Integrative bioinformatics analysis identifies placental senescence-associated signatures in early-onset preeclampsia
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By
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Li Lin
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Ying Chen
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Lei Chen
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Shengyi Gu
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Yao Lai
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Xiang Li
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Jing Peng
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Xiaolin Hua
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July 8, 2026
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Clinical Scorecard: Bioinformatics Integration Reveals Senescence-Related Gene Signatures in Early-Onset Preeclampsia
At a Glance
| Category | Detail |
|---|
| Condition | Early-Onset Preeclampsia (EOPE) |
| Key Mechanisms | Placental senescence and immune dysregulation |
| Target Population | Pregnant individuals with EOPE |
| Care Setting | Clinical research and obstetric care |
Key Highlights
- Identification of 44 senescence-related differentially expressed genes in EOPE placentas.
- Hub genes LEP, ENG, MIF, and CYBB predominantly expressed in trophoblasts and immune cells.
- Senescence-associated activity primarily enriched in the trophoblast lineage.
- LEP implicated in syncytiotrophoblast senescence and dysfunction.
Guideline-Based Recommendations
Diagnosis
- Utilize placental transcriptomic analysis to identify senescence-related gene signatures.
Management
- Consider placental delivery as a definitive treatment for EOPE.
Monitoring & Follow-up
- Monitor for signs of placental dysfunction and maternal multi-organ dysfunction.
Risks
- EOPE is associated with severe placental dysfunction and poorer perinatal outcomes.
Patient & Prescribing Data
Patients diagnosed with early-onset preeclampsia.
Clinical Best Practices
- Integrate multi-omics approaches for comprehensive understanding of EOPE.
- Validate findings in clinical placental specimens through molecular and functional experiments.
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