Project 4 will test the hypothesis that CGG trinucleotide repeats in the FMRI gene, the most prevalent single gene disorder contributing to autism risk, influence susceptibility to non-dioxin-like (NDL) persistent organic pollutants (POPs) identified in Core 3 and pro-inflammatory cytokine profiles identified in Project 3 to predominate in plasma of women participating in the MARBLES study during pregnancy. A major advantage of the neurotypical and susceptible neuronal cell models to be used in our studies is that they originate from the same individual;thus, individual genetic background variation is excluded as a confounding variable.
The specific aims are:
Aim 1 : Produce isoautosomal iPSC-derived neuronal precursor cells (NPCs) possessing a normal FMRI gene and NPCs possessing an active FMRI CGG repeat expansion in the mid-premutation, high-premutafion, and full-mutation (FXS) range.
Aim 2 : Identify morphological and functional differences between neuronal cultures with a normal FMRI acfive allele and neuronal cultures with an active FMRI CGG repeat expansion in the mid-premutation, high premutation, or full-mutation (FXS) range.
Aim 2. 1: Identify temporal differences the development of synchronized Ca2+ oscillafions, electrophysiological properties, mitochondrial bioenergefics and oxidative stress among genotypes.
Aim 2. 2: Determine how funcfional anomalies identified in Aim 2.1 influence Ca2+- dependent signaling pathways required for acfivity dependent dendrific growth, especially the CaMKl->CREB->Wnt and P13K->Akt->TSC1/2->mTOR signaling pathways.
Aim 3 : Define the spatiotemporal profile of neuropathological sequelae caused by exposures that mimic the gestational environment in mothers participating in the MARBLES study.
Aim 3. 1: Determine how exposures to individual congeners and complex mixtures that model the most abundant of PBDEs, PCBs, or perfluorinated compounds in maternal plasma alter the morphometric and funcfional outcomes measured in Aim 2. Identify crifical windows of susceptibility among genotypes.
Aim 3. 2: Determine how exposures to cytokine/chemokine profiles identified in maternal plasma influence the morphometric and functional outcomes measured in Aim 2.
Aim 3. 3: Determine whether exposures tested in Aim 3.1 and/or Aim 3.2 differentially alter epigeneflc signatures of global and gene specific (FOXP3, MeCP2, Dnmt3a) methylation among genotypes.
The isoautosomal neuronal models proposed will permit for the first time investigations of how a defined autism susceptibility gene influences susceptibility to environmental factors, e.g., neurotoxicants and cytokine profiles identified in the gestational environment of mothers at high risk for giving birth to an autistic child. Our approach also permits detailed analysis of the molecular and cellular mechanisms of gene X environment interactions promoting neurodevelopmental impairments relevant to autism.
|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 :|
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