A review of omics approaches to study preeclampsia

Area of Science:

• Reproductive Medicine
• Genomics and Bioinformatics
• Biomarker Discovery

Background:

• Preeclampsia affects 5-10% of pregnancies, posing significant risks to maternal and fetal health.
• The precise etiology of preeclampsia remains unclear, necessitating advanced research approaches.
• Big data and high-throughput omics technologies offer new avenues for systematic investigation.

Purpose of the Study:

• To review recent advancements in preeclampsia research utilizing diverse omics platforms.
• To integrate findings from individual omics studies to identify potential biomarkers.
• To explore molecular mechanisms underlying preeclampsia through network analysis.

Main Methods:

• Review of literature on epigenetics, genome-wide association studies (GWAS), transcriptomics, proteomics, and metabolomics in preeclampsia.
• Integration of data from various omics studies.
• Network analysis of identified biomarkers.

Main Results:

• While no single biomarker is consistently identified across all omics studies, inhibin shows promise as a preeclampsia biomarker.
• Evidence supporting inhibin as a biomarker comes from GWAS, transcriptomics, and DNA methylation studies.
• Network analysis identified four distinct sub-networks with clear biological functions relevant to preeclampsia.

Conclusions:

• Omics integration provides a powerful approach to unraveling the complex molecular mechanisms of preeclampsia.
• Identifying key biological pathways and biomarkers is crucial for understanding and potentially treating preeclampsia.
• Further research integrating multi-omics data is warranted to advance preeclampsia diagnostics and therapeutics.