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在熔解阵列反应中对氟喹诺酮耐药性变异体的鉴定和定量分析。

Identification and quantification of variants in fluoroquinolone-resistant in a MeltArray reaction.

作者信息

Tu Chunxia, Su Biyi, Xiong Yunfan, Xia Zihan, Xiang Chunlin, Tan Yaoju, Xu Ye, Li Qingge

机构信息

Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, China.

Guangzhou Chest Hospital, Guangzhou, China.

出版信息

J Clin Microbiol. 2025 Jul 9;63(7):e0014625. doi: 10.1128/jcm.00146-25. Epub 2025 Jun 3.

Abstract

Fluoroquinolones (FQs) resistance in (MTB), primarily driven by mutations in the quinolone resistance-determining region (QRDR) of , poses a major concern in treating for multidrug-resistant tuberculosis (MDR-TB). These QRDR mutations are known to confer varying levels of resistance, leading to differences in treatment outcomes. Here, we introduced the MeltArray MTB/FQs assay, a multiplex PCR method that detected 11 -QRDR mutations and quantified their fractions via a polynomial regression algorithm-based formula, enabling mutation identification and quantification within 3 h in one reaction. This assay, with a limit of detection (LOD) of 50 copies/reaction, could identify mixtures containing 5% mutant gDNA across 50 to 50,000 copies/reaction. Clinical evaluation of 442 culture samples displayed 95.23% sensitivity and 99.32% specificity compared with phenotypic antimicrobial susceptibility testing (pAST). Evaluation of 121 paired sputum-culture samples revealed sensitivities of 90.32% in sputum samples and 95.24% in culture samples, both with specificities of 100%, when compared with pAST. Further evaluation of 285 sputum samples showed 93.75% positive percent agreement (PPA) and 98.10% negative percent agreement (NPA) in comparison with the MeltPro MTB/FQs kit (Zeesan Biotech, China). All mutant samples identified by MeltArray MTB/FQs but classified as susceptible by pAST or as wild type by MeltPro MTB/FQs were confirmed through Sanger sequencing and droplet digital PCR (ddPCR). The formula for predicting mutation fraction (MUT%) showed accuracy rates of 88.00%, 88.89%, and 83.33% in the training, validation, and test data sets, respectively, when compared with ddPCR results. Overall, MeltArray MTB/FQs assay offers an upgraded alternative for routine FQs resistance monitoring.IMPORTANCERising FQs resistance has driven the spread of pre-extensively drug-resistant tuberculosis (pre-XDR-TB), challenging global tuberculosis (TB) control efforts. Conventional molecular assays for FQs resistance often cannot distinguish between low-level and high-level resistance mutations or detect low-fraction heteroresistant populations. In this study, we established a MeltArray MTB/FQs assay that can identify all the 11 critical mutations in the -QRDR with a LOD of 50 copies/reaction, enabling direct, culture-independent analysis of sputum samples. By using an algorithm to quantify mutations at levels as low as 5% in mixtures, MeltArray achieved both mutation identification and quantification within 3 h in a reaction, thus providing a powerful tool for early detection and precise management of pre-XDR-TB.

摘要

结核分枝杆菌(MTB)对氟喹诺酮类药物(FQs)的耐药性主要由gyrA喹诺酮耐药决定区(QRDR)的突变驱动,这在耐多药结核病(MDR-TB)的治疗中是一个主要问题。已知这些QRDR突变会导致不同程度的耐药性,从而导致治疗结果的差异。在此,我们介绍了MeltArray MTB/FQs检测方法,这是一种多重PCR方法,可检测11个gyrA -QRDR突变,并通过基于多项式回归算法的公式对其比例进行定量,能够在一次反应中3小时内完成突变鉴定和定量。该检测方法的检测限(LOD)为50拷贝/反应,可识别50至50,000拷贝/反应范围内含有5%突变体gDNA的混合物。与表型抗菌药物敏感性试验(pAST)相比,对442份培养样本的临床评估显示敏感性为95.23%,特异性为99.32%。对121对痰培养样本的评估显示,与pAST相比,痰样本的敏感性为90.32%,培养样本的敏感性为95.24%,两者的特异性均为100%。对285份痰样本的进一步评估显示,与MeltPro MTB/FQs试剂盒(中国泽山生物科技公司)相比,阳性百分比一致性(PPA)为93.75%,阴性百分比一致性(NPA)为98.10%。所有通过MeltArray MTB/FQs鉴定为突变体但pAST分类为敏感或MeltPro MTB/FQs分类为野生型的样本均通过Sanger测序和数字液滴PCR(ddPCR)得到确认。与ddPCR结果相比,预测突变比例(MUT%)的公式在训练、验证和测试数据集中的准确率分别为88.00%、88.89%和83.33%。总体而言,MeltArray MTB/FQs检测方法为常规FQs耐药性监测提供了一种升级的替代方法。重要性氟喹诺酮类药物耐药性的上升推动了广泛耐药结核病(pre-XDR-TB)的传播,对全球结核病(TB)控制工作构成挑战。传统的氟喹诺酮类药物耐药性分子检测方法通常无法区分低水平和高水平耐药突变,也无法检测低比例异质耐药群体。在本研究中,我们建立了一种MeltArray MTB/FQs检测方法,该方法能够以50拷贝/反应的LOD识别gyrA -QRDR中的所有11个关键突变,从而能够对痰样本进行直接的、无需培养的分析。通过使用一种算法对混合物中低至5%水平的突变进行定量,MeltArray在一次反应中3小时内实现了突变鉴定和定量,从而为pre-XDR-TB的早期检测和精确管理提供了一个强大的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ea/12239727/9929896b90cb/jcm.00146-25.f001.jpg

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