Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Extracellular Vesicle Surface Markers In Acute Cerebrovascular Syndromes.

Ospedale Civico, Lugano · 2022
ClinicalTrials.gov · Datasets · License: Public Domain · 2022
Open Source ↗
stroke
Clinical implication of eventual blood biomarkers for stroke diagnosis and prognosis would be limited, mainly because clinical evaluation and scales (providing stroke severity) or neuroimaging (providing accurate size of the lesion) are more reliable predictors for clinical outcome prediction. In clinical practice, it would be more useful to find a biomarker, which can help to orientate the physician in conditions in which the clinical picture and imaging provide a limited support. Transient Ischemic Attacks (TIAs) represent a classical example for which a biomarker would be of interest to confirm and distinguish a brain ischemic process from a stroke mimic. Diagnostic biomarkers of TIA have been investigated, but none of the potential candidates reached enough accuracy for TIA diagnosis. Our group has found that Extracellular Vesicles (EVs) could be useful as biomarkers for detecting brain ischemia in patients with TIA because the EV-surface antigen profile appears to be different in patients with transient symptoms, adjudicated to be very likely caused by brain ischemia, compared to patients whose symptoms were less likely to due to brain ischemia. Our study has raised interest in the scientific community recognizing the promising role of of blood-derived EVs analysis in expanding the possibilities to correctly diagnose and classify TIA and stroke events, discriminate them from TIA or stroke mimics, with important future implications in management and therapy of the patients with acute ischemic cerebrovascular syndrome. the validity of our approach needs to be tested in a larger, prospective, multicenter study.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1462687
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive