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December 5, 2025Frontiers in Immunology2 citationsOpen Access

Immune dysregulation in preeclampsia: integrative analysis of peripheral transcriptomes and placental single-cell land-scapes

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SZShu ZhengCSChang Shu

Key Points

  • Preeclampsia displays immune dysregulation with distinct biomarkers identified through integrated analysis.
  • Single-cell RNA sequencing and machine learning enabled feature selection impacting immune activation in placental tissues.
  • Bulk transcriptomic analysis identified candidate genes linked to immune cell deconvolution and cytokine signaling pathways.
  • Findings illuminate molecular mechanisms contributing to immune imbalance, emphasizing future research on these biomarkers for diagnosis.

Abstract

Preeclampsia (PE) is a pregnancy-specific disorder marked by systemic immune imbalance and placental dysfunction, yet the link between peripheral molecular changes and tissue-level immune alterations remains incompletely understood. In this study, we integrated bulk transcriptomic analysis of peripheral blood from pregnant women at high risk for PE with single-cell RNA sequencing (scRNA-seq) of placental tissues to identify key immune-associated genes and explore their functional relevance. Transcriptome-wide differential expression, immune cell deconvolution, co-expression network analysis, and machine learning–based feature selection led to the identification of five candidate genes. Among them, TCL1A , CLEC2B , and LGALS9 exhibited robust expression in both datasets and were subjected to transcriptional and post-transcriptional regulatory network analysis. Single-cell profiling revealed that these genes were distinctly expressed in B cells, natural killer (NK) cells, monocytes, and Hofbauer cells, with functional enrichment in immune activation, cytokine signaling, and immune tolerance pathways. These findings illuminate the molecular mechanisms underlying immune dysregulation in PE and highlight TCL1A , CLEC2B , and LGALS9 as promising biomarkers for early detection and mechanistic investigation of the disease.

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Cite This Study

Zheng et al. (2025) studied this question.

synapsesocial.com/papers/693231118e51979591dcdf5dhttps://doi.org/10.3389/fimmu.2025.1638603
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