Rapid effects of valproic acid on the fetal brain transcriptome: Implications for brain development and autism.
Susan G DorseyEvelina MocciMalcolm V LaneBruce K KruegerPublished in: bioRxiv : the preprint server for biology (2023)
There is an increased incidence of autism among the children of women who take the anti-epileptic, mood stabilizing drug, valproic acid (VPA) during pregnancy; moreover, exposure to VPA in utero causes autistic-like symptoms in rodents and non-human primates. Analysis of RNAseq data obtained from fetal mouse brains 3 hr after VPA administration revealed that VPA significantly [p(FDR) ≤ 0.025] increased or decreased the expression of approximately 7,300 genes. No significant sex differences in VPA-induced gene expression were observed. Expression of genes associated with neurodevelopmental disorders such as autism as well as neurogenesis, axon growth and synaptogenesis, GABAergic, glutaminergic and dopaminergic synaptic transmission, perineuronal nets, and circadian rhythms was dysregulated by VPA. Moreover, expression of 400 autism risk genes was significantly altered by VPA as was expression of 247 genes that have been reported to play fundamental roles in the development of the nervous system, but are not linked to autism by GWAS. The goal of this study was to identify mouse genes that are: (a) significantly up- or down-regulated by VPA in the fetal brain and (b) known to be associated with autism and/or to play a role in embryonic neurodevelopmental processes, perturbation of which has the potential to alter brain connectivity in the postnatal and adult brain. The set of genes meeting these criteria provides potential targets for future hypothesis-driven approaches to elucidating the proximal underlying causes of defective brain connectivity in neurodevelopmental disorders such as autism.
Keyphrases
- resting state
- white matter
- autism spectrum disorder
- intellectual disability
- functional connectivity
- poor prognosis
- genome wide
- gene expression
- cerebral ischemia
- genome wide identification
- bioinformatics analysis
- dna methylation
- endothelial cells
- machine learning
- transcription factor
- emergency department
- long non coding rna
- multiple sclerosis
- oxidative stress
- preterm infants
- genome wide analysis
- congenital heart disease
- risk factors
- quantum dots
- high glucose
- depressive symptoms
- loop mediated isothermal amplification