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A Comparative Serum Proteomic Analysis in Large-Artery Atherosclerosis Patients Progressing to Acute Ischemic Stroke: Discovery of Predictive Biomarker Panels

ABSTRACT: To predict acute ischemic stroke (AIS) in large-artery atherosclerosis (LAA), we combined serum proteomics with machine learning to identify diagnostic biomarkers. Using a dual-cohort design, we analyzed proteins and validated targets through advanced proteomic techniques. Machine learning identified two protein panels: one distinguishing AIS from LAA and another differentiating AIS/LAA from healthy controls. These panels capture dynamic pathophysiological processes, offering scalable tools for stroke prediction in high-risk LAA populations, surpassing conventional anatomical assessments.

ORGANISM(S): Homo Sapiens

SUBMITTER: Ningshao Xia

PROVIDER: PXD061679 | iProX | Tue Mar 11 00:00:00 GMT 2025

REPOSITORIES: iProX

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