Novel cuproptosis-related prognostic gene profiles in preeclampsia

小桶 医学 怀孕 子痫前期 接收机工作特性 计算生物学 基因 产科 生物信息学 内科学 遗传学 生物 基因表达 基因本体论
作者
Xi Tang,Yi Liu,Yuanyuan Zhang
出处
期刊:BMC Pregnancy and Childbirth [BioMed Central]
卷期号:24 (1)
标识
DOI:10.1186/s12884-023-06215-y
摘要

Abstract Background Preeclampsia (PE) is a pregnancy-specific disorder with complex pathogenesis. Cuproptosis is a novel identified form of programmed cell death, however, the link between cuproptosis and clinical outcomes in PE is still not fully understood. In this study, we searched for cuproptosis-related genes (CRGs) in the placental tissues of normal and PE patients to clarify the importance of cuproptosis in the development of PE and provide potential predictive indicators for the occurrence of PE. Methods Using RNA sequencing data in the GEO database, we conducted functional enrichment analysis of Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA), supported by linear regression model and operating characteristic curve (ROC) curve analysis, and summarized the role of CRGs in preeclampsia. Results A total of 2831 differentially expressed genes related to PE were screened through multiple database analyses. After further intersection with 19 reported CRGs, 5 CRGs have been closely associated with the pathogenesis of PE, including NFE2L2 , PDHA1 , PDHB , DLD and GLS . NFE2L2 was identified as a key central gene. Pearson correlation analysis showed that CRGs could be related to several maternal and fetal outcome factors, including the highest pregnancy blood pressure, placenta weight, umbilical blood flow pulsatility index (PI), and neonatal weight. Linear regression equation revealed that the expression of NFE2L2 is negatively correlated with the highest pregnancy blood pressure and umbilical blood flow PI but positively correlated with placental weight and neonatal weight. QRT-PCR showed that the expression of these CRGs was significantly lower in placental tissues. Conclusions This cuproptosis pattern may be a potential prognostic factor in patients with PE and could provide new insights into disease progression.
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