摘要
      先兆子痫（PE）是一种妊娠期疾病，母亲和新生儿的发病率和死亡率都很高。本研究探讨了PE的潜在诊断指标。
我们从基因表达综合数据库下载了GSE75010数据集的信使核糖核酸图谱，并使用胎盘样本进行了不同的分析，包括差异表达、基因本体论和京都基因和基因组百科全书分析。构建了最小绝对收缩和选择算子回归，绘制了受试者工作特性曲线，以评估模型的准确性。进行了外部验证，以证明风险模型的稳定性。
我们发现了140个血管生成相关基因，并在两组之间鉴定了29个血管生成有关基因，包括12个上调基因和17个下调基因。此外，我们建立了一个12基因风险特征，该特征在预测妊娠期PE方面具有很高的准确性（曲线下面积 = 0.90）。免疫浸润特征在两组中分布不同，这可能是妊娠期高血压的原因。GSE25906数据集的外部验证证实了我们模型的高精度（曲线下面积 = 0.87).
我们的研究结果概述了一组可能参与PE及其亚组的基因的特征，有助于更好地理解PE的分子机制。
Abstract
Preeclampsia (PE) is a pregnancy disorder with high morbidity and mortality rates for both mothers and newborns. This study explores potential diagnostic indicators of PE.

We downloaded the messenger ribonucleic acid profiles of the GSE75010 dataset from the Gene Expression Omnibus database, and used placenta samples to carry out different analyses including differential expression, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes analyses. Least absolute shrinkage and selection operator regression was constructed and the receiver operating characteristic curve was drawn to evaluate the accuracy of the model. An external validation was conducted to prove the stability of the risk model.

We found 140 angiogenesis-related genes and identified 29 angiogenesis-related genes between the 2 groups, including 12 upregulated genes and 17 downregulated genes. In addition, we established a 12-gene risk signature, which has a high accuracy in predicting PE during pregnancy (area under curve = 0.90). The immune infiltration characteristics are differentially distributed in the 2 groups, which may be the cause of hypertension during pregnancy. The external validation with the GSE25906 dataset confirmed the high accuracy of our model (area under curve = 0.87).

Our results outline the characteristics of a set of genes potentially involved in PE and its subgroups, contributing to a better understanding of the molecular mechanisms of PE.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902003/