Identification of circular RNAs as regulators and noninvasive biomarkers for placenta accreta spectrum

转录组 生物 胎盘 滋养层 胎盘植入 计算生物学 环状RNA 小RNA 生物标志物 竞争性内源性RNA 生物信息学 基因 下调和上调 医学 遗传学 怀孕 长非编码RNA 基因表达 胎儿
作者
Junfang Shi,Mengtian Yang,Xin Cao,Qitao Huang,Fang He,You Peng,J. Jean Cui,Wenqian Chen,Yiming Xu,Wenyan Geng,Laixin Xia,Dunjin Chen,Shan Xiao
出处
期刊:Reproduction [Bioscientifica]
卷期号:165 (4): 417-430 被引量:2
标识
DOI:10.1530/rep-22-0339
摘要

In brief Placenta accreta spectrum (PAS) has an urgent need for reliable prenatal biomarkers. This study profiled the circular RNAs (circRNAs) in PAS placenta and maternal blood and identified two circRNAs can regulate trophoblast cells invasion and serve as noninvasive prenatal biomarkers for PAS prediction. Abstract PAS is one of the most alarming obstetric diseases with high mortality rates. The regulating mechanism underlying PAS remains to be investigated, and reliable blood biomarkers for PAS have not emerged. Circular RNAs (circRNAs) have become important regulators and biomarkers for disparate human diseases. However, the circRNA profiles of PAS were not reported, and the regulatory role and predictive value of circRNAs in PAS were unknown. Here, we comprehensively profiled the circRNAs in the placenta of PAS by transcriptome sequencing and analysis and uncovered 217 abnormally expressed circRNAs. Through competing endogenous RNA network analysis, we found that the target genes of upregulated circRNAs in PAS were enriched in placenta development-related pathways and further uncovered two circRNAs, circPHACTR4 and circZMYM4, that could regulate trophoblast cells invasion and migration in vitro . Finally, we verified that circPHACTR4 and circZMYM4 were also upregulated in the maternal peripheral blood of PAS women before delivery using transcriptome sequencing and RT-qPCR and evaluated their predictive value by ROC curves. We found that circPHACTR4 and circZMYM4 could serve as effective predicting biomarkers for PAS (area under the curve (AUC): 0.86 and 0.85) and propose an improved model for PAS prenatal prediction by combining the conventional ultrasound diagnosis with the new circRNA predictive factors (AUC: 0.91, specificity: 0.89, sensitivity: 0.82).Altogether, this work provides new resources for deciphering the biological roles of circRNAs in PAS, identified two circRNAs that could regulate trophoblast cells invasion during placentation, and revealed two noninvasive diagnostic markers for PAS.
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