Dual amplified electrochemical sensing coupling of ternary hybridization-based exosomal microRNA recognition and perchlorate-assisted electrocatalytic cycle

Abstract

Exosomal microRNA (miRNA) are important biomarkers for liquid biopsy, and display clinical molecular signatures for cancer diagnosis. Although advanced detection methods have been established to detect exosomal miRNAs, they are faced with certain challenges. Therefore, we aimed to establish a dual amplification-based electrochemical method for detecting exosomal miRNA. This method combined a two-hairpins-based ternary hybridization structure (thTHS)-initiated single-stranded DNA (ssDNA) amplification reaction (ssDAR) and sodium perchlorate (NaClO4)-assisted electrocatalytic cycle. Two DNA hairpins were designed to hybridize with target miRNA, forming thTHS. Next, ssDAR was triggered by thTHS to produce long ssDNA on magnetic beads. The long ssDNA, complementary to the signal probes, was subsequently released onto a methylene blue (MB)-labeled double-stranded DNA-modified electrode for strand displacement reaction. This led to a quantitative change in MB and a change in electrocatalytic reduction current from the electrocatalytic cycle of MB-ferricyanide. An amplified electrocatalytic reduction current was produced by adding NaClO4 to the electrocatalytic system, which substantially improved the signal response range and detection sensitivity. Ultimately, exosomal miRNA detection was achieved by recording changes in the electrocatalytic reduction current before and after miRNA addition. This electrochemical method exhibited a sensitive concentration response with a detection limit of 45 aM and selective miRNA recognition, and successfully used to detect exosomal miRNA derived from cells and serum. Additionally, this method exhibited better discrimination ability between patients with breast cancer (BC) and those people without BC (patients with benign breast disease and healthy people), providing a promising strategy for detecting and monitoring cancer biomarkers.