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A new method for the detection of Mycobacterium tuberculosis based on the CRISPR/Cas system. | LitMetric

AI Article Synopsis

  • Mycobacterium tuberculosis (MTB) is a significant public health threat, necessitating the development of efficient and low-cost detection methods to combat tuberculosis (TB) effectively.
  • Researchers created a TB detection method by combining the CRISPR system with recombinase mediated isothermal amplification (RAA), achieving higher sensitivity and specificity for identifying MTB in patient samples.
  • The new TB-CRISPR technique demonstrated a sensitivity of 88.3% and specificity of 94%, allowing for a quick diagnosis in under 1.5 hours without the need for complex equipment, which is crucial for timely TB management.

Article Abstract

Object: Mycobacterium tuberculosis (MTB) is a bacterium that can cause zoonoses by aerosol transmission. Tuberculosis (TB) caused by MTB heavily burdens world public health security. Developing efficient, specific, convenient, and inexpensive MTB assays are essential for preventing and controlling TB.

Methods: In this study, we established a specific detection method for MTB using the Clustered Regularly Interspersed Short Palindromic Repeats (CRISPR) system, combined with recombinase mediated isothermal nucleic acid amplification (RAA) to improve the sensitivity of the detection system and achieve "two-level" amplification of the detection signal. The sensitivity and specificity of RAA combined with the CRISPR/Cas system were analyzed. Using BACTEC 960 culture as the gold standard for detecting MTB, we established the TB-CRISPR technique by testing 504 samples from patients with suspected TB.

Results: MTB H37Ra could be seen as low as 3.13 CFU/mL by the CRISPR-Cas12a system targeting IS6110. With BACTEC960 culture (120 positives and 384 negatives) as the gold standard, the sensitivity of the TB-CRISPR technique was 0.883 (0.809-0.932), and the specificity was 0.940 (0.910-0.961). According to the receiver operating characteristic (ROC) curve analysis, the area under the curve (AUC) reached 0.944 (0.914-0.975) within 95% CI. The positive likelihood ratio (PLR) was 14.747 (9.870-22.035), and the negative likelihood ratio (NLR) was 0.124 (0.076-0.203). The positive predictive value (PPV) was 0.822 (0.742-0.881), and the negative predictive value (NPV) was 0.963 (0.937-0.979).

Conclusion: TB-CRISPR plays an essential role in the molecular diagnosis of TB. The whole detection time is less than 1.5 h. It is easy to operate and does not need complex instruments. It is of great significance for the rapid detection of MTB and the clinical diagnosis of TB.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568934PMC
http://dx.doi.org/10.1186/s12879-023-08656-4DOI Listing

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