ArticlePloS one2021
Placental DNA methylation changes and the early prediction of autism in full-term newborns.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- The future of Alzheimer's disease risk prediction: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Pooled it
- A bibliometric analysis of research trends of artificial intelligence in the treatment of autistic spectrum disorders.Frontiers in psychiatry · 2022Pooled it
- A Critical Synthesis of Machine Learning in Autism Spectrum Disorder Genomic Research: From Transcriptomics to Microbiome.Medeniyet medical journal · 2026Article
- The role of machine learning in autism spectrum disorder assessment and management.Pediatric research · 2025Review
- Placental Alterations in Autism Spectrum Disorder: An In Silico Approach to circRNA-miRNA-mRNA Networks.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2025Article
- Emerging Epigenetic Therapeutics and Diagnostics for Autism Spectrum Disorder.Current issues in molecular biology · 2025Review
- [Advances in research on gender differences in autism spectrum disorders].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025Review
- Placental biomarkers for the prediction of neurodevelopmental disorders.Frontiers in cell and developmental biology · 2025Review
- DNA Methylation in Autism Spectrum Disorders: Biomarker or Pharmacological Target?Brain sciences · 2024Review
- Epigenetic Responses to Nonchemical Stressors: Potential Molecular Links to Perinatal Health Outcomes.Current environmental health reports · 2024Review
- Paternal aging impacts expression and epigenetic markers as early as the first embryonic tissue lineage differentiation.Human genomics · 2024Article
- Intercontinental insights into autism spectrum disorder: a synthesis of environmental influences and DNA methylation.Environmental epigenetics · 2024Review
- Traversing the epigenetic landscape: DNA methylation from retina to brain in development and disease.Frontiers in cellular neuroscience · 2024Review
- Exogenous IL-17A Alleviates Social Behavior Deficits and Increases Neurogenesis in a Murine Model of Autism Spectrum Disorders.International journal of molecular sciences · 2023Article
- Prenatal delta-9-tetrahydrocannabinol exposure is associated with changes in rhesus macaque DNA methylation enriched for autism genes.Clinical epigenetics · 2023Article
- Prenatal DEHP exposure predicts neurological disorders via transgenerational epigenetics.Scientific reports · 2023Article
- Placental DNA methylation profile as predicting marker for autism spectrum disorder (ASD).Molecular medicine (Cambridge, Mass.) · 2023Review
- Residential green space in association with the methylation status in a CpG site within the promoter region of the placental serotonin receptorEpigenetics · 2022Article
- Future Prospects for Epigenetics in Autism Spectrum Disorder.Molecular diagnosis & therapy · 2022Review
- DNA Methylation Profiles ofInternational journal of molecular sciences · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.