Integrative analysis of hub genes for recurrent pregnancy loss with antiphospholipid syndrome: integrated bioinformatics analysis, machine learning and experimental validation - Report - MDSpire
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Integrative analysis of hub genes for recurrent pregnancy loss with antiphospholipid syndrome: integrated bioinformatics analysis, machine learning and experimental validation
Clinical Report: Key Genes in Recurrent Pregnancy Loss and Antiphospholipid Syndrome
Overview
This study identifies three hub genes associated with recurrent pregnancy loss (RPL) in patients with antiphospholipid syndrome (APS), enhancing understanding of their pathogenesis. The findings suggest potential biomarkers and therapeutic targets for RPL linked to APS.
Background
Recurrent Pregnancy Loss (RPL) significantly impacts reproductive health, affecting approximately 2.5% of women. Antiphospholipid Syndrome (APS) is a leading cause of immune-related RPL, with a prevalence of 7%–25% among affected women. Understanding the genetic underpinnings of RPL in the context of APS is crucial for developing targeted diagnostic and therapeutic strategies.
Data Highlights
Gene
Expression Change
NAA30
Hub Gene Identified
ARHGAP44
Hub Gene Identified
SUGT1
Downregulated in RPL with APS
Key Findings
Identified 10 common differentially expressed genes (DEGs) in RPL and APS.
Eight DEGs were downregulated and two were upregulated.
Imbalance of immune system-associated cells is a characteristic of both APS and RPL.
Machine learning techniques identified NAA30, ARHGAP44, and SUGT1 as hub genes.
SUGT1 influences the biological behavior of trophoblast cells.
Clinical Implications
The identification of hub genes provides potential biomarkers for diagnosing RPL in APS patients. Clinicians may consider these genes in developing targeted therapeutic strategies to improve pregnancy outcomes in affected women.
Conclusion
This study enhances the understanding of the molecular mechanisms underlying RPL associated with APS and highlights potential diagnostic and therapeutic targets.