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利用新型报告噬菌体快速检测临床分离株中一线抗结核药物的耐药性。

Rapid detection of drug resistance in clinical isolates for first-line antitubercular drugs by using a novel reporter mycobacteriophage.

作者信息

Guo Mingquan, Wang Yan, Sun Juntao, Qian Chengcheng, Lowrie Douglas B, Niu Liangfei, Wu Juan, Hu Zhidong, Fan Xiao-Yong, Ma Ruiqing

机构信息

Shanghai Public Health Clinical Center & Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China.

Department of Anesthesiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

Front Cell Infect Microbiol. 2025 Apr 10;15:1589236. doi: 10.3389/fcimb.2025.1589236. eCollection 2025.

Abstract

The emergence of drug resistance presents a major challenge for the treatment of tuberculosis (TB). Reporter phage can provide an effective method for drug susceptibility testing (DST) of (, but limited for parts of antitubercular drugs and the process of operation is usually time-consuming. Herein, we developed a new, sensitive, reporter phage with optimized method to detect drug susceptibility of clinical isolates for all first-line antitubercular drugs. The P promoter and nanoluciferase (Nluc) reporter sequences were integrated into the genome of the TM4 mycobacteriophage to generate a reporter phage, designated φFN. By optimizing concentration of , Tween 80 and drugs, we have established an efficient workflow for φFN-based DST of that provides results for four first-line antitubercular drugs within 72 hours. A total of 71 clinical isolates were tested and yielded significant relative luminescent units (RLUs), and their resistance to rifampin (RIF), isoniazid (INH), streptomycin (STR), and EMB were compared to the conventional DST by MGIT 960. The comparative sensitivities of φFN DST detection were 100%, 93.9%, 97.2%, and 81.3%, respectively; and the relative specificities were 98.1%, 97.4%, 97.1%, and 96.4%, respectively. The remaining luminescence rate (RLR) in the φFN DST assay showed correlation with minimum inhibitory concentration (MIC). The φFN DST assay provides an efficient phage-based workflow to detect drug-resistant for four first-line antitubercular drugs within 3 days.

摘要

耐药性的出现给结核病(TB)的治疗带来了重大挑战。报告噬菌体可为结核分枝杆菌的药敏试验(DST)提供一种有效方法,但对部分抗结核药物有限制,且操作过程通常耗时。在此,我们开发了一种新型、灵敏的报告噬菌体及优化方法,用于检测临床分离株对所有一线抗结核药物的药敏性。将P 启动子和纳米荧光素酶(Nluc)报告序列整合到TM4分枝杆菌噬菌体基因组中,产生一种报告噬菌体,命名为φFN。通过优化 、吐温80和药物的浓度,我们建立了基于φFN的DST高效工作流程,可在72小时内得出四种一线抗结核药物的结果。共检测了71株临床分离株,产生了显著的相对发光单位(RLU),并将它们对利福平(RIF)、异烟肼(INH)、链霉素(STR)和乙胺丁醇(EMB)的耐药性与MGIT 960的传统DST进行比较。φFN DST检测的相对敏感性分别为100%、93.9%、97.2%和81.3%;相对特异性分别为98.1%、97.4%、97.1%和96.4%。φFN DST检测中的剩余发光率(RLR)与最低抑菌浓度(MIC)相关。φFN DST检测提供了一种高效的基于噬菌体的工作流程,可在3天内检测出对四种一线抗结核药物耐药的结核分枝杆菌。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0d2/12018339/4f9fec3b4a4e/fcimb-15-1589236-g002.jpg

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