Biomarkers for ischemic stroke subtypes: A protein-protein interaction analysis

Area of Science:

• Biochemistry
• Genomics
• Systems Biology

Background:

• Ischemic stroke is classified into five subtypes.
• Predictive biomarkers for these subtypes remain largely unknown.
• Understanding subtype-specific molecular mechanisms is crucial for targeted therapies.

Purpose of the Study:

• To construct and analyze protein-protein interaction (PPI) networks for all ischemic stroke subtypes.
• To identify critical proteins and predominant biological pathways for each subtype.
• To elucidate potential etiological differences between stroke subtypes.

Main Methods:

• Utilized 6285 protein data from PolySearch2 and STRING databases.
• Constructed the first PPI networks for all five ischemic stroke subtypes.
• Performed Gene Ontology (GO) and DAVID analysis for functional enrichment.

Main Results:

• Identified F2 and PLG as critical proteins across large artery atherosclerosis (LAA), lacunar, cardioembolic, stroke of other determined etiology (SOE), and stroke of undetermined etiology (SUE) subtypes.
• Highlighted "regulation of blood coagulation" (GO:0030193) and "regulation of fibrinolysis" (GO:0051917) as significant functional clusters for all subtypes.
• Indicated inflammation as a key etiology for LAA and lacunar stroke, and suggested FOS and JAK2/STAT3 signaling pathways for cardioembolic stroke.

Conclusions:

• Established foundational PPI networks for ischemic stroke subtypes.
• Revealed common and potentially subtype-specific molecular pathways.
• Further research is needed to clarify the precise etiologies for SOE and SUE due to complex risk factors.