Diagnostic Accuracy of Nanopore Sequencing for Detecting Mycobacterium tuberculosis and Drug-Resistant Strains: A Systematic Review and Meta-Analysis

Timothy Hudson, David Culasino Carandang, Dianne Jaula Cunanan, Gail S. Co, John David Pilapil, Juan Ignacio Garcia, Blanca I. Restrepo, Marcel Yotebieng, Jordi B. Torrelles, K. Notarte
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Abstract

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB) infection, remains a significant public health threat. The timeliness, portability, and capacity of nanopore sequencing for diagnostics can aid in early detection and drug susceptibility testing (DST), which is crucial for effective TB control. This study synthesized current evidence on the diagnostic accuracy of the nanopore sequencing technology in detecting MTB and its DST profile. A comprehensive literature search in PubMed, Scopus, MEDLINE, Cochrane, EMBASE, Web of Science, AIM, IMEMR, IMSEAR, LILACS, WPRO, HERDIN Plus, MedRxiv, and BioRxiv was performed. Quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Pooled sensitivity, specificity, predictive values (PV), diagnostic odds ratio (DOR), and area under the curve (AUC) were calculated. Thirty-two studies were included; 13 addressed MTB detection only, 15 focused on DST only, and 4 examined both MTB detection and DST. No study used Flongle or PromethION. Seven studies were eligible for meta-analysis on MTB detection and five for DST; studies for MTB detection used GridION only while those for DST profile used MinION only. Our results indicate that GridION device has high sensitivity [88.61%; 95% CI (83.81-92.12%)] and specificity [93.18%; 95% CI (85.32-96.98%)], high positive predictive value [94.71%; 95% CI (89.99-97.27%)], moderately high negative predictive value [84.33%; 95% CI (72.02-91.84%)], and excellent DOR [107.23; 95% CI (35.15-327.15)] and AUC (0.932) in detecting MTB. Based on DOR and AUC, the MinION excelled in detecting pyrazinamide and rifampicin resistance; however, it underperformed in detecting isoniazid and ethambutol resistance. Additional studies will be needed to provide more precise estimates for MinION's sensitivity in detecting drug-resistance, as well as DOR in detecting resistance to pyrazinamide, streptomycin, and ofloxacin. Studies on detecting resistance to bedaquiline, pretomanid, and linezolid are lacking.
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纳米孔测序检测结核分枝杆菌和耐药菌株的诊断准确性:系统回顾与元分析
由结核分枝杆菌(MTB)感染引起的结核病(TB)仍然是一个重大的公共卫生威胁。纳米孔测序诊断的及时性、便携性和能力有助于早期检测和药敏试验(DST),这对有效控制结核病至关重要。本研究综述了纳米孔测序技术在检测 MTB 及其 DST 特征方面的诊断准确性的现有证据。研究人员在 PubMed、Scopus、MEDLINE、Cochrane、EMBASE、Web of Science、AIM、IMEMR、IMSEAR、LILACS、WPRO、HERDIN Plus、MedRxiv 和 BioRxiv 中进行了全面的文献检索。研究质量采用诊断准确性研究质量评估-2工具进行评估。计算了汇总灵敏度、特异性、预测值 (PV)、诊断几率比 (DOR) 和曲线下面积 (AUC)。共纳入 32 项研究,其中 13 项仅涉及 MTB 检测,15 项仅关注 DST,4 项同时研究了 MTB 检测和 DST。没有研究使用 Flongle 或 PromethION。有 7 项研究符合 MTB 检测的荟萃分析条件,5 项符合 DST 的荟萃分析条件;MTB 检测研究仅使用了 GridION,而 DST 资料研究仅使用了 MinION。我们的结果表明,GridION 设备具有较高的灵敏度[88.61%;95% CI (83.81-92.12%)]和特异性[93.18%;95% CI (85.32-96.98%)],较高的阳性预测值[94.71%;95% CI (89.99-97.27%)],中高阴性预测值[84.33%;95% CI (72.02-91.84%)],在检测 MTB 方面具有极佳的 DOR [107.23;95% CI (35.15-327.15)]和 AUC (0.932)。根据 DOR 和 AUC,MinION 在检测吡嗪酰胺和利福平耐药性方面表现出色;但在检测异烟肼和乙胺丁醇耐药性方面表现不佳。还需要进行更多的研究,以便对 MinION 检测耐药性的灵敏度以及检测吡嗪酰胺、链霉素和氧氟沙星耐药性的 DOR 作出更精确的估计。目前还缺乏对贝达喹啉、普托马尼和利奈唑胺耐药性的检测研究。
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