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Teng C, Li L, Su D, Li H, Zhao B, Xia H, Teng H, Song Y, Zheng Y, Cao X, Zheng H, Zhao Y, Ou X. Evaluation of genetic correlation with fluoroquinolones resistance in rifampicin-resistant Mycobacterium tuberculosis isolates. Heliyon 2024; 10:e31959. [PMID: 38868072 PMCID: PMC11167346 DOI: 10.1016/j.heliyon.2024.e31959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/24/2024] [Accepted: 05/24/2024] [Indexed: 06/14/2024] Open
Abstract
Objective To detect levofloxacin (LFX) and moxifloxacin (MFX) resistance among rifampicin-resistant tuberculosis (RR-TB) isolates, and predict the resistance level based on specific mutations in gyrA and gyrB genes. Methods A total of 686 RR-TB isolates were collected from Chinese Drug Resistance Surveillance Program from 2013 to 2020. The minimum inhibitory concentrations (MICs) of 12 anti-TB drugs were acquired using the broth microdilution method, followed by whole genome sequencing (WGS) analysis. Results Among the 686 RR isolates, the most prevalent resistance was to isoniazid (80.5 %) and ethambutol (28.4 %), followed by LFX (26.1 %) and MFX (21.9 %). The resistance rate of LFX (26.1%-99.4 %) was higher than that of MFX (21.9%-83.3 %) across various drug resistance patterns. Of the 180 fluoroquinolones (FQs) resistant isolates, 168 (93.3 %) had mutations in quinolone-resistant determining regions (QRDRs) with 21 mutation types, and Asp94Gly (32.7 %, 55/168) was the predominant mutation. Isolates with mutations in Asp94Asn and Asp94Gly were associated with high levels of resistance to LFX and MFX. Using broth microdilution method as gold standard, the sensitivities of WGS for LFX and MFX were 93.3 % and 98.0 %, and the specificities were 98.6 % and 95.0 %, respectively. Conclusion The resistance rate of LFX was higher than that of MFX among various drug resistance patterns in RR-TB isolates. The gyrA Asp94Gly was the predominant mutation type underlying FQs resistance. However, no significant difference was observed between mutation patterns in gyrA gene and resistance level of FQs.
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Affiliation(s)
- Chong Teng
- Department of Tuberculosis, Beijing Dongcheng District Center for Disease Control and Prevention, Beijing, 100050, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
- Chinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Ling Li
- Department of Clinical Laboratory, Ya'an People's Hospital, Sichuan, 625000, China
| | - Dan Su
- Department of Pathology, Capital Medical University Affiliated Beijing Chest Hospital, Beijing, 101149, China
| | - Hui Li
- Department of Tuberculosis, Beijing Dongcheng District Center for Disease Control and Prevention, Beijing, 100050, China
| | - Bing Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Hui Xia
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Hui Teng
- Centre of Health Management, Hunan Prevention and Treatment Institute for Occupational Diseases, Hunan, 410007, China
| | - Yuanyuan Song
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yang Zheng
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Xiaolong Cao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Huiwen Zheng
- Laboratory of Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Center for Children's Health, Beijing, 100045, China
| | - Yanlin Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Xichao Ou
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
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Hu Y, Chi Y, Feng X, Yu F, Li H, Shang Y, Pan J, Pang Y. Comparison of the Diagnostic Performance of MeltPro and Next-Generation Sequencing in Determining Fluoroquinolone Resistance in Multidrug-Resistant Tuberculosis Isolates. J Mol Diagn 2023; 25:342-351. [PMID: 37208048 DOI: 10.1016/j.jmoldx.2023.02.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 12/20/2022] [Accepted: 02/09/2023] [Indexed: 05/21/2023] Open
Abstract
This study systematically investigated the performance of MeltPro and next-generation sequencing in the diagnosis of fluoroquinolone (FQ) resistance among multidrug-resistant tuberculosis patients and explored the relationship between nucleotide alteration and the level of phenotypic susceptibility to FQs. From March 2019 to June 2020, a feasibility and validation study with both MeltPro and next-generation sequencing was performed in 126 patients with multidrug-resistant tuberculosis. Using phenotypic drug susceptibility testing as the gold standard, 95.3% (82 of 86) of ofloxacin-resistant isolates were identified correctly by MeltPro. In addition, whole-genome sequencing was able to detect 83 phenotypically ofloxacin-resistant isolates. The isolates with an individual gyrB mutation outside the quinolone resistance-determining region (QRDR) had minimum inhibitory concentrations (MICs) of ≤2 μg/mL. Despite showing low MICs close to the breakpoint for isolates carrying only gyrA_Ala90Val, the combined mutation gyrB_Asp461Asn caused the ofloxacin MIC to be eight higher than that obtained in Mycobacterium tuberculosis (MTB) isolates with the Ala90Val mutation alone (median, 32 μg/mL; P = 0.038). Heteroresistance was observed in 12 of 88 isolates harboring mutations in the QRDRs. In conclusion, our data show that MeltPro and the whole-genome sequencing assay correctly can identify FQ resistance caused by mutations in the gyrA QRDR. The combined gyrB_Asp461Asn mutation may significantly decrease in vitro FQ susceptibility of MTB isolates with low-level-resistance-associated gyrA mutations.
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Affiliation(s)
- Yan Hu
- Tuberculosis Reference Laboratory, Chongqing Municipal Institute of Tuberculosis, Chongqing, China
| | - Yuqing Chi
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Xin Feng
- Tuberculosis Reference Laboratory, Chongqing Municipal Institute of Tuberculosis, Chongqing, China
| | - Fengping Yu
- Tuberculosis Reference Laboratory, Chongqing Municipal Institute of Tuberculosis, Chongqing, China
| | - Haoran Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Junhua Pan
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
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Guo S, Chongsuvivatwong V, Lei S. Comparison on Major Gene Mutations Related to Rifampicin and Isoniazid Resistance between Beijing and Non-Beijing Strains of Mycobacterium tuberculosis: A Systematic Review and Bayesian Meta-Analysis. Genes (Basel) 2022; 13:genes13101849. [PMID: 36292734 PMCID: PMC9601453 DOI: 10.3390/genes13101849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/07/2022] [Accepted: 10/08/2022] [Indexed: 11/16/2022] Open
Abstract
Objective: The Beijing strain of Mycobacterium tuberculosis (MTB) is controversially presented as the predominant genotype and is more drug resistant to rifampicin and isoniazid compared to the non-Beijing strain. We aimed to compare the major gene mutations related to rifampicin and isoniazid drug resistance between Beijing and non-Beijing genotypes, and to extract the best evidence using the evidence-based methods for improving the service of TB control programs based on genetics of MTB. Method: Literature was searched in Google Scholar, PubMed and CNKI Database. Data analysis was conducted in R software. The conventional and Bayesian random-effects models were employed for meta-analysis, combining the examinations of publication bias and sensitivity. Results: Of the 8785 strains in the pooled studies, 5225 were identified as Beijing strains and 3560 as non-Beijing strains. The maximum and minimum strain sizes were 876 and 55, respectively. The mutations prevalence of rpoB, katG, inhA and oxyR-ahpC in Beijing strains was 52.40% (2738/5225), 57.88% (2781/4805), 12.75% (454/3562) and 6.26% (108/1724), respectively, and that in non-Beijing strains was 26.12% (930/3560), 28.65% (834/2911), 10.67% (157/1472) and 7.21% (33/458), separately. The pooled posterior value of OR for the mutations of rpoB was 2.72 ((95% confidence interval (CI): 1.90, 3.94) times higher in Beijing than in non-Beijing strains. That value for katG was 3.22 (95% CI: 2.12, 4.90) times. The estimate for inhA was 1.41 (95% CI: 0.97, 2.08) times higher in the non-Beijing than in Beijing strains. That for oxyR-ahpC was 1.46 (95% CI: 0.87, 2.48) times. The principal patterns of the variants for the mutations of the four genes were rpoB S531L, katG S315T, inhA-15C > T and oxyR-ahpC intergenic region. Conclusion: The mutations in rpoB and katG genes in Beijing are significantly more common than that in non-Beijing strains of MTB. We do not have sufficient evidence to support that the prevalence of mutations of inhA and oxyR-ahpC is higher in non-Beijing than in Beijing strains, which provides a reference basis for clinical medication selection.
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Affiliation(s)
- Shengqiong Guo
- Guizhou Provincial Center for Disease Prevention and Control, Guiyang 550004, China
- Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai 90110, Thailand
- Correspondence:
| | | | - Shiguang Lei
- Guizhou Provincial Center for Disease Prevention and Control, Guiyang 550004, China
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Acosta F, Vega S, Goodridge A. Re: "Genotyping and Molecular Characterization of Fluoroquinolone's Resistance Among Multidrug-Resistant Mycobacterium tuberculosis in Southwest of China" by Hu et al. Microb Drug Resist 2021; 28:498-499. [PMID: 34918969 DOI: 10.1089/mdr.2021.0289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Fermin Acosta
- Tuberculosis Biomarker Research Unit, Centro de Biología Celular y Molecular de las Enfermedades (CBCME), Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT-AIP), Ciudad del Saber, Panamá
| | - Silvio Vega
- Complejo Hospitalario Metropolitano Dr. Arnulfo Arias Madrid, Caja de Seguro Social, Ciudad de Panamá, Panama
| | - Amador Goodridge
- Tuberculosis Biomarker Research Unit, Centro de Biología Celular y Molecular de las Enfermedades (CBCME), Instituto de Investigaciones Científicas y Servicios de Alta Tecnología (INDICASAT-AIP), Ciudad del Saber, Panamá
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