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基于CRISPR-Cas系统的结核分枝杆菌检测研究进展

Translated title of the contribution: Advances in CRISPR-Cas system-based detection of Mycobacterium tuberculosis
  • Huang Zhenyang
  • , Li Wenjan
  • , Sun Yamong
  • , Li Hao
  • Fujian Agriculture and Forestry University
  • Academy of Military Medical Science China

Research output: Contribution to journalArticlepeer-review

Abstract

Tuberculosis (TR). caused by Mycobacterium tuberculosis (MTR). poses a severe threat to global public health security. However, traditional MTR 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 MTR 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 MTR detection and the precise prevention and control of TR.

Translated title of the contributionAdvances in CRISPR-Cas system-based detection of Mycobacterium tuberculosis
Original languageChinese (Traditional)
Pages (from-to)707-715
Number of pages9
JournalChinese Journal of Antituberculosis
Volume48
Issue number5
DOIs
StatePublished - 10 May 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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