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Updated: Jun 28, 2026

Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR
Published on: January 22, 2014
Split-crRNA Transcription Based Dual-Recognition Cascade Amplification Assay for Sensitive and Accurate Postoperative
Lihua Wang1, Huihui Li1, Kai Wang1
1Department of Anesthesiology and Perioperative Medicine, Xinxiang Central Hospital (The Fourth Clinical College of Henan Medical University), Xinxiang City, Henan Province, 453000, China.
Abstract:
Postoperative delirium (POD) represents a serious neuropsychiatric complication, underscoring the urgent need for sensitive and specific detection of circulating microRNAs (miRNAs) as potential biomarkers. Conventional isothermal amplification methods, however, often face a trade-off between sensitivity and specificity. Herein, we report a cascade amplification strategy that integrates catalytic hairpin assembly (CHA), split DNAzyme cleavage, T7 RNA polymerase-mediated transcription, and CRISPR-Cas12a trans-cleavage to achieve ultrasensitive and accurate miRNA detection. The design is centered on a dual-recognition mechanism: the same target miRNA molecule first initiates the CHA cascade to reassemble an active split DNAzyme, and subsequently acts as the spacer RNA to reconstitute a functional Cas12a/crRNA complex. This two-step, sequence-specific verification substantially enhances detection fidelity by minimizing off-target binding. Through multistage amplification combining CHA, DNAzyme catalysis, transcriptional amplification, and Cas12a-mediated trans-cleavage, the assay achieves exceptional sensitivity, with a detection limit as low as 0.52 fM for miRNA-193 and a wide linear range from 1 fM to 100 pM. It demonstrates high specificity by effectively discriminating single-base mismatches, and performs robustly in spiked human serum, yielding recovery rates of 97.3-107.2%. Moreover, results correlate closely with RT-qPCR, confirming reliability in complex matrices. This work presents a versatile and robust biosensing platform that not only offers a promising tool for POD-related miRNA analysis, but also establishes a modular framework adaptable for detecting diverse nucleic acid targets in point-of-care diagnostics.
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