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ORIGINAL RESEARCH article

Front. Immunol.
Sec. Systems Immunology
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1496046
This article is part of the Research Topic Advancements in Understanding and Managing Preeclampsia: Exploring Molecular Mechanisms, Biomarkers, and Clinical Implications View all 3 articles

Identification of genes involved in energy metabolism in preeclampsia and discovery of early biomarkers

Provisionally accepted
Ruohua Li¹ Ruohua Li¹ Cuixia Zhou¹ Cuixia Zhou¹ Kejun Ye¹ Kejun Ye¹ Haihui Chen¹ Haihui Chen¹ Mengjia Peng Mengjia Peng *
  • Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China

The final, formatted version of the article will be published soon.

    Background: Preeclampsia is a complex pregnancy condition marked by hypertension and organ dysfunction, posing significant risks to maternal and fetal health. This study investigates the role of energy metabolism-associated genes in preeclampsia development and identifies potential early diagnostic biomarkers.Methods: Preeclampsia datasets from Gene Expression Omnibus were analyzed for batch correction, normalization, and differential expression. Enrichment analyses using gene ontology, Kyoto Encyclopedia of Genes and Genomes, and gene set enrichment were performed. Protein-protein interaction networks were constructed to identify key genes, and regulatory networks involving transcription factors, miRNAs, and RNA-binding proteins were established. Differential expression was validated with receiver operating characteristic curve analyses, and immune infiltration was assessed.Results: Six energy metabolism-related genes were identified. Enrichment analyses revealed their involvement in glycolysis, gluconeogenesis, lipid transport, bone remodeling, and glucagon secretion. Key differentially expressed genes included CRH(Corticotropin-Releasing Hormone), LEP(Leptin), PDK4(Pyruvate Dehydrogenase Kinase Isozyme 4), SPP1(Secreted Phosphoprotein 1), and SST(Somatostatin). PDK4 exhibited moderate accuracy in receiver operating characteristic analysis. Immune infiltration analysis indicated significant differences between preeclampsia and control samples. qRT-PCR confirmed LEP and CRH increased, while SPP1 expression in preeclampsia samples.Conclusion: Dysregulated energy metabolism-related genes may contribute to preeclampsia through metabolic and immune changes. Identifying these genes aids in understanding preeclampsia's molecular basis and early diagnosis. Future studies should validate these markers in larger cohorts and explore targeted treatments.

    Keywords: Preeclampsia, Energy Metabolism, Gene Expression, biomarkers, Immune infiltration

    Received: 15 Sep 2024; Accepted: 16 Jan 2025.

    Copyright: © 2025 Li¹, Zhou¹, Ye¹, Chen¹ and Peng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Mengjia Peng, Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.