@article {31218,
	title = {Hypermethylation of PI3K-AKT signalling pathway genes is associated with human neural tube defects},
	journal = {Epigenetics },
	volume = {17},
	year = {2022},
	pages = {133-146},
	abstract = {Neural tube defects (NTDs) are a group of common and severe congenital malformations. The PI3K-AKT signalling pathway plays a crucial role in the neural tube development. There is limited evidence concerning any possible association between aberrant methylation in PI3K-AKT signalling pathway genes and NTDs. Therefore, we aimed to investigate potential associations between aberrant methylation of PI3K-AKT pathway genes and NTDs. Methylation studies of PI3K-AKT pathway genes utilizing microarray genome-methylation data derived from neural tissues of ten NTD cases and eight non-malformed controls were performed. Targeted DNA methylation analysis was subsequently performed in an independent cohort of 73 NTD cases and 32 controls to validate the methylation levels of identified genes. siRNAs were used to pull-down the target genes in human embryonic stem cells (hESCs) to examine the effects of the aberrant expression of target genes on neural cells. As a result, 321 differentially hypermethylated CpG sites in the promoter regions of 30 PI3K-AKT pathway genes were identified in the microarray data. In target methylation analysis,\&nbsp;CHRM1, FGF19, and\&nbsp;ITGA7\&nbsp;were confirmed to be significantly hypermethylated in NTD cases and were associated with increased risk for NTDs. The down-regulation of\&nbsp;FGF19, CHRM1, and\&nbsp;ITGA7\&nbsp;impaired the formation of rosette-like cell aggregates. The down-regulation of those three genes affected the expression of PAX6, SOX2 and MAP2, implying their influence on the differentiation of neural cells. This study for the first time reported that hypermethylation of PI3K-AKT pathway genes such as\&nbsp;CHRM1, FGF19, and\&nbsp;ITGA7\&nbsp;is associated with human NTDs. Keywords:\&nbsp;Neural tube defects,; PI3K-AKT signalling pathway; methylation.},
	url = {https://pubmed.ncbi.nlm.nih.gov/33491544/},
	author = {Tian Tian and Xinyuan Lai and Kuanhui Xiang and Xiao Han and Shengju Yin and Robert M Cabrera and John W Steele and Yunping Lei and Xuanye Cao and Finnell, Richard H. and Linlin Wang and Ren, Aiguo}
}
