Screening and analysis of plasma differential lncRNA/mRNA in early pregnancy of preeclampsia

Xin Zhang1,2,3, Ning Yang4, Jie Lu1,5

  • 1Clinical School of Cardiovascular Disease, Tianjin Medical University, Tianjin, 300457, China.

Insights

Early pregnancy long non-coding RNA (lncRNA) and messenger RNA (mRNA) expression is altered in preeclampsia (PE). These changes correlate with disease pathways and may offer novel biomarkers for early PE detection.

Area of Science:

  • Reproductive biology
  • Molecular genetics
  • Biomarker discovery

Background:

  • Preeclampsia (PE) is a serious pregnancy complication.
  • Early diagnosis of PE remains a challenge.
  • Identifying molecular signatures in early pregnancy is crucial for timely intervention.

Purpose of the Study:

  • To characterize long non-coding RNA (lncRNA) and messenger RNA (mRNA) expression profiles in early pregnancy plasma of preeclampsia (PE) patients.
  • To identify key signaling pathways and biological functions associated with dysregulated transcripts in PE.
  • To evaluate the potential of these transcripts as early diagnostic biomarkers for PE.

Main Methods:

  • Analysis of plasma samples from eight PE patients and eight controls using transcriptome sequencing (Illumina HiSeq 4000).
  • Identification of differentially expressed lncRNAs and mRNAs (|fold change (FC)| ≥ 2, P ≤ 0.05).
  • Functional enrichment analyses (Gene Ontology, KEGG) and lncRNA-mRNA coexpression network construction.

Main Results:

  • Identified 361 dysregulated lncRNAs and 3,798 dysregulated mRNAs in PE plasma.
  • Top transcripts include ENST00000440816 (lncRNA) and TEX35 (mRNA).
  • Enrichment in inflammatory response, cell adhesion, PI3K-AKT, NF-κB, and mTOR signaling pathways; associations with oxidative stress.

Conclusions:

  • Early pregnancy plasma lncRNAs and mRNAs are significantly dysregulated in PE, correlating with pathogenic pathways.
  • Specific lncRNAs (|log2FC| ≥ 5) and mRNAs (|log2FC| ≥ 6) show potential as novel biomarkers for early PE prediction.
  • These findings support the use of transcriptomic analysis for early PE diagnosis and therapeutic target identification.
Abstract

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