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Sex and tissue resolved co-expression networks reveal a female placental–brain axis protective against prenatal PCB exposure

GSE315769 Mus musculus Expression profiling by high throughput sequencing 192 samples 2026/03/12 GPL24247
Summary
Background: Neurodevelopmental disorders have a strong male bias that is poorly understood, Placenta is a rich source of molecular information about environmental interactions with genetics (including biological sex), that affect the developing brain. We investigated placentalbrain transcriptional responses in an established mouse model of human-relevant prenatal exposure to polychlorinated biphenyls (PCBs). Results: To understand sex, tissue, and dosage effects in embryonic (E18) brain and placenta RNAseq datasets, we used weighted gene correlation network analysis (WGCNA) to create correlated gene networks that could be compared across sex or tissue. WGCNA revealed that expression within most correlated gene networks were significantly and strongly associated with PCB exposures, but frequently in opposite directions between male-female and placenta-brain comparisons. In both WGCNA and differentially expressed gene analyses, male brain showed more PCB-induced transcriptional changes than male placenta, but the reverse pattern was seen in females. Furthermore, non-monotonic dose responses to PCBs were observed in most gene networks, but were most prominent in male brain. The transcriptomic effects of low dose PCB exposure were significantly reversed by dietary folic acid supplementation across both sexes, but these effects were strongest in female placenta. PCB-dysregulated and folic acid reversed gene networks were commonly enriched in functions in metabolic pathways involved in energy usage and translation, with female-specific protective effects enriched in PPAR, thermogenesis, glycerolipids, and O-glycan biosynthesis, as opposed to toxin responses in male brain. Conclusions: The female protective effect in prenatal PCB exposures appears to be mediated by dose-dependent sex differences in transcriptional modulation of metabolism in placenta.
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