèbec, Canada
| | - Étienne Léger
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Mental Health University Institute, Montreal, Quèbec, Canada
| | - Hélène Gaudreau
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Mental Health University Institute, Montreal, Quèbec, Canada
| | - Meir Steiner
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - James L. Kennedy
- Department of Psychiatry, University of Toronto and Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Kieran J. O’Donnell
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Mental Health University Institute, Montreal, Quèbec, Canada
- Child and Brain Development Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ontario, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Josie Diorio
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Mental Health University Institute, Montreal, Quèbec, Canada
| | - Michael J. Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Mental Health University Institute, Montreal, Quèbec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Patrícia P. Silveira
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Douglas Mental Health University Institute, Montreal, Quèbec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- * E-mail:
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Laganière C, Gaudreau H, Pokhvisneva I, Atkinson L, Meaney M, Pennestri M. 0945 SLEEP RHYTHMIC MOVEMENTS IN CHILDHOOD: ASSOCIATED BEHAVIORAL, PSYCHOLOGICAL AND MATERNAL CHARACTERISTICS. Sleep 2017. [DOI: 10.1093/sleepj/zsx050.944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Bouvette-Turcot AA, Pluess M, Bernier A, Pennestri MH, Levitan R, Sokolowski MB, Kennedy JL, Minde K, Steiner M, Pokhvisneva I, Meaney MJ, Gaudreau H. Effects of Genotype and Sleep on Temperament. Pediatrics 2015; 136:e914-21. [PMID: 26371199 DOI: 10.1542/peds.2015-0080] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/16/2015] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Sleep problems are frequent in young children; however, children vary in the degree to which they are affected by poor sleep quality. We investigated whether a polymorphism in the serotonin transporter gene, which is linked to emotional function, is a potential moderator of the influences of sleep duration on infant temperament using longitudinal data. METHODS We examined the interactive effects of average sleep duration between 6 and 36 months of age and the 5-HTTLPR genotype on negative emotionality/behavioral dysregulation at 36 months in 209 children recruited into a longitudinal birth cohort study. Triallelic genotyping of 5-HTTLPR was performed by looking at SLC6A4 genotype, focusing on the serotonin transporter-linked polymorphic region (5-HTTLPR) including the SNP polymorphism (rs23351). Child sleep habits were assessed with a maternal self-report questionnaire. RESULTS After controlling for demographics and both previous and concurrent maternal depression, multiple linear regression analyses revealed a significant interaction effect of average sleep duration for the first 3 years of life and 5-HTTLPR genotype on child negative emotionality/behavioral dysregulation such that the effects were exclusive to those with low-expressing 5-HTTLPR genotypes. CONCLUSIONS The results suggest differential susceptibility to the effect of sleep duration early in life, which reiterates that the short allele of the 5-HTTLPR represents a marker of increased environmental sensitivity regarding emotional development. Differential susceptibility theory posits that certain factors may increase an individual's susceptibility to the environment, in either a positive or negative fashion.
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Affiliation(s)
- Andrée-Anne Bouvette-Turcot
- Ludmer Center for Neuroinformatics and Mental Health, and Douglas Mental Health University Institute, McGill University, Montreal Canada; Department of Psychology, University of Montreal, Montreal, Canada;
| | | | - Annie Bernier
- Department of Psychology, University of Montreal, Montreal, Canada
| | - Marie-Hélène Pennestri
- Ludmer Center for Neuroinformatics and Mental Health, and Douglas Mental Health University Institute, McGill University, Montreal Canada
| | | | - Marla B Sokolowski
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Canada
| | | | - Klaus Minde
- Douglas Mental Health University Institute, McGill University, Montreal Canada
| | - Meir Steiner
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, Canada; Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, Canada; and
| | - Irina Pokhvisneva
- Ludmer Center for Neuroinformatics and Mental Health, and Douglas Mental Health University Institute, McGill University, Montreal Canada
| | - Michael J Meaney
- Ludmer Center for Neuroinformatics and Mental Health, and Douglas Mental Health University Institute, McGill University, Montreal Canada; Singapore Institute for Clinical Sciences, Singapore
| | - Hélène Gaudreau
- Ludmer Center for Neuroinformatics and Mental Health, and Douglas Mental Health University Institute, McGill University, Montreal Canada
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