Date of Award
Spring 5-4-2024
Document Type
Honors Thesis
Department/Major
Basic Biomedical Science
First Advisor
Dr. William C.W. Chen
Second Advisor
Dr. Luye Qin
Third Advisor
Beate Wone
Keywords
ischemic stroke, inflammation, oxidation, synthetic biomarker system, genetic sensor
Subject Categories
Medical Molecular Biology
Abstract
Stroke, particularly Ischemic Stroke (IS) affects millions of individuals across the world each year . Current diagnostic methods like CT scans and MRI imaging have limitations in detecting minor IS due to the limited spatial resolution of the CT scan and the feasibility and access to MRIs warranting a more effective method of early detection. Natural biomarkers are currently ineffective in detecting IS prior to severe damage like rapid cell death (32,000 cells/sec) post arterial blockage because there is minimal amount of natural biomarkers expressed from minor cellular damage . Our proposed Synthetic Biomarker System (SBS) would solve this by enabling rapid self-tests at home so that IS patients can seek timely medical attention. The SBS consists of 2 genetic sensors—WCbp16 and WCbp39—to detect IS-induced inflammatory and oxidative cellular stress within BEND3 mouse endothelial cells. We hypothesize that once our SBS is delivered into brain cells, will be able to detect IS-induced inflammation and oxidation at differing severities. We examined the reporter expression via Green Fluorescence Protein signaling and found a correlation between IS induced cellular damage and the amount of reporter expression. Future experiment is warranted to better understand the sensitivity of the SBS.
Recommended Citation
Matthies, Mason L., "Development of a Synthetic Biomarker System for Early Detection of Ischemic Stroke" (2024). Honors Thesis. 343.
https://red.library.usd.edu/honors-thesis/343