Identification of immune-related genes and molecular subtypes associated with preeclampsia via bioinformatics analysis and experimental validation.

IF 2.7 3区生物学

Hereditas Pub Date : 2025-05-29 DOI:10.1186/s41065-025-00458-9

Tingting Zhao, Ying Peng

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引用次数: 0

Abstract

Background: Preeclampsia (PE) is a pregnancy disorder that occurs after 20 weeks of pregnancy. The objective of this study was to identify potential immune-related biomarkers and molecular subtypes for the treatment of PE.

Methods: Three datasets of GSE10588, GSE25906 and GSE48424 were downloaded from the Gene Expression Omnibus (GEO) database. The names of immune-related genes were retrieved from the ImmPort immune database. To screen the differentially expressed immune-related genes, the "limma" R package was used. An analysis of logistic regression was used to identify the key genes and a nomogram was constructed using these key genes. These key gene expression profiles were further validated using qRT-PCR. In addition, the landscape of immune cell infiltration was investigated using the CIBERSORTX software. The potential molecular subtypes of PE were also investigated using the "ConsensusClusterPlus" R package.

Results: The 103 immune-related genes differentially expressed were identified, including 47 up-regulated genes and 56 down-regulated genes. Univariate and multivariate logistic regression analysis was used to screen five key genes, including CCL24, ENG, LCP2, GNAI1 and FLT3. The key genes were strongly associated with immune cell infiltration. Two molecular subtypes (C1 and C2) were identified. Both exhibited distinct levels of immune cell infiltration and gene expression.

Conclusion: This study identified five key genes, as well as immune-related subtypes, that could provide potential therapeutic targets and aid in the design of more precise PE immunotherapy.

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通过生物信息学分析和实验验证鉴定与子痫前期相关的免疫相关基因和分子亚型。

背景：先兆子痫（PE）是一种发生在妊娠20周后的妊娠疾病。本研究的目的是确定PE治疗的潜在免疫相关生物标志物和分子亚型。方法：从Gene Expression Omnibus （GEO）数据库中下载GSE10588、GSE25906和GSE48424三个数据集。免疫相关基因的名称从import免疫数据库中检索。采用“limma”R包筛选差异表达的免疫相关基因。采用逻辑回归分析方法对关键基因进行鉴定，并利用这些关键基因构建了模态图。这些关键基因表达谱通过qRT-PCR进一步验证。此外，利用CIBERSORTX软件研究免疫细胞浸润的景观。使用“ConsensusClusterPlus”R包还研究了PE的潜在分子亚型。结果：共鉴定出103个差异表达的免疫相关基因，其中上调基因47个，下调基因56个。采用单因素和多因素logistic回归分析筛选CCL24、ENG、LCP2、GNAI1和FLT3 5个关键基因。关键基因与免疫细胞浸润密切相关。鉴定出两种分子亚型（C1和C2）。两者均表现出不同水平的免疫细胞浸润和基因表达。结论：本研究确定了5个关键基因，以及免疫相关亚型，可以提供潜在的治疗靶点，并有助于设计更精确的PE免疫疗法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Hereditas Biochemistry, Genetics and Molecular Biology-Genetics

CiteScore

3.80

自引率

3.70%

发文量

期刊介绍： For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.