Alison G Paquette1, Barry M Lester2, Corina Lesseur1, David A Armstrong1, Dylan J Guerin1, Allison A Appleton3, Carmen J Marsit1,4. 1. Department of Pharmacology & Toxicology, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA. 2. Department of Pediatrics, Center for the Study of Children at Risk, Women & Infants Hospital, Warren Alpert Medical School of Brown University, Providence, RI, USA. 3. Department of Epidemiology & Biostatistics, University at Albany School of Public Health, Rensselaer, NY, USA. 4. Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
Abstract
AIM: To determine associations between methylation of NR3C1, HSD11B2, FKBP5 and ADCYAP1R1 and newborn neurobehavioral outcomes. METHODS: In 537 newborns, placental methylation was quantified using bisulfite pyrosequencing. Profiles of neurobehavior were derived via the Neonatal Intensive Care Unit Network Neurobehavioral Scales. Using exploratory factor analysis, the relationships between methylation factor scores and neurobehavioral profiles were examined. RESULTS: Increased scores of the factor characterized by NR3C1 methylation were associated with membership in a reactive, poorly regulated profile (odds ratio: 1.47; 95% CI: 1.00-2.18), while increased scores of the factor characterized by HSD11B2 methylation reduced this risk. CONCLUSION: These results suggest that coordinated regulation of these genes influences neurobehavior and demonstrates the importance of examining these alterations in a harmonized fashion.
AIM: To determine associations between methylation of NR3C1, HSD11B2, FKBP5 and ADCYAP1R1 and newborn neurobehavioral outcomes. METHODS: In 537 newborns, placental methylation was quantified using bisulfite pyrosequencing. Profiles of neurobehavior were derived via the Neonatal Intensive Care Unit Network Neurobehavioral Scales. Using exploratory factor analysis, the relationships between methylation factor scores and neurobehavioral profiles were examined. RESULTS: Increased scores of the factor characterized by NR3C1 methylation were associated with membership in a reactive, poorly regulated profile (odds ratio: 1.47; 95% CI: 1.00-2.18), while increased scores of the factor characterized by HSD11B2 methylation reduced this risk. CONCLUSION: These results suggest that coordinated regulation of these genes influences neurobehavior and demonstrates the importance of examining these alterations in a harmonized fashion.
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