Issue 45, 2025

Catalytic hairpin assembly cascade-initiated proximity with self-priming amplification for CRISPR-enhanced ultrasensitive detection of coronary heart disease-associated microRNAs

Abstract

Accurate detection of specific microRNAs (miRNAs) is essential for the early diagnosis of coronary heart disease. Emerging technologies, including functional nuclease-mediated target amplification and DNA nanotechnology, offer substantial potential for precise miRNA identification in clinical diagnostics. This study presents a highly sensitive and specific biosensing platform that integrates catalytic hairpin assembly (CHA) cascade-initiated proximity based self-priming amplification and CRISPR/Cas12a-mediated signal generation for miRNA quantification. Target miRNA initiates the CHA cascade, yielding a toehold-bearing CHA product. This toehold subsequently enables “Variable primer” extension, transcribing double-stranded DNA (dsDNA). The resultant dsDNA activates CRISPR/Cas12a, triggering collateral cleavage and signal amplification. Leveraging this dual-amplification strategy (CHA and CRISPR/Cas12a), the assay achieves a sub-femtomolar detection limit (0.36 fM). Dual-sequence verification, including CHA and CRISPR/Cas12a recognition, ensures exceptional specificity. Validation using spiked serum samples confirmed precise miRNA quantification. Collectively, this biosensor demonstrates significant promise for clinical molecular diagnostics.

Graphical abstract: Catalytic hairpin assembly cascade-initiated proximity with self-priming amplification for CRISPR-enhanced ultrasensitive detection of coronary heart disease-associated microRNAs

Supplementary files

Article information

Article type
Paper
Submitted
01 Sep 2025
Accepted
26 Oct 2025
First published
27 Oct 2025

Anal. Methods, 2025,17, 9254-9261

Catalytic hairpin assembly cascade-initiated proximity with self-priming amplification for CRISPR-enhanced ultrasensitive detection of coronary heart disease-associated microRNAs

W. Chen, Y. He, J. Yuan and F. Yang, Anal. Methods, 2025, 17, 9254 DOI: 10.1039/D5AY01456E

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