ORIGINAL RESEARCH article
Front. Cell. Infect. Microbiol.
Sec. Virus and Host
Volume 15 - 2025 | doi: 10.3389/fcimb.2025.1539240
A comparative study using Xpert MTB/RIF and culture methods evaluates MassARRAY technology for rapid detection of Mycobacterium tuberculosis and drug resistance
Provisionally accepted- 1Henan Provincial Chest Hospital, Zhengzhou, Henan Province, China
- 2Children’s Hospital Affiliated of Zhengzhou University, Zhengzhou, Henan Province, China
- 3School of Life Sciences, Jianghan University, Wuhan, China
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Tuberculosis (TB) remains a major global health threat, with the urgent need for rapid and accurate diagnostic methods to improve control and treatment outcomes. This study evaluates the performance of MassARRAY technology for detecting Mycobacterium tuberculosis (MTB) and identifying drug resistance, compared to traditional culture methods and Xpert MTB/RIF. From July 2021 to February 2024, bronchoalveolar lavage fluid (BALF) samples from 289 suspected pulmonary tuberculosis patients at Henan Provincial Chest Hospital, China, were tested using MassARRAY, Xpert MTB/RIF, and conventional culturing techniques. The performance of each method was assessed for MTB detection, and the ability of MassARRAY to identify drug resistance was compared with standard drug susceptibility testing (DST). MassARRAY demonstrated a sensitivity of 96.5% and a specificity of 34.6% for MTB detection, outperforming the Xpert MTB/RIF assay in sensitivity (94.7%) but showing lower specificity. In detecting rifampicin resistance, MassARRAY achieved concordance rates of 83.93% with Xpert MTB/RIF and 72.73% with DST. Furthermore, MassARRAY successfully identified key genetic mutations associated with drug resistance, such as rpoB 531 for rifampicin and katG 315 for isoniazid. MassARRAY demonstrated high concordance with DST for several drugs, including isoniazid, kanamycin, and streptomycin, but exhibited limitations in detecting resistance to pyrazinamide, clofazimine, cycloserine, and linezolid. Overall, MassARRAY provides a rapid, costeffective, and high-throughput diagnostic platform for MTB and drug resistance, particularly for firstline anti-tuberculosis drugs. While limitations in specificity and resistance detection for certain second-
Keywords: Tuberculosis, Mycobacterium tuberculosis, MassARRAY, Drug Resistance, Molecular diagnosis
Received: 04 Dec 2024; Accepted: 18 Jun 2025.
Copyright: © 2025 Wu, Ge, Zheng, Ma, Liang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ruixia Liang, Henan Provincial Chest Hospital, Zhengzhou, Henan Province, China
Baolong Zhang, School of Life Sciences, Jianghan University, Wuhan, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.