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Sethi S, Sharma S, Aggarwal AN, Dhatwalia SK, Rana R, Yadav R. Xpert MTB/XDR assay: rapid TB drug resistance detection. Infection 2024:10.1007/s15010-024-02260-7. [PMID: 38709461 DOI: 10.1007/s15010-024-02260-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 04/03/2024] [Indexed: 05/07/2024]
Abstract
PURPOSE To assess the Xpert MTB/XDR assay's efficiency in promptly detecting resistance to isoniazid, fluoroquinolones, ethionamide, and second-line injectable drugs among tuberculosis (TB) patients. METHODS From August 2020 to July 2021, TB suspected patient samples were enrolled at a tertiary care center for our study. We conducted mycobacterial culture, phenotypic DST using proportion method in liquid culture at WHO-recommended concentrations, and the line probe assay (LPA). Simultaneously, the Index test, Xpert MTB/XDR, was performed following the manufacturer's instructions. RESULTS Among 360 samples, 107 were excluded due to incomplete information. Resistance to isoniazid, levofloxacin and moxifloxacin was found in 45/251, 21/251 and 20/251 samples, respectively by phenotypic DST. The diagnostic accuracy of Index test, taking phenotypic DST as a reference standard, was 95.8%, 99.04%, and 99.05% for isoniazid, levofloxacin, and moxifloxacin, respectively. The Index test assay demonstrated a specificity of 99.1% for detecting SLID resistance, yielding a diagnostic accuracy of 99.2. Comparing the Index test with LPA revealed a significant enhancement in sensitivity for detecting isoniazid resistance (86.7% vs. 82.2%). CONCLUSIONS The Index test exhibited promising outcomes in identifying resistance to isoniazid and fluoroquinolones, surpassing the performance of the LPA. This could be valuable for promptly initiating treatment in cases of drug-resistant tuberculosis.
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Affiliation(s)
- Sunil Sethi
- Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
| | - Shelly Sharma
- Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India
| | - Ashutosh N Aggarwal
- Pulmonary Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Sunil Kumar Dhatwalia
- Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India
| | | | - Rakesh Yadav
- Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India
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2
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Choi YJ, Kim Y, Park HJ, Kim D, Lee H, Kim YA, Lee KA. Development of a multiplex droplet digital PCR method for detection and monitoring of Mycobacterium tuberculosis and drug-resistant tuberculosis. Ann Clin Microbiol Antimicrob 2024; 23:29. [PMID: 38581051 PMCID: PMC10998390 DOI: 10.1186/s12941-024-00687-2] [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: 10/10/2023] [Accepted: 03/21/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND The prevalence of multidrug-resistant tuberculosis (MDR-TB) among Korean tuberculosis patients is about 4.1%, which is higher than the OECD average of 2.6%. Inadequate drug use and poor patient compliance increase MDR-TB prevalence through selective pressure. Therefore, prompt detection of drug resistance in tuberculosis patients at the time of diagnosis and quantitative monitoring of these resistant strains during treatment are crucial. METHODS A multiplex droplet digital PCR (ddPCR) assay was developed and assessed using DNA material of nine Mycobacterium tuberculosis strains with known mutation status that were purchased from the Korean National Tuberculosis Association. We collected a total of 18 MDR-TB residual samples referred for PCR analysis. Total DNA was extracted from the samples and subjected to the quadruplex ddPCR assay. Their results were compared to those of known resistance phenotypes. RESULTS The analytical sensitivity and specificity of the multiplex ddPCR assay for detecting INH, RIF, EMB, FQ, and SM resistance-causing mutations ranged from 71.43 to 100% and 94.12-100%, respectively. Follow-up sample results showed that the quadruplex ddPCR assay was sensitive enough to detect IS6110 and other mutations even after onset of treatment. CONCLUSIONS We developed a sensitive and accurate multiplex ddPCR assay that can detect the presence of tuberculosis quantitatively and resistance-conveying mutations concurrently. This tool could aid clinicians in the diagnosis and treatment monitoring of tuberculosis.
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Affiliation(s)
- Yu Jeong Choi
- Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211, Eonju-ro, Gangnam-gu, Seoul, 06273, Korea
| | - Yoonjung Kim
- Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211, Eonju-ro, Gangnam-gu, Seoul, 06273, Korea
| | - Hye Jung Park
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Dokyun Kim
- Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211, Eonju-ro, Gangnam-gu, Seoul, 06273, Korea
| | - Hyukmin Lee
- Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211, Eonju-ro, Gangnam-gu, Seoul, 06273, Korea
| | - Young Ah Kim
- Department of Laboratory Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Korea
| | - Kyung-A Lee
- Department of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211, Eonju-ro, Gangnam-gu, Seoul, 06273, Korea.
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Farhat M, Cox H, Ghanem M, Denkinger CM, Rodrigues C, Abd El Aziz MS, Enkh-Amgalan H, Vambe D, Ugarte-Gil C, Furin J, Pai M. Drug-resistant tuberculosis: a persistent global health concern. Nat Rev Microbiol 2024:10.1038/s41579-024-01025-1. [PMID: 38519618 DOI: 10.1038/s41579-024-01025-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/12/2024] [Indexed: 03/25/2024]
Abstract
Drug-resistant tuberculosis (TB) is estimated to cause 13% of all antimicrobial resistance-attributable deaths worldwide and is driven by both ongoing resistance acquisition and person-to-person transmission. Poor outcomes are exacerbated by late diagnosis and inadequate access to effective treatment. Advances in rapid molecular testing have recently improved the diagnosis of TB and drug resistance. Next-generation sequencing of Mycobacterium tuberculosis has increased our understanding of genetic resistance mechanisms and can now detect mutations associated with resistance phenotypes. All-oral, shorter drug regimens that can achieve high cure rates of drug-resistant TB within 6-9 months are now available and recommended but have yet to be scaled to global clinical use. Promising regimens for the prevention of drug-resistant TB among high-risk contacts are supported by early clinical trial data but final results are pending. A person-centred approach is crucial in managing drug-resistant TB to reduce the risk of poor treatment outcomes, side effects, stigma and mental health burden associated with the diagnosis. In this Review, we describe current surveillance of drug-resistant TB and the causes, risk factors and determinants of drug resistance as well as the stigma and mental health considerations associated with it. We discuss recent advances in diagnostics and drug-susceptibility testing and outline the progress in developing better treatment and preventive therapies.
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Affiliation(s)
- Maha Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Helen Cox
- Institute of Infectious Disease and Molecular Medicine, Wellcome Centre for Infectious Disease Research and Division of Medical Microbiology, University of Cape Town, Cape Town, South Africa
| | - Marwan Ghanem
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Claudia M Denkinger
- Division of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Infection Research (DZIF), partner site Heidelberg University Hospital, Heidelberg, Germany
| | | | - Mirna S Abd El Aziz
- Division of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Debrah Vambe
- National TB Control Programme, Manzini, Eswatini
| | - Cesar Ugarte-Gil
- School of Public and Population Health, University of Texas Medical Branch, Galveston, TX, USA
| | - Jennifer Furin
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - Madhukar Pai
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada.
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Naidoo K, Perumal R, Ngema SL, Shunmugam L, Somboro AM. Rapid Diagnosis of Drug-Resistant Tuberculosis-Opportunities and Challenges. Pathogens 2023; 13:27. [PMID: 38251335 PMCID: PMC10819693 DOI: 10.3390/pathogens13010027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/08/2023] [Accepted: 12/20/2023] [Indexed: 01/23/2024] Open
Abstract
Global tuberculosis (TB) eradication is undermined by increasing prevalence of emerging resistance to available drugs, fuelling ongoing demand for more complex diagnostic and treatment strategies. Early detection of TB drug resistance coupled with therapeutic decision making guided by rapid characterisation of pre-treatment and treatment emergent resistance remains the most effective strategy for averting Drug-Resistant TB (DR-TB) transmission, reducing DR-TB associated mortality, and improving patient outcomes. Solid- and liquid-based mycobacterial culture methods remain the gold standard for Mycobacterium tuberculosis (MTB) detection and drug susceptibility testing (DST). Unfortunately, delays to result return, and associated technical challenges from requirements for specialised resource and capacity, have limited DST use and availability in many high TB burden resource-limited countries. There is increasing availability of a variety of rapid nucleic acid-based diagnostic assays with adequate sensitivity and specificity to detect gene mutations associated with resistance to one or more drugs. While a few of these assays produce comprehensive calls for resistance to several first- and second-line drugs, there is still no endorsed genotypic drug susceptibility test assay for bedaquiline, pretomanid, and delamanid. The global implementation of regimens comprising these novel drugs in the absence of rapid phenotypic drug resistance profiling has generated a new set of diagnostic challenges and heralded a return to culture-based phenotypic DST. In this review, we describe the available tools for rapid diagnosis of drug-resistant tuberculosis and discuss the associated opportunities and challenges.
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Affiliation(s)
- Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa (S.L.N.); (L.S.); (A.M.S.)
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban 4001, South Africa
| | - Rubeshan Perumal
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa (S.L.N.); (L.S.); (A.M.S.)
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban 4001, South Africa
| | - Senamile L. Ngema
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa (S.L.N.); (L.S.); (A.M.S.)
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban 4001, South Africa
| | - Letitia Shunmugam
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa (S.L.N.); (L.S.); (A.M.S.)
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban 4001, South Africa
| | - Anou M. Somboro
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa (S.L.N.); (L.S.); (A.M.S.)
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban 4001, South Africa
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Banada PP, Green R, Streck D, Kurvathi R, Reiss R, Banik S, Daivaa N, Montalvan I, Jones R, Marras SAE, Chakravorty S, Alland D. An expanded RT-PCR melting temperature coding assay to rapidly identify all known SARS-CoV-2 variants and sub-variants of concern. Sci Rep 2023; 13:21927. [PMID: 38081834 PMCID: PMC10713575 DOI: 10.1038/s41598-023-48647-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
The continued emergence of vaccine-resistant SARS-CoV-2 variants of concern (VOC) requires specific identification of each VOC as it arises. Here, we report an expanded version of our previously described sloppy molecular beacon (SMB) melting temperature (Tm) signature-based assay for VOCs, now modified to include detection of Delta (B.1.617.2) and Omicron (B.1.1.529) sub-variants. The SMB-VOC assay targets the signature codons 501, 484 and 452 in the SARS-CoV-2 spike protein which we show can specifically detect and differentiate all known VOCs including the Omicron subvariants (BA.1, BA.2, BA.2.12.1, BA.4/BA.5). The limit of detection (LOD) of the assay was 20, 22 and 36 genomic equivalents (GE) per reaction with the Delta, Omicron BA.1 and BA.2 respectively. Clinical validation of the 3-codon assay in the LC480 instrument showed the assay detected 94% (81/86) of the specimens as WT or VOCs and 6% (5/86) of the tests producing indeterminate results compared to sequencing. Sanger sequencing also failed for four samples. None of the specimens were incorrectly identified as WT or as a different VOC by our assay. Thus, excluding specimens with indeterminant results, the assay was 100% sensitive and 100% specific compared to Sanger sequencing for variant identification. This new assay concept can be easily expanded to add newer variants and can serve as a robust diagnostic tool for selecting appropriate monoclonal antibody therapy and rapid VOC surveillance.
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Affiliation(s)
- Padmapriya P Banada
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA.
| | - Raquel Green
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA
| | - Deanna Streck
- Institute of Genomic Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Rohini Kurvathi
- Institute of Genomic Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Robert Reiss
- Division of Infectious Diseases, Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Sukalyani Banik
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA
| | - Naranjargal Daivaa
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA
| | | | | | - Salvatore A E Marras
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA
| | - Soumitesh Chakravorty
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA
- Cepheid, Sunnyvale, CA, USA
| | - David Alland
- Rutgers New Jersey Medical School, Public Health Research Institute, Newark, NJ, USA.
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6
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Koleske BN, Jacobs WR, Bishai WR. The Mycobacterium tuberculosis genome at 25 years: lessons and lingering questions. J Clin Invest 2023; 133:e173156. [PMID: 37781921 PMCID: PMC10541200 DOI: 10.1172/jci173156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023] Open
Abstract
First achieved in 1998 by Cole et al., the complete genome sequence of Mycobacterium tuberculosis continues to provide an invaluable resource to understand tuberculosis (TB), the leading cause of global infectious disease mortality. At the 25-year anniversary of this accomplishment, we describe how insights gleaned from the M. tuberculosis genome have led to vital tools for TB research, epidemiology, and clinical practice. The increasing accessibility of whole-genome sequencing across research and clinical settings has improved our ability to predict antibacterial susceptibility, to track epidemics at the level of individual outbreaks and wider historical trends, to query the efficacy of the bacille Calmette-Guérin (BCG) vaccine, and to uncover targets for novel antitubercular therapeutics. Likewise, we discuss several recent efforts to extract further discoveries from this powerful resource.
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Affiliation(s)
- Benjamin N. Koleske
- Center for Tuberculosis Research, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - William R. Jacobs
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - William R. Bishai
- Center for Tuberculosis Research, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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7
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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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Kontsevaya I, Cabibbe AM, Cirillo DM, DiNardo AR, Frahm N, Gillespie SH, Holtzman D, Meiwes L, Petruccioli E, Reimann M, Ruhwald M, Sabiiti W, Saluzzo F, Tagliani E, Goletti D. Update on the diagnosis of tuberculosis. Clin Microbiol Infect 2023:S1198-743X(23)00340-3. [PMID: 37490968 DOI: 10.1016/j.cmi.2023.07.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/11/2023] [Accepted: 07/18/2023] [Indexed: 07/27/2023]
Abstract
BACKGROUND Tuberculosis (TB) remains a global public health threat, and the development of rapid and precise diagnostic tools is the key to enabling the early start of treatment, monitoring response to treatment, and preventing the spread of the disease. OBJECTIVES An overview of recent progress in host- and pathogen-based TB diagnostics. SOURCES We conducted a PubMed search of recent relevant articles and guidelines on TB screening and diagnosis. CONTENT An overview of currently used methods and perspectives in the following areas of TB diagnostics is provided: immune-based diagnostics, X-ray, clinical symptoms and scores, cough detection, culture of Mycobacterium tuberculosis and identifying its resistance profile using phenotypic and genotypic methods, including next-generation sequencing, sputum- and non-sputum-based molecular diagnosis of TB and monitoring of response to treatment. IMPLICATIONS A brief overview of the most relevant advances and changes in international guidelines regarding screening and diagnosing TB is provided in this review. It aims at reviewing all relevant areas of diagnostics, including both pathogen- and host-based methods.
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Affiliation(s)
- Irina Kontsevaya
- Division of Clinical Infectious Diseases, Research Center Borstel, 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, United Kingdom.
| | | | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Andrew R DiNardo
- Global TB Program, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA; Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, The Netherlands
| | - Nicole Frahm
- Clinical Development, Bill & Melinda Gates Medical Research Institute, Cambridge, MA, USA
| | | | - David Holtzman
- Clinical Development, Bill & Melinda Gates Medical Research Institute, Cambridge, MA, USA; Section of Infectious Diseases, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Lennard Meiwes
- Division of Clinical Infectious Diseases, Research Center Borstel, 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
| | - Elisa Petruccioli
- Translational Research Unit, National Institute for Infectious Diseases (INMI) "Lazzaro Spallanzani" - IRCCS, Rome, Italy
| | - Maja Reimann
- Division of Clinical Infectious Diseases, Research Center Borstel, 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
| | | | - Wilber Sabiiti
- School of Medicine, University of St Andrews, St Andrews, United Kingdom
| | - Francesca Saluzzo
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Elisa Tagliani
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Delia Goletti
- Translational Research Unit, National Institute for Infectious Diseases (INMI) "Lazzaro Spallanzani" - IRCCS, Rome, Italy
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Dahiya B, Mehta N, Soni A, Mehta PK. Diagnosis of extrapulmonary tuberculosis by GeneXpert MTB/RIF Ultra assay. Expert Rev Mol Diagn 2023; 23:561-582. [PMID: 37318829 DOI: 10.1080/14737159.2023.2223980] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 06/06/2023] [Indexed: 06/17/2023]
Abstract
INTRODUCTION Diagnosis of extrapulmonary tuberculosis (EPTB) is an arduous task owing to different anatomical locations, unusual clinical presentations, and sparse bacillary load in clinical specimens. Although GeneXpert® MTB/RIF is a windfall in TB diagnostics including EPTB, it yields low sensitivities but high specificities in many EPTB specimens. To further improve the sensitivity of GeneXpert®, GeneXpert® Ultra, a fully nested real-time PCR targeting IS6110, IS1081 and rpoB (Rv0664) has been endorsed by the WHO (2017), wherein melt curve analysis is utilized to detect rifampicin-resistance (RIF-R). AREA COVERED We described the assay chemistry/work design of Xpert Ultra and evaluated its performance in several EPTB types, that is, TB lymphadenitis, TB pleuritis, TB meningitis, and so on, against the microbiological reference standard or composite reference standard. Notably, Xpert Ultra exhibited better sensitivities than Xpert, but mostly at the compensation of specificity values. Moreover, Xpert Ultra exhibited low false-negative and false-positive RIF-R results, compared with Xpert. We also detailed other molecular tests, that is, Truenat MTBTM/TruPlus, commercial real-time PCR, line probe assay, and so on, for EPTB diagnosis. EXPERT OPINION A combination of clinical features, imaging, histopathological findings, and Xpert Ultra are adequate for definite EPTB diagnosis so as to initiate an early anti-tubercular therapy.
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Affiliation(s)
- Bhawna Dahiya
- Centre for Biotechnology, Maharshi Dayanand University, Rohtak, India
| | - Neeru Mehta
- Department of Medical Electronics, Ambedkar Delhi Skill & Entrepreneurship University, Shakarpur, New Delhi, India
| | - Aishwarya Soni
- Centre for Biotechnology, Maharshi Dayanand University, Rohtak, India
- Department of Biotechnology, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonipat, India
| | - Promod K Mehta
- Centre for Biotechnology, Maharshi Dayanand University, Rohtak, India
- Microbiology Department, Faculty of Allied Health Sciences, SGT University, Budhera, Gurgaon, India
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Rajendran P, Padmapriyadarsini C, Nair S, Sivakumar S. Newer TB diagnostics: An update. Indian J Tuberc 2023; 70:372-375. [PMID: 37562916 DOI: 10.1016/j.ijtb.2023.04.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 04/06/2023] [Accepted: 04/20/2023] [Indexed: 08/12/2023]
Abstract
In recent years, nucleic-acid amplification tests (NAATs), which are highly specific and sensitive, have helped to transform the TB diagnostic landscape. According to the WHO 2021 Guidelines on Diagnostics, the NAATs used in TB diagnosis at the point of care (POC) include Xpert MTB/RIF a cartridge-based test manufactured by Cepheid, and Truenat a chip-based test manufactured by Molbio. Other POC tests that are expected to be implemented in near future include Xpert Omni and Xpert MTB/XDR. The use of line probe assay is involved at the level of reference labs for the detection of MTB and its resistance to first-line (Isoniazid and Rifampicin) and second-line (fluoroquinolones and second-line injectables) drugs. When the currently available NAATs detect mutations for drug resistance at a particular region of MTB sequence, the Whole genome sequencing (WGS) platform demonstrates the exceptional potential for reliable and comprehensive resistance prediction for MTB isolates, by multiple gene regions or whole genome sequence analysis allowing for accurate clinical decisions.
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Affiliation(s)
- Priya Rajendran
- ICMR-National Institute for Research in Tuberculosis, Chetpet, Chennai, India
| | - C Padmapriyadarsini
- ICMR-National Institute for Research in Tuberculosis, Chetpet, Chennai, India.
| | | | - S Sivakumar
- ICMR-National Institute for Research in Tuberculosis, Chetpet, Chennai, India
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Chen X, Li R, Ge S, Li Y, Cai C, Weng T, Zhang Y, Jiang J, Feng Z, Chen Y, Zhang Y, Ma J, Persing DH, Chen J, Tang YW, Sun F, Zhang W. Rapid Detection of Extensive Drug Resistance by Xpert MTB/XDR Optimizes Therapeutic Decision-Making in Rifampin-Resistant Tuberculosis Patients. J Clin Microbiol 2023; 61:e0183222. [PMID: 37249422 PMCID: PMC10281159 DOI: 10.1128/jcm.01832-22] [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: 12/16/2022] [Accepted: 04/14/2023] [Indexed: 05/31/2023] Open
Abstract
The Xpert MTB/XDR assay met the critical need for etiologic diagnosis of tuberculosis and rifampin resistance in previous studies. However, its benefits in tailoring the treatment regimen and improving the outcome for patients with rifampin-resistant tuberculosis (RR-TB) require further investigation. In this study, the Xpert MTB/XDR assay was used to determine the resistance profile of second-line drugs for RR-TB patients in two registered multicenter clinical trials, TB-TRUST (NCT03867136) and TB-TRUST-plus (NCT04717908), with the aim of testing the efficacy of all-oral shorter regimens in RR-TB patients in China. Patients would receive the fluoroquinolone-based all-oral shorter regimen, the injectable-containing regimen, or the bedaquiline-based regimen depending on fluoroquinolone susceptibility by using Xpert MTB/XDR. Among the 497 patients performed with Xpert MTB/XDR, 128 (25.8%) had infections resistant to fluoroquinolones and/or second-line injectable drugs (SLIDs). A total of 371 participants were recruited for the trials, and whole-genome sequencing (WGS) was performed on all corresponding culture-positive baseline strains. Taking the WGS results as the standard, the accuracy of the Xpert MTB/XDR assay in terms of resistance detection was 95.2% to 99.0% for all drugs. A total of 33 cases had inconsistent results, 9 of which were due to resistance heterogeneity. Most of the patients (241/281, 85.8%) had sputum culture conversion at 2 months. In conclusion, the Xpert MTB/XDR assay has the potential to serve as a quick reflex test in patients with RR-TB, as detected via Xpert MTB/RIF, to provide a reliable drug susceptibility profile of the infecting Mycobacterium tuberculosis strain and to initiate optimized treatment promptly.
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Affiliation(s)
- Xinchang Chen
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Rong Li
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shijia Ge
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yang Li
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Cui Cai
- Department of Tuberculosis, Guiyang Public Health Clinical Center, Guiyang, China
| | - Taoping Weng
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Respiratory Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Yilin Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jingwen Jiang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhen Feng
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuanyuan Chen
- Zhejiang Prevention and Treatment Center of Tuberculosis, Zhejiang TCM & WM Hospital, Hangzhou, China
| | - Yungui Zhang
- Department of Tuberculosis, Yunnan Provincial Infectious Diseases Hospital, Kunming, Yunan, China
| | - Jian Ma
- Medical Affairs, Danaher Diagnostic Platform/Cepheid, Shanghai, China
| | - David H. Persing
- Medical Affairs, Danaher Diagnostic Platform/Cepheid, Shanghai, China
| | - Jiazhen Chen
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi-Wei Tang
- Medical Affairs, Danaher Diagnostic Platform/Cepheid, Shanghai, China
| | - Feng Sun
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wenhong Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Key Laboratory of Medical Molecular Virology (MOE/MOH), Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Huashen Institute of Microbes and Infections, Shanghai, China
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12
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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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13
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Syed RR, Catanzaro DG, Colman RE, Cooney CG, Linger Y, Kukhtin AV, Holmberg RC, Norville R, Crudu V, Ciobanu N, Codreanu A, Seifert M, Hillery N, Chiles P, Catanzaro A, Rodwell TC. Clinical Evaluation of the XDR-LFC Assay for the Molecular Detection of Isoniazid, Rifampin, Fluoroquinolone, Kanamycin, Capreomycin, and Amikacin Drug Resistance in a Prospective Cohort. J Clin Microbiol 2023; 61:e0147822. [PMID: 36757183 PMCID: PMC10035299 DOI: 10.1128/jcm.01478-22] [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: 10/05/2022] [Accepted: 01/11/2023] [Indexed: 02/10/2023] Open
Abstract
While the goal of universal drug susceptibility testing has been a key component of the WHO End TB Strategy, in practice, this remains inaccessible to many. Rapid molecular tests for tuberculosis (TB) and antituberculosis drug resistance could significantly improve access to testing. In this study, we evaluated the accuracy of the Akonni Biosystems XDR-TB (extensively drug-resistant TB) TruArray and lateral-flow-cell (XDR-LFC) assay (Akonni Biosystems, Inc., Frederick, MD, USA), a novel assay that detects mutations in seven genes associated with resistance to antituberculosis drugs: katG, the inhA promoter, and the ahpC promoter for isoniazid; rpoB for rifampin; gyrA for fluoroquinolones; rrs and the eis promoter for kanamycin; and rrs for capreomycin and amikacin. We evaluated assay performance using direct sputum samples from 566 participants recruited in a prospective cohort in Moldova over 2 years. The sensitivity and specificity against the phenotypic reference were both 100% for isoniazid, 99.2% and 97.9% for rifampin, 84.8% and 99.1% for fluoroquinolones, 87.0% and 84.1% for kanamycin, 54.3% and 100% for capreomycin, and 79.2% and 100% for amikacin, respectively. Whole-genome sequencing data for a subsample of 272 isolates showed 95 to 99% concordance with the XDR-LFC-reported suspected mutations. The XDR-LFC assay demonstrated a high level of accuracy for multiple drugs and met the WHO's minimum target product profile criteria for isoniazid and rifampin, while the sensitivity for fluoroquinolones and amikacin fell below target thresholds, likely due to the absence of a gyrB target in the assay. With optimization, the XDR-LFC shows promise as a novel near-patient technology to rapidly diagnose drug-resistant tuberculosis.
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Affiliation(s)
- Rehan R Syed
- Department of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Donald G Catanzaro
- Department of Biological Sciences, University of Arkansas, Fayetteville, Arkansas, USA
| | - Rebecca E Colman
- Department of Medicine, University of California, San Diego, La Jolla, California, USA
| | | | | | | | | | | | - Valeriu Crudu
- Phthisiopneumology Institute, Chișinău, Republic of Moldova
| | - Nelly Ciobanu
- Phthisiopneumology Institute, Chișinău, Republic of Moldova
| | | | - Marva Seifert
- Department of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Naomi Hillery
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Peter Chiles
- Department of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Antonino Catanzaro
- Department of Medicine, University of California, San Diego, La Jolla, California, USA
| | - Timothy C Rodwell
- Department of Medicine, University of California, San Diego, La Jolla, California, USA
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14
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Truden S, Sodja E, Žolnir-Dovč M. Drug-Resistant Tuberculosis on the Balkan Peninsula: Determination of Drug Resistance Mechanisms with Xpert MTB/XDR and Whole-Genome Sequencing Analysis. Microbiol Spectr 2023; 11:e0276122. [PMID: 36877052 PMCID: PMC10100718 DOI: 10.1128/spectrum.02761-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 02/12/2023] [Indexed: 03/07/2023] Open
Abstract
The new molecular assay Xpert MTB/XDR (Cepheid, Sunnyvale, CA, USA) was launched in 2021 to detect Mycobacterium tuberculosis (MT) complex with mutations conferring resistance to isoniazid (INH), ethionamide (ETH), fluoroquinolone (FQ), and second-line injectable drugs (SLIDs). The aim of our study was to evaluate the performance of the Xpert MTB/XDR rapid molecular assay on rifampicin-resistant, multidrug-resistant, and pre-extensively resistant tuberculosis (TB) isolates in a clinical laboratory in the Balkan Peninsula compared to a phenotypic drug susceptibility test (pDST). Xpert MTB/XDR was used to test positive Bactec MGIT 960 (Becton, Dickinson and Co., Franklin Lakes, NJ, USA) cultures or DNA isolates. In the case of discrepant results between Xpert MTB/XDR and pDST, the usefulness of whole-genome sequencing (WGS) was emphasized. In our study, 80 MT isolates from different Balkan countries were selectively chosen from the National Mycobacterial Strain Collection in Golnik, Slovenia. Isolates were tested with the Xpert MTB/XDR assay, conventional pDST, and WGS. Xpert MTB/XDR showed high sensitivities of 91.9%, 100%, and 100% for detecting INH, FQ, and SLID resistance, respectively, compared to pDST. In contrast, low sensitivity (51.9%) for ETH resistance was achieved because isolates harbored widespread mutations across the ethA gene. The specificity of Xpert MTB/XDR was 100% for all drugs except for INH (66.7%). Further investigation with WGS revealed -57c→t mutations in the oxyR-ahpC region marked with uncertain significance, which caused the low specificity for detecting INH resistance with the new assay. Xpert MTB/XDR can be used in clinical laboratories for the rapid detection of INH, FQ, and SLID resistance. Moreover, it can be used to rule in resistance to ETH. Additional use of WGS is recommended in cases of discrepant results between pDST and Xpert MTB/XDR. Future improvements of Xpert MTB/XDR with the inclusion of additional genes may increase the usefulness of the assay. IMPORTANCE The Xpert MTB/XDR was tested on drug-resistant Mycobacterium tuberculosis complex isolates from the Balkan Peninsula. Positive Bactec MGIT 960 cultures or DNA isolates were tested as starting material. According to the results of our study with Xpert MTB/XDR, sensitivities for the detection of SLID, FQ, and INH resistance were sufficient (>90%) for the assay to be implemented into diagnostic algorithms. In our study, WGS revealed lesser-known mutations in genes conferring INH and ETH resistance, and their impact on resistance is still unknown. Mutations in the ethA gene causing resistance to ETH were scattered along structural gene without high-confidence markers for resistance. Therefore, resistance to ETH should be reported based on a combination of methods. Because the Xpert MTB/XDR assay was found to have good performance, we propose that it should be the method of choice for confirming resistance to INH, FQ, and SLID and conditionally for resistance to ETH.
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Affiliation(s)
- Sara Truden
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik, Slovenia
| | - Eva Sodja
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik, Slovenia
| | - Manca Žolnir-Dovč
- University Clinic of Respiratory and Allergic Diseases Golnik, Golnik, Slovenia
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15
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Yan M, Zhao Z, Wu T, Liu T, Xu G, Xu H, Ying B. Highly Sensitive Detection of Complicated Mutations of Drug Resistance in Mycobacterium tuberculosis Using a Simple, Accurate, Rapid, and Low-Cost Tailored-Design Competitive Wild-Type Blocking Assay. SMALL METHODS 2023; 7:e2201322. [PMID: 36683186 DOI: 10.1002/smtd.202201322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/12/2022] [Indexed: 06/17/2023]
Abstract
Establishing simple, rapid, and highly sensitive molecular assays is crucial for timely diagnosis and effective treatment of drug-resistant tuberculosis. However, current genotypic drug susceptibility testing (DST) still encounters enormous challenges including lower sensitivity than phenotypic DST and insufficient accuracy. Herein, a simple, low-cost, multiplex real-time polymerase chain reaction-based assay is established to achieve highly sensitive detection of low-abundant mutants through competitive wild-type blocking (COWTB). Analytical performance of the COWTB assay can achieve 1% or even 0.1% mutants under background of 10 000 wild-type genomes/test. Furthermore, clinical practice feasibility is evaluated to identify resistance to rifampicin (RIF), isoniazid (INH), and streptomycin (SM) on 92 actual clinical samples, its sensitivity is 93.8% for RIF and 100% for INH and SM, and specificity is 100% each for RIF, INH, and SM when using DNA sequencing as the reference standard. In comparison, the sensitivity of reverse dot blotting assay commonly used in clinics is 93.8%, 90.0%, and 84.6%, and the specificity is 96.1%, 98.6%, and 100% for RIF, INH, and SM, respectively. Importantly, the COWTB assay can also be applicable for other drug-resistant mutations and pave a promising detection strategy to fill the gap between phenotypic and genotypic DST for detecting low-abundant drug-resistant M. tuberculosis.
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Affiliation(s)
- Mengqiu Yan
- School of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Zhenzhen Zhao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China
| | - Tao Wu
- Department of Clinical Laboratory Medicine, People's Hospital of Ningxia Hui Autonomous Region (First Affiliated Hospital of Northwest Minzu University), Yinchuan, 750002, P. R. China
| | - Tangyuheng Liu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China
| | - Gaolian Xu
- School of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Hong Xu
- School of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Binwu Ying
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China
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16
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Wu SH, Xiao YX, Hsiao HC, Jou R. Development and Assessment of a Novel Whole-Gene-Based Targeted Next-Generation Sequencing Assay for Detecting the Susceptibility of Mycobacterium tuberculosis to 14 Drugs. Microbiol Spectr 2022; 10:e0260522. [PMID: 36255328 PMCID: PMC9769975 DOI: 10.1128/spectrum.02605-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 09/23/2022] [Indexed: 01/07/2023] Open
Abstract
Targeted next-generation sequencing (tNGS) has emerged as an alternative method for detecting drug-resistant tuberculosis (DR-TB). To provide comprehensive drug susceptibility information and to address mutations missed by available commercial molecular diagnostics, we developed and evaluated a tNGS panel with 22 whole-gene targets using the Ion Torrent platform to predict drug resistance to 14 drugs, namely, rifampicin (RIF), isoniazid (INH), ethambutol (EMB), pyrazinamide (PZA), moxifloxacin (MFX), levofloxacin (LFX), amikacin (AMK), capreomycin (CM), kanamycin (KM), streptomycin (SM), bedaquiline (BDQ), clofazimine (CFZ), linezolid (LZD), and delamanid (DLM). We selected 50 and 35 Mycobacterium tuberculosis isolates with various DR profiles as the training set and the challenge set, respectively. Comparative variant analyses of the DR genes were performed using Sanger sequencing and whole-genome sequencing (WGS). Phenotypic drug susceptibility testing (pDST) results were used as gold standards. Regarding the limit of detection, the tNGS assay detected 2.9 to 3.8% minority variants in 4% mutant mixtures. The sensitivity and specificity of tNGS were 97.0% (95% confidence interval [CI] = 93.1 to 98.7%) and 99.1% (95% CI = 97.7 to 99.7%), respectively. The concordance of tNGS with pDST was 98.5% (95% CI = 97.2 to 99.2%), which was comparable to that of WGS (98.7%, 95% CI = 97.4 to 99.3%) and better than that of Sanger sequencing (96.9%, 95% CI = 95.3 to 98.0%). The agreement between tNGS and pDST was almost perfect for RIF, INH, EMB, MFX, LFX, AMK, CM, KM, SM, BDQ, and LZD (kappa value = 0.807 to 1.000) and substantial for PZA (kappa value = 0.791). Our customized novel whole-gene-based tNGS panel is highly consistent with pDST and WGS for comprehensive and accurate prediction of drug resistance in a strengthened and streamlined DR-TB laboratory program. IMPORTANCE We developed and validated a tNGS assay that was the first to target 22 whole genes instead of regions of drug resistance genes and comprehensively detected susceptibility to 14 anti-TB drugs, with great flexibility to include new or repurposed drugs. Notably, we demonstrated that our custom-designed Ion AmpliSeq TB research panel platform had high concordance with pDST and could significantly reduce turnaround time (by approximately 70%) to meet a clinically actionable time frame. Our tNGS assay is a promising DST solution for providing needed clinical information for precision medicine-guided therapies for DR-TB and allows the rollout of active pharmacovigilance.
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Affiliation(s)
- Sheng-Han Wu
- Tuberculosis Research Center, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
- Reference Laboratory of Mycobacteriology, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
| | - Yu-Xin Xiao
- Tuberculosis Research Center, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
- Reference Laboratory of Mycobacteriology, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
| | - Hseuh-Chien Hsiao
- Tuberculosis Research Center, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
- Reference Laboratory of Mycobacteriology, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
| | - Ruwen Jou
- Tuberculosis Research Center, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
- Reference Laboratory of Mycobacteriology, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
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17
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Stanley S, Liu Q, Fortune SM. Mycobacterium tuberculosis functional genetic diversity, altered drug sensitivity, and precision medicine. Front Cell Infect Microbiol 2022; 12:1007958. [PMID: 36262182 PMCID: PMC9574059 DOI: 10.3389/fcimb.2022.1007958] [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: 07/31/2022] [Accepted: 09/14/2022] [Indexed: 01/27/2023] Open
Abstract
In the face of the unrelenting global burden of tuberculosis (TB), antibiotics remain our most effective tools to save lives and control the spread of Mycobacterium tuberculosis (Mtb). However, we confront a dual challenge in our use of antibiotics: simplifying and shortening the TB drug regimen while also limiting the emergence and propagation of antibiotic resistance. This task is now more feasible due to the increasing availability of bacterial genomic data at or near the point of care. These resources create an opportunity to envision how integration of bacterial genetic determinants of antibiotic response into treatment algorithms might transform TB care. Historically, Mtb drug resistance studies focused on mutations in genes encoding antibiotic targets and the resulting increases in the minimal inhibitory concentrations (MICs) above a breakpoint value. But recent progress in elucidating the effects of functional genetic diversity in Mtb has revealed various genetic loci that are associated with drug phenotypes such as low-level MIC increases and tolerance which predict the development of resistance and treatment failure. As a result, we are now poised to advance precision medicine approaches in TB treatment. By incorporating information regarding Mtb genetic characteristics into the development of drug regimens, clinical care which tailors antibiotic treatment to maximize the likelihood of success has come into reach.
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Affiliation(s)
- Sydney Stanley
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Qingyun Liu
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, United States
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Borodulina EA, Piskun VV, Uraksina MV, Shubina AT. Molecular genetic tests GeneXpert MTB/RIF and Xpert MTB/RIF (Ultra) in the diagnosis of tuberculosis (review of literature). Klin Lab Diagn 2022; 67:544-549. [PMID: 36099465 DOI: 10.51620/0869-2084-2022-67-9-544-549] [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] [Indexed: 06/15/2023]
Abstract
In recent tuberculosis years is the main cause of morbidity and death among patients with HIV infection. Modern diagnostics of tuberculosis includes mass screening of the population: digital fluorography from the age of 15 and immunodiagnostics in children and adolescents. Detection of mycobacterium tuberculosis by microscopy occurs in forms of tuberculosis with the decay of lung tissue. Such patients represent a high epidemic risk. To improve the verification of diagnosis in the practice of a phthisiologist, molecular genetic methods for the search for mycobacteria are increasingly used, based on the identification of specific fragments of the DNA chain in the diagnostic material. The most widely used method is the polymerase chain reaction (PCR), which is based on directed DNA amplification. The latest innovation is fully automated systems using cartridge technology GeneXpert. The advantages of GeneXpert are high sensitivity, speed (result in 2 hours), real-time PCR detection, exclusion of sample contamination. The technique of cartridge technology is constantly being improved, various cartridges are used on its platform, which not only detect M. tuberculosis, but also determine the sensitivity to anti-tuberculosis drugs - rifampicin (MTB / RIF cartridge) or several anti-TB drugs (MTB / XDR). Cartridges have been developed that are able to detect Mycobacterium tuberculosis (MBT) at an even lower concentration in the test material - MTB / RIF (Ultra). GeneXpert technology can be used to diagnose extrapulmonary tuberculosis by examining various biological materials, which are more effective in detecting tuberculosis in children and adolescents, in HIV-positive individuals.
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Nandlal L, Perumal R, Naidoo K. Rapid Molecular Assays for the Diagnosis of Drug-Resistant Tuberculosis. Infect Drug Resist 2022; 15:4971-4984. [PMID: 36060232 PMCID: PMC9438776 DOI: 10.2147/idr.s381643] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 08/20/2022] [Indexed: 11/23/2022] Open
Affiliation(s)
- Louansha Nandlal
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC)-CAPRISA-TB-HIV Pathogenesis and Treatment Research Unit, University of KwaZulu-Natal Nelson R Mandela School of Medicine, Durban, South Africa
| | - Rubeshan Perumal
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC)-CAPRISA-TB-HIV Pathogenesis and Treatment Research Unit, University of KwaZulu-Natal Nelson R Mandela School of Medicine, Durban, South Africa
- Correspondence: Rubeshan Perumal, Centre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC)-CAPRISA-TB-HIV Pathogenesis and Treatment Research Unit, University of KwaZulu-Natal Nelson R Mandela School of Medicine, Durban, South Africa, Email
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), South African Medical Research Council (SAMRC)-CAPRISA-TB-HIV Pathogenesis and Treatment Research Unit, University of KwaZulu-Natal Nelson R Mandela School of Medicine, Durban, South Africa
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20
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Akkerman OW, Duarte R, Tiberi S, Schaaf HS, Lange C, Alffenaar JWC, Denholm J, Carvalho ACC, Bolhuis MS, Borisov S, Bruchfeld J, Cabibbe AM, Caminero JA, Carvalho I, Chakaya J, Centis R, Dalcomo MP, D Ambrosio L, Dedicoat M, Dheda K, Dooley KE, Furin J, García-García JM, van Hest NAH, de Jong BC, Kurhasani X, Märtson AG, Mpagama S, Torrico MM, Nunes E, Ong CWM, Palmero DJ, Ruslami R, Saktiawati AMI, Semuto C, Silva DR, Singla R, Solovic I, Srivastava S, de Steenwinkel JEM, Story A, Sturkenboom MGG, Tadolini M, Udwadia ZF, Verhage AR, Zellweger JP, Migliori GB. Clinical standards for drug-susceptible pulmonary TB. Int J Tuberc Lung Dis 2022; 26:592-604. [PMID: 35768923 PMCID: PMC9272737 DOI: 10.5588/ijtld.22.0228] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 04/20/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND: The aim of these clinical standards is to provide guidance on 'best practice´ for diagnosis, treatment and management of drug-susceptible pulmonary TB (PTB).METHODS: A panel of 54 global experts in the field of TB care, public health, microbiology, and pharmacology were identified; 46 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 46 participants.RESULTS: Seven clinical standards were defined: Standard 1, all patients (adult or child) who have symptoms and signs compatible with PTB should undergo investigations to reach a diagnosis; Standard 2, adequate bacteriological tests should be conducted to exclude drug-resistant TB; Standard 3, an appropriate regimen recommended by WHO and national guidelines for the treatment of PTB should be identified; Standard 4, health education and counselling should be provided for each patient starting treatment; Standard 5, treatment monitoring should be conducted to assess adherence, follow patient progress, identify and manage adverse events, and detect development of resistance; Standard 6, a recommended series of patient examinations should be performed at the end of treatment; Standard 7, necessary public health actions should be conducted for each patient. We also identified priorities for future research into PTB.CONCLUSION: These consensus-based clinical standards will help to improve patient care by guiding clinicians and programme managers in planning and implementation of locally appropriate measures for optimal person-centred treatment for PTB.
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Affiliation(s)
- O W Akkerman
- TB Center Beatrixoord, University Medical Center Groningen, University of Groningen, Haren, the Netherlands, Department of Pulmonary Diseases and Tuberculosis, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - R Duarte
- Centro Hospitalar de Vila Nova de Gaia/Espinho; Instituto de Ciencias Biomédicas de Abel Saalazar, Universidade do Porto, Instituto de Saúde Publica da Universidade do Porto, Unidade de Investigação Clínica, ARS Norte, Porto, Portugal
| | - S Tiberi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Division of Infection, Royal London Hospital, Barts Health NHS Trust, London, UK
| | - H S Schaaf
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - C Lange
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany, German Center for Infection Research (DZIF) Clinical Tuberculosis Unit, Borstel, Germany, Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany, The Global Tuberculosis Program, Texas Children´s Hospital, Immigrant and Global Health, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - 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
| | - J Denholm
- Victorian Tuberculosis Program, Melbourne Health, Department of Infectious diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - A C C Carvalho
- Laboratório de Inovações em Terapias, Ensino e Bioprodutos, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, RJ, Brazil
| | - M S Bolhuis
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - S Borisov
- Moscow Research and Clinical Center for Tuberculosis Control, Moscow, Russia
| | - J Bruchfeld
- Division of Infectious Diseases, Department of Medicine, Karolinska Institutet, Solna, Stockholm, Sweden, Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden
| | - A M Cabibbe
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy
| | - J A Caminero
- Department of Pneumology, University General Hospital of Gran Canaria "Dr Negrin", Las Palmas, Spain, ALOSA (Active Learning over Sanitary Aspects) TB Academy, Spain
| | - I Carvalho
- Pediatric Department, Vila Nova de Gaia Outpatient Tuberculosis Centre, Vila Nova de Gaia Hospital Centre, Vila Nova de Gaia, Portugal
| | - J Chakaya
- Department of Medicine, Therapeutics and Dermatology, Kenyatta University, Nairobi, Kenya, Department of Clinical Sciences. Liverpool School of Tropical Medicine, Liverpool, UK
| | - R Centis
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy
| | - M P Dalcomo
- Reference Center Helio Fraga, FIOCRUZ, Brazil
| | - L D Ambrosio
- Public Health Consulting Group, Lugano, Switzerland
| | - M Dedicoat
- Department of Infectious Diseases, Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - K Dheda
- Centre for Lung Infection and Immunity Unit, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Cape Town, South Africa, South African Medical Research Council Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - K E Dooley
- Center for Tuberculosis Research, Johns Hopkins, Baltimore, MD
| | - J Furin
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | | | - N A H van Hest
- Department of Pulmonary Diseases and Tuberculosis, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands, Municipal Public Health Service Groningen, Groningen, The Netherlands
| | - B C de Jong
- Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - X Kurhasani
- UBT-Higher Education Institution Prishtina, Kosovo
| | - A G Märtson
- Antimicrobial Pharmacodynamics and Therapeutics, Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK
| | - S Mpagama
- Kilimanjaro Christian Medical University College, Moshi, United Republic of Tanzani, Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, United Republic of Tanzania
| | - M Munoz Torrico
- Clínica de Tuberculosis, Instituto Nacional de Enfermedades Respiratorias Ismael Cosio Villegas, México City, Mexico
| | - E Nunes
- Department of Pulmonology of Central Hospital of Maputo, Maputo, Mozambique, Faculty of Medicine of Eduardo Mondlane University, Maputo, Mozambique
| | - C W M Ong
- Infectious Disease Translational Research Programme, Department of Medicine, National University of Singapore, Yong Loo Lin School of Medicine, Singapore, National University of Singapore Institute for Health Innovation & Technology (iHealthtech), Singapore, Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore
| | - D J Palmero
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - R Ruslami
- Department of Biomedical Science, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia, Research Center for Care and Control of Infectious Disease (RC3iD), Universitas Padjadjaran, Bandung, Indonesia
| | - A M I Saktiawati
- Department of Internal Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia, Center for Tropical Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - C Semuto
- Research, Innovation and Data Science Division, Rwanda Biomedical Center, Kigali, Rwanda
| | - D R Silva
- Instituto Vaccarezza, Hospital Muñiz, Buenos Aires, Argentina
| | - R Singla
- National Institute of Tuberculosis & Respiratory Diseases, New Delhi, India
| | - I Solovic
- National Institute of Tuberculosis, Lung Diseases and Thoracic Surgery, Faculty of Health, Catholic University, Ružomberok, Vyšné Hágy, Slovakia
| | - S Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Centre at Tyler, Tyler, TX, USA
| | - J E M de Steenwinkel
- Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre Rotterdam, Rotterdam, the Netherlands
| | - A Story
- Institute of Epidemiology and Healthcare, University College London, London, UK, Find and Treat, University College Hospitals NHS Foundation Trust, London, UK
| | - M G G Sturkenboom
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - 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
| | - Z F Udwadia
- P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - A R Verhage
- Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - J P Zellweger
- TB Competence Center, Swiss Lung Association, Berne, Switzerland
| | - G B Migliori
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy
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21
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Habimana-Mucyo Y, Dushime A, Migambi P, Habiyambere I, Semuto Ngabonziza JC, Decroo T. Continuous surveillance of drug-resistant TB burden in Rwanda: a retrospective cross-sectional study. Int Health 2022:6599066. [PMID: 35653710 DOI: 10.1093/inthealth/ihac039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 04/22/2022] [Accepted: 05/16/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Since the roll-out of the Xpert MTB/RIF assay, continuous surveillance can provide an estimate of rifampicin-resistant TB (RR-TB) prevalence, provided high drug susceptibility testing (DST) coverage is achieved. We use national data from Rwanda to describe rifampicin DST coverage, estimate the prevalence of RR-TB and assess its predictors. METHODS Routinely collected DST data were entered into an electronic TB case-based surveillance system. DST coverage was calculated among all bacteriologically confirmed pulmonary TB patients notified from 1 July 2019 to 30 June 2020 in Rwanda. The prevalence of RR-TB was estimated among those with DST results. Univariable and multivariable analysis was performed to explore predictors for RR TB. RESULTS Among 4066 patients with bacteriologically confirmed pulmonary TB, rifampicin DST coverage was 95.6% (4066/4251). RR-TB was diagnosed in 73 patients. The prevalence of RR-TB was 1.4% (53/3659; 95% CI 1.09 to 1.89%) and 4.9% (20/406; 95% CI 3.03 to 7.51%) in new and previously treated TB cases, respectively. Predictors of RR-TB were: (1) living in Kigali City (adjusted OR [aOR] 1.65, 95% CI 1.03 to 2.65); (2) previous TB treatment (aOR 3.64, 95% CI 2.14 to 6.19); and (3) close contact with a known RR-TB patient (aOR 11.37, 95% CI 4.19 to 30.82). CONCLUSIONS High rifampicin DST coverage for routine reporting allowed Rwanda to estimate the RR-TB prevalence among new and previously treated patients.
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Affiliation(s)
- Yves Habimana-Mucyo
- Tuberculosis and Other Respiratory Communicable Diseases Division; HIV/AIDS, Disease Prevention and Control Department; Rwanda Biomedical Centre, Kigali, Rwanda
| | - Augustin Dushime
- Tuberculosis and Other Respiratory Communicable Diseases Division; HIV/AIDS, Disease Prevention and Control Department; Rwanda Biomedical Centre, Kigali, Rwanda
| | - Patrick Migambi
- Tuberculosis and Other Respiratory Communicable Diseases Division; HIV/AIDS, Disease Prevention and Control Department; Rwanda Biomedical Centre, Kigali, Rwanda
| | - Innocent Habiyambere
- Tuberculosis and Other Respiratory Communicable Diseases Division; HIV/AIDS, Disease Prevention and Control Department; Rwanda Biomedical Centre, Kigali, Rwanda
| | - Jean Claude Semuto Ngabonziza
- National Reference Laboratory, Department of Biomedical Services, Rwanda Biomedical Centre, Kigali, Rwanda.,School of Medicine and Pharmacy, Department of Clinical Biology, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | - Tom Decroo
- Unit of HIV and TB, Department of Clinical Sciences, Institute of Tropical Medicine Antwerp, Antwerp, Belgium
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22
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Pillay S, Steingart KR, Davies GR, Chaplin M, De Vos M, Schumacher SG, Warren R, Theron G. Xpert MTB/XDR for detection of pulmonary tuberculosis and resistance to isoniazid, fluoroquinolones, ethionamide, and amikacin. Cochrane Database Syst Rev 2022; 5:CD014841. [PMID: 35583175 PMCID: PMC9115865 DOI: 10.1002/14651858.cd014841.pub2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND The World Health Organization (WHO) End TB Strategy stresses universal access to drug susceptibility testing (DST). DST determines whether Mycobacterium tuberculosis bacteria are susceptible or resistant to drugs. Xpert MTB/XDR is a rapid nucleic acid amplification test for detection of tuberculosis and drug resistance in one test suitable for use in peripheral and intermediate level laboratories. In specimens where tuberculosis is detected by Xpert MTB/XDR, Xpert MTB/XDR can also detect resistance to isoniazid, fluoroquinolones, ethionamide, and amikacin. OBJECTIVES To assess the diagnostic accuracy of Xpert MTB/XDR for pulmonary tuberculosis in people with presumptive pulmonary tuberculosis (having signs and symptoms suggestive of tuberculosis, including cough, fever, weight loss, night sweats). To assess the diagnostic accuracy of Xpert MTB/XDR for resistance to isoniazid, fluoroquinolones, ethionamide, and amikacin in people with tuberculosis detected by Xpert MTB/XDR, irrespective of rifampicin resistance (whether or not rifampicin resistance status was known) and with known rifampicin resistance. SEARCH METHODS We searched multiple databases to 23 September 2021. We limited searches to 2015 onwards as Xpert MTB/XDR was launched in 2020. SELECTION CRITERIA Diagnostic accuracy studies using sputum in adults with presumptive or confirmed pulmonary tuberculosis. Reference standards were culture (pulmonary tuberculosis detection); phenotypic DST (pDST), genotypic DST (gDST),composite (pDST and gDST) (drug resistance detection). DATA COLLECTION AND ANALYSIS Two review authors independently reviewed reports for eligibility and extracted data using a standardized form. For multicentre studies, we anticipated variability in the type and frequency of mutations associated with resistance to a given drug at the different centres and considered each centre as an independent study cohort for quality assessment and analysis. We assessed methodological quality with QUADAS-2, judging risk of bias separately for each target condition and reference standard. For pulmonary tuberculosis detection, owing to heterogeneity in participant characteristics and observed specificity estimates, we reported a range of sensitivity and specificity estimates and did not perform a meta-analysis. For drug resistance detection, we performed meta-analyses by reference standard using bivariate random-effects models. Using GRADE, we assessed certainty of evidence of Xpert MTB/XDR accuracy for detection of resistance to isoniazid and fluoroquinolones in people irrespective of rifampicin resistance and to ethionamide and amikacin in people with known rifampicin resistance, reflecting real-world situations. We used pDST, except for ethionamide resistance where we considered gDST a better reference standard. MAIN RESULTS We included two multicentre studies from high multidrug-resistant/rifampicin-resistant tuberculosis burden countries, reporting on six independent study cohorts, involving 1228 participants for pulmonary tuberculosis detection and 1141 participants for drug resistance detection. The proportion of participants with rifampicin resistance in the two studies was 47.9% and 80.9%. For tuberculosis detection, we judged high risk of bias for patient selection owing to selective recruitment. For ethionamide resistance detection, we judged high risk of bias for the reference standard, both pDST and gDST, though we considered gDST a better reference standard. Pulmonary tuberculosis detection - Xpert MTB/XDR sensitivity range, 98.3% (96.1 to 99.5) to 98.9% (96.2 to 99.9) and specificity range, 22.5% (14.3 to 32.6) to 100.0% (86.3 to 100.0); median prevalence of pulmonary tuberculosis 91.3%, (interquartile range, 89.3% to 91.8%), (2 studies; 1 study reported on 2 cohorts, 1228 participants; very low-certainty evidence, sensitivity and specificity). Drug resistance detection People irrespective of rifampicin resistance - Isoniazid resistance: Xpert MTB/XDR summary sensitivity and specificity (95% confidence interval (CI)) were 94.2% (87.5 to 97.4) and 98.5% (92.6 to 99.7) against pDST, (6 cohorts, 1083 participants, moderate-certainty evidence, sensitivity and specificity). - Fluoroquinolone resistance: Xpert MTB/XDR summary sensitivity and specificity were 93.2% (88.1 to 96.2) and 98.0% (90.8 to 99.6) against pDST, (6 cohorts, 1021 participants; high-certainty evidence, sensitivity; moderate-certainty evidence, specificity). People with known rifampicin resistance - Ethionamide resistance: Xpert MTB/XDR summary sensitivity and specificity were 98.0% (74.2 to 99.9) and 99.7% (83.5 to 100.0) against gDST, (4 cohorts, 434 participants; very low-certainty evidence, sensitivity and specificity). - Amikacin resistance: Xpert MTB/XDR summary sensitivity and specificity were 86.1% (75.0 to 92.7) and 98.9% (93.0 to 99.8) against pDST, (4 cohorts, 490 participants; low-certainty evidence, sensitivity; high-certainty evidence, specificity). Of 1000 people with pulmonary tuberculosis, detected as tuberculosis by Xpert MTB/XDR: - where 50 have isoniazid resistance, 61 would have an Xpert MTB/XDR result indicating isoniazid resistance: of these, 14/61 (23%) would not have isoniazid resistance (FP); 939 (of 1000 people) would have a result indicating the absence of isoniazid resistance: of these, 3/939 (0%) would have isoniazid resistance (FN). - where 50 have fluoroquinolone resistance, 66 would have an Xpert MTB/XDR result indicating fluoroquinolone resistance: of these, 19/66 (29%) would not have fluoroquinolone resistance (FP); 934 would have a result indicating the absence of fluoroquinolone resistance: of these, 3/934 (0%) would have fluoroquinolone resistance (FN). - where 300 have ethionamide resistance, 296 would have an Xpert MTB/XDR result indicating ethionamide resistance: of these, 2/296 (1%) would not have ethionamide resistance (FP); 704 would have a result indicating the absence of ethionamide resistance: of these, 6/704 (1%) would have ethionamide resistance (FN). - where 135 have amikacin resistance, 126 would have an Xpert MTB/XDR result indicating amikacin resistance: of these, 10/126 (8%) would not have amikacin resistance (FP); 874 would have a result indicating the absence of amikacin resistance: of these, 19/874 (2%) would have amikacin resistance (FN). AUTHORS' CONCLUSIONS Review findings suggest that, in people determined by Xpert MTB/XDR to be tuberculosis-positive, Xpert MTB/XDR provides accurate results for detection of isoniazid and fluoroquinolone resistance and can assist with selection of an optimised treatment regimen. Given that Xpert MTB/XDR targets a limited number of resistance variants in specific genes, the test may perform differently in different settings. Findings in this review should be interpreted with caution. Sensitivity for detection of ethionamide resistance was based only on Xpert MTB/XDR detection of mutations in the inhA promoter region, a known limitation. High risk of bias limits our confidence in Xpert MTB/XDR accuracy for pulmonary tuberculosis. Xpert MTB/XDR's impact will depend on its ability to detect tuberculosis (required for DST), prevalence of resistance to a given drug, health care infrastructure, and access to other tests.
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Affiliation(s)
- Samantha Pillay
- 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
| | - Karen R Steingart
- Honorary Research Fellow, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Geraint R Davies
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Marty Chaplin
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | | | | | - Rob 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
| | - Grant Theron
- 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
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23
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Wu X, Tan G, Yang J, Guo Y, Huang C, Sha W, Yu F. Prediction of Mycobacterium tuberculosis drug resistance by nucleotide MALDI-TOF-MS. Int J Infect Dis 2022; 121:47-54. [PMID: 35523300 DOI: 10.1016/j.ijid.2022.04.061] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/26/2022] [Accepted: 04/28/2022] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES To evaluate the performance of nucleotide matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) in predicting the drug resistance of Mycobacterium tuberculosis. METHODS A total of 115 rifampin-resistant and 53 rifampin-susceptible tuberculosis (TB) clinical isolates were randomly selected from TB strains stored at -80℃ in the clinical laboratory of Shanghai Pulmonary Hospital. Nucleotide MALDI-TOF-MS was performed to predict the drug resistance using phenotypic susceptibility as the gold standard. RESULTS The overall assay sensitivities and specificities of nucleotide MALDI-TOF-MS were 92.2% and 100.0% for rifampin, 90.9% and 98.6% for isoniazid, 71.4% and 81.2% for ethambutol, 85.1% and 93.1% for streptomycin, 94.0% and 100.0% for amikacin, 77.8% and 99.3% for kanamycin, 75.0% and 93.3% for ofloxacin, and 75.0% and 93.3% for moxifloxacin. The concordances between nucleotide MALDI-TOF-MS antimicrobial susceptibility testing (AST) and phenotypic AST were 94.6% (rifampin), 90.1% (isoniazid), 79.2% (ethambutol), 89.9% (streptomycin), 99.4% (amikacin), 97.0% (kanamycin), 88.1% (ofloxacin), and 88.0% (moxifloxacin). CONCLUSION Nucleotide MALDI-TOF-MS could be a promising tool for rapid detection of Mycobacterium tuberculosis drug sensitivity to rifampin, isoniazid, ethambutol, streptomycin, amikacin, kanamycin, ofloxacin, and moxifloxacin.
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Affiliation(s)
- Xiaocui Wu
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Guangkun Tan
- Department of Clinical Laboratory, Shanghai University of Traditional Chinese Medical Attached Shuguang Hospital, Shanghai, China
| | - Jinghui Yang
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yinjuan Guo
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | | | - Wei Sha
- Department of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
| | - Fangyou Yu
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
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Use of Whole-Genome Sequencing to Predict Mycobacterium tuberculosis Complex Drug Resistance from Early Positive Liquid Cultures. Microbiol Spectr 2022; 10:e0251621. [PMID: 35311541 PMCID: PMC9045259 DOI: 10.1128/spectrum.02516-21] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Our objective was to evaluate the performance of whole-genome sequencing (WGS) from early positive liquid cultures for predicting Mycobacterium tuberculosis complex (MTBC) drug resistance. Clinical isolates were obtained from tuberculosis patients at Shanghai Pulmonary Hospital (SPH). Antimicrobial susceptibility testing (AST) was performed, and WGS from early Bactec mycobacterial growth indicator tube (MGIT) 960-positive liquid cultures was performed to predict the drug resistance using the TB-Profiler informatics platform. A total of 182 clinical isolates were enrolled in this study. Using phenotypic AST as the gold standard, the overall sensitivity and specificity for WGS were, respectively, 97.1% (89.8 to 99.6%) and 90.4% (83.4 to 95.1%) for rifampin, 91.0% (82.4 to 96.3%) and 95.2% (89.1 to 98.4%) for isoniazid, 100.0% (89.4 to 100.0%) and 87.3% (80.8 to 92.1%) for ethambutol, 96.6% (88.3 to 99.6%) and 61.8% (52.6 to 70.4%) for streptomycin, 86.8% (71.9 to 95.6%) and 95.8% (91.2 to 98.5%) for moxifloxacin, 86.5% (71.2 to 91.5%) and 95.2% (90.3 to 98.0%) for ofloxacin, 100.0% (54.1 to 100.0%) and 67.6% (60.2 to 74.5%) for amikacin, 100.0% (63.1 to 100.0%) and 67.2% (59.7 to 74.2%) for kanamycin, 62.5% (24.5 to 91.5%) and 88.5% (82.8 to 92.8%) for ethionamide, 33.3% (4.3 to 77.7%) and 98.3% (95.1 to 99.7%) for para-aminosalicylic acid, and 0.0% (0.0 to 12.3%) and 100.0% (97.6 to 100.0%) for cycloserine. The concordances of WGS-based AST and phenotypic AST were as follows: rifampin (92.9%), isoniazid (93.4%), ethambutol (89.6%), streptomycin (73.1%), moxifloxacin (94.0%), ofloxacin (93.4%), amikacin (68.7%), kanamycin (68.7%), ethionamide (87.4%), para-aminosalicylic acid (96.2%) and cycloserine (84.6%). We conclude that WGS could be a promising approach to predict MTBC resistance from early positive liquid cultures. IMPORTANCE In this study, we used whole-genome sequencing (WGS) from early positive liquid (MGIT) cultures instead of solid cultures to predict drug resistance of 182 Mycobacterium tuberculosis complex (MTBC) clinical isolates to predict drug resistance using the TB-Profiler informatics platform. Our study indicates that WGS may be a promising method for predicting MTBC resistance using early positive liquid cultures.
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Hong JM, Lee H, Menon NV, Lim CT, Lee LP, Ong CWM. Point-of-care diagnostic tests for tuberculosis disease. Sci Transl Med 2022; 14:eabj4124. [PMID: 35385338 DOI: 10.1126/scitranslmed.abj4124] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Rapid diagnosis is one key pillar to end tuberculosis (TB). Point-of-care tests (POCTs) facilitate early detection, immediate treatment, and reduced transmission of TB disease. This Review evaluates current diagnostic assays endorsed by the World Health Organization and identifies the gaps between existing conventional tests and the ideal POCT. We discuss the commercial development of new rapid tests and research studies on nonsputum-based diagnostic biomarkers from both pathogen and host. Last, we highlight advances in integrated microfluidics technology that may aid the development of new POCTs.
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Affiliation(s)
- Jia Mei Hong
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
| | - Hyeyoung Lee
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
| | - Nishanth V Menon
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Chwee Teck Lim
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore.,Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore 117599, Singapore.,Mechanobiology Institute, National University of Singapore, Singapore 117411, Singapore
| | - Luke P Lee
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.,Berkeley Sensor and Actuator Center, University of California, Berkeley, Berkeley, CA 94720-1764, USA.,Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.,Biophysics Graduate Program, University of California, Berkeley, Berkeley, CA 94720, USA.,Harvard Medical School, Brigham and Women's Hospital, Harvard Institute of Medicine, Harvard University, Boston, MA 02115, USA.,Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, Korea
| | - Catherine W M Ong
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore.,Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore 117599, Singapore
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Naidoo K, Dookie N. Can the GeneXpert MTB/XDR deliver on the promise of expanded, near-patient tuberculosis drug-susceptibility testing? THE LANCET. INFECTIOUS DISEASES 2022; 22:e121-e127. [PMID: 35227392 DOI: 10.1016/s1473-3099(21)00613-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/01/2021] [Accepted: 09/10/2021] [Indexed: 11/26/2022]
Abstract
Early diagnosis, including universal drug-susceptibility testing for all patients with tuberculosis, remains a key priority for tuberculosis elimination by 2035. The drug-resistant tuberculosis care cascade remains persistently challenged by substantial gaps in timely diagnosis and treatment of drug-resistant tuberculosis. Current diagnostics for drug-resistant tuberculosis are limited with respect to accuracy, time to results, affordability, suitability for resource-poor endemic settings, and accessibility for use at the point of care. WHO endorsement of the novel Xpert MTB/XDR assay holds notable promise for expanding access to testing and rapid diagnosis of tuberculosis drug resistance. The Xpert MTB/XDR assay detects resistance to isoniazid, ethionamide, fluoroquinolones, and second-line injectables, and is indicated for testing in patients with confirmed pulmonary tuberculosis. However, this iteration of the Xpert MTB/XDR cartridge might have less of an effect than expected, as WHO has since downgraded the role of second-line injectable agents in treating drug-resistant tuberculosis, and has revised case definitions of drug-resistant tuberculosis to incorporate resistance to new drugs. This Personal View explores the strengths and limitations of the Xpert MTB/XDR assay in the detection of drug resistance, the assay's ability to inform appropriate drug-resistant tuberculosis drug selection, and the optimal placement of the Xpert XDR assay in the laboratory diagnostic workflow.
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Affiliation(s)
- Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa; South African Medical Research Council (SAMRC) - CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa.
| | - Navisha Dookie
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa; South African Medical Research Council (SAMRC) - CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
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Wang Z, Sun R, Mu C, Wang C, Zhao H, Jiang L, Ju H, Dai W, Zhang F. Characterization of Fluoroquinolone-Resistant and Multidrug-Resistant Mycobacterium tuberculosis Isolates Using Whole-Genome Sequencing in Tianjin, China. Infect Drug Resist 2022; 15:1793-1803. [PMID: 35444430 PMCID: PMC9013706 DOI: 10.2147/idr.s361635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 04/02/2022] [Indexed: 11/23/2022] Open
Abstract
Objective Methods Results Conclusion
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Affiliation(s)
- Zhirui Wang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Rui Sun
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Cheng Mu
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Chunhua Wang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Hui Zhao
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Lina Jiang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Hanfang Ju
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Wenxi Dai
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Fan Zhang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
- Correspondence: Fan Zhang, Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, No. 124, Chifeng Road, Heping District, Tianjin, 300041, People’s Republic of China, Tel +86-22-27124491, Fax +86-22-27117595, Email
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Gill CM, Dolan L, Piggott LM, McLaughlin AM. New developments in tuberculosis diagnosis and treatment. Breathe (Sheff) 2022; 18:210149. [PMID: 35284018 PMCID: PMC8908854 DOI: 10.1183/20734735.0149-2021] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 11/16/2021] [Indexed: 01/12/2023] Open
Abstract
Tuberculosis (TB) is a major cause of morbidity and mortality worldwide. It is estimated that 25% of the world's population are infected with Mycobacterium tuberculosis, with a 5–10% lifetime risk of progression into TB disease. Early recognition of TB disease and prompt detection of drug resistance are essential to halting its global burden. Culture, direct microscopy, biomolecular tests and whole genome sequencing are approved methods of diagnosis; however, their widespread use is often curtailed owing to costs, local resources, time constraints and operator efficiency. Methods of optimising these diagnostics, in addition to developing novel techniques, are under review. The selection of an appropriate drug regimen is dependent on the susceptibility pattern of the isolate detected. At present, there are 16 new drugs under evaluation for TB treatment in phase I or II clinical trials, with an additional 22 drugs in preclinical stages. Alongside the development of these new drugs, most of which are oral medications, new shorter regimes are under evaluation. The aim of these shorter regimens is to encourage patient adherence, and prevent relapse or the evolution of further drug resistance. Screening for TB infection, especially in vulnerable populations, provides an opportunity for intervention prior to progression towards infectious TB disease. New regimens are currently under evaluation to assess the efficacy of shorter durations of treatment in this population. In addition, there is extensive research into the use of post-exposure vaccinations in this cohort. Worldwide collaboration and sharing of expertise are essential to our ultimate aim of global eradication of TB disease. Early detection of drug resistance is essential to our goal of global eradication of TB. Tolerable drugs and shorter regimens promote patient adherence. Treating TB infection in vulnerable groups will prevent further global spread of TB disease.https://bit.ly/3oUW0SN
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Anthwal D, Jamwal S, Gupta RK, Singhal R, Verma AK, Bhalla M, Myneedu VP, Sarin R, Choudhary S, Tyagi JS, Haldar S. Direct Molecular Detection of Drug-Resistant Tuberculosis from Transported Bio-Safe Dried Sputum on Filter-Paper. Curr Microbiol 2022; 79:110. [PMID: 35175411 DOI: 10.1007/s00284-022-02780-1] [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: 11/12/2021] [Accepted: 01/20/2022] [Indexed: 11/27/2022]
Abstract
In 2019, amongst half a million new rifampicin-resistant tuberculosis (TB) cases, 78% were multi drug-resistant TB (MDR-TB). Access to rapid and Universal-Drug susceptibility testing (DST) to patients in remote areas is a major challenge to combat drug-resistant TB. To overcome this challenge, we had recently reported the development of 'TB Concentration & Transport kit' for bio-safe ambient temperature transport of dried sputum on filter-paper (Trans-Filter). The present study was conducted to evaluate the utility of DNA extracted from sputum on Trans-Filter in a Multiplex PCR-based sequencing assay (Mol-DSTseq) for diagnosing drug-resistant TB. The developed Mol-DSTseq assays were standardized on Mycobacterium tuberculosis clinical isolates (n = 98) and further validated on DNA extracted from sputum on Trans-Filter (n = 100). Using phenotypic DST as gold standard, the Mol-DSTseq assay showed 100% (95% Confidence Interval [CI] 79.4-100%) and 73.3% (95% CI 54.1-87.7%) sensitivity for detecting rifampicin and isoniazid resistance with a specificity of 85.1% (95% CI 66.2-95.8%) and 100% (95% CI:82.3-100%), respectively. For fluoroquinolones and aminoglycosides, the Mol-DSTseq assay showed a sensitivity of 78.5% (95% CI 49.2-95.3%) and 66.6% (95% CI 9.4-99.1%) with a specificity of 88.2% (95% CI 72.5-96.7%) and 100% (95% CI 93.1-100%), respectively. The Mol-DSTseq assays exhibited a high concordance of ~ 83-96% (κ value: 0.65-0.81) with phenotypic DST for all drugs. In conclusion, the 'TB Concentration and Transport kit' was compatible with Mol-DSTseq assays and has the potential to provide 'Universal-DST' to patients residing in distant areas in high burden countries, like India for early initiation of anti-tubercular treatment.
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Affiliation(s)
- Divya Anthwal
- Department of Experimental Medicine and Biotechnology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
- Department of Bioscience and Biotechnology, Banasthali Vidyapith, P.O. Banasthali Vidyapith, Tonk, Rajasthan, India
| | - Shaina Jamwal
- Department of Experimental Medicine and Biotechnology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Rakesh Kumar Gupta
- Department of Experimental Medicine and Biotechnology, Post Graduate Institute of Medical Education and Research, Chandigarh, India
- Department of Bioscience and Biotechnology, Banasthali Vidyapith, P.O. Banasthali Vidyapith, Tonk, Rajasthan, India
| | - Ritu Singhal
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases, Mehrauli, New Delhi, India
| | - Ajoy Kumar Verma
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases, Mehrauli, New Delhi, India
| | - Manpreet Bhalla
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases, Mehrauli, New Delhi, India
| | - Vithal Prasad Myneedu
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases, Mehrauli, New Delhi, India
| | - Rohit Sarin
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases, Mehrauli, New Delhi, India
| | - Sangeeta Choudhary
- Department of Bioscience and Biotechnology, Banasthali Vidyapith, P.O. Banasthali Vidyapith, Tonk, Rajasthan, India
| | - Jaya Sivaswami Tyagi
- Department of Biotechnology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Sagarika Haldar
- Department of Experimental Medicine and Biotechnology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
- Translational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad - Gurgaon Expressway, PO box #04, Faridabad, India.
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30
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Immunological role of cluster of differentiation 56 and cluster of differentiation 19 in patients infected with mycobacterium tuberculosis in Iraq. GENE REPORTS 2022. [DOI: 10.1016/j.genrep.2022.101514] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Hasan Z, Shakoor S, Hasan R. Importance of next-generation diagnostics in control of tuberculosis in LMICs. EBioMedicine 2021; 74:103753. [PMID: 34916164 PMCID: PMC8720792 DOI: 10.1016/j.ebiom.2021.103753] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 12/01/2021] [Indexed: 11/21/2022] Open
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Kumar K, Kon OM. Personalised Medicine for Tuberculosis and Non-Tuberculous Mycobacterial Pulmonary Disease. Microorganisms 2021; 9:2220. [PMID: 34835346 PMCID: PMC8624359 DOI: 10.3390/microorganisms9112220] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/25/2021] [Accepted: 10/25/2021] [Indexed: 12/29/2022] Open
Abstract
Personalised medicine, in which clinical management is individualised to the genotypic and phenotypic data of patients, offers a promising means by which to enhance outcomes in the management of mycobacterial pulmonary infections. In this review, we provide an overview of how personalised medicine approaches may be utilised to identify patients at risk of developing tuberculosis (TB) or non-tuberculous mycobacterial pulmonary disease (NTM-PD), diagnose these conditions and guide effective treatment strategies. Despite recent technological and therapeutic advances, TB and NTM-PD remain challenging conditions to diagnose and treat. Studies have identified a range of genetic and immune factors that predispose patients to pulmonary mycobacterial infections. Molecular tests such as nucleic acid amplification assays and next generation sequencing provide a rapid means by which to identify mycobacterial isolates and their antibiotic resistance profiles, thus guiding selection of appropriate antimicrobials. Host-directed therapies and therapeutic drug monitoring offer ways of tailoring management to the clinical needs of patients at an individualised level. Biomarkers may hold promise in differentiating between latent and active TB, as well as in predicting mycobacterial disease progression and response to treatment.
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Affiliation(s)
- Kartik Kumar
- National Heart and Lung Institute, Imperial College London, Dovehouse Street, London SW3 6LY, UK;
- Department of Respiratory Medicine, St Mary’s Hospital, Imperial College Healthcare NHS Trust, Praed Street, London W2 1NY, UK
| | - Onn Min Kon
- National Heart and Lung Institute, Imperial College London, Dovehouse Street, London SW3 6LY, UK;
- Department of Respiratory Medicine, St Mary’s Hospital, Imperial College Healthcare NHS Trust, Praed Street, London W2 1NY, UK
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Xpert MTB/XDR for rapid detection of drug-resistant tuberculosis beyond rifampicin. THE LANCET. INFECTIOUS DISEASES 2021; 22:156-157. [PMID: 34627495 DOI: 10.1016/s1473-3099(21)00481-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 08/02/2021] [Indexed: 11/22/2022]
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34
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Penn-Nicholson A, Georghiou SB, Ciobanu N, Kazi M, Bhalla M, David A, Conradie F, Ruhwald M, Crudu V, Rodrigues C, Myneedu VP, Scott L, Denkinger CM, Schumacher SG. Detection of isoniazid, fluoroquinolone, ethionamide, amikacin, kanamycin, and capreomycin resistance by the Xpert MTB/XDR assay: a cross-sectional multicentre diagnostic accuracy study. THE LANCET. INFECTIOUS DISEASES 2021; 22:242-249. [PMID: 34627496 DOI: 10.1016/s1473-3099(21)00452-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/30/2021] [Accepted: 07/19/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND The WHO End TB Strategy requires drug susceptibility testing and treatment of all people with tuberculosis, but second-line diagnostic testing with line-probe assays needs to be done in experienced laboratories with advanced infrastructure. Fewer than half of people with drug-resistant tuberculosis receive appropriate treatment. We assessed the diagnostic accuracy of the rapid Xpert MTB/XDR automated molecular assay (Cepheid, Sunnyvale, CA, USA) to overcome these limitations. METHODS We did a prospective study involving individuals presenting with pulmonary tuberculosis symptoms and at least one risk factor for drug resistance in four sites in India (New Delhi and Mumbai), Moldova, and South Africa between July 31, 2019, and March 21, 2020. The Xpert MTB/XDR assay was used as a reflex test to detect resistance to isoniazid, fluoroquinolones, ethionamide, amikacin, kanamycin, and capreomycin in adults with positive results for Mycobacterium tuberculosis complex on Xpert MTB/RIF or Ultra (Cepheid). Diagnostic performance was assessed against a composite reference standard of phenotypic drug-susceptibility testing and whole-genome sequencing. This study is registered with ClinicalTrials.gov, number NCT03728725. FINDINGS Of 710 participants, 611 (86%) had results from both Xpert MTB/XDR and the reference standard for any drug and were included in analysis. Sensitivity for Xpert MTB/XDR detection of resistance was 94% (460 of 488, 95% CI 92-96) for isoniazid, 94% (222 of 235, 90-96%) for fluoroquinolones, 54% (178 of 328, 50-61) for ethionamide, 73% (60 of 82, 62-81) for amikacin, 86% (181 of 210, 81-91) for kanamycin, and 61% (53 of 87, 49-70) for capreomycin. Specificity was 98-100% for all drugs. Performance was equivalent to that of line-probe assays. The non-determinate rate of Xpert MTB/XDR (ie, invalid M tuberculosis complex detection) was 2·96%. INTERPRETATION The Xpert MTB/XDR assay showed high diagnostic accuracy and met WHO's minimum target product profile criteria for a next-generation drug susceptibility test. The assay has the potential to diagnose drug-resistant tuberculosis rapidly and accurately and enable optimum treatment. FUNDING German Federal Ministry of Education and Research through KfW, Dutch Ministry of Foreign Affairs, and Australian Department of Foreign Affairs and Trade.
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Affiliation(s)
| | | | - Nelly Ciobanu
- Phthisiopneumology Institute "Chiril Draganiuc", Chișinău, Moldova
| | - Mubin Kazi
- PD Hinduja Hospital and Medical Research Centre, Mumbai, India
| | - Manpreet Bhalla
- National Institute of TB and Respiratory Diseases, New Delhi, India
| | - Anura David
- University of the Witwatersrand, School of Pathology, Johannesburg, South Africa
| | - Francesca Conradie
- University of the Witwatersrand, School of Pathology, Johannesburg, South Africa
| | | | - Valeriu Crudu
- Phthisiopneumology Institute "Chiril Draganiuc", Chișinău, Moldova
| | | | | | - Lesley Scott
- University of the Witwatersrand, School of Pathology, Johannesburg, South Africa
| | - Claudia M Denkinger
- FIND, Geneva, Switzerland; Heidelberg University Hospital, Center of Infectious Diseases, Heidelberg, Germany
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Georghiou SB, Penn-Nicholson A, de Vos M, Macé A, Syrmis MW, Jacob K, Mape A, Parmar H, Cao Y, Coulter C, Ruhwald M, Pandey SK, Schumacher SG, Denkinger CM. Analytical performance of the Xpert MTB/XDR® assay for tuberculosis and expanded resistance detection. Diagn Microbiol Infect Dis 2021; 101:115397. [PMID: 34130215 DOI: 10.1016/j.diagmicrobio.2021.115397] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/15/2021] [Accepted: 04/10/2021] [Indexed: 11/16/2022]
Abstract
In a manufacturer-independent laboratory validation study, the Xpert MTB/XDR® assay demonstrated equivalent limit of detection to Xpert MTB/RIF®, detected 100% of tested resistance mutations and showed some utility for resistance detection in strain mixtures. The Xpert MTB/XDR assay is a reliable, sensitive assay for tuberculosis and expanded resistance detection.
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Affiliation(s)
| | | | | | | | - Melanie W Syrmis
- Queensland Mycobacterium Reference Laboratory, Pathology Queensland, Queensland, Australia; The University of Queensland Centre for Clinical Research, University of Queensland, Queensland, Australia
| | - Kevin Jacob
- Queensland Mycobacterium Reference Laboratory, Pathology Queensland, Queensland, Australia
| | - Alyanna Mape
- Queensland Mycobacterium Reference Laboratory, Pathology Queensland, Queensland, Australia
| | - Heta Parmar
- New Jersey Medical School, Rutgers University, New Jersey, USA
| | - Yuan Cao
- New Jersey Medical School, Rutgers University, New Jersey, USA
| | - Chris Coulter
- Queensland Mycobacterium Reference Laboratory, Pathology Queensland, Queensland, Australia
| | | | - Sushil K Pandey
- Queensland Mycobacterium Reference Laboratory, Pathology Queensland, Queensland, Australia
| | | | - Claudia M Denkinger
- FIND, Geneva, Switzerland; Division of Tropical Medicine, Center of Infectious Diseases, University Hospital of Heidelberg, Heidelberg, Germany
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Husain AA, Kupz A, Kashyap RS. Controlling the drug-resistant tuberculosis epidemic in India: challenges and implications. Epidemiol Health 2021; 43:e2021022. [PMID: 33831293 PMCID: PMC8189845 DOI: 10.4178/epih.e2021022] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 03/31/2021] [Indexed: 12/29/2022] Open
Abstract
India has a higher tuberculosis (TB) burden than any other country, accounting for an estimated one-fourth of the global burden. Drug-resistant tuberculosis (DR-TB) presents a major public health problem in India. Patients with DR-TB often require profound changes in their drug regimens, which are invariably linked to poor treatment adherence and sub-optimal treatment outcomes compared to drug-sensitive TB. The challenge of addressing DR-TB is critical for India, as India contributes over 27% of global DR-TB cases. In recent decades, India has been proactive in its battle against TB, even implementing a revised National Strategic Plan to eliminate TB by 2025. However, to achieve this ambitious goal, the country will need to take a multifaceted approach with respect to its management of DR-TB. Despite concerted efforts made by the National TB Elimination Program, India faces substantial challenges with regard to DR-TB care, especially in peripheral and resource-limited endemic zones. This article describes some of the major challenges associated with mitigating the growing DR-TB epidemic in India and their implications.
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Affiliation(s)
- Aliabbas A Husain
- Research Centre, DR. G.M. Taori Central India Institute of Medical Sciences (CIIMS), Nagpur, India
| | - Andreas Kupz
- Centre for Molecular Therapeutics, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns, Australia
| | - Rajpal S Kashyap
- Research Centre, DR. G.M. Taori Central India Institute of Medical Sciences (CIIMS), Nagpur, India
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Kim PS, Swaminathan S. Ending TB: the world's oldest pandemic. J Int AIDS Soc 2021; 24:e25698. [PMID: 33754449 PMCID: PMC7985566 DOI: 10.1002/jia2.25698] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 03/05/2021] [Indexed: 11/07/2022] Open
Affiliation(s)
- Peter S Kim
- Division of AIDSNational Institute of Allergy and Infectious DiseasesNational Institutes of HealthBethesdaMDUSA
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