Literature DB >> 34260616

Placental DNA methylation changes and the early prediction of autism in full-term newborns.

Ray O Bahado-Singh1, Sangeetha Vishweswaraiah1, Buket Aydas2, Uppala Radhakrishna1.   

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.

Entities:  

Year:  2021        PMID: 34260616     DOI: 10.1371/journal.pone.0253340

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  3 in total

1.  Future Prospects for Epigenetics in Autism Spectrum Disorder.

Authors:  Logan A Williams; Janine M LaSalle
Journal:  Mol Diagn Ther       Date:  2022-08-13       Impact factor: 4.476

2.  A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders.

Authors:  Shouyao Zhang; Shuang Wang; Ruilu Liu; Hang Dong; Xinghe Zhang; Xiantao Tai
Journal:  Front Psychiatry       Date:  2022-08-29       Impact factor: 5.435

3.  DNA Methylation Profiles of GAD1 in Human Cerebral Organoids of Autism Indicate Disrupted Epigenetic Regulation during Early Development.

Authors:  Georgina Pearson; Chenchen Song; Sonja Hohmann; Tatyana Prokhorova; Tanja Maria Sheldrick-Michel; Thomas Knöpfel
Journal:  Int J Mol Sci       Date:  2022-08-16       Impact factor: 6.208

  3 in total

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