Abstract

Autism spectrum disorder (ASD) is associated with abnormal brain development during fetal life. Overall, increasing evidence indicates an important role of epigenetic dysfunction in ASD. The placenta is critical to and produces neurotransmitters that regulate fetal brain development. We hypothesized that placental DNA methylation changes are a feature of the fetal development of the autistic brain and importantly could help to elucidate the early pathogenesis and prediction of these disorders. Genome-wide methylation using placental tissue from the full-term autistic disorder subtype was performed using the Illumina 450K array. The study consisted of 14 cases and 10 control subjects. Significantly epigenetically altered CpG loci (FDR p-value <0.05) in autism were identified. Ingenuity Pathway Analysis (IPA) was further used to identify molecular pathways that were over-represented (epigenetically dysregulated) in autism. Six Artificial Intelligence (AI) algorithms including Deep Learning (DL) to determine the predictive accuracy of CpG markers for autism detection. We identified 9655 CpGs differentially methylated in autism. Among them, 2802 CpGs were inter- or non-genic and 6853 intragenic. The latter involved 4129 genes. AI analysis of differentially methylated loci appeared highly accurate for autism detection. DL yielded an AUC (95% CI) of 1.00 (1.00-1.00) for autism detection using intra- or intergenic markers by themselves or combined. The biological functional enrichment showed, four significant functions that were affected in autism: quantity of synapse, microtubule dynamics, neuritogenesis, and abnormal morphology of neurons. In this preliminary study, significant placental DNA methylation changes. AI had high accuracy for the prediction of subsequent autism development in newborns. Finally, biologically functional relevant gene pathways were identified that may play a significant role in early fetal neurodevelopmental influences on later cognition and social behavior.

Highlights

  • Autism is a neurological disorder that is characterized by social, communication, and cognitive dysfunction and is clinically heterogeneous [1,2,3]

  • We identified children that were diagnosed with classic autism by a pediatric neurologist, and who had delivered at WSU, and for whom placental histology was performed

  • Principal Component Analysis (PCA) showed a clear separation of autism spectrum disorder (ASD) cases and normal control subjects (S1 Fig)

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Summary

Introduction

Autism is a neurological disorder that is characterized by social, communication, and cognitive dysfunction and is clinically heterogeneous [1,2,3]. It generally manifests before the age of 3 years [4]. ASD is mediated by genetic, epigenetic, environmental influences, and immune dysfunction [3]. DNA methylation changes in autism manifest in the brain, placenta, and blood [7]. The placenta produces neurotransmitters such as serotonin, dopamine, norepinephrine/ epinephrine along with nutrient transfer and gases that contribute to a major degree to fetal neurodevelopment [9] and neurodevelopmental disorders [8]

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