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Epigenetics and DNA Methylation / Pancreatic Function and Diabetes / Autism Spectrum Disorder Research · Journal article
International Journal of Molecular Sciences · September 9, 2026
Early or partial results. Treat as a signal, not a conclusion.
This pilot study identified 249 differentially methylated region-associated genes in cord blood from 2 infants later diagnosed with ASD, with enrichment in homophilic cell–cell adhesion (PCDHA1–PCDHA8 cluster) and neuronal morphogenesis pathways. The findings are explicitly preliminary and hypothesis-generating, requiring validation in larger independent cohorts before any clinical or biomarker application.
Prospective pilot cohort study with targeted methylation sequencing and neurodevelopmental assessment. Infants born to mothers with obesity and gestational diabetes (2 later diagnosed with ASD; 6 healthy) and healthy controls born to mothers without metabolic complications (n=6). All infants had cord blood sampling and neurodevelopmental assessment.. Intervention: Cord blood DNA methylation profiling via targeted methyl-capture sequencing (3.34 million CpG sites). Compared with: ASD cases compared to healthy infants in both metabolically affected (IODM) and control (IHM) groups. n = 14.
Identified 249 DMR-associated genes common to ASD vs. healthy controls (IHM, n=6) and ASD vs. metabolically affected healthy infants (IODM, n=6) comparisons Homophilic cell–cell adhesion pathway showed highest enrichment (fold enrichment = 8.28; FDR = 6.31 × 10−6), driven by PCDHA1–PCDHA8 cluster Neuronal morphogenesis pathway enrichment (fold enrichment = 3.45; FDR = 2.08 × 10−2)
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These findings do not yet support clinical action. The work is explicitly presented as hypothesis-generating for future biomarker research. Clinicians should await larger prospective validation studies before considering cord blood methylation patterns for ASD risk stratification or early detection.
Pilot study with n=2 ASD cases using exploratory epigenetic sequencing; identifies candidate loci requiring validation in larger cohorts.
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Quoted from the source exactly as published.
These findings do not yet support clinical action. The work is explicitly presented as hypothesis-generating for future biomarker research. Clinicians should await larger prospective validation studies before considering cord blood methylation patterns for ASD risk stratification or early detection.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Rising reported Autism Spectrum Disorder (ASD) prevalence underscores the need to explore early perinatal biological markers. To conduct an exploratory pilot investigation of cord blood DNA methylation patterns as potential early epigenetic candidate loci associated with ASD in infants born to mothers with obesity and gestational diabetes. This prospective pilot study analyzed 14 mother-infant pairs comprising infants born to mothers with obesity and gestational diabetes later diagnosed with ASD (n = 2); healthy infants born to mothers with obesity and diabetes (IODM, n = 6); and healthy controls (IHM, n = 6). Targeted methyl-capture sequencing (covering 3.34 million CpG sites) identified differentially methylated region (DMR)-associated genes. Neurodevelopment was evaluated at 24–26 months using Bayley-III scales. ASD infants showed lower Bayley-III scores across all domains. In this small cohort (n = 2 ASD cases), we identified 249 DMR-associated genes common to both ASD vs. IHM and ASD vs. IODM comparisons, representing preliminary candidate loci. Enrichment analysis identified homophilic cell–cell adhesion as the most significant pathway (fold enrichment = 8.28; FDR = 6.31 × 10−6), driven by the PCDH1–PCDHA8 cluster, alongside morphogenesis in neuron differentiation (fold enrichment = 3.45; FDR = 2.08 × 10−2). Although prospective validation in larger independent cohorts is required, these pilot results suggest that cord blood PCDHA1–PCDHA8 cluster methylation alterations represent preliminary candidate loci for hypothesis generation and future biomarker evaluation, regardless of maternal metabolic status.
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