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Updated: Jul 16, 2026

Author Spotlight: Development of Simplified CRISPR-Based Tests for Rapid Detection of Infectious Diseases
Published on: August 16, 2024
Rapid Visual Detection of Mycoplasma Hominis Using an RPA-CRISPR/Cas12a Assay
Jie Chen1, Shutao Liu2, Sunyi Chen3
1College of Health Science and Environmental Engineering, Shenzhen Technology University, 3002 Lantian Road, Pingshan District, Shenzhen 518118, China.
Abstract:
Mycoplasma hominis (MH) is a prevalent opportunistic pathogen that is strongly associated with a wide range of urogenital tract infections and severe adverse pregnancy outcomes in clinical settings. Current MH detection methods, including microbial culture and qPCR, are time-consuming and rely on complex equipment, making them unsuitable for scenarios requiring rapid or simplified testing. In this study, we developed a visual readout biosensing platform by synergistically integrating recombinase polymerase amplification (RPA), CRISPR/Cas12a-mediated target nucleic acid recognition, and lateral flow biosensors for the rapid, sensitive, and specific identification of MH. The assay specifically targets the MH-specific 16S rRNA gene, achieving a limit of detection as low as 2 copies/reaction of recombinant plasmid containing the target gene with a total assay time of 60 min. Critical reaction parameters, including Cas12a-crRNA molar ratio, volume of RPA amplicon input, and Cas12a cleavage time, were systematically optimized to maximize the biosensor's response efficiency and detection reliability. The platform exhibited exceptional specificity, with no cross-reactivity observed against common co-occurring urogenital pathogens, and effectively minimized aerosol contamination risks via a rigorous decontamination workflow. Furthermore, this work represents the first documented implementation of a contamination-control protocol for an MH-specific CRISPR-LFA assay. Notably, testing results from 18 clinical samples demonstrated the high specificity of this assay, highlighting its promising potential for clinical application.
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