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Nonkovic N, Marceau K, McGeary JE, Ramos AM, Palmer RHC, Heath AC, Knopik VS. Maternal smoking during pregnancy is associated with DNA methylation in early adolescence: A sibling comparison design. Dev Psychol 2024; 60:1639-1654. [PMID: 38661663 PMCID: PMC11908678 DOI: 10.1037/dev0001747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Maternal smoking during pregnancy (MSDP) may impact offspring biological (e.g., deoxyribonucleic acid methylation [DNAm]) and behavioral (e.g., attention-deficit/hyperactivity disorder hyperactive/impulsive [ADHD-HI] symptoms) development. There has been consistency in findings of differential methylation in global DNAm, and the specific genes AHRR, CYP1A1, CNTNAP2, MYO1G, and GFI1 in relation to MSDP. The current study aims to (a) replicate the associations of MSDP and DNAm in prior literature in middle childhood-adolescence (cross-sectionally) using a sibling-comparison design where siblings were discordant for MSDP (n = 328 families; Mage Sibling 1 = 13.02; Sibling 2 = 10.20), adjusting for prenatal and postnatal covariates in order to isolate the MSDP exposure on DNAm. We also (b) cross-sectionally explored the role of DNAm in the most robust MSDP-ADHD associations (i.e., with ADHD-HI) previously found in this sample. We quantified smoking exposure severity for each sibling reflecting time and quantity of MSDP, centered relative to the sibling pair's average (i.e., within-family centered, indicating child-specific effects attributable MSDP exposure) and controlling for the sibling average MSDP (i.e., between-family component, indicating familial confounding related to MSDP). We found that child-specific MSDP was associated with global DNAm, and CNTNAP2, CYP1A1, and MYO1G methylation after covariate adjustment, corroborating emerging evidence for a potentially causal pathway between MSDP and DNAm. There was some evidence that child-specific CNTNAP2 and MYO1G methylation partially explained associations between MSDP and ADHD-HI symptoms, though only on one measure (of two). Future studies focused on replication of these findings in a longitudinal genetic design could further solidify the associations found in the current study. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Nikolina Nonkovic
- Department of Human Development and Family Science, Purdue University
| | - Kristine Marceau
- Department of Human Development and Family Science, Purdue University
| | - John E McGeary
- Department of Psychiatry and Human Behavior, Brown University
| | - Amanda M Ramos
- Department of Epidemiology, University of North Carolina at Chapel Hill
| | - Rohan H C Palmer
- Behavioral Genetics of Addiction Laboratory, Department of Psychology, Emory University
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine in St. Louis
| | - Valerie S Knopik
- Department of Human Development and Family Science, Purdue University
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Fotopoulos NH, Chaumette B, Devenyi GA, Karama S, Chakravarty M, Labbe A, Grizenko N, Schmitz N, Fageera W, Joober R. Maternal smoking during pregnancy and cortical structure in children with attention-deficit/hyperactivity disorder. Psychiatry Res 2024; 334:115791. [PMID: 38367455 DOI: 10.1016/j.psychres.2024.115791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 01/28/2024] [Accepted: 02/11/2024] [Indexed: 02/19/2024]
Abstract
Maternal smoking during pregnancy (MSDP) is considered a risk factor for ADHD. While the mechanisms underlying this association are not well understood, MSDP may impact the developing brain in ways that lead to ADHD. Here, we investigated the effect of prenatal smoking exposure on cortical brain structures in children with ADHD using two methods of assessing prenatal exposure: maternal recall and epigenetic typing. Exposure groups were defined according to: (1) maternal recall (+MSDP: n = 24; -MSDP: n = 85) and (2) epigenetic markers (EM) (+EM: n = 14 -EM: n = 21). CIVET-1.1.12 and RMINC were used to acquire cortical brain measurements and perform statistical analyses, respectively. The vertex with highest significance was tested for association with Continuous Performance Test (CPT) dimensions. While no differences of brain structures were identified between +MSDP and -MSDP, +EM children (n = 10) had significantly smaller surface area in the right orbitofrontal cortex (ROFc), middle temporal cortex (RTc) and parahippocampal gyrus (RPHg) (15% FDR) compared to -EM children (n = 20). Cortical surface area in the RPHg significantly correlated with CPT commission errors T-scores. This study suggests that molecular markers may better define exposure to environmental risks, as compared to human recall.
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Affiliation(s)
- Nellie H Fotopoulos
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Boris Chaumette
- Department of Psychiatry, McGill University, Montréal, Québec, Canada; Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, GHU-Paris Psychiatrie et Neurosciences, Paris, France
| | - Gabriel A Devenyi
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Sherif Karama
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Montréal Neurological Institute, Montréal, Québec, Canada
| | - Mallar Chakravarty
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Department of Biological and Biomedical Engineering, McGill University, Montréal, Québec, Canada
| | - Aurelie Labbe
- Department of Decision Sciences, HEC Montreal, Montréal, Québec, Canada
| | - Natalie Grizenko
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Norbert Schmitz
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada
| | - Weam Fageera
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Ridha Joober
- Douglas Mental Health University Institute, Montréal, Québec, Canada; Department of Human Genetics, McGill University, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada.
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