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Li Y, Hong X, Chandran A, Keet CA, Clish CB, Liang L, Jacobson LP, Wang X, Ladd-Acosta C. Associations between cord blood acetaminophen biomarkers and childhood asthma with and without allergic comorbidities. Ann Allergy Asthma Immunol 2024:S1081-1206(24)00143-1. [PMID: 38484838 DOI: 10.1016/j.anai.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/27/2024]
Abstract
BACKGROUND Previous studies have linked prenatal acetaminophen use to increased asthma risk in children. However, none have explored this association while differentiating between asthma cases with and without other allergic conditions or by employing objective biomarkers to assess acetaminophen exposure. OBJECTIVE To evaluate whether the detection of acetaminophen biomarkers in cord blood is associated with the subgroups of asthma both with and without allergic comorbidities in children. METHODS Acetaminophen biomarkers, including unchanged acetaminophen and acetaminophen glucuronide, were measured in neonatal cord blood samples from the Boston Birth Cohort. Asthma subgroups were defined on the basis of physician diagnoses of asthma and other allergic conditions (atopic dermatitis and allergic rhinitis). Multinomial regressions were used to evaluate the associations between acetaminophen biomarkers and asthma subgroups, adjusting for multiple confounders, including potential indications for maternal acetaminophen use such as maternal fever. RESULTS The study included 142 children with asthma and at least 1 other allergic condition, 55 children with asthma but no other allergic condition, and 613 children free of asthma. Detection of acetaminophen in cord blood, reflecting maternal exposure to acetaminophen shortly before delivery, was associated with 3.73 times the odds of developing asthma without allergic comorbidities (95% CI: 1.79-7.80, P = .0004). In contrast, the detection of acetaminophen in cord blood was not associated with an elevated risk of asthma with allergic comorbidities. Analysis of acetaminophen glucuronide yielded consistent results. CONCLUSION In a prospective birth cohort, cord blood acetaminophen biomarkers were associated with an increased risk of childhood asthma without allergic comorbidities, but were not associated with childhood asthma with allergic comorbidities.
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Affiliation(s)
- Yijun Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Xiumei Hong
- Department of Population, Family and Reproductive Health, Center on the Early Life Origins of Disease, Johns Hopkins Bloomberg School of Public Health, Baltimore, Massachusetts
| | - Aruna Chandran
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Corinne A Keet
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Clary B Clish
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, Massachusetts
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Lisa P Jacobson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Xiaobin Wang
- Department of Population, Family and Reproductive Health, Center on the Early Life Origins of Disease, Johns Hopkins Bloomberg School of Public Health, Baltimore, Massachusetts; Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
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Schrott R, Feinberg JI, Newschaffer CJ, Hertz-Picciotto I, Croen LA, Fallin MD, Volk HE, Ladd-Acosta C, Feinberg AP. Exposure to air pollution is associated with DNA methylation changes in sperm. Environ Epigenet 2024; 10:dvae003. [PMID: 38559770 PMCID: PMC10980975 DOI: 10.1093/eep/dvae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 01/10/2024] [Accepted: 02/02/2024] [Indexed: 04/04/2024]
Abstract
Exposure to air pollutants has been associated with adverse health outcomes in adults and children who were prenatally exposed. In addition to reducing exposure to air pollutants, it is important to identify their biologic targets in order to mitigate the health consequences of exposure. One molecular change associated with prenatal exposure to air pollutants is DNA methylation (DNAm), which has been associated with changes in placenta and cord blood tissues at birth. However, little is known about how air pollution exposure impacts the sperm epigenome, which could provide important insights into the mechanism of transmission to offspring. In the present study, we explored whether exposure to particulate matter less than 2.5 microns in diameter, particulate matter less than 10 microns in diameter, nitrogen dioxide (NO2), or ozone (O3) was associated with DNAm in sperm contributed by participants in the Early Autism Risk Longitudinal Investigation prospective pregnancy cohort. Air pollution exposure measurements were calculated as the average exposure for each pollutant measured within 4 weeks prior to the date of sample collection. Using array-based genome-scale methylation analyses, we identified 80, 96, 35, and 67 differentially methylated regions (DMRs) significantly associated with particulate matter less than 2.5 microns in diameter, particulate matter less than 10 microns in diameter, NO2, and O3, respectively. While no DMRs were associated with exposure to all four pollutants, we found that genes overlapping exposure-related DMRs had a shared enrichment for gene ontology biological processes related to neurodevelopment. Together, these data provide compelling support for the hypothesis that paternal exposure to air pollution impacts DNAm in sperm, particularly in regions implicated in neurodevelopment.
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Affiliation(s)
- Rose Schrott
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Craig J Newschaffer
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, State College, PA 16802, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, MIND (Medical Investigations of Neurodevelopmental Disorders) Institute, University of California, Davis, CA 95616, USA
| | - Lisa A Croen
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - M Daniele Fallin
- Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Heather E Volk
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Andrew P Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Center for Epigenetics, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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3
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Yu EX, Dou JF, Volk HE, Bakulski KM, Benke K, Hertz-Picciotto I, Schmidt RJ, Newschaffer CJ, Feinberg JI, Daniels J, Fallin MD, Ladd-Acosta C, Hamra GB. Prenatal Metal Exposures and Child Social Responsiveness Scale Scores in 2 Prospective Studies. Environ Health Insights 2024; 18:11786302231225313. [PMID: 38317694 PMCID: PMC10840406 DOI: 10.1177/11786302231225313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 12/20/2023] [Indexed: 02/07/2024]
Abstract
Background Prenatal exposure to metals is hypothesized to be associated with child autism. We aim to investigate the joint and individual effects of prenatal exposure to urine metals including lead (Pb), mercury (Hg), manganese (Mn), and selenium (Se) on child Social Responsiveness Scale (SRS) scores. Methods We used data from 2 cohorts enriched for likelihood of autism spectrum disorder (ASD): Early Autism Risk Longitudinal Investigation (EARLI) and the Markers of Autism Risk in Babies-Learning Early Signs (MARBLES) studies. Metal concentrations were measured in urine collected during pregnancy. We used Bayesian Kernel Machine Regression and linear regression models to investigate both joint and independent associations of metals with SRS Z-scores in each cohort. We adjusted for maternal age at delivery, interpregnancy interval, maternal education, child race/ethnicity, child sex, and/or study site. Results The final analytic sample consisted of 251 mother-child pairs. When Pb, Hg, Se, and Mn were at their 75th percentiles, there was a 0.03 increase (95% credible interval [CI]: -0.11, 0.17) in EARLI and 0.07 decrease (95% CI: -0.29, 0.15) in MARBLES in childhood SRS Z-scores, compared to when all 4 metals were at their 50th percentiles. In both cohorts, increasing concentrations of Pb were associated with increasing values of SRS Z-scores, fixing the other metals to their 50th percentiles. However, all the 95% credible intervals contained the null. Conclusions There were no clear monotonic associations between the overall prenatal metal mixture in pregnancy and childhood SRS Z-scores at 36 months. There were also no clear associations between individual metals within this mixture and childhood SRS Z-scores at 36 months. The overall effects of the metal mixture and the individual effects of each metal within this mixture on offspring SRS Z-scores might be heterogeneous across child sex and cohort. Further studies with larger sample sizes are warranted.
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Affiliation(s)
- Emma X Yu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - John F Dou
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Heather E Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kelly M Bakulski
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Kelly Benke
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences and the MIND Institute, University of California Davis School of Medicine, Davis, CA, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences and the MIND Institute, University of California Davis School of Medicine, Davis, CA, USA
| | - Craig J Newschaffer
- Department of Biobehavioral Health, College of Health and Human Development, The Pennsylvania State University, University Park, PA, USA
| | - Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA
| | - Jason Daniels
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA
| | | | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ghassan B Hamra
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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4
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Morrill V, Benke K, Brinton J, Soke GN, Schieve LA, Fields V, Farzadegan H, Holingue C, Newschaffer CJ, Reynolds AM, Daniele Fallin M, Ladd-Acosta C. Genetic liability for gastrointestinal inflammation disorders and association with gastrointestinal symptoms in children with and without autism. Am J Med Genet B Neuropsychiatr Genet 2024; 195:e32952. [PMID: 37455590 PMCID: PMC10792104 DOI: 10.1002/ajmg.b.32952] [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: 10/13/2022] [Revised: 06/12/2023] [Accepted: 06/26/2023] [Indexed: 07/18/2023]
Abstract
Children with autism spectrum disorder (ASD) have a greater prevalence of gastrointestinal (GI) symptoms than children without ASD. We tested whether polygenic scores for each of three GI disorders (ulcerative colitis, inflammatory bowel disease, and Crohn's disease) were related to GI symptoms in children with and without ASD. Using genotyping data (564 ASD cases and 715 controls) and external genome-wide association study summary statistics, we computed GI polygenic scores for ulcerative colitis (UC-PGS), inflammatory bowel disease (IDB-PGS), and Crohn's disease (CD-PGS). Multivariable logistic regression models, adjusted for genetic ancestry, were used to estimate associations between each GI-PGS and (1) ASD case-control status, and (2) specific GI symptoms in neurotypical children and separately in ASD children. In children without ASD, polygenic scores for ulcerative colitis were significantly associated with experiencing any GI symptom (adjusted odds ratio (aOR) = 1.36, 95% confidence interval (CI) = 1.03-1.81, p = 0.03) and diarrhea specifically (aOR = 5.35, 95% CI = 1.77-26.20, p = 0.01). Among children without ASD, IBD-PGS, and Crohn's PGS were significantly associated with diarrhea (aOR = 3.55, 95% CI = 1.25-12.34, p = 0.02) and loose stools alternating with constipation (aOR = 2.57, 95% CI = 1.13-6.55, p = 0.03), respectively. However, the three PGS were not associated with GI symptoms in the ASD case group. Furthermore, polygenic scores for ulcerative colitis significantly interacted with ASD status on presentation of any GI symptom within a European ancestry subset (aOR = 0.42, 95% CI = 0.19-0.88, p = 0.02). Genetic risk factors for some GI symptoms differ between children with and without ASD. Furthermore, our finding that increased genetic risks for GI inflammatory disorders are associated with GI symptoms in children without ASD informs future work on the early detection of GI disorders.
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Affiliation(s)
- Valerie Morrill
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kelly Benke
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - John Brinton
- Department of Pediatrics, School of Medicine, University of Colorado and Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Gnakub N. Soke
- Centers for Disease Control and Prevention, Division of Scientific Education and Professional Development, Epidemic Intelligence Service, Atlanta, Georgia, USA
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Laura A. Schieve
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Victoria Fields
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Homayoon Farzadegan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Calliope Holingue
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Craig J. Newschaffer
- AJ Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania, USA
- College of Health and Human Development, Pennsylvania State University, Pennsylvania, USA
| | - Ann M. Reynolds
- Department of Pediatrics, School of Medicine, University of Colorado and Children’s Hospital Colorado, Aurora, Colorado, USA
| | - M. Daniele Fallin
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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5
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Song AY, Bulka CM, Niemiec SS, Kechris K, Boyle KE, Marsit CJ, O’Shea TM, Fry RC, Lyall K, Fallin MD, Volk HE, Ladd-Acosta C. Accelerated epigenetic age at birth and child emotional and behavioura development in early childhood: a meta-analysis of four prospective cohort studies in ECHO. Epigenetics 2023; 18:2254971. [PMID: 37691382 PMCID: PMC10496525 DOI: 10.1080/15592294.2023.2254971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 08/16/2023] [Accepted: 08/29/2023] [Indexed: 09/12/2023] Open
Abstract
Background: 'Epigenetic clocks' have been developed to accurately predict chronologic gestational age and have been associated with child health outcomes in prior work.Methods: We meta-analysed results from four prospective U.S cohorts investigating the association between epigenetic age acceleration estimated using blood DNA methylation collected at birth and preschool age Childhood Behavior Checklist (CBCL) scores.Results: Epigenetic ageing was not significantly associated with CBCL total problem scores (β = 0.33, 95% CI: -0.95, 0.28) and DSM-oriented pervasive development problem scores (β = -0.23, 95% CI: -0.61, 0.15). No associations were observed for other DSM-oriented subscales.Conclusions: The meta-analysis results suggest that epigenetic gestational age acceleration is not associated with child emotional and behavioural functioning for preschool age group. These findings may relate to our study population, which includes two cohorts enriched for ASD and one preterm birth cohort.; future work should address the role of epigenetic age in child health in other study populations.Abbreviations: DNAm: DNA methylation; CBCL: Child Behavioral Checklist; ECHO: Environmental Influences on Child Health Outcomes; EARLI: Early Autism Risk Longitudinal Investigation; MARBLES: Markers of Autism Risk in Babies - Learning Early Signs; ELGAN: Extremely Low Gestational Age Newborns; ASD: autism spectrum disorder; BMI: body mass index; DSM: Diagnostic and Statistical Manual of Mental Disorders.
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Affiliation(s)
- Ashley Y. Song
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Sierra S. Niemiec
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kristen E. Boyle
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Carmen J. Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - T. Michael O’Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kristen Lyall
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA
| | | | - Heather E. Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Christine Ladd-Acosta
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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6
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Bulka CM, Everson TM, Burt AA, Marsit CJ, Karagas MR, Boyle KE, Niemiec S, Kechris K, Davidson EJ, Yang IV, Feinberg JI, Volk HE, Ladd-Acosta C, Breton CV, O’Shea TM, Fry RC. Sex-based differences in placental DNA methylation profiles related to gestational age: an NIH ECHO meta-analysis. Epigenetics 2023; 18:2179726. [PMID: 36840948 PMCID: PMC9980626 DOI: 10.1080/15592294.2023.2179726] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/08/2022] [Accepted: 12/21/2022] [Indexed: 02/26/2023] Open
Abstract
The placenta undergoes many changes throughout gestation to support the evolving needs of the foetus. There is also a growing appreciation that male and female foetuses develop differently in utero, with unique epigenetic changes in placental tissue. Here, we report meta-analysed sex-specific associations between gestational age and placental DNA methylation from four cohorts in the National Institutes of Health (NIH) Environmental influences on Child Health Outcomes (ECHO) Programme (355 females/419 males, gestational ages 23-42 weeks). We identified 407 cytosine-guanine dinucleotides (CpGs) in females and 794 in males where placental methylation levels were associated with gestational age. After cell-type adjustment, 55 CpGs in females and 826 in males were significant. These were enriched for biological processes critical to the immune system in females and transmembrane transport in males. Our findings are distinct between the sexes: in females, associations with gestational age are largely explained by differences in placental cellular composition, whereas in males, gestational age is directly associated with numerous alterations in methylation levels.
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Affiliation(s)
- Catherine M. Bulka
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Todd M. Everson
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Amber A. Burt
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Carmen J. Marsit
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Kristen E. Boyle
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
| | - Sierra Niemiec
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
| | - Katerina Kechris
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
- Department of Biostatistics & Informatics, Colorado School of Public Health, Aurora, CO, USA
| | | | - Ivana V. Yang
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Jason I. Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, ML, USA
| | - Heather E. Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, ML, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, ML, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - T. Michael O’Shea
- Department of Pediatrics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Environmental Health Solutions, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Curriculum in Toxicology and Environmental Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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7
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Musci RJ, Raghunathan RS, Johnson SB, Klein L, Ladd-Acosta C, Ansah R, Hassoun R, Voegtline KM. Using Epigenetic Clocks to Characterize Biological Aging in Studies of Children and Childhood Exposures: a Systematic Review. Prev Sci 2023; 24:1398-1423. [PMID: 37477807 PMCID: PMC10964791 DOI: 10.1007/s11121-023-01576-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/10/2023] [Indexed: 07/22/2023]
Abstract
Biological age, measured via epigenetic clocks, offers a unique and useful tool for prevention scientists to explore the short- and long-term implications of age deviations for health, development, and behavior. The use of epigenetic clocks in pediatric research is rapidly increasing, and there is a need to review the landscape of this work to understand the utility of these clocks for prevention scientists. We summarize the current state of the literature on the use of specific epigenetic clocks in childhood. Using systematic review methods, we identified studies published through February 2023 that used one of three epigenetic clocks as a measure of biological aging. These epigenetic clocks could either be used as a predictor of health outcomes or as a health outcome of interest. The database search identified 982 records, 908 of which were included in a title and abstract review. After full-text screening, 68 studies were eligible for inclusion. While findings were somewhat mixed, a majority of included studies found significant associations between the epigenetic clock used and the health outcome of interest or between an exposure and the epigenetic clock used. From these results, we propose the use of epigenetic clocks as a tool to understand how exposures impact biologic aging pathways and development in early life, as well as to monitor the effectiveness of preventive interventions that aim to reduce exposure and associated adverse health outcomes.
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Affiliation(s)
- Rashelle J Musci
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA.
| | | | - Sara B Johnson
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Lauren Klein
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - Rosemary Ansah
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
| | - Ronda Hassoun
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA
| | - Kristin M Voegtline
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, USA
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
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8
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Fang F, Zhou L, Perng W, Marsit CJ, Knight AK, Cardenas A, Aung MT, Hivert MF, Aris IM, Goodrich JM, Smith AK, Gaylord A, Fry RC, Oken E, O'Connor G, Ruden DM, Trasande L, Herbstman JB, Camargo CA, Bush NR, Dunlop AL, Dabelea DM, Karagas MR, Breton CV, Ober C, Everson TM, Page GP, Ladd-Acosta C. Evaluation of pediatric epigenetic clocks across multiple tissues. Clin Epigenetics 2023; 15:142. [PMID: 37660147 PMCID: PMC10475199 DOI: 10.1186/s13148-023-01552-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 08/12/2023] [Indexed: 09/04/2023] Open
Abstract
BACKGROUND Epigenetic clocks are promising tools for assessing biological age. We assessed the accuracy of pediatric epigenetic clocks in gestational and chronological age determination. RESULTS Our study used data from seven tissue types on three DNA methylation profiling microarrays and found that the Knight and Bohlin clocks performed similarly for blood cells, while the Lee clock was superior for placental samples. The pediatric-buccal-epigenetic clock performed the best for pediatric buccal samples, while the Horvath clock is recommended for children's blood cell samples. The NeoAge clock stands out for its unique ability to predict post-menstrual age with high correlation with the observed age in infant buccal cell samples. CONCLUSIONS Our findings provide valuable guidance for future research and development of epigenetic clocks in pediatric samples, enabling more accurate assessments of biological age.
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Affiliation(s)
- Fang Fang
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, 3040 East Cornwallis Road, Durham, NC, 27709-2194, USA.
| | - Linran Zhou
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, 3040 East Cornwallis Road, Durham, NC, 27709-2194, USA
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Anna K Knight
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA, USA
| | - Max T Aung
- Division of Environmental Health, Department of Population and Populace Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Izzuddin M Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Jaclyn M Goodrich
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA
| | - Alicia K Smith
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Abigail Gaylord
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Rebecca C Fry
- Department of Environmental Sciences and Engineering, UNC-Chapel Hill, Chapel Hill, NC, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - George O'Connor
- Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Douglas M Ruden
- Department of Obstetrics and Gynecology, Institute of Environmental Health Sciences, Wayne State University, Detroit, MI, USA
| | - Leonardo Trasande
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Julie B Herbstman
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, Department of Pediatrics, University of California, San Francisco, CA, USA
| | - Anne L Dunlop
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
| | - Dana M Dabelea
- Department of Epidemiology, Colorado School of Public Health, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Carrie V Breton
- Division of Environmental Health, Department of Population and Populace Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Todd M Everson
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Grier P Page
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, 3040 East Cornwallis Road, Durham, NC, 27709-2194, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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9
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Li Y, Hong X, Liang L, Wang X, Ladd-Acosta C. Association between acetaminophen metabolites and CYP2E1 DNA methylation level in neonate cord blood in the Boston Birth Cohort. Clin Epigenetics 2023; 15:132. [PMID: 37596607 PMCID: PMC10439592 DOI: 10.1186/s13148-023-01551-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 08/09/2023] [Indexed: 08/20/2023] Open
Abstract
BACKGROUND Acetaminophen is a commonly used medication by pregnant women and is known to cross the placenta. However, little is known about the biological mechanisms that regulate acetaminophen in the developing offspring. Cytochrome 2E1 (CYP2E1) is the primary enzyme responsible for the conversion of acetaminophen to its toxic metabolite. Ex vivo studies have shown that the CYP2E1 gene expression in human fetal liver and placenta is largely controlled by DNA methylation (DNAm) at CpG sites located in the gene body of CYP2E1 at the 5' end. To date, no population studies have examined the association between acetaminophen metabolite and fetal DNAm of CYP2E1 at birth. METHODS We utilized data from the Boston Birth Cohort (BBC) which represents an urban, low-income, racially and ethnically diverse population in Boston, Massachusetts. Acetaminophen metabolites were measured in the cord plasma of newborns enrolled in BBC between 2003 and 2013 using liquid chromatography-tandem mass spectrometry. DNAm at 28 CpG sites of CYP2E1 was measured by Illumina Infinium MethylationEPIC BeadChip. We used linear regression to identify differentially methylated CpG sites and the "DiffVar" method to identify differences in methylation variation associated with the detection of acetaminophen, adjusting for cell heterogeneity and batch effects. The false discovery rate (FDR) was calculated to account for multiple comparisons. RESULTS Among the 570 newborns included in this study, 96 (17%) had detectable acetaminophen in cord plasma. We identified 7 differentially methylated CpGs (FDR < 0.05) associated with the detection of acetaminophen and additional 4 CpGs showing a difference in the variation of methylation (FDR < 0.05). These CpGs were all located in the gene body of CYP2E1 at the 5' end and had a 3-6% lower average methylation level among participants with detectable acetaminophen compared to participants without. The CpG sites we identified overlap with previously identified DNase hypersensitivity and open chromatin regions in the ENCODE project, suggesting potential regulatory functions. CONCLUSIONS In a US birth cohort, we found detection of cord biomarkers of acetaminophen was associated with DNAm level of CYP2E1 in cord blood. Our findings suggest that DNA methylation of CYP2E1 may be an important regulator of acetaminophen levels in newborns.
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Affiliation(s)
- Yijun Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street W6509, Baltimore, MD, 21205, USA
| | - Xiumei Hong
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xiaobin Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street W6509, Baltimore, MD, 21205, USA.
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10
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Xu R, Hong X, Ladd-Acosta C, Buckley JP, Choi G, Wang G, Hou W, Wang X, Liang L, Ji H. Contrasting Association of Maternal Plasma Biomarkers of Smoking and 1-Carbon Micronutrients with Offspring DNA Methylation: Evidence of Aryl Hydrocarbon Receptor Repressor Gene-Smoking-Folate Interaction. J Nutr 2023; 153:2339-2351. [PMID: 37156443 PMCID: PMC10447613 DOI: 10.1016/j.tjnut.2023.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/11/2023] [Accepted: 05/01/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND Maternal prenatal smoking is known to alter offspring DNA methylation (DNAm). However, there are no effective interventions to mitigate smoking-induced DNAm alteration. OBJECTIVES This study investigated whether 1-carbon nutrients (folate, vitamins B6, and B12) can protect against prenatal smoking-induced offspring DNAm alterations in the aryl hydrocarbon receptor repressor (AHRR) (cg05575921), GFI1 (cg09935388), and CYP1A1 (cg05549655) genes. METHODS This study included mother-newborn dyads from a racially diverse US birth cohort. The cord blood DNAm at the above 3 sites were derived from a previous study using the Illumina Infinium MethylationEPIC BeadChip. Maternal smoking was assessed by self-report and plasma biomarkers (hydroxycotinine and cotinine). Maternal plasma folate, and vitamins B6 and B12 concentrations were obtained shortly after delivery. Linear regressions, Bayesian kernel machine regression, and quantile g-computation were applied to test the study hypothesis by adjusting for covariables and multiple testing. RESULTS The study included 834 mother-newborn dyads (16.7% of newborns exposed to maternal smoking). DNAm at cg05575921 (AHRR) and at cg09935388 (GFI1) was inversely associated with maternal smoking biomarkers in a dose-response fashion (all P < 7.01 × 10-13). In contrast, cg05549655 (CYP1A1) was positively associated with maternal smoking biomarkers (P < 2.4 × 10-6). Folate concentrations only affected DNAm levels at cg05575921 (AHRR, P = 0.014). Regression analyses showed that compared with offspring with low hydroxycotinine exposure (<0.494) and adequate maternal folate concentrations (quartiles 2-4), an offspring with high hydroxycotinine exposure (≥0.494) and low folate concentrations (quartile 1) had a significant reduction in DNAm at cg05575921 (M-value, ß ± SE = -0.801 ± 0.117, P = 1.44 × 10-11), whereas adequate folate concentrations could cut smoking-induced hypomethylation by almost half. Exposure mixture models further supported the protective role of adequate folate concentrations against smoking-induced aryl hydrocarbon receptor repressor (AHRR) hypomethylation. CONCLUSIONS This study found that adequate maternal folate can attenuate maternal smoking-induced offspring AHRR cg05575921 hypomethylation, which has been previously linked to a range of pediatric and adult diseases.
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Affiliation(s)
- Richard Xu
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, United States
| | - Xiumei Hong
- Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, United States.
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, United States
| | - Jessie P Buckley
- Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, United States
| | - Giehae Choi
- Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, United States
| | - Guoying Wang
- Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, United States
| | - Wenpin Hou
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, United States
| | - Xiaobin Wang
- Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, United States; Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, United States
| | - Liming Liang
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, MA, United States; Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, MA, United States
| | - Hongkai Ji
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, United States.
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11
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Patti MA, Ning X, Hosseini M, Croen LA, Joseph RM, Karagas MR, Ladd-Acosta C, Landa R, Messinger DS, Newschaffer CJ, Nguyen R, Ozonoff S, O'Shea TM, Schmidt RJ, Trevino CO, Lyall K. A Comparative Analysis of the Full and Short Versions of the Social Responsiveness Scale in Estimating an Established Autism Risk Factor Association in ECHO: Do we Get the Same Estimates? J Autism Dev Disord 2023:10.1007/s10803-023-06020-8. [PMID: 37480437 DOI: 10.1007/s10803-023-06020-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/18/2023] [Indexed: 07/24/2023]
Abstract
PURPOSE Prior work developed a shortened 16-item version of the Social Responsiveness Scale (SRS), a quantitative measure of social communication and autism spectrum disorder (ASD)-related traits. However, its properties for use in risk factor estimation have not been fully tested compared to the full SRS. We compared the associations between gestational age (previously established risk factor for ASD) and the 65-item "full" and 16-item "short" versions of the SRS to test the shortened version's ability to capture associations in epidemiologic analyses of ASD risk factors. METHODS We used data from participants in the Environmental influences on Child Health Outcomes (ECHO) Program (n = 2,760). SRS scores were collected via maternal/caregiver report when children were aged 2.5-18 years. We compared estimates of associations between gestational age and preterm birth between the full and short SRS using multivariable linear regression, quantile regression, and prediction methods. RESULTS Overall, associations based on full and short SRS scores were highly comparable. For example, we observed positive associations between preterm birth with both full ([Formula: see text]=2.8; 95% CI [1.7, 4.0]) and short ([Formula: see text]=2.9; 95% CI [1.6, 4.3]) SRS scores. Quantile regression analyses indicated similar direction and magnitude of associations across the distribution of SRS scores between gestational age with both short and full SRS scores. CONCLUSION The comparability in estimates obtained for full and short SRS scores with an "established" ASD risk factor suggests ability of the shortened SRS in assessing associations with potential ASD-related risk factors and has implications for large-scale research studies seeking to reduce participant burden.
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Affiliation(s)
- Marisa A Patti
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA.
| | - Xuejuan Ning
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mina Hosseini
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lisa A Croen
- Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Robert M Joseph
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Rebecca Landa
- Center for Autism and Related Disorders, Department of Psychiatry and Behavioral Sciences, Kennedy Krieger Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel S Messinger
- Departments of Psychology and Pediatrics, University of Miami, Coral Gables, FL, USA
| | - Craig J Newschaffer
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA
- College of Health and Human Development, Pennsylvania State University, University Park, New York City, PA, USA
| | - Ruby Nguyen
- Department of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Sally Ozonoff
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California Davis, Sacramento, CA, USA
| | - T Michael O'Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences, UC Davis, UC Davis MIND Institute, Davis, Sacramento, CA, CA, USA
| | - Cindy O Trevino
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle Children's Research Institute, Seattle, WA, USA
| | - Kristen Lyall
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA
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12
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Garrison-Desany HM, Ladd-Acosta C, Hong X, Wang G, Burd I, Sanchez ZM, Wang X, Surkan PJ. Addressing the Smoking-Hypertension Paradox in Pregnancy: Insight from a Multiethnic US Birth Cohort. Precis Nutr 2023; 2:e00035. [PMID: 37398892 PMCID: PMC10312115] [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] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Background Smoking during pregnancy has been associated with reduced risk of a spectrum of hypertensive (HTN) disorders, known as the "smoking-hypertension paradox." Objective We sought to test potential epidemiologic explanations for the smoking-hypertension paradox. Methods We analyzed 8,510 pregnant people in the Boston Birth Cohort, including 4,027 non-Hispanic Black and 2,428 Hispanic pregnancies. Study participants self-reported tobacco, alcohol, cannabis, opioids, or cocaine use during pregnancy. We used logistic regression to assess effect modification by race/ethnicity, and confounding of concurrent substances on hypertensive disorders or prior pregnancy. We also investigated early gestational age as a collider or competing risk for pre-eclampsia, using cause-specific Cox models and Fine-Gray models, respectively. Results We replicated the paradox showing smoking to be protective against hypertensive disorders among Black participants who used other substances as well (aOR: 0.61, 95% CI: 0.41, 0.93), but observed null effects for Hispanic participants (aOR: 1.14, 95% CI: 0.55, 2.36). In our cause-specific Cox regression, the effects of tobacco use were reduced to null effects with pre-eclampsia (aOR: 0.81, 95% CI: 0.63, 1.04) after stratifying for preterm birth. For the Fine-Gray competing risk analysis, the paradoxical associations remained. The smoking paradox was either not observed or reversed after accounting for race/ethnicity, other substance use, and collider-stratification due to preterm birth. Conclusions These findings offer new insights into this paradox and underscore the importance of considering multiple sources of bias in assessing the smoking-hypertension association in pregnancy.
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Affiliation(s)
| | - C Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health
| | - X Hong
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health
| | - G Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health
| | - I Burd
- Integrated Research Center for Fetal Medicine, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Z M Sanchez
- Escola Paulista de Medicina, Universidade Federal de São Paulo
| | - X Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - P J Surkan
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health
- Department of International Health, Johns Hopkins Bloomberg School of Public Health
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13
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Garrison-Desany HM, Ladd-Acosta C, Hong X, Wang G, Burd I, Sanchez ZVDM, Wang X, Surkan PJ. Addressing the smoking-hypertension paradox in pregnancy: insight from a multiethnic US birth cohort. Precis Nutr 2023; 2:e00035. [PMID: 37745029 PMCID: PMC10312115 DOI: 10.1097/pn9.0000000000000035] [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] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/17/2023] [Accepted: 03/15/2023] [Indexed: 09/26/2023]
Abstract
Background Smoking during pregnancy has been associated with reduced risk of a spectrum of hypertensive (HTN) disorders, known as the "smoking-hypertension paradox." Objective We sought to test potential epidemiologic explanations for the smoking-hypertension paradox. Methods We analyzed 8510 pregnant people in the Boston Birth Cohort, including 4027 non-Hispanic Black and 2428 Hispanic pregnancies. Study participants self-reported tobacco, alcohol, cannabis, opioids, or cocaine use during pregnancy. We used logistic regression to assess effect modification by race/ethnicity, and confounding of concurrent substances on hypertensive disorders or prior pregnancy. We also investigated early gestational age as a collider or competing risk for pre-eclampsia, using cause-specific Cox models and Fine-Gray models, respectively. Results We replicated the paradox showing smoking to be protective against hypertensive disorders among Black participants who used other substances as well (aOR: 0.61, 95% CI: 0.41, 0.93), but observed null effects for Hispanic participants (aOR: 1.14, 95% CI: 0.55, 2.36). In our cause-specific Cox regression, the effects of tobacco use were reduced to null effects with pre-eclampsia (aOR: 0.81, 95% CI: 0.63, 1.04) after stratifying for preterm birth. For the Fine-Gray competing risk analysis, the paradoxical associations remained. The smoking paradox was either not observed or reversed after accounting for race/ethnicity, other substance use, and collider-stratification due to preterm birth. Conclusions These findings offer new insights into this paradox and underscore the importance of considering multiple sources of bias in assessing the smoking-hypertension association in pregnancy.
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Affiliation(s)
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xiumei Hong
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Guoying Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Irina Burd
- Integrated Research Center for Fetal Medicine, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Xiaobin Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pamela J. Surkan
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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14
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Strathearn L, Momany A, Kovács E, Guiler W, Ladd-Acosta C. The Intersection of Genome, Epigenome and Social Experience in Autism Spectrum Disorder: Exploring Modifiable Pathways for Intervention. Neurobiol Learn Mem 2023; 202:107761. [PMID: 37121464 DOI: 10.1016/j.nlm.2023.107761] [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: 04/12/2022] [Revised: 02/22/2023] [Accepted: 04/22/2023] [Indexed: 05/02/2023]
Abstract
The number of children diagnosed with autism spectrum disorder (ASD) has increased substantially over the past two decades. Current research suggests that both genetic and environmental risk factors are involved in the etiology of ASD. The goal of this paper is to examine how one specific environmental factor, early social experience, may be correlated with DNA methylation (DNAm) changes in genes associated with ASD. We present an innovative model which proposes that polygenic risk and changes in DNAm due to social experience may both contribute to the symptoms of ASD. Previous research on genetic and environmental factors implicated in the etiology of ASD will be reviewed, with an emphasis on the oxytocin receptor gene, which may be epigenetically altered by early social experience, and which plays a crucial role in social and cognitive development. Identifying an environmental risk factor for ASD (e.g., social experience) that could be modified via early intervention and which results in epigenetic (DNAm) changes, could transform our understanding of this condition, facilitate earlier identification of ASD, and guide early intervention efforts.
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Affiliation(s)
- Lane Strathearn
- Stead Family Department of Pediatrics, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, Iowa 52242, USA; Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, 51 Newton Road 2-471 Bowen Science Building, Iowa City, Iowa 52241, USA; Interdisciplinary Graduate Program in Neuroscience, University of Iowa, 356 Medical Research Center, Iowa City, Iowa 52242, USA; Center for Disabilities and Development, University of Iowa Stead Family Children's Hospital, 100 Hawkins Drive, Iowa City, Iowa 52242, USA; Hawkeye Intellectual and Developmental Disabilities Research Center (Hawk-IDDRC), University of Iowa, 100 Hawkins Drive, Iowa City, Iowa 52242, USA.
| | - Allison Momany
- Stead Family Department of Pediatrics, Carver College of Medicine, University of Iowa, 200 Hawkins Drive, Iowa City, Iowa 52242, USA; Hawkeye Intellectual and Developmental Disabilities Research Center (Hawk-IDDRC), University of Iowa, 100 Hawkins Drive, Iowa City, Iowa 52242, USA.
| | - Emese Kovács
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, 51 Newton Road 2-471 Bowen Science Building, Iowa City, Iowa 52241, USA.
| | - William Guiler
- Interdisciplinary Graduate Program in Neuroscience, University of Iowa, 356 Medical Research Center, Iowa City, Iowa 52242, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology and the Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD 21205, USA.
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15
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Feinberg JI, Schrott R, Ladd-Acosta C, Newschaffer CJ, Hertz-Picciotto I, Croen LA, Daniele Fallin M, Feinberg AP, Volk HE. Epigenetic changes in sperm are associated with paternal and child quantitative autistic traits in an autism-enriched cohort. Mol Psychiatry 2023:10.1038/s41380-023-02046-7. [PMID: 37100868 DOI: 10.1038/s41380-023-02046-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 03/16/2023] [Accepted: 03/20/2023] [Indexed: 04/28/2023]
Abstract
There is a need to consider paternal contributions to autism spectrum disorder (ASD) more strongly. Autism etiology is complex, and heritability is not explained by genetics alone. Understanding paternal gametic epigenetic contributions to autism could help fill this knowledge gap. In the present study, we explored whether paternal autistic traits, and the sperm epigenome, were associated with autistic traits in children at 36 months enrolled in the Early Autism Risk Longitudinal Investigation (EARLI) cohort. EARLI is a pregnancy cohort that recruited and enrolled pregnant women in the first half of pregnancy who already had a child with ASD. After maternal enrollment, EARLI fathers were approached and asked to provide a semen specimen. Participants were included in the present study if they had genotyping, sperm methylation data, and Social Responsiveness Scale (SRS) score data available. Using the CHARM array, we performed genome-scale methylation analyses on DNA from semen samples contributed by EARLI fathers. The SRS-a 65-item questionnaire measuring social communication deficits on a quantitative scale-was used to evaluate autistic traits in EARLI fathers (n = 45) and children (n = 31). We identified 94 significant child SRS-associated differentially methylated regions (DMRs), and 14 significant paternal SRS-associated DMRs (fwer p < 0.05). Many child SRS-associated DMRs were annotated to genes implicated in ASD and neurodevelopment. Six DMRs overlapped across the two outcomes (fwer p < 0.1), and, 16 DMRs overlapped with previous child autistic trait findings at 12 months of age (fwer p < 0.05). Child SRS-associated DMRs contained CpG sites independently found to be differentially methylated in postmortem brains of individuals with and without autism. These findings suggest paternal germline methylation is associated with autistic traits in 3-year-old offspring. These prospective results for autism-associated traits, in a cohort with a family history of ASD, highlight the potential importance of sperm epigenetic mechanisms in autism.
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Affiliation(s)
- Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Rose Schrott
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Craig J Newschaffer
- Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, State College, PA, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, MIND (Medical Investigations of Neurodevelopmental Disorders) Institute, University of California, Davis, CA, USA
| | - Lisa A Croen
- Autism Research Program, Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - M Daniele Fallin
- Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Andrew P Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
- Center for Epigenetics, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Heather E Volk
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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Lee Y, Ladd-Acosta C, Morrison AC, North KE, Boerwinkle E, Shah AM, London SJ, Yu B. Abstract P194: Proteomic Profiling of Pulmonary Function Decline and Cardiovascular Disease Risk in the Atherosclerosis Risk in Communities (ARIC) Study. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Introduction:
Measures of pulmonary function are associated with cardiovascular disease risk; however, the underlying mechanism remains unclear.
Hypothesis:
We hypothesize that protein biomarkers are associated with pulmonary function decline, as well as the risk of subsequent incident coronary heart disease (CHD), heart failure (HF), and mortality.
Methods:
We included participants from the Atherosclerosis Risk in Communities (ARIC) study with plasma proteome measured by SOMAscan and spirometric measures (forced expiratory volume in the first second (FEV1) and forced vital capacity (FVC)) at both visits 2 (1990-1992) and 5 (2011-2013). Cross-sectional associations of protein levels with FEV1 and FVC at both visits were assessed using multivariable linear regression. The decline of FEV1 was evaluated among proteins related to cross-sectional FEV1 and FVC measures. The FEV1-decline-related proteins were further probed into the effects on incident CHD, HF, and mortality, using Cox proportional hazard models post-visit 2.
Results:
Out of 4,677 proteins, 364 were cross-sectionally associated with both FEV1 and FVC at visit 2 (n=11,354, age 57, 23% blacks, and 56% women) and 5 (n=3,517, age 75, 17% blacks, and 58% women) at FDR <0.05. Twenty-seven of 364 proteins were associated with FEV1 decline between visits (FDR <0.05). The protein effects were more predominant in women than men (p <0.001). Among 27 FEV1 decline-related proteins, 25 and 27 were associated with incident HF and mortality during an average of 29 years follow-up (FDR <0.05,
Figure
). Gamma-aminobutyric acid receptor-associated protein showed the greatest effect with FEV1 decline, and its per SD increase was associated with 20% higher risk of HF and mortality. Compared to HF and mortality, FEV1 decline-related proteins were less associated with incident CHD.
Conclusions:
Twenty-seven proteins related to pulmonary function decline were heavily associated with the risk of HF and mortality, suggesting shared etiology between those conditions.
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Affiliation(s)
- Yura Lee
- Dept of Epidemiology, Human Genetics and Environmental Sciences, Sch of Public Health, The Univ of Texas Health Science Cntr at Houston, Houston, TX
| | - Christine Ladd-Acosta
- Dept of Epidemiology, Bloomberg Sch of Public Health, Johns Hopkins Univ, Baltimore, MD
| | - Alanna C Morrison
- Dept of Epidemiology, Human Genetics and Environmental Sciences, Sch of Public Health, The Univ of Texas Health Science Cntr at Houston, Houston, TX
| | - Kari E North
- Dept of Epidemiology and Carolina Cntr for Genome Sciences, Sch of Public Health, The Univ of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Eric Boerwinkle
- Dept of Epidemiology, Human Genetics and Environmental Sciences, Sch of Public Health, The Univ of Texas Health Science Cntr at Houston, Houston, TX
| | - Amil M Shah
- Div of Cardiovascular Medicine, Brigham and Women’s Hosp, Boston, MA
| | - Stephanie J London
- Dept of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Rsch Triangle Park, NC
| | - Bing Yu
- Dept of Epidemiology, Human Genetics and Environmental Sciences, Sch of Public Health, The Univ of Texas Health Science Cntr at Houston, Houston, TX
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Ladd-Acosta C, Vang E, Barrett ES, Bulka CM, Bush NR, Cardenas A, Dabelea D, Dunlop AL, Fry RC, Gao X, Goodrich JM, Herbstman J, Hivert MF, Kahn LG, Karagas MR, Kennedy EM, Knight AK, Mohazzab-Hosseinian S, Morin A, Niu Z, O’Shea TM, Palmore M, Ruden D, Schmidt RJ, Smith AK, Song A, Spindel ER, Trasande L, Volk H, Weisenberger DJ, Breton CV. Analysis of Pregnancy Complications and Epigenetic Gestational Age of Newborns. JAMA Netw Open 2023; 6:e230672. [PMID: 36826815 PMCID: PMC9958528 DOI: 10.1001/jamanetworkopen.2023.0672] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 12/30/2022] [Indexed: 02/25/2023] Open
Abstract
Importance Preeclampsia, gestational hypertension, and gestational diabetes, the most common pregnancy complications, are associated with substantial morbidity and mortality in mothers and children. Little is known about the biological processes that link the occurrence of these pregnancy complications with adverse child outcomes; altered biological aging of the growing fetus up to birth is one molecular pathway of increasing interest. Objective To evaluate whether exposure to each of these 3 pregnancy complications (gestational diabetes, gestational hypertension, and preeclampsia) is associated with accelerated or decelerated gestational biological age in children at birth. Design, Setting, and Participants Children included in these analyses were born between 1998 and 2018 and spanned multiple geographic areas of the US. Pregnancy complication information was obtained from maternal self-report and/or medical record data. DNA methylation measures were obtained from blood biospecimens collected from offspring at birth. The study used data from the national Environmental Influences on Child Health Outcomes (ECHO) multisite cohort study collected and recorded as of the August 31, 2021, data lock date. Data analysis was performed from September 2021 to December 2022. Exposures Three pregnancy conditions were examined: gestational hypertension, preeclampsia, and gestational diabetes. Main Outcomes and Measures Accelerated or decelerated biological gestational age at birth, estimated using existing epigenetic gestational age clock algorithms. Results A total of 1801 child participants (880 male [48.9%]; median [range] chronological gestational age at birth, 39 [30-43] weeks) from 12 ECHO cohorts met the analytic inclusion criteria. Reported races included Asian (49 participants [2.7%]), Black (390 participants [21.7%]), White (1026 participants [57.0%]), and other races (92 participants [5.1%]) (ie, American Indian or Alaska Native, Native Hawaiian or other Pacific Islander, multiple races, and other race not specified). In total, 524 participants (29.0%) reported Hispanic ethnicity. Maternal ages ranged from 16 to 45 years of age with a median of 29 in the analytic sample. A range of maternal education levels, from less than high school (260 participants [14.4%]) to Bachelor's degree and above (629 participants [34.9%]), were reported. In adjusted regression models, prenatal exposure to maternal gestational diabetes (β, -0.423; 95% CI, -0.709 to -0.138) and preeclampsia (β, -0.513; 95% CI, -0.857 to -0.170), but not gestational hypertension (β, 0.003; 95% CI, -0.338 to 0.344), were associated with decelerated epigenetic aging among exposed neonates vs those who were unexposed. Modification of these associations, by sex, was observed with exposure to preeclampsia (β, -0.700; 95% CI, -1.189 to -0.210) and gestational diabetes (β, -0.636; 95% CI, -1.070 to -0.200), with associations observed among female but not male participants. Conclusions and Relevance This US cohort study of neonate biological changes related to exposure to maternal pregnancy conditions found evidence that preeclampsia and gestational diabetes delay biological maturity, especially in female offspring.
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Affiliation(s)
- Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Elizabeth Vang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Emily S. Barrett
- Department of Biostatistics and Epidemiology, Environmental and Occupational Health Sciences Institute, Rutgers School of Public Health, Piscataway, New Jersey
| | - Catherine M. Bulka
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Nicole R. Bush
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
- Department of Pediatrics, University of California, San Francisco
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford University, Stanford, California
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Xingyu Gao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Jaclyn M. Goodrich
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor
| | - Julie Herbstman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts
| | - Linda G. Kahn
- Department of Pediatrics, New York University Grossman School of Medicine, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Elizabeth M. Kennedy
- Gangarosa Department of Environmental Health, Emory Rollins School of Public Health, Atlanta, Georgia
| | - Anna K. Knight
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Sahra Mohazzab-Hosseinian
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Andréanne Morin
- Department of Human Genetics, University of Chicago, Chicago, Illinois
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - T. Michael O’Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill
| | - Meredith Palmore
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Douglas Ruden
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan
| | - Rebecca J. Schmidt
- Division of Environmental and Occupational Health and Epidemiology, Department of Public Health Sciences and the MIND Institute, School of Medicine, University of California, Davis
| | - Alicia K. Smith
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Ashley Song
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Eliot R. Spindel
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health & Science University, Beaverton
| | - Leonardo Trasande
- Department of Pediatrics, New York University Grossman School of Medicine, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
| | - Heather Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Daniel J. Weisenberger
- Department of Biochemistry and Molecular Medicine, University of Southern California, Los Angeles
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
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18
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Rajaprakash M, Dean LT, Palmore M, Johnson SB, Kaufman J, Fallin DM, Ladd-Acosta C. DNA methylation signatures as biomarkers of socioeconomic position. Environ Epigenet 2022; 9:dvac027. [PMID: 36694711 PMCID: PMC9869656 DOI: 10.1093/eep/dvac027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 11/22/2022] [Accepted: 12/13/2022] [Indexed: 06/12/2023]
Abstract
This review article provides a framework for the use of deoxyribonucleic acid (DNA) methylation (DNAm) biomarkers to study the biological embedding of socioeconomic position (SEP) and summarizes the latest developments in the area. It presents the emerging literature showing associations between individual- and neighborhood-level SEP exposures and DNAm across the life course. In contrast to questionnaire-based methods of assessing SEP, we suggest that DNAm biomarkers may offer an accessible metric to study questions about SEP and health outcomes, acting as a personal dosimeter of exposure. However, further work remains in standardizing SEP measures across studies and evaluating consistency across domains, tissue types, and time periods. Meta-analyses of epigenetic associations with SEP are offered as one approach to confirm the replication of DNAm loci across studies. The development of DNAm biomarkers of SEP would provide a method for examining its impact on health outcomes in a more robust way, increasing the rigor of epidemiological studies.
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Affiliation(s)
- Meghna Rajaprakash
- Department of Neurology and Developmental Medicine, Kennedy Krieger Institute, Baltimore, MD 21205, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Lorraine T Dean
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Meredith Palmore
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Sara B Johnson
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Joan Kaufman
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Daniele M Fallin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
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19
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Schrott R, Song A, Ladd-Acosta C. Epigenetics as a Biomarker for Early-Life Environmental Exposure. Curr Environ Health Rep 2022; 9:604-624. [PMID: 35907133 DOI: 10.1007/s40572-022-00373-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/27/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW There is interest in evaluating the developmental origins of health and disease (DOHaD) which emphasizes the role of prenatal and early-life environments on non-communicable health outcomes throughout the life course. The ability to rigorously assess and identify early-life risk factors for later health outcomes, including those with childhood onset, in large population samples is often limited due to measurement challenges such as impractical costs associated with prospective studies with a long follow-up duration, short half-lives for some environmental toxicants, and lack of biomarkers that capture inter-individual differences in biologic response to external environments. RECENT FINDINGS Epigenomic patterns, and DNA methylation in particular, have emerged as a potential objective biomarker to address some of these study design and exposure measurement challenges. In this article, we summarize the literature to date on epigenetic changes associated with specific prenatal and early-life exposure domains as well as exposure mixtures in human observational studies and their biomarker potential. Additionally, we highlight evidence for other types of epigenetic patterns to serve as exposure biomarkers. Evidence strongly supports epigenomic biomarkers of exposure that are detectable across the lifespan and across a range of exposure domains. Current and future areas of research in this field seek to expand these lines of evidence to other environmental exposures, to determine their specificity, and to develop predictive algorithms and methylation scores that can be used to evaluate early-life risk factors for health outcomes across the life span.
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Affiliation(s)
- Rose Schrott
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ashley Song
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
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20
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Song AY, Bakulski K, Feinberg JI, Newschaffer C, Croen LA, Hertz-Picciotto I, Schmidt RJ, Farzadegan H, Lyall K, Fallin MD, Volk HE, Ladd-Acosta C. Associations between accelerated parental biologic age, autism spectrum disorder, social traits, and developmental and cognitive outcomes in their children. Autism Res 2022; 15:2359-2370. [PMID: 36189953 PMCID: PMC9722613 DOI: 10.1002/aur.2822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 09/19/2022] [Indexed: 01/11/2023]
Abstract
Parental age is a known risk factor for autism spectrum disorder (ASD), however, studies to identify the biologic changes underpinning this association are limited. In recent years, "epigenetic clock" algorithms have been developed to estimate biologic age and to evaluate how the epigenetic aging impacts health and disease. In this study, we examined the relationship between parental epigenetic aging and their child's prospective risk of ASD and autism related quantitative traits in the Early Autism Risk Longitudinal Investigation study. Estimates of epigenetic age were computed using three robust clock algorithms and DNA methylation measures from the Infinium HumanMethylation450k platform for maternal blood and paternal blood specimens collected during pregnancy. Epigenetic age acceleration was defined as the residual of regressing chronological age on epigenetic age while accounting for cell type proportions. Multinomial logistic regression and linear regression models were completed adjusting for potential confounders for both maternal epigenetic age acceleration (n = 163) and paternal epigenetic age acceleration (n = 80). We found accelerated epigenetic aging in mothers estimated by Hannum's clock was significantly associated with lower cognitive ability and function in offspring at 12 months, as measured by Mullen Scales of Early Learning scores (β = -1.66, 95% CI: -3.28, -0.04 for a one-unit increase). We also observed a marginal association between accelerated maternal epigenetic aging by Horvath's clock and increased odds of ASD in offspring at 36 months of age (aOR = 1.12, 95% CI: 0.99, 1.26). By contrast, fathers accelerated aging was marginally associated with decreased ASD risk in their offspring (aOR = 0.83, 95% CI: 0.68, 1.01). Our findings suggest epigenetic aging could play a role in parental age risks on child brain development.
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Affiliation(s)
- Ashley Y. Song
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
- Wendy Klag Center for Autism and Developmental
Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kelly Bakulski
- Department of Epidemiology, University of Michigan, Ann
Arbor, MI
| | - Jason I. Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
- Wendy Klag Center for Autism and Developmental
Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Craig Newschaffer
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
- College of Health and Human Development, Pennsylvania State
University, State College, PA
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente, Oakland, CA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences and The MIND
Institute, School of Medicine, University of California-Davis, Davis, CA
| | - Rebecca J. Schmidt
- Department of Public Health Sciences and The MIND
Institute, School of Medicine, University of California-Davis, Davis, CA
| | - Homayoon Farzadegan
- Department of Epidemiology, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
| | - Kristen Lyall
- A.J. Drexel Autism Institute, Drexel University,
Philadelphia, PA
| | - M. Daniele Fallin
- Rollins School of Public Health, Emory University, Atlanta,
Georgia, USA
| | - Heather E. Volk
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
- Wendy Klag Center for Autism and Developmental
Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Christine Ladd-Acosta
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
- Wendy Klag Center for Autism and Developmental
Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD
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21
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Lyall K, Ning X, Aschner JL, Avalos LA, Bennett DH, Bilder DA, Bush NR, Carroll KN, Chu SH, Croen LA, Dabelea D, Daniels JL, Duarte C, Elliott AJ, Fallin MD, Ferrara A, Hertz-Picciotto I, Hipwell AE, Jensen ET, Johnson SL, Joseph RM, Karagas M, Kelly RS, Lester BM, Margolis A, McEvoy CT, Messinger D, Neiderhiser JM, O’Connor TG, Oken E, Sathyanarayana S, Schmidt RJ, Sheinkopf SJ, Talge NM, Turi KN, Wright RJ, Zhao Q, Newschaffer C, Volk HE, Ladd-Acosta C, Environmental Influences on Child Health Outcomes OBOPCF. Cardiometabolic Pregnancy Complications in Association With Autism-Related Traits as Measured by the Social Responsiveness Scale in ECHO. Am J Epidemiol 2022; 191:1407-1419. [PMID: 35362025 PMCID: PMC9614927 DOI: 10.1093/aje/kwac061] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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] [Received: 07/19/2021] [Revised: 03/07/2022] [Accepted: 03/25/2022] [Indexed: 01/28/2023] Open
Abstract
Prior work has examined associations between cardiometabolic pregnancy complications and autism spectrum disorder (ASD) but not how these complications may relate to social communication traits more broadly. We addressed this question within the Environmental Influences on Child Health Outcomes program, with 6,778 participants from 40 cohorts conducted from 1998-2021 with information on ASD-related traits via the Social Responsiveness Scale. Four metabolic pregnancy complications were examined individually, and combined, in association with Social Responsiveness Scale scores, using crude and adjusted linear regression as well as quantile regression analyses. We also examined associations stratified by ASD diagnosis, and potential mediation by preterm birth and low birth weight, and modification by child sex and enriched risk of ASD. Increases in ASD-related traits were associated with obesity (β = 4.64, 95% confidence interval: 3.27, 6.01) and gestational diabetes (β = 5.21, 95% confidence interval: 2.41, 8.02), specifically, but not with hypertension or preeclampsia. Results among children without ASD were similar to main analyses, but weaker among ASD cases. There was not strong evidence for mediation or modification. Results suggest that common cardiometabolic pregnancy complications may influence child ASD-related traits, not only above a diagnostic threshold relevant to ASD but also across the population.
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Affiliation(s)
- Kristen Lyall
- Correspondence to Dr. Kristen Lyall, 3020 Market Street, Suite 560, Philadelphia, PA 19104 (e-mail: )
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22
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Song AY, Feinberg JI, Bakulski KM, Croen LA, Fallin MD, Newschaffer CJ, Hertz-Picciotto I, Schmidt RJ, Ladd-Acosta C, Volk HE. Prenatal Exposure to Ambient Air Pollution and Epigenetic Aging at Birth in Newborns. Front Genet 2022; 13:929416. [PMID: 35836579 PMCID: PMC9274082 DOI: 10.3389/fgene.2022.929416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/23/2022] [Indexed: 11/24/2022] Open
Abstract
In utero air pollution exposure has been associated with adverse birth outcomes, yet effects of air pollutants on regulatory mechanisms in fetal growth and critical windows of vulnerability during pregnancy are not well understood. There is evidence that epigenetic alterations may contribute to these effects. DNA methylation (DNAm) based age estimators have been developed and studied extensively with health outcomes in recent years. Growing literature suggests environmental factors, such as air pollution and smoking, can influence epigenetic aging. However, little is known about the effect of prenatal air pollution exposure on epigenetic aging. In this study, we leveraged existing data on prenatal air pollution exposure and cord blood DNAm from 332 mother-child pairs in the Early Autism Risk Longitudinal Investigation (EARLI) and Markers of Autism Risk in Babies-Learning Early Signs (MARBLES), two pregnancy cohorts enrolling women who had a previous child diagnosed with autism spectrum disorder, to assess the relationship of prenatal exposure to air pollution and epigenetic aging at birth. DNAm age was computed using existing epigenetic clock algorithms for cord blood tissue-Knight and Bohlin. Epigenetic age acceleration was defined as the residual of regressing chronological gestational age on DNAm age, accounting for cell type proportions. Multivariable linear regression models and distributed lag models (DLMs), adjusting for child sex, maternal race/ethnicity, study sites, year of birth, maternal education, were completed. In the single-pollutant analysis, we observed exposure to PM2.5, PM10, and O3 during preconception period and pregnancy period were associated with decelerated epigenetic aging at birth. For example, pregnancy average PM10 exposure (per 10 unit increase) was associated with epigenetic age deceleration at birth (weeks) for both Knight and Bohlin clocks (β = -0.62, 95% CI: -1.17, -0.06; β = -0.32, 95% CI: -0.63, -0.01, respectively). Weekly DLMs revealed that increasing PM2.5 during the first trimester and second trimester were associated with decelerated epigenetic aging and that increasing PM10 during the preconception period was associated with decelerated epigenetic aging, using the Bohlin clock estimate. Prenatal ambient air pollution exposure, particularly in early and mid-pregnancy, was associated with decelerated epigenetic aging at birth.
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Affiliation(s)
- Ashley Y. Song
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Jason I. Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Kelly M. Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente, Oakland, CA, United States
| | - M. Daniele Fallin
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Craig J. Newschaffer
- College of Health and Human Development, Pennsylvania State University, State College, PA, United States
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, UC Davis, Davis CA and the UC Davis MIND Institute, Sacramento, CA, United States
| | - Rebecca J. Schmidt
- Department of Public Health Sciences, UC Davis, Davis CA and the UC Davis MIND Institute, Sacramento, CA, United States
| | - Christine Ladd-Acosta
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Heather E. Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
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23
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Garrison-Desany HM, Hong X, Maher BS, Beaty TH, Wang G, Pearson C, Liang L, Wang X, Ladd-Acosta C. Individual and Combined Association Between Prenatal Polysubstance Exposure and Childhood Risk of Attention-Deficit/Hyperactivity Disorder. JAMA Netw Open 2022; 5:e221957. [PMID: 35275164 PMCID: PMC8917426 DOI: 10.1001/jamanetworkopen.2022.1957] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
IMPORTANCE Polysubstance use among pregnant women has increased because of the opioid epidemic and the increasing legalization of cannabis along with persistent tobacco and alcohol consumption. Previous research on prenatal substance use and the child's risk of attention-deficit/hyperactivity disorder (ADHD) has mostly focused on single-substance exposures; simultaneous examination of multiple substance use and assessment of their synergistic health consequences is needed. OBJECTIVES To assess the consequences of the use of specific substances during pregnancy, investigate whether the interaction of multiple prenatal substance exposures is associated with increases in the risk of childhood ADHD, and estimate the aggregate burden of polysubstance exposure during gestation. DESIGN, SETTING, AND PARTICIPANTS This cohort study analyzed data from the Boston Birth Cohort from 1998 to 2019. The sample of the present study comprised a multiethnic urban cohort of mother-child pairs who were predominantly low income. A total of 3138 children who were enrolled shortly after birth at Boston Medical Center were included and followed up from age 6 months to 21 years. EXPOSURES Substance use during pregnancy was identified based on self-reported tobacco smoking, alcohol consumption, and use of cannabis, cocaine, or opioids in any trimester of pregnancy. Diagnostic codes for neonatal opioid withdrawal syndrome or neonatal abstinence syndrome from the International Classification of Diseases, Ninth Revision, and the International Classification of Diseases, Tenth Revision, were also used to identify opioid exposure during gestation. MAIN OUTCOMES AND MEASURES ADHD diagnosis in the child's electronic medical record. RESULTS Among 3138 children (1583 boys [50.4%]; median age, 12 years [IQR, 9-14 years]; median follow-up, 10 years [IQR, 7-12 years]) in the final analytic sample, 486 (15.5%) had an ADHD diagnosis and 2652 (84.5%) were neurotypical. The median postnatal follow-up duration was 12 years (IQR, 9-14 years). Among mothers, 46 women (1.5%) self-identified as Asian (non-Pacific Islander), 701 (22.3%) as Hispanic, 1838 (58.6%) as non-Hispanic Black, 227 (7.2%) as non-Hispanic White, and 326 (10.4%) as other races and/or ethnicities (including American Indian or Indigenous, Cape Verdean, Pacific Islander, multiracial, other, or unknown). A total of 759 women (24.2%) reported the use of at least 1 substance during pregnancy, with tobacco being the most frequently reported (580 women [18.5%]). Cox proportional hazards models revealed that opioid exposure (60 children) had the highest adjusted hazard ratio (HR) for ADHD (2.19; 95% CI, 1.10-4.37). After including main statistical effects of all individual substances in an elastic net regression model, the HR of opioids was reduced to 1.60, and evidence of a statistical interaction between opioids and both cannabis and alcohol was found, producing 1.42 and 1.15 times higher risk of ADHD, respectively. The interaction between opioids and smoking was also associated with a higher risk of ADHD (HR, 1.17). CONCLUSIONS AND RELEVANCE The findings of this study suggest that it is important to consider prenatal concurrent exposure to multiple substances and their possible interactions when counseling women regarding substance use during pregnancy, the future risk of ADHD for their children, and strategies for cessation and treatment programs.
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Affiliation(s)
- Henri M. Garrison-Desany
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Xiumei Hong
- Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Brion S. Maher
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Terri H. Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Guoying Wang
- Center on Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Colleen Pearson
- Department of Pediatrics, Boston Medical Center, Boston, Massachusetts
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Xiaobin Wang
- Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore MD
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
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24
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Qu X, Lee LC, Ladd-Acosta C, Hong X, Ji Y, Kalb LG, Volk HE, Wang X. Association between atopic diseases and neurodevelopmental disabilities in a longitudinal birth cohort. Autism Res 2022; 15:740-750. [PMID: 35112480 PMCID: PMC8995375 DOI: 10.1002/aur.2680] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 10/27/2021] [Accepted: 12/16/2021] [Indexed: 12/22/2022]
Abstract
Reports on the association between the prevalence of atopic diseases and neurodevelopmental disabilities (NDs) have been inconsistent in the literature. We investigated whether autism spectrum disorder (ASD), attention deficit-hyperactivity disorders (ADHD), and other NDs are more prevalent in children with asthma, atopic dermatitis (AD) and allergic rhinitis (AR) compared to those without specific atopic conditions. A total of 2580 children enrolled at birth were followed prospectively, of which 119 have ASD, 423 have ADHD, 765 have other NDs, and 1273 have no NDs. Atopic diseases and NDs were defined based on physician diagnoses in electronic medical records. Logistic regressions adjusting for maternal and child characteristics estimated the associations between NDs (i.e., ASD, ADHD, and other NDs) and asthma, AD and AR, respectively. Children with asthma, AD or AR had a greater likelihood of having ADHD or other NDs compared with children without specific atopic conditions. The association between ASD and asthma diminished after adjusting for maternal and child factors. Either mothers or children having atopic conditions and both mothers and children with atopic conditions were associated with a higher prevalence of ADHD in children, compared with neither mothers nor children having atopic conditions. Children diagnosed with multiple atopic diseases were more likely to have NDs compared with those without or with only one type of atopic disease. In conclusion, in this U.S. urban birth cohort, children with atopic diseases had a higher co-morbidity of NDs. The findings have implications for etiologic research that searches for common early life antecedents of NDs and atopic conditions. Findings from this study also should raise awareness among health care providers and parents about the possible co-occurrence of both NDs and atopic conditions, which calls for coordinated efforts to screen, prevent and manage NDs and atopic conditions.
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Affiliation(s)
- Xueqi Qu
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Li-Ching Lee
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Xiumei Hong
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Yuelong Ji
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Luther G Kalb
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.,Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - Heather E Volk
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Xiaobin Wang
- Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.,Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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25
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Bakulski KM, Dou JF, Feinberg JI, Aung MT, Ladd-Acosta C, Volk HE, Newschaffer CJ, Croen LA, Hertz-Picciotto I, Levy SE, Landa R, Feinberg AP, Fallin MD. Autism-Associated DNA Methylation at Birth From Multiple Tissues Is Enriched for Autism Genes in the Early Autism Risk Longitudinal Investigation. Front Mol Neurosci 2021; 14:775390. [PMID: 34899183 PMCID: PMC8655859 DOI: 10.3389/fnmol.2021.775390] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [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: 09/13/2021] [Accepted: 10/28/2021] [Indexed: 12/30/2022] Open
Abstract
Background: Pregnancy measures of DNA methylation, an epigenetic mark, may be associated with autism spectrum disorder (ASD) development in children. Few ASD studies have considered prospective designs with DNA methylation measured in multiple tissues and tested overlap with ASD genetic risk loci. Objectives: To estimate associations between DNA methylation in maternal blood, cord blood, and placenta and later diagnosis of ASD, and to evaluate enrichment of ASD-associated DNA methylation for known ASD-associated genes. Methods: In the Early Autism Risk Longitudinal Investigation (EARLI), an ASD-enriched risk birth cohort, genome-scale maternal blood (early n = 140 and late n = 75 pregnancy), infant cord blood (n = 133), and placenta (maternal n = 106 and fetal n = 107 compartments) DNA methylation was assessed on the Illumina 450k HumanMethylation array and compared to ASD diagnosis at 36 months of age. Differences in site-specific and global methylation were tested with ASD, as well as enrichment of single site associations for ASD risk genes (n = 881) from the Simons Foundation Autism Research Initiative (SFARI) database. Results: No individual DNA methylation site was associated with ASD at genome-wide significance, however, individual DNA methylation sites nominally associated with ASD (P < 0.05) in each tissue were highly enriched for SFARI genes (cord blood P = 7.9 × 10-29, maternal blood early pregnancy P = 6.1 × 10-27, maternal blood late pregnancy P = 2.8 × 10-16, maternal placenta P = 5.6 × 10-15, fetal placenta P = 1.3 × 10-20). DNA methylation sites nominally associated with ASD across all five tissues overlapped at 144 (29.5%) SFARI genes. Conclusion: DNA methylation sites nominally associated with later ASD diagnosis in multiple tissues were enriched for ASD risk genes. Our multi-tissue study demonstrates the utility of examining DNA methylation prior to ASD diagnosis.
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Affiliation(s)
- Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - John F Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Jason I Feinberg
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.,Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States.,Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Max T Aung
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Heather E Volk
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.,Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States
| | - Craig J Newschaffer
- College of Health and Human Development, Penn State University, State College, PA, United States
| | - Lisa A Croen
- Kaiser Permanente Division of Research, Oakland, CA, United States
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA, United States.,MIND Institute, University of California, Davis, Davis, CA, United States
| | - Susan E Levy
- Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Rebecca Landa
- Kennedy Krieger Institute Center for Autism and Related Disorders, Baltimore, MD, United States
| | - Andrew P Feinberg
- Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD, United States.,Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.,Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Margaret D Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.,Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, United States.,Center for Epigenetics, Johns Hopkins School of Medicine, Baltimore, MD, United States
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26
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Tin A, Schlosser P, Matias-Garcia PR, Thio CHL, Joehanes R, Liu H, Yu Z, Weihs A, Hoppmann A, Grundner-Culemann F, Min JL, Kuhns VLH, Adeyemo AA, Agyemang C, Ärnlöv J, Aziz NA, Baccarelli A, Bochud M, Brenner H, Bressler J, Breteler MMB, Carmeli C, Chaker L, Coresh J, Corre T, Correa A, Cox SR, Delgado GE, Eckardt KU, Ekici AB, Endlich K, Floyd JS, Fraszczyk E, Gao X, Gào X, Gelber AC, Ghanbari M, Ghasemi S, Gieger C, Greenland P, Grove ML, Harris SE, Hemani G, Henneman P, Herder C, Horvath S, Hou L, Hurme MA, Hwang SJ, Kardia SLR, Kasela S, Kleber ME, Koenig W, Kooner JS, Kronenberg F, Kühnel B, Ladd-Acosta C, Lehtimäki T, Lind L, Liu D, Lloyd-Jones DM, Lorkowski S, Lu AT, Marioni RE, März W, McCartney DL, Meeks KAC, Milani L, Mishra PP, Nauck M, Nowak C, Peters A, Prokisch H, Psaty BM, Raitakari OT, Ratliff SM, Reiner AP, Schöttker B, Schwartz J, Sedaghat S, Smith JA, Sotoodehnia N, Stocker HR, Stringhini S, Sundström J, Swenson BR, van Meurs JBJ, van Vliet-Ostaptchouk JV, Venema A, Völker U, Winkelmann J, Wolffenbuttel BHR, Zhao W, Zheng Y, Loh M, Snieder H, Waldenberger M, Levy D, Akilesh S, Woodward OM, Susztak K, Teumer A, Köttgen A. Epigenome-wide association study of serum urate reveals insights into urate co-regulation and the SLC2A9 locus. Nat Commun 2021; 12:7173. [PMID: 34887389 PMCID: PMC8660809 DOI: 10.1038/s41467-021-27198-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 11/08/2021] [Indexed: 12/25/2022] Open
Abstract
Elevated serum urate levels, a complex trait and major risk factor for incident gout, are correlated with cardiometabolic traits via incompletely understood mechanisms. DNA methylation in whole blood captures genetic and environmental influences and is assessed in transethnic meta-analysis of epigenome-wide association studies (EWAS) of serum urate (discovery, n = 12,474, replication, n = 5522). The 100 replicated, epigenome-wide significant (p < 1.1E-7) CpGs explain 11.6% of the serum urate variance. At SLC2A9, the serum urate locus with the largest effect in genome-wide association studies (GWAS), five CpGs are associated with SLC2A9 gene expression. Four CpGs at SLC2A9 have significant causal effects on serum urate levels and/or gout, and two of these partly mediate the effects of urate-associated GWAS variants. In other genes, including SLC7A11 and PHGDH, 17 urate-associated CpGs are associated with conditions defining metabolic syndrome, suggesting that these CpGs may represent a blood DNA methylation signature of cardiometabolic risk factors. This study demonstrates that EWAS can provide new insights into GWAS loci and the correlation of serum urate with other complex traits.
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Affiliation(s)
- Adrienne Tin
- Department of Medicine, University of Mississippi Medical Center, Jackson, 39216, MS, USA.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Pascal Schlosser
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Pamela R Matias-Garcia
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Chris H L Thio
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Roby Joehanes
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hongbo Liu
- Department of Medicine and Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, PA, USA
| | - Zhi Yu
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Antoine Weihs
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Anselm Hoppmann
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Franziska Grundner-Culemann
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Josine L Min
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles Agyemang
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, the Netherlands
| | - Johan Ärnlöv
- Department of Neurobiology, Care Sciences and Society (NVS), Family Medicine and Primary Care Unit, Karolinska Institutet, Huddinge, Sweden
- School of Health and Social Studies, Dalarna University, Falun, Sweden
| | - Nasir A Aziz
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Andrea Baccarelli
- Laboratory of Environmental Precision Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Murielle Bochud
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Hermann Brenner
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jan Bressler
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, 77030, TX, USA
| | - Monique M B Breteler
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Cristian Carmeli
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
- Population Health Laboratory, University of Fribourg, Fribourg, Switzerland
| | - Layal Chaker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Tanguy Corre
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, 39216, MS, USA
| | - Simon R Cox
- Lothian Birth Cohorts Group, Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Graciela E Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Arif B Ekici
- Institute of Human Genetics, Friedrich-Alexander-UniversitätErlangen-Nürnberg, 91054, Erlangen, Germany
| | - Karlhans Endlich
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - James S Floyd
- Department of Medicine, University of Washington, Seattle, 98101, WA, USA
- Department of Epidemiology, University of Washington, Seattle, 98101, WA, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, 98101, WA, USA
| | - Eliza Fraszczyk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Xu Gao
- Laboratory of Environmental Precision Health, Mailman School of Public Health, Columbia University, New York, NY, USA
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xīn Gào
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
| | - Allan C Gelber
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Sahar Ghasemi
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Megan L Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, 77030, TX, USA
| | - Sarah E Harris
- Lothian Birth Cohorts Group, Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Peter Henneman
- Department of Clinical Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, 90095, CA, USA
- Biostatistics, Fielding School of Public Health, UCLA, Los Angeles, CA, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Shih-Jen Hwang
- Framingham Heart Study, Framingham, MA, USA
- Division of Intramural Research, Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, 48109, MI, USA
| | - Silva Kasela
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Marcus E Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- SYNLAB MVZ Humangenetik Mannheim, Mannheim, Germany
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Jaspal S Kooner
- National Heart and Lung Institute, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Southall, UK
- Imperial College Healthcare NHS Trust, London, UK
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Brigitte Kühnel
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Centre, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Dan Liu
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Stefan Lorkowski
- Institute of Nutritional Sciences, Friedrich Schiller University Jena, Jena, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Jena, Germany
| | - Ake T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, 90095, CA, USA
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Jena, Germany
- Synlab Academy, SYNLAB Holding Deutschland GmbH, Mannheim and Augsburg, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Karlijn A C Meeks
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, the Netherlands
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Pashupati P Mishra
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Centre, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Matthias Nauck
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society (NVS), Family Medicine and Primary Care Unit, Karolinska Institutet, Huddinge, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- Ludwig-Maximilians Universität München, Munich, Germany
| | - Holger Prokisch
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Computational Health, Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
| | - Bruce M Psaty
- Department of Medicine, University of Washington, Seattle, 98101, WA, USA
- Department of Epidemiology, University of Washington, Seattle, 98101, WA, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, 98101, WA, USA
- Department of Health Services, University of Washington, Seattle, 98101, WA, USA
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, 48109, MI, USA
| | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, 98101, WA, USA
| | - Ben Schöttker
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sanaz Sedaghat
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, 48109, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, University of Washington, Seattle, 98101, WA, USA
| | - Hannah R Stocker
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Silvia Stringhini
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Brenton R Swenson
- Cardiovascular Health Research Unit, University of Washington, Seattle, 98101, WA, USA
- Institute for Public Health Genetics, University of Washington, Seattle, WA, USA
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jana V van Vliet-Ostaptchouk
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Andrea Venema
- Department of Clinical Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
| | - Uwe Völker
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Juliane Winkelmann
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
- Chair Neurogenetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Bruce H R Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, 48109, MI, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Marie Loh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich, Germany
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shreeram Akilesh
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Owen M Woodward
- Department of Physiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Katalin Susztak
- Department of Medicine and Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, PA, USA
| | - Alexander Teumer
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
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Kim W, Moll M, Qiao D, Hobbs BD, Shrine N, Sakornsakolpat P, Tobin MD, Dudbridge F, Wain LV, Ladd-Acosta C, Chatterjee N, Silverman EK, Cho MH, Beaty TH. Interaction of Cigarette Smoking and Polygenic Risk Score on Reduced Lung Function. JAMA Netw Open 2021; 4:e2139525. [PMID: 34913977 PMCID: PMC8678715 DOI: 10.1001/jamanetworkopen.2021.39525] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
IMPORTANCE The risk of airflow limitation and chronic obstructive pulmonary disease (COPD) is influenced by combinations of cigarette smoking and genetic susceptibility, yet it remains unclear whether gene-by-smoking interactions are associated with quantitative measures of lung function. OBJECTIVE To assess the interaction of cigarette smoking and polygenic risk score in association with reduced lung function. DESIGN, SETTING, AND PARTICIPANTS This UK Biobank cohort study included UK citizens of European ancestry aged 40 to 69 years with genetic and spirometry data passing quality control metrics. Data was analyzed from July 2020 to March 2021. EXPOSURES PRS of combined forced expiratory volume in 1 second (FEV1) and percent of forced vital capacity exhaled in the first second (FEV1/FVC), self-reported pack-years of smoking, ever- vs never-smoking status, and current- vs former- or never-smoking status. MAIN OUTCOMES AND MEASURES FEV1/FVC was the primary outcome. Models were used to test for interactions with models, including the main effects of PRS, different smoking variables, and their cross-product terms. The association between pack-years of smoking and FEV1/FVC were compared for those in the highest vs lowest decile of estimated genetic risk for low lung function. RESULTS We included 319 730 individuals, of whom 24 915 (8%) had moderate-to-severe COPD cases, and 44.4% were men. Participants had a mean (SD) age 56.5 of (8.02) years. The PRS and pack-years were significantly associated with lower FEV1/FVC (PRS: β, -0.03; 95% CI, -0.031 to -0.03; pack-years: β, -0.0064; 95% CI, -0.0064 to -0.0063) and the interaction term (β, -0.0028; 95% CI, -0.0029 to -0.0026). A stepwise increment in estimated effect sizes for these interaction terms was observed per 10 pack-years of smoking exposure. The interaction of PRS with 11 to 20, 31 to 40, and more than 50 pack-years categories were β (interaction) -0.0038 (95% CI, -0.0046 to -0.0031); -0.013 (95% CI, -0.014 to -0.012); and -0.017 (95% CI, -0.019 to -0.016), respectively. There was evidence of significant interaction between PRS with ever- or never- smoking status (β, interaction; -0.0064; 95% CI, -0.0068 to -0.0060) and current or not-current smoking (β, interaction; -0.0091; 95% CI, -0.0097 to -0.0084). For any given level of pack-years of smoking exposure, FEV1/FVC was significantly lower for individuals in the tenth decile (ie, highest risk) than the first decile (ie, lowest risk) of genetic risk. For every 20 pack-years of smoking, those in the tenth decile compared with the first decile of genetic risk showed nearly a 2-fold reduction in FEV1/FVC. CONCLUSIONS AND RELEVANCE COPD is characterized by diminished lung function, and our analyses suggest there is substantial interaction between genome-wide PRS and smoking exposures. While smoking was associated with decreased lung function across all genetic risk categories, the associations were strongest in individuals with higher estimated genetic risk.
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Affiliation(s)
- Woori Kim
- Systems Biology and Computer Science Program, Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Brian D. Hobbs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Nick Shrine
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Phuwanat Sakornsakolpat
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Martin D. Tobin
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Louise V. Wain
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, Maryland
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Michael H. Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Terri H. Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Schendel D, Munk Laursen T, Albiñana C, Vilhjalmsson B, Ladd-Acosta C, Fallin MD, Benke K, Lee B, Grove J, Kalkbrenner A, Ejlskov L, Hougaard D, Bybjerg-Grauholm J, Baekvad-Hansen M, Børglum AD, Werge T, Nordentoft M, Mortensen PB, Agerbo E. Evaluating the interrelations between the autism polygenic score and psychiatric family history in risk for autism. Autism Res 2021; 15:171-182. [PMID: 34664785 DOI: 10.1002/aur.2629] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [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: 05/22/2021] [Revised: 09/19/2021] [Accepted: 10/01/2021] [Indexed: 01/25/2023]
Abstract
Psychiatric family history or a high autism polygenic risk score (PRS) have been separately linked to autism spectrum disorder (ASD) risk. The study aimed to simultaneously consider psychiatric family history and individual autism genetic liability (PRS) in autism risk. We performed a case-control study of all Denmark singleton births, May 1981-December 2005, in Denmark at their first birthday and a known mother. Cases were diagnosed with ASD before 2013 and controls comprised a random sample of 30,000 births without ASD, excluding persons with non-Denmark-born parents, missing ASD PRS, non-European ancestry. Adjusted odds ratios (aOR) were estimated for ASD by PRS decile and by psychiatric history in parents or full siblings (8 mutually-exclusive categories) using logistic regression. Adjusted ASD PRS z-score least-squares means were estimated by psychiatric family history category. ASD risk (11,339 ASD cases; 20,175 controls) from ASD PRS was not substantially altered after accounting for psychiatric family history (e.g., ASD PRS 10th decile aOR: 2.35 (95% CI 2.11-2.63) before vs 2.11 (95% CI 1.91-2.40) after adjustment) nor from psychiatric family history after accounting for ASD PRS (e.g., ASD family history aOR: 6.73 (95% CI 5.89-7.68) before vs 6.32 (95% CI 5.53-7.22) after adjustment). ASD risk from ASD PRS varied slightly by psychiatric family history. While ASD risk from psychiatric family history was not accounted for by ASD PRS and vice versa, risk overlap between the two factors will likely increase as measures of genetic risk improve. The two factors are best viewed as complementary measures of family-based autism risk. LAY SUMMARY: Autism risk from a history of mental disorders in the immediate family was not explained by a measure of individual genetic risk (autism polygenic risk score) and vice versa. That is, genetic risk did not appear to overlap family history risk. As genetic measures for autism improve then the overlap in autism risk from family history versus genetic factors will likely increase, but further study may be needed to fully determine the components of risk and how they are inter-related between these key family factors. Meanwhile, the two factors may be best viewed as complementary measures of autism family-based risk.
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Affiliation(s)
- Diana Schendel
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Department of Public Health, Aarhus University, Aarhus, Denmark.,National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark.,A. J. Drexel Autism Institute, Drexel University, Philadelphia, USA
| | - Thomas Munk Laursen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark
| | - Clara Albiñana
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark
| | - Bjarni Vilhjalmsson
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Margaret Danielle Fallin
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kelly Benke
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Brian Lee
- A. J. Drexel Autism Institute, Drexel University, Philadelphia, USA.,Drexel University Dornsife School of Public Health, Philadelphia, USA.,Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Jakob Grove
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark.,Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark.,Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark.,Centre for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Amy Kalkbrenner
- University of Wisconsin Milwaukee, Joseph J Zilber School of Public Health, Milwaukee, Wisconsin, USA
| | - Linda Ejlskov
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark
| | - David Hougaard
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Jonas Bybjerg-Grauholm
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Marie Baekvad-Hansen
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Anders D Børglum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Centre for Integrative Sequencing, iSEQ, Aarhus University, Aarhus, Denmark.,Department of Biomedicine - Human Genetics, Aarhus University, Aarhus, Denmark.,Centre for Genomics and Personalized Medicine, Aarhus, Denmark
| | - Thomas Werge
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,Mental Health Center Copenhagen, Copenhagen, Denmark
| | - Preben Bo Mortensen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark.,Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
| | - Esben Agerbo
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.,National Centre for Register-Based Research (NCRR), Department of Economics and Business, Aarhus University, Aarhus, Denmark.,Centre for Integrated Register-based Research (CIRRAU), Aarhus University, Aarhus, Denmark
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29
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Haghani A, Feinberg JI, Lewis KC, Ladd-Acosta C, Johnson RG, Jaffe AE, Sioutas C, Finch CE, Campbell DB, Morgan TE, Volk HE. Cerebral cortex and blood transcriptome changes in mouse neonates prenatally exposed to air pollution particulate matter. J Neurodev Disord 2021; 13:30. [PMID: 34429070 PMCID: PMC8383458 DOI: 10.1186/s11689-021-09380-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 08/10/2021] [Indexed: 12/15/2022] Open
Abstract
Background Prenatal exposure to air pollutants is associated with increased risk for neurodevelopmental and neurodegenerative disorders. However, few studies have identified transcriptional changes related to air pollutant exposure. Methods RNA sequencing was used to examine transcriptomic changes in blood and cerebral cortex of three male and three female mouse neonates prenatally exposed to traffic-related nano-sized particulate matter (nPM) compared to three male and three female mouse neonates prenatally exposed to control filter air. Results We identified 19 nPM-associated differentially expressed genes (nPM-DEGs) in blood and 124 nPM-DEGs in cerebral cortex. The cerebral cortex transcriptional responses to nPM suggested neuroinflammation involvement, including CREB1, BDNF, and IFNγ genes. Both blood and brain tissues showed nPM transcriptional changes related to DNA damage, oxidative stress, and immune responses. Three blood nPM-DEGs showed a canonical correlation of 0.98 with 14 nPM-DEGS in the cerebral cortex, suggesting a convergence of gene expression changes in blood and cerebral cortex. Exploratory sex-stratified analyses suggested a higher number of nPM-DEGs in female cerebral cortex than male cerebral cortex. The sex-stratified analyses identified 2 nPM-DEGs (Rgl2 and Gm37534) shared between blood and cerebral cortex in a sex-dependent manner. Conclusions Our findings suggest that prenatal nPM exposure induces transcriptional changes in the cerebral cortex, some of which are also observed in blood. Further research is needed to replicate nPM-induced transcriptional changes with additional biologically relevant time points for brain development. Supplementary Information The online version contains supplementary material available at 10.1186/s11689-021-09380-3.
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Affiliation(s)
- Amin Haghani
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.,Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Jason I Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kristy C Lewis
- Department of Pediatrics and Human Development, Michigan State University, Grand Rapids, MI, USA
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Richard G Johnson
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Andrew E Jaffe
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Lieber Institute for Brain Development, Baltimore, MD, USA.,Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA.,Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Constantinos Sioutas
- Department of Civil and Environmental Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Caleb E Finch
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Daniel B Campbell
- Department of Pediatrics and Human Development, Michigan State University, Grand Rapids, MI, USA
| | - Todd E Morgan
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
| | - Heather E Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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30
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Ames JL, Ladd-Acosta C, Fallin MD, Qian Y, Schieve LA, DiGuiseppi C, Lee LC, Kasten EP, Zhou G, Pinto-Martin J, Howerton E, Eaton CL, Croen LA. Maternal Psychiatric Conditions, Treatment With Selective Serotonin Reuptake Inhibitors, and Neurodevelopmental Disorders. Biol Psychiatry 2021; 90:253-262. [PMID: 34116791 PMCID: PMC8504533 DOI: 10.1016/j.biopsych.2021.04.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 01/19/2021] [Revised: 04/06/2021] [Accepted: 04/07/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND This study aims to clarify relationships of maternal psychiatric conditions and selective serotonin reuptake inhibitor (SSRI) use during preconception and pregnancy with risk of neurodevelopmental disorders in offspring. METHODS We used data from the Study to Explore Early Development, a multisite case-control study conducted in the United States among children born between 2003 and 2011. Final study group classifications of autism spectrum disorder (ASD) (n = 1367), developmental delays or disorders (DDs) (n = 1750), and general population controls (n = 1671) were determined by an in-person standardized developmental assessment. Maternal psychiatric conditions and SSRI use during pregnancy were ascertained from both self-report and medical records. We used logistic regression to evaluate associations of ASD and DDs (vs. population controls) with maternal psychiatric conditions and SSRI treatment in pregnancy. To reduce confounding by indication, we also examined SSRI associations in analyses restricted to mothers with psychiatric conditions during pregnancy. RESULTS Psychiatric conditions and SSRI use during pregnancy were significantly more common among mothers of children with either ASD or DDs than among population controls. Odds of ASD were similarly elevated among mothers with psychiatric conditions who did not use SSRIs during pregnancy (adjusted odds ratio 1.81, 95% confidence interval 1.44-2.27) as in mothers who did use SSRIs (adjusted odds ratio 2.05, 95% confidence interval 1.50-2.80). Among mothers with psychiatric conditions, SSRI use was not significantly associated with ASD in offspring (adjusted odds ratio 1.14, 95% confidence interval 0.80-1.62). Primary findings for DDs exhibited similar relationships to those observed with ASD. CONCLUSIONS Maternal psychiatric conditions but not use of SSRIs during pregnancy were associated with increased risk of neurodevelopmental disorders in offspring.
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Affiliation(s)
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - M. Daniele Fallin
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Yinge Qian
- Division of Research, Kaiser Permanente, Oakland, CA
| | | | - Carolyn DiGuiseppi
- Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Li-Ching Lee
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Eric P. Kasten
- Clinical and Translational Sciences Institute, Michigan State University, East Lansing, MI
| | - Guoli Zhou
- Clinical and Translational Sciences Institute, Michigan State University, East Lansing, MI
| | - Jennifer Pinto-Martin
- School of Nursing and Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ellen Howerton
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Christopher L. Eaton
- The Permanente Medical Group, Kaiser Permanente Medical Center, San Francisco, CA
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente, Oakland, CA
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31
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Ejlskov L, Wulff JN, Kalkbrenner A, Ladd-Acosta C, Fallin MD, Agerbo E, Mortensen PB, Lee BK, Schendel D. Prediction of Autism Risk From Family Medical History Data Using Machine Learning: A National Cohort Study From Denmark. Biological Psychiatry Global Open Science 2021; 1:156-164. [PMID: 36324994 PMCID: PMC9616292 DOI: 10.1016/j.bpsgos.2021.04.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/09/2021] [Accepted: 04/18/2021] [Indexed: 11/15/2022] Open
Abstract
Background A family history of specific disorders (e.g., autism, depression, epilepsy) has been linked to risk for autism spectrum disorder (ASD). This study examines whether family history data could be used for ASD risk prediction. Methods We followed all Danish live births, from 1980 to 2012, of Denmark-born parents for an ASD diagnosis through April 10, 2017 (N = 1,697,231 births; 26,840 ASD cases). Linking each birth to three-generation family members, we identified 438 morbidity indicators, comprising 73 disorders reported prospectively for each family member. We tested various models using a machine learning approach. From the best-performing model, we calculated a family history risk score and estimated odds ratios and 95% confidence intervals for the risk of ASD. Results The best-performing model comprised 41 indicators: eight mental conditions (e.g., ASD, attention-deficit/hyperactivity disorder, neurotic/stress disorders) and nine nonmental conditions (e.g., obesity, hypertension, asthma) across six family member types; model performance was similar in training and test subsamples. The highest risk score group had 17.0% ASD prevalence and a 15.3-fold (95% confidence interval, 14.0–17.1) increased ASD risk compared with the lowest score group, which had 0.6% ASD prevalence. In contrast, individuals with a full sibling with ASD had 9.5% ASD prevalence and a 6.1-fold (95% confidence interval, 5.9–6.4) higher risk than individuals without an affected sibling. Conclusions Family history of multiple mental and nonmental conditions can identify more individuals at highest risk for ASD than only considering the immediate family history of ASD. A comprehensive family history may be critical for a clinically relevant ASD risk prediction framework in the future.
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Affiliation(s)
- Linda Ejlskov
- Department of Economics and Business, National Center for Register-based Research, Aarhus University, Aarhus, Denmark
- Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Jesper N. Wulff
- Department of Econometrics and Business Analytics, Aarhus University, Aarhus, Denmark
| | - Amy Kalkbrenner
- Joseph J Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - M. Danielle Fallin
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Esben Agerbo
- Department of Economics and Business, National Center for Register-based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
- Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Preben Bo Mortensen
- Department of Economics and Business, National Center for Register-based Research, Aarhus University, Aarhus, Denmark
- Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
- Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Brian K. Lee
- Department of Epidemiology and Biostatistics, Drexel University, Philadelphia, Pennsylvania
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania
| | - Diana Schendel
- Department of Economics and Business, National Center for Register-based Research, Aarhus University, Aarhus, Denmark
- Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania
- Address correspondence to Diana Schendel, Ph.D.
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Lyall K, Hosseini M, Ladd-Acosta C, Ning X, Catellier D, Constantino JN, Croen LA, Kaat AJ, Botteron K, Bush NR, Dager SR, Duarte CS, Fallin MD, Hazlett H, Hertz-Picciotto I, Joseph RM, Karagas MR, Korrick S, Landa R, Messinger D, Oken E, Ozonoff S, Piven J, Pandey J, Sathyanarayana S, Schultz RT, St John T, Schmidt R, Volk H, Newschaffer CJ. Distributional Properties and Criterion Validity of a Shortened Version of the Social Responsiveness Scale: Results from the ECHO Program and Implications for Social Communication Research. J Autism Dev Disord 2021; 51:2241-2253. [PMID: 32944847 PMCID: PMC7965796 DOI: 10.1007/s10803-020-04667-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Prior work proposed a shortened version of the Social Responsiveness Scale (SRS), a commonly used quantitative measure of social communication traits. We used data from 3031 participants (including 190 ASD cases) from the Environmental Influences on Child Health Outcomes (ECHO) Program to compare distributional properties and criterion validity of 16-item "short" to 65-item "full" SRS scores. Results demonstrated highly overlapping distributions of short and full scores. Both scores separated case from non-case individuals by approximately two standard deviations. ASD prediction was nearly identical for short and full scores (area under the curve values of 0.87, 0.86 respectively). Findings support comparability of shortened and full scores, suggesting opportunities to increase efficiency. Future work should confirm additional psychometric properties of short scores.
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Affiliation(s)
- Kristen Lyall
- A.J. Drexel Autism Institute, Drexel University, 3020 Market St, Philadelphia, PA, 19104, USA.
| | - Mina Hosseini
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xuejuan Ning
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | - Lisa A Croen
- Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Aaron J Kaat
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Kelly Botteron
- Departments of Psychiatry and Radiology, Washington University, St Louis, MO, USA
| | - Nicole R Bush
- Departments of Psychiatry and Pediatrics, University of California San Francisco, San Francisco, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Cristiane S Duarte
- Division of Child and Adolescent Psychiatry, Columbia University, New York State Psychiatric Institute, New York, NY, USA
| | - M Daniele Fallin
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Heather Hazlett
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, UC Davis, Davis, CA, USA
- MIND Institute, UC Davis, Sacramento, CA, USA
| | - Robert M Joseph
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, USA
| | - Susan Korrick
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rebecca Landa
- Department of Psychiatry and Behavioral Sciences, Kennedy Krieger Institute, Johns Hopkins University, Baltimore, MD, USA
| | - Daniel Messinger
- Departments of Psychology and Pediatrics, University of Miami, Coral Gables, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
| | - Sally Ozonoff
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California Davis, Sacramento, CA, USA
| | - Joseph Piven
- Carolina Institute for Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA
| | - Juhi Pandey
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Sheela Sathyanarayana
- Department of Pediatrics, University of Washington and Seattle Children's Research Institute, Seattle, USA
| | | | - Tanya St John
- Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Rebecca Schmidt
- Department of Public Health Sciences, UC Davis, Davis, CA, USA
- MIND Institute, UC Davis, Sacramento, CA, USA
| | - Heather Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Craig J Newschaffer
- A.J. Drexel Autism Institute, Drexel University, 3020 Market St, Philadelphia, PA, 19104, USA
- College of Health and Human Development, Pennsylvania State University, State College, USA
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33
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Aung MT, M Bakulski K, Feinberg JI, F Dou J, D Meeker J, Mukherjee B, Loch-Caruso R, Ladd-Acosta C, Volk HE, Croen LA, Hertz-Picciotto I, Newschaffer CJ, Fallin MD. Maternal blood metal concentrations and whole blood DNA methylation during pregnancy in the Early Autism Risk Longitudinal Investigation (EARLI). Epigenetics 2021; 17:253-268. [PMID: 33794742 DOI: 10.1080/15592294.2021.1897059] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The maternal epigenome may be responsive to prenatal metals exposures. We tested whether metals are associated with concurrent differential maternal whole blood DNA methylation. In the Early Autism Risk Longitudinal Investigation cohort, we measured first or second trimester maternal blood metals concentrations (cadmium, lead, mercury, manganese, and selenium) using inductively coupled plasma mass spectrometry. DNA methylation in maternal whole blood was measured on the Illumina 450 K array. A subset sample of 97 women had both measures available for analysis, all of whom did not report smoking during pregnancy. Linear regression was used to test for site-specific associations between individual metals and DNA methylation, adjusting for cell type composition and confounding variables. Discovery gene ontology analysis was conducted on the top 1,000 sites associated with each metal. We observed hypermethylation at 11 DNA methylation sites associated with lead (FDR False Discovery Rate q-value <0.1), near the genes CYP24A1, ASCL2, FAT1, SNX31, NKX6-2, LRC4C, BMP7, HOXC11, PCDH7, ZSCAN18, and VIPR2. Lead-associated sites were enriched (FDR q-value <0.1) for the pathways cell adhesion, nervous system development, and calcium ion binding. Manganese was associated with hypermethylation at four DNA methylation sites (FDR q-value <0.1), one of which was near the gene ARID2. Manganese-associated sites were enriched for cellular metabolism pathways (FDR q-value<0.1). Effect estimates for DNA methylation sites associated (p < 0.05) with cadmium, lead, and manganese were highly correlated (Pearson ρ > 0.86). DNA methylation sites associated with lead and manganese may be potential biomarkers of exposure or implicate downstream gene pathways.
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Affiliation(s)
- Max T Aung
- Department of Biostatistics, University of Michigan, Ann Arbor, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Baltimore, USA.,Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.,Center for Epigenetics, School of Medicine, Johns Hopkins University, Baltimore, USA
| | - John F Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - John D Meeker
- Department of Environmental Health, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan, Ann Arbor, USA.,Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Rita Loch-Caruso
- Department of Environmental Health, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Baltimore, USA.,Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Heather E Volk
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Baltimore, USA.,Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
| | - Lisa A Croen
- Division of Research, Kaiser Permanente, Oakland, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, USA
| | - Craig J Newschaffer
- Department of Biobehavioral Health, College of Health and Human Development, Penn State University, USA
| | - M Daniele Fallin
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Baltimore, USA.,Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA
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34
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Fields VL, Soke GN, Reynolds A, Tian LH, Wiggins L, Maenner M, DiGuiseppi C, Kral TVE, Hightshoe K, Ladd-Acosta C, Schieve LA. Association between pica and gastrointestinal symptoms in preschoolers with and without autism spectrum disorder: Study to Explore Early Development. Disabil Health J 2020; 14:101052. [PMID: 33358227 DOI: 10.1016/j.dhjo.2020.101052] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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] [Received: 07/01/2020] [Revised: 10/16/2020] [Accepted: 12/09/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND Pica, the repeated ingestion of nonfood items, can result in gastrointestinal (GI) outcomes. Children with autism spectrum disorder (ASD) and other developmental disabilities (DDs) are disproportionately affected by both pica and GI symptoms. Study of the inter-relationship between pica, GI symptoms, and ASD/DD is limited. OBJECTIVE/HYPOTHESIS We assessed associations between pica and GI symptoms in preschool-aged children with and without ASD and other (non-ASD) DDs in the Study to Explore Early Development. METHODS Our sample included children with ASD (n = 1244), other DDs (n = 1593), and population (POP) controls (n = 1487). Data to define final case-control status, pica, and GI symptoms were from standardized developmental assessments/questionnaires. Prevalence ratios, adjusted for sociodemographic factors (aPRs), and 95% confidence intervals were derived from modified Poisson regression. RESULTS Within each group (ASD, DD, POP) and for the total sample, pica was associated with vomiting (aPR for total sample 2.6 [1.7, 4.0]), diarrhea (1.8 [1.4, 2.2]), and loose stools (1.8 [1.4, 2.2]). In the DD group, pica was associated with constipation (1.4 [1.03, 1.9]) and pain on stooling (1.8 [1.2, 2.6]). In analyses of the subgroup without pica, increases in GI symptoms were still evident in the ASD and DD groups compared to POP group. CONCLUSION These findings highlight an important adverse effect of pica, GI symptoms, in children with and without ASD and DDs; nonetheless, pica does not fully explain the increased risk for GI symptoms among children with ASD and DDs. These findings inform the specialized healthcare needs of children with ASD and other DDs.
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Affiliation(s)
- Victoria L Fields
- Epidemic Intelligence Service Officer, Centers for Disease Control and Prevention, USA; National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Gnakub N Soke
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ann Reynolds
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Lin H Tian
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Lisa Wiggins
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Matthew Maenner
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Carolyn DiGuiseppi
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tanja V E Kral
- School of Nursing and Perelman School of Medicine, Department of Biobehavioral Health Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Kristina Hightshoe
- Department of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | | | - Laura A Schieve
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA
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35
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Holingue C, Brucato M, Ladd-Acosta C, Hong X, Volk H, Mueller NT, Wang X, Fallin MD. Interaction between Maternal Immune Activation and Antibiotic Use during Pregnancy and Child Risk of Autism Spectrum Disorder. Autism Res 2020; 13:2230-2241. [PMID: 33067915 DOI: 10.1002/aur.2411] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [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: 02/26/2020] [Revised: 09/28/2020] [Accepted: 09/29/2020] [Indexed: 12/11/2022]
Abstract
Prenatal exposure to maternal immune activation (MIA) has been implicated as a risk factor for the development of autism spectrum disorder (ASD), though the conditions under which this elevated risk occurs are unclear. Animal literature demonstrates that antibiotic use, which affects the composition of the maternal gut microbiota, modifies the effect of MIA on neurodevelopmental outcomes in the offspring. The aim of this study was to assess whether antibiotic use during pregnancy modifies the association between MIA and subsequent risk of ASD, in a prospective birth cohort with 116 ASD cases and 860 typically developing (TD) child controls. There was no evidence of interaction between fever or genitourinary infection and antibiotic use on the odds of ASD in unadjusted or adjusted analyzes. However, we found evidence of an interaction between flu, specifically in second trimester, and antibiotic use at any point during pregnancy on the odds of ASD in the child. Among women who received an antibiotic during pregnancy, flu in trimester two was not associated with ASD (adjusted odds ratio [aOR] = 0.99 [0.43-2.28]). Among women who were not exposed to an antibiotic at any point during pregnancy, flu in second trimester was significantly associated with increased odds of ASD (aOR = 4.05 [1.14-14.38], P = .03), after adjustment for child sex, child birth year, maternal age, gestational age, C-section delivery, and low birthweight. These findings should be treated as hypothesis-generating and suggest that antibiotic use may modify the influence that MIA has on autism risk in the child. LAY SUMMARY: We looked at whether the association between activation of the immune system during pregnancy and risk of the child developing autism spectrum disorder (ASD) differed among women who did or did not take an antibiotic at any point during pregnancy. We examined 116 children with ASD and 860 without ASD and found that flu in second trimester was associated with increased ASD, but only among women who did not take an antibiotic during pregnancy. No other immune activation exposures seemed to interact with antibiotic use.
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Affiliation(s)
- Calliope Holingue
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Martha Brucato
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Medical Scientist Training Program, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Xiumei Hong
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,The Center on the Early Life Origins of Disease, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Heather Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Noel T Mueller
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Xiaobin Wang
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,The Center on the Early Life Origins of Disease, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - M Daniele Fallin
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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36
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Troisi J, Autio R, Beopoulos T, Bravaccio C, Carraturo F, Corrivetti G, Cunningham S, Devane S, Fallin D, Fetissov S, Gea M, Giorgi A, Iris F, Joshi L, Kadzielski S, Kraneveld A, Kumar H, Ladd-Acosta C, Leader G, Mannion A, Maximin E, Mezzelani A, Milanesi L, Naudon L, Peralta Marzal LN, Perez Pardo P, Prince NZ, Rabot S, Roeselers G, Roos C, Roussin L, Scala G, Tuccinardi FP, Fasano A. Genome, Environment, Microbiome and Metabolome in Autism (GEMMA) Study Design: Biomarkers Identification for Precision Treatment and Primary Prevention of Autism Spectrum Disorders by an Integrated Multi-Omics Systems Biology Approach. Brain Sci 2020; 10:E743. [PMID: 33081368 PMCID: PMC7603049 DOI: 10.3390/brainsci10100743] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 10/07/2020] [Accepted: 10/14/2020] [Indexed: 12/26/2022] Open
Abstract
Autism Spectrum Disorder (ASD) affects approximately 1 child in 54, with a 35-fold increase since 1960. Selected studies suggest that part of the recent increase in prevalence is likely attributable to an improved awareness and recognition, and changes in clinical practice or service availability. However, this is not sufficient to explain this epidemiological phenomenon. Research points to a possible link between ASD and intestinal microbiota because many children with ASD display gastro-intestinal problems. Current large-scale datasets of ASD are limited in their ability to provide mechanistic insight into ASD because they are predominantly cross-sectional studies that do not allow evaluation of perspective associations between early life microbiota composition/function and later ASD diagnoses. Here we describe GEMMA (Genome, Environment, Microbiome and Metabolome in Autism), a prospective study supported by the European Commission, that follows at-risk infants from birth to identify potential biomarker predictors of ASD development followed by validation on large multi-omics datasets. The project includes clinical (observational and interventional trials) and pre-clinical studies in humanized murine models (fecal transfer from ASD probands) and in vitro colon models. This will support the progress of a microbiome-wide association study (of human participants) to identify prognostic microbiome signatures and metabolic pathways underlying mechanisms for ASD progression and severity and potential treatment response.
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Affiliation(s)
- Jacopo Troisi
- Theoreo srl spin off company of the University of Salerno, Via degli Ulivi, 3, 84090 Montecorvino Pugliano (SA), Italy;
| | - Reija Autio
- Faculty of Social Sciences, Health Sciences Unit, Tampere University, Arvo Ylpön Katu 34, 33014 Tampere, Finland;
| | - Thanos Beopoulos
- Bio-Modeling System, 3, Rue De L’arrivee. 75015 Paris, France; (T.B.); (M.G.); (F.I.)
| | - Carmela Bravaccio
- Department of science medicine translational, University of Naples Federico II, Via Pansini 5, 80131 Naples, Italy;
| | | | - Giulio Corrivetti
- Azienda Sanitaria Locale (ASL) Salerno, Via Nizza, 146, 84125 Salerno (SA), Italy;
| | - Stephen Cunningham
- National University of Ireland Galaway, University Road, Galaway, Ireland; (S.C.); (L.J.); (G.L.); (A.M.)
| | - Samantha Devane
- Massachusetts General Hospital, Fruit Street, 55, Boston, MA 02114, USA; (S.D.); (S.K.)
| | - Daniele Fallin
- John Hopkins School of Public Health and the Wendy Klag Center for Autism and Developmental Disabilities, 615 N. Wolfe St, Baltimore, MD 21205, USA; (D.F.); (C.L.-A.)
| | - Serguei Fetissov
- Laboratory of Neuronal and Neuroendocrine Differentiation and Communication, Inserm UMR 1239, Rouen University of Normandy, 25 rue Tesnière, 76130 Mont-Saint-Aignan, France;
| | - Manuel Gea
- Bio-Modeling System, 3, Rue De L’arrivee. 75015 Paris, France; (T.B.); (M.G.); (F.I.)
| | | | - François Iris
- Bio-Modeling System, 3, Rue De L’arrivee. 75015 Paris, France; (T.B.); (M.G.); (F.I.)
| | - Lokesh Joshi
- National University of Ireland Galaway, University Road, Galaway, Ireland; (S.C.); (L.J.); (G.L.); (A.M.)
| | - Sarah Kadzielski
- Massachusetts General Hospital, Fruit Street, 55, Boston, MA 02114, USA; (S.D.); (S.K.)
| | - Aletta Kraneveld
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3508 TB Utrecht, The Netherlands; (A.K.); (L.N.P.M.); (P.P.P.); (N.Z.P.)
| | - Himanshu Kumar
- Danone Nutricia Research, Uppsalalaan, 12, 3584 CT Utrecht, The Netherlands; (H.K.); (R.G.)
| | - Christine Ladd-Acosta
- John Hopkins School of Public Health and the Wendy Klag Center for Autism and Developmental Disabilities, 615 N. Wolfe St, Baltimore, MD 21205, USA; (D.F.); (C.L.-A.)
| | - Geraldine Leader
- National University of Ireland Galaway, University Road, Galaway, Ireland; (S.C.); (L.J.); (G.L.); (A.M.)
| | - Arlene Mannion
- National University of Ireland Galaway, University Road, Galaway, Ireland; (S.C.); (L.J.); (G.L.); (A.M.)
| | - Elise Maximin
- Institut National de Recherche Pour L’agriculture, L’alimentation et L’environnement (INRAE), AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350 Jouy-en-Josas, France; (E.M.); (L.N.); (S.R.); (L.R.)
| | - Alessandra Mezzelani
- Consiglio Nazionale delle Ricerche (CNR), Piazzale Aldo Moro, 7, 00185 Roma, Italy; (A.M.); (L.M.)
| | - Luciano Milanesi
- Consiglio Nazionale delle Ricerche (CNR), Piazzale Aldo Moro, 7, 00185 Roma, Italy; (A.M.); (L.M.)
| | - Laurent Naudon
- Institut National de Recherche Pour L’agriculture, L’alimentation et L’environnement (INRAE), AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350 Jouy-en-Josas, France; (E.M.); (L.N.); (S.R.); (L.R.)
| | - Lucia N. Peralta Marzal
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3508 TB Utrecht, The Netherlands; (A.K.); (L.N.P.M.); (P.P.P.); (N.Z.P.)
| | - Paula Perez Pardo
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3508 TB Utrecht, The Netherlands; (A.K.); (L.N.P.M.); (P.P.P.); (N.Z.P.)
| | - Naika Z. Prince
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3508 TB Utrecht, The Netherlands; (A.K.); (L.N.P.M.); (P.P.P.); (N.Z.P.)
| | - Sylvie Rabot
- Institut National de Recherche Pour L’agriculture, L’alimentation et L’environnement (INRAE), AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350 Jouy-en-Josas, France; (E.M.); (L.N.); (S.R.); (L.R.)
| | - Guus Roeselers
- Danone Nutricia Research, Uppsalalaan, 12, 3584 CT Utrecht, The Netherlands; (H.K.); (R.G.)
| | | | - Lea Roussin
- Institut National de Recherche Pour L’agriculture, L’alimentation et L’environnement (INRAE), AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350 Jouy-en-Josas, France; (E.M.); (L.N.); (S.R.); (L.R.)
| | - Giovanni Scala
- Theoreo srl spin off company of the University of Salerno, Via degli Ulivi, 3, 84090 Montecorvino Pugliano (SA), Italy;
| | | | - Alessio Fasano
- European Biomedical Research Institute of Salerno (EBRIS), Via S. de Renzi, 3, 84125 Salerno (SA), Italy;
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37
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Haghani A, Johnson RG, Woodward NC, Feinberg JI, Lewis K, Ladd-Acosta C, Safi N, Jaffe AE, Sioutas C, Allayee H, Campbell DB, Volk HE, Finch CE, Morgan TE. Adult mouse hippocampal transcriptome changes associated with long-term behavioral and metabolic effects of gestational air pollution toxicity. Transl Psychiatry 2020; 10:218. [PMID: 32636363 PMCID: PMC7341755 DOI: 10.1038/s41398-020-00907-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 06/11/2020] [Accepted: 06/18/2020] [Indexed: 12/30/2022] Open
Abstract
Gestational exposure to air pollution increases the risk of autism spectrum disorder and cognitive impairments with unresolved molecular mechanisms. This study exposed C57BL/6J mice throughout gestation to urban-derived nanosized particulate matter (nPM). Young adult male and female offspring were studied for behavioral and metabolic changes using forced swim test, fat gain, glucose tolerance, and hippocampal transcriptome. Gestational nPM exposure caused increased depressive behaviors, decreased neurogenesis in the dentate gyrus, and increased glucose tolerance in adult male offspring. Both sexes gained fat and body weight. Gestational nPM exposure induced 29 differentially expressed genes (DEGs) in adult hippocampus related to cytokine production, IL17a signaling, and dopamine degradation in both sexes. Stratification by sex showed twofold more DEGs in males than females (69 vs 37), as well as male-specific enrichment of DEGs mediating serotonin signaling, endocytosis, Gαi, and cAMP signaling. Gene co-expression analysis (WCGNA) identified a module of 43 genes with divergent responses to nPM between the sexes. Chronic changes in 14 DEGs (e.g., microRNA9-1) were associated with depressive behaviors, adiposity and glucose intolerance. These genes enriched neuroimmune pathways such as HMGB1 and TLR4. Based on cerebral cortex transcriptome data of neonates, we traced the initial nPM responses of HMGB1 pathway. In vitro, mixed glia responded to 24 h nPM with lower HMGB1 protein and increased proinflammatory cytokines. This response was ameliorated by TLR4 knockdown. In sum, we identified transcriptional changes that could be associated with air pollution-mediated behavioral and phenotypic changes. These identified genes merit further mechanistic studies for therapeutic intervention development.
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Affiliation(s)
- Amin Haghani
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
| | - Richard G. Johnson
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
| | - Nicholas C. Woodward
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
| | - Jason I. Feinberg
- grid.21107.350000 0001 2171 9311Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Kristy Lewis
- grid.17088.360000 0001 2150 1785Department of Pediatrics and Human Development, Michigan State University College of Human Medicine, Grand Rapids, MI USA
| | - Christine Ladd-Acosta
- grid.21107.350000 0001 2171 9311Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Nikoo Safi
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
| | - Andrew E. Jaffe
- grid.429552.dLieber Institute of Brain Development, Johns Hopkins Medical Campus, Baltimore, MD USA
| | - Constantinos Sioutas
- grid.42505.360000 0001 2156 6853Department of Civil and Environmental Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA USA
| | - Hooman Allayee
- grid.42505.360000 0001 2156 6853Department of Preventive Medicine, University of Southern California, Los Angeles, CA USA
| | - Daniel B. Campbell
- grid.17088.360000 0001 2150 1785Department of Pediatrics and Human Development, Michigan State University College of Human Medicine, Grand Rapids, MI USA
| | - Heather E. Volk
- grid.21107.350000 0001 2171 9311Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA
| | - Caleb E. Finch
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
| | - Todd E. Morgan
- grid.42505.360000 0001 2156 6853Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA USA
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Lyall K, Song L, Botteron K, Croen LA, Dager SR, Fallin MD, Hazlett HC, Kauffman E, Landa R, Ladd-Acosta C, Messinger DS, Ozonoff S, Pandey J, Piven J, Schmidt RJ, Schultz RT, Stone WL, Newschaffer CJ, Volk HE. The Association Between Parental Age and Autism-Related Outcomes in Children at High Familial Risk for Autism. Autism Res 2020; 13:998-1010. [PMID: 32314879 PMCID: PMC7396152 DOI: 10.1002/aur.2303] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 03/20/2020] [Accepted: 03/24/2020] [Indexed: 12/19/2022]
Abstract
Advanced parental age is a well-replicated risk factor for autism spectrum disorder (ASD), a neurodevelopmental condition with a complex and not well-defined etiology. We sought to determine parental age associations with ASD-related outcomes in subjects at high familial risk for ASD. A total of 397 younger siblings of a child with ASD, drawn from existing prospective high familial risk cohorts, were included in these analyses. Overall, we did not observe significant associations of advanced parental age with clinical ASD diagnosis, Social Responsiveness Scale, or Vineland Adaptive Behavior Scales scores. Instead, increased odds of ASD were found with paternal age < 30 years (adjusted odds ratio [AOR] = 2.83 and 95% confidence intervals [CI] = 1.14-7.02). Likewise, younger age (<30 years) for both parents was associated with decreases in Mullen Scales of Early Learning early learning composite (MSEL-ELC) scores (adjusted β = -9.62, 95% CI = -17.1 to -2.15). We also found significant increases in cognitive functioning based on MSEL-ELC scores with increasing paternal age (adjusted β associated with a 10-year increase in paternal age = 5.51, 95% CI = 0.70-10.3). Results suggest the potential for a different relationship between parental age and ASD-related outcomes in families with elevated ASD risk than has been observed in general population samples. Autism Res 2020, 13: 998-1010. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Previous work suggests that older parents have a greater likelihood of having a child with autism. We investigated this relationship in the younger siblings of families who already had a child with autism. In this setting, we found a higher likelihood of autism, as well as poorer cognitive scores, in the siblings with younger fathers, and higher cognitive scores in the siblings with older parents. These results suggest that parental age associations may differ based on children's familial risk for autism.
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Affiliation(s)
- Kristen Lyall
- AJ Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania, USA
| | - Lanxin Song
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kelly Botteron
- Department of Psychiatry, Washington University, St Louis, Missouri, USA
| | - Lisa A Croen
- Kaiser Permanente Division of Research, Oakland, California, USA
| | - Stephen R Dager
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - M Daniele Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Heather C Hazlett
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Elizabeth Kauffman
- AJ Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania, USA
| | - Rebecca Landa
- Department of Psychiatry and Behavioral Sciences, Center for Autism and Related Disorders, Kennedy Krieger Institute, Johns Hopkins University, Baltimore, Maryland, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - Sally Ozonoff
- MIND Institute, Department of Psychiatry and Behavioral Sciences, University of California Davis, Sacramento, California, USA
| | - Juhi Pandey
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Rebecca J Schmidt
- Department of Public Health, University of California Davis, Davis, California, USA
- MIND Institute, University of California Davis, Sacramento, California, USA
| | - Robert T Schultz
- Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Wendy L Stone
- Department of Psychology, University of Washington, Seattle, Washington, USA
| | - Craig J Newschaffer
- College of Health and Human Development, Pennsylvania State University, State College, Pennsylvania, USA
| | - Heather E Volk
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
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Hollander JA, Cory-Slechta DA, Jacka FN, Szabo ST, Guilarte TR, Bilbo SD, Mattingly CJ, Moy SS, Haroon E, Hornig M, Levin ED, Pletnikov MV, Zehr JL, McAllister KA, Dzierlenga AL, Garton AE, Lawler CP, Ladd-Acosta C. Beyond the looking glass: recent advances in understanding the impact of environmental exposures on neuropsychiatric disease. Neuropsychopharmacology 2020; 45:1086-1096. [PMID: 32109936 PMCID: PMC7234981 DOI: 10.1038/s41386-020-0648-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 02/17/2020] [Indexed: 12/22/2022]
Abstract
The etiologic pathways leading to neuropsychiatric diseases remain poorly defined. As genomic technologies have advanced over the past several decades, considerable progress has been made linking neuropsychiatric disorders to genetic underpinnings. Interest and consideration of nongenetic risk factors (e.g., lead exposure and schizophrenia) have, in contrast, lagged behind heritable frameworks of explanation. Thus, the association of neuropsychiatric illness to environmental chemical exposure, and their potential interactions with genetic susceptibility, are largely unexplored. In this review, we describe emerging approaches for considering the impact of chemical risk factors acting alone and in concert with genetic risk, and point to the potential role of epigenetics in mediating exposure effects on transcription of genes implicated in mental disorders. We highlight recent examples of research in nongenetic risk factors in psychiatric disorders that point to potential shared biological mechanisms-synaptic dysfunction, immune alterations, and gut-brain interactions. We outline new tools and resources that can be harnessed for the study of environmental factors in psychiatric disorders. These tools, combined with emerging experimental evidence, suggest that there is a need to broadly incorporate environmental exposures in psychiatric research, with the ultimate goal of identifying modifiable risk factors and informing new treatment strategies for neuropsychiatric disease.
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Affiliation(s)
- Jonathan A Hollander
- Genes, Environment and Health Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA.
| | - Deborah A Cory-Slechta
- Department of Environmental Medicine, Box EHSC, University of Rochester Medical Center, Rochester, NY, USA
| | - Felice N Jacka
- Food & Mood Centre, IMPACT SRC, School of Medicine, Deakin University, Geelong, VIC, Australia
- iMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, Deakin University, Geelong, VIC, Australia
- Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Black Dog Institute, Sydney, NSW, Australia
- James Cook University, Townsville, QLD, Australia
| | - Steven T Szabo
- Duke University Medical Center, Durham, NC, USA
- Durham Veterans Affairs Medical Center, Durham, NC, USA
| | - Tomás R Guilarte
- Department of Environmental Health Sciences Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
| | - Staci D Bilbo
- Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Carolyn J Mattingly
- Department of Biological Sciences, Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
| | - Sheryl S Moy
- Department of Psychiatry and Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ebrahim Haroon
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Mady Hornig
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Edward D Levin
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Mikhail V Pletnikov
- Departments of Psychiatry, Neuroscience, Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Julia L Zehr
- Developmental Mechanisms and Trajectories of Psychopathology Branch, National Institute of Mental Health, NIH, Rockville, MD, USA
| | - Kimberly A McAllister
- Genes, Environment and Health Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Anika L Dzierlenga
- Genes, Environment and Health Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Amanda E Garton
- Genes, Environment and Health Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Cindy P Lawler
- Genes, Environment and Health Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology and Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins University, Baltimore, MD, USA
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40
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Domingo-Relloso A, Riffo-Campos AL, Haack K, Rentero-Garrido P, Ladd-Acosta C, Fallin DM, Tang WY, Herreros-Martinez M, Gonzalez JR, Bozack AK, Cole SA, Navas-Acien A, Tellez-Plaza M. Cadmium, Smoking, and Human Blood DNA Methylation Profiles in Adults from the Strong Heart Study. Environ Health Perspect 2020; 128:67005. [PMID: 32484362 PMCID: PMC7265996 DOI: 10.1289/ehp6345] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
BACKGROUND The epigenetic effects of individual environmental toxicants in tobacco remain largely unexplored. Cadmium (Cd) has been associated with smoking-related health effects, and its concentration in tobacco smoke is higher in comparison with other metals. OBJECTIVES We studied the association of Cd and smoking exposures with human blood DNA methylation (DNAm) profiles. We also evaluated the implication of findings to relevant methylation pathways and the potential contribution of Cd exposure from smoking to explain the association between smoking and site-specific DNAm. METHODS We conducted an epigenome-wide association study of urine Cd and self-reported smoking (current and former vs. never, and cumulative smoking dose) with blood DNAm in 790,026 CpGs (methylation sites) measured with the Illumina Infinium Human MethylationEPIC (Illumina Inc.) platform in 2,325 adults 45-74 years of age who participated in the Strong Heart Study in 1989-1991. In a mediation analysis, we estimated the amount of change in DNAm associated with smoking that can be independently attributed to increases in urine Cd concentrations from smoking. We also conducted enrichment analyses and in silico protein-protein interaction networks to explore the biological relevance of the findings. RESULTS At a false discovery rate (FDR)-corrected level of 0.05, we found 6 differentially methylated positions (DMPs) for Cd; 288 and 17, respectively, for current and former smoking status; and 77 for cigarette pack-years. Enrichment analyses of these DMPs displayed enrichment of 58 and 6 Gene Ontology and Kyoto Encyclopedia of Genes and Genomes gene sets, respectively, including biological pathways for cancer and cardiovascular disease. In in silico protein-to-protein networks, we observed key proteins in DNAm pathways directly and indirectly connected to Cd- and smoking-DMPs. Among DMPs that were significant for both Cd and current smoking (annotated to PRSS23, AHRR, F2RL3, RARA, and 2q37.1), we found statistically significant contributions of Cd to smoking-related DNAm. CONCLUSIONS Beyond replicating well-known smoking epigenetic signatures, we found novel DMPs related to smoking. Moreover, increases in smoking-related Cd exposure were associated with differential DNAm. Our integrative analysis supports a biological link for Cd and smoking-associated health effects, including the possibility that Cd is partly responsible for smoking toxicity through epigenetic changes. https://doi.org/10.1289/EHP6345.
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Affiliation(s)
- Arce Domingo-Relloso
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
- Department of Chronic Diseases Epidemiology, National Center of Epidemiology, Carlos III Health Institute, Madrid, Spain
- Department of Statistics and Operations Research, University of Valencia, Spain
| | | | - Karin Haack
- Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Pilar Rentero-Garrido
- Precision Medicine Unit, Institute for Biomedical Research INCLIVA, Valencia, Spain
- Department of Mental Health, Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Daniele M Fallin
- Department of Mental Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Wan Yee Tang
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Juan R Gonzalez
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER en Epidemiología y Salud Pública (CIBERESP), National Center of Epidemiology, Carlos III Health Institute, Madrid, Spain
| | - Anne K Bozack
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Shelley A Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Maria Tellez-Plaza
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, Maryland, USA
- Area of Cardiometabolic and Renal Risk, Institute for Biomedical Research INCLIVA, Valencia, Spain
- Department of Chronic Diseases Epidemiology, National Center of Epidemiology, Carlos III Health Institute, Madrid, Spain
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41
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Hannon E, Schendel D, Ladd-Acosta C, Grove J, Hansen CS, Hougaard DM, Bresnahan M, Mors O, Hollegaard MV, Bækvad-Hansen M, Hornig M, Mortensen PB, Børglum AD, Werge T, Pedersen MG, Nordentoft M, Buxbaum JD, Daniele Fallin M, Bybjerg-Grauholm J, Reichenberg A, Mill J. Variable DNA methylation in neonates mediates the association between prenatal smoking and birth weight. Philos Trans R Soc Lond B Biol Sci 2020; 374:20180120. [PMID: 30966880 DOI: 10.1098/rstb.2018.0120] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
There is great interest in the role epigenetic variation induced by non-genetic exposures may play in the context of health and disease. In particular, DNA methylation has previously been shown to be highly dynamic during the earliest stages of development and is influenced by in utero exposures such as maternal smoking and medication. In this study we sought to identify the specific DNA methylation differences in blood associated with prenatal and birth factors, including birth weight, gestational age and maternal smoking. We quantified neonatal methylomic variation in 1263 infants using DNA isolated from a unique collection of archived blood spots taken shortly after birth (mean = 6.08 days; s.d. = 3.24 days). An epigenome-wide association study (EWAS) of gestational age and birth weight identified 4299 and 18 differentially methylated positions (DMPs) respectively, at an experiment-wide significance threshold of p < 1 × 10-7. Our EWAS of maternal smoking during pregnancy identified 110 DMPs in neonatal blood, replicating previously reported genomic loci, including AHRR. Finally, we tested the hypothesis that DNA methylation mediates the relationship between maternal smoking and lower birth weight, finding evidence that methylomic variation at three DMPs may link exposure to outcome. These findings complement an expanding literature on the epigenomic consequences of prenatal exposures and obstetric factors, confirming a link between the maternal environment and gene regulation in neonates. This article is part of the theme issue 'Developing differences: early-life effects and evolutionary medicine'.
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Affiliation(s)
- Eilis Hannon
- 1 University of Exeter Medical School, University of Exeter , Exeter , UK
| | - Diana Schendel
- 2 Department of Public Health, Aarhus University , Aarhus , Denmark.,3 National Centre for Register-Based Research, Aarhus University , Aarhus , Denmark.,8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark
| | - Christine Ladd-Acosta
- 9 Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD , USA.,10 Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD , USA
| | - Jakob Grove
- 4 Centre for Integrative Sequencing, iSEQ, Aarhus University , Aarhus , Denmark.,5 Department of Biomedicine - Human Genetics, Aarhus University , Aarhus , Denmark.,6 Bioinformatics Research Centre, Aarhus University , Aarhus , Denmark.,8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark.,12 Centre for Genomics and Personalized Medicine , Aarhus , Denmark
| | - Christine Søholm Hansen
- 8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark.,13 Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut , Copenhagen , Denmark.,14 Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services , Copenhagen , Denmark
| | - David Michael Hougaard
- 8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark.,13 Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut , Copenhagen , Denmark
| | - Michaeline Bresnahan
- 15 Center for Infection and Immunity, Columbia University Mailman School of Public Health , New York, NY , USA
| | - Ole Mors
- 8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark.,17 Psychosis Research Unit, Aarhus University Hospital , Risskov , Denmark
| | - Mads Vilhelm Hollegaard
- 8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark.,13 Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut , Copenhagen , Denmark
| | - Marie Bækvad-Hansen
- 8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark.,13 Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut , Copenhagen , Denmark
| | - Mady Hornig
- 15 Center for Infection and Immunity, Columbia University Mailman School of Public Health , New York, NY , USA.,16 Department of Epidemiology, Columbia University Mailman School of Public Health , New York, NY , USA
| | - Preben Bo Mortensen
- 3 National Centre for Register-Based Research, Aarhus University , Aarhus , Denmark.,7 Centre for Integrated Register-based Research, Aarhus University , Aarhus , Denmark.,8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark
| | - Anders D Børglum
- 4 Centre for Integrative Sequencing, iSEQ, Aarhus University , Aarhus , Denmark.,5 Department of Biomedicine - Human Genetics, Aarhus University , Aarhus , Denmark.,8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark.,12 Centre for Genomics and Personalized Medicine , Aarhus , Denmark
| | - Thomas Werge
- 8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark.,14 Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services , Copenhagen , Denmark.,18 Department of Clinical Medicine, Mental Health Center Copenhagen, University of Copenhagen , Copenhagen , Denmark
| | - Marianne Giørtz Pedersen
- 3 National Centre for Register-Based Research, Aarhus University , Aarhus , Denmark.,7 Centre for Integrated Register-based Research, Aarhus University , Aarhus , Denmark.,8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark
| | - Merete Nordentoft
- 8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark.,19 Mental Health Services in the Capital Region of Denmark, Mental Health Center Copenhagen, University of Copenhagen , Copenhagen , Denmark
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- 8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark
| | - Joseph D Buxbaum
- 20 Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai , New York, NY , USA
| | - M Daniele Fallin
- 10 Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD , USA.,11 Department of Mental Health, Johns Hopkins Bloomberg School of Public Health , Baltimore, MD , USA
| | - Jonas Bybjerg-Grauholm
- 8 The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH , Aarhus , Denmark.,13 Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut , Copenhagen , Denmark
| | - Abraham Reichenberg
- 20 Seaver Autism Center for Research and Treatment, Department of Psychiatry, Icahn School of Medicine at Mount Sinai , New York, NY , USA
| | - Jonathan Mill
- 1 University of Exeter Medical School, University of Exeter , Exeter , UK
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42
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Howe CG, Cox B, Fore R, Jungius J, Kvist T, Lent S, Miles HE, Salas LA, Rifas-Shiman S, Starling AP, Yousefi P, Ladd-Acosta C, Baccarelli A, Binder EB, Chatzi VL, Czamara D, Dabelea D, DeMeo DL, Ghantous A, Herceg Z, Kajantie E, Lahti JMT, Lawlor DA, Litonjua A, Nawrot TS, Nohr EA, Oken E, Pizzi C, Plusquin M, Räikkönen K, Relton CL, Sharp GC, Sørensen TIA, Sunyer J, Vrijheid M, Zhang W, Hivert MF, Breton CV. Maternal Gestational Diabetes Mellitus and Newborn DNA Methylation: Findings From the Pregnancy and Childhood Epigenetics Consortium. Diabetes Care 2020; 43:98-105. [PMID: 31601636 PMCID: PMC6925578 DOI: 10.2337/dc19-0524] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [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: 03/14/2019] [Accepted: 09/17/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Maternal gestational diabetes mellitus (GDM) has been associated with adverse outcomes in the offspring. Growing evidence suggests that the epigenome may play a role, but most previous studies have been small and adjusted for few covariates. The current study meta-analyzed the association between maternal GDM and cord blood DNA methylation in the Pregnancy and Childhood Epigenetics (PACE) consortium. RESEARCH DESIGN AND METHODS Seven pregnancy cohorts (3,677 mother-newborn pairs [317 with GDM]) contributed results from epigenome-wide association studies, using DNA methylation data acquired by the Infinium HumanMethylation450 BeadChip array. Associations between GDM and DNA methylation were examined using robust linear regression, with adjustment for potential confounders. Fixed-effects meta-analyses were performed using METAL. Differentially methylated regions (DMRs) were identified by taking the intersection of results obtained using two regional approaches: comb-p and DMRcate. RESULTS Two DMRs were identified by both comb-p and DMRcate. Both regions were hypomethylated in newborns exposed to GDM in utero compared with control subjects. One DMR (chr 1: 248100345-248100614) was located in the OR2L13 promoter, and the other (chr 10: 135341870-135342620) was located in the gene body of CYP2E1. Individual CpG analyses did not reveal any differentially methylated loci based on a false discovery rate-adjusted P value threshold of 0.05. CONCLUSIONS Maternal GDM was associated with lower cord blood methylation levels within two regions, including the promoter of OR2L13, a gene associated with autism spectrum disorder, and the gene body of CYP2E1, which is upregulated in type 1 and type 2 diabetes. Future studies are needed to understand whether these associations are causal and possible health consequences.
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Affiliation(s)
- Caitlin G Howe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Bianca Cox
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Ruby Fore
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - James Jungius
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Tuomas Kvist
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Samantha Lent
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Harriet E Miles
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Lucas A Salas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Sheryl Rifas-Shiman
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Paul Yousefi
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
| | - Christine Ladd-Acosta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Andrea Baccarelli
- Laboratory of Precision Environmental Biosciences, Columbia University Mailman School of Public Health, New York, NY
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA
| | - Vaia Lida Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Social Medicine, University of Crete, Heraklion, Crete, Greece
- Department of Genetics and Cell Biology, Maastricht University, Maastricht, the Netherlands
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Eero Kajantie
- National Institute for Health and Welfare, Helsinki, Finland
- Research Unit for Pediatrics, Dermatology, Clinical Genetics, Obstetrics and Gynecology, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Department of Clinical and Molecular Medicine, Norwegian University for Science and Technology, Trondheim, Norway
- Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Jari M T Lahti
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
- Bristol NIHR Biomedical Research Centre, Bristol, U.K
| | - Augusto Litonjua
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Tim S Nawrot
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Department of Public Health and Primary Care, Leuven University, Leuven, Belgium
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Emily Oken
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Michelle Plusquin
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Katri Räikkönen
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
- Bristol NIHR Biomedical Research Centre, Bristol, U.K
| | - Gemma C Sharp
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Thorkild I A Sørensen
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Section on Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Weiming Zhang
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
| | - Carrie V Breton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
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Duggal P, Ladd-Acosta C, Ray D, Beaty TH. The Evolving Field of Genetic Epidemiology: From Familial Aggregation to Genomic Sequencing. Am J Epidemiol 2019; 188:2069-2077. [PMID: 31509181 PMCID: PMC7036654 DOI: 10.1093/aje/kwz193] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 08/15/2019] [Accepted: 08/19/2019] [Indexed: 12/21/2022] Open
Abstract
The field of genetic epidemiology is relatively young and brings together genetics, epidemiology, and biostatistics to identify and implement the best study designs and statistical analyses for identifying genes controlling risk for complex and heterogeneous diseases (i.e., those where genes and environmental risk factors both contribute to etiology). The field has moved quickly over the past 40 years partly because the technology of genotyping and sequencing has forced it to adapt while adhering to the fundamental principles of genetics. In the last two decades, the available tools for genetic epidemiology have expanded from a genetic focus (considering 1 gene at a time) to a genomic focus (considering the entire genome), and now they must further expand to integrate information from other “-omics” (e.g., epigenomics, transcriptomics as measured by RNA expression) at both the individual and the population levels. Additionally, we can now also evaluate gene and environment interactions across populations to better understand exposure and the heterogeneity in disease risk. The future challenges facing genetic epidemiology are considerable both in scale and techniques, but the importance of the field will not diminish because by design it ties scientific goals with public health applications.
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Affiliation(s)
- Priya Duggal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Debashree Ray
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Ladd-Acosta C, Fallin MD. Invited Commentary: Is DNA Methylation an Actionable Mediator of Prenatal Exposure Effects on Child Health? Am J Epidemiol 2019; 188:1887-1889. [PMID: 31647097 DOI: 10.1093/aje/kwz182] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [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: 06/20/2019] [Accepted: 06/21/2019] [Indexed: 01/07/2023] Open
Abstract
A substantial body of literature has shown robust associations between prenatal smoking exposure and DNA methylation levels. The pattern of DNA methylation can be used as a molecular signature of past prenatal smoking exposure and might also provide mechanistic insights into associations between prenatal smoking exposure and adverse health outcomes. In this issue of the Journal, Cardenas et al. (Am J Epidemiol. 2019;188(11):1878-1886) evaluated whether DNA methylation mediates the association between prenatal smoking and low birth weight in a tissue that is mechanistically relevant to birth weight-the placenta-using formal mediation analyses. They found that methylation levels, at 5 loci, mediated smoking exposure effects on birth weight but only among children whose mothers smoked during pregnancy. Given the use of formal mediation methods and measurement in a mechanistically relevant tissue, this work has the potential to inform novel directions for intervention. Replication of these findings in larger and more racially and ethnically diverse samples, repeated measures to better tease apart the timing of DNA methylation changes with respect to exposure and birth weight, and continued use of intervention-focused mediation methods are needed before the impact of these findings will be fully realized.
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Affiliation(s)
- Christine Ladd-Acosta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
- the Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - M Daniele Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
- the Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
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45
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Mordaunt CE, Park BY, Bakulski KM, Feinberg JI, Croen LA, Ladd-Acosta C, Newschaffer CJ, Volk HE, Ozonoff S, Hertz-Picciotto I, LaSalle JM, Schmidt RJ, Fallin MD. A meta-analysis of two high-risk prospective cohort studies reveals autism-specific transcriptional changes to chromatin, autoimmune, and environmental response genes in umbilical cord blood. Mol Autism 2019; 10:36. [PMID: 31673306 PMCID: PMC6814108 DOI: 10.1186/s13229-019-0287-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [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: 06/25/2019] [Accepted: 09/08/2019] [Indexed: 12/17/2022] Open
Abstract
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects more than 1% of children in the USA. ASD risk is thought to arise from both genetic and environmental factors, with the perinatal period as a critical window. Understanding early transcriptional changes in ASD would assist in clarifying disease pathogenesis and identifying biomarkers. However, little is known about umbilical cord blood gene expression profiles in babies later diagnosed with ASD compared to non-typically developing and non-ASD (Non-TD) or typically developing (TD) children. Methods Genome-wide transcript levels were measured by Affymetrix Human Gene 2.0 array in RNA from cord blood samples from both the Markers of Autism Risk in Babies-Learning Early Signs (MARBLES) and the Early Autism Risk Longitudinal Investigation (EARLI) high-risk pregnancy cohorts that enroll younger siblings of a child previously diagnosed with ASD. Younger siblings were diagnosed based on assessments at 36 months, and 59 ASD, 92 Non-TD, and 120 TD subjects were included. Using both differential expression analysis and weighted gene correlation network analysis, gene expression between ASD and TD, and between Non-TD and TD, was compared within each study and via meta-analysis. Results While cord blood gene expression differences comparing either ASD or Non-TD to TD did not reach genome-wide significance, 172 genes were nominally differentially expressed between ASD and TD cord blood (log2(fold change) > 0.1, p < 0.01). These genes were significantly enriched for functions in xenobiotic metabolism, chromatin regulation, and systemic lupus erythematosus (FDR q < 0.05). In contrast, 66 genes were nominally differentially expressed between Non-TD and TD, including 8 genes that were also differentially expressed in ASD. Gene coexpression modules were significantly correlated with demographic factors and cell type proportions. Limitations ASD-associated gene expression differences identified in this study are subtle, as cord blood is not the main affected tissue, it is composed of many cell types, and ASD is a heterogeneous disorder. Conclusions This is the first study to identify gene expression differences in cord blood specific to ASD through a meta-analysis across two prospective pregnancy cohorts. The enriched gene pathways support involvement of environmental, immune, and epigenetic mechanisms in ASD etiology.
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Affiliation(s)
- Charles E Mordaunt
- 1Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California, Davis, CA USA
| | - Bo Y Park
- 2Department of Public Health, California State University, Fullerton, CA USA
| | - Kelly M Bakulski
- 3Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI USA
| | - Jason I Feinberg
- 4Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD USA
| | - Lisa A Croen
- 5Division of Research and Autism Research Program, Kaiser Permanente Northern California, Oakland, CA USA
| | | | - Craig J Newschaffer
- 6Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA USA
| | - Heather E Volk
- 4Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD USA
| | - Sally Ozonoff
- 7Psychiatry and Behavioral Sciences and MIND Institute, University of California, Davis, CA USA
| | - Irva Hertz-Picciotto
- 8Department of Public Health Sciences and MIND Institute, University of California, Davis, CA USA
| | - Janine M LaSalle
- 1Department of Medical Microbiology and Immunology, Genome Center, and MIND Institute, University of California, Davis, CA USA
| | - Rebecca J Schmidt
- 8Department of Public Health Sciences and MIND Institute, University of California, Davis, CA USA
| | - M Daniele Fallin
- 4Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD USA
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46
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Conradt E, Flannery T, Aschner JL, Annett RD, Croen LA, Duarte CS, Friedman AM, Guille C, Hedderson MM, Hofheimer JA, Jones MR, Ladd-Acosta C, McGrath M, Moreland A, Neiderhiser JM, Nguyen RH, Posner J, Ross JL, Savitz DA, Ondersma SJ, Lester BM. Prenatal Opioid Exposure: Neurodevelopmental Consequences and Future Research Priorities. Pediatrics 2019; 144:peds.2019-0128. [PMID: 31462446 PMCID: PMC6759228 DOI: 10.1542/peds.2019-0128] [Citation(s) in RCA: 94] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/22/2019] [Indexed: 01/14/2023] Open
Abstract
Neonatal opioid withdrawal syndrome (NOWS) has risen in prevalence from 1.2 per 1000 births in 2000 to 5.8 per 1000 births in 2012. Symptoms in neonates may include high-pitched cry, tremors, feeding difficulty, hypertonia, watery stools, and breathing problems. However, little is known about the neurodevelopmental consequences of prenatal opioid exposure in infancy, early childhood, and middle childhood. Even less is known about the cognitive, behavioral, and academic outcomes of children who develop NOWS. We review the state of the literature on the neurodevelopmental consequences of prenatal opioid exposure with a particular focus on studies in which NOWS outcomes were examined. Aiming to reduce the incidence of prenatal opioid exposure in the near future, we highlight the need for large studies with prospectively recruited participants and longitudinal designs, taking into account confounding factors such as socioeconomic status, institutional variations in care, and maternal use of other substances, to independently assess the full impact of NOWS. As a more immediate solution, we provide an agenda for future research that leverages the National Institutes of Health Environmental Influences on Child Health Outcomes program to address many of the serious methodologic gaps in the literature, and we answer key questions regarding the short- and long-term neurodevelopmental health of children with prenatal opioid exposure.
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Affiliation(s)
- Elisabeth Conradt
- Departments of Psychology, Pediatrics, and Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah;
| | | | - Judy L. Aschner
- Department of Pediatrics, Albert Einstein College of Medicine, New York, New York;,Department of Pediatrics, Hackensack Meridian School of Medicine, Seton Hall University, Nutley, New Jersey
| | - Robert D. Annett
- Department of Pediatrics, University of Mississippi Medical Center, Jackson, Mississippi
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente, Oakland, California
| | - Cristiane S. Duarte
- New York State Psychiatric Institute,,Department of Psychiatry, Columbia University, New York, New York
| | - Alexander M. Friedman
- Division of Maternal-Fetal Medicine, Columbia University Irving Medical Center, New York, New York
| | | | | | - Julie A. Hofheimer
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | - Christine Ladd-Acosta
- Department of Epidemiology and,Wendy Klag Center for Autism and Developmental Disabilities, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | | | - Angela Moreland
- National Crime Victims Research and Treatment Center, Medical University of South Carolina, Columbia, South Carolina
| | - Jenae M. Neiderhiser
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania
| | - Ruby H.N. Nguyen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Jonathan Posner
- Department of Psychiatry, Columbia University, New York, New York
| | - Judith L. Ross
- Department of Pediatrics, Nemours/Alfred I. duPont Hospital for Children, Wilmington, Delaware; and
| | | | - Steven J. Ondersma
- Merrill Palmer Skillman Institute and Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan
| | - Barry M. Lester
- Brown Center for the Study of Children at Risk and Departments of Psychiatry and Human Behavior and Pediatrics, Alpert Medical School, Brown University, Providence, Rhode Island;,Women and Infants Hospital in Rhode Island, Providence, Rhode Island
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47
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Kalkbrenner AE, Meier SM, Madley-Dowd P, Ladd-Acosta C, Fallin MD, Parner E, Schendel D. Familial confounding of the association between maternal smoking in pregnancy and autism spectrum disorder in offspring. Autism Res 2019; 13:134-144. [PMID: 31464107 DOI: 10.1002/aur.2196] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 08/06/2019] [Indexed: 12/20/2022]
Abstract
Evidence supports no link between maternal smoking in pregnancy and autism spectrum disorder (autism) overall. To address remaining questions about the unexplained heterogeneity between study results and the possibility of risk for specific autism sub-phenotypes, we conducted a whole-population cohort study in Denmark. We followed births 1991-2011 (1,294,906 persons, including 993,301 siblings in 728,271 families), from 1 year of age until an autism diagnosis (13,547), death, emigration, or December 31, 2012. Autism, with and without attention deficit hyperactivity disorder (ADHD) and with and without intellectual disability (ID) were based on ICD-8 and ICD-10 codes from Danish national health registers, including 3,319 autism + ADHD, 10,228 autism - no ADHD, 2,205 autism + ID, and 11,342 autism - no ID. We estimated hazard ratios (HRs) and 95% confidence intervals (95% CIs) between any maternal smoking (from birth records) and autism (or sub-phenotypes) using survival models with robust standard errors, stratifying by birth year and adjusting for child sex, parity, and parental age, education, income, and psychiatric history. To additionally address confounding using family designs, we constructed a maternal cluster model (adjusting for the smoking proportion within the family), and a stratified sibling model. Associations with maternal smoking and autism were elevated in conventional adjusted analyses (HR of 1.17 [1.13-1.22]) but attenuated in the maternal cluster (0.98 [0.88-1.09]) and sibling (0.86 [0.64-1.15]) models. Similarly, risks of autism sub-phenotypes with maternal smoking were attenuated in the family-based models. Together these results support that smoking in pregnancy is not linked with autism or select autism comorbid sub-phenotypes after accounting for familial confounding. Autism Res 2020, 13: 134-144. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Smoking during pregnancy has many harmful impacts, which may include harming the baby's developing brain. However, in a study of thousands of families in Denmark, it does not appear that smoking in pregnancy leads to autism or autism in combination with intellectual problems or attention deficits, once you account for the way smoking patterns and developmental disabilities run in families.
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Affiliation(s)
- Amy E Kalkbrenner
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin
| | - Sandra M Meier
- Child and Adolescent Mental Health Centre-Mental Health Services Capital Region, Copenhagen Region, Denmark.,Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Paul Madley-Dowd
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.,Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Margaret Daniele Fallin
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Erik Parner
- Department of Public Health, Section for Biostatistics, Aarhus University, Aarhus, Denmark
| | - Diana Schendel
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, National Centre for Register-based Research, Aarhus University, Aarhus, Denmark.,Department of Economics and Business, National Centre for Register-based Research, Aarhus University, Aarhus, Denmark.,Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark
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48
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Ladd-Acosta C, Feinberg JI, Brown SC, Lurmann FW, Croen LA, Hertz-Picciotto I, Newschaffer CJ, Feinberg AP, Fallin MD, Volk HE. Epigenetic marks of prenatal air pollution exposure found in multiple tissues relevant for child health. Environ Int 2019; 126:363-376. [PMID: 30826615 PMCID: PMC6446941 DOI: 10.1016/j.envint.2019.02.028] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 01/05/2019] [Accepted: 02/10/2019] [Indexed: 05/22/2023]
Abstract
BACKGROUND Prenatal air pollution exposure has been linked to many adverse health conditions in the offspring. However, little is known about the mechanisms underlying these associations. Epigenetics may be one plausible biologic link. Here, we sought to identify site-specific and global DNA methylation (DNAm) changes, in developmentally relevant tissues, associated with prenatal exposure to nitrogen dioxide (NO2) and ozone (O3). Additionally, we assessed whether sex-specific changes in methylation exist and whether DNAm changes are consistently observed across tissues. METHODS Genome-scale DNAm measurements were obtained using the Infinium HumanMethylation450k platform for 133 placenta and 175 cord blood specimens from Early Autism Risk Longitudinal Investigation (EARLI) neonates. Ambient NO2 and O3 exposure levels were based on prenatal address locations of EARLI mothers and the Environmental Protection Agency's AirNOW monitoring network using inverse distance weighting. We computed sample-level aggregate methylation measures for each of 5 types of genomic regions including genome-wide, open sea, shelf, shore, and island regions. Linear regression was performed for each genomic region; per-sample aggregate methylation measures were modeled as a function of quantitative exposure level with covariate adjustment. In addition, bumphunting was performed to identify differentially methylated regions (DMRs) associated with prenatal O3 and NO2 exposures in each tissue and by sex, with adjustment for technical and biological sources of variation. RESULTS We identified global and locus-specific changes in DNA methylation related to prenatal exposure to NO2 and O3 in 2 developmentally relevant tissues. Neonates with increased prenatal O3 exposure had lower aggregate levels of DNAm at CpGs located in open sea and shelf regions of the genome. We identified 6 DMRs associated with prenatal NO2 exposure, including 3 sex-specific. An additional 3 sex-specific DMRs were associated with prenatal O3 exposure levels. DMRs initially detected in cord blood samples (n = 4) showed consistent exposure-related changes in DNAm in placenta. However, the DMRs initially detected in placenta (n = 5) did not show DNAm differences in cord blood and, thus, they appear to be tissue-specific. CONCLUSIONS We observed global, locus, and sex-specific methylation changes associated with prenatal NO2 and O3 exposures. Our findings support DNAm is a biologic target of prenatal air pollutant exposures and highlight epigenetic involvement in sex-specific differential susceptibility to environmental exposure effects in 2 developmentally relevant tissues.
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Affiliation(s)
- Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Shannon C Brown
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Lisa A Croen
- Autism Research Program, Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, MIND (Medical Investigations of Neurodevelopmental Disorders) Institute, University of California, Davis, CA, USA
| | - Craig J Newschaffer
- A.J. Drexel Autism Institute and Department of Epidemiology and Biostatistics, Drexel University School of Public Health, Philadelphia, PA, USA
| | - Andrew P Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - M Daniele Fallin
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Heather E Volk
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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49
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Gruzieva O, Xu CJ, Yousefi P, Relton C, Merid SK, Breton CV, Gao L, Volk HE, Feinberg JI, Ladd-Acosta C, Bakulski K, Auffray C, Lemonnier N, Plusquin M, Ghantous A, Herceg Z, Nawrot TS, Pizzi C, Richiardi L, Rusconi F, Vineis P, Kogevinas M, Felix JF, Duijts L, den Dekker HT, Jaddoe VWV, Ruiz JL, Bustamante M, Antó JM, Sunyer J, Vrijheid M, Gutzkow KB, Grazuleviciene R, Hernandez-Ferrer C, Annesi-Maesano I, Lepeule J, Bousquet J, Bergström A, Kull I, Söderhäll C, Kere J, Gehring U, Brunekreef B, Just AC, Wright RJ, Peng C, Gold DR, Kloog I, DeMeo DL, Pershagen G, Koppelman GH, London SJ, Baccarelli AA, Melén E. Prenatal Particulate Air Pollution and DNA Methylation in Newborns: An Epigenome-Wide Meta-Analysis. Environ Health Perspect 2019; 127:57012. [PMID: 31148503 PMCID: PMC6792178 DOI: 10.1289/ehp4522] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 05/02/2019] [Accepted: 05/06/2019] [Indexed: 05/22/2023]
Abstract
BACKGROUND Prenatal exposure to air pollution has been associated with childhood respiratory disease and other adverse outcomes. Epigenetics is a suggested link between exposures and health outcomes. OBJECTIVES We aimed to investigate associations between prenatal exposure to particulate matter (PM) with diameter [Formula: see text] ([Formula: see text]) or [Formula: see text] ([Formula: see text]) and DNA methylation in newborns and children. METHODS We meta-analyzed associations between exposure to [Formula: see text] ([Formula: see text]) and [Formula: see text] ([Formula: see text]) at maternal home addresses during pregnancy and newborn DNA methylation assessed by Illumina Infinium HumanMethylation450K BeadChip in nine European and American studies, with replication in 688 independent newborns and look-up analyses in 2,118 older children. We used two approaches, one focusing on single cytosine-phosphate-guanine (CpG) sites and another on differentially methylated regions (DMRs). We also related PM exposures to blood mRNA expression. RESULTS Six CpGs were significantly associated [false discovery rate (FDR) [Formula: see text]] with prenatal [Formula: see text] and 14 with [Formula: see text] exposure. Two of the [Formula: see text] CpGs mapped to FAM13A (cg00905156) and NOTCH4 (cg06849931) previously associated with lung function and asthma. Although these associations did not replicate in the smaller newborn sample, both CpGs were significant ([Formula: see text]) in 7- to 9-y-olds. For cg06849931, however, the direction of the association was inconsistent. Concurrent [Formula: see text] exposure was associated with a significantly higher NOTCH4 expression at age 16 y. We also identified several DMRs associated with either prenatal [Formula: see text] and or [Formula: see text] exposure, of which two [Formula: see text] DMRs, including H19 and MARCH11, replicated in newborns. CONCLUSIONS Several differentially methylated CpGs and DMRs associated with prenatal PM exposure were identified in newborns, with annotation to genes previously implicated in lung-related outcomes. https://doi.org/10.1289/EHP4522.
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Affiliation(s)
- Olena Gruzieva
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
- 2 Centre for Occupational and Environmental Medicine, Stockholm County Council , Stockholm, Sweden
| | - Cheng-Jian Xu
- 3 Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen , Netherlands
- 4 Department of Pediatric Pulmonology and Pediatric Allergology, University Medical Center Groningen, Beatrix Children's Hospital, University of Groningen , Netherlands
- 5 Department of Genetics, University Medical Center Groningen, University of Groningen , Netherlands
| | - Paul Yousefi
- 6 MRC Integrative Epidemiology Unit, University of Bristol , Bristol, UK
- 7 Population Health Sciences, Bristol Medical School, University of Bristol , Bristol, UK
| | - Caroline Relton
- 6 MRC Integrative Epidemiology Unit, University of Bristol , Bristol, UK
- 7 Population Health Sciences, Bristol Medical School, University of Bristol , Bristol, UK
| | - Simon Kebede Merid
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
| | - Carrie V Breton
- 8 Department of Preventive Medicine, University of Southern California Los Angeles , Los Angeles, California, USA
| | - Lu Gao
- 8 Department of Preventive Medicine, University of Southern California Los Angeles , Los Angeles, California, USA
| | - Heather E Volk
- 9 Department of Mental Health, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA
- 10 Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA
| | - Jason I Feinberg
- 9 Department of Mental Health, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland, USA
| | - Christine Ladd-Acosta
- 11 Department of Epidemiology, School of Public Health, University of Michigan , Ann Arbor, Michigan, USA
| | - Kelly Bakulski
- 11 Department of Epidemiology, School of Public Health, University of Michigan , Ann Arbor, Michigan, USA
| | - Charles Auffray
- 12 European Institute for Systems Biology and Medicine (EISBM), CNRS-ENS-UCBL, Université de Lyon , Lyon, France
| | - Nathanaël Lemonnier
- 12 European Institute for Systems Biology and Medicine (EISBM), CNRS-ENS-UCBL, Université de Lyon , Lyon, France
- 13 Institute for Advanced Biosciences, UGA-Institut national de la santé et de la recherché médicale (Inserm) , La Tronche, France
| | - Michelle Plusquin
- 14 Centre for Environmental Sciences, Hasselt University , Diepenbeek, Belgium
- 15 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London , London, UK
| | - Akram Ghantous
- 16 Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Zdenko Herceg
- 16 Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Tim S Nawrot
- 14 Centre for Environmental Sciences, Hasselt University , Diepenbeek, Belgium
- 17 Department of Public Health & Primary Care, Leuven University , Leuven, Belgium
| | - Costanza Pizzi
- 18 Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte , Turin, Italy
| | - Lorenzo Richiardi
- 18 Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte , Turin, Italy
| | - Franca Rusconi
- 19 Unit of Epidemiology, Meyer Children's University Hospital , Florence, Italy
| | - Paolo Vineis
- 15 MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London , London, UK
| | - Manolis Kogevinas
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 22 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain
| | - Janine F Felix
- 23 Generation R Study Group, Erasmus MC (Medical Centre) , University Medical Center Rotterdam , Rotterdam, Netherlands
- 25 Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam , Rotterdam, Netherlands
| | - Liesbeth Duijts
- 23 Generation R Study Group, Erasmus MC (Medical Centre) , University Medical Center Rotterdam , Rotterdam, Netherlands
- 26 Department of Pediatrics, Divisions of Respiratory Medicine and Allergology, and Neonatology, Erasmus MC, University Medical Center , Rotterdam, Netherlands
| | - Herman T den Dekker
- 23 Generation R Study Group, Erasmus MC (Medical Centre) , University Medical Center Rotterdam , Rotterdam, Netherlands
- 25 Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam , Rotterdam, Netherlands
| | - Vincent W V Jaddoe
- 23 Generation R Study Group, Erasmus MC (Medical Centre) , University Medical Center Rotterdam , Rotterdam, Netherlands
- 25 Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam , Rotterdam, Netherlands
| | - José L Ruiz
- 27 Center for Genomic Regulation (CRG) , Barcelona, Spain
- 28 Instituto de Parasitología y Biomedicina López-Neyra (IPBLN), Spanish National Research Council (CSIC) , Armilla, Granada, Spain
| | - Mariona Bustamante
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 22 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain
- 27 Center for Genomic Regulation (CRG) , Barcelona, Spain
| | - Josep Maria Antó
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 22 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain
- 29 Hospital de Mar Medical Research Institute (IMIM) , Barcelona, Spain
| | - Jordi Sunyer
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 22 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain
- 29 Hospital de Mar Medical Research Institute (IMIM) , Barcelona, Spain
| | - Martine Vrijheid
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 22 CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain
| | | | - Regina Grazuleviciene
- 31 Department of Environmental Sciences, Vytauto Didziojo Universitetas , Kaunas, Lithuania
| | - Carles Hernandez-Ferrer
- 20 Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- 32 Computational Health Informatics Program , Boston Children's Hospital , Boston, Massachusetts, USA
| | - Isabella Annesi-Maesano
- 33 Epidemiology of Allergic and Respiratory Diseases Department, IPLESP, Inserm and Sorbonne University Medical School Saint-Antoine , Paris, France
| | - Johanna Lepeule
- 34 Université Grenoble Alpes, Inserm, National Institute of Health & Medical Research, CNRS, IAB , Grenoble, France
| | - Jean Bousquet
- 35 Innovation Partnership on Active and Healthy Ageing Reference Site, MACVIA-France (Contre les Maladies Chroniques pour un Vieillissement Actif en France European) , Montpellier, France
- 36 U 1168, VIMA: Ageing and Chronic Diseases Epidemiological and Public Health Approaches, Inserm Villejuif, Université Versailles St-Quentin-en-Yvelines , Montigny le Bretonneux, France
| | - Anna Bergström
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
- 2 Centre for Occupational and Environmental Medicine, Stockholm County Council , Stockholm, Sweden
| | - Inger Kull
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
- 37 Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet , Stockholm, Sweden
- 38 Sachs Children's Hospital , Stockholm, Sweden
| | - Cilla Söderhäll
- 39 Department of Women's and Children's Health, Karolinska Institutet , Stockholm, Sweden
- 40 Department of Biosciences and Nutrition, Karolinska Institutet , Stockholm, Sweden
| | - Juha Kere
- 40 Department of Biosciences and Nutrition, Karolinska Institutet , Stockholm, Sweden
- 42 School of Basic and Medical Biosciences, King's College London, Guy's Hospital , London, UK
| | - Ulrike Gehring
- 44 Institute for Risk Assessment Sciences, Utrecht University , Utrecht, Netherlands
| | - Bert Brunekreef
- 44 Institute for Risk Assessment Sciences, Utrecht University , Utrecht, Netherlands
- 45 Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University , Utrecht, Netherlands
| | - Allan C Just
- 46 Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai , New York, USA
| | - Rosalind J Wright
- 47 Department of Pediatrics, Icahn School of Medicine at Mount Sinai , New York, USA
| | - Cheng Peng
- 48 Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts, USA
| | - Diane R Gold
- 48 Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts, USA
- 49 Department of Environmental Health, Harvard T.H. Chan School of Public Health , Boston, Massachusetts, USA
| | - Itai Kloog
- 50 Department of Geography and Environmental Development, Ben-Gurion University of the Negev , Beer Sheva, Israel
| | - Dawn L DeMeo
- 48 Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts, USA
| | - Göran Pershagen
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
- 2 Centre for Occupational and Environmental Medicine, Stockholm County Council , Stockholm, Sweden
| | - Gerard H Koppelman
- 3 Groningen Research Institute for Asthma and COPD, University Medical Center Groningen, University of Groningen , Netherlands
- 4 Department of Pediatric Pulmonology and Pediatric Allergology, University Medical Center Groningen, Beatrix Children's Hospital, University of Groningen , Netherlands
| | - Stephanie J London
- 51 National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), U.S. Department of Health and Human Services , Research Triangle Park, North Carolina, USA
| | - Andrea A Baccarelli
- 52 Department of Environmental Health Sciences, Columbia University Mailman School of Public Health , New York, USA
| | - Erik Melén
- 1 Institute of Environmental Medicine, Karolinska Institutet , Stockholm, Sweden
- 38 Sachs Children's Hospital , Stockholm, Sweden
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50
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Riffo-Campos AL, Fuentes-Trillo A, Tang WY, Soriano Z, De Marco G, Rentero-Garrido P, Adam-Felici V, Lendinez-Tortajada V, Francesconi K, Goessler W, Ladd-Acosta C, Leon-Latre M, Casasnovas JA, Chaves FJ, Navas-Acien A, Guallar E, Tellez-Plaza M. In silico epigenetics of metal exposure and subclinical atherosclerosis in middle aged men: pilot results from the Aragon Workers Health Study. Philos Trans R Soc Lond B Biol Sci 2019; 373:rstb.2017.0084. [PMID: 29685964 DOI: 10.1098/rstb.2017.0084] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2017] [Indexed: 12/14/2022] Open
Abstract
We explored the association of metal levels with subclinical atherosclerosis and epigenetic changes in relevant biological pathways. Whole blood DNA Infinium Methylation 450 K data were obtained from 23 of 73 middle age men without clinically evident cardiovascular disease (CVD) who participated in the Aragon Workers Health Study in 2009 (baseline visit) and had available baseline urinary metals and subclinical atherosclerosis measures obtained in 2010-2013 (follow-up visit). The median metal levels were 7.36 µg g-1, 0.33 µg g-1, 0.11 µg g-1 and 0.07 µg g-1, for arsenic (sum of inorganic and methylated species), cadmium, antimony and tungsten, respectively. Urine cadmium and tungsten were associated with femoral and carotid intima-media thickness, respectively (Pearson's r = 0.27; p = 0.03 in both cases). Among nearest genes to identified differentially methylated regions (DMRs), 46% of metal-DMR genes overlapped with atherosclerosis-DMR genes (p < 0.001). Pathway enrichment analysis of atherosclerosis-DMR genes showed a role in inflammatory, metabolic and transport pathways. In in silico protein-to-protein interaction networks among proteins encoded by 162 and 108 genes attributed to atherosclerosis- and metal-DMRs, respectively, with proteins known to have a role in atherosclerosis pathways, we observed hub proteins in the network associated with both atherosclerosis and metal-DMRs (e.g. SMAD3 and NOP56), and also hub proteins associated with metal-DMRs only but with relevant connections with atherosclerosis effectors (e.g. SSTR5, HDAC4, AP2A2, CXCL12 and SSTR4). Our integrative in silico analysis demonstrates the feasibility of identifying epigenomic regions linked to environmental exposures and potentially involved in relevant pathways for human diseases. While our results support the hypothesis that metal exposures can influence health due to epigenetic changes, larger studies are needed to confirm our pilot results.This article is part of a discussion meeting issue 'Frontiers in epigenetic chemical biology'.
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Affiliation(s)
- Angela L Riffo-Campos
- Area of Cardiometabolic Risk, Institute for Biomedical Research Hospital Clinic of Valencia, Menendez Pelayo 4 Accesorio, 46010 Valencia, Spain
| | - Azahara Fuentes-Trillo
- Genomics and Genetic Diagnostic Unit, Institute for Biomedical Research Hospital Clinic of Valencia, Menendez Pelayo 4 Accesorio, 46010 Valencia, Spain
| | - Wan Y Tang
- Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Zoraida Soriano
- Instituto de Investigación Sanitaria de Aragon, 50009 Zaragoza, Spain
| | - Griselda De Marco
- Genomics and Genetic Diagnostic Unit, Institute for Biomedical Research Hospital Clinic of Valencia, Menendez Pelayo 4 Accesorio, 46010 Valencia, Spain
| | - Pilar Rentero-Garrido
- Genomics and Genetic Diagnostic Unit, Institute for Biomedical Research Hospital Clinic of Valencia, Menendez Pelayo 4 Accesorio, 46010 Valencia, Spain
| | - Victoria Adam-Felici
- Genomics and Genetic Diagnostic Unit, Institute for Biomedical Research Hospital Clinic of Valencia, Menendez Pelayo 4 Accesorio, 46010 Valencia, Spain
| | - Veronica Lendinez-Tortajada
- Genomics and Genetic Diagnostic Unit, Institute for Biomedical Research Hospital Clinic of Valencia, Menendez Pelayo 4 Accesorio, 46010 Valencia, Spain
| | | | - Walter Goessler
- Institute of Chemistry, University of Graz, 8010 Graz, Austria
| | | | - Montse Leon-Latre
- Instituto de Investigación Sanitaria de Aragon, 50009 Zaragoza, Spain.,Servicio Aragones de Salud, 50071 Zaragoza, Spain
| | - Jose A Casasnovas
- Instituto de Investigación Sanitaria de Aragon, 50009 Zaragoza, Spain.,Instituto Aragonés de Ciencias de Salud, 50009 Zaragoza, Spain.,Universidad de Zaragoza, 50009 Zaragoza, Spain
| | - F Javier Chaves
- Genomics and Genetic Diagnostic Unit, Institute for Biomedical Research Hospital Clinic of Valencia, Menendez Pelayo 4 Accesorio, 46010 Valencia, Spain
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD 21205, USA.,Department of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Maria Tellez-Plaza
- Area of Cardiometabolic Risk, Institute for Biomedical Research Hospital Clinic of Valencia, Menendez Pelayo 4 Accesorio, 46010 Valencia, Spain .,Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
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