There is growing evidence that lifelong health, including mental health, is particularly shaped by the environment experienced during the in-utero developmental period. The intrauterine environment is influenced by a complex variety of factors, including maternal lifestyle, environmental exposures, socioeconomic status, and psychosocial aspects, making risk determination based on identification of these factors difficult and inaccurate. Yet, defining children at-risk early is utterly critical to improving future mental health outcomes. Due to the unique regulatory features of imprinted genes and their sensitivity to environmental exposures, genomic imprinting has been proposed as an ideal integrated measure of the intrauterine environment for use in epidemiologic studies of the developmental origins of health and disease. As imprinted genes in the placenta can impact the function of this critical organ in directing fetal development and programming, there is also strong evidence to support establishing and validating the link between alterations in imprinting and newborn neurodevelopmental outcomes. Compelled by strong rationale and by emerging evidence, including work from our laboratories linking placenta imprinted gene expression to infant neurodevelopment, this project aims to develop an imprinting-based biomarker that can prospectively predict neurobehavioral outcomes, which ultimately can be used for immediate identification of infants at-risk in order for early intervention to be initiated/implemented. We have developed a multi-stage research plan to first utilize the comprehensive resources of the ongoing Rhode Island Child Health Study (RICHS), which employs the validated and prospectively predictive NICU Network Neurobehavioral Scales (NNNS) as a phenotypic measure of newborn neurobehavior in a birth cohort of 900 newborn infants, to define a biomarker panel associated with key neurobehavioral measures. We will then demonstrate the validity and generalizability of this biomarker using an established but independent resource, the New Hampshire Birth Cohort Study (NHBCS), which uses similar data collection procedures as RICHS. In addition, although the environment is extraordinarily complex, we have decided to focus on fetal exposure to metals, specifically those which are widely considered neurotoxins or those considered protective, as a paradigm to build a comprehensive model to examine the inter-relationships among in utero trace metals exposure, genomic imprinting, and newborn neurobehavioral outcomes. Identification of an imprinting signature associated with abnormal neurodevelopment or environmental exposure would have significant clinical and public health implications by pinpointing certain environmental risk factors for neurobehavioral defects or serve as a basis for early diagnostic tools thus providing an opportunity for early intervention.

Public Health Relevance

This project aims to identify an epigenetic biomarker in an accessible tissue at birth that predicts altered neurodevelopmental trajectories. Such a biomarker may have significant clinical and public health impact, providing an opportunity for early interventions for at-risk children, and potentially identifying novel paths for prevention an treatment.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Research Project (R01)
Project #
3R01ES022223-03S1
Application #
9047488
Study Section
Neurological, Aging and Musculoskeletal Epidemiology (NAME)
Program Officer
Mcallister, Kimberly A
Project Start
2013-09-01
Project End
2018-04-30
Budget Start
2015-07-10
Budget End
2016-04-30
Support Year
3
Fiscal Year
2015
Total Cost
$480,044
Indirect Cost
$38,897
Name
Dartmouth College
Department
Pharmacology
Type
Schools of Medicine
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Everson, Todd M; Punshon, Tracy; Jackson, Brian P et al. (2018) Cadmium-Associated Differential Methylation throughout the Placental Genome: Epigenome-Wide Association Study of Two U.S. Birth Cohorts. Environ Health Perspect 126:017010
Herceg, Zdenko; Ghantous, Akram; Wild, Christopher P et al. (2018) Roadmap for investigating epigenome deregulation and environmental origins of cancer. Int J Cancer 142:874-882
Thompson, Jeffrey A; Christensen, Brock C; Marsit, Carmen J (2018) Methylation-to-Expression Feature Models of Breast Cancer Accurately Predict Overall Survival, Distant-Recurrence Free Survival, and Pathologic Complete Response in Multiple Cohorts. Sci Rep 8:5190
Felix, Janine F; Joubert, Bonnie R; Baccarelli, Andrea A et al. (2018) Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium. Int J Epidemiol 47:22-23u
Everson, Todd M; Marsit, Carmen J (2018) Integrating -Omics Approaches into Human Population-Based Studies of Prenatal and Early-Life Exposures. Curr Environ Health Rep 5:328-337
Lester, Barry M; Marsit, Carmen J (2018) Epigenetic mechanisms in the placenta related to infant neurodevelopment. Epigenomics 10:321-333
Litzky, Julia F; Boulet, Sheree L; Esfandiari, Navid et al. (2018) Effect of frozen/thawed embryo transfer on birthweight, macrosomia, and low birthweight rates in US singleton infants. Am J Obstet Gynecol 218:433.e1-433.e10
Litzky, Julia F; Deyssenroth, Maya A; Everson, Todd M et al. (2018) Prenatal exposure to maternal depression and anxiety on imprinted gene expression in placenta and infant neurodevelopment and growth. Pediatr Res 83:1075-1083
Deyssenroth, Maya A; Gennings, Chris; Liu, Shelley H et al. (2018) Intrauterine multi-metal exposure is associated with reduced fetal growth through modulation of the placental gene network. Environ Int 120:373-381
Everson, Todd M; Kappil, Maya; Hao, Ke et al. (2017) Maternal exposure to selenium and cadmium, fetal growth, and placental expression of steroidogenic and apoptotic genes. Environ Res 158:233-244

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