ArticleBioengineered2021
Immune cell infiltration landscape and immune marker molecular typing in preeclampsia.
Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
- Reduced HSD17B1 expression in preeclampsia: integrated transcriptomic, summary Mendelian randomization, immune deconvolution, and experimental validation.BMC pregnancy and childbirth · 2026Article
- Comprehensive identification of immune-related biomarkers and therapeutic targets in preeclampsia: integrative bioinformatics and experimental validation.BMC pregnancy and childbirth · 2025Article
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- Role of Immune Cells in Mediating the Effect of Lipids on Preeclampsia.Reproductive sciences (Thousand Oaks, Calif.) · 2025Article
- Development of immune-derived molecular markers for preeclampsia based on multiple machine learning algorithms.Scientific reports · 2025Article
- Identification and validation of key biomarkers associated with immune and oxidative stress for preeclampsia by WGCNA and machine learning.Frontiers in genetics · 2025Article
- Using weighted gene co-expression network analysis to identify key genes related to preeclampsia.Frontiers in immunology · 2025Article
- Characterizing immune variation and diagnostic indicators of preeclampsia by single-cell RNA sequencing and machine learning.Communications biology · 2024Article
- Development and validation of preeclampsia predictive models using key genes from bioinformatics and machine learning approaches.Frontiers in immunology · 2024Article
- Identification and preliminary validation of biomarkers associated with mitochondrial and programmed cell death in pre-eclampsia.Frontiers in immunology · 2024Article
- Article
- Role of necroptosis and immune infiltration in preeclampsia: novel insights from bioinformatics analyses.BMC pregnancy and childbirth · 2023Article
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- Article
- Investigation and Validation of Molecular Characteristics of Endometrium in Recurrent Miscarriage and Unexplained Infertility from a Transcriptomic Perspective.International journal of medical sciences · 2022Article
- Interleukin-17 promotes proliferation, migration, and invasion of trophoblasts via regulating PPAR-γ/RXR-α/Wnt signaling.Bioengineered · 2022Article
- The association between hypertension and nonalcoholic fatty liver disease (NAFLD): literature evidence and systems biology analysis.Bioengineered · 2021Article
- Potential therapeutic target genes for systemic lupus erythematosus: a bioinformatics analysis.Bioengineered · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Preeclampsia (PE) is an important topic in obstetrics. In this study, we used weighted gene co-expression network analysis (WGCNA) to screen the key modules related to immune cell infiltration and to identify the hub genes for the molecular subtyping of PE. We first downloaded a set of PE transcriptional data (GSE75010; 157 samples: 80 PE and 77 non-PE) from the GEO database. We then analyzed the PE samples and non-PE samples for immune cell infiltration and screened cells with differences in such infiltration. Next, we downloaded the immune-related genes from an immune-related database to screen the expression profile of the immune-related genes. Then, we obtained a candidate gene set by screening the immune-related genes differentially expressed between the two groups. We used WGCNA to construct a weighted co-expression network for these candidate genes, mined co-expression modules, and then calculated the correlation between each module and immune cells with differential infiltration. We screened the modules related to infiltrating immune cells, identified the key modules' hub genes, and determined the key module genes that interacted with each other. Finally, we obtained the hub genes related to the infiltrating immune cells. We classified the preeclampsia patients by unsupervised cluster molecular typing, determined the difference of immune cell infiltration among the different PE subtypes, and calculated the expression of hub genes in these different subtypes. In conclusion, we found 41 hub genes that may be closely related to the molecular typing of PE.
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