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Chinese Journal of Antituberculosis ›› 2026, Vol. 48 ›› Issue (5): 707-715.doi: 10.19982/j.issn.1000-6621.20250449

• Review Articles • Previous Articles     Next Articles

Advances in CRISPR-Cas system-based detection of Mycobacterium tuberculosis

Huang Zhenyang1,2, Li Wenjun2, Sun Yansong2(), Li Hao2()   

  1. 1College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    2State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China
  • Received:2025-11-14 Online:2026-05-10 Published:2026-04-27
  • Contact: Sun Yansong,Li Hao E-mail:sunys6443@126.com;lihao88663239@126.com
  • Supported by:
    Capital’s Funds for Health Improvement and Research(grant number CFH2024-2-5093)

Abstract:

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), poses a severe threat to global public health security. However, traditional MTB detection methods, such as smear microscopy and bacterial culture, suffer from insufficient sensitivity, prolonged turnaround times, and delayed drug resistance detection, which have constrained the achievement of the World Health Organization (WHO)’s “End TB” strategy. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) technology, characterized by high specificity and rapidity, offers transformative potential for MTB testing. This review systematically outlines the latest research progress of CRISPR in MTB point-of-care testing, drug resistance gene detection, and multi-target combined testing. It highlights key challenges in current research, including complex sample pretreatment, poor reagent stability, and inadequate adaptability to primary healthcare settings. Future efforts should focus on simplifying and integrating sample pretreatment and optimizing reagent lyophilization techniques, aiming to provide references for the clinical translation of CRISPR-based MTB detection and the precise prevention and control of TB.

Key words: Mycobacterium tuberculosis, CRISPR-Cas system, Diagnose technology, Molecular diagnostic techniques

CLC Number: