ArticleGenes2022
Identification of Key Genes and Pathways Associated with Preeclampsia by a WGCNA and an Evolutionary Approach.
Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- A signature serum biomarker for non-invasive diagnosis of preeclampsia patients.Journal of assisted reproduction and genetics · 2025Article
- Article
- Development of immune-derived molecular markers for preeclampsia based on multiple machine learning algorithms.Scientific reports · 2025Article
- The advances of DEAD-box RNA helicase 17 in chronic non-infectious diseases.Frontiers in cardiovascular medicine · 2025Review
- Plasma cell-free extrachromosomal circular DNA is a molecular hallmark of preeclampsia.Computational and structural biotechnology journal · 2025Article
- Donor-specific digital twin for living donor liver transplant recovery.Biology methods & protocols · 2025Article
- Dual specificity phosphatase 1 as a non-invasive circulating biomarker candidate in preeclampsia.Frontiers in endocrinology · 2025Article
- Integrative analysis of metabolome, proteome, and transcriptome for identifying genes influencing total lignin content inFrontiers in plant science · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Preeclampsia (PE) is the serious obstetric-related disease characterized by newly onset hypertension and causes damage to the kidneys, brain, liver, and more. To investigate genes with key roles in PE's pathogenesis and their contributions, we used a microarray dataset of normotensive and PE patients and conducted a weighted gene co-expression network analysis (WGCNA). Cyan and magenta modules that are highly enriched with differentially expressed genes (DEGs) were revealed. By using the molecular complex detection (MCODE) algorithm, we identified five significant clusters in the cyan module protein-protein interaction (PPI) network and nine significant clusters in the magenta module PPI network. Our analyses indicated that (i) human accelerated region (HAR) genes are enriched in the magenta-associated C6 cluster, and (ii) positive selection (PS) genes are enriched in the cyan-associated C3 and C5 clusters. We propose these enriched HAR and PS genes, i.e., EIF4E, EIF5, EIF3M, DDX17, SRSF11, PSPC1, SUMO1, CAPZA1, PSMD14, and MNAT1, including highly connected hub genes, HNRNPA1, RBMX, PRKDC, and RANBP2, as candidate key genes for PE's pathogenesis. A further clarification of the functions of these PPI clusters and key enriched genes will contribute to the discovery of diagnostic biomarkers for PE and therapeutic intervention targets.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.