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Chong Y, Li X, Long Y, Pei S, Ren Q, Feng F, Zhang H. Identification of novel resistance-associated mutations and discrimination within whole-genome sequences of fluoroquinolone-resistant Mycobacterium tuberculosis isolates. Microbiol Spectr 2024; 12:e0393023. [PMID: 38687077 DOI: 10.1128/spectrum.03930-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 04/13/2024] [Indexed: 05/02/2024] Open
Abstract
This study aims to elucidate additional mutation loci associated with fluoroquinolone (FQ) resistance and evaluate the discriminatory capacity of mutation loci and allele mutation frequencies in identifying FQ-resistant Mycobacterium tuberculosis (MTB) isolates. A random selection of isolates was extracted from an ongoing collection. Drug resistance was determined using the resazurin microtiter assay (REMA) as the gold standard. Mutation loci and the burden of mutations in the quinolone resistance-determining region (QRDR) were elucidated through whole-genome sequencing (WGS). Novel amino acid mutations, namely, G520D and G520T, were identified in the gyrB and associated with FQ resistance. In the context of distinguishing FQ-resistant isolates, the AUC for the QRDR mutation frequency burden (0.969) surpassed that of the mutation locus (0.929), and this difference was statistically significant (P = 0.03). Furthermore, using the resistance mutation locus as a reference, setting the QRDR mutation frequency burden threshold at 1.31% resulted in a 3.60% increase in the accuracy of classifying FQ-resistant isolates (NRI = 3.60%, P < 0.001). The QRDR mutation frequency burden appears to offer superior diagnostic efficacy in discriminating FQ-resistant isolates compared to qualitative detection of mutant loci.IMPORTANCEFluoroquinolone (FQ) drugs are recommended as second-line drugs for the treatment of multidrug-resistant tuberculosis. With the massive use of FQ drugs in the clinical treatment of tuberculosis (TB), there is an increasing rate of drug resistance to FQ drugs. In this study, we identified and demonstrated novel amino acid mutations associated with FQ resistance in Mycobacterium tuberculosis (MTB), and we quantified the mutation sites and identified the quinolone resistance-determining region (QRDR) mutation frequency burden as a novel diagnostic method for FQ resistance. We hope that the results of this study will provide data support and a theoretical basis for the rapid diagnosis of FQ-resistant MTB.
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Affiliation(s)
- Yingzhi Chong
- Hebei Coordinated Innovation Center of Occupational Health and Safety, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China
- School of Public Health, Shandong Second Medical University, Weifang, Shangdong Province, China
| | - Xueying Li
- Hebei Coordinated Innovation Center of Occupational Health and Safety, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China
| | - Yifei Long
- Hebei Coordinated Innovation Center of Occupational Health and Safety, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China
| | - Shengfei Pei
- Hebei Coordinated Innovation Center of Occupational Health and Safety, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China
| | - Qi Ren
- Hebei Coordinated Innovation Center of Occupational Health and Safety, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China
| | - Fumin Feng
- Hebei Coordinated Innovation Center of Occupational Health and Safety, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China
| | - Haibo Zhang
- Hebei Coordinated Innovation Center of Occupational Health and Safety, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, China
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
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Maitre T, Baulard A, Aubry A, Veziris N. Optimizing the use of current antituberculosis drugs to overcome drug resistance in Mycobacterium tuberculosis. Infect Dis Now 2024; 54:104807. [PMID: 37839674 DOI: 10.1016/j.idnow.2023.104807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 10/10/2023] [Indexed: 10/17/2023]
Abstract
Antibiotic-resistant tuberculosis continues to be one of the major threats to global tuberculosis control. After a hiatus of over 40 years in antituberculosis drug development, the last decade has seen a resurgence of research, yielding a number of promising compounds in the tuberculosis drug pipeline, with some that are now game changers in the treatment of MDRTB. Despite this progress, there are still obstacles restricting the use of these molecules as first-line drugs. The quick appearance of bacteria resistant to these new treatments highlights a continuing need to fuel the discovery and development of new molecules. With this in mind, alternative strategies aimed at optimizing the utilization of existing antituberculosis agents are currently under evaluation. They are focused on enhancing the efficacy of antibiotics against their bacterial targets, primarily by augmenting the quantity of antibiotic that engages with these targets. This objective can be achieved through two primary approaches: (1) Provided that toxicity concerns are not a limiting factor, increased dosing is a viable avenue, as demonstrated by rifampicin, isoniazid, and fluoroquinolones, for which escalated dosing has been effective; and (2) Employing enhancers such as drug activator boosters (ethionamide), efflux pump inhibitors, or hydrolytic enzyme inhibitors (kanamycin) can elevate the concentration of antibiotics in bacterial cells. These strategies offer the potential to mitigate antibiotic obsolescence and complement the discovery of new antibiotics.
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Affiliation(s)
- Thomas Maitre
- Sorbonne Université, Centre d'Immunologie et des Maladies Infectieuses (Cimi-Paris), UMR 1135, Paris, France; Service de Pneumologie et d'Oncologie Thoracique, Centre constitutif maladies rares, Hôpital Tenon, AP-HP, Sorbonne-Université, Paris, France.
| | - Alain Baulard
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Alexandra Aubry
- Sorbonne Université, Centre d'Immunologie et des Maladies Infectieuses (Cimi-Paris), UMR 1135, Paris, France; AP-HP, Sorbonne-Universite, Hôpital Pitié Salpêtrière, Laboratoire de Bactériologie-Hygiene, Centre National de Référence des Mycobactéries, Paris France
| | - Nicolas Veziris
- Sorbonne Université, Centre d'Immunologie et des Maladies Infectieuses (Cimi-Paris), UMR 1135, Paris, France; AP-HP, Sorbonne-Université, Hôpital Saint-Antoine, Département de Bactériologie, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Hôpital Pitié-Salpêtrière, Paris, France
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Khan Z, Zhu Y, Guan P, Peng J, Su B, Ma S, Ualiyeva D, Jamal K, Yusuf B, Ding J, Sapkota S, Hameed HMA, Tan Y, Lin Y, Hu J, Liu J, Zhang T. Distribution of common and rare drug resistance patterns in Mycobacterium tuberculosis clinical isolates revealed by GenoType MTBDR plus and MTBDR sl assay. J Thorac Dis 2023; 15:5494-5506. [PMID: 37969306 PMCID: PMC10636455 DOI: 10.21037/jtd-23-138] [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: 01/29/2023] [Accepted: 08/25/2023] [Indexed: 11/17/2023]
Abstract
Background Tuberculosis (TB) remains a significant global health emergency caused by Mycobacterium tuberculosis (Mtb). The epidemiology, transmission, genotypes, mutational patterns, and clinical consequences of TB have been extensively studied worldwide, however, there is a lack of information regarding the epidemiology and mutational patterns of Mtb in Pakistan, specifically concerning the prevalence of multi-drug resistant TB (MDR-TB). Methods This study aimed to investigate the incidence of Mtb and associated mutational patterns using the line probe assay (LPA). Previous studies have reported a high frequency of mutations in the rpoB, inhA, and katG genes, which are associated with resistance to rifampicin (RIF) and isoniazid (INH). Therefore, the current study utilized LPA to detect mutations in the rpoB, katG, and inhA genes to identify multi-drug resistant Mtb. Results LPA analysis of a large pool of Mtb isolates, including samples from 241 sputum-positive patients, revealed that 34.85% of isolates were identified as MDR-TB, consistent with reports from various regions worldwide. The most prevalent mutations observed were rpoB S531L and inhA promoter C15T, which were associated with resistance to RIF and INH, respectively. Conclusions This study highlights the effectiveness of GenoType MTBDRplus and MTBDRsl assays as valuable tools for TB management. These assays enable rapid detection of resistance to RIF, INH, and fluoroquinolones (FQs) in Mtb clinical isolates, surpassing the limitations of solid and liquid media-based methods. The findings contribute to our understanding of MDR-TB epidemiology and provide insights into the genetic profiles of Mtb in Pakistan, which are essential for effective TB control strategies.
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Affiliation(s)
- Zafran Khan
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Canada
- Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
- China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China
| | - Yuting Zhu
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China
- China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China
- University of Science and Technology of China, Hefei, China
| | - Ping Guan
- State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou, China
| | - Jiacong Peng
- Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Biyi Su
- State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou, China
| | - Shangming Ma
- State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou, China
| | - Daniya Ualiyeva
- University of Chinese Academy of Sciences, Beijing, China
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Khalid Jamal
- Programmatic Management of Drug-Resistant Tuberculosis, Saidu Teaching Hospital, Saidu Sharif, Pakistan
| | - Buhari Yusuf
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
- China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China
| | - Jie Ding
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China
- China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China
| | - Sanjeep Sapkota
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
- China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China
| | - H. M. Adnan Hameed
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China
- China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China
| | - Yaoju Tan
- State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou, China
| | - Yongping Lin
- Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jinxing Hu
- State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou, China
| | - Jianxiong Liu
- State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou, China
| | - Tianyu Zhang
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Diseases, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
- China-New Zealand Joint Laboratory on Biomedicine and Health, Guangzhou, China
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Li MC, Lu Y, Liu HC, Lin SQ, Qian C, Nan XT, Li GL, Zhao XQ, Wan KL, Zhao LL. Rapid detection of fluoroquinolone resistance in Mycobacterium tuberculosis using a novel multienzyme isothermal rapid assay. J Antibiot (Tokyo) 2023; 76:598-602. [PMID: 37402884 DOI: 10.1038/s41429-023-00639-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 05/22/2023] [Accepted: 05/24/2023] [Indexed: 07/06/2023]
Abstract
Simple, rapid, and accurate detection of Fluoroquinolone (FQ) resistance is essential for early initiation of appropriate anti-tuberculosis treatment regimen among rifampicin-resistant tuberculosis (RR-TB). In this study, we developed a new assay, which combines multienzyme isothermal rapid amplification and a lateral flow strip (MIRA-LF), to identify the mutations on codons 90 and 94 of gyrA for detecting levofloxacin (LFX) resistance. Compared to conventional phenotypic drug susceptibility testing, the new assay detected fluoroquinolone resistance with a sensitivity, specificity, and accuracy of 92.4%, 98.5%, and 96.5%, respectively. Thus, these characteristics of the newly developed MIRA-LF assay make it particularly useful and accurate for detecting FQ resistance in Mycobacterium tuberculosis in resource-limited condition.
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Affiliation(s)
- Ma-Chao Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China
| | - Yao Lu
- Department of Laboratory Medicine, Ningbo First Hospital, Ningbo Hospital of Ningbo University, Ningbo, 315010, China
| | - Hai-Can Liu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China
| | - Shi-Qiang Lin
- College of Life Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China
| | - Cheng Qian
- Beijing Center for Disease Control and Prevention, 100013, Beijing, China
| | - Xiao-Tian Nan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China
| | - Gui-Lian Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China
| | - Xiu-Qin Zhao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China
| | - Kang-Lin Wan
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China
| | - Li-Li Zhao
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Beijing, China.
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Sidiq Z, Hanif M, Dwivedi KK, Chopra KK, Khanna A, Vashishat BK. Correlating clinical breakpoint concentration of moxifloxacin with gyrA mutations using the GenoType MTBDRsl assay Version 2.0. Indian J Tuberc 2023; 70:361-365. [PMID: 37562913 DOI: 10.1016/j.ijtb.2022.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 10/03/2022] [Accepted: 11/28/2022] [Indexed: 08/12/2023]
Abstract
INTRODUCTION Widespread use of Fluoroquinolones (FQs) has led to the development of its resistance in clinical isolates of Mycobacterium tuberculosis. However, in Mycobacterium tuberculosis, phenotypic resistance to FQs has been shown to be heterogeneous, ranging from low-level resistance to high-level resistance. This stratification in resistance has important implications for the inclusion of moxifloxacin (Mfx) in the treatment regimen. The World Health Organization recommends the use of GenoType MTBDRsl assay as the initial test for detecting resistance conferring mutations (both high and low) to FQs in patients with confirmed MDR-RR TB. The present study was conducted to explore the relationship of MTBDRsl Version 2.0 detected mutations in gyrA gene and genotypic DST of Mfx at WHO defined Clinical Breakpoint (CB). MATERIALS AND METHODS A total of 200 sputum samples from Confirmed MDR/RR TB patients were included in this study. All of these samples had mutations conferring resistance to FQ confirmed by GenoType MTBDRsl assay. These samples were further subjected to Phenotypic DST against moxifloxacin using the Bactec MGIT-960 system. RESULTS All of the 200 representative FQ resistant isolates had mutations in gyrA gene only with no detectable mutation in gyrB gene. 109 (54.5%) of the isolates had mutations associated with high-level increase in MIC while 91 (45.5%) isolates had mutations associated with low-level increase in MIC. Phenotypic DST of these 200 isolates against Mfx at CB (1.0μg/ml) revealed that of the 109 isolates with mutations associated with high-level increase in MIC and expected to be resistant at CB, only 34 (31.2%) were resistant and the remaining 75 (68.8%) were sensitive. CONCLUSION Moxifloxacin is an important drug in the regimen for treating Drug-resistant TB and the decision to exclude this drug from the regimen should not be taken merely on the basis of mutational patterns. It should rather be taken after considering the combined results of mutational analysis and phenotypic DST.
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Affiliation(s)
- Zeeshan Sidiq
- New Delhi Tuberculosis Centre, Jawaharlal Nehru Marg, Delhi Gate, New Delhi, 110002, India
| | - M Hanif
- New Delhi Tuberculosis Centre, Jawaharlal Nehru Marg, Delhi Gate, New Delhi, 110002, India.
| | - Kaushal Kumar Dwivedi
- New Delhi Tuberculosis Centre, Jawaharlal Nehru Marg, Delhi Gate, New Delhi, 110002, India
| | - Kamal Kishore Chopra
- New Delhi Tuberculosis Centre, Jawaharlal Nehru Marg, Delhi Gate, New Delhi, 110002, India
| | - Ashwani Khanna
- State TB Cell, NTEP Delhi, Health Centre Building, Delhi Government Colony, Gulabi Bagh, Delhi, 110007, India
| | - B K Vashishat
- State TB Cell, NTEP Delhi, Health Centre Building, Delhi Government Colony, Gulabi Bagh, Delhi, 110007, India
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Hussain MA, Mohamed MS, Altayb HN, Mohamed AO, Ashour A, Osman W, Sherif AE, Ghazawi KF, Miski SF, Ibrahim SRM, Mohamed GA, Sindi IA, Alshamrani AA, Elgaml A. Comparative Genomic Analysis of Multi-Drug Resistant Pseudomonas aeruginosa Sequence Type 235 Isolated from Sudan. Microorganisms 2023; 11:1432. [PMID: 37374934 DOI: 10.3390/microorganisms11061432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/20/2023] [Accepted: 05/24/2023] [Indexed: 06/29/2023] Open
Abstract
Pseudomonas aeruginosa (P. aeruginosa) is known to be associated with resistance to practically all known antibiotics. This is a cross-sectional, descriptive, laboratory-based analytical study in which 200 P. aeruginosa clinical isolates were involved. The DNA of the most resistant isolate was extracted and its whole genome was sequenced, assembled, annotated, and announced, strain typing was ascribed, and it was subjected to comparative genomic analysis with two susceptible strains. The rate of resistance was 77.89%, 25.13%, 21.61%, 18.09%, 5.53%, and 4.52% for piperacillin, gentamicin, ciprofloxacin, ceftazidime, meropenem, and polymyxin B, respectively. Eighteen percent (36) of the tested isolates exhibited a MDR phenotype. The most MDR strain belonged to epidemic sequence type 235. Comparative genomic analysis of the MDR strain (GenBank: MVDK00000000) with two susceptible strains revealed that the core genes were shared by the three genomes but there were accessory genes that were strain-specific, and this MDR genome had a low CG% (64.6%) content. A prophage sequence and one plasmid were detected in the MDR genome, but amazingly, it contained no resistant genes for drugs with antipseudomonal activity and there was no resistant island. In addition, 67 resistant genes were detected, 19 of them were found only in the MDR genome and 48 genes were efflux pumps, and a novel deleterious point mutation (D87G) was detected in the gyrA gene. The novel deleterious mutation in the gyrA gene (D87G) is a known position behind quinolone resistance. Our findings emphasize the importance of adoption of infection control strategies to prevent dissemination of MDR isolates.
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Affiliation(s)
- Mohamed A Hussain
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, International University of Africa, Khartoum P.O. Box 2469, Sudan
| | - Malik Suliman Mohamed
- Department of Pharmaceutics, College of Pharmacy, Jouf University, Sakaka 72388, Saudi Arabia
- Department of Pharmaceutics, Faculty of Pharmacy, University of Khartoum, Khartoum 11111, Sudan
| | - Hisham N Altayb
- Department of Biochemistry, Faculty of Sciences, King Abdulaziz University, Jeddah 23589, Saudi Arabia
| | - Ahmed Osman Mohamed
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, International University of Africa, Khartoum P.O. Box 2469, Sudan
| | - Ahmed Ashour
- Department of Pharmacognosy, Faculty of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia
- Department of Pharmacognosy, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt
| | - Wadah Osman
- Department of Pharmacognosy, Faculty of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia
- Department of Pharmacognosy, Faculty of Pharmacy, University of Khartoum, Khartoum 11115, Sudan
| | - Asmaa E Sherif
- Department of Pharmacognosy, Faculty of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia
- Department of Pharmacognosy, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt
| | - Kholoud F Ghazawi
- Clinical Pharmacy Department, College of Pharmacy, Umm Al-Qura University, Makkah 24382, Saudi Arabia
| | - Samar F Miski
- Department of Pharmacology and Toxicology, College of Pharmacy, Taibah University, Al-Madinah Al-Munawwarah 30078, Saudi Arabia
| | - Sabrin R M Ibrahim
- Department of Chemistry, Preparatory Year Program, Batterjee Medical College, Jeddah 21442, Saudi Arabia
- Department of Pharmacognosy, Faculty of Pharmacy, Assiut University, Assiut 71526, Egypt
| | - Gamal A Mohamed
- Department of Natural Products and Alternative Medicine, Faculty of Pharmacy, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Ikhlas A Sindi
- Department of Biology, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Ahmad A Alshamrani
- Pharmaceutical Care Department, Ministry of National Guard-Health Affairs, Jeddah 22384, Saudi Arabia
| | - Abdelaziz Elgaml
- Microbiology and Immunology Department, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt
- Microbiology and Immunology Department, Faculty of Pharmacy, Horus University, New Damietta 34511, Egypt
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Perumal R, Khan A, Naidoo K, Ngema SL, Nandlal L, Padayatchi N, Dookie N. Mycobacterium tuberculosis Intra-Host Evolution Among Drug-Resistant Tuberculosis Patients Failing Treatment. Infect Drug Resist 2023; 16:2849-2859. [PMID: 37193296 PMCID: PMC10182815 DOI: 10.2147/idr.s408976] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/29/2023] [Indexed: 05/18/2023] Open
Abstract
Background Understanding Mycobacterium tuberculosis (Mtb) intra-host evolution of drug resistance is important for successful drug-resistant tuberculosis (DR-TB) treatment and control strategies. This study aimed to characterise the acquisition of genetic mutations and low-frequency variants associated with treatment-emergent Mtb drug resistance in longitudinally profiled clinical isolates from patients who experienced DR-TB treatment failure. Patients and Methods We performed deep Whole Genome Sequencing on 23 clinical isolates obtained longitudinally across nine timepoints from five patients who experienced DR-TB treatment failure enrolled in the CAPRISA 020 InDEX study. The minimum inhibitory concentrations (MICs) were established on the BACTEC™ MGIT 960™ instrument on 15/23 longitudinal clinical isolates for eight anti-TB drugs (rifampicin, isoniazid, ethambutol, levofloxacin, moxifloxacin, linezolid, clofazimine, bedaquiline). Results In total, 22 resistance associated mutations/variants were detected. We observed four treatment-emergent mutations in two out of the five patients. Emerging resistance to the fluoroquinolones was associated with 16- and 64-fold elevated levofloxacin (2-8 mg/L) and moxifloxacin (1-2 mg/L) MICs, respectively, resulting from the D94G/N and A90V variants in the gyrA gene. We identified two novel mutations associated with elevated bedaquiline MICs (>66-fold): an emerging frameshift variant (D165) on the Rv0678 gene and R409Q variant on the Rv1979c gene present from baseline. Conclusion Genotypic and phenotypic resistance to the fluoroquinolones and bedaquiline was acquired in two out of five patients who experienced DR-TB treatment failure. Deep sequencing of multiple longitudinal clinical isolates for resistance-associated mutations coupled with phenotypic MIC testing confirmed intra-host Mtb evolution.
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Affiliation(s)
- Rubeshan Perumal
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, KwaZulu Natal, South Africa
- South African Medical Research Council (SAMRC) – CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, KwaZulu Natal, South Africa
| | - Azraa Khan
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, KwaZulu Natal, South Africa
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, KwaZulu Natal, South Africa
- South African Medical Research Council (SAMRC) – CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, KwaZulu Natal, South Africa
| | - Senamile L Ngema
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, KwaZulu Natal, South Africa
| | - Louansha Nandlal
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, KwaZulu Natal, South Africa
- South African Medical Research Council (SAMRC) – CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, KwaZulu Natal, South Africa
| | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, KwaZulu Natal, South Africa
- South African Medical Research Council (SAMRC) – CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, KwaZulu Natal, South Africa
| | - Navisha Dookie
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, KwaZulu Natal, South Africa
- South African Medical Research Council (SAMRC) – CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, KwaZulu Natal, South Africa
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Domínguez J, Boeree MJ, Cambau E, Chesov D, Conradie F, Cox V, Dheda K, Dudnyk A, Farhat MR, Gagneux S, Grobusch MP, Gröschel MI, Guglielmetti L, Kontsevaya I, Lange B, van Leth F, Lienhardt C, Mandalakas AM, Maurer FP, Merker M, Miotto P, Molina-Moya B, Morel F, Niemann S, Veziris N, Whitelaw A, Horsburgh CR, Lange C. Clinical implications of molecular drug resistance testing for Mycobacterium tuberculosis: a 2023 TBnet/RESIST-TB consensus statement. THE LANCET. INFECTIOUS DISEASES 2023; 23:e122-e137. [PMID: 36868253 DOI: 10.1016/s1473-3099(22)00875-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/16/2022] [Accepted: 12/16/2022] [Indexed: 03/05/2023]
Abstract
Drug-resistant tuberculosis is a substantial health-care concern worldwide. Despite culture-based methods being considered the gold standard for drug susceptibility testing, molecular methods provide rapid information about the Mycobacterium tuberculosis mutations associated with resistance to anti-tuberculosis drugs. This consensus document was developed on the basis of a comprehensive literature search, by the TBnet and RESIST-TB networks, about reporting standards for the clinical use of molecular drug susceptibility testing. Review and the search for evidence included hand-searching journals and searching electronic databases. The panel identified studies that linked mutations in genomic regions of M tuberculosis with treatment outcome data. Implementation of molecular testing for the prediction of drug resistance in M tuberculosis is key. Detection of mutations in clinical isolates has implications for the clinical management of patients with multidrug-resistant or rifampicin-resistant tuberculosis, especially in situations when phenotypic drug susceptibility testing is not available. A multidisciplinary team including clinicians, microbiologists, and laboratory scientists reached a consensus on key questions relevant to molecular prediction of drug susceptibility or resistance to M tuberculosis, and their implications for clinical practice. This consensus document should help clinicians in the management of patients with tuberculosis, providing guidance for the design of treatment regimens and optimising outcomes.
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Affiliation(s)
- José Domínguez
- Institut d'Investigació Germans Trias i Pujol, Universitat Autònoma de Barcelona, CIBER Enfermedades Respiratorias, INNOVA4TB Consortium, Barcelona, Spain.
| | - Martin J Boeree
- Department of Lung Diseases, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands
| | - Emmanuelle Cambau
- Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France, APHP-Hôpital Bichat, Mycobacteriology Laboratory, INSERM, University Paris Cite, IAME UMR1137, Paris, France
| | - Dumitru Chesov
- Department of Pneumology and Allergology, Nicolae Testemițanu State University of Medicine and Pharmacy, Chisinau, Moldova; Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany
| | - Francesca Conradie
- Department of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Vivian Cox
- Centre for Infectious Disease Epidemiology and Research, School of Public Health and Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Keertan Dheda
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute & South African MRC/UCT Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa; Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK
| | - Andrii Dudnyk
- Department of Tuberculosis, Clinical Immunology and Allergy, National Pirogov Memorial Medical University, Vinnytsia, Ukraine; Public Health Center, Ministry of Health of Ukraine, Kyiv, Ukraine
| | - Maha R Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Sebastien Gagneux
- Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Martin P Grobusch
- Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Amsterdam University Medical Centers, Amsterdam Infection & Immunity, Amsterdam Public Health, University of Amsterdam, Amsterdam, Netherlands
| | - Matthias I Gröschel
- Department of Infectious Diseases and Respiratory Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Lorenzo Guglielmetti
- Sorbonne Université, INSERM, U1135, Centre d'Immunologie et des Maladies Infectieuses, (Cimi-Paris), APHP Sorbonne Université, Department of Bacteriology Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France
| | - Irina Kontsevaya
- Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Berit Lange
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany; German Centre for Infection Research, TI BBD, Braunschweig, Germany
| | - Frank van Leth
- Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Christian Lienhardt
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK; UMI 233 IRD-U1175 INSERM - Université de Montpellier, Institut de Recherche pour le Développement, Montpellier, France
| | - Anna M Mandalakas
- Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Global TB Program, Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Florian P Maurer
- National and Supranational Reference Center for Mycobacteria, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Merker
- Division of Evolution of the Resistome, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany
| | - Paolo Miotto
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Barbara Molina-Moya
- Institut d'Investigació Germans Trias i Pujol, Universitat Autònoma de Barcelona, CIBER Enfermedades Respiratorias, INNOVA4TB Consortium, Barcelona, Spain
| | - Florence Morel
- Sorbonne Université, INSERM, U1135, Centre d'Immunologie et des Maladies Infectieuses, (Cimi-Paris), APHP Sorbonne Université, Department of Bacteriology Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France
| | - Stefan Niemann
- Division of Molecular and Experimental Mycobacteriology, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Department of Human, Biological and Translational Medical Sciences, School of Medicine, University of Namibia, Windhoek, Namibia
| | - Nicolas Veziris
- Sorbonne Université, INSERM, U1135, Centre d'Immunologie et des Maladies Infectieuses, (Cimi-Paris), APHP Sorbonne Université, Department of Bacteriology Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France
| | - Andrew Whitelaw
- Division of Medical Microbiology, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa; National Health Laboratory Service, Tygerberg Hospital, Cape Town, South Africa
| | - Charles R Horsburgh
- Departments of Epidemiology, Biostatistics, Global Health and Medicine, Boston University Schools of Public Health and Medicine, Boston, MA, USA
| | - Christoph Lange
- Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Global TB Program, Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
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Ejo M, Torrea G, Diro E, Abebe A, Kassa M, Girma Y, Tesfa E, Ejigu K, Uwizeye C, Gehre F, de Jong BC, Rigouts L. Strain diversity and gene mutations associated with presumptive multidrug-resistant Mycobacterium tuberculosis complex isolates in Northwest Ethiopia. J Glob Antimicrob Resist 2023; 32:167-175. [PMID: 36470362 DOI: 10.1016/j.jgar.2022.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 08/25/2022] [Accepted: 11/25/2022] [Indexed: 12/07/2022] Open
Abstract
OBJECTIVES In this study, we assessed the genetic diversity and gene mutations that confer resistance to rifampicin (RIF), isoniazid (INH), fluoroquinolone (FQ), and second-line injectable (SLI) drugs in RIF-resistant (RR)/multidrug-resistant tuberculosis (MDR-TB) isolates in Northwest Ethiopia. METHODS Spoligotyping was used to assign isolates to TB lineages (Ls), and Hain line probe assays were used to detect resistance to RIF, INH, and FQs, and SLIs. RESULTS Among 130 analyzed strains, 68.5% were RR, and four major Mycobacterium tuberculosis complex lineages (L1, L3, L4, and L7) were identified with a predominance of the Euro-American L4 (72, 54.7%), while L7 genotypes were less common (3, 2.3%). Overall, the L4-T3-ETH (41, 32.0%), L3-CAS1-Delhi (29, 22.7%), and L3-CAS1-Killi (19, 14.8%) families were most common. Line probe analysis showed that among rpoB mutants, 65.2% were S450L, while 87.8% of katG mutants were S315T. Only three isolates showed mutation (c-15t) at the inhA gene, and no double mutation with katG and inhA genes was found. Six strains, two each of L1, L3, and L4, were resistant to FQs, having gyrA mutations (D94G, S91P), of which three isolates had additional resistance to SLI (rrs A1401G or C1402T mutations) including one isolate with low-level kanamycin (KAN) resistance. CONCLUSIONS This study showed a predominance of L4-T3-ETH, L3-CAS1-Delhi, and L3-CAS1-Killi families, with a high rate of rpoB_S450L and katG_S315T mutations and a low proportion of gyrA and rrs mutations. L7 was less frequently observed in this study. Further investigations are, therefore, needed to understand L7 and other lineages with undefined mutations.
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Affiliation(s)
- Mebrat Ejo
- Mycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium; Department of Biomedical Sciences, University of Gondar, Gondar, Ethiopia; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
| | - Gabriela Torrea
- Mycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium
| | - Ermias Diro
- Department of Internal Medicine, University of Gondar, Gondar, Ethiopia; MDR-TB Treatment and Follow-up Center, University of Gondar Specialized Hospital, Gondar, Ethiopia
| | - Ayenesh Abebe
- TB culture laboratory, University of Gondar Specialized Hospital, Gondar, Ethiopia
| | - Meseret Kassa
- TB culture laboratory, University of Gondar Specialized Hospital, Gondar, Ethiopia
| | - Yilak Girma
- TB culture laboratory, University of Gondar Specialized Hospital, Gondar, Ethiopia
| | - Eyasu Tesfa
- MDR-TB Treatment and Follow-up Center, University of Gondar Specialized Hospital, Gondar, Ethiopia
| | - Kefialew Ejigu
- TB culture laboratory, Amhara Public Health Institute, Bahir Dar, Ethiopia
| | - Cecile Uwizeye
- Mycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium
| | - Florian Gehre
- Department of Infectious Disease Epidemiology, Bernhard-Nocht-Institute for Tropical Medicine, Hamburg, Germany; East African Community Secretariat, Arusha, Tanzania
| | - Bouke C de Jong
- Mycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium
| | - Leen Rigouts
- Mycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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Pinhata JMW, Brandao AP, Gallo JF, Oliveira RSD, Ferrazoli L. GenoType MTBDRsl for detection of second-line drugs and ethambutol resistance in multidrug-resistant Mycobacterium tuberculosis isolates at a high-throughput laboratory. Diagn Microbiol Infect Dis 2023; 105:115856. [PMID: 36446302 DOI: 10.1016/j.diagmicrobio.2022.115856] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 10/13/2022] [Accepted: 11/04/2022] [Indexed: 11/09/2022]
Abstract
We assessed the performance of MTBDRsl for detection of resistance to fluoroquinolones, aminoglycosides/cyclic peptides, and ethambutol compared to BACTEC MGIT 960 by subjecting simultaneously to both tests 385 phenotypically multidrug-resistant-Mycobacterium tuberculosis isolates from Sao Paulo, Brazil. Discordances were resolved by Sanger sequencing. MTBDRsl correctly detected 99.7% of the multidrug-resistant isolates, 87.8% of the pre-XDR, and 73.9% of the XDR. The assay showed sensitivity of 86.4%, 100%, 85.2% and 76.4% for fluoroquinolones, amikacin/kanamycin, capreomycin and ethambutol, respectively. Specificity was 100% for fluoroquinolones and aminoglycosides/cyclic peptides, and 93.6% for ethambutol. Most fluoroquinolone-discordances were due to mutations in genome regions not targeted by the MTBDRsl v. 1.0: gyrA_H70R and gyrB_R446C, D461N, D449V, and N488D. Capreomycin-resistant isolates with wild-type rrs results on MTBDRsl presented tlyA mutations. MTBDRsl presented good performance for detecting resistance to second-line drugs and ethambutol in clinical isolates. In our setting, multidrug-resistant. isolates presented mutations not targeted by the molecular assay.
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Affiliation(s)
- Juliana Maira Watanabe Pinhata
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), São Paulo, São Paulo, Brazil.
| | - Angela Pires Brandao
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), São Paulo, São Paulo, Brazil; Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Rio de Janeiro, Brazil
| | - Juliana Failde Gallo
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), São Paulo, São Paulo, Brazil
| | - Rosângela Siqueira de Oliveira
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), São Paulo, São Paulo, Brazil
| | - Lucilaine Ferrazoli
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), São Paulo, São Paulo, Brazil
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11
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Alffenaar JWC, Stocker SL, Forsman LD, Garcia-Prats A, Heysell SK, Aarnoutse RE, Akkerman OW, Aleksa A, van Altena R, de Oñata WA, Bhavani PK, Van't Boveneind-Vrubleuskaya N, Carvalho ACC, Centis R, Chakaya JM, Cirillo DM, Cho JG, D Ambrosio L, Dalcolmo MP, Denti P, Dheda K, Fox GJ, Hesseling AC, Kim HY, Köser CU, Marais BJ, Margineanu I, Märtson AG, Torrico MM, Nataprawira HM, Ong CWM, Otto-Knapp R, Peloquin CA, Silva DR, Ruslami R, Santoso P, Savic RM, Singla R, Svensson EM, Skrahina A, van Soolingen D, Srivastava S, Tadolini M, Tiberi S, Thomas TA, Udwadia ZF, Vu DH, Zhang W, Mpagama SG, Schön T, Migliori GB. Clinical standards for the dosing and management of TB drugs. Int J Tuberc Lung Dis 2022; 26:483-499. [PMID: 35650702 PMCID: PMC9165737 DOI: 10.5588/ijtld.22.0188] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 04/04/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND: Optimal drug dosing is important to ensure adequate response to treatment, prevent development of drug resistance and reduce drug toxicity. The aim of these clinical standards is to provide guidance on 'best practice´ for dosing and management of TB drugs.METHODS: A panel of 57 global experts in the fields of microbiology, pharmacology and TB care were identified; 51 participated in a Delphi process. A 5-point Likert scale was used to score draft standards. The final document represents the broad consensus and was approved by all participants.RESULTS: Six clinical standards were defined: Standard 1, defining the most appropriate initial dose for TB treatment; Standard 2, identifying patients who may be at risk of sub-optimal drug exposure; Standard 3, identifying patients at risk of developing drug-related toxicity and how best to manage this risk; Standard 4, identifying patients who can benefit from therapeutic drug monitoring (TDM); Standard 5, highlighting education and counselling that should be provided to people initiating TB treatment; and Standard 6, providing essential education for healthcare professionals. In addition, consensus research priorities were identified.CONCLUSION: This is the first consensus-based Clinical Standards for the dosing and management of TB drugs to guide clinicians and programme managers in planning and implementation of locally appropriate measures for optimal person-centred treatment to improve patient care.
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Affiliation(s)
- J W C Alffenaar
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia
| | - S L Stocker
- School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Department of Clinical Pharmacology and Toxicology, St Vincent´s Hospital, Sydney, NSW, Australia, St Vincent´s Clinical Campus, University of NSW, Kensington, NSW, Australia
| | - L Davies Forsman
- Division of Infectious Diseases, Department of Medicine, Karolinska Institutet, Solna, Sweden, Department of Infectious Diseases Karolinska University Hospital, Solna, Sweden
| | - A Garcia-Prats
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa, Department of Pediatrics, University of Wisconsin, Madison, WI
| | - S K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - R E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences & Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - O W Akkerman
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases and Tuberculosis, Groningen, The Netherlands, University of Groningen, University Medical Center Groningen, Tuberculosis Center Beatrixoord, Haren, The Netherlands
| | - A Aleksa
- Educational Institution "Grodno State Medical University", Grodno, Belarus
| | - R van Altena
- Asian Harm Reduction Network (AHRN) and Medical Action Myanmar (MAM) in Yangon, Myanmar
| | - W Arrazola de Oñata
- Belgian Scientific Institute for Public Health (Belgian Lung and Tuberculosis Association), Brussels, Belgium
| | - P K Bhavani
- Indian Council of Medical Research-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | - N Van't Boveneind-Vrubleuskaya
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands, Department of Public Health TB Control, Metropolitan Public Health Services, The Hague, The Netherlands
| | - A C C Carvalho
- Laboratório de Inovações em Terapias, Ensino e Bioprodutos (LITEB), Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - R Centis
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Tradate, Italy
| | - J M Chakaya
- Department of Medicine, Therapeutics and Dermatology, Kenyatta University, Nairobi, Kenya, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - D M Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - J G Cho
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia, Parramatta Chest Clinic, Parramatta, NSW, Australia
| | - L D Ambrosio
- Public Health Consulting Group, Lugano, Switzerland
| | - M P Dalcolmo
- Reference Center Hélio Fraga, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - P Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - K Dheda
- Centre for Lung Infection and Immunity, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Cape Town, South Africa, University of Cape Town Lung Institute & South African MRC Centre for the Study of Antimicrobial Resistance, Cape Town, South Africa, Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK
| | - G J Fox
- Faculty of Medicine and Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia, Woolcock Institute of Medical Research, Glebe, NSW, Australia
| | - A C Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa
| | - H Y Kim
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia
| | - C U Köser
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - B J Marais
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, Department of Infectious Diseases and Microbiology, The Children´s Hospital at Westmead, Westmead, NSW, Australia
| | - I Margineanu
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A G Märtson
- Antimicrobial Pharmacodynamics and Therapeutics, Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - M Munoz Torrico
- Clínica de Tuberculosis, Instituto Nacional de Enfermedades Respiratorias, Ciudad de México, Mexico
| | - H M Nataprawira
- Division of Paediatric Respirology, Department of Child Health, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin Hospital, Bandung, Indonesia
| | - C W M Ong
- Infectious Disease Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore, Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore
| | - R Otto-Knapp
- German Central Committee against Tuberculosis (DZK), Berlin, Germany
| | - C A Peloquin
- Infectious Disease Pharmacokinetics Laboratory, Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - D R Silva
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - R Ruslami
- TB/HIV Research Centre, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia, Department of Biomedical Sciences, Division of Pharmacology and Therapy, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - P Santoso
- Division of Respirology and Critical Care, Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran/Hasan Sadikin General Hospital, Bandung, Indonesia
| | - R M Savic
- Department of Bioengineering and Therapeutic Sciences, Division of Pulmonary and Critical Care Medicine, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, CA, USA
| | - R Singla
- Department of TB & Respiratory Diseases, National Institute of TB & Respiratory Diseases, New Delhi, India
| | - E M Svensson
- Department of Pharmacy, Radboud Institute for Health Sciences & Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands, Department of Pharmacy, Uppsala University, Uppsala, Sweden
| | - A Skrahina
- The Republican Research and Practical Centre for Pulmonology and TB, Minsk, Belarus
| | - D van Soolingen
- National Institute for Public Health and the Environment, TB Reference Laboratory (RIVM), Bilthoven, The Netherlands
| | - S Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Center at Tyler, Tyler, TX, USA
| | - M Tadolini
- Infectious Diseases Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy, Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - S Tiberi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - T A Thomas
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Z F Udwadia
- P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - D H Vu
- National Drug Information and Adverse Drug Reaction Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam
| | - W Zhang
- Department of Infectious Diseases, National Medical Center for Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People´s Republic of China
| | - S G Mpagama
- Kilimanjaro Christian Medical University College, Moshi, United Republic of Tanzania, Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, United Republic of Tanzania
| | - T Schön
- Department of Infectious Diseases, Linköping University Hospital, Linköping, Sweden, Institute of Biomedical and Clinical Sciences, Division of Infection and Inflammation, Linköping University, Linköping, Sweden, Department of Infectious Diseases, Kalmar County Hospital, Kalmar, Linköping University, Linköping, Sweden
| | - G B Migliori
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Tradate, Italy
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Georghiou SB, Rodwell TC, Korobitsyn A, Abbadi SH, Ajbani K, Alffenaar JW, Alland D, Alvarez N, Andres S, Ardizzoni E, Aubry A, Baldan R, Ballif M, Barilar I, Böttger EC, Chakravorty S, Claxton PM, Cirillo DM, Comas I, Coulter C, Denkinger CM, Derendinger B, Desmond EP, de Steenwinkel JE, Dheda K, Diacon AH, Dolinger DL, Dooley KE, Egger M, Ehsani S, Farhat MR, Fattorini L, Finci I, Le Ray LF, Furió V, Groenheit R, Gumbo T, Heysell SK, Hillemann D, Hoffmann H, Hsueh PR, Hu Y, Huang H, Hussain A, Ismail F, Izumi K, Jagielski T, Johnson JL, Kambli P, Kaniga K, Eranga Karunaratne G, Sharma MK, Keller PM, Kelly EC, Kholina M, Kohli M, Kranzer K, Laurenson IF, Limberis J, Grace Lin SY, Liu Y, López-Gavín A, Lyander A, Machado D, Martinez E, Masood F, Mitarai S, Mvelase NR, Niemann S, Nikolayevskyy V, Maurer FP, Merker M, Miotto P, Omar SV, Otto-Knapp R, Palaci M, Palacios Gutiérrez JJ, Peacock SJ, Peloquin CA, Perera J, Pierre-Audigier C, Pholwat S, Posey JE, Prammananan T, Rigouts L, Robledo J, Rockwood N, Rodrigues C, Salfinger M, Schechter MC, Seifert M, Sengstake S, Shinnick T, Shubladze N, Sintchenko V, Sirgel F, Somasundaram S, Sterling TR, Spitaleri A, Streicher E, Supply P, Svensson E, Tagliani E, Tahseen S, Takaki A, Theron G, Torrea G, Van Deun A, van Ingen J, Van Rie A, van Soolingen D, Vargas Jr R, Venter A, Veziris N, Villellas C, Viveiros M, Warren R, Wen S, Werngren J, Wilkinson RJ, Yang C, Yılmaz FF, Zhang T, Zimenkov D, Ismail N, Köser CU, Schön T. Updating the approaches to define susceptibility and resistance to anti-tuberculosis agents: implications for diagnosis and treatment. Eur Respir J 2022; 59:2200166. [PMID: 35422426 PMCID: PMC9059840 DOI: 10.1183/13993003.00166-2022] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/05/2022] [Indexed: 11/07/2022]
Abstract
Approximately 85 000 deaths globally in 2019 were due to drug-resistant tuberculosis (TB), which corresponds to 7% of global deaths attributable to bacterial antimicrobial resistance [1]. Yet concerns have been mounting that drug-resistant TB was being underestimated because the approaches to define susceptibility and resistance to anti-TB agents had not kept up with those used for other major bacterial pathogens [2–9]. Here, we outline the recent, evidence-based initiatives spearheaded by the World Health Organization (WHO) and others to update breakpoints (traditionally referred to as critical concentrations (CCs)) that are used for phenotypic antimicrobial susceptibility testing (AST), also called drug susceptibility testing in the TB literature. Inappropriately high breakpoints have resulted in systematic false-susceptible AST results to anti-TB drugs. MIC, PK/PD and clinical outcome data should be combined when setting breakpoints to minimise the emergence and spread of antimicrobial resistance. https://bit.ly/3i43wb6
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Kumar GS, Sobhia ME, Ghosh K. Binding affinity analysis of quinolone and dione inhibitors with Mtb-DNA gyrase emphasising the crystal water molecular transfer energy to the protein–ligand association. MOLECULAR SIMULATION 2022. [DOI: 10.1080/08927022.2022.2042530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- G. Siva Kumar
- Department of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), S.A.S. Nagar, Punjab, India
| | - M. Elizabeth Sobhia
- Department of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), S.A.S. Nagar, Punjab, India
| | - Ketan Ghosh
- Department of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), S.A.S. Nagar, Punjab, India
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Bateson A, Ortiz Canseco J, McHugh TD, Witney AA, Feuerriegel S, Merker M, Kohl TA, Utpatel C, Niemann S, Andres S, Kranzer K, Maurer FP, Ghodousi A, Borroni E, Cirillo DM, Wijkander M, Toro JC, Groenheit R, Werngren J, Machado D, Viveiros M, Warren RM, Sirgel F, Dippenaar A, Köser CU, Sun E, Timm J. OUP accepted manuscript. J Antimicrob Chemother 2022; 77:1685-1693. [PMID: 35260883 PMCID: PMC9155602 DOI: 10.1093/jac/dkac070] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 02/15/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives To develop a robust phenotypic antimicrobial susceptibility testing (AST) method with a correctly set breakpoint for pretomanid (Pa), the most recently approved anti-tuberculosis drug. Methods The Becton Dickinson Mycobacterial Growth Indicator Tube™ (MGIT) system was used at six laboratories to determine the MICs of a phylogenetically diverse collection of 356 Mycobacterium tuberculosis complex (MTBC) strains to establish the epidemiological cut-off value for pretomanid. MICs were correlated with WGS data to study the genetic basis of differences in the susceptibility to pretomanid. Results We observed ancient differences in the susceptibility to pretomanid among various members of MTBC. Most notably, lineage 1 of M. tuberculosis, which is estimated to account for 28% of tuberculosis cases globally, was less susceptible than lineages 2, 3, 4 and 7 of M. tuberculosis, resulting in a 99th percentile of 2 mg/L for lineage 1 compared with 0.5 mg/L for the remaining M. tuberculosis lineages. Moreover, we observed that higher MICs (≥8 mg/L), which probably confer resistance, had recently evolved independently in six different M. tuberculosis strains. Unlike the aforementioned ancient differences in susceptibility, these recent differences were likely caused by mutations in the known pretomanid resistance genes. Conclusions In light of these findings, the provisional critical concentration of 1 mg/L for MGIT set by EMA must be re-evaluated. More broadly, these findings underline the importance of considering the global diversity of MTBC during clinical development of drugs and when defining breakpoints for AST.
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Affiliation(s)
- Anna Bateson
- Centre for Clinical Microbiology, University College London, Royal Free Campus, London, UK
| | - Julio Ortiz Canseco
- Centre for Clinical Microbiology, University College London, Royal Free Campus, London, UK
| | - Timothy D. McHugh
- Centre for Clinical Microbiology, University College London, Royal Free Campus, London, UK
| | - Adam A. Witney
- Institute of Infection and Immunity, St George’s, University of London, London, UK
| | - Silke Feuerriegel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
| | - Matthias Merker
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- Evolution of the Resistome, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Germany
| | - Thomas A. Kohl
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Germany
| | - Christian Utpatel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Germany
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Germany
| | - Sönke Andres
- National and WHO Supranational Reference Laboratory for Tuberculosis, Research Center Borstel, Borstel, Germany
| | - Katharina Kranzer
- Department of Clinical Research, Faculty of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
- Biomedical Research & Training Institute, Harare, Zimbabwe
- Division of Infectious & Tropical Medicine, Medical Centre of the University of Munich, Munich, Germany
| | - Florian P Maurer
- German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Germany
- National and WHO Supranational Reference Laboratory for Tuberculosis, Research Center Borstel, Borstel, Germany
- Institute for Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Arash Ghodousi
- IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | | | - Daniela Maria Cirillo
- IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Maria Wijkander
- Supranational Reference Laboratory for Tuberculosis, Public Health Agency of Sweden, Solna, Sweden
| | - Juan C. Toro
- Supranational Reference Laboratory for Tuberculosis, Public Health Agency of Sweden, Solna, Sweden
| | - Ramona Groenheit
- Supranational Reference Laboratory for Tuberculosis, Public Health Agency of Sweden, Solna, Sweden
| | - Jim Werngren
- Supranational Reference Laboratory for Tuberculosis, Public Health Agency of Sweden, Solna, Sweden
| | - Diana Machado
- Unidade de Microbiologia Médica, Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Miguel Viveiros
- Unidade de Microbiologia Médica, Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Robin M. Warren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research/South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Frederick Sirgel
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research/South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Anzaan Dippenaar
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research/South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Tuberculosis Omics Research Consortium, Family Medicine and Population Health, Institute of Global Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
| | | | | | - Juliano Timm
- TB Alliance, New York City, NY, USA
- Corresponding author. E-mail:
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Nie Q, Tao L, Li Y, Chen N, Chen H, Zhou Y, Wang Y, Chen H, Tang Q, Wang X, Huang C, Yang C. High-dose gatifloxacin-based shorter treatment regimens for MDR/RR-TB. Int J Infect Dis 2021; 115:142-148. [PMID: 34861398 DOI: 10.1016/j.ijid.2021.11.037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/23/2021] [Accepted: 11/24/2021] [Indexed: 01/18/2023] Open
Abstract
SETTING The shorter treatment regimen (STR) for multidrug- or rifampicin-resistant tuberculosis (MDR/RR-TB) has achieved successful outcomes in many countries. However, there are few studies on high-dose gatifloxacin-based STR with adverse drug reactions (ADRs) and management. DESIGN A prospective observational study was conducted with MDR/RR-TB patients who were treated with a standardized 9 or 12 - month regimen: including gatifloxacin (Gfx), clofazimine (Cfz), ethambutol (EMB), and pyrazinamide (PZA), and supplemented by amikacin (Am), isoniazid (INH), and prothionamide (Pto) during an intensive phase of 4 or 6 - month. Monitored ADRs monthly until treatment completion and then followed up every three months for one year. RESULTS Among the 42 eligible patients, 35 (83.3%) completed treatment successfully, 1 (2.4%) lost to follow-up (LTFU), and 6 (14.3%) failed due to ADRs, with no death. The most important ADR was drug-induced liver damage, which occurred in 24 out of 42 (57.1%) patients and resulted in 4 (9.5%) failed treatments and 4 (9.5%) adjusted treatments. QT interval prolongation occurred in 17 out of 42 (40.5%) patients, 9 (21.4%) of them with the corrected QT interval according to Fridericia (QTcF) > 500 ms resulting in 7 (16.7%) adjusted treatments. CONCLUSIONS This study confirmed the effectiveness of the high-dose gatifloxacin-based STR but severe ADRs, especially hepatotoxicity and QT interval prolongation should never be ignored.
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Affiliation(s)
- Qi Nie
- College of Life Sciences and Health, Wuhan University of Science and Technology, Hubei, China; Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Hubei, China
| | - Lixuan Tao
- Emergency Department, Puren Hospital Affiliated to Wuhan University of science and technology, Hubei, China
| | - Yingying Li
- Wuhan Jinyintan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, China
| | - Nanshan Chen
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Hubei, China
| | - Hua Chen
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Hubei, China
| | - Yong Zhou
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Hubei, China
| | - Yanqiu Wang
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Hubei, China
| | - Huidong Chen
- Department of Interventional therapy, Wuhan Jinyintan Hospital, Hubei, China
| | - Qiuping Tang
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Hubei, China
| | - Xianguang Wang
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Hubei, China.
| | - Chaolin Huang
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Hubei, China.
| | - Chengfeng Yang
- Hubei Provincial Center for Disease Control and Prevention, China.
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Mu J, Liu Z, Zhang C, Wang C, Du W, Lin H, Li K, Song J, Che N, Liu H. Performance of the MeltPro MTB Assays in the Diagnosis of Drug-Resistant Tuberculosis Using Formalin-Fixed, Paraffin-Embedded Tissues. Am J Clin Pathol 2021; 156:34-41. [PMID: 33438007 DOI: 10.1093/ajcp/aqaa203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES The MeltPro MTB assays for detection of resistance to antituberculosis (TB) drugs perform well in genotypic drug susceptibility testing (DST) of clinical samples, but their effectiveness with formalin-fixed, paraffin-embedded (FFPE) tissues is unknown. METHODS FFPE tissues were obtained from 334 patients with TB. Susceptibility to rifampicin (RIF), isoniazid (INH), and fluoroquinolones was examined using the MeltPro MTB assays, with Xpert MTB/RIF (Xpert) and/or phenotypic DST (pDST) results as references. Samples with discordant results were analyzed by multiplex polymerase chain reaction-targeted amplicon sequencing (MTA-seq). RESULTS With pDST as the reference, the MeltPro MTB assays sensitivity for RIF, INH, levofloxacin (LVX), and moxifloxacin (MXF) was 95.00%, 96.00%, 100%, and 100%, respectively, and the specificity was 95.15%, 95.92%, 94.69%, and 89.92%, respectively. Concordance was 99.08% between the MeltPro MTB and Xpert (κ = 0.956) for RIF and 95.12% (κ = 0.834), 95.93% (κ = 0.880), 95.12% (κ = 0.744), and 90.24% (κ = 0.367) between the MeltPro MTB and pDST for RIF, INH, LVX, and MXF, respectively. MTA-seq confirmed the discordancy between the MeltPro MTB and pDST for 26 (89.66%) of 29 samples. CONCLUSIONS The MeltPro MTB assays rapidly and efficiently predict Mycobacterium tuberculosis resistance to the main first- and second-line anti-TB drugs in FFPE tissues.
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Affiliation(s)
- Jing Mu
- Department of Pathology, Key Laboratory of Head and Neck Molecular Diagnosis Pathology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
- Department of Pathology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Zichen Liu
- Department of Pathology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Chen Zhang
- Department of Pathology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Chongli Wang
- Department of Pathology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Weili Du
- Department of Pathology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Haifeng Lin
- Department of Pathology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Kun Li
- Department of Pathology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Jing Song
- Department of Pathology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Nanying Che
- Department of Pathology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Honggang Liu
- Department of Pathology, Key Laboratory of Head and Neck Molecular Diagnosis Pathology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
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Thampy A, Ninan MM, Michael JS, James P, Rupali P. Clinical implications of high-risk mutations in drug resistant tuberculosis (DR-TB): An observational cohort study. Indian J Med Microbiol 2021; 39:534-536. [PMID: 34127320 DOI: 10.1016/j.ijmmb.2021.05.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 05/23/2021] [Accepted: 05/27/2021] [Indexed: 11/17/2022]
Abstract
Genotype MTBDRsl [SL-LPA] was endorsed as a tool for early diagnosis of fluoroquinolones (FQ) and injectable second-line TB drugs (SLID) resistance in DR-TB. Correlation between specific genetic mutations using this tool and clinical outcome has not hitherto been studied in India. We conducted a observational cohort study to evaluate the predictive value of specific mutations for bad outcome. Our study identified 15 different types of gyrA mutations, commonest being A90V and D94G. Poor outcome was associated with mutations D94G and D94N/D94Y.Most XDR-TB patients harbored the high risk mutation of A1401G. Hence information of specific mutations using SL-LPA can help prognosticate and design appropriate treatment regimens.
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Affiliation(s)
- Anupa Thampy
- Department of Infectious Diseases and Research Training Centre, Christian Medical College, Vellore, Tamil Nadu, India.
| | - Marilyn M Ninan
- Department of Microbiology, Christian Medical College, Vellore, Tamil Nadu, India.
| | - Joy S Michael
- Department of Microbiology, Christian Medical College, Vellore, Tamil Nadu, India.
| | - Prince James
- Department of Respiratory Medicine, Christian Medical College, Vellore, Tamil Nadu, India.
| | - Priscilla Rupali
- Department of Infectious Diseases and Research Training Centre, Christian Medical College, Vellore, Tamil Nadu, India.
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Maruri F, Guo Y, Blackman A, van der Heijden YF, Rebeiro PF, Sterling TR. Resistance-Conferring Mutations on Whole-Genome Sequencing of Fluoroquinolone-resistant and -Susceptible Mycobacterium tuberculosis Isolates: A Proposed Threshold for Identifying Resistance. Clin Infect Dis 2021; 72:1910-1918. [PMID: 32348473 PMCID: PMC8315129 DOI: 10.1093/cid/ciaa496] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 04/24/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Fluoroquinolone resistance in Mycobacterium tuberculosis (Mtb) is conferred by DNA gyrase mutations, but not all fluoroquinolone-resistant Mtb isolates have mutations detected. The optimal allele frequency threshold to identify resistance-conferring mutations by whole-genome sequencing is unknown. METHODS Phenotypically ofloxacin-resistant and lineage-matched ofloxacin-susceptible Mtb isolates underwent whole-genome sequencing at an average coverage depth of 868 reads. Polymorphisms within the quinolone-resistance-determining region (QRDR) of gyrA and gyrB were identified. The allele frequency threshold using the Genome Analysis Toolkit pipeline was ~8%; allele-level data identified the predominant variant allele frequency and mutational burden (ie, sum of all variant allele frequencies in the QRDR) in gyrA, gyrB, and gyrA + gyrB for each isolate. Receiver operating characteristic (ROC) curves assessed the optimal measure of allele frequency and potential thresholds for identifying phenotypically resistant isolates. RESULTS Of 42 ofloxacin-resistant Mtb isolates, area under the ROC curve (AUC) was highest for predominant variant allele frequency, so that measure was used to evaluate optimal mutation detection thresholds. AUCs for 8%, 2.5%, and 0.8% thresholds were 0.8452, 0.9286, and 0.9069, respectively. Sensitivity and specificity were 69% and 100% for 8%, 86% and 100% for 2.5%, 91% and 91% for 0.8%. The sensitivity of the 2.5% and 0.8% thresholds were significantly higher than the 8% threshold (P = .016 and .004, respectively) but not significantly different between one another (P = .5). CONCLUSIONS A predominant mutation allele frequency threshold of 2.5% had the highest AUC for detecting DNA gyrase mutations that confer ofloxacin resistance, and was therefore the optimal threshold.
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Affiliation(s)
- Fernanda Maruri
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Vanderbilt Tuberculosis Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Yan Guo
- Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Amondrea Blackman
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Vanderbilt Tuberculosis Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Yuri F van der Heijden
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Vanderbilt Tuberculosis Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- The Aurum Institute, Johannesburg, South Africa
| | - Peter F Rebeiro
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Vanderbilt Tuberculosis Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Timothy R Sterling
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- Vanderbilt Tuberculosis Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
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Kendall EA, Malhotra S, Cook-Scalise S, Dowdy DW, Denkinger CM. Clinical Impact of Rapid Drug Susceptibility Testing to Accompany Fluoroquinolone-Containing Universal Tuberculosis Regimens: A Markov Model. Clin Infect Dis 2021; 71:2889-2896. [PMID: 31813958 DOI: 10.1093/cid/ciz1179] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 12/06/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND To appropriately treat tuberculosis (TB) with regimens that combine novel and older drugs, evidence-based, context-specific strategies for drug-susceptibility testing (DST) will be required. METHODS We created a Markov state-transition model of 100 000 adults with TB receiving a novel, fluoroquinolone (FQ)-containing regimen. We estimated clinical outcomes and resource utilization with no FQ-DST, universal FQ-DST, or FQ-DST only for patients with rifampin-resistant TB ("targeted FQ-DST"). We considered scenarios of stronger (South Africa) and weaker (Southeast Asia) correlation of fluoroquinolone resistance with rifampin resistance, with sensitivity analysis for other setting and regimen characteristics. RESULTS Relative to no FQ-DST, targeted FQ-DST increased cure of FQ-resistant TB by 7.5% (interquartile range [IQR], 6.7%-9.2%) in South Africa and 1.7% (IQR, 0.7%-2.5%) in Southeast Asia. However, rare FQ resistance among the more prevalent rifampin-susceptible TB accounted for 50% of FQ-resistant TB in South Africa and 83% in Southeast Asia. As a result, universal FQ-DST further increased cure of FQ-resistant TB by 3.4% (IQR, 2.3%-5.4%) in South Africa and 5.8% (IQR, 5.1%-6.3%) in Southeast Asia. With targeted FQ-DST, 1 additional patient was cured per 50 (IQR, 42-70) tests in South Africa and 44 (IQR, 37-51) in Southeast Asia. When expanding from targeted to universal FQ-DST, 1 additional cure required 3500 (IQR, 2300-5500) tests in South Africa and 410 (IQR, 370-450) in Southeast Asia. CONCLUSIONS FQ-DST improved patient outcomes and was particularly important for high-risk patient groups and less robust regimens. A universal strategy was favored in generalized epidemics of fluoroquinolone resistance.
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Affiliation(s)
- Emily A Kendall
- Division of Infectious Diseases and Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Shelly Malhotra
- Global Alliance for Tuberculosis Drug Development, New York, New York, USA
| | - Sarah Cook-Scalise
- Global Alliance for Tuberculosis Drug Development, New York, New York, USA
| | - David W Dowdy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Claudia M Denkinger
- Division of Tropical Medicine, Center of Infectious Disease, Heidelberg University, Heidelberg, Germany.,Foundation for Innovative New Diagnostics, Geneva, Switzerland
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20
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Al-Mutairi NM, Ahmad S, Mokaddas E. Increasing prevalence of resistance to second-line drugs among multidrug-resistant Mycobacterium tuberculosis isolates in Kuwait. Sci Rep 2021; 11:7765. [PMID: 33833390 PMCID: PMC8032671 DOI: 10.1038/s41598-021-87516-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 03/30/2021] [Indexed: 11/13/2022] Open
Abstract
Molecular methods detect genetic mutations associated with drug resistance. This study detected resistance-conferring mutations in gyrA/gyrB for fluoroquinolones and rrs/eis genes for second-line injectable drugs (SLIDs) among multidrug-resistant Mycobacterium tuberculosis (MDR-TB) isolates in Kuwait. Fifty pansusceptible M. tuberculosis and 102 MDR-TB strains were tested. Phenotypic susceptibility testing was performed by MGIT 960 system using SIRE drug kit. GenoType MTBDRsl version 1 (gMTBDRslv1) and GenoType MTBDRsl version 2 (gMTBDRslv2) tests were used for mutation detection. Results were validated by PCR-sequencing of respective genes. Fingerprinting was performed by spoligotyping. No mutations were detected in pansusceptible isolates. gMTBDRslv1 detected gyrA mutations in 12 and rrs mutations in 8 MDR-TB isolates. gMTBDRsl2 additionally detected gyrB mutations in 2 and eis mutation in 1 isolate. Mutations in both gyrA/gyrB and rrs/eis were not detected. gMTBDRslv1 also detected ethambutol resistance-conferring embB mutations in 59 isolates. Although XDR-TB was not detected, frequency of resistance-conferring mutations for fluoroquinolones or SLIDs was significantly higher among isolates collected during 2013–2019 versus 2006–2012. Application of both tests is warranted for proper management of MDR-TB patients in Kuwait as gMTBDRslv2 detected resistance to fluoroquinolones and/or SLIDs in 3 additional isolates while gMTBDRslv1 additionally detected resistance to ethambutol in 58% of MDR-TB isolates.
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Affiliation(s)
- Noura M Al-Mutairi
- Department of Microbiology, Faculty of Medicine, Health Sciences Centre, Kuwait University, P. O. Box 24923, 13110, Safat, Kuwait
| | - Suhail Ahmad
- Department of Microbiology, Faculty of Medicine, Health Sciences Centre, Kuwait University, P. O. Box 24923, 13110, Safat, Kuwait.
| | - Eiman Mokaddas
- Department of Microbiology, Faculty of Medicine, Health Sciences Centre, Kuwait University, P. O. Box 24923, 13110, Safat, Kuwait.,Kuwait National TB Control Laboratory, Shuwaikh, Kuwait
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21
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Xpert MTB/XDR: a 10-Color Reflex Assay Suitable for Point-of-Care Settings To Detect Isoniazid, Fluoroquinolone, and Second-Line-Injectable-Drug Resistance Directly from Mycobacterium tuberculosis-Positive Sputum. J Clin Microbiol 2021; 59:JCM.02314-20. [PMID: 33298611 DOI: 10.1128/jcm.02314-20] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 11/22/2020] [Indexed: 11/20/2022] Open
Abstract
We describe the design, development, analytical performance, and a limited clinical evaluation of the 10-color Xpert MTB/XDR assay (CE-IVD only, not for sale in the United States). This assay is intended as a reflex test to detect resistance to isoniazid (INH), fluoroquinolones (FLQ), ethionamide (ETH), and second-line injectable drugs (SLIDs) in unprocessed sputum samples and concentrated sputum sediments which are positive for Mycobacterium tuberculosis The Xpert MTB/XDR assay simultaneously amplifies eight genes and promoter regions in M. tuberculosis and analyzes melting temperatures (Tm s) using sloppy molecular beacon (SMB) probes to identify mutations associated with INH, FLQ, ETH, and SLID resistance. Results can be obtained in under 90 min using 10-color GeneXpert modules. The assay can differentiate low- versus high-level resistance to INH and FLQ as well as cross-resistance versus individual resistance to SLIDs by identifying mutation-specific Tm s or Tm patterns generated by the SMB probes. The assay has a limit of detection comparable to that of the Xpert MTB/RIF assay and successfully detected 16 clinically significant mutations in a challenge set of clinical isolate DNA. In a clinical study performed at two sites with 100 sputum and 214 clinical isolates, the assay showed a sensitivity of 94% to 100% and a specificity of 100% for all drugs except for ETH compared to that of sequencing. The sensitivity and specificity were in the same ranges as those of phenotypic drug-susceptibility testing. Used in combination with a primary tuberculosis diagnostic test, this assay should expand the capacity for detection of drug-resistant tuberculosis near the point of care.
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22
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Drug resistance gene mutations and treatment outcomes in MDR-TB: A prospective study in Eastern China. PLoS Negl Trop Dis 2021; 15:e0009068. [PMID: 33471794 PMCID: PMC7850501 DOI: 10.1371/journal.pntd.0009068] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 02/01/2021] [Accepted: 12/12/2020] [Indexed: 01/28/2023] Open
Abstract
Background Multidrug-resistant tuberculosis (MDR-TB) poses a serious challenge to TB control. It is of great value to search for drug resistance mutation sites and explore the roles that they play in the diagnosis and prognosis of MDR-TB. Methods We consecutively enrolled MDR-TB patients from five cities in Jiangsu Province, China, between January 2013 and December 2014. Drug susceptibility tests of rifampin, isoniazid, ofloxacin, and kanamycin were routinely performed by proportion methods on Lowenstein–Jensen (LJ) medium. Drug resistance-related genes were sequenced, and the consistency of genetic mutations and phenotypic resistance was compared. The association between mutations and treatment outcomes was expressed as odds ratios (ORs) and 95% confidence intervals (CIs). Results Among 87 MDR-TB patients, 71 with treatment outcomes were involved in the analysis. The proportion of successful treatment was 50.7% (36/71). The rpoB gene exhibited the highest mutation rate (93.0%) followed by katG (70.4%), pncA (33.8%), gyrA (29.6%), eis (15.5%), rrs (12.7%), gyrB (9.9%) and rpsA (4.2%). Multivariable analysis demonstrated that patients with pncA gene mutations (adjusted OR: 19.69; 95% CI: 2.43–159.33), advanced age (adjusted OR: 13.53; 95% CI: 1.46–124.95), and nonstandard treatment (adjusted OR: 7.72; 95% CI: 1.35–44.35) had a significantly higher risk of poor treatment outcomes. Conclusions These results suggest that Mycobacterium tuberculosis gene mutations may be related to phenotypic drug susceptibility. The pncA gene mutation along with treatment regimen and age are associated with the treatment outcomes of MDR-TB. Multidrug-resistant tuberculosis (MDR-TB) exacerbates the already serious tuberculosis epidemic, poses a notable threat to global tuberculosis control, and places a considerable burden on developing countries, as treatments for MDR-TB tend to be expensive, of limited efficacy, and toxic. Genotypic determinants of resistance to specific drugs or drug classes offer a rapid and highly specific alternative to phenotypic drug susceptibility testing. Although the relationship between gene mutations and drug resistance has been described previously, the strength of the association of mutations with the treatment outcomes of MDR tuberculosis have not been fully elucidated. The results of our study, which was conducted in a Chinese population, suggest that gene mutations in Mycobacterium tuberculosis may be related to phenotypic drug susceptibility. Mutation of the pncA gene contributes to a poor prognosis and can be applied to predict the treatment outcomes of MDR-TB.
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23
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Ngabonziza JCS, Van Deun A, Migambi P, Niyigena EB, Dusabe T, Habimana YM, Ushizimpumu B, Mulders W, Decroo T, Affolabi D, Supply P, de Jong BC, Rigouts L. Case Report: Dynamics of Acquired Fluoroquinolone Resistance under Standardized Short-Course Treatment of Multidrug-Resistant Tuberculosis. Am J Trop Med Hyg 2020; 103:1443-1446. [PMID: 32618257 PMCID: PMC7543851 DOI: 10.4269/ajtmh.20-0201] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
We report a case of acquired fluoroquinolone (FQ) resistance under short-course multidrug-resistant tuberculosis (MDR-TB) treatment. The patient was managed at Kabutare hospital, one of the two specialized MDR-TB clinics in Rwanda. A low dose of moxifloxacin was used in the first three critical months. Acquired resistance was identified at the ninth month of treatment, 3 months after stopping kanamycin in a strain initially susceptible only to FQs, kanamycin, and clofazimine. Fluoroquinolone resistance was detected in the same month by deep sequencing as routinely used second-line line probe assay and phenotypic drug susceptibility testing. High-dose FQ, preferably gatifloxacin, should be used to maximize effectiveness.
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Affiliation(s)
- Jean Claude Semuto Ngabonziza
- National Reference Laboratory Division, Department of Biomedical Services, Rwanda Biomedical Centre, Kigali, Rwanda.,Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.,Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | | | - Patrick Migambi
- Tuberculosis and Other Respiratory Diseases Division, Institute of HIV/AIDS Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda
| | - Esdras Belamo Niyigena
- National Reference Laboratory Division, Department of Biomedical Services, Rwanda Biomedical Centre, Kigali, Rwanda
| | | | - Yves Mucyo Habimana
- Tuberculosis and Other Respiratory Diseases Division, Institute of HIV/AIDS Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda
| | - Bertin Ushizimpumu
- National Reference Laboratory Division, Department of Biomedical Services, Rwanda Biomedical Centre, Kigali, Rwanda
| | - Wim Mulders
- Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Tom Decroo
- Research Foundation Flanders, Brussels, Belgium.,Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | | | - Philip Supply
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019-UMR9017-CIIL-Centre d'Infection et d'Immunité de Lille, F-59000 Lille, France
| | - Bouke C de Jong
- Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Leen Rigouts
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.,Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
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24
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Li G, Guo Q, Liu H, Wan L, Jiang Y, Li M, Zhao LL, Zhao X, Liu Z, Wan K. Detection of Resistance to Fluoroquinolones and Second-Line Injectable Drugs Among Mycobacterium tuberculosis by a Reverse Dot Blot Hybridization Assay. Infect Drug Resist 2020; 13:4091-4104. [PMID: 33204126 PMCID: PMC7666996 DOI: 10.2147/idr.s270209] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 10/07/2020] [Indexed: 01/23/2023] Open
Abstract
Background Reliable and timely determination of second-line drug resistance is essential for early initiation effective anti-tubercular treatment among multi-drug resistant (MDR) patients and blocking the spread of MDR and extensively drug-resistant tuberculosis. Molecular methods have the potency to provide accurate and rapid drug susceptibility results. We aimed to establish and evaluate the accuracy of a reverse dot blot hybridization (RDBH) assay to simultaneously detect the resistance of fluoroquinolones (FQs), kanamycin (KN), amikacin (AMK), capreomycin (CPM) and second-line injectable drugs (SLIDs) in Mycobacterium tuberculosis. Methods We established and evaluated the accuracy of the RDBH assay by comparing to the phenotypic drug susceptibility testing (DST) and sequencing in 170 M. tuberculosis, of which 94 and 27 were respectively resistant to ofloxacin (OFX) and SLIDs. Results The results show that, compared to phenotypic DST, the sensitivity and specificity of the RDBH assay for resistance detection were 63.8% and 100.0% for OFX, 60.0% and 100.0% for KN, 61.5% and 98.1% for AMK, 50.0% and 99.3% for CPM, and 55.6% and 100% for SLIDs, respectively; compared to sequencing, the sensitivity and specificity of the RDBH assay were 95.2% and 100.0% for OFX, 93.8% and 100.0% for SLIDs or KN (both based on mutations in rrs 1400 region and eis promoter), and 91.6% and 100.0% for AMK or CPM (both based on mutations in rrs 1400 region), respectively. The turnaround time of the RDBH assay was 7 h for testing 42 samples. Conclusion Our data suggested that compared to sequencing, the RDBH assay could serve as a rapid and reliable method for testing the resistance of M. tuberculosis against OFX and SLIDs, enabling early administration of appropriate treatment regimens among MDR tuberculosis patients.
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Affiliation(s)
- Guilian Li
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, People's Republic of China
| | - Qian Guo
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, People's Republic of China.,Department of Molecular Biology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, People's Republic of China
| | - Haican Liu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, People's Republic of China
| | - Li Wan
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, People's Republic of China
| | - Yi Jiang
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, People's Republic of China
| | - Machao Li
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, People's Republic of China
| | - Li-Li Zhao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, People's Republic of China
| | - Xiuqin Zhao
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, People's Republic of China
| | - Zhiguang Liu
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, People's Republic of China
| | - Kanglin Wan
- State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, People's Republic of China
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25
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Singh PK, Singh U, Jain A. Emergence of Specific gyrA Mutations Associated High-Level Fluoroquinolone-Resistant Mycobacterium tuberculosis among Multidrug-Resistant Tuberculosis Cases in North India. Microb Drug Resist 2020; 27:647-651. [PMID: 32991238 DOI: 10.1089/mdr.2020.0240] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Aim: This study aims to determine the frequency and pattern of gyrA/B mutations in multidrug-resistant (MDR) Mycobacterium tuberculosis (MTB) strains and also to assess the association between different gyrA/B mutations with phenotypic resistance to moxifloxacin (MOX) at clinical breakpoint (CB) drug concentration. Method: A total of 106 clinical MTB isolates carrying gyrA/B mutations were included consecutively. Culture-based MOX susceptibility was tested at CB (1.0 μg/mL) followed by its correlation with gyrA/B mutations using Genotype MTBDRsl assay. The mutations associated with phenotypic resistance were further analyzed on a large dataset of 1,825 MDR tuberculosis (TB) patients. Result: D94G and A90V mutations within gyrA were significantly associated with resistance and susceptible phenotype (p < 0.001), respectively. Of 1,825 MDR patients, gyrA/B mutations were found in 58.8% cases, of which fluoroquinolone (FQ) resistance was concluded among 97.9%, 0.8%, and 1.3% patients due to mutation in gyrA, gyrB, and in both the genes, respectively. D94G alone (45.9%) followed by A90V (21.2%) mutations in gyrA gene was most frequent. Conclusion: Our study showed that MDR-TB has emerged in northern India with additional FQ resistance. Different selection pressure and transmission may result in prevailing accumulation of specific gyrA mutations causing high-level FQ resistance, therefore, current control measures need to be strengthened.
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Affiliation(s)
- Pravin Kumar Singh
- Department of Microbiology, King George's Medical University, Lucknow, India
| | - Urmila Singh
- Department of Microbiology, King George's Medical University, Lucknow, India
| | - Amita Jain
- Department of Microbiology, King George's Medical University, Lucknow, India
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26
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Forsman LD, Jonsson J, Wagrell C, Werngren J, Mansjö M, Wijkander M, Groenheit R, Hammar U, Giske CG, Schön T, Bruchfeld J. Minimum Inhibitory Concentrations of Fluoroquinolones and Pyrazinamide Susceptibility Correlate to Clinical Improvement in Multidrug-resistant Tuberculosis Patients: A Nationwide Swedish Cohort Study Over 2 Decades. Clin Infect Dis 2020; 69:1394-1402. [PMID: 30561569 DOI: 10.1093/cid/ciy1068] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 12/13/2018] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Minimum inhibitory concentration (MIC) testing, unlike routine drug susceptibility testing (DST) at a single critical concentration, quantifies drug resistance. The association of MICs and treatment outcome in multidrug-resistant (MDR)-tuberculosis patients is unclear. Therefore, we correlated MICs of first- and second-line tuberculosis drugs with time to sputum culture conversion (tSCC) and treatment outcome in MDR-tuberculosis patients. METHODS Clinical and demographic data of MDR-tuberculosis patients in Sweden, including DST results, were retrieved from medical records from 1992 to 2014. MIC determinations were performed retrospectively for the stored individual Mycobacterium tuberculosis (Mtb) isolates using broth microdilution in Middlebrook 7H9. We fitted Cox proportional hazard models correlating MICs, DST results, and clinical variables to tSCC and treatment outcome. RESULTS Successful treatment outcome was observed in 83.5% (132/158) of MDR-tuberculosis patients. Increasing MICs of fluoroquinolones, diabetes, and age >40 years were significantly associated with unsuccessful treatment outcome. Patients treated with pyrazinamide (PZA) had a significantly shorter tSCC compared to patients who were not (median difference, 27 days). CONCLUSIONS Increasing MICs of fluoroquinolones were correlated with unsuccessful treatment outcome in MDR-tuberculosis patients. Further studies, including MIC testing and clinical outcome data to define clinical Mtb breakpoints, are warranted. PZA treatment was associated with shorter tSCC, highlighting the importance of PZA DST.
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Affiliation(s)
- Lina Davies Forsman
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.,Department of Infectious Diseases, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Jerker Jonsson
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.,Department of Public Health Analysis and Data Management, Stockholm, Sweden
| | - Charlotta Wagrell
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Jim Werngren
- Department of Microbiology, Public Health Agency of Sweden, Stockholm, Sweden
| | - Mikael Mansjö
- Department of Microbiology, Public Health Agency of Sweden, Stockholm, Sweden
| | - Maria Wijkander
- Department of Microbiology, Public Health Agency of Sweden, Stockholm, Sweden
| | - Ramona Groenheit
- Department of Microbiology, Public Health Agency of Sweden, Stockholm, Sweden
| | - Ulf Hammar
- Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Christian G Giske
- Department of Laboratory Medicine, Division of Clinical Microbiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Thomas Schön
- Department of Clinical and Experimental Medicine, Linköping University, Sweden.,Department of Clinical Microbiology and Infectious Diseases, Kalmar County Hospital, Sweden
| | - Judith Bruchfeld
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.,Department of Infectious Diseases, Karolinska University Hospital Solna, Stockholm, Sweden
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27
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Huo F, Ma Y, Li S, Xue Y, Shang Y, Dong L, Li Y, Pang Y. Specific gyrA Gene Mutations Correlate with High Prevalence of Discordant Levofloxacin Resistance in Mycobacterium tuberculosis Isolates from Beijing, China. J Mol Diagn 2020; 22:1199-1204. [DOI: 10.1016/j.jmoldx.2020.06.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 05/25/2020] [Accepted: 06/18/2020] [Indexed: 11/26/2022] Open
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Initial resistance to companion drugs should not be considered an exclusion criterion for the shorter multidrug-resistant tuberculosis treatment regimen. Int J Infect Dis 2020; 100:357-365. [PMID: 32829049 PMCID: PMC7670168 DOI: 10.1016/j.ijid.2020.08.042] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 08/13/2020] [Accepted: 08/16/2020] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVES We investigated whether companion drug resistance was associated with adverse outcomes of the shorter multidrug-resistant tuberculosis (MDR-TB) treatment regimen in Bangladesh after adjustment for fluoroquinolone resistance. METHODS MDR-TB/rifampicin-resistant tuberculosis patients registered for treatment with a standardized gatifloxacin-based shorter MDR-TB treatment regimen were selected for the study. Drug resistance was determined by the proportion method, gatifloxacin and isoniazid minimum inhibitory concentration testing for selected isolates, and whole-genome sequencing. RESULTS Low-level fluoroquinolone resistance and high-level fluoroquinolone resistance were the most important predictors of adverse outcomes, with pyrazinamide resistance having a significant yet lower impact. In patients with fluoroquinolone-/second-line-injectable-susceptible tuberculosis, non-eligibility for the shorter MDR-TB treatment regimen (initial resistance to pyrazinamide, ethionamide, or ethambutol) was not associated with adverse outcome (adjusted odds ratio 1.01; 95% confidence interval 0.4-2.8). Kanamycin resistance was uncommon (1.3%). Increasing levels of resistance to isoniazid predicted treatment failure, also in a subgroup of patients with high-level fluoroquinolone-resistant tuberculosis. CONCLUSIONS Our results suggest that resistance to companion drugs in the shorter MDR-TB treatment regimen, except kanamycin resistance, is of no clinical importance as long as fluoroquinolone susceptibility is preserved. Hence, contrary to current WHO guidelines, exclusions to the standard regimen are justified only in the case of fluoroquinolone resistance. and possibly kanamycin resistance.
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29
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Gong Z, Wang G, Zeng J, Stojkoska A, Huang H, Xie J. Differential DNA methylomes of clinical MDR, XDR and XXDR Mycobacterium tuberculosis isolates revealed by using single-molecule real-time sequencing. J Drug Target 2020; 29:69-77. [PMID: 32672115 DOI: 10.1080/1061186x.2020.1797049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Post-replicative DNA methylation is essential for diverse biological processes in both eukaryotes and prokaryotes. Mycobacterium tuberculosis (M. tuberculosis), the causative agent of tuberculosis, remains one of the most formidable threats worldwide. Although DNA methylation of M. tuberculosis has been documented, little information is available for clinical drug-resistant M. tuberculosis. Single-molecule real-time (SMRT) sequencing was used to profile the core methylome of three clinical isolates, namely multidrug-resistant (MDR), extensively drug-resistant (XDR) and extremely drug-resistant (XXDR) strains. 3812, 6808 and 6041 DNA methylated sites were identified in MDR-MTB, XDR-MTB and XXDR-MTB genome, respectively. There are two types of methylated motifs, namely N6-methyladenine (m6A) and N4-methylcytosine (m4C). A novel widespread 6 mA methylation motif 5'-CACGCAG-3' was found in XDR-MTB and XXDR-MTB. The methylated genes are involved in multiple cellular processes, especially metabolic enzymes engaged in glucose metabolism, fatty acid and TCA cycle. Many methylated genes are involved in mycobacterial virulence, antibiotic resistance and tolerance. This provided a comprehensive list of methylated genes in drug-resistant clinical isolates and the basis for further functional elucidation.
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Affiliation(s)
- Zhen Gong
- State Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, Key Laboratory of Eco-environments in Three Gorges Reservoir Region, Ministry of Education, School of Life Sciences, Institute of Modern Biopharmaceuticals, Southwest University, Chongqing, China
| | - Guirong Wang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Jie Zeng
- State Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, Key Laboratory of Eco-environments in Three Gorges Reservoir Region, Ministry of Education, School of Life Sciences, Institute of Modern Biopharmaceuticals, Southwest University, Chongqing, China
| | - Andrea Stojkoska
- State Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, Key Laboratory of Eco-environments in Three Gorges Reservoir Region, Ministry of Education, School of Life Sciences, Institute of Modern Biopharmaceuticals, Southwest University, Chongqing, China
| | - Hairong Huang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Jianping Xie
- State Key Laboratory Breeding Base of Eco-Environment and Bio-Resource of the Three Gorges Area, Key Laboratory of Eco-environments in Three Gorges Reservoir Region, Ministry of Education, School of Life Sciences, Institute of Modern Biopharmaceuticals, Southwest University, Chongqing, China
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30
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Kabir S, Tahir Z, Mukhtar N, Sohail M, Saqalein M, Rehman A. Fluoroquinolone resistance and mutational profile of gyrA in pulmonary MDR tuberculosis patients. BMC Pulm Med 2020; 20:138. [PMID: 32393213 PMCID: PMC7216623 DOI: 10.1186/s12890-020-1172-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 04/29/2020] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Fluoroquinolones (FQs) are potential drugs that inhibit DNA synthesis and are used in the treatment of multidrug-resistant tuberculosis (TB) and short-term anti-TB regimens. In recent years, a high proportion of FQ resistance has been observed in Mycobacterium tuberculosis isolates. The development of FQ resistance in multidrug-resistant TB negatively impacts patient treatment outcome and is a serious threat to control of TB. METHODS The study included a total of 562 samples from patients with pulmonary TB that had been on anti-tuberculosis therapy. MTBDRsl assays were performed for the molecular detection of mutations. Sequence analysis was performed for the characterization and mutational profiling of FQ-resistant isolates. RESULTS FQ resistance was observed in 104 samples (18.5%), most of which were previously treated and treatment failure cases. A total of 102 isolates had mutations in DNA gyrase subunit A (gyrA), while mutations in gyrB were observed in only two isolates. Mutational analysis revealed that the mutations mostly alter codons 94 (replacing aspartic acid with glycine, D94G) and 90 (replacing alanine with valine, A90V). In MDR and treatment failure cases, resistance to FQs was most commonly associated with the D94G mutation. In contract, a high proportion of A90V mutations were observed in isolates that were newly diagnosed. CONCLUSION The findings suggest that genotypic assays for FQ resistance should be carried out at the time of initial diagnosis, before starting treatment, in order to rule out mutations that impact the potential use of FQs in treatment and to control drug resistance.
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Affiliation(s)
- Saba Kabir
- Department of Microbiology and Molecular Genetics (MMG), University of the Punjab, New Campus Lahore, Lahore, 54590, Pakistan
| | | | - Nadia Mukhtar
- University of Veterinary and Animal Sciences, Lahore, Pakistan
| | - Muhammad Sohail
- Department of Microbiology and Molecular Genetics (MMG), University of the Punjab, New Campus Lahore, Lahore, 54590, Pakistan
| | | | - Abdul Rehman
- Department of Microbiology and Molecular Genetics (MMG), University of the Punjab, New Campus Lahore, Lahore, 54590, Pakistan.
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Schwœbel V, Trébucq A, Kashongwe Z, Bakayoko AS, Kuaban C, Noeske J, Harouna SH, Souleymane MB, Piubello A, Ciza F, Fikouma V, Gasana M, Ouedraogo M, Gninafon M, Van Deun A, Tagliani E, Cirillo DM, Koura KG, Rieder HL. Outcomes of a nine-month regimen for rifampicin-resistant tuberculosis up to 24 months after treatment completion in nine African countries. EClinicalMedicine 2020; 20:100268. [PMID: 32300732 PMCID: PMC7152829 DOI: 10.1016/j.eclinm.2020.100268] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 12/09/2019] [Accepted: 01/15/2020] [Indexed: 10/26/2022] Open
Abstract
BACKGROUND Treatment outcomes of the shorter regimen for rifampicin-resistant tuberculosis are not completely established. We report on these outcomes two years after treatment completion among patients enrolled in an observational cohort study in nine African countries. METHODS 1,006 patients treated with the nine-month regimen were followed every six months with sputum cultures up to 24 months after treatment completion. The risk of any unfavourable outcome, of failure and relapse, and of death during and after treatment was analysed according to patient's characteristics and initial drug susceptibility by Cox proportional hazard models. FINDINGS Respectively 67.8% and 57.2% patients had >=1 culture result six months and 12 months after treatment completion. Fourteen relapses were diagnosed. The probability of relapse-free success was 79.3% (95% confidence interval [CI] 76.6-82.0%) overall, 80.9% (95% CI 78.0-84.0%) among HIV-negative and 72.5% (95% CI 66.5-78.9%) among HIV-infected patients. Initial fluoroquinolone (adjusted hazard ratio [aHR] 6.7 [95% CI 3.4-13.1]) and isoniazid resistance (aHR 9.4 [95% CI 1.3-68.0]) were significantly associated with increased risk of failure/relapse and of any unfavourable outcome. INTERPRETATION The close to 80% relapse-free success indicates the good outcome of the regimen in low-and middle-income settings. Results confirm the lesser effectiveness of the regimen in patients with initial resistance to fluoroquinolones and support the use of high-dose isoniazid, but do not support exclusion of patients for resistance to drugs other than fluoroquinolones. FUNDING Expertise-France and Agence Française de Développement.
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Affiliation(s)
- Valérie Schwœbel
- International Union Against Tuberculosis and Lung Disease, 68 boulevard Saint-Michel, 75006 Paris, France
- Corresponding author.
| | - Arnaud Trébucq
- International Union Against Tuberculosis and Lung Disease, 68 boulevard Saint-Michel, 75006 Paris, France
| | - Zacharie Kashongwe
- Kinshasa University School of Medicine, Kinshasa, Democratic Republic of Congo
| | | | | | | | | | | | - Alberto Piubello
- International Union Against Tuberculosis and Lung Disease, 68 boulevard Saint-Michel, 75006 Paris, France
- Action Damien, Niamey, Niger
| | | | - Valentin Fikouma
- Faculté des Sciences de la Santé, Bangui, Central African Republic
| | | | | | | | - Armand Van Deun
- Mycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium
| | - Elisa Tagliani
- Emerging Bacterial Pathogens, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniela M. Cirillo
- Emerging Bacterial Pathogens, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Kobto G. Koura
- International Union Against Tuberculosis and Lung Disease, 68 boulevard Saint-Michel, 75006 Paris, France
- Institut de Recherche pour le Développement, UMR216, Paris, France
- COMUE Sorbonne Paris Cité, Université Paris Descartes, Faculté des Sciences Pharmaceutiques et Biologiques, Paris, France
- École Nationale de Formation des Techniciens Supérieurs en Santé Publique et en Surveillance Epidémiologique, Université de Parakou, Parakou, Bénin
| | - Hans L. Rieder
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland
- Tuberculosis Consultant Services, Kirchlindach, Switzerland
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Castro RAD, Ross A, Kamwela L, Reinhard M, Loiseau C, Feldmann J, Borrell S, Trauner A, Gagneux S. The Genetic Background Modulates the Evolution of Fluoroquinolone-Resistance in Mycobacterium tuberculosis. Mol Biol Evol 2020; 37:195-207. [PMID: 31532481 PMCID: PMC6984360 DOI: 10.1093/molbev/msz214] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Fluoroquinolones (FQ) form the backbone in experimental treatment regimens against drug-susceptible tuberculosis. However, little is known on whether the genetic variation present in natural populations of Mycobacterium tuberculosis (Mtb) affects the evolution of FQ-resistance (FQ-R). To investigate this question, we used nine genetically distinct drug-susceptible clinical isolates of Mtb and measured their frequency of resistance to the FQ ofloxacin (OFX) in vitro. We found that the Mtb genetic background led to differences in the frequency of OFX-resistance (OFX-R) that spanned two orders of magnitude and substantially modulated the observed mutational profiles for OFX-R. Further, in vitro assays showed that the genetic background also influenced the minimum inhibitory concentration and the fitness effect conferred by a given OFX-R mutation. To test the clinical relevance of our in vitro work, we surveyed the mutational profile for FQ-R in publicly available genomic sequences from clinical Mtb isolates, and found substantial Mtb lineage-dependent variability. Comparison of the clinical and the in vitro mutational profiles for FQ-R showed that 51% and 39% of the variability in the clinical frequency of FQ-R gyrA mutation events in Lineage 2 and Lineage 4 strains, respectively, can be attributed to how Mtb evolves FQ-R in vitro. As the Mtb genetic background strongly influenced the evolution of FQ-R in vitro, we conclude that the genetic background of Mtb also impacts the evolution of FQ-R in the clinic.
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Affiliation(s)
- Rhastin A D Castro
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Amanda Ross
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Lujeko Kamwela
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Miriam Reinhard
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Chloé Loiseau
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Julia Feldmann
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Sonia Borrell
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Andrej Trauner
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
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Huo F, Zhang F, Xue Y, Shang Y, Liang Q, Ma Y, Li Y, Zhao L, Pang Y. Increased prevalence of levofloxacin-resistant Mycobacterium tuberculosis in China is associated with specific mutations within the gyrA gene. Int J Infect Dis 2020; 92:241-246. [PMID: 31978580 DOI: 10.1016/j.ijid.2020.01.021] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 01/02/2020] [Accepted: 01/14/2020] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVES To compare the prevalence of levofloxacin (LFX) resistance and the population structure of Mycobacterium tuberculosis (MTB) with different mutations conferring LFX resistance between 2005 and 2015. METHODS A total 542 MTB isolates were randomly selected from pulmonary tuberculosis (TB) patients in 2005 and 2015 and analyzed regarding minimum inhibitory concentrations (MICs) and quinolone resistance-determining regions (QRDR). RESULTS One hundred and eleven of the 542 MTB isolates analyzed (20.5%) were resistant to LFX. There were 42 and 69 LFX-resistant isolates from 2005 and 2015, respectively, and MIC high-level LFX resistance was significantly higher in 2015 (40.6%, 28/69) than in 2005 (16.7%, 7/42) (p = 0.02). There were 87 (78.4%) mutations of these 111 LFX-resistant isolates. In addition, a significant difference in proportion was observed in the isolates with mutations in codon 90 of the gyrA gene between 2005 and 2015 (11.9% in 2005 versus 29.0% in 2015, p = 0.04). CONCLUSIONS There was an alarming increase in prevalence of LFX-resistant TB in China between 2005 and 2015. This dynamic change is mostly attributed to the increase in high-level LFX resistance. Moreover, a significant difference was noted in the proportion of LFX-resistant isolates harboring specific mutations within the gyrA gene between 2005 and 2015.
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Affiliation(s)
- Fengmin Huo
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China; Biobank of Tuberculosis, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Fuzhen Zhang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China; Biosafety Level 3 Laboratory, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yi Xue
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Yuanyuan Shang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Qian Liang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Yifeng Ma
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Yunxu Li
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Liping Zhao
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Yu Pang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China; Biobank of Tuberculosis, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China.
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Deshpande D, Pasipanodya JG, Srivastava S, Bendet P, Koeuth T, Bhavnani SM, Ambrose PG, Smythe W, McIlleron H, Thwaites G, Gumusboga M, Van Deun A, Gumbo T. Gatifloxacin Pharmacokinetics/Pharmacodynamics-based Optimal Dosing for Pulmonary and Meningeal Multidrug-resistant Tuberculosis. Clin Infect Dis 2019; 67:S274-S283. [PMID: 30496459 DOI: 10.1093/cid/ciy618] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Background Gatifloxacin is used for the treatment of multidrug-resistant tuberculosis (MDR-TB). The optimal dose is unknown. Methods We performed a 28-day gatifloxacin hollow-fiber system model of tuberculosis (HFS-TB) study in order to identify the target exposures associated with optimal kill rates and resistance suppression. Monte Carlo experiments (MCE) were used to identify the dose that would achieve the target exposure in 10000 adult patients with meningeal or pulmonary MDR-TB. The optimal doses identified were validated using probit analyses of clinical data from 2 prospective clinical trials of patients with pulmonary and meningeal tuberculosis. Classification and regression-tree (CART) analyses were used to identify the gatifloxacin minimum inhibitory concentration (MIC) below which patients failed or relapsed on combination therapy. Results The target exposure associated with optimal microbial kill rates and resistance suppression in the HFS-TB was a 0-24 hour area under the concentration-time curve-to-MIC of 184. MCE identified an optimal gatifloxacin dose of 800 mg/day for pulmonary and 1200 mg/day for meningeal MDR-TB, and a clinical susceptibility breakpoint of MIC ≤ 0.5 mg/L. In clinical trials, CART identified that 79% patients failed therapy if MIC was >2 mg/L, but 98% were cured if MIC was ≤0.5 mg/L. Probit analysis of clinical data demonstrated a >90% probability of a cure in patients if treated with 800 mg/day for pulmonary tuberculosis and 1200 mg/day for meningeal tuberculosis. Doses ≤400 mg/day were suboptimal. Conclusions Gatifloxacin doses of 800 mg/day and 1200 mg/day are recommended for pulmonary and meningeal MDR-TB treatment, respectively. Gatifloxacin has a susceptible dose-dependent zone at MICs 0.5-2 mg/L.
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Affiliation(s)
- Devyani Deshpande
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Jotam G Pasipanodya
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Shashikant Srivastava
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Paula Bendet
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Thearith Koeuth
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | | | - Paul G Ambrose
- Institute for Clinical Pharmacodynamics, Schenectady, New York
| | - Wynand Smythe
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, South Africa
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, South Africa
| | - Guy Thwaites
- Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, Churchill Hospital, Oxford, United Kingdom.,Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | | | - Armand Van Deun
- Institute of Tropical Medicine, Antwerp, Belgium.,International Union Against Tuberculosis and Lung Disease, Paris, France
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
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35
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Management of multidrug-resistant tuberculosis with shorter treatment regimen in Niger: Nationwide programmatic achievements. Respir Med 2019; 161:105844. [PMID: 32056722 DOI: 10.1016/j.rmed.2019.105844] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 11/09/2019] [Accepted: 11/20/2019] [Indexed: 11/24/2022]
Abstract
BACKGROUND In Niger, the Shorter Treatment Regimen (STR) has been implemented nationwide for rifampicin resistant tuberculosis (RR-TB), since 2008. No previous publication has shown the results from countrywide programmatic implementation using few exclusion criteria, nor exhaustively assessed the effect of initial resistance to companion drugs on outcomes. METHODS The National Tuberculosis Programme and the Damien Foundation conducted a retrospective observational study to evaluate the management of RR-TB from 2008 to 2016. Baseline resistance to drugs was assessed phenotypically, complemented by screening the inhA, katG and pncA genes. Cured patients were followed-up for a period of one year after cure. FINDINGS Among 1044 patients tested for rifampicin resistance, mainly previously treated patients, 332 were diagnosed with pulmonary RR/TB, 288 were enrolled on treatment and 255 started on STR. Six patients received a modified STR. Among 249 patients on standardised STR, 207 (83·1%) were cured relapse-free, eight (3·2%) had failure, 23 (9·2%) died, seven (2·8%) were lost to follow-up and four (1·6%) relapsed. The risk of unfavourable outcome was higher in patients with initial resistance to fluoroquinolones (aOR 20·4, 95%CI:5·6-74·6) and very severely underweight (aOR 3·9, 95%CI:1·5-10·1). Successful outcome was not affected by initial resistance to companion drugs. Serious ototoxicity was reported in eight patients (3·2%). INTERPRETATION A comprehensive nationwide approach to multidrug-resistant tuberculosis management using the STR was feasible and successful. Outcomes were not affected by initial resistance to companion drugs. Our study confirms the effectiveness and safety of the STR. FUNDING Damien Foundation and Institute of Tropical Medicine-Antwerp.
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36
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Hameed HMA, Tan Y, Islam MM, Guo L, Chhotaray C, Wang S, Liu Z, Gao Y, Tan S, Yew WW, Zhong N, Liu J, Zhang T. Phenotypic and genotypic characterization of levofloxacin- and moxifloxacin-resistant Mycobacterium tuberculosis clinical isolates in southern China. J Thorac Dis 2019; 11:4613-4625. [PMID: 31903250 DOI: 10.21037/jtd.2019.11.03] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Levofloxacin (LVX) and Moxifloxacin (MXF) are the cornerstones for treatment of multidrug-resistant tuberculosis (MDR-TB). China is one of the highest MDR- and fluoroquinolones (FQ)-resistant TB burdens countries. DNA gyrase encoded by gyr genes is the main target of FQ in Mycobacterium tuberculosis (MTB). The prevalence and molecular characterization of LVX- and MXF-resistant MTB strains from southern China were examined in this study. Methods Drug susceptibility testing (DST) of 400 MTB clinical isolates was evaluated by proportion method on Löwenstein-Jensen (LJ) medium against ten drugs. The sequencing of entire gyrA and gyrB genes and multiplex PCR were performed to distinguish the prevalence of mutant types in Beijing and non-Beijing genotypes. Results Three hundred and twenty-one out of four hundred (80.25%) drug-resistant isolates (resistant > one drug) were categorized as 83/321 (25.80%) MDR, 174/321 (54.20%) pre-XDR and 64/321 (19.93%) XDR-MTB. Overall, 303/400 (75.75%) LVX- and 292/400 (73.00%) MXF-resistant (R) MTB strains were identified. Two hundred seventy-one out of three hundred and three (89.43%) resistant strains carried mutations in gyrA and 91/303 (30.03%) in gyrB. Interestingly, 18 novel mutations were detected in gyrA and gyrB genes. Mutations at (A90, D94) and (T500, G510, G512) frequently existed in QRDR(s) of gyrA and gyrB respectively in 286/400 (71.50%) LVXRMXFR strains. The novel mutations in- and out-side the QRDR of gyrA (L105R, A126E, M127K, D151T, V165A) and gyrB (D461H, N499S, G520A) increased the sensitivity and consistency of genotypic tests. Notably, 25 LVXRMXFR strains were found with unknown resistance mechanisms. Conclusions Mutations in QRDR(s) were concomitantly associated with Beijing and non-Beijing genotypes. The prevalence of resistance and cross-resistance between LVX and MXF in MTB isolates from southern China was immensely higher than other countries. Our valuable findings provide the substantial implications to improve the reliability of genotypic diagnostic tests relying on potential resistance conferring mutations in entire gyr genes.
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Affiliation(s)
- H M Adnan Hameed
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China.,University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Yaoju Tan
- State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou 510095, China
| | - Md Mahmudul Islam
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China.,University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Lingmin Guo
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China.,University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Chiranjibi Chhotaray
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China.,University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Shuai Wang
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China.,University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Zhiyong Liu
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
| | - Yamin Gao
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China.,University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Shouyong Tan
- State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou 510095, China
| | - Wing Wai Yew
- Stanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Hong Kong, China
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510182, China
| | - Jianxiong Liu
- State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou 510095, China
| | - Tianyu Zhang
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China.,University of Chinese Academy of Sciences (UCAS), Beijing 100049, China.,State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510182, China
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37
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How Well Do Routine Molecular Diagnostics Detect Rifampin Heteroresistance in Mycobacterium tuberculosis? J Clin Microbiol 2019; 57:JCM.00717-19. [PMID: 31413081 PMCID: PMC6812990 DOI: 10.1128/jcm.00717-19] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 08/09/2019] [Indexed: 11/20/2022] Open
Abstract
Rifampin heteroresistance—where rifampin-resistant and -susceptible tuberculosis (TB) bacilli coexist—may result in failed standard TB treatment and potential spread of rifampin-resistant strains. The detection of rifampin heteroresistance in routine rapid diagnostic tests (RDTs) allows for patients to receive prompt and effective multidrug-resistant-TB treatment and may improve rifampin-resistant TB control. Rifampin heteroresistance—where rifampin-resistant and -susceptible tuberculosis (TB) bacilli coexist—may result in failed standard TB treatment and potential spread of rifampin-resistant strains. The detection of rifampin heteroresistance in routine rapid diagnostic tests (RDTs) allows for patients to receive prompt and effective multidrug-resistant-TB treatment and may improve rifampin-resistant TB control. The limit of detection (LOD) of rifampin heteroresistance for phenotypic drug susceptibility testing by the proportion method is 1% and, yet, is insufficiently documented for RDTs. We, therefore, aimed to determine, for the four RDTs (XpertMTB/RIF, XpertMTB/RIF Ultra, GenoTypeMTBDRplusv2.0, and GenoscholarNTM+MDRTBII), the LOD per probe and mutation, validated by CFU counting and targeted deep sequencing (Deeplex-MycTB). We selected one rifampin-susceptible and four rifampin-resistant strains, with mutations D435V, H445D, H445Y, and S450L, respectively, mixed them in various proportions in triplicate, tested them with each RDT, and determined the LODs per mutation type. Deeplex-MycTB revealed concordant proportions of the minority resistant variants in the mixtures. The Deeplex-MycTB-validated LODs ranged from 20% to 80% for XpertMTB/RIF, 20% to 70% for Xpert Ultra, 5% to 10% for GenoTypeMTBDRplusv2.0, and 1% to 10% for GenoscholarNTM+MDRTBII for the different mutations. Deeplex-MycTB, GenoTypeMTBDRplusv2.0, and GenoscholarNTM+MDRTBII provide explicit information on rifampin heteroresistance for the most frequently detected mutations. Classic Xpert and Ultra report rifampin heteroresistance as rifampin resistance, while Ultra may denote rifampin heteroresistance through “mixed patterns” of wild-type and mutant melt probe, melt peak temperatures. Overall, our findings inform end users that the threshold for reporting resistance in the case of rifampin heteroresistance is the highest for Classic Xpert and Ultra to resolve phenotypic and genotypic discordant rifampin-resistant TB results.
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Abstract
Tuberculosis (TB) is a major issue in global health and affects millions of people each year. Multidrug-resistant tuberculosis (MDR-TB) annually causes many deaths worldwide. Development of a way to diagnose and treat patients with MDR-TB can potentially reduce the incidence of the disease. The current study reviews the risk factors, pattern of progression, mechanism of resistance, and interaction between bacteria and the host immune system, which disrupts the immune response. It also targets the components of Mycobacterium tuberculosis (Mtb) and diagnosis and treatment options that could be available for clinical use in the near future. Mutations play an important role in development of MDR-TB and the selection of appropriate mutations can help to understand the type of resistance in patients to anti-TB drugs. In this way, they can be initially treated with proper and effective therapeutic choices, which can accelerate the course of treatment and improve patient health. Targeting the components and enzymes of Mtb is necessary for understanding bacterial survival and finding a way to destroy the pathogen and allow patients to recover faster and prevent the spread of disease, especially resistant strains.
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Affiliation(s)
- Majid Faridgohar
- Infectious Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran.,Department of Microbiology and Immunology, Faculty of Medicine, Kashan University of Medical Sciences, Kashan, Iran
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39
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Rigouts L, Miotto P, Schats M, Lempens P, Cabibbe AM, Galbiati S, Lampasona V, de Rijk P, Cirillo DM, de Jong BC. Fluoroquinolone heteroresistance in Mycobacterium tuberculosis: detection by genotypic and phenotypic assays in experimentally mixed populations. Sci Rep 2019; 9:11760. [PMID: 31409849 PMCID: PMC6692311 DOI: 10.1038/s41598-019-48289-9] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 08/01/2019] [Indexed: 12/19/2022] Open
Abstract
Heteroresistance - the simultaneous presence of drug-susceptible and -resistant organisms - is common in Mycobacterium tuberculosis. In this study, we aimed to determine the limit of detection (LOD) of genotypic assays to detect gatifloxacin-resistant mutants in experimentally mixed populations. A fluoroquinolone-susceptible M. tuberculosis mother strain (S) and its in vitro selected resistant daughter strain harbouring the D94G mutation in gyrA (R) were mixed at different ratio’s. Minimum inhibitory concentrations (MICs) against gatifloxacin were determined, while PCR-based techniques included: line probe assays (Genotype MTBDRsl and GenoScholar-FQ + KM TB II), Sanger sequencing and targeted deep sequencing. Droplet digital PCR was used as molecular reference method. A breakpoint concentration of 0.25 mg/L allows the phenotypic detection of ≥1% resistant bacilli, whereas at 0.5 mg/L ≥ 5% resistant bacilli are detected. Line probe assays detected ≥5% mutants. Sanger sequencing required the presence of around 15% mutant bacilli to be detected as (hetero) resistant, while targeted deep sequencing detected ≤1% mutants. Deep sequencing and phenotypic testing are the most sensitive methods for detection of fluoroquinolone-resistant minority populations, followed by line probe assays (provided that the mutation is confirmed by a mutation band), while Sanger sequencing proved to be the least sensitive method.
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Affiliation(s)
- L Rigouts
- Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium. .,Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
| | - P Miotto
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - M Schats
- Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - P Lempens
- Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - A M Cabibbe
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - S Galbiati
- Unit of Genomic for the Diagnosis of Human Pathologies, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - V Lampasona
- Unit of Genomic for the Diagnosis of Human Pathologies, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - P de Rijk
- Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - D M Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - B C de Jong
- Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
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40
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Lin M, Zhong Y, Chen Z, Lin C, Pei H, Shu W, Pang Y. High incidence of drug-resistant Mycobacterium tuberculosis in Hainan Island, China. Trop Med Int Health 2019; 24:1098-1103. [PMID: 31278806 DOI: 10.1111/tmi.13285] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVES To assess the proportion of drug-resistant tuberculosis (TB) cases and to identify independent risk factors associated with drug-resistant TB in Hainan. METHODS Descriptive analysis of demographic and clinical data of culture-positive TB patients to assess the trends in drug-resistant TB at the Provincial Clinical Center on Tuberculosis of Hainan between 2014 and 2017. RESULTS 994 patients were recruited into the study. Overall, the proportion of patients resistant to at least one TB drug tested was 36.1% (359/994). The most frequent resistance was to isoniazid (INH, 29.8%), followed by rifampin (RIF, 29.3%), streptomycin (19.3%), ofloxacin (OFX, 17.4%), ethambutol (9.5%) and kanamycin (KAN, 3.2%). Of 291 RIF-resistant isolates, 228 (78.4%) were also resistant to INH, while the remaining 63 (21.6%) were susceptible to INH. Among those with multidrug-resistant tuberculosis (MDR-TB), 41.2% had additional resistance to OFX and 3.9% to KAN. 8.8% of MDR-TB patients were affected by extensively drug-resistant (XDR-TB). Females were more likely to infected with MDR-TB than males, and young people (<20 years old) were more likely to have MDR-TB; patients exhibited decreasing MDR-TB risk with increasing age. CONCLUSIONS Our data provide the first primary understanding of the drug-resistant TB epidemic in Hainan. The high incidence of drug resistance, especially RIF and FQ resistance, highlight the importance of interventions for preventing epidemics of drug-resistant TB. Younger age is an independent predictor of MDR-TB, reflecting the potential transmission in this population.
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Affiliation(s)
- Mingguan Lin
- Department of Clinical Laboratory, The Second Affiliated Hospital, Hainan Medical University, Haikou, China
| | - Yeteng Zhong
- Department of Clinical Laboratory, The Second Affiliated Hospital, Hainan Medical University, Haikou, China
| | - Zhuolin Chen
- Department of Clinical Laboratory, The Second Affiliated Hospital, Hainan Medical University, Haikou, China
| | - Chong Lin
- Department of Clinical Laboratory, The Second Affiliated Hospital, Hainan Medical University, Haikou, China
| | - Hua Pei
- Department of Clinical Laboratory, The Second Affiliated Hospital, Hainan Medical University, Haikou, China
| | - Wei Shu
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China
| | - Yu Pang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China.,Biobank of Tuberculosis, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Institute, Capital Medical University, Beijing, China
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41
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Ninan MM, Rupali P, James P, Michael JS. Robustness of the Line Probe Assay for the Rapid Diagnosis and Characterization of Mutations in Extensively Drug-Resistant Tuberculosis. Microb Drug Resist 2019; 25:799-804. [PMID: 30785833 DOI: 10.1089/mdr.2018.0268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Introduction: Extensively drug-resistant tuberculosis (XDRTB) is a public health concern. We evaluated the diagnostic accuracy of Genotype® MTBDRsl for detection of resistance to fluoroquinolones (FQs) and second-line injectable drugs (SLIDs) and characterized mutations seen. Materials and Methods: MTBDRsl was carried out either directly on sputum samples or indirectly on culture isolates (n = 100) from known multidrug-resistant tuberculosis (MDRTB) patients from July 2015 to September 2017. Diagnostic accuracy for the detection of resistance to FQs and SLIDs was calculated in comparison with conventional culture-based drug susceptibility testing. Mutations at the gyrA and rrs loci, as well as discrepant phenotypic and genotypic results, were studied. A subset of isolates underwent pyrosequencing. Results: Out of 100 MDRTB samples/isolates tested, 59% were pre-XDRTB and 7% were XDRTB. The sensitivity and specificity for the detection of resistance to FQs were 96.6% [95% confidence interval (CI): 88.3-99.6] and 80% [95% CI: 64.4-90.9] and those for SLIDs were 70% [95% CI: 34.8-93.3] and 100% [95% CI: 95.9-100]. The most frequent mutations were the absence of wild type 3 with corresponding mutation 3c (20/66) at the gyrA locus, and absence of wild type 1 and corresponding mutation 1 (6/7) at the rrs locus. The absence of a wt2 band with a corresponding mutation at the gyrA locus was seen in four of eight patients with discrepant genotypic and phenotypic results for FQ resistance. All isolates tested by pyrosequencing (n = 5) were concordant with the line probe assay for FQ resistance with identical mutations (D94G) and four of five isolates were concordant with SLIDs with identical mutations (A1401G). Conclusion: The MTBDRsl is a useful test for accurate diagnosis of XDRTB and may help to tailor therapy.
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Affiliation(s)
- Marilyn M Ninan
- 1 Department of Microbiology, CMC, Vellore, Tamil Nadu, India
| | - Priscilla Rupali
- 2 Department of Infectious Diseases, CMC, Vellore, Tamil Nadu, India
| | - Prince James
- 3 Department of Pulmonary Medicine, CMC, Vellore, Tamil Nadu, India
| | - Joy S Michael
- 1 Department of Microbiology, CMC, Vellore, Tamil Nadu, India
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42
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Gröschel MI, Walker TM, van der Werf TS, Lange C, Niemann S, Merker M. Pathogen-based precision medicine for drug-resistant tuberculosis. PLoS Pathog 2018; 14:e1007297. [PMID: 30335850 PMCID: PMC6193714 DOI: 10.1371/journal.ppat.1007297] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Matthias I. Gröschel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- Department of Pulmonary Diseases & Tuberculosis, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- * E-mail:
| | - Timothy M. Walker
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Tjip S. van der Werf
- Department of Pulmonary Diseases & Tuberculosis, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Christoph Lange
- Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- International Health / Infectious Diseases, University of Lübeck, Lübeck, Germany
- Department of Medicine, Karolinska Institute, Stockholm, Sweden
- German Center for Infection Research (DZIF) Tuberculosis Unit, Borstel, Germany
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research (DZIF) Tuberculosis Unit, Borstel, Germany
| | - Matthias Merker
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
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43
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Davies Forsman L, Niward K, Hu Y, Zheng R, Zheng X, Ke R, Cai W, Hong C, Li Y, Gao Y, Werngren J, Paues J, Kuhlin J, Simonsson USH, Eliasson E, Alffenaar JW, Mansjö M, Hoffner S, Xu B, Schön T, Bruchfeld J. Plasma concentrations of second-line antituberculosis drugs in relation to minimum inhibitory concentrations in multidrug-resistant tuberculosis patients in China: a study protocol of a prospective observational cohort study. BMJ Open 2018; 8:e023899. [PMID: 30287613 PMCID: PMC6173237 DOI: 10.1136/bmjopen-2018-023899] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Revised: 06/21/2018] [Accepted: 08/06/2018] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION Individualised treatment through therapeutic drug monitoring (TDM) may improve tuberculosis (TB) treatment outcomes but is not routinely implemented. Prospective clinical studies of drug exposure and minimum inhibitory concentrations (MICs) in multidrug-resistant TB (MDR-TB) are scarce. This translational study aims to characterise the area under the concentration-time curve of individual MDR-TB drugs, divided by the MIC for Mycobacterium tuberculosis isolates, to explore associations with markers of treatment progress and to develop useful strategies for clinical implementation of TDM in MDR-TB. METHODS AND ANALYSIS Adult patients with pulmonary MDR-TB treated in Xiamen, China, are included. Plasma samples for measure of drug exposure are obtained at 0, 1, 2, 4, 6, 8 and 10 hours after drug intake at week 2 and at 0, 4 and 6 hours during weeks 4 and 8. Sputum samples for evaluating time to culture positivity and MIC determination are collected at days 0, 2 and 7 and at weeks 2, 4, 8 and 12 after treatment initiation. Disease severity are assessed with a clinical scoring tool (TBscore II) and quality of life evaluated using EQ-5D-5L. Drug concentrations of pyrazinamide, ethambutol, levofloxacin, moxifloxacin, cycloserine, prothionamide and para-aminosalicylate are measured by liquid chromatography tandem-mass spectrometry and the levels of amikacin measured by immunoassay. Dried blood spot on filter paper, to facilitate blood sampling for analysis of drug concentrations, is also evaluated. The MICs of the drugs listed above are determined using custom-made broth microdilution plates and MYCOTB plates with Middlebrook 7H9 media. MIC determination of pyrazinamide is performed in BACTEC MGIT 960. ETHICS AND DISSEMINATION This study has been approved by the ethical review boards of Karolinska Institutet, Sweden and Fudan University, China. Informed written consent is given by participants. The study results will be submitted to a peer-reviewed journal. TRIAL REGISTRATION NUMBER NCT02816931; Pre-results.
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Affiliation(s)
- Lina Davies Forsman
- Division of Infectious Diseases, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden
| | - Katarina Niward
- Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
- Department of Infectious Diseases, Linköping University, Linkoping, Sweden
| | - Yi Hu
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Rongrong Zheng
- Department of Tuberculosis and AIDS prevention, Xiamen City Centre for Disease Control, Xiamen, China
| | - Xubin Zheng
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Ran Ke
- Department of Tuberculosis and AIDS prevention, Xiamen City Centre for Disease Control, Xiamen, China
| | - Weiping Cai
- Department of Tuberculosis and AIDS prevention, Xiamen City Centre for Disease Control, Xiamen, China
| | - Chao Hong
- Department of Tuberculosis and AIDS prevention, Xiamen City Centre for Disease Control, Xiamen, China
| | - Yang Li
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Yazhou Gao
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Jim Werngren
- Department of Microbiology, The Public Health Agency of Sweden, Stockholm, Sweden
| | - Jakob Paues
- Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
- Department of Infectious Diseases, Linköping University, Linkoping, Sweden
| | - Johanna Kuhlin
- Division of Infectious Diseases, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden
| | | | - Erik Eliasson
- Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Jan-Willem Alffenaar
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Mikael Mansjö
- Department of Microbiology, The Public Health Agency of Sweden, Stockholm, Sweden
| | - Sven Hoffner
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Biao Xu
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Thomas Schön
- Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
- Department of Clinical Microbiology and Infectious Diseases, Kalmar County Hospital, Kalmar, Sweden
| | - Judith Bruchfeld
- Division of Infectious Diseases, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden
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44
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Miotto P, Zhang Y, Cirillo DM, Yam WC. Drug resistance mechanisms and drug susceptibility testing for tuberculosis. Respirology 2018; 23:1098-1113. [PMID: 30189463 DOI: 10.1111/resp.13393] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 08/03/2018] [Accepted: 08/12/2018] [Indexed: 12/12/2022]
Abstract
Tuberculosis (TB) caused by Mycobacterium tuberculosis (MTB) is the deadliest infectious disease and the associated global threat has worsened with the emergence of drug resistance, in particular multidrug-resistant TB (MDR-TB) and extensively drug-resistant TB (XDR-TB). Although the World Health Organization (WHO) End-TB Strategy advocates for universal access to antimicrobial susceptibility testing, this is not widely available and/or it is still underused. The majority of drug resistance in clinical MTB strains is attributed to chromosomal mutations. Resistance-related mutations could also exert certain fitness cost to the drug-resistant MTB strains and growth fitness could be restored by the presence of compensatory mutations. Understanding these underlying mechanisms could provide an important insight into TB pathogenesis and predict the future trend of MDR-TB global pandemic. This review covers the mechanisms of resistance in MTB and provides a comprehensive overview of current phenotypic and molecular approaches for drug susceptibility testing, with particular attention to the methods endorsed and recommended by the WHO.
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Affiliation(s)
- Paolo Miotto
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Ying Zhang
- Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Wing Cheong Yam
- Department of Microbiology, Queen Mary Hospital Compound, The University of Hong Kong, Hong Kong, China
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45
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Lange C, Alghamdi WA, Al-Shaer MH, Brighenti S, Diacon AH, DiNardo AR, Grobbel HP, Gröschel MI, von Groote-Bidlingmaier F, Hauptmann M, Heyckendorf J, Köhler N, Kohl TA, Merker M, Niemann S, Peloquin CA, Reimann M, Schaible UE, Schaub D, Schleusener V, Thye T, Schön T. Perspectives for personalized therapy for patients with multidrug-resistant tuberculosis. J Intern Med 2018; 284:163-188. [PMID: 29806961 DOI: 10.1111/joim.12780] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
According to the World Health Organization (WHO), tuberculosis is the leading cause of death attributed to a single microbial pathogen worldwide. In addition to the large number of patients affected by tuberculosis, the emergence of Mycobacterium tuberculosis drug-resistance is complicating tuberculosis control in many high-burden countries. During the past 5 years, the global number of patients identified with multidrug-resistant tuberculosis (MDR-TB), defined as bacillary resistance at least against rifampicin and isoniazid, the two most active drugs in a treatment regimen, has increased by more than 20% annually. Today we experience a historical peak in the number of patients affected by MDR-TB. The management of MDR-TB is characterized by delayed diagnosis, uncertainty of the extent of bacillary drug-resistance, imprecise standardized drug regimens and dosages, very long duration of therapy and high frequency of adverse events which all translate into a poor prognosis for many of the affected patients. Major scientific and technological advances in recent years provide new perspectives through treatment regimens tailor-made to individual needs. Where available, such personalized treatment has major implications on the treatment outcomes of patients with MDR-TB. The challenge now is to bring these adances to those patients that need them most.
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Affiliation(s)
- C Lange
- Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- Tuberculosis Unit, German Center for Infection Research (DZIF), Borstel, Germany
- International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
- Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - W A Alghamdi
- Department of Pharmacotherapy and Translational Research, Infectious Disease Pharmacokinetics Laboratory, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - M H Al-Shaer
- Department of Pharmacotherapy and Translational Research, Infectious Disease Pharmacokinetics Laboratory, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - S Brighenti
- Department of Medicine, Center for Infectious Medicine (CIM), Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - A H Diacon
- Task Applied Science, Bellville, South Africa
- Division of Physiology, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - A R DiNardo
- Section of Global and Immigrant Health, Baylor College of Medicine, Houston, TX, USA
| | - H P Grobbel
- Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- Tuberculosis Unit, German Center for Infection Research (DZIF), Borstel, Germany
- International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | - M I Gröschel
- Department of Pumonary Diseases & Tuberculosis, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Molecular and Experimental Mycobacteriology, National Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | | | - M Hauptmann
- Tuberculosis Unit, German Center for Infection Research (DZIF), Borstel, Germany
- Cellular Microbiology, Research Center Borstel, Borstel, Germany
| | - J Heyckendorf
- Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- Tuberculosis Unit, German Center for Infection Research (DZIF), Borstel, Germany
- International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | - N Köhler
- Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- Tuberculosis Unit, German Center for Infection Research (DZIF), Borstel, Germany
- International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | - T A Kohl
- Molecular and Experimental Mycobacteriology, National Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | - M Merker
- Molecular and Experimental Mycobacteriology, National Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | - S Niemann
- Tuberculosis Unit, German Center for Infection Research (DZIF), Borstel, Germany
- Molecular and Experimental Mycobacteriology, National Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | - C A Peloquin
- Department of Pharmacotherapy and Translational Research, Infectious Disease Pharmacokinetics Laboratory, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - M Reimann
- Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- Tuberculosis Unit, German Center for Infection Research (DZIF), Borstel, Germany
- International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | - U E Schaible
- Tuberculosis Unit, German Center for Infection Research (DZIF), Borstel, Germany
- Cellular Microbiology, Research Center Borstel, Borstel, Germany
- Biochemical Microbiology & Immunochemistry, University of Lübeck, Lübeck, Germany
- LRA INFECTIONS'21, Borstel, Germany
| | - D Schaub
- Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany
- Tuberculosis Unit, German Center for Infection Research (DZIF), Borstel, Germany
- International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany
| | - V Schleusener
- Molecular and Experimental Mycobacteriology, National Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | - T Thye
- Department of Infectious Disease Epidemiology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - T Schön
- Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
- Department of Clinical Microbiology and Infectious Diseases, Kalmar County Hospital, Linköping University, Linköping, Sweden
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Farhat MR, Jacobson KR, Franke MF, Kaur D, Murray M, Mitnick CD. Fluoroquinolone Resistance Mutation Detection Is Equivalent to Culture-Based Drug Sensitivity Testing for Predicting Multidrug-Resistant Tuberculosis Treatment Outcome: A Retrospective Cohort Study. Clin Infect Dis 2018; 65:1364-1370. [PMID: 29017248 DOI: 10.1093/cid/cix556] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Accepted: 07/10/2017] [Indexed: 11/12/2022] Open
Abstract
Background Molecular diagnostics that rapidly and accurately predict fluoroquinolone (FQ) resistance promise to improve treatment outcomes for individuals with multidrug-resistant (MDR) tuberculosis (TB). Mutations in the gyr genes, though, can cause variable levels of in vitro FQ resistance, and some in vitro resistance remains unexplained by gyr mutations alone, but the implications of these discrepancies for treatment outcome are unknown. Methods We performed a retrospective cohort study of 172 subjects with MDR/extensively drug-resistant TB subjects and sequenced the full gyrA and gyrB open reading frames in their respective sputum TB isolates. The gyr mutations were classified into 2 categories: a set of mutations that encode high-level FQ resistance and a second set that encodes intermediate resistance levels. We constructed a Cox proportional model to assess the effect of the gyr mutation type on the time to death or treatment failure and compared this with in vitro FQ resistance, controlling for host and treatment factors. Results Controlling for other host and treatment factors and compared with patients with isolates without gyr resistance mutations, "high-level" gyr mutations significantly predict poor treatment outcomes with a hazard ratio of 2.6 (1.2-5.6). We observed a hazard of death and treatment failure with "intermediate-level" gyr mutations of 1.3 (0.6-3.1), which did not reach statistical significance. The gyr mutations were not different than culture-based FQ drug susceptibility testing in predicting the hazard of death or treatment failure and may be superior. Conclusions FQ molecular-based diagnostic tests may better predict treatment response than traditional drug susceptibility testing and open avenues for personalizing TB therapy.
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Affiliation(s)
- Maha R Farhat
- Department of Biomedical Informatics, Harvard Medical School.,Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital
| | - Karen R Jacobson
- Section of Infectious Diseases, Boston University School of Medicine
| | - Molly F Franke
- Department of Global Health and Social Medicine, Harvard Medical School
| | - Devinder Kaur
- University of Massachusetts Medical School, Massachusetts Supranational Tuberculosis Reference Laboratory
| | - Megan Murray
- Department of Global Health and Social Medicine, Harvard Medical School.,Department of Epidemiology, Harvard School of Public Health
| | - Carole D Mitnick
- Department of Global Health and Social Medicine, Harvard Medical School.,Department of Global Health Equity, Brigham and Women's Hospital, Boston, Massachusetts
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47
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Luo T, Yuan J, Peng X, Yang G, Mi Y, Sun C, Wang C, Zhang C, Bao L. Double mutation in DNA gyrase confers moxifloxacin resistance and decreased fitness of Mycobacterium smegmatis. J Antimicrob Chemother 2018; 72:1893-1900. [PMID: 28387828 DOI: 10.1093/jac/dkx110] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2017] [Accepted: 03/13/2017] [Indexed: 11/13/2022] Open
Abstract
Objectives Ofloxacin and moxifloxacin are the most commonly used fluoroquinolones (FQs) for the treatment of tuberculosis. As a new generation FQ, moxifloxacin has been recommended for the treatment of ofloxacin-resistant TB. However, the mechanism by which ofloxacin-resistant Mycobacterium tuberculosis further gains resistance to moxifloxacin remains unclear. Methods We used Mycobacterium smegmatis as a model for studying FQ resistance in M. tuberculosis . Moxifloxacin-resistant M. smegmatis was selected in vitro based on strains with primary ofloxacin resistance. The gyrA and gyrB genes of the resistant strains were sequenced to identify resistance-associated mutations. An in vitro competition assay was applied to explore the influence of gyrA / gyrB mutations on bacterial fitness. Finally, we evaluated the clinical relevance of our findings by analysing the WGS data of 1984 globally collected M. tuberculosis strains. Results A total of 57 moxifloxacin-resistant M. smegmatis strains based on five ofloxacin-resistant strains were obtained. Sequencing results revealed that all moxifloxacin-resistant strains harboured second-step mutations in gyrA or gyrB . The relative fitnesses of the double-mutation strains varied from 0.65 to 0.93 and were mostly lower than those of their mono-mutation parents. From the genomic data, we identified 37 clinical M. tuberculosis strains harbouring double mutations in gyrA and/or gyrB and 36 of them carried at least one low-level FQ-resistance mutation. Conclusions Double mutation in DNA gyrase leads to moxifloxacin resistance and decreased fitness in M. smegmatis . Under current dosing of moxifloxacin, double mutations mainly happened in M. tuberculosis strains with primary low-level resistance mutations.
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Affiliation(s)
- Tao Luo
- Laboratory of Infection and Immunity, West China Center of Medical Sciences, Sichuan University, Chengdu 610041, China
| | - Jinning Yuan
- Laboratory of Infection and Immunity, West China Center of Medical Sciences, Sichuan University, Chengdu 610041, China
| | - Xuan Peng
- Laboratory of Infection and Immunity, West China Center of Medical Sciences, Sichuan University, Chengdu 610041, China
| | - Guoping Yang
- Laboratory of Infection and Immunity, West China Center of Medical Sciences, Sichuan University, Chengdu 610041, China
| | - Youjun Mi
- Laboratory of Infection and Immunity, West China Center of Medical Sciences, Sichuan University, Chengdu 610041, China
| | - Changfeng Sun
- Laboratory of Infection and Immunity, West China Center of Medical Sciences, Sichuan University, Chengdu 610041, China
| | - Chuhan Wang
- Laboratory of Infection and Immunity, West China Center of Medical Sciences, Sichuan University, Chengdu 610041, China
| | - Chunxi Zhang
- Laboratory of Infection and Immunity, West China Center of Medical Sciences, Sichuan University, Chengdu 610041, China
| | - Lang Bao
- Laboratory of Infection and Immunity, West China Center of Medical Sciences, Sichuan University, Chengdu 610041, China
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48
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Chiang CY, Trébucq A, Piubello A, Rieder HL, Van Deun A. Should gatifloxacin be included in the model list of essential medicines? Eur Respir J 2018; 51:51/2/1702329. [PMID: 29437946 DOI: 10.1183/13993003.02329-2017] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Accepted: 12/04/2017] [Indexed: 11/05/2022]
Affiliation(s)
- Chen-Yuan Chiang
- International Union Against Tuberculosis and Lung Disease, Paris, France .,Division of Pulmonary Medicine, Dept of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.,Division of Pulmonary Medicine, Dept of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Arnaud Trébucq
- International Union Against Tuberculosis and Lung Disease, Paris, France
| | - Alberto Piubello
- International Union Against Tuberculosis and Lung Disease, Paris, France.,Damien Foundation, Niamey, Niger
| | - Hans L Rieder
- Epidemiology, Biostatistics, and Prevention Institute, University of Zurich, Zurich, Switzerland.,Tuberculosis Consultant Services, Kirchlindach, Switzerland
| | - Armand Van Deun
- International Union Against Tuberculosis and Lung Disease, Paris, France.,Mycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium
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Limited Effect of Later-Generation Fluoroquinolones in the Treatment of Ofloxacin-Resistant and Moxifloxacin-Susceptible Multidrug-Resistant Tuberculosis. Antimicrob Agents Chemother 2018; 62:AAC.01784-17. [PMID: 29203478 DOI: 10.1128/aac.01784-17] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Accepted: 11/27/2017] [Indexed: 12/19/2022] Open
Abstract
Recent data conflict on the clinical efficacy of later-generation fluoroquinolones, such as moxifloxacin or levofloxacin, for the treatment of multidrug-resistant tuberculosis (MDR-TB) that is resistant to ofloxacin but susceptible to moxifloxacin. The purpose of the present study was to evaluate whether later-generation fluoroquinolones can improve treatment outcomes in patients with ofloxacin-resistant, moxifloxacin-susceptible MDR-TB. A retrospective cohort study was performed on 208 patients with moxifloxacin-susceptible MDR-TB who were treated between 2006 and 2011. Later-generation fluoroquinolones were used for all patients. Overall, 171 patients (82%) had ofloxacin-susceptible, moxifloxacin-susceptible MDR-TB (ofloxacin-susceptible group), and 37 (18%) had ofloxacin-resistant, moxifloxacin-susceptible MDR-TB (ofloxacin-resistant group). Compared to the ofloxacin-susceptible group, the ofloxacin-resistant group was more likely to have a history of MDR-TB treatment (P < 0.001) and cavitary lesions on chest radiography (P < 0.001). In addition, the ofloxacin-resistant group was more likely than the ofloxacin-susceptible group to have resistance to the drugs pyrazinamide (P = 0.003), streptomycin (P = 0.015), prothionamide (P < 0.001), and para-aminosalicylic acid (P < 0.001). Favorable outcomes were more frequently achieved for the ofloxacin-susceptible group than for the ofloxacin-resistant group (91% [156/171] versus 57% [21/37], respectively [P < 0.001]). In multivariable regression logistic analysis, the ofloxacin-susceptible group was about 5.36 (95% confidence interval, 1.55 to 18.53) times more likely than the ofloxacin-resistant group (P < 0.001) to have favorable outcomes. Despite in vitro moxifloxacin susceptibility, the frequency of favorable treatment outcomes for ofloxacin-resistant MDR-TB was significantly lower than that for ofloxacin-susceptible MDR-TB, even when later-generation fluoroquinolones were used, indicating that more-aggressive therapies may be needed for ofloxacin-resistant MDR-TB.
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