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An Isothermal Method for Sensitive Detection of Mycobacterium tuberculosis Complex Using Clustered Regularly Interspaced Short Palindromic Repeats/Cas12a Cis and Trans Cleavage

https://doi.org/10.1016/j.jmoldx.2020.04.212Get rights and content
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Tuberculosis is one of the most serious infectious diseases, resulting in death worldwide. Traditional detection methods are not enough to meet the clinical requirements of rapid diagnosis, high specificity, and high sensitivity. Fast, sensitive, and accurate detection of Mycobacterium tuberculosis (MTB) is urgently needed to treat and control tuberculosis disease. Clustered regularly interspaced short palindromic repeats (CRISPR)–associated proteins (Cas12a) exhibit strong nonspecific degradation ability of exogenous single-strand nucleic acids (trans cleavage) after specific recognition of target sequence. We purified Cas12a protein and selected a proper guide RNA based on conserved sequences of MTB from designed guide RNA library. Then, we proposed a novel detection method based on recombinase polymerase amplification and CRISPR/Cas12a nuclease system for specific and sensitive detection of MTB DNA. The assay, based on fluorescence detection, showed 4.48 fmol/L of limit of detection and good linear correlation of concentration with fluorescence value (R2 = 0.9775). It also showed good performance in distinguishing other bacteria. Furthermore, its clinical performance was evaluated by 193 samples and showed sensitivity of 99.29% (139/140) and specificity of 100% (53/53) at 99% CI, compared with culture method. Taken together, the CRISPR/Cas12a system showed good specificity, excellent sensitivity, and excellent accuracy for MTB detection, and it meets requirements of MTB detection in clinical samples and has great potential for clinical translation.

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Supported by National Science and Technology Major Project of China grant 2018ZX10302205 (X.L.), National Natural Science Foundation of China grant 21605021 (X.Z.), Scientific Foundation of Fujian Health Department grant 2019-1-87 (H.X.), and Scientific Foundation of Fuzhou Science and Technology Department grant 2019-S-90 (H.X.).

Disclosures: None declared.