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Chan SY, Low XZ, Ngoh ZM, Ong ZY, Kee MZL, Huang P, Kumar S, Rifkin-Graboi A, Chong YS, Chen H, Tan KH, Chan JKY, Fortier MV, Gluckman PD, Zhou JH, Meaney MJ, Tan AP. Neonatal Nucleus Accumbens Microstructure Modulates Individual Susceptibility to Preconception Maternal Stress in Relation to Externalizing Behaviors. J Am Acad Child Adolesc Psychiatry 2024:S0890-8567(24)00071-6. [PMID: 38423282 DOI: 10.1016/j.jaac.2023.12.011] [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: 03/16/2023] [Revised: 11/20/2023] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
Abstract
OBJECTIVE Maternal stress influences in utero brain development and is a modifiable risk factor for offspring psychopathologies. Reward circuitry dysfunction underlies various internalizing and externalizing psychopathologies. This study examined (1) the association between maternal stress and microstructural characteristics of the neonatal nucleus accumbens (NAcc), a major node of the reward circuitry, and (2) whether neonatal NAcc microstructure modulates individual susceptibility to maternal stress in relation to childhood behavioral problems. METHOD K-means longitudinal cluster analysis was performed to determine trajectories of maternal stress measures (Perceived Stress Scale [PSS], hair cortisol) from preconception to the third trimester. Neonatal NAcc microstructural measures (orientation density index [ODI] and intracellular volume fraction [ICVF]) were compared across trajectories. We then examined the interaction between maternal stress and neonatal NAcc microstructure on child internalizing and externalizing behaviors, assessed between ages 3 and 4 years. RESULTS Two trajectories of maternal stress magnitude ("low"/"high") were identified for both PSS (n = 287) and hair cortisol (n = 336). Right neonatal NAcc ODI (rNAcc-ODI) was significantly lower in "low" relative to "high" PSS trajectories (n = 77, p = .04). PSS at preconception had the strongest association with rNAcc-ODI (r = 0.293, p = .029). No differences in NAcc microstructure were found between hair cortisol trajectories. A significant interaction between preconception PSS and rNAcc-ODI on externalizing behavior was observed (n = 47, p = .047). CONCLUSION Our study showed that the preconception period contributes to in utero NAcc development, and that NAcc microstructure modulates individual susceptibility to preconception maternal stress in relation to externalizing problems.
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Affiliation(s)
- Shi Yu Chan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | - Xi Zhen Low
- National University Health System, Singapore, Singapore
| | - Zhen Ming Ngoh
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | - Zi Yan Ong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | - Pei Huang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | | | - Anne Rifkin-Graboi
- National Institute of Education, Nanyang Technological University, Singapore, Singapore
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore; National University Health System, Singapore, Singapore; National University of Singapore, Singapore, Singapore
| | - Helen Chen
- KK Women's and Children's Hospital, Duke-National University of Singapore, Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Duke-National University of Singapore, Singapore, Singapore
| | - Jerry K Y Chan
- KK Women's and Children's Hospital, Duke-National University of Singapore, Singapore, Singapore
| | - Marielle V Fortier
- KK Women's and Children's Hospital, Duke-National University of Singapore, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | | | - Michael J Meaney
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore; National University of Singapore, Singapore, Singapore; Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Ai Peng Tan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore; National University Health System, Singapore, Singapore; National University of Singapore, Singapore, Singapore.
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Huang P, Chan SY, Ngoh ZM, Ong ZY, Low XZ, Law EC, Gluckman PD, Kee MZL, Fortier MV, Chong YS, Zhou JH, Meaney MJ, Tan AP. Screen time, brain network development and socio-emotional competence in childhood: moderation of associations by parent-child reading. Psychol Med 2024:1-12. [PMID: 38314509 DOI: 10.1017/s0033291724000084] [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] [Indexed: 02/06/2024]
Abstract
BACKGROUND Screen time in infancy is linked to changes in social-emotional development but the pathway underlying this association remains unknown. We aim to provide mechanistic insights into this association using brain network topology and to examine the potential role of parent-child reading in mitigating the effects of screen time. METHODS We examined the association of screen time on brain network topology using linear regression analysis and tested if the network topology mediated the association between screen time and later socio-emotional competence. Lastly, we tested if parent-child reading time was a moderator of the link between screen time and brain network topology. RESULTS Infant screen time was significantly associated with the emotion processing-cognitive control network integration (p = 0.005). This network integration also significantly mediated the association between screen time and both measures of socio-emotional competence (BRIEF-2 Emotion Regulation Index, p = 0.04; SEARS total score, p = 0.04). Parent-child reading time significantly moderated the association between screen time and emotion processing-cognitive control network integration (β = -0.640, p = 0.005). CONCLUSION Our study identified emotion processing-cognitive control network integration as a plausible biological pathway linking screen time in infancy and later socio-emotional competence. We also provided novel evidence for the role of parent-child reading in moderating the association between screen time and topological brain restructuring in early childhood.
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Affiliation(s)
- Pei Huang
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
| | - Shi Yu Chan
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
| | - Zhen Ming Ngoh
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
| | - Zi Yan Ong
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
| | - Xi Zhen Low
- Department of Diagnostic Imaging, National University Health System, Singapore
| | - Evelyn C Law
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
- Department of Pediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
| | - Marielle V Fortier
- Department of Diagnostic & Interventional Imaging, KK Women's and Children's Hospital, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
- Department of Obstetrics & Gynecology, National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Juan H Zhou
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Psychiatry, Faculty of Medicine, Douglas Mental Health University Institute, McGill University, Montreal, Canada
- Brain - Body Initiative, Agency for Science and Technology (A*STAR), Singapore
| | - Ai Peng Tan
- Singapore Institute for Clinical Sciences, A*STAR Research Entities, Singapore
- Department of Diagnostic Imaging, National University Health System, Singapore
- Department of Obstetrics & Gynecology, National University Health System, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Brain - Body Initiative, Agency for Science and Technology (A*STAR), Singapore
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Huang J, Kee MZL, Law EC, Sum KK, Silveira PP, Godfrey KM, Daniel LM, Tan KH, Chong YS, Chan SY, Eriksson JG, Meaney MJ, Huang JY. Parental and child genetic burden of glycaemic dysregulation and early-life cognitive development: an Asian and European prospective cohort study. Transl Psychiatry 2024; 14:2. [PMID: 38177108 PMCID: PMC10766615 DOI: 10.1038/s41398-023-02694-x] [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: 09/27/2023] [Revised: 11/27/2023] [Accepted: 11/29/2023] [Indexed: 01/06/2024] Open
Abstract
Insulin resistance and glucose metabolism have been associated with neurodevelopmental disorders. However, in the metabolically more susceptible Asian populations, it is not clear whether the genetic burden of glycaemic dysregulation influences early-life neurodevelopment. In a multi-ethnic Asian prospective cohort study in Singapore (Growing Up in Singapore Towards healthy Outcomes (GUSTO)), we constructed child and parental polygenic risk scores (PRS) for glycaemic dysregulation based on the largest genome-wide association studies of type 2 diabetes and fasting glucose among Asians. We found that child PRS for HOMA-IR was associated with a lower perceptual reasoning score at ~7 years (β = -0. 141, p-value = 0.024, 95% CI -0. 264 to -0. 018) and a lower WIAT-III mean score at ~9 years (β = -0.222, p-value = 0.001, 95% CI -0.357 to -0.087). This association were consistent in direction among boys and girls. These inverse associations were not influenced by parental PRS and were likely mediated via insulin resistance rather than mediators such as birth weight and childhood body mass index. Higher paternal PRS for HOMA-IR was suggestively associated with lower child perceptual reasoning at ~7 years (β = -0.172, p-value = 0.002, 95% CI -0.280 to -0.064). Replication analysis in a European cohort, the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort, showed that higher child PRS for fasting glucose was associated with lower verbal IQ score while higher maternal PRS for insulin resistance was associated with lower performance IQ score in their children at ~8.5 years. In summary, our findings suggest that higher child PRS for HOMA-IR was associated with lower cognitive scores in both Asian and European replication cohorts. Differential findings between cohorts may be attributed to genetic and environmental factors. Further investigation of the functions of the genetic structure and ancestry-specific PRS and a more comprehensive investigation of behavioural mediators may help to understand these findings better.
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Affiliation(s)
- Jian Huang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK.
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Evelyn C Law
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Paediatrics, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, Singapore, Singapore
| | - Ka Kei Sum
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Patricia Pelufo Silveira
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Psychiatry, Faculty of Medicine and Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lourdes Mary Daniel
- Department of Child Development, KK Women's and Children's Hospital, Singapore, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Obstetrics & Gynaecology, National University Health System, Singapore, Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme, National University of Singapore, Singapore, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme, National University of Singapore, Singapore, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme, National University of Singapore, Singapore, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of general practice and primary health care, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Psychiatry, Faculty of Medicine and Ludmer Centre for Neuroinformatics and Mental Health, Douglas Hospital Research Centre, McGill University, Montreal, Quebec, Canada
- Brain-Body Initiative, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jonathan Yinhao Huang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore
- Thompson School of Social Work & Public Health, Office of Public Health Studies, University of Hawai'i at Mānoa, Honolulu, HI, USA
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Kee MZL, Cremaschi A, De Iorio M, Chen H, Montreuil T, Nguyen TV, Côté SM, O’Donnell KJ, Giesbrecht GF, Letourneau N, Chan SY, Meaney MJ. Perinatal Trajectories of Maternal Depressive Symptoms in Prospective, Community-Based Cohorts Across 3 Continents. JAMA Netw Open 2023; 6:e2339942. [PMID: 37883082 PMCID: PMC10603499 DOI: 10.1001/jamanetworkopen.2023.39942] [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: 06/13/2023] [Accepted: 09/13/2023] [Indexed: 10/27/2023] Open
Abstract
Importance Depressive symptoms during pregnancy influence the development and health of the offspring, underscoring the need for timely intervention. However, the course of depressive symptoms across the perinatal period remains unclear, thus complicating screening and referral guidelines. Objective To examine the course and stability of depressive symptoms across the perinatal period in multiple, ethnically diverse independent observational cohorts. Design, Setting, and Participants This cohort study included self-reported depressive symptoms at multiple time points from 7 prospective cohorts spanning 3 continents (United Kingdom: Avon Longitudinal Study of Parents and Children from 1991 to 1995; Canada: Maternal Adversity, Vulnerability and Neurodevelopment from 2003 to 2007; Montreal Antenatal Well-being Study from 2019 to 2022; Alberta Pregnancy Outcomes and Nutrition from 2009 to 2014; and Singapore: Growing Up in Singapore Toward Healthy Outcomes from 2009 to 2013; Singapore Preconception Study of Long-Term Maternal and Child Outcomes from 2015 to 2019; and Mapping Antenatal Maternal Stress from 2019 to 2022). Participants were recruited either during preconception or pregnancy and observed into the postnatal period. All data from each cohort were analyzed from July 2022 to April 2023. Main Outcomes and Measures Self-reported depressive symptoms from pregnancy to 2 years following childbirth using either the Edinburgh Postnatal Depression Scale or the Center for Epidemiological Studies Depression were analyzed independently within each cohort using item response theory (IRT) techniques. K-means clustering was used to identify groups of participants with similar trajectories. Results A total of 11 563 pregnant women (mean [SD] age, 29 [5] years; 569 [4.9%] East Asian women; 304 [2.6%] Southeast Asian women; 10 133 [87.6%] White women) self-reported depressive symptoms from pregnancy to 2 years following childbirth. Analytic methods from Item Response Theory identified 3 groups of mothers based on depressive symptoms: low, mild, and high levels in each of the 7 cohorts. Mothers within and across all cohorts had stable trajectories of maternal depressive symptoms from pregnancy onwards. Mothers with clinical levels of depressive symptoms likewise showed stable trajectories from pregnancy into the postnatal period. Conclusions and Relevance In this study, trajectories of depressive symptoms remained stable from pregnancy across the perinatal period, a finding that conflicts with a continuing emphasis on postpartum or postnatal onset of depression that persists in some health policy guidelines. Interventions and public health initiatives should focus on reducing depressive symptoms during pregnancy in addition to following birth.
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Affiliation(s)
- Michelle Z. L. Kee
- Translational Neuroscience, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Republic of Singapore
| | - Andrea Cremaschi
- Biostatistics, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Republic of Singapore
| | - Maria De Iorio
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Helen Chen
- Department of Psychological Medicine, KK Women’s and Children’s Hospital, Singapore, Republic of Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore, Republic of Singapore
| | - Tina Montreuil
- Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada
- Department of Pediatrics, McGill University, Montreal, Quebec, Canada
- Research Institute, McGill University Health Centre, Montreal, Quebec, Canada
| | - Tuong Vi Nguyen
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Sylvana M. Côté
- School of Public Health, University of Montreal, Montreal, Quebec, Canada
| | - Kieran J. O’Donnell
- Yale Child Study Center and Department of Obstetrics Gynecology and Reproductive Science, Yale School of Medicine, New Haven, Connecticut
- Child and Brain Development Program, Canadian Institute for Advanced Research, Ontario, Canada
| | - Gerald F. Giesbrecht
- Owerko Centre for Children’s Neurodevelopment and Mental Health, Departments of Pediatrics, Psychiatry and Community Health Sciences, Alberta Children’s Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Nicole Letourneau
- Departments of Pediatrics, Psychiatry and Community Health Sciences, Faculty of Nursing, and Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Shiao Yng Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
- Department of Obstetrics and Gynecology, National University Hospital, Singapore, Republic of Singapore
| | - Michael J. Meaney
- Translational Neuroscience, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Republic of Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
- Child and Brain Development Program, Canadian Institute for Advanced Research, Ontario, Canada
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
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5
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Sudo M, Won YQ, Chau WWY, Meaney MJ, Kee MZL, Chen H, Eriksson JG, Yap F, Rifkin-Graboi A, Tiemeier H, Setoh P. Physical discipline as a normative childhood experience in Singapore. Child Adolesc Psychiatry Ment Health 2023; 17:81. [PMID: 37386570 PMCID: PMC10311744 DOI: 10.1186/s13034-023-00632-9] [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: 12/07/2022] [Accepted: 06/21/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND The cultural normativeness theory posits that specific parenting behaviors can be interpreted as displays of appropriate parenting in contexts where they are deemed normative. Previous studies suggest high acceptance of physical discipline in Singapore, where strict parenting could be interpreted as care for the child. However, there is a lack of studies on the local prevalence and implications of physical discipline. This study aimed to investigate the prevalence of Singaporean children experiencing parental physical discipline, longitudinal changes in this prevalence, and how exposure to physical discipline relates to children's evaluation of their parents' parenting. METHODS Participants were 710 children with parental reports of physical discipline at one or more assessments at ages 4.5, 6, 9, and 11 years in the Growing Up in Singapore Towards healthy Outcomes birth cohort study. Parental reports of physical discipline were obtained using the Parenting Styles and Dimensions Questionnaire or the Alabama Parenting Questionnaire across the four assessments. Child reports of their parents' care and control were obtained using the Parental Bonding Instrument for Children at the age 9 assessment. Prevalence was specified as being exposed to at least one physical discipline at any frequency. A generalized linear mixed model was performed to examine whether children's age predicted their exposure to physical discipline. Linear regression analyses were conducted to investigate whether children's exposure to physical discipline predicted their evaluation of their parents' parenting. RESULTS The prevalence of children experiencing at least one physical discipline was above 80% at all ages. There was a decrease in this prevalence from age 4.5 to 11 years (B = - 0.14, SE = 0.01, OR = 0.87, p < 0.001). The more frequent the paternal physical discipline children were exposed to, the more likely they were to report lower levels of care (B = - 1.74, SE = 0.66, p = 0.03) and higher levels of denial of psychological autonomy by fathers (B = 1.05, SE = 0.45, p = 0.04). Maternal physical discipline was not significantly associated with children's evaluation of their mothers' parenting (ps ≥ 0.53). CONCLUSIONS Physical discipline was a common experience among our Singaporean sample, consistent with the notion that strict parenting could be regarded as a form of care. However, exposure to physical discipline did not translate to children reporting their parents as caring, with paternal physical discipline being negatively associated with children's evaluations of paternal care.
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Affiliation(s)
- Mioko Sudo
- Psychology Division, School of Social Sciences, Nanyang Technological University, 48 Nanyang Ave, Singapore, 639818, Singapore
| | - Ying Qing Won
- Psychology Division, School of Social Sciences, Nanyang Technological University, 48 Nanyang Ave, Singapore, 639818, Singapore
| | - Winnie W Y Chau
- Department of Psychology, National University of Singapore, 9 Arts Link, Singapore, 117570, Singapore
| | - Michael J Meaney
- Agency for Science, Technology and Research (ASTAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Sciences (SICS), Singapore, 117609, Singapore
- Sackler Program for Epigenetics & Psychobiology, Douglas Mental Health University Institute, McGill University, 6875 Boulevard LaSalle, Montréal, QC, H4H 1R3, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, 6875 Boulevard LaSalle, Montréal, QC, H4H 1R3, Canada
| | - Michelle Z L Kee
- Agency for Science, Technology and Research (ASTAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Sciences (SICS), Singapore, 117609, Singapore
| | - Helen Chen
- Department of Psychological Medicine, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore
- Duke-NUS Medical School, 8 College Rd, Singapore, 169857, Singapore
| | - Johan Gunnar Eriksson
- Agency for Science, Technology and Research (ASTAR), 30 Medical Drive, Brenner Centre for Molecular Medicine, Singapore Institute for Clinical Sciences (SICS), Singapore, 117609, Singapore
- Department of Obstetrics and Gynaecology, Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore, 117597, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore, 117597, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki, Tukholmankatu 8 B, 00290, Helsinki, Finland
- Public Health Research Program, Folkhälsan Research Center, Topeliuksenkatu 20, 00250, Helsinki, Finland
| | - Fabian Yap
- Department of Paediatrics, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore
- Academic Medicine Department, Duke-NUS Medical School, 8 College Rd, Singapore, 169857, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Dr, Singapore, 636921, Singapore
| | - Anne Rifkin-Graboi
- Centre for Research in Child Development, National Institute of Education, Nanyang Technological University, 1 Nanyang Walk, Singapore, 637616, Singapore
| | - Henning Tiemeier
- Department of Social and Behavioral Science, Harvard T. H. Chan School of Public Health, Harvard University, 677 Huntington Ave, Boston, MA, 02115, USA
| | - Peipei Setoh
- Psychology Division, School of Social Sciences, Nanyang Technological University, 48 Nanyang Ave, Singapore, 639818, Singapore.
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6
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Tan KML, Chee J, Lim KLM, Ng M, Gong M, Xu J, Tin F, Natarajan P, Lee BL, Ong CN, Tint MT, Kee MZL, Müller-Riemenschneider F, Gluckman PD, Meaney MJ, Kumar M, Karnani N, Eriksson JG, Nandanan B, Wyss A, Cameron-Smith D. Safety, Tolerability, and Pharmacokinetics of β-Cryptoxanthin Supplementation in Healthy Women: A Double-Blind, Randomized, Placebo-Controlled Clinical Trial. Nutrients 2023; 15:nu15102325. [PMID: 37242207 DOI: 10.3390/nu15102325] [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] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND β-cryptoxanthin is a dietary carotenoid for which there have been few studies on the safety and pharmacokinetics following daily oral supplementation. METHODS 90 healthy Asian women between 21 and 35 years were randomized into three groups: 3 and 6 mg/day oral β-cryptoxanthin, and placebo. At 2, 4, and 8 weeks of supplementation, plasma carotenoid levels were measured. The effects of β-cryptoxanthin on blood retinoid-dependent gene expression, mood, physical activity and sleep, metabolic parameters, and fecal microbial composition were investigated. RESULTS β-cryptoxanthin supplementation for 8 weeks (3 and 6 mg/day) was found to be safe and well tolerated. Plasma β-cryptoxanthin concentration was significantly higher in the 6 mg/day group (9.0 ± 4.1 µmol/L) compared to 3 mg/day group (6.0 ± 2.6 µmol/L) (p < 0.03), and placebo (0.4 ± 0.1 µmol/L) (p < 0.001) after 8 weeks. Plasma all-trans retinol, α-cryptoxanthin, α-carotene, β-carotene, lycopene, lutein, and zeaxanthin levels were not significantly changed. No effects were found on blood retinol-dependent gene expression, mood, physical activity and sleep, metabolic parameters, and fecal microbial composition. CONCLUSIONS Oral β-cryptoxanthin supplementation over 8 weeks lead to high plasma concentrations of β-cryptoxanthin, with no impact on other carotenoids, and was well tolerated in healthy women.
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Affiliation(s)
- Karen M L Tan
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
- Department of Laboratory Medicine, National University Hospital, Singapore 119074, Singapore
| | - Jolene Chee
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
| | - Kezlyn L M Lim
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
| | - Maisie Ng
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
- Bioinformatics Institute, Agency for Science Technology and Research Singapore, Singapore 138671, Singapore
| | - Min Gong
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
| | - Jia Xu
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
| | - Felicia Tin
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
| | - Padmapriya Natarajan
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
| | - Bee Lan Lee
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
| | - Choon Nam Ong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
| | - Mya Thway Tint
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
- Human Potential Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
- Digital Health Centre, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, 10179 Berlin, Germany
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
- Liggins Institute, University of Auckland, Auckland 1023, New Zealand
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
- Douglas Mental Health University Institute, McGill University, Montreal, QC H4H 1R3, Canada
| | - Mukkesh Kumar
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
- Bioinformatics Institute, Agency for Science Technology and Research Singapore, Singapore 138671, Singapore
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
- Bioinformatics Institute, Agency for Science Technology and Research Singapore, Singapore 138671, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- Human Potential Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki, 00100 Helsinki, Finland
- Folkhälsan Research Center, 00250 Helsinki, Finland
| | | | - Adrian Wyss
- DSM Nutritional Products Ltd., 4001 Basel, Switzerland
| | - David Cameron-Smith
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research Singapore, Singapore 117609, Singapore
- School of Environmental and Life Sciences, University of Newcastle, Callaghan, NSW 2308, Australia
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7
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Abdul Jafar NK, Tham EKH, Eng DZH, Yeo S, Rifkin-Graboi A, Gooley JJ, Loy SL, Eriksson JG, Chong YS, Tan KH, Chan JKY, Chen H, Shek LPC, Gluckman PD, Yap F, Meaney MJ, Broekman BFP, Kee MZL, Cai S. Preconception sleep quality moderates the association between preconception hair cortisol levels and mental health in pregnant women. J Affect Disord 2023; 334:187-196. [PMID: 37150222 DOI: 10.1016/j.jad.2023.04.129] [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: 06/30/2022] [Revised: 03/17/2023] [Accepted: 04/29/2023] [Indexed: 05/09/2023]
Abstract
BACKGROUND Poor sleep quality may elevate cortisol levels and affect prenatal mental health through altered HPA axis functioning. This study aims to examine whether subjective sleep quality during preconception moderates the association between preconception hair cortisol levels and mental health from preconception to pregnancy trimesters. METHODS Women from a prospective cohort study completed the Pittsburgh Sleep Quality Index (PSQI), the Edinburgh Postnatal Depression Scale (EPDS), and the State-Trait Anxiety Inventory (STAI) questionnaires during preconception (T0) and at each pregnancy trimesters (T1, T2, and T3). We analyzed 266 of these women who conceived and had fully completed measures at preconception for hair cortisol, sleep quality and either EPDS or STAI-state. Changes in EPDS and STAI-state scores were derived (i.e., T1-T0, T2-T0, T3-T0). Johnson-Neyman technique identified PSQI scores with significant moderation of cortisol on mental health. RESULTS After adjusting for potential covariates, there was a significant positive correlation between preconception hair cortisol levels and depressive symptom at the second trimester (rs (144) = 0.22, p = 0.008), but not the first and third trimesters (all ps > 0.05). The positive association between preconception hair cortisol and change in depressive symptoms between third trimester and preconception was significant only among women with poor preconception sleep quality (PSQI ≥ 7). LIMITATIONS Sleep quality and prenatal mood were derived from self-reported questionnaires, which may be more susceptible to bias. CONCLUSIONS The positive association between preconception hair cortisol and change in prenatal depressive symptoms is significant among women who reported poor sleep quality during preconception. Improving preconception sleep quality can potentially mitigate the association between preconception hair cortisol and depressive symptoms during pregnancy.
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Affiliation(s)
- Nur K Abdul Jafar
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore; Department of Maternal Fetal Medicine, Kandang Kerbau Women's and Children's Hospital, Singapore
| | - Elaine K H Tham
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Derric Z H Eng
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Sherwynn Yeo
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Anne Rifkin-Graboi
- Centre for Research in Child Development, Office of Educational Research, National Institute of Education, Nanyang Technological University, Singapore
| | - Joshua J Gooley
- Program in Neuroscience and Behavioural Disorders, Duke-NUS Medical School, Singapore
| | - See Ling Loy
- Department of Reproductive Medicine, Kandang Kerbau Women's and Children's Hospital, Singapore; Duke-NUS Medical School, Singapore
| | - Johan G Eriksson
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yap-Seng Chong
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kok Hian Tan
- Department of Reproductive Medicine, Kandang Kerbau Women's and Children's Hospital, Singapore; Paediatrics Academic Clinical Programme, Duke-NUS Medicine School, Singapore
| | - Jerry Kok Yen Chan
- Department of Reproductive Medicine, Kandang Kerbau Women's and Children's Hospital, Singapore; Duke-NUS Medical School, Singapore
| | - Helen Chen
- Department of Psychological Medicine, Kandang Kerbau Women's and Children's Hospital, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Lynette Pei-Chi Shek
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Peter D Gluckman
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore; Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Fabian Yap
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Michael J Meaney
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore; Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Canada
| | - Birit F P Broekman
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore; Department of Psychiatry, OLVG and Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands; Amsterdam Public Health, Mental Health Program Amsterdam, the Netherlands
| | - Michelle Z L Kee
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore
| | - Shirong Cai
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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8
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Feng SV, van den Boom W, De Iorio M, Thng GJ, Chan JKY, Chen HY, Tan KH, Kee MZL. Joint modelling of mental health markers through pregnancy: a Bayesian semi-parametric approach. J Appl Stat 2023; 51:388-405. [PMID: 38283054 PMCID: PMC10810649 DOI: 10.1080/02664763.2022.2154329] [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] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 09/23/2022] [Indexed: 01/14/2023]
Abstract
Maternal depression and anxiety through pregnancy have lasting societal impacts. It is thus crucial to understand the trajectories of its progression from preconception to postnatal period, and the risk factors associated with it. Within the Bayesian framework, we propose to jointly model seven outcomes, of which two are physiological and five non-physiological indicators of maternal depression and anxiety over time. We model the former two by a Gaussian process and the latter by an autoregressive model, while imposing a multidimensional Dirichlet process prior on the subject-specific random effects to account for subject heterogeneity and induce clustering. The model allows for the inclusion of covariates through a regression term. Our findings reveal four distinct clusters of trajectories of the seven health outcomes, characterising women's mental health progression from before to after pregnancy. Importantly, our results caution against the loose use of hair corticosteroids as a biomarker, or even a causal factor, for pregnancy mental health progression. Additionally, the regression analysis reveals a range of preconception determinants and risk factors for depressive and anxiety symptoms during pregnancy.
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Affiliation(s)
| | - Willem van den Boom
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Agency for Science, Technology and Research, Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - Maria De Iorio
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Agency for Science, Technology and Research, Singapore Institute for Clinical Sciences, Singapore, Singapore
- Department of Statistical Science, University College London, London, UK
| | - Gladi J. Thng
- Agency for Science, Technology and Research, Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - Jerry K. Y. Chan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Helen Y. Chen
- Duke-NUS Medical School, Singapore, Singapore
- Department of Psychological Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Michelle Z. L. Kee
- Agency for Science, Technology and Research, Singapore Institute for Clinical Sciences, Singapore, Singapore
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9
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Havron N, Lovcevic I, Kee MZL, Chen H, Chong YS, Daniel M, Broekman BFP, Tsuji S. The effect of older sibling, postnatal maternal stress, and household factors on language development in two- to four-year-old children. Dev Psychol 2022; 58:2096-2113. [PMID: 35951397 DOI: 10.1037/dev0001417] [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] [Indexed: 11/08/2022]
Abstract
Previous literature has shown that family structure affects language development. Here, factors relating to older siblings (their presence in the house, sex, and age gap), mothers (maternal stress), and household size and residential crowding were assessed to systematically examine the different roles of these factors. Data from mother-child dyads in a Singaporean birth cohort, (677-855 dyads; 52% males; 58% to 61% Chinese, 20% to 24% Malay, 17% to 19% Indian) collected when children were 24, 48, and 54 months old, were analyzed. There was a negative effect of having an older sibling, moderated by the siblings' age gap, but not by the older sibling's sex, nor household size or residential crowding. Maternal stress affected language outcomes in some analyses but not others. Implications for understanding the possible effects of family structure on language development are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
- Naomi Havron
- School of Psychological Sciences, University of Haifa
| | - Irena Lovcevic
- International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo, Institutes for Advanced Studies
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences, A*STAR, Brenner Centre for Molecular Medicine
| | | | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, A*STAR, Brenner Centre for Molecular Medicine
| | | | - Birit F P Broekman
- Singapore Institute for Clinical Sciences, A*STAR, Brenner Centre for Molecular Medicine
| | - Sho Tsuji
- International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo, Institutes for Advanced Studies
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10
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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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11
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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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12
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Cremaschi A, De Iorio M, Seng Chong Y, Broekman B, Meaney MJ, Kee MZL. A Bayesian nonparametric approach to dynamic item-response modeling: An application to the GUSTO cohort study. Stat Med 2021; 40:6021-6037. [PMID: 34412151 PMCID: PMC9546363 DOI: 10.1002/sim.9167] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 08/03/2021] [Accepted: 08/03/2021] [Indexed: 11/08/2022]
Abstract
Statistical analysis of questionnaire data is often performed employing techniques from item-response theory. In this framework, it is possible to differentiate respondent profiles and characterize the questions (items) included in the questionnaire via interpretable parameters. These models are often crosssectional and aim at evaluating the performance of the respondents. The motivating application of this work is the analysis of psychometric questionnaires taken by a group of mothers at different time points and by their children at one later time point. The data are available through the GUSTO cohort study. To this end, we propose a Bayesian semiparametric model and extend the current literature by: (i) introducing temporal dependence among questionnaires taken at different time points; (ii) jointly modeling the responses to questionnaires taken from different, but related, groups of subjects (in our case mothers and children), introducing a further dependency structure and therefore sharing of information; (iii) allowing clustering of subjects based on their latent response profile. The proposed model is able to identify three main groups of mother/child pairs characterized by their response profiles. Furthermore, we report an interesting maternal reporting bias effect strongly affecting the clustering structure of the mother/child dyads.
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Affiliation(s)
- Andrea Cremaschi
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, Singapore
| | - Maria De Iorio
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Science, Yale-NUS College, Singapore, Singapore.,Department of Statistical Science, University College London, London, UK
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Birit Broekman
- Department of Psychiatry, VU Medical Centre, Amsterdam, the Netherlands
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, Singapore.,Department of Psychiatry, Douglas Mental Health University Research Institute, McGill University, Montreal, Quebec, Canada
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, Singapore
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13
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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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Fitzgerald E, Parent C, Kee MZL, Meaney MJ. Maternal Distress and Offspring Neurodevelopment: Challenges and Opportunities for Pre-clinical Research Models. Front Hum Neurosci 2021; 15:635304. [PMID: 33643013 PMCID: PMC7907173 DOI: 10.3389/fnhum.2021.635304] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 01/21/2021] [Indexed: 12/12/2022] Open
Abstract
Pre-natal exposure to acute maternal trauma or chronic maternal distress can confer increased risk for psychiatric disorders in later life. Acute maternal trauma is the result of unforeseen environmental or personal catastrophes, while chronic maternal distress is associated with anxiety or depression. Animal studies investigating the effects of pre-natal stress have largely used brief stress exposures during pregnancy to identify critical periods of fetal vulnerability, a paradigm which holds face validity to acute maternal trauma in humans. While understanding these effects is undoubtably important, the literature suggests maternal stress in humans is typically chronic and persistent from pre-conception through gestation. In this review, we provide evidence to this effect and suggest a realignment of current animal models to recapitulate this chronicity. We also consider candidate mediators, moderators and mechanisms of maternal distress, and suggest a wider breadth of research is needed, along with the incorporation of advanced -omics technologies, in order to understand the neurodevelopmental etiology of psychiatric risk.
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Affiliation(s)
- Eamon Fitzgerald
- Department of Psychiatry, Faculty of Medicine, 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
| | - Carine Parent
- Department of Psychiatry, Faculty of Medicine, 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
| | - Michelle Z. L. Kee
- Translational Neuroscience Programme, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Michael J. Meaney
- Department of Psychiatry, Faculty of Medicine, 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 (ASTAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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15
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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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16
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Phua DY, Kee MZL, Meaney MJ. Positive Maternal Mental Health, Parenting, and Child Development. Biol Psychiatry 2020; 87:328-337. [PMID: 31839213 DOI: 10.1016/j.biopsych.2019.09.028] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [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: 05/01/2019] [Revised: 09/17/2019] [Accepted: 09/19/2019] [Indexed: 12/23/2022]
Abstract
While maternal mental health is an important influence on child development, the existing literature focuses primarily on negative aspects of maternal mental health, particularly symptoms of depression, anxiety, or states of distress. We provide a review of the evidence on the potential importance of positive mental health for both mother and child. The evidence suggests that positive mental health is a distinct construct that is associated with improved birth outcomes and potentially with specific forms of parenting that promote both academic achievement and socioemotional function. We review studies that provide a plausible biological basis for the link between positive mental health and parenting, focusing on oxytocin-dopamine interactions. We caution that the evidence is largely preliminary and suggest directions for future research, noting the importance of identifying the operative dimensions of positive maternal mental health in relation to specific outcomes. We suggest that the inclusion of positive maternal mental health provides the potential for a more comprehensive understanding of parental influences on child development.
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Affiliation(s)
- Desiree Y Phua
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Michelle Z L Kee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Sackler Program for Epigenetics and Psychobiology, McGill University, Montreal, Quebec, Canada.
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17
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Tan SJ, Kee MZL, Mathuru AS, Burkholder WF, Jesuthasan SJ. A microfluidic device to sort cells based on dynamic response to a stimulus. PLoS One 2013; 8:e78261. [PMID: 24250795 PMCID: PMC3826715 DOI: 10.1371/journal.pone.0078261] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Accepted: 09/09/2013] [Indexed: 11/25/2022] Open
Abstract
Single cell techniques permit the analysis of cellular properties that are obscured by studying the average behavior of cell populations. One way to determine how gene expression contributes to phenotypic differences among cells is to combine functional analysis with transcriptional profiling of single cells. Here we describe a microfluidic device for monitoring the responses of single cells to a ligand and then collecting cells of interest for transcriptional profiling or other assays. As a test, cells from the olfactory epithelium of zebrafish were screened by calcium imaging to identify sensory neurons that were responsive to the odorant L-lysine. Single cells were subsequently recovered for transcriptional profiling by qRT-PCR. Responsive cells all expressed TRPC2 but not OMP, consistent with known properties of amino-acid sensitive olfactory neurons. The device can be adapted for other areas in biology where there is a need to sort and analyze cells based on their signaling responses.
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Affiliation(s)
- Swee Jin Tan
- Microfluidics Systems Biology Lab, Institute of Molecular and Cell Biology, Singapore, Singapore
| | - Michelle Z. L. Kee
- Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore
| | - Ajay Sriram Mathuru
- Neural Circuitry and Behavior Lab, Institute of Molecular and Cell Biology, Singapore, Singapore
| | - William F. Burkholder
- Microfluidics Systems Biology Lab, Institute of Molecular and Cell Biology, Singapore, Singapore
| | - Suresh J. Jesuthasan
- Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore
- Neural Circuitry and Behavior Lab, Institute of Molecular and Cell Biology, Singapore, Singapore
- Department of Physiology, National University of Singapore, Singapore, Singapore
- * E-mail:
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18
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Tsuda S, Kee MZL, Cunha C, Kim J, Yan P, Loew LM, Augustine GJ. Probing the function of neuronal populations: combining micromirror-based optogenetic photostimulation with voltage-sensitive dye imaging. Neurosci Res 2013; 75:76-81. [PMID: 23254260 PMCID: PMC3594342 DOI: 10.1016/j.neures.2012.11.006] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [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: 11/19/2012] [Revised: 11/27/2012] [Accepted: 11/28/2012] [Indexed: 11/25/2022]
Abstract
Recent advances in our understanding of brain function have come from using light to either control or image neuronal activity. Here we describe an approach that combines both techniques: a micromirror array is used to photostimulate populations of presynaptic neurons expressing channelrhodopsin-2, while a red-shifted voltage-sensitive dye allows optical detection of resulting postsynaptic activity. Such technology allowed us to control the activity of cerebellar interneurons while simultaneously recording inhibitory responses in multiple Purkinje neurons, their postsynaptic targets. This approach should substantially accelerate our understanding of information processing by populations of neurons within brain circuits.
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Affiliation(s)
- Sachiko Tsuda
- Laboratory of Synaptic Circuitry, Program in Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
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19
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Kee MZL, Wuskell JP, Loew LM, Augustine GJ, Sekino Y. Imaging activity of neuronal populations with new long-wavelength voltage-sensitive dyes. ACTA ACUST UNITED AC 2009; 36:157-72. [PMID: 19219551 DOI: 10.1007/s11068-009-9039-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [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: 12/12/2008] [Revised: 12/30/2008] [Accepted: 01/05/2009] [Indexed: 12/30/2022]
Abstract
We have assessed the utility of five new long-wavelength fluorescent voltage-sensitive dyes (VSD) for imaging the activity of populations of neurons in mouse brain slices. Although all the five were capable of detecting activity resulting from activation of the Schaffer collateral-CA1 pyramidal cell synapse, they differed significantly in their properties, most notably in the signal-to-noise ratio of the changes in dye fluorescence associated with neuronal activity. Two of these dyes, Di-2-ANBDQPQ and Di-1-APEFEQPQ, should prove particularly useful for imaging activity in brain tissue and for combining VSD imaging with the control of neuronal activity via light-activated proteins such as channelrhodopsin-2 and halorhodopsin.
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Affiliation(s)
- Michelle Z L Kee
- Laboratory of Synaptic Circuitry, Program in Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, 2 Jalan Bukit Merah, Singapore 169547, Singapore
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