Neutrophil-Related Gene Signatures for Ischemic Stroke Diagnosis

Area of Science:

• Biomedical Research
• Genomics
• Computational Biology

Background:

• Ischemic stroke (IS) is a leading global cause of death and disability.
• The role of neutrophil extracellular trap-related genes (NRGs) in IS pathogenesis and diagnosis is largely unknown.

Purpose of the Study:

• To investigate the transcriptional mechanisms of NRGs in IS.
• To identify potential diagnostic biomarkers for IS using machine learning and scRNA-seq.

Main Methods:

• Differential gene expression analysis and functional enrichment on GEO datasets.
• Machine learning algorithms to identify IS-associated NRGs.
• Single-cell RNA sequencing (scRNA-seq) to analyze NRG expression in different cell types and validate Eno1 in a mouse model.

Main Results:

• Identified 26 differentially expressed NRGs (DE-NRGs).
• Developed diagnostic models using five DE-NRGs (ENO1, HMGB1, ILK, ORAI1, SUCNR1) with high predictive accuracy.
• Confirmed high NRG expression in IS and significant Eno1 upregulation.

Conclusions:

• Identified a DE-NRG diagnostic model for IS risk stratification.
• DE-NRGs show diagnostic potential and may serve as therapeutic targets for IS.
• Further research is needed to fully elucidate the role of DE-NRGs in IS.