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Chinese Journal of Antituberculosis ›› 2023, Vol. 45 ›› Issue (4): 406-411.doi: 10.19982/j.issn.1000-6621.20220418

• Original Articles • Previous Articles     Next Articles

Application value of multicolor melting curve analysis in detection of pre-extensive drug-resistant pulmonary tuberculosis

Zhu Yumei1, Xia Zihan2, Li Jinli1, He Huishan1, Wang Feng1()   

  1. 1Pathogen Laboratory, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
    2Engineering 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 361102, China
  • Received:2022-10-27 Online:2023-04-10 Published:2023-03-31
  • Contact: Wang Feng E-mail:biowangfeng@163.com
  • Supported by:
    Shenzhen Fundamental Research Program(JCYJ20180306170526435);Xiamen Major Science and Technology Project(3502Z20191007)

Abstract:

Objective: To evaluate the application value of multicolor melting curve analysis (MMCA) in detection of pre-extensive drug-resistant pulmonary tuberculosis (pre-XDR-PTB). Methods: A total of 129 sputum samples from 129 patients with positive culture and initially identified as multidrug-/rifampicin-resistant pulmonary tuberculosis (MDR/RR-PTB) were collected. All the patients were registered in the Shenzhen Center for Chronic Disease Control and district-level tuberculosis prevention and control institutions from January 2019 to December 2020. The samples were detected by drug susceptibility tests (DST) of three fluoroquinolones (ofloxacin (Ofx), levofloxacin (Lfx), and moxifloxacin (Mfx)) and MMCA. Sanger sequencing was performed as the third-party verification of the results. Using DST as the gold standard, the efficacy of MMCA in detecting fluoroquinolone resistance in patients with MDR/RR-PTB was analyzed. Results: Using DST as the gold standard, the sensitivity, specificity, and Kappa values of the MMCA method for detecting fluoroquinolone resistance in MDR/RR-PTB patients’ samples were 87.0% (40/46), 94.0% (78/83), and 0.813, respectively, for Ofx; 97.3% (36/37), 90.2% (83/92), and 0.822, respectively, for Lfx; 92.3% (24/26), 79.6% (82/103), and 0.565, respectively, for Mfx. If combining the DST results of three fluoroquinolones and defining fluoroquinolone resistance as resistance to any one of the three fluoroquinolones, the sensitivity, specificity, and Kappa value of the MMCA method for detecting fluoroquinolone resistance in MDR/RR-PTB patients’ samples were 85.1% (40/47), 93.9% (77/82), and 0.797, respectively. Sanger sequencing was performed on 52 suspected of drug resistance samples. Among these samples, 96.2% (50/52) had the same sequencing results as MMCA, and 3.8% (2/52) of the samples had mutations in the non-detection region of MMCA. Conclusion: The results of MMCA were consistent with those of DST, and thus MMCA could be used to detect pre-XDR-PTB.

Key words: Mycobacterium tuberculosis, Drug resistance, multiple, bacterial, Microbial sensitivity tests, Molecular diagnostic techniques, Diagnosis, differential

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