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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.
We developed a novel biosensing method for detecting microRNAs (miRNAs) linked to postoperative delirium (POD). This ultrasensitive assay offers high accuracy, paving the way for improved diagnostics.
Area of Science:
- Biochemistry
- Molecular Biology
- Biotechnology
Background:
- Postoperative delirium (POD) is a significant complication requiring sensitive biomarker detection.
- Circulating microRNAs (miRNAs) are potential biomarkers for POD.
- Existing amplification methods struggle with both sensitivity and specificity.
Purpose of the Study:
- To develop an ultrasensitive and specific miRNA detection assay for POD biomarkers.
- To integrate multiple amplification techniques for enhanced detection fidelity.
- To establish a versatile platform for nucleic acid detection in diagnostics.
Main Methods:
- A cascade amplification strategy combining catalytic hairpin assembly (CHA), split DNAzyme cleavage, T7 RNA polymerase transcription, and CRISPR-Cas12a trans-cleavage.
- A dual-recognition mechanism for enhanced specificity.
- Validation in spiked human serum and comparison with RT-qPCR.
Main Results:
- Achieved ultrasensitive detection limit of 0.52 fM for miRNA-193 with a wide linear range (1 fM to 100 pM).
- Demonstrated high specificity, discriminating single-base mismatches.
- Showed robust performance in human serum with high recovery rates (97.3-107.2%) and close correlation with RT-qPCR.
Conclusions:
- The developed biosensing platform offers a promising tool for POD-related miRNA analysis.
- The modular framework is adaptable for detecting diverse nucleic acid targets.
- This technology supports advancements in point-of-care diagnostics.
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