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Omics · study · 2026

Placental DNA methylation gene networks correlate with wildfire-informed particulate matter exposure and child neurodevelopment outcomes.

Listed in NCBI GEO

Description

Background

Particulate air pollution represents an increasingly prominent prenatal exposure in the western United States, particularly in regions afflicted with heightened wildfire severity. However, the epigenetic impact of these exposures on the placenta remains poorly characterized. Objectives: We investigated whether prenatal exposure to particulate air pollution, from both ambient sources and wildfires, associate with coordinated alterations in placental DNA methylation networks.

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Methods

We performed whole-genome bisulfite sequencing (WGBS) on 221 placentae from the MARBLES and B-SAFE, then performed comethylation network analysis to identify modules of correlated DNA methylation associated with wilfire-informed particulate exposures and neurodevelopmental outcomes. Results: We identified 85 placental comethylation modules, 22 of which were significantly associated with prenatal air pollution exposures.

Preconception and pregnancy exposures associated with distinct module sets. Pregnancy air pollution preferentially correlated with modules annotated to semaphorin signaling and cytoskeletal remodeling pathways, including SEMA3A and RND3. In contrast, preconception exposures were enriched for modules proximal to transcriptional regulators.

Ten exposure-associated modules also correlated with child neurodevelopmental measures, including ASD diagnosis. These modules contained neurodevelopmentally relevant genes, including NHIP, AUTS2, EBF3, PLCB1, and SLIT2, and were enriched for synaptic and cell-cell signaling pathways. Conclusions: Prenatal air pollution exposure associates with temporally and source-specific placental methylation networks enriched for signaling pathways relevant to placental function and neurodevelopment.

These findings support the placenta as an epigenetic interface linking air pollution exposure to altered developmental trajectories.

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From keywords
Life Sciences
Inferred from text
Sequencing 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE32495915 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:methylation-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title