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Li S, Tan Y, Deng Y, Bai G, Huang M, Shang Y, Wang Y, Xue Z, Zhang X, Wang W, Pan J, Pang Y. The emerging threat of fluroquinolone-, bedaquiline-, and linezolid-resistant Mycobacterium tuberculosis in China: Observations on surveillance data. J Infect Public Health 2024; 17:137-142. [PMID: 38000314 DOI: 10.1016/j.jiph.2023.11.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 11/08/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Drug-resistant tuberculosis (TB), especially multidrug-resistant tuberculosis (MDR-TB), constitutes a major obstacle to fulfill end TB strategy globally. Although fluoroquinolones (FQs), linezolid (LZD) and bedaquiline (BDQ) were classified as Group A drugs for MDR-TB treatment, our knowledge of the prevalence of TB which were resistant to Group A drugs in China is quite limited. METHODS In this study, we conducted a prospective multicenter surveillance study in China to determine the proportion of TB patients that were resistant to Group A drugs. A total of 1877 TB patients were enrolled from 2022 at four TB specialized hospitals. The drug susceptibility of isolated strains was conducted using the MGIT 960 system and the molecular mechanisms conferring drug resistance were investigated by Sanger sequencing. RESULTS 12.9% of isolates were resistant to levofloxacin (LFX), 13.2% were resistant to moxifloxacin (MOX), 0.2% were resistant to bedaquiline (BDQ), and 0.8% were resistant to linezolid (LZD). Totally, 14.0% and 0.4% were classified as multidrug resistant- (MDR-) and extensively drug resistant- (XDR-) TB. The drug resistance was more common in retreated TB cases compared to new cases. In addition, 70.0% of fluoroquinolone (FQ)-resistant isolates harbored mutations in the gyrA and gyrB gene. By contrast, the common drug-resistant mutations were only found in 50% BDQ-resistant and 20% LZD-resistant isolates. CONCLUSIONS Our data demonstrate that approximate half of MDR -TB patients are resistant to fluoroquinolones, with extremely low prevalence of initial BDQ and LZD resistance. Findings from this study provide important implications for the current management of MDR-TB patients.
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Affiliation(s)
- Shanshan Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Yaoju Tan
- Department of Clinical Laboratory, Guangzhou Chest Hospital, Guangzhou, PR China
| | - Yufeng Deng
- Katharine Hsu International Research Center of Human Infectious Diseases, Shandong Public Health Clinical Center Affiliated to Shandong University, Jinan, PR China
| | - Guanghong Bai
- Department of Clinical Laboratory, Shaanxi Provincial Tuberculosis Institute, Xi'an, PR China
| | - Mingxiang Huang
- Department of Clinical Laboratory, Fuzhou Pulmonary Hospital and Fujian Medical University Clinical Teaching Hospital, Fuzhou, PR China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Yufeng Wang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Zhongtan Xue
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Xuxia Zhang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Wei Wang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China
| | - Junhua Pan
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Capital Medical University, Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, PR China.
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Berida T, McKee SR, Chatterjee S, Manning DL, Li W, Pandey P, Tripathi SK, Mreyoud Y, Smirnov A, Doerksen RJ, Jackson M, Ducho C, Stallings CL, Roy S. Discovery, Synthesis, and Optimization of 1,2,4-Triazolyl Pyridines Targeting Mycobacterium tuberculosis. ACS Infect Dis 2023; 9:2282-2298. [PMID: 37788674 PMCID: PMC10807233 DOI: 10.1021/acsinfecdis.3c00341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
The rise in multidrug resistant tuberculosis cases underscores the urgent need to develop new treatment strategies for tuberculosis. Herein, we report the discovery and synthesis of a new series of compounds containing a 3-thio-1,2,4-triazole moiety that show inhibition of Mycobacterium tuberculosis (Mtb) growth and survival. Structure-activity relationship studies led us to identify several potent analogs displaying low micromolar to nanomolar inhibitory activity, specifically against Mtb. The potent analogs demonstrated no cytotoxicity in mammalian cells at over 100 times the effective concentration required in Mtb and were bactericidal against Mtb during infection of macrophages. In the exploratory ADME investigations, we observed suboptimal ADME characteristics, which prompted us to identify potential metabolic liabilities for further optimization. Our preliminary investigations into the mechanism of action suggest that this series is not engaging the promiscuous targets that arise from many phenotypic screens. We selected for resistant mutants with the nanomolar potent nitro-containing compound 20 and identified resistant isolates with mutations in genes required for coenzyme F420 biosynthesis and the nitroreductase Ddn. This suggests that the aromatic nitro-1,2,4-triazolyl pyridines are activated by F420-dependent Ddn activity, similar to the nitro-containing TB drug pretomanid. We were able to circumvent the requirement for F420-dependent Ddn activity using compounds that contained non-nitro groups, identifying a key feature to be modified to avoid this predominant resistance mechanism. These studies provide the foundation for the development of a new class of 1,2,4-triazole compounds for the treatment of tuberculosis.
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Affiliation(s)
- Tomayo Berida
- Department of BioMolecular Sciences, University of Mississippi, University, Mississippi 38677, United States
| | - Samuel R McKee
- Department of Molecular Microbiology, Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Shamba Chatterjee
- Department of BioMolecular Sciences, University of Mississippi, University, Mississippi 38677, United States
| | - Destinee L Manning
- Department of BioMolecular Sciences, University of Mississippi, University, Mississippi 38677, United States
| | - Wei Li
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology, and Pathology, Colorado State University, 1682 Campus Delivery, Fort Collins, Colorado 80523, United States
| | - Pankaj Pandey
- National Center for Natural Products Research, University of Mississippi, University, Mississippi 38677, United States
| | - Siddharth Kaushal Tripathi
- National Center for Natural Products Research, University of Mississippi, University, Mississippi 38677, United States
| | - Yassin Mreyoud
- Department of Molecular Microbiology, Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Asya Smirnov
- Department of Molecular Microbiology, Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Robert J Doerksen
- Department of BioMolecular Sciences, University of Mississippi, University, Mississippi 38677, United States
| | - Mary Jackson
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology, and Pathology, Colorado State University, 1682 Campus Delivery, Fort Collins, Colorado 80523, United States
| | - Christian Ducho
- Department of Pharmacy, Pharmaceutical and Medicinal Chemistry, Saarland University, Saarbrücken 66123, Germany
| | - Christina L Stallings
- Department of Molecular Microbiology, Center for Women's Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri 63110, United States
| | - Sudeshna Roy
- Department of BioMolecular Sciences, University of Mississippi, University, Mississippi 38677, United States
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Liu ZB, Cheng LP, Pan HQ, Wu XC, Lu FH, Cao J, Wang L, Wei W, Chen HY, Sha W, Sun Q. Performance of the MeltPro TB assay as initial test for diagnosis of pulmonary tuberculosis with drug-resistance detection. Mol Med 2023; 29:153. [PMID: 37936093 PMCID: PMC10629162 DOI: 10.1186/s10020-023-00743-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/18/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND The MeltPro TB assay (MeltPro) is a molecular rapid diagnostic test designed for detecting resistance to antituberculosis drugs. However, the performance of MeltPro as an initial diagnostic test for simultaneously detecting the presence of Mycobacterium tuberculosis (MTB) and drug resistance has not been evaluated. This study aims to assess the performance of MeltPro as initial diagnostic test for simultaneous detection of MTB and drug resistance in clinical samples from patients with presumptive pulmonary tuberculosis (PTB). METHODS A retrospective analysis was conducted on 1283 patients with presumptive PTB from two clinical centers, out of which 875 were diagnosed with PTB. The diagnostic accuracy of MeltPro, Xpert MTB/RIF (Xpert), and MGIT 960 for PTB detection was evaluated. Rifampicin (RIF), isoniazid (INH), ethambutol (EMB), streptomycin (STR), and fluoroquinolone (FQ) resistance were detected using MeltPro, with Xpert and/or the broth microdilution plate method (MYCOTB) results as references. RESULTS For the diagnosis of PTB, MeltPro showed a sensitivity of 69.0%, which was similar to Xpert (72.7%; P > 0.05) and higher than MGIT (58.1%; P < 0.001). The specificity of MeltPro was 97.1%, similar to Xpert (98.0%; P > 0.05). In smear-negative patients, MeltPro's sensitivity was 50.9%, similar to Xpert (56.5%; P > 0.05), and higher than MGIT (33.1%; P < 0.001). Based on Xpert and/or MYCOTB results, MeltPro exhibited a sensitivity and specificity of 98.3% and 99.2%, respectively, for detecting RIF resistance. Based on MYCOTB results, MeltPro's sensitivity for detecting resistance to INH, EMB, STR, and FQ was 96.4%, 89.1%, 97.5%, and 90.3%, respectively, with specificities of 96.0%, 96.0%, 95.2%, and 99.4%, respectively. CONCLUSION The MeltPro TB assay could potentially be an effective alternative as the initial test for rapid diagnosis of PTB with drug-resistance detection in clinical practice.
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Affiliation(s)
- Zhi-Bin Liu
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Li-Ping Cheng
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Hong-Qiu Pan
- Department of Tuberculosis, The Third People's Hospital of Zhenjiang, School of Medicine, Jiangsu University, Jiangsu, China
| | - Xiao-Cui Wu
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Fu-Hui Lu
- Department of Tuberculosis, The Third People's Hospital of Zhenjiang, School of Medicine, Jiangsu University, Jiangsu, China
| | - Jie Cao
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Lei Wang
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Wei Wei
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Hong-Yu Chen
- Department of Tuberculosis, The Third People's Hospital of Zhenjiang, School of Medicine, Jiangsu University, Jiangsu, China
| | - Wei Sha
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
| | - Qin Sun
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
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Tong E, Zhou Y, Liu Z, Zhu Y, Zhang M, Wu K, Pan J, Jiang J. Bedaquiline Resistance and Molecular Characterization of Rifampicin-Resistant Mycobacterium Tuberculosis Isolates in Zhejiang, China. Infect Drug Resist 2023; 16:6951-6963. [PMID: 37928607 PMCID: PMC10625375 DOI: 10.2147/idr.s429003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 10/10/2023] [Indexed: 11/07/2023] Open
Abstract
Purpose This study aimed to determine the prevalence and molecular characterization of bedaquiline (BDQ) resistance among rifampicin-resistant tuberculosis (RR-TB) isolates collected from Zhejiang, China. Patients and Methods A total of 245 RR-TB isolates were collected from 19 municipal TB hospitals in Zhejiang province, China between January and December 2021. Microplate assays were used to determine the minimum inhibitory concentrations (MIC) of BDQ. Whole-genome sequencing (WGS) was performed on isolates with MIC values for BDQ ≥ 0.25 μg/mL. Results Five (2.04%) BDQ-resistant strains were isolated from 245 tuberculosis patients. The resistance rate of BDQ was not correlated to the sex, age, treatment history, or occupation of patients. Four BDQ-resistant isolates and three BDQ-sensitive isolates were found to carry Rv0678 mutations, and one BDQ-resistant strain carried both Rv0678 and pepQ mutations. No mutations within the atpE and Rv1979c genes were observed. Conclusion BDQ demonstrated strong in vitro antibacterial activity against RR-TB isolates, and the Rv0678 gene was identified as the primary mechanism contributing to BDQ resistance among RR-TB isolates from Zhejiang, China. Furthermore, in addition to the four currently known resistance-associated genes (atpE, Rv0678, Rv1979c, and pepQ), other mechanisms of resistance to BDQ may exist that need further study.
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Affiliation(s)
- Enyu Tong
- School of Public Health, Hangzhou Normal University, Hangzhou, 311100, People’s Republic of China
| | - Ying Zhou
- School of Public Health, Hangzhou Normal University, Hangzhou, 311100, People’s Republic of China
| | - Zhengwei Liu
- Tuberculosis Control Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, People’s Republic of China
| | - Yelei Zhu
- Tuberculosis Control Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, People’s Republic of China
| | - Mingwu Zhang
- Tuberculosis Control Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, People’s Republic of China
| | - Kunyang Wu
- Tuberculosis Control Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, People’s Republic of China
| | - Junhang Pan
- Tuberculosis Control Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, People’s Republic of China
| | - Jianmin Jiang
- School of Public Health, Hangzhou Normal University, Hangzhou, 311100, People’s Republic of China
- Tuberculosis Control Department, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, People’s Republic of China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, 310051, People’s Republic of China
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An Q, Lin R, Yang Q, Wang C, Wang D. Evaluation of genetic mutations associated with phenotypic resistance to fluoroquinolones, bedaquiline, and linezolid in clinical Mycobacterium tuberculosis: A systematic review and meta-analysis. J Glob Antimicrob Resist 2023; 34:214-226. [PMID: 37172764 DOI: 10.1016/j.jgar.2023.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/26/2023] [Accepted: 05/02/2023] [Indexed: 05/15/2023] Open
Abstract
OBJECTIVES The aim of the study was to update the classification of drugs used in multidrug-resistant tuberculosis (MDR-TB) regimens. Group A drugs (fluoroquinolones, bedaquiline (BDQ), and linezolid (LZD)) are crucial drugs for the control of MDR-TB. Molecular drug resistance assays could facilitate the effective use of Group A drugs. METHODS We summarised the evidence implicating specific genetic mutations in resistance to Group A drugs. We searched PubMed, Embase, MEDLINE, and the Cochrane Library for studies published from the inception of each database until July 1, 2022. Using a random-effects model, we calculated the odds ratios and 95% confidence intervals as our measures of association. RESULTS A total of 5001 clinical isolates were included in 47 studies. Mutations in gyrA A90V, D94G, D94N, and D94Y were significantly associated with an increased risk of a levofloxacin (LFX)-resistant phenotype. In addition, mutations in gyrA G88C, A90V, D94G, D94H, D94N, and D94Y were significantly associated with an increased risk of a moxifloxacin (MFX)-resistant phenotype. In only one study, the majority of gene loci (n = 126, 90.65%) in BDQ-resistant isolates were observed to have unique mutations in atpE, Rv0678, mmpL5, pepQ, and Rv1979c. The most common mutations occurred at four sites in the rrl gene (g2061t, g2270c, g2270t, and g2814t) and at one site in rplC (C154R) in LZD-resistant isolates. Our meta-analysis demonstrated that there were no mutations associated with BDQ- or LZD-resistant phenotypes. CONCLUSION The mutations detected by rapid molecular assay were correlated with phenotypic resistance to LFX and MFX. The absence of mutation-phenotype associations for BDQ and LZD hindered the development of a rapid molecular assay.
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Affiliation(s)
- Qi An
- Scientific Research and Teaching Department, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China
| | - Rui Lin
- Scientific Research and Teaching Department, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China
| | - Qing Yang
- Scientific Research and Teaching Department, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China
| | - Chuan Wang
- Scientific Research and Teaching Department, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China.
| | - Dongmei Wang
- Scientific Research and Teaching Department, Public Health Clinical Center of Chengdu, Chengdu, Sichuan, China.
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Hu Y, Fan J, Zhu D, Liu W, Li F, Li T, Zheng H. Investigation of bedaquiline resistance and genetic mutations in multi-drug resistant Mycobacterium tuberculosis clinical isolates in Chongqing, China. Ann Clin Microbiol Antimicrob 2023; 22:19. [PMID: 36855179 PMCID: PMC9976417 DOI: 10.1186/s12941-023-00568-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/15/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND To investigate the prevalence and molecular characterization of bedaquiline resistance among MDR-TB isolates collected from Chongqing, China. METHODS A total of 205 MDR-TB isolates were collected from Chongqing Tuberculosis Control Institute between March 2019 and June 2020. The MICs of BDQ were determined by microplate alamarblue assay. All strains were genotyped by melting curve spoligotyping, and were subjected to WGS. RESULTS Among the 205 MDR isolates, the resistance rate of BDQ was 4.4% (9/205). The 55 (26.8%) were from male patients and 50 (24.4%) were new cases. Furthermore, 81 (39.5%) of these patients exhibited lung cavitation, 13 (6.3%) patients afflicted with diabetes mellitus, and 170 (82.9%) isolates belonged to Beijing family. However, the distribution of BDQ resistant isolates showed no significant difference among these characteristics. Of the 86 OFX resistant isolates, 8 isolates were XDR (9.3%, 8/86). Six BDQ resistant isolates (66.7%, 6/9) and two BDQ susceptible isolates (1.0%, 2/196) carried mutations in Rv0678. A total of 4 mutations types were identified in BDQ resistant isolates, including mutation in A152G (50%, 3/6), T56C (16.7%, 1/6), GA492 insertion (16.7%, 1/6), and A274 insertion (16.7%, 1/6). BDQ showed excellent activity against MDR-TB in Chongqing. CONCLUSIONS BDQ showed excellent activity against MDR-TB in Chongqing. The resistance rate of BDQ was not related to demographic and clinical characteristics. Mutations in Rv0678 gene were the major mechanism to BDQ resistance, with A152G as the most common mutation type. WGS has a good popularize value and application prospect in the rapid detection of BDQ resistance.
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Affiliation(s)
- Yan Hu
- Tuberculosis Reference Laboratory, Chongqing Tuberculosis Control Institute, Chongqing, China
| | - Jun Fan
- Tuberculosis Reference Laboratory, Chongqing Tuberculosis Control Institute, Chongqing, China
| | - Damin Zhu
- Tuberculosis Reference Laboratory, Chongqing Tuberculosis Control Institute, Chongqing, China
| | - Wenguo Liu
- Tuberculosis Reference Laboratory, Chongqing Tuberculosis Control Institute, Chongqing, China
| | - Feina Li
- grid.411609.b0000 0004 1758 4735Laboratory of Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, 100045 China
| | - Tongxin Li
- Central Laboratory, Chongqing Public Health Medical Center, Chongqing, 400036, China.
| | - Huiwen Zheng
- Laboratory of Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, 100045, China.
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Kostyukova I, Pasechnik O, Mokrousov I. Epidemiology and Drug Resistance Patterns of Mycobacterium tuberculosis in High-Burden Area in Western Siberia, Russia. Microorganisms 2023; 11. [PMID: 36838390 DOI: 10.3390/microorganisms11020425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/28/2023] [Accepted: 02/07/2023] [Indexed: 02/11/2023] Open
Abstract
Russia is a high-burden area for multidrug-resistant tuberculosis (MDR-TB). Here, we studied the epidemiological situation and drug resistance patterns of Mycobacterium tuberculosis in the Omsk region in Western Siberia. M. tuberculosis isolates (n = 851) were recovered from newly diagnosed TB patients in 2021. The isolates were tested by bacteriological and molecular methods, and long-term epidemiological data were analyzed. The TB incidence dec, this is not variablereased from 93.9 in 2012 to 48.1 in 2021, per 100,000 population, but the primary MDR-TB rate increased from 19.2% to 26.4%. The destructive forms of tuberculosis accounted for 37.8% of all cases, while 35.5% of patients were smear-positive. Of all isolates tested, 55.2% were culture-positive, of which 94.5% were further tested for phenotypic drug resistance and associated mutations. More than half (53.4%) of isolates were drug-resistant, 13.9% were monoresistant and 67.9% were MDR. Among MDR isolates, 40.4% were pre-XDR, and 19.2% were XDR. The spectrum of drug resistance included second-line drugs (new-generation fluoroquinolones, linezolid), which significantly increase the risk of an adverse outcome in patients. In conclusion, our results highlight the critical importance of monitoring drug resistance in circulating M. tuberculosis strains emerging due to ineffective treatment and active transmission.
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Monde N, Munyeme M, Chongwe G, Wensman JJ, Zulu M, Siziya S, Tembo R, Siame KK, Shambaba O, Malama S. First and Second-Line Anti-Tuberculosis Drug-Resistance Patterns in Pulmonary Tuberculosis Patients in Zambia. Antibiotics (Basel) 2023; 12. [PMID: 36671366 DOI: 10.3390/antibiotics12010166] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/09/2023] [Accepted: 01/10/2023] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Drug-resistant tuberculosis has continued to be a serious global health threat defined by complexity as well as higher morbidity and mortality wherever it occurs, Zambia included. However, the paucity of information on drug-susceptibility patterns of both first-line and second-line anti-tuberculosis (anti-TB) drugs, including the new and repurposed drugs used in the management of drug-resistant tuberculosis in Zambia, was the major thrust for conducting this study. METHODS A total of 132 bacteriologically confirmed TB isolates were collected from patients with pulmonary TB during the period from April 2020 to December 2021 in Southern and Eastern Provinces of Zambia. Drug-resistance profiles were determined according to four first-line and five second-line anti-TB drugs. Standard mycobacteriological methods were used to isolate and determine phenotypic drug susceptibility. Data on the participants' social-demographic characteristics were obtained using a pre-test checklist. RESULTS Overall, the prevalence of resistance to one or more anti-TB drugs was 23.5% (31/132, 95% CI: 16.5-31.6%). A total of 9.8% (13/132, 95% CI: 5.3-16.2%) of the patients had multidrug-resistant TB and 1.2% were new cases, while 25.5% had a history of being previously treated for TB. Among those with mono-resistant TB strains, isoniazid (INH) resistance was the highest at 9.8% (13/132, 95% CI: 5.3-16.2%). Two (2/31) (6.5%) XDR-TB and one (1/31) (3.2%) pre-XDR-TB cases were identified among the MDR-TB patients. Previously treated patients were 40 times more likely (OR; 40.3, 95% CI: 11.1-146.5%) to have drug-resistant TB than those who had no history of being treated for TB. CONCLUSION This study has established a high rate of multidrug-resistant TB and has further identified both pre-XDR- and XDR-TB. There is a need to intensify surveillance of MDR- and XDR-TB to inform future guidelines for effective treatment and monitoring.
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Diriba G, Alemu A, Tola HH, Yenew B, Amare M, Eshetu K, Sinshaw W, Abebaw Y, Meaza A, Seid G, Moga S, Zerihun B, Getu M, Dagne B, Mollalign H, Tadesse M, Buta B, Wordofa N, Alemu E, Erresso A, Hailu M, Tefera Z, Wondimu A, Belhu T, Gamtesa DF, Getahun M, Kebede A, Abdela S. Pre-extensively drug-resistant tuberculosis among multidrug-resistant tuberculosis patients in Ethiopia: a laboratory-based surveillance study. IJID Reg 2022; 5:39-43. [PMID: 36176268 PMCID: PMC9513164 DOI: 10.1016/j.ijregi.2022.08.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/25/2022] [Accepted: 08/25/2022] [Indexed: 11/23/2022]
Abstract
Background The rise of drug-resistant tuberculosis (DR-TB) has presented a substantial challenge to the national tuberculosis (TB) control program. Understanding the epidemiology of pre-extensively drug-resistant tuberculosis (pre-XDR-TB) could help clinicians to adapt MDR-TB treatment regimens at an earlier stage. This study aimed to assess second-line anti-TB drug resistance among MDR-TB patients in Ethiopia using routine laboratory-based data. Methods Laboratory-based cross-sectional data were collected from the national TB reference laboratory and seven regional tuberculosis culture laboratories in Ethiopia from July 2019 to March 2022. The required data, such as drug-susceptibility testing (DST) results and sociodemographics, were collected on a structured checklist from laboratory registration books and electronic databases. Data were entered into a Microsoft Excel spreadsheet and analyzed using SPSS version 23. Descriptive statistics were performed to show the distribution and magnitude of drug resistance. Results Second-line drugs (SLDs) susceptibility testing was performed for 644 MDR isolates, of which 19 (3%) were found to be pre-XDR-TB cases. Of the total MDR-TB isolates, 19 (3%) were resistant to at least one fluoroquinolone drug, while 11 (1.7%) were resistant to at least one injectable second-line drug. Of the 644 MDR-TB isolates, 1.9% (5/261) pre-XDR were from new MDR-TB cases, while 3.7% (14/383) were from previously treated MDR-TB patients. The most frequently identified mutations, based on MTBDRsl results, were in codon A90V of the gyrA gene (77.3%) and A1401G of the rrs gene (45.5%). Conclusion The overall prevalence of pre-XDR-TB in Ethiopia is considerable. The majority of SLD resistance mutations were in the gyrA gene at position A90V. Modern, rapid DST is necessary to enable identification of pre-XDR-TB and XDR-TB in supporting proper regimen administration for patients.
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Affiliation(s)
- Getu Diriba
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Ayinalem Alemu
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Bazezew Yenew
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Misikir Amare
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Kirubel Eshetu
- USAID Eliminate TB Project, Management Sciences for Health, Addis Ababa, Ethiopia
| | | | | | - Abyot Meaza
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Getachew Seid
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Shewki Moga
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Melak Getu
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Biniyam Dagne
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | | | - Bedo Buta
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Niguse Wordofa
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Ephrem Alemu
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Michael Hailu
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Zigba Tefera
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Tegegn Belhu
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | | | - Abebaw Kebede
- Africa Centers for Disease Control and Prevention, Addis Ababa, Ethiopia
| | - Saro Abdela
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
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Dirie AMH, Çolakoğlu S, Abdulle OM, Abdi BM, Osman MA, Shire AM, Hussein AM. Prevalence of Multidrug-Resistant TB Among Smear-Positive Pulmonary TB Patients in Banadir, Somalia: A Multicenter Study. Infect Drug Resist 2022; 15:7241-7248. [DOI: 10.2147/idr.s386497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022] Open
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Swargam S, Kumari I, Kumar A, Pradhan D, Alam A, Singh H, Jain A, Devi KR, Trivedi V, Sarma J, Hanif M, Narain K, Ehtesham NZ, Hasnain SE, Ahmad S. MycoVarP: Mycobacterium Variant and Drug Resistance Prediction Pipeline for Whole-Genome Sequence Data Analysis. Front Bioinform 2022; 1:805338. [PMID: 36303799 PMCID: PMC9580932 DOI: 10.3389/fbinf.2021.805338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 12/13/2021] [Indexed: 11/13/2022] Open
Abstract
Whole-genome sequencing (WGS) provides a comprehensive tool to analyze the bacterial genomes for genotype–phenotype correlations, diversity of single-nucleotide variant (SNV), and their evolution and transmission. Several online pipelines and standalone tools are available for WGS analysis of Mycobacterium tuberculosis (Mtb) complex (MTBC). While they facilitate the processing of WGS data with minimal user expertise, they are either too general, providing little insights into bacterium-specific issues such as gene variations, INDEL/synonymous/PE-PPE (IDP family), and drug resistance from sample data, or are limited to specific objectives, such as drug resistance. It is understood that drug resistance and lineage-specific issues require an elaborate prioritization of identified variants to choose the best target for subsequent therapeutic intervention. Mycobacterium variant pipeline (MycoVarP) addresses these specific issues with a flexible battery of user-defined and default filters. It provides an end-to-end solution for WGS analysis of Mtb variants from the raw reads and performs two quality checks, viz, before trimming and after alignments of reads to the reference genome. MycoVarP maps the annotated variants to the drug-susceptible (DS) database and removes the false-positive variants, provides lineage identification, and predicts potential drug resistance. We have re-analyzed the WGS data reported by Advani et al. (2019) using MycoVarP and identified some additional variants not reported so far. We conclude that MycoVarP will help in identifying nonsynonymous, true-positive, drug resistance–associated variants more effectively and comprehensively, including those within the IDP of the PE-PPE/PGRS family, than possible from the currently available pipelines.
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Affiliation(s)
- Sandeep Swargam
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology, Hauz Khas, New Delhi, India
- Department of Molecular Medicine, School of Interdisciplinary Sciences, Jamia Hamdard, New Delhi, India
| | - Indu Kumari
- Inflammation Biology and Cell Signalling Lab, Safdarjung Hospital Campus, ICMR National Institute of Pathology, New Delhi, India
| | - Amit Kumar
- ICMR Computational Genomics Centre, Informatics Systems and Research Management (ISRM) Division, Indian Council of Medical Research (ICMR), New Delhi, India
| | - Dibyabhaba Pradhan
- ICMR Computational Genomics Centre, Informatics Systems and Research Management (ISRM) Division, Indian Council of Medical Research (ICMR), New Delhi, India
| | - Anwar Alam
- Inflammation Biology and Cell Signalling Lab, Safdarjung Hospital Campus, ICMR National Institute of Pathology, New Delhi, India
| | - Harpreet Singh
- ICMR Computational Genomics Centre, Informatics Systems and Research Management (ISRM) Division, Indian Council of Medical Research (ICMR), New Delhi, India
| | - Anuja Jain
- School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| | | | - Vishal Trivedi
- Department of Biosciences and Bioengineering, Indian Institute of Technology-Guwahati, Guwahati, India
| | - Jogesh Sarma
- Department of Pulmonary Medicine, Guwahati, India
| | | | - Kanwar Narain
- ICMR-Regional Medical Research Centre, Dibrugarh, India
| | - Nasreen Zafar Ehtesham
- Inflammation Biology and Cell Signalling Lab, Safdarjung Hospital Campus, ICMR National Institute of Pathology, New Delhi, India
| | - Seyed Ehtesham Hasnain
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology, Hauz Khas, New Delhi, India
- Department of Life Sciences, Sharda University, Greater NOIDA, India
| | - Shandar Ahmad
- School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
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Pandey M, Tiwari S, Johri S, Biswal BK, Sharma C, Pandey AK. Investigating a putative transcriptional regulatory protein encoded by Rv1719 gene of Mycobacterium tuberculosis. Protein J 2022. [PMID: 35715720 DOI: 10.1007/s10930-022-10062-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/03/2022] [Indexed: 10/18/2022]
Abstract
Mycobacterium tuberculosis, the causative agent of tuberculosis, demonstrates immense plasticity with which it adapts to a highly dynamic and hostile host environment. This is facilitated by a web of signalling pathways constantly modulated by a multitude of proteins that regulate the flow of genetic information inside the pathogen. Transcription factors (TFs) belongs to one such family of proteins that modulate the signalling by regulating the abundance of proteins at the transcript level. In the current study, we have characterized the putative transcriptional regulatory protein encoded by the Rv1719 gene of Mycobacterium tuberculosis. This TF belongs to the IclR family of proteins with orthologs found in both bacterial and archaeal species. We cloned the Rv1719 gene into the pET28a expression vector and performed heterologous expression of the recombinant protein with E coli as the host. Further, optimization of the purification protocol by affinity chromatography and characterization of proteins for their functional viability has been demonstrated using various biochemical and/or biophysical approaches. Scale-up of purification yielded approximately 30 mg of ~ 28 kDa protein per litre of culture. In-silico protein domain analysis of Rv1719 protein predicted the presence of the helix-turn-helix (HTH) domain suggesting its ability to bind DNA sequence and modulate transcription; a hallmark of a transcriptional regulatory protein. Further, by performing electrophoretic mobility shift assay (EMSA) we demonstrated that the protein binds to a specific DNA fragment harboring the probable binding site of one of the predicted promoters.
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Duan Q, Zhang Z, Tian D, Zhou M, Hu Y, Wu J, Wang T, Li Y, Chen J. Transmission of multidrug-resistant Mycobacterium tuberculosis in Wuhan, China: A retrospective molecular epidemiological study. Medicine (Baltimore) 2022; 101:e28751. [PMID: 35089253 PMCID: PMC8797475 DOI: 10.1097/md.0000000000028751] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 01/13/2022] [Indexed: 01/05/2023] Open
Abstract
How multidrug-resistant tuberculosis (MDR-TB) spreads and expands in Wuhan population is not clear. The study aimed to determine the transmission patterns of MDR-TB in Wuhan city, China, including 149 patients with MDR-TB.Tuberculosis isolates were genotyped by deletion-targeted multiplex polymerase chain reaction, mycobacterial interspersed repetitive unit-variable number tandem repeat typing, and sequencing of drug resistance-associated genes. The risk factors of genomic-clustering were analyzed with logistic regression. The genomic-clustering patients were deeply investigated.The analysis identified 111 unique and 11 clustered genotypes (38 isolates). The clustering rate was 25.50% and the minimum estimate proportion of recent transmission was 18.12%. Two clusters (5 isolates) shared the same mutation, the remain 9 clusters (33 isolates) had different mutation. Logistic regression showed that older than 60 years (adjusted OR 2.360, 95% CI:1.052-5.292) was an independent factor associated with the genomic-clustering of MDR-TB. Among the 38 genomic-clustering cases, 14 cases had epidemiological transmission links. The most common type of transmission link was social contact.The local transmission of MDR-TB in Wuhan was really an issue. The elderly population might be the high-risk groups for transmission of MDR-TB, and the community or public transportation might be the main transmission places.
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Affiliation(s)
- Qionghong Duan
- Department of Tuberculosis Prevention, Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Zhengbin Zhang
- Department of Tuberculosis Prevention, Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Dan Tian
- Department of Tuberculosis Prevention, Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Meilan Zhou
- Department of Tuberculosis Prevention, Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Yanjie Hu
- Department of Clinical Laboratory, Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Jun Wu
- Department of Supervision, Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Tiantian Wang
- Department of Tuberculosis Prevention, Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Yuehua Li
- Wuhan Pulmonary Hospital, Wuhan, Hubei, China
| | - Jun Chen
- Department of Clinical Laboratory, Wuhan Pulmonary Hospital, Wuhan, Hubei, China
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