The Analytical core will provide state-of-the-art analyses that are of high priority to CCEH projects that link chemical exposures with clinical and epidemiological data (Project 1), epigenetic data (Project 2), immunological data (Project 3), and mechanistic data from human neurons (Project 4). Analytical Core will use its extensive experience in analytical chemistry to develop and validate highly sensitive and specific methods to quantitate target compounds in small volumes of plasma from mothers and children, in breast milk, and in urine. Specifically, the Analytical Core will serve center projects by conducting analyses on complex biological samples matrices to identify xenobiotic pollutants that are known or suspected of being developmental neurotoxicants and immunotoxicants, in human epidemiological studies and/or in animal models. Quantitative results will be provided to all CCEH Projects where they will be evaluated in the context of ASD risk, genomic and methylomic interactions, cytokine profiles and their ability to alter Ca^'^-dependent signaling pathways in human neurons and immune cells. The Core's three main objectives are: Objective 1: Provide general analytical support for efficient processing and extraction of small sample volumes archived in the CCEH biobank. Objective 2: Undertake highly sensitive and quantitative analytical chemistry techniques to determine concentrations of polybrominated diphenyl ether (PBDE), polychlorinated biphenyl (PCB), and perfluorinated compounds (PFCs) congener patterns present in maternal serum and pyrethroid pesticide metabolites in urine of women at high risk for giving birth to an autistic child participating in the MARBLES study, and those found in children and their mother participating in CHARGE Objective 3: Develop and implement new analytical techniques to measure. This will include the development of: 3.1. PBDE and PCB congener profiles in the same extracts;and 3.2. Hydroxylated PBDE and PCB (OH-PBDE and OH-PCB) metabolites in the same extracts.
The Analytical Core will provide essential services to all Projects, which all rely on accurate exposure data. This Core will generate the first detailed congener-level assessment of xenobiotic exposures in a wellstudied longitudinal cohort at high risk for autism, accurately quantitate xenobiotics in small volume specimens by modifying extraction and detection methods, and identify lead compounds which will become instrumental to all scientific projects of the Center.
|Dunaway, Keith W; Islam, M Saharul; Coulson, Rochelle L et al. (2016) Cumulative Impact of Polychlorinated Biphenyl and Large Chromosomal Duplications on DNA Methylation, Chromatin, and Expression of Autism Candidate Genes. Cell Rep 17:3035-3048|
|MartÃnez-CerdeÃ±o, VerÃ³nica; Camacho, Jasmin; Fox, Elizabeth et al. (2016) Prenatal Exposure to Autism-Specific Maternal Autoantibodies Alters Proliferation of Cortical Neural Precursor Cells, Enlarges Brain, and Increases Neuronal Size in Adult Animals. Cereb Cortex 26:374-83|
|Crawley, Jacqueline N; Heyer, Wolf-Dietrich; LaSalle, Janine M (2016) Autism and Cancer Share Risk Genes, Pathways, and Drug Targets. Trends Genet 32:139-46|
|Sirish, Padmini; Li, Ning; Timofeyev, Valeriy et al. (2016) Molecular Mechanisms and New Treatment Paradigm for Atrial Fibrillation. Circ Arrhythm Electrophysiol 9:|
|Keil, Kimberly P; Lein, Pamela J (2016) DNA methylation: a mechanism linking environmental chemical exposures to risk of autism spectrum disorders? Environ Epigenet 2:|
|Aschner, Michael; Ceccatelli, Sandra; Daneshian, Mardas et al. (2016) Reference compounds for alternative test methods to indicate developmental neurotoxicity (DNT) potential of chemicals: example lists and criteria for their selection and use. ALTEX :|
|Ciernia, Annie Vogel; LaSalle, Janine (2016) The landscape of DNA methylation amid a perfect storm of autism aetiologies. Nat Rev Neurosci 17:411-23|
|Saldarriaga, Wilmar; Lein, Pamela; GonzÃ¡lez Teshima, Laura Yuriko et al. (2016) Phenobarbital use and neurological problems in FMR1 premutation carriers. Neurotoxicology 53:141-7|
|Matelski, Lauren; Van de Water, Judy (2016) Risk factors in autism: Thinking outside the brain. J Autoimmun 67:1-7|
|Bal-Price, Anna; Lein, Pamela J; Keil, Kimberly P et al. (2016) Developing and applying the adverse outcome pathway concept for understanding and predicting neurotoxicity. Neurotoxicology :|
Showing the most recent 10 out of 279 publications