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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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2
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Barilar I, Battaglia S, Borroni E, Brandao AP, Brankin A, Cabibbe AM, Carter J, Chetty D, Cirillo DM, Claxton P, Clifton DA, Cohen T, Coronel J, Crook DW, Dreyer V, Earle SG, Escuyer V, Ferrazoli L, Fowler PW, Gao GF, Gardy J, Gharbia S, Ghisi KT, Ghodousi A, Gibertoni Cruz AL, Grandjean L, Grazian C, Groenheit R, Guthrie JL, He W, Hoffmann H, Hoosdally SJ, Hunt M, Iqbal Z, Ismail NA, Jarrett L, Joseph L, Jou R, Kambli P, Khot R, Knaggs J, Koch A, Kohlerschmidt D, Kouchaki S, Lachapelle AS, Lalvani A, Lapierre SG, Laurenson IF, Letcher B, Lin WH, Liu C, Liu D, Malone KM, Mandal A, Mansjö M, Calisto Matias DVL, Meintjes G, de Freitas Mendes F, Merker M, Mihalic M, Millard J, Miotto P, Mistry N, Moore D, Musser KA, Ngcamu D, Nhung HN, Niemann S, Nilgiriwala KS, Nimmo C, O’Donnell M, Okozi N, Oliveira RS, Omar SV, Paton N, Peto TEA, Pinhata JMW, Plesnik S, Puyen ZM, Rabodoarivelo MS, Rakotosamimanana N, Rancoita PMV, Rathod P, Robinson ER, Rodger G, Rodrigues C, Rodwell TC, Roohi A, Santos-Lazaro D, Shah S, Smith G, Kohl TA, Solano W, Spitaleri A, Steyn AJC, Supply P, Surve U, Tahseen S, Thuong NTT, Thwaites G, Todt K, Trovato A, Utpatel C, Van Rie A, Vijay S, Walker AS, Walker TM, Warren R, Werngren J, Wijkander M, Wilkinson RJ, Wilson DJ, Wintringer P, Xiao YX, Yang Y, Yanlin Z, Yao SY, Zhu B. Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach. Nat Commun 2024; 15:488. [PMID: 38216576 PMCID: PMC10786857 DOI: 10.1038/s41467-023-44325-5] [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: 03/06/2023] [Accepted: 12/08/2023] [Indexed: 01/14/2024] Open
Abstract
The World Health Organization has a goal of universal drug susceptibility testing for patients with tuberculosis. However, molecular diagnostics to date have focused largely on first-line drugs and predicting susceptibilities in a binary manner (classifying strains as either susceptible or resistant). Here, we used a multivariable linear mixed model alongside whole genome sequencing and a quantitative microtiter plate assay to relate genomic mutations to minimum inhibitory concentration (MIC) in 15,211 Mycobacterium tuberculosis clinical isolates from 23 countries across five continents. We identified 492 unique MIC-elevating variants across 13 drugs, as well as 91 mutations likely linked to hypersensitivity. Our results advance genetics-based diagnostics for tuberculosis and serve as a curated training/testing dataset for development of drug resistance prediction algorithms.
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Nie Q, Sun D, Zhu M, Tu S, Chen N, Chen H, Zhou Y, Yao G, Zhang X, Zhang T, Yang C, Tao L. Phenotypic drug susceptibility characterization and clinical outcomes of tuberculosis strains with A-probe mutation by GeneXpert MTB/RIF. BMC Infect Dis 2023; 23:832. [PMID: 38012619 PMCID: PMC10680243 DOI: 10.1186/s12879-023-08509-0] [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: 01/30/2023] [Accepted: 08/03/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND GeneXpert MTB/RIF (Xpert) assay was applied widely to detect Mycobacterium tuberculosis (MTB) and rifampicin resistance. METHODS Retrospectively investigated the association among treatment histories, phenotypic drug susceptibility testing (pDST) results, and clinical outcomes of patients infected with probe A absent mutation isolate confirmed by Xpert. RESULTS 63 patients with only probe A absent mutation and 40 with additional pDST results were analyzed. 24 (60.0%) patients had molecular-phenotypic discordant rifampicin (RIF) susceptibility testing results, including 12 (12/13, 92.3%) new tuberculosis (TB) patients and 12 (12/27, 44.4%) retreated ones. 28 (28/39, 71.8%) retreated patients received first-line treatment regime within two years with failed outcomes. New patients had better treatment outcomes than retreated ones (successful: 83.3% VS. 53.8%; P value = 0.02). The clinical results of RIF-susceptible TB confirmed by pDST were not better than RIF-resistant TB (successful: 62.5% VS. 50.0%; P value = 0.43). INH-resistant TB and INH-susceptible TB had similar treatment outcomes too (successful: 61.5% VS. 50.0%; P value = 0.48). 11 (11/12, 91.7%) new patients treated with the short treatment regimen (STR) had successful outcomes. CONCLUSIONS More than half of mono probe A absent isolates had RIF molecular-phenotypic discordance results, especially in new patients. Probe A mutations were significantly associated with unsuccessful clinical outcomes, whether the pDST results were RIF susceptible or not. STR was the best choice for new patients. TRIAL REGISTRATION retrospectively registered in Wuhan Jinyintan Hospital (No. 2021-KY-16).
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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, Tongji Medical College of Huazhong, Wuhan Research Center for Communicable Disease Diagnosis and Treatment, University of Science and Technology, Hubei Clinical Research Center for Infectious Diseases, Chinese Academy of Medical Sciences, Hubei, China
| | - Dan Sun
- Department of Interventional therapy, Wuhan Pulmonary Hospital, Hubei, China
| | - Muxin Zhu
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong, Wuhan Research Center for Communicable Disease Diagnosis and Treatment, University of Science and Technology, Hubei Clinical Research Center for Infectious Diseases, Chinese Academy of Medical Sciences, Hubei, China
| | - Shengjin Tu
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong, Wuhan Research Center for Communicable Disease Diagnosis and Treatment, University of Science and Technology, Hubei Clinical Research Center for Infectious Diseases, Chinese Academy of Medical Sciences, Hubei, China
| | - Nanshan Chen
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong, Wuhan Research Center for Communicable Disease Diagnosis and Treatment, University of Science and Technology, Hubei Clinical Research Center for Infectious Diseases, Chinese Academy of Medical Sciences, Hubei, China
| | - Hua Chen
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong, Wuhan Research Center for Communicable Disease Diagnosis and Treatment, University of Science and Technology, Hubei Clinical Research Center for Infectious Diseases, Chinese Academy of Medical Sciences, Hubei, China
| | - Yong Zhou
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong, Wuhan Research Center for Communicable Disease Diagnosis and Treatment, University of Science and Technology, Hubei Clinical Research Center for Infectious Diseases, Chinese Academy of Medical Sciences, Hubei, China
| | - Ge Yao
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong, Wuhan Research Center for Communicable Disease Diagnosis and Treatment, University of Science and Technology, Hubei Clinical Research Center for Infectious Diseases, Chinese Academy of Medical Sciences, Hubei, China
| | - Xiaoqing Zhang
- Department of MDR/RR-TB, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong, Wuhan Research Center for Communicable Disease Diagnosis and Treatment, University of Science and Technology, Hubei Clinical Research Center for Infectious Diseases, Chinese Academy of Medical Sciences, Hubei, China
| | - Tongcun Zhang
- College of Life Sciences and Health, Wuhan University of Science and Technology, Hubei, China.
| | - Chengfeng Yang
- Hubei Provincial Center for Disease Control and Prevention, Hubei, China.
| | - Lixuan Tao
- Emergency Department, Puren Hospital, Wuhan University of science and technology, Hubei, China.
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Carter J. Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach. RESEARCH SQUARE 2023:rs.3.rs-3378915. [PMID: 37886522 PMCID: PMC10602118 DOI: 10.21203/rs.3.rs-3378915/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
The World Health Organization has a goal of universal drug susceptibility testing for patients with tuberculosis; however, molecular diagnostics to date have focused largely on first-line drugs and predicting binary susceptibilities. We used a multivariable linear mixed model alongside whole genome sequencing and a quantitative microtiter plate assay to relate genomic mutations to minimum inhibitory concentration in 15,211 Mycobacterium tuberculosis patient isolates from 23 countries across five continents. This identified 492 unique MIC-elevating variants across thirteen drugs, as well as 91 mutations likely linked to hypersensitivity. Our results advance genetics-based diagnostics for tuberculosis and serve as a curated training/testing dataset for development of drug resistance prediction algorithms.
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Desikan P, Panwalkar N, Punde RP, Khan Z, Pauranik A, Mirza SB, Chourey M, Anand S, Sachdeva K. Heteroresistance to rifampicin & isoniazid in clinical samples of patients with presumptive drug-resistant tuberculosis in Central India. Indian J Med Res 2023; 157:174-182. [PMID: 37202936 PMCID: PMC10319389 DOI: 10.4103/ijmr.ijmr_607_22] [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: 03/09/2022] [Indexed: 04/28/2023] Open
Abstract
Background & objectives A combination of resistant and susceptible Mycobacterium tuberculosis (MTB) isolated from clinical specimens is referred to as heteroresistance. Heteroresistance leads to difficulties in drug resistance testing and may adversely affect treatment outcomes. The present study estimated the proportion of heteroresistance among MTB in clinical samples of presumptive drug-resistant tuberculosis (TB) patients in Central India. Methods A retrospective analysis of data generated from line probe assay (LPA) at a tertiary care hospital in Central India between January 2013 and December 2018 was carried out. A heteroresistant MTB in a sample was indicated by the presence of both wild-type and mutant-type patterns on an LPA strip. Results Data analysis was carried out on interpretable 11,788 LPA results. Heteroresistance in MTB was detected in 637 (5.4%) samples. Of these, heteroresistance in MTB was detected in 413 (64.8%), 163 (25.5%) and 61 (9.5%) samples with respect to rpoB, katG and inhA genes, respectively. Interpretation & conclusions Heteroresistance is considered a preliminary step in the development of drug resistance. Delayed or suboptimal anti-tubercular therapy in patients with heteroresistance of MTB may elicit full clinical resistance and negatively impact the National TB Elimination Programme. Further studies are, however, needed to determine the impact of heteroresistance on treatment outcomes in individual patients.
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Affiliation(s)
- Prabha Desikan
- ICMR-Bhopal Memorial Hospital & Research Centre, Bhopal, Madhya Pradesh, India
| | | | | | - Zeba Khan
- Department of Microbiology, Bhopal, Madhya Pradesh, India
| | - Ankur Pauranik
- Department of Microbiology, Bhopal, Madhya Pradesh, India
| | | | - Manju Chourey
- Department of Microbiology, Bhopal, Madhya Pradesh, India
| | - Sridhar Anand
- World Health Organization, Ministry of Health & Family Welfare, New Delhi, India
| | - K.S. Sachdeva
- Central TB Division, Ministry of Health & Family Welfare, New Delhi, India
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Welekidan LN, Yimer SA, Skjerve E, Dejene TA, Homberset H, Tønjum T, Brynildsrud O. Whole Genome Sequencing of Drug Resistant and Drug Susceptible Mycobacterium tuberculosis Isolates From Tigray Region, Ethiopia. Front Microbiol 2021; 12:743198. [PMID: 34938276 PMCID: PMC8685502 DOI: 10.3389/fmicb.2021.743198] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 11/15/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Tuberculosis, mainly caused by Mycobacterium tuberculosis (Mtb), is an ancient human disease that gravely affects millions of people annually. We wanted to explore the genetic diversity and lineage-specific association of Mtb with drug resistance among pulmonary tuberculosis patients. Methods: Sputum samples were collected from pulmonary tuberculosis patients at six different healthcare institutions in Tigray, Ethiopia, between July 2018 and August 2019. DNA was extracted from 74 Mtb complex isolates for whole-genome sequencing (WGS). All genomes were typed and screened for mutations with known associations with antimicrobial resistance using in silico methods, and results were cross-verified with wet lab methods. Results: Lineage (L) 4 (55.8%) was predominant, followed by L3 (41.2%); L1 (1.5%) and L2 (1.5%) occurred rarely. The most frequently detected sublineage was CAS (38.2%), followed by Ural (29.4%), and Haarlem (11.8%). The recent transmission index (RTI) was relatively low. L4 and Ural strains were more resistant than the other strains to any anti-TB drug (P < 0.05). The most frequent mutations to RIF, INH, EMB, SM, PZA, ETH, FLQs, and 2nd-line injectable drugs occurred at rpoB S450L, katG S315T, embB M306I/V, rpsL K43R, pncA V139A, ethA M1R, gyrA D94G, and rrs A1401G, respectively. Disputed rpoB mutations were also shown in four (16%) of RIF-resistant isolates. Conclusion: Our WGS analysis revealed the presence of diverse Mtb genotypes. The presence of a significant proportion of disputed rpoB mutations highlighted the need to establish a WGS facility at the regional level to monitor drug-resistant mutations. This will help control the transmission of DR-TB and ultimately contribute to the attainment of 100% DST coverage for TB patients as per the End TB strategy.
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Affiliation(s)
- Letemichael Negash Welekidan
- Department of Production Animal Medicine, Norwegian University of Life Sciences, Oslo, Norway.,Division of Biomedical Sciences, Department of Medical Microbiology and Immunology, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | - Solomon Abebe Yimer
- Coalition for Epidemic Preparedness Innovations, Oslo, Norway.,Unit for Genome Dynamics, Department of Microbiology, University of Oslo, Oslo, Norway
| | - Eystein Skjerve
- Department of Production Animal Medicine, Norwegian University of Life Sciences, Oslo, Norway
| | - Tsehaye Asmelash Dejene
- Division of Biomedical Sciences, Department of Medical Microbiology and Immunology, College of Health Sciences, Mekelle University, Mekelle, Ethiopia
| | - Håvard Homberset
- Unit for Genome Dynamics, Department of Microbiology, University of Oslo, Oslo, Norway
| | - Tone Tønjum
- Unit for Genome Dynamics, Department of Microbiology, University of Oslo, Oslo, Norway.,Unit for Genome Dynamics, Department of Microbiology, Oslo University Hospital, Oslo, Norway
| | - Ola Brynildsrud
- Department of Production Animal Medicine, Norwegian University of Life Sciences, Oslo, Norway.,Norwegian Institute of Public Health, Oslo, Norway
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Liu D, Huang F, Zhang G, He W, Ou X, He P, Zhao B, Zhu B, Liu F, Li Z, Liu C, Xia H, Wang S, Zhou Y, Walker TM, Liu L, Crook DW, Zhao Y. Whole-genome sequencing for surveillance of tuberculosis drug resistance and determination of resistance level in China. Clin Microbiol Infect 2021; 28:731.e9-731.e15. [PMID: 34600118 DOI: 10.1016/j.cmi.2021.09.014] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 09/09/2021] [Accepted: 09/11/2021] [Indexed: 01/07/2023]
Abstract
OBJECTIVES Phenotypic drug susceptibility testing for prediction of tuberculosis (TB) drug resistance is slow and unreliable, limiting individualized therapy and monitoring of national TB data. Our study evaluated whole-genome sequencing (WGS) for its predictive accuracy, use in TB drug-resistance surveillance and ability to quantify the effects of resistance-associated mutations on MICs of anti-TB drugs. METHODS We used WGS to measure the susceptibility of 4880 isolates to ten anti-TB drugs; for pyrazinamide, we used BACTEC MGIT 960. We determined the accuracy of WGS by comparing the prevalence of drug resistance, measured by WGS, with the true prevalence, determined by phenotypic susceptibility testing. We used the Student-Newman-Keuls test to confirm MIC differences of mutations. RESULTS Resistance to isoniazid, rifampin and ethambutol was highly accurately predicted with at least 92.92% (95% confidence interval [CI], 88.19-97.65) sensitivity, resistance to pyrazinamide with 50.52% (95% CI, 40.57-60.47) sensitivity, and resistance to six second-line drugs with 85.05% (95% CI, 80.27-89.83) to 96.01% (95% CI, 93.89-98.13) sensitivity. The rpoB S450L, katG S315T and gyrA D94G mutations always confer high-level resistance, while rpoB L430P, rpoB L452P, fabG1 C-15T and embB G406S often confer low-level resistance or sub-epidemiological cutoff (ECOFF) MIC elevation. CONCLUSION WGS can predict phenotypic susceptibility with high accuracy and could be a valuable tool for drug-resistance surveillance and allow the detection of drug-resistance level; It can be an important approach in TB drug-resistance surveillance and for determining therapeutic schemes.
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Affiliation(s)
- Dongxin Liu
- Chinese Centre for Disease Control and Prevention, Beijing, China; National Clinical Research Centre for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province, China
| | - Fei Huang
- Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Guoliang Zhang
- National Clinical Research Centre for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province, China
| | - Wencong He
- Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Xichao Ou
- Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Ping He
- Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Bing Zhao
- Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Baoli Zhu
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Fei Liu
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Zhiyuan Li
- Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Chunfa Liu
- Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Hui Xia
- Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Shengfen Wang
- Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Yang Zhou
- Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Timothy M Walker
- Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Lei Liu
- National Clinical Research Centre for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province, China
| | - Derrick W Crook
- Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Yanlin Zhao
- Chinese Centre for Disease Control and Prevention, Beijing, China.
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Mahomed S, Mlisana K, Cele L, Naidoo K. Discordant line probe genotypic testing vs culture-based drug susceptibility phenotypic testing in TB endemic KwaZulu-Natal: Impact on bedside clinical decision making. J Clin Tuberc Other Mycobact Dis 2020; 20:100176. [PMID: 32793816 PMCID: PMC7414011 DOI: 10.1016/j.jctube.2020.100176] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
The recommendations for Mycobacterium tuberculosis drug susceptibility testing include both phenotypic and genotypic methods. This concurrent use of differing testing platforms has created an emerging challenge of discordant results, creating a diagnostic dilemma for the laboratorians as well as attending clinicians. We undertook a retrospective study to determine the prevalence of discordant results between the MTBDRplus line probe assay and solid culture-based drug susceptibility testing for rifampicin and isoniazid. The analysis was conducted for the period January 2013 and December 2015 at the Inkosi Albert Luthuli Central Hospital. Rifampicin and isoniazid resistance testing data were "paired" on 8273 isolates for culture-based drug susceptibility testing and line probe assay. The latter method showed high sensitivity and specificity of 93% and 95% respectively for isoniazid testing. For rifampicin testing, sensitivity and specificity were 95% and 75%. Overall, discordance was 14.6% for rifampicin and 7.2% for isoniazid. This report is not intended to determine superiority of one method over another. It is merely to show that discordance does exist between different methods of testing. Given the burden of HIV and Tuberculosis in Sub-Saharan Africa, these findings have clinical significance and huge public health implications. Clinicians should understand the limitations of phenotypic testing methods.
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Affiliation(s)
- Sharana Mahomed
- Centre for the AIDS Programme of Research in South Africa, Nelson R Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Koleka Mlisana
- School of Laboratory Medicine and Medical Sciences, University of KwaZulu–Natal, Durban, South Africa
- National Health Laboratory Service, Durban, South Africa
| | - Lindiwe Cele
- Sefako Makgatho Health Sciences University, Department of Public Health, Epidemiology and Biostatistics Unit, South Africa
| | - Kogieleum Naidoo
- Medical Research Council-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
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Van Deun A, Decroo T, Kya Jai Maug A, Hossain MA, Gumusboga M, Mulders W, Ortuño-Gutiérrez N, Lynen L, de Jong BC, Rieder HL. The perceived impact of isoniazid resistance on outcome of first-line rifampicin-throughout regimens is largely due to missed rifampicin resistance. PLoS One 2020; 15:e0233500. [PMID: 32421749 PMCID: PMC7233532 DOI: 10.1371/journal.pone.0233500] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 05/06/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Meta-analyses on impact of isoniazid-resistant tuberculosis informed the World Health Organization recommendation of a levofloxacin-strengthened rifampicin-based regimen. We estimated the effect of initial rifampicin resistance (Rr) and/or isoniazid resistance (Hr) on treatment failure or relapse. We also determined the frequency of missed initial and acquired Rr to estimate the impact of true Hr. METHODS Retrospective analysis of 7291 treatment episodes with known initial isoniazid and rifampicin status obtained from individual patient databases maintained by the Damien Foundation Bangladesh over 20 years. Drug susceptibility test results were confirmed by the programme's designated supra-national tuberculosis laboratory. To detect missed Rr among isolates routinely classified as Hr, rpoB gene sequencing was done randomly and on a sample selected for suspected missed Rr. RESULTS Initial Hr caused a large recurrence excess after the 8-month regimen for new cases (rifampicin for two months), but had little impact on rifampicin-throughout regimens: (6 months, new cases; 3.8%; OR 0.8, 95%CI:0.3,2.8; 8 months, retreatment cases: 7.3%, OR 1.8; 95%CI:1.3,2.6). Rr was missed in 7.6% of randomly selected "Hr" strains. Acquired Rr was frequent among recurrences on rifampicin-throughout regimens, particularly after the retreatment regimen (31.9%). It was higher in mono-Hr (29.3%; aOR 3.5, 95%CI:1.5,8.5) and poly-Hr (53.3%; aOR 10.2, 95%CI 4.4,23.7) than in susceptible tuberculosis, but virtually absent after the 8-month new case regimen. Comparing Bangladesh (low Rr prevalence) with a high Rr prevalence setting,true Hr corrected for missed Rr caused only 2-3 treatment failures per 1000 TB cases (of whom 27% were retreatments) in both. CONCLUSIONS Our analysis reveals a non-negligible extent of misclassifying as isoniazid resistance of what is actually missed multidrug-resistant tuberculosis. Recommending for such cases a "strengthened" regimen containing a fluoroquinolone provokes a direct route to extensive resistance while offering little benefit against the minor role of true Hr tuberculosis in rifampicin-throughout first-line regimen.
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Affiliation(s)
- Armand Van Deun
- Biomedical Department, Mycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium
| | - Tom Decroo
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
- Research Foundation Flanders, Brussels, Belgium
| | | | | | - Murid Gumusboga
- Biomedical Department, Mycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium
| | - Wim Mulders
- Biomedical Department, Mycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium
| | | | - Lutgarde Lynen
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Bouke C. de Jong
- Biomedical Department, Mycobacteriology Unit, Institute of Tropical Medicine, Antwerp, Belgium
| | - Hans L. Rieder
- Tuberculosis Consultant Services, Kirchlindach, Switzerland
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10
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Grobbelaar M, Louw GE, Sampson SL, van Helden PD, Donald PR, Warren RM. Evolution of rifampicin treatment for tuberculosis. INFECTION GENETICS AND EVOLUTION 2019; 74:103937. [PMID: 31247337 DOI: 10.1016/j.meegid.2019.103937] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 06/20/2019] [Accepted: 06/21/2019] [Indexed: 02/07/2023]
Abstract
Rifampicin was discovered in 1965 and remains one of the most important drugs in tuberculosis treatment that is valued for its sterilizing activity and ability to shorten treatment. Antimicrobial activity of rifampicin was initially proved in vitro; subsequently numerous in vivo studies showed the bactericidal properties and dose-dependent effect of rifampicin. Rifampicin was first during the late 1960s to treat patients suffering from chronic drug-resistant pulmonary TB. Decades later, rifampicin continues to be studied with particular emphasis on whether higher doses could shorten the duration of treatment without increasing relapse or having adverse effects. Lesion-specific drug penetration and pharmacokinetics of rifampicin are improving our understanding of effective concentration while potentially refining drug regimen designs. Another prospective aspect of high-dose rifampicin is its potential use in treating discrepant mutation thereby eliminating the need for MDR treatment. To date, several clinical trials have shown the safety, efficacy, and tolerability of high-dose rifampicin. Currently, high-dose rifampicin has been used successfully in a routine clinical setting for the treatment of high-risk patients. However, the WHO and other relevant policy makers have not committed to implementing a controlled rollout thereof. This review describes the course that rifampicin has travelled to the present-day exploration of high-dose rifampicin treatment.
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Affiliation(s)
- Melanie Grobbelaar
- DST-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.
| | - Gail E Louw
- Institute of Infectious Diseases and Molecular Medicine, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Samantha L Sampson
- DST-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
| | - Paul D van Helden
- DST-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
| | - Peter R Donald
- Department of Paediatrics and Child Health, Desmond Tutu TB Centre, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Robin M Warren
- DST-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
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