Enhanced stability of hairpin-functionalized DNA tetrahedral nanostructures for miRNA detection in plasma from ischemic stroke patients
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Published on: October 26, 2017
Jiansheng Su1, Tingshan Liu1, Min Wang1
1Department of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, China.
Abstract:
The enzyme-free amplification technique using the Hybridization Chain Reaction (HCR) is gaining traction for its efficiency in miRNA analysis. Conventional HCR (C-HCR) with hairpin probes faces challenges due to enzymatic degradation in body fluids, leading to potential false-positive results. This study addresses the critical need for a more reliable method that resists enzymatic breakdown and improves diagnostic accuracy for detecting miRNA related to ischemic stroke. We have developed a novel DNA tetrahedral nanostructures-mediated HCR (DTN-HCR) platform for the precise detection of microRNA-25 (miR-25), a biomarker for ischemic stroke. Incorporating two unique DNA tetrahedral nanostructures with embedded hairpin structures (DTN-HP1 and DTN-HP2), this platform activates upon miR-25 binding, initiating a robust DTN-HCR reaction. This reaction forms extensive DNA tetrahedron clusters that significantly boost the fluorescence signal, enabling detection thresholds as low as 5.4 pM. The method showcases exceptional specificity by distinguishing target miRNA from close analogues and maintains structural integrity against DNase I and fetal bovine serum (FBS), verified through polyacrylamide gel electrophoresis (PAGE). It successfully differentiates ischemic stroke patients from healthy controls by analyzing peripheral blood-derived miRNAs. This study concludes that the DTN-HCR platform substantially enhances the specificity and stability of miRNA detection, marking a significant advancement in non-enzymatic miRNA analysis techniques. With its capability to accurately identify ischemic stroke biomarkers at very low concentrations and its resistance to enzymatic degradation, the DTN-HCR method presents a valuable diagnostic tool for ischemic stroke, potentially improving early detection and monitoring in a clinical environment.

