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Li YF, Kong XL, Song WM, Li YM, Li YY, Fang WW, Yang JY, Yu CB, Li HC, Liu Y. Genomic analysis of lineage-specific transmission of multidrug resistance tuberculosis in China. Emerg Microbes Infect 2024; 13:2294858. [PMID: 38126135 PMCID: PMC10866052 DOI: 10.1080/22221751.2023.2294858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 12/11/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVES We investigated the genetic diversities and lineage-specific transmission dynamics of multidrug-resistant tuberculosis (MDR-TB), with the goal of determining the potential factors driving the MDR epidemics in China. METHODS We curated a large nationwide Mycobacterium tuberculosis (M. tuberculosis) whole genome sequence data set, including 1313 MDR strains. We reconstructed the phylogeny and mapped the transmission networks of MDR-TB across China using Bayesian inference. To identify drug-resistance variants linked to enhanced transmissibility, we employed ordinary least-squares (OLS) regression analysis. RESULT The majority of MDR-TB strains in China belong to lineage 2.2.1. Transmission chain analysis has indicated that the repeated and frequent transmission of L2.2.1 plays a central role in the establishment of MDR epidemic in China, but no occurrence of a large predominant MDR outbreak was detected. Using OLS regression, the most common single nucleotide polymorphisms (SNPs) associated with resistance to isoniazid (katG_p.Ser315Thr and katG_p.Ser315Asn) and rifampicin (rpoB_p.Ser450Leu, rpoB_p.His445Tyr, rpoB_p.His445Arg, rpoB_p.His445Asp, and rpoB_p.His445Asn) were more likely to be found in L2 clustered strains. Several putative compensatory mutations in rpoA, rpoC, and katG were significantly associated with clustering. The eastern, central, and southern regions of China had a high level of connectivity for the migration of L2 MDR strains throughout the country. The skyline plot showed distinct population size expansion dynamics for MDR-TB lineages in China. CONCLUSION MDR-TB epidemic in China is predominantly driven by the spread of highly transmissible Beijing strains. A range of drug-resistance mutations of L2 MDR-TB strains displayed minimal fitness costs and may facilitate their transmission.
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Affiliation(s)
- Yi-fan Li
- Department of Respiratory and Critical Care Medicine, The Third Affiliated Hospital of Shandong First Medical University, Jinan, People’s Republic of China
| | - Xiang-long Kong
- Shandong Artificial Intelligence Institute Qilu University of Technology (Shandong Academy of Sciences), Jinan, People’s Republic of China
| | - Wan-mei Song
- Department of Respiratory Medicine, Ruijin Hospital Affiliated to Shanghai Jiaotong University, Shanghai, People’s Republic of China
| | - Ya-meng Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
- Department of Respiratory and Critical Care Medicine, Shandong University of Traditional Chinese Medicine, Jinan, People’s Republic of China
| | - Ying-Ying Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
- Department of Respiratory and Critical Care Medicine, Shandong University of Traditional Chinese Medicine, Jinan, People’s Republic of China
| | - Wei-wei Fang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
| | - Jie-yu Yang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
| | - Chun-Bao Yu
- Center for Integrative and Translational Medicine, Shandong Public Health Clinical Center, Jinan, People’s Republic of China
| | - Huai-chen Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
| | - Yao Liu
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, People’s Republic of China
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Liu D, Huang F, Li Y, Mao L, He W, Wu S, Xia H, He P, Zheng H, Zhou Y, Zhao B, Ou X, Song Y, Song Z, Mei L, Liu L, Zhang G, Wei Q, Zhao Y. Transmission characteristics in Tuberculosis by WGS: nationwide cross-sectional surveillance in China. Emerg Microbes Infect 2024; 13:2348505. [PMID: 38686553 PMCID: PMC11097701 DOI: 10.1080/22221751.2024.2348505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 04/23/2024] [Indexed: 05/02/2024]
Abstract
China, with the third largest share of global tuberculosis cases, faces a substantial challenge in its healthcare system as a result of the high burden of multidrug-resistant and rifampicin-resistant tuberculosis (MDR/RR-TB). This study employs a genomic epidemiological approach to assess recent tuberculosis transmissions between individuals, identifying potential risk factors and discerning the role of transmitted resistant isolates in the emergence of drug-resistant tuberculosis in China. We conducted a population-based retrospective study on 5052 Mycobacterium tuberculosis (MTB) isolates from 70 surveillance sites using whole genome sequencing (WGS). Minimum spanning tree analysis identified resistance mutations, while epidemiological data analysis pinpointed transmission risk factors. Of the 5052 isolates, 23% (1160) formed 452 genomic clusters, with 85.6% (387) of the transmissions occurring within the same counties. Individuals with younger age, larger family size, new cases, smear positive, and MDR/RR were at higher odds for recent transmission, while higher education (university and above) and occupation as a non-physical workers emerged as protective factors. At least 61.4% (251/409) of MDR/RR-TB were likely a result of recent transmission of MDR/RR isolates, with previous treatment (crude OR = 2.77), smear-positive (cOR = 2.07) and larger family population (cOR = 1.13) established as risk factors. Our findings highlight that local transmission remains the predominant form of TB transmission in China. Correspondingly, drug-resistant tuberculosis is primarily driven by the transmission of resistant tuberculosis isolates. Targeted interventions for high-risk populations to interrupt transmission within the country will likely provide an opportunity to reduce the prevalence of both tuberculosis and drug-resistant tuberculosis.
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Affiliation(s)
- Dongxin Liu
- National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Fei Huang
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yaru Li
- Department of Nutrition, Beijing Friendship Hospital, Capital Medical University
| | - Lingfeng Mao
- Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, People’s Republic of China
| | - Wencong He
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Sihao Wu
- Joint Research Center for Molecular Diagnosis of Severe Infection in Children, Binjiang Institute of Zhejiang University, Hangzhou, People’s Republic of China
| | - Hui Xia
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Ping He
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Huiwen Zheng
- Laboratory of Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Pediatric Research Institute, Beijing Children’s Hospital, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, National Center for Children’s Health, Beijing, People’s Republic of China
| | - Yang Zhou
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Bing Zhao
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Xichao Ou
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yuanyuan Song
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Zexuan Song
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Li Mei
- National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Li Liu
- National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Guoliang Zhang
- National Clinical Research Center for Infectious Diseases, Guangdong Clinical Research Center for Tuberculosis, Shenzhen Third People’s Hospital, Shenzhen, People’s Republic of China
| | - Qiang Wei
- National Pathogen Resource Center, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yanlin Zhao
- National Tuberculosis Reference Laboratory, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
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Cloutier Charette W, Rabodoarivelo MS, Point F, Knoblauch AM, Andrianomanana FR, Hall MB, Iqbal Z, Supply P, Martin A, Rakotosamimanana N, Grandjean Lapierre S. Concordance of targeted and whole genome sequencing for Mycobacterium tuberculosis genotypic drug susceptibility testing. Diagn Microbiol Infect Dis 2024; 109:116249. [PMID: 38537504 DOI: 10.1016/j.diagmicrobio.2024.116249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 03/04/2024] [Accepted: 03/07/2024] [Indexed: 04/30/2024]
Abstract
Targeted Next Generation Sequencing (tNGS) and Whole Genome Sequencing (WGS) are increasingly used for genotypic drug susceptibility testing (gDST) of Mycobacterium tuberculosis. Thirty-two multi-drugs resistant and 40 drug susceptible isolates from Madagascar were tested with Deeplex® Myc-TB and WGS using the Mykrobe analysis pipeline. Sixty-four of 72 (89 %) yielded concordant categorical gDST results for drugs tested by both assays. Mykrobe didn't detect pncA K96T, pncA Q141P, pncA H51P, pncA H82R, rrs C517T and rpsL K43R mutations, which were identified as minority variants in corresponding isolates by tNGS. One discrepancy (rrs C517T) was associated with insufficient sequencing depth on WGS. Deeplex® Myc-TB didn't detect inhA G-154A which isn't covered by the assay's amplification targets. Despite those targets being included in the Deeplex® Myc-TB assay, a pncA T47A and a deletion in gid were not identified in one isolate respectively. The evaluated WGS and tNGS gDST assays show high but imperfect concordance.
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Affiliation(s)
- William Cloutier Charette
- Department of Microbiology, Infectious Diseases and Immunology, Université de Montréal, Montréal, Québec, Canada; Immunopathology Axis, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada
| | - Marie-Sylvianne Rabodoarivelo
- Mycobacteriology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar; Departamento de Microbiología, Medicina Preventiva y Salud Pública, Universidad de Zaragoza, Spain
| | - Floriane Point
- Immunopathology Axis, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada
| | - Astrid M Knoblauch
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | | | - Michael B Hall
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Zamin Iqbal
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Philip Supply
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Anandi Martin
- Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Belgium
| | | | - Simon Grandjean Lapierre
- Department of Microbiology, Infectious Diseases and Immunology, Université de Montréal, Montréal, Québec, Canada; Immunopathology Axis, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada; Mycobacteriology Unit, Institut Pasteur de Madagascar, Antananarivo, Madagascar.
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Verma H, Chauhan A, Kumar A, Kumar M, Kanchan K. Synchronization of Mycobacterium life cycle: A possible novel mechanism of antimycobacterial drug resistance evolution and its manipulation. Life Sci 2024; 346:122632. [PMID: 38615748 DOI: 10.1016/j.lfs.2024.122632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 03/26/2024] [Accepted: 04/10/2024] [Indexed: 04/16/2024]
Abstract
Mycobacterium Tuberculosis (Mtb) causing Tuberculosis (TB) is a widespread disease infecting millions of people worldwide. Additionally, emergence of drug resistant tuberculosis is a major challenge and concern in high TB burden countries. Most of the drug resistance in mycobacteria is attributed to developing acquired resistance due to spontaneous mutations or intrinsic resistance mechanisms. In this review, we emphasize on the role of bacterial cell cycle synchronization as one of the intrinsic mechanisms used by the bacteria to cope with stress response and perhaps involved in evolution of its drug resistance. The importance of cell cycle synchronization and its function in drug resistance in cancer cells, malarial and viral pathogens is well understood, but its role in bacterial pathogens has yet to be established. From the extensive literature survey, we could collect information regarding how mycobacteria use synchronization to overcome the stress response. Additionally, it has been observed that most of the microbial pathogens including mycobacteria are responsive to drugs predominantly in their logarithmic phase, while they show resistance to antibiotics when they are in the lag or stationary phase. Therefore, we speculate that Mtb might use this novel strategy wherein they regulate their cell cycle upon antibiotic pressure such that they either enter in their low metabolic phase i.e., either the lag or stationary phase to overcome the antibiotic pressure and function as persister cells. Thus, we propose that manipulating the mycobacterial drug resistance could be possible by fine-tuning its cell cycle.
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Affiliation(s)
- Hritika Verma
- Amity Institute of Molecular Medicine and Stem Cell Research, Amity University Uttar Pradesh, Noida 201313, India
| | - Aditi Chauhan
- Amity Institute of Molecular Medicine and Stem Cell Research, Amity University Uttar Pradesh, Noida 201313, India
| | - Awanish Kumar
- Department of Bio Technology, National Institute of Technology, Raipur, India
| | - Manoj Kumar
- Amity Institute of Genome Engineering, Amity University Uttar Pradesh, Noida 201313, India
| | - Kajal Kanchan
- Amity Institute of Molecular Medicine and Stem Cell Research, Amity University Uttar Pradesh, Noida 201313, India.
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Guo J, Han Y, Zhang X, Lin F, Chen L, Feng X. Risk factors of adult isoniazid-resistant and rifampicin-susceptible tuberculosis in Nanjing, 2019-2021. BMC Infect Dis 2024; 24:511. [PMID: 38773443 DOI: 10.1186/s12879-024-09404-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 05/13/2024] [Indexed: 05/23/2024] Open
Abstract
INTRODUCTION This study aimed to analyze the risk factors associated with isoniazid-resistant and rifampicin-susceptible tuberculosis (Hr-TB) in adults. METHOD The clinical data of 1,844 adult inpatients diagnosed with culture-positive pulmonary tuberculosis (PTB) in Nanjing Second Hospital from January 2019 and December 2021 were collected. All culture positive strain from the patient specimens underwent drug susceptibility testing (DST). Among them, 166 patients with Hr-TB were categorized as the Hr-TB group, while the remaining 1,678 patients were classified as having drug-susceptible tuberculosis (DS-TB). Hierarchical logistic regression was employed for multivariate analysis to identify variables associated with Hr-TB. RESULTS Multivariate logistic regression analysis revealed that individuals with diabetes mellitus (DM) (OR 1.472, 95% CI 1.037-2.088, p = 0.030) and a history of previous tuberculosis treatment (OR 2.913, 95% CI 1.971-4.306, p = 0.000) were at higher risk of developing adult Hr-TB, with this risk being more pronounced in male patients. Within the cohort, 1,640 patients were newly treated, and among them, DM (OR 1.662, 95% CI 1.123-2.461, p = 0.011) was identified as risk factors for Hr-TB. CONCLUSIONS Diabetes mellitus is a risk factor for Hr-TB in adults, and the contribution of diabetes as a risk factor was more pronounced in the newly treatment or male subgroup. And previous TB treatment history is also a risk factor for Hr-TB in adults.
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Affiliation(s)
- Jing Guo
- Department of Tuberculosis, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 211132, China
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, 321 Zhongshan Road, Nanjing, Jiangsu Province, 210008, PR China
| | - Yan Han
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, 321 Zhongshan Road, Nanjing, Jiangsu Province, 210008, PR China
| | - Xia Zhang
- Department of Tuberculosis, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 211132, China
| | - Feishen Lin
- Department of Tuberculosis, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 211132, China
| | - Liangyu Chen
- Department of Tuberculosis, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 211132, China
| | - Xuebing Feng
- Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, 321 Zhongshan Road, Nanjing, Jiangsu Province, 210008, PR China.
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Yenew B, Kebede A, Alemu A, Diriba G, Mehammed Z, Amare M, Dagne B, Sinshaw W, Tesfaye E, Beyene D, Abegaz WE. Genotypic and phenotypic drug resistance patterns of Mycobacterium tuberculosis isolated from presumptive pulmonary tuberculosis patients in Ethiopia: A multicenter study. PLoS One 2024; 19:e0303460. [PMID: 38753615 PMCID: PMC11098317 DOI: 10.1371/journal.pone.0303460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 04/25/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND The emergence of drug-resistant tuberculosis (DR-TB) has been a major obstacle to global tuberculosis control programs, especially in developing countries, including Ethiopia. This study investigated drug resistance patterns and associated mutations of Mycobacterium tuberculosis Complex (MTBC) isolates from the Amhara, Gambella, and Benishangul-Gumuz regions of Ethiopia. METHODS A cross-sectional study was conducted using 128 MTBC isolates obtained from patients with presumptive tuberculosis (TB). Phenotypic (BACTEC MGIT 960) and genotypic (MTBDRplus and MTBDRsl assays) methods were used for drug susceptibility testing. Data were entered into Epi-info and analyzed using SPSS version 25. Frequencies and proportions were determined to describe drug resistance levels and associated mutations. RESULTS Of the 127 isolates recovered, 100 (78.7%) were susceptible to four first-line anti-TB drugs. Any drug resistance, polydrug resistance, and multi-drug resistance (MDR) were detected in 21.3% (27), 15.7% (20), and 15% (19) of the isolates, respectively, by phenotypic and/or genotypic methods. Mono-resistance was observed for Isoniazid (INH) (2, 1.6%) and Streptomycin (STR) (2, 1.6%). There were two genotypically discordant RIF-resistant cases and one INH-resistant case. One case of pre-extensively drug-resistant TB (pre-XDR-TB) and one case of extensively drug-resistant TB (XDR-TB) were identified. The most frequent gene mutations associated with INH and rifampicin (RIF) resistance were observed in the katG MUT1 (S315T1) (20, 76.9%) and rpoB (S531L) (10, 52.6%) genes, respectively. Two MDR-TB isolates were resistant to second-line drugs; one had a mutation in the gyrA MUT1 gene, and the other had missing gyrA WT1, gyrA WT3, and rrs WT1 genes without any mutation. CONCLUSIONS The detection of a significant proportion of DR-TB cases in this study suggests that DR-TB is a major public health problem in Ethiopia. Thus, we recommend the early detection and treatment of DR-TB and universal full first-line drug-susceptibility testing in routine system.
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Affiliation(s)
- Bazezew Yenew
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
- Department of Microbiology, Immunology and Parasitology, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Abebaw Kebede
- Department of Microbial, Cellular and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
- Africa Centres for Disease Control and Prevention, Addis Ababa, Ethiopia
| | - Ayinalem Alemu
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Getu Diriba
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Misikir Amare
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Biniyam Dagne
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Ephrem Tesfaye
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Dereje Beyene
- Department of Microbial, Cellular and Molecular Biology, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Woldaregay Erku Abegaz
- Department of Microbiology, Immunology and Parasitology, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
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Tagami Y, Horita N, Kaneko M, Muraoka S, Fukuda N, Izawa A, Kaneko A, Somekawa K, Kamimaki C, Matsumoto H, Tanaka K, Murohashi K, Aoki A, Fujii H, Watanabe K, Hara Y, Kobayashi N, Kaneko T. Whole-Genome Sequencing Predicting Phenotypic Antitubercular Drug Resistance: Meta-analysis. J Infect Dis 2024; 229:1481-1492. [PMID: 37946558 DOI: 10.1093/infdis/jiad480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 10/06/2023] [Accepted: 10/27/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND For simultaneous prediction of phenotypic drug susceptibility test (pDST) for multiple antituberculosis drugs, the whole genome sequencing (WGS) data can be analyzed using either a catalog-based approach, wherein 1 causative mutation suggests resistance, (eg, World Health Organization catalog) or noncatalog-based approach using complicated algorithm (eg, TB-profiler, machine learning). The aim was to estimate the predictive ability of WGS-based tests with pDST as the reference, and to compare the 2 approaches. METHODS Following a systematic literature search, the diagnostic test accuracies for 14 drugs were pooled using a random-effect bivariate model. RESULTS Of 779 articles, 44 with 16 821 specimens for meta-analysis and 13 not for meta-analysis were included. The areas under summary receiver operating characteristic curve suggested test accuracy was excellent (0.97-1.00) for 2 drugs (isoniazid 0.975, rifampicin 0.975), very good (0.93-0.97) for 8 drugs (pyrazinamide 0.946, streptomycin 0.952, amikacin 0.968, kanamycin 0.963, capreomycin 0.965, para-aminosalicylic acid 0.959, levofloxacin 0.960, ofloxacin 0.958), and good (0.75-0.93) for 4 drugs (ethambutol 0.926, moxifloxacin 0.896, ethionamide 0.878, prothionamide 0.908). The noncatalog-based and catalog-based approaches had similar ability for all drugs. CONCLUSIONS WGS accurately identifies isoniazid and rifampicin resistance. For most drugs, positive WGS results reliably predict pDST positive. The 2 approaches had similar ability. CLINICAL TRIALS REGISTRATION UMIN-ID UMIN000049276.
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Affiliation(s)
- Yoichi Tagami
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Nobuyuki Horita
- Chemotherapy Center, Yokohama City University Hospital, Yokohama, Japan
| | - Megumi Kaneko
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Suguru Muraoka
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Nobuhiko Fukuda
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Ami Izawa
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Ayami Kaneko
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Kohei Somekawa
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Chisato Kamimaki
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Hiromi Matsumoto
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Katsushi Tanaka
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Kota Murohashi
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Ayako Aoki
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Hiroaki Fujii
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Keisuke Watanabe
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Yu Hara
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Nobuaki Kobayashi
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Takeshi Kaneko
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
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Kho S, Seung KJ, Huerga H, Bastard M, Khan PY, Mitnick CD, Rich ML, Islam S, Zhizhilashvili D, Yeghiazaryan L, Nikolenko EN, Zarli K, Adnan S, Salahuddin N, Ahmed S, Vargas ZHR, Bekele A, Shaimerdenova A, Tamirat M, Gelin A, Vilbrun SC, Hewison C, Khan U, Franke M. Sputum culture reversion in longer treatments with bedaquiline, delamanid, and repurposed drugs for drug-resistant tuberculosis. Nat Commun 2024; 15:3927. [PMID: 38724531 PMCID: PMC11082252 DOI: 10.1038/s41467-024-48077-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 04/19/2024] [Indexed: 05/12/2024] Open
Abstract
Sputum culture reversion after conversion is an indicator of tuberculosis (TB) treatment failure. We analyze data from the endTB multi-country prospective observational cohort (NCT03259269) to estimate the frequency (primary endpoint) among individuals receiving a longer (18-to-20 month) regimen for multidrug- or rifampicin-resistant (MDR/RR) TB who experienced culture conversion. We also conduct Cox proportional hazard regression analyses to identify factors associated with reversion, including comorbidities, previous treatment, cavitary disease at conversion, low body mass index (BMI) at conversion, time to conversion, and number of likely-effective drugs. Of 1,286 patients, 54 (4.2%) experienced reversion, a median of 173 days (97-306) after conversion. Cavitary disease, BMI < 18.5, hepatitis C, prior treatment with second-line drugs, and longer time to initial culture conversion were positively associated with reversion. Reversion was uncommon. Those with cavitary disease, low BMI, hepatitis C, prior treatment with second-line drugs, and in whom culture conversion is delayed may benefit from close monitoring following conversion.
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Affiliation(s)
- Sooyeon Kho
- Division of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA
| | - Kwonjune J Seung
- Division of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA
- Partners in Health, 800 Boylston Street Suite 300, Boston, MA, USA
| | | | | | - Palwasha Y Khan
- Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK
- Interactive Research and Development Global, Singapore, Singapore
| | - Carole D Mitnick
- Division of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA
- Partners in Health, 800 Boylston Street Suite 300, Boston, MA, USA
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - Michael L Rich
- Division of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA
- Partners in Health, 800 Boylston Street Suite 300, Boston, MA, USA
| | | | | | | | | | - Khin Zarli
- Médecins sans Frontières, Yangon, Myanmar
| | - Sana Adnan
- Indus Hospital and Health Network, Karachi, Pakistan
| | | | - Saman Ahmed
- Interactive Research and Development, Karachi, Pakistan
| | | | - Amsalu Bekele
- Department of Internal Medicine, Tikur Anbessa Specialized Hospital and Addis Ababa University, College of Health Sciences, Addis Ababa, Ethiopia
| | | | | | | | - Stalz Charles Vilbrun
- Haitian Group for the Study of Kaposi's Sarcoma and Opportunistic Infections (GHESKIO), Port-au-Prince, Haiti
| | | | - Uzma Khan
- Interactive Research and Development Global, Singapore, Singapore
| | - Molly Franke
- Partners in Health, 800 Boylston Street Suite 300, Boston, MA, USA.
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
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Getahun M, Beyene D, Mollalign H, Diriba G, Tesfaye E, Yenew B, Taddess M, Sinshaw W, Ameni G. Population structure and spatial distribution of Mycobacterium tuberculosis in Ethiopia. Sci Rep 2024; 14:10455. [PMID: 38714745 PMCID: PMC11076284 DOI: 10.1038/s41598-024-59435-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/10/2024] [Indexed: 05/10/2024] Open
Abstract
Ethiopia is one of the countries with a high tuberculosis (TB) burden, yet little is known about the spatial distribution of Mycobacterium tuberculosis (Mtb) lineages. This study identifies the spoligotyping of 1735 archived Mtb isolates from the National Drug Resistance Survey, collected between November 2011 and June 2013, to investigate Mtb population structure and spatial distribution. Spoligotype International Types (SITs) and lineages were retrieved from online databases. The distribution of lineages was evaluated using Fisher's exact test and logistic regression models. The Global Moran's Index and Getis-Ord Gi statistic were utilized to identify hotspot areas. Our results showed that spoligotypes could be interpreted and led to 4 lineages and 283 spoligotype patterns in 91% of the isolates, including 4% of those with multidrug/rifampicin resistance (MDR/RR) TB. The identified Mtb lineages were lineage 1 (1.8%), lineage 3 (25.9%), lineage 4 (70.6%) and lineage 7 (1.6%). The proportion of lineages 3 and 4 varied by regions, with lineage 3 being significantly greater than lineage 4 in reports from Gambella (AOR = 4.37, P < 0.001) and Tigray (AOR = 3.44, P = 0.001) and lineage 4 being significantly higher in Southern Nations Nationalities and Peoples Region (AOR = 1.97, P = 0.026) than lineage 3. Hotspots for lineage 1 were located in eastern Ethiopia, while a lineage 7 hotspot was identified in northern and western Ethiopia. The five prevalent spoligotypes, which were SIT149, SIT53, SIT25, SIT37 and SIT26 account for 42.8% of all isolates under investigation, while SIT149, SIT53 and SIT21 account for 52-57.8% of drug-resistant TB cases. TB and drug resistant TB are mainly caused by lineages 3 and 4, and significant proportions of the prevalent spoligotypes also influence drug-resistant TB and the total TB burden. Regional variations in lineages may result from both local and cross-border spread.
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Affiliation(s)
- Muluwork Getahun
- Ethiopian Public Health Institute, P.O. Box 1242, Addis Ababa, Ethiopia.
| | - Dereje Beyene
- Department of Microbial, Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Hilina Mollalign
- Ethiopian Public Health Institute, P.O. Box 1242, Addis Ababa, Ethiopia
| | - Getu Diriba
- Ethiopian Public Health Institute, P.O. Box 1242, Addis Ababa, Ethiopia
| | - Ephrem Tesfaye
- Ethiopian Public Health Institute, P.O. Box 1242, Addis Ababa, Ethiopia
| | - Bazezew Yenew
- Ethiopian Public Health Institute, P.O. Box 1242, Addis Ababa, Ethiopia
| | - Mengistu Taddess
- Ethiopian Public Health Institute, P.O. Box 1242, Addis Ababa, Ethiopia
| | - Waganeh Sinshaw
- Ethiopian Public Health Institute, P.O. Box 1242, Addis Ababa, Ethiopia
| | - Gobena Ameni
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia
- Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, United Arab Emirates University, Al Ain, United Arab Emirates
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Chand AB, Basnet A, Maharjan B, Rai G, Joshi YP, Bhatt LR, Sen B, Rai SK. Drug-resistant Mycobacterium tuberculosis among Nepalese patients at a tuberculosis referral center. PLoS One 2024; 19:e0301210. [PMID: 38709710 PMCID: PMC11073693 DOI: 10.1371/journal.pone.0301210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 03/12/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND Multidrug-resistant tuberculosis (MDR-TB), characterized by isoniazid and rifampicin resistance, is caused by chromosomal mutations that restrict treatment options and complicate tuberculosis management. This study sought to investigate the prevalence of pre-extensively drug-resistant (pre-XDR) and extensively drug-resistant (XDR) tuberculosis, as well as mutation pattern, in Nepalese patients with MDR/rifampicin-resistant (RR)-TB strains. METHODS A cross-sectional study was conducted on MDR/RR-TB patients at the German Nepal Tuberculosis Project from June 2017 to June 2018. The MTBDRsl line probe assay identified pre-XDR-TB and XDR-TB. Pre-XDR-TB included MDR/RR-TB with resistance to any fluoroquinolone (FLQ), while XDR-TB included MDR/RR-TB with resistance to any FLQ and at least one additional group A drug. Mutation status was determined by comparing bands on reaction zones [gyrA and gyrB for FLQ resistance, rrs for SILD resistance, and eis for low-level kanamycin resistance, according to the GenoType MTBDRsl VER 2.0, Hain Lifescience GmbH, Nehren, Germany definition of pre-XDR and XDR] to the evaluation sheet. SPSS version 17.0 was used for data analysis. RESULTS Out of a total of 171 patients with MDR/RR-TB, 160 had (93.57%) had MTBC, of whom 57 (35.63%) had pre-XDR-TB and 10 (6.25%) had XDR-TB. Among the pre-XDR-TB strains, 56 (98.25%) were FLQ resistant, while 1 (1.75%) was SLID resistant. The most frequent mutations were found at codons MUT3C (57.14%, 32/56) and MUT1 (23.21%, 13/56) of the gyrA gene. One patient had SLID resistant genotype at the MUT1 codon of the rrs gene (100%, 1/1). XDR-TB mutation bands were mostly detected on MUT1 (30%, 3/10) of the gyrA and rrs, MUT3C (30%, 3/10) of the gyrA, and MUT1 (30%, 3/10) of the rrs. CONCLUSIONS Pre-XDR-TB had a significantly higher likelihood than XDR-TB, with different specific mutation bands present in gyrA and rrs genes.
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Affiliation(s)
- Arun Bahadur Chand
- Department of Microbiology, KIST Medical College and Teaching Hospital, Lalitpur, Nepal
- Department of Medical Microbiology, Shi-Gan International College of Science and Technology, Kathmandu, Nepal
- German Nepal Tuberculosis Project, Kathmandu, Nepal
| | - Ajaya Basnet
- Department of Medical Microbiology, Shi-Gan International College of Science and Technology, Kathmandu, Nepal
| | | | - Ganesh Rai
- Department of Medical Microbiology, Shi-Gan International College of Science and Technology, Kathmandu, Nepal
| | - Yadav Prasad Joshi
- Department of Public Health, Manmohan Memorial Institute of Health Sciences, Kathmandu, Nepal
| | - Lok Raj Bhatt
- Department of Microbiology, KIST Medical College and Teaching Hospital, Lalitpur, Nepal
| | - Bindu Sen
- Department of Dentistry, KIST Medical College and Teaching Hospital, Lalitpur, Nepal
| | - Shiba Kumar Rai
- Department of Medical Microbiology, Shi-Gan International College of Science and Technology, Kathmandu, Nepal
- Department of Microbiology, Nepal Medical College Teaching Hospital, Kathmandu, Nepal
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11
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Zhao B, Zheng H, Timm J, Song Z, Pei S, Xing R, Guo Y, Ma L, Li F, Li Q, Li Y, Huang L, Teng C, Wang N, Gupta A, Juneja S, Huang F, Zhao Y, Ou X. Prevalence and genetic basis of Mycobacterium tuberculosis resistance to pretomanid in China. Ann Clin Microbiol Antimicrob 2024; 23:40. [PMID: 38702782 PMCID: PMC11069242 DOI: 10.1186/s12941-024-00697-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 04/20/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Pretomanid is a key component of new regimens for the treatment of drug-resistant tuberculosis (TB) which are being rolled out globally. However, there is limited information on the prevalence of pre-existing resistance to the drug. METHODS To investigate pretomanid resistance rates in China and its underlying genetic basis, as well as to generate additional minimum inhibitory concentration (MIC) data for epidemiological cutoff (ECOFF)/breakpoint setting, we performed MIC determinations in the Mycobacterial Growth Indicator Tube™ (MGIT) system, followed by WGS analysis, on 475 Mycobacterium tuberculosis (MTB) isolated from Chinese TB patients between 2013 and 2020. RESULTS We observed a pretomanid MIC distribution with a 99% ECOFF equal to 0.5 mg/L. Of the 15 isolates with MIC values > 0.5 mg/L, one (MIC = 1 mg/L) was identified as MTB lineage 1 (L1), a genotype previously reported to be intrinsically less susceptible to pretomanid, two were borderline resistant (MIC = 2-4 mg/L) and the remaining 12 isolates were highly resistant (MIC ≥ 16 mg/L) to the drug. Five resistant isolates did not harbor mutations in the known pretomanid resistant genes. CONCLUSIONS Our results further support a breakpoint of 0.5 mg/L for a non-L1 MTB population, which is characteristic of China. Further, our data point to an unexpected high (14/475, 3%) pre-existing pretomanid resistance rate in the country, as well as to the existence of yet-to-be-discovered pretomanid resistance genes.
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Affiliation(s)
- Bing Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Huiwen Zheng
- Laboratory of Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Children's Hospital, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Beijing Pediatric Research Institute, Capital Medical University, National Center for Children's Health, Beijing, 100045, China
| | | | - Zexuan Song
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Shaojun Pei
- School of Public Health, Peking University, Beijing, 100191, China
| | - Ruida Xing
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yajie Guo
- Laboratory of Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Children's Hospital, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Beijing Pediatric Research Institute, Capital Medical University, National Center for Children's Health, Beijing, 100045, China
| | - Ling Ma
- Institute of Tuberculosis Prevention and Control, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, 730020, China
| | - Feina Li
- Laboratory of Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Children's Hospital, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Beijing Pediatric Research Institute, Capital Medical University, National Center for Children's Health, Beijing, 100045, China
| | - Qing Li
- Institute of Tuberculosis Prevention and Control, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, 730020, China
| | - Yan Li
- Department of Tuberculosis Control, Chengde Center of Disease Prevention and Control, Chengde, 067000, China
| | - Lin Huang
- Department of Tuberculosis Control, Chengde Center of Disease Prevention and Control, Chengde, 067000, China
| | - Chong Teng
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Ni Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | | | | | - Fei Huang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - Yanlin Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - Xichao Ou
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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Zhang H, Dai X, Hu P, Tian L, Li C, Ding B, Yang X, He X. Comparison of targeted next-generation sequencing and the Xpert MTB/RIF assay for detection of Mycobacterium tuberculosis in clinical isolates and sputum specimens. Microbiol Spectr 2024; 12:e0409823. [PMID: 38602399 PMCID: PMC11064545 DOI: 10.1128/spectrum.04098-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 03/13/2024] [Indexed: 04/12/2024] Open
Abstract
Targeted next-generation sequencing (tNGS) can be used to perform Mycobacterium tuberculosis (MTB) complex-specific amplification or target capture directly from sputum samples, yielding simultaneous coverage of many genes and DNA regions associated with antimicrobial resistance (AMR). Performance comparisons of tNGS and another molecular testing tool, Xpert MTB/rifampicin (RIF), have been empirical. Here, using a dilution series of a RIF-resistant clinical isolate of MTB, we found that tNGS had a slightly lower limit of bacterial detection (102 CFU/mL) compared with Xpert MTB/RIF (103 CFU/mL) in culture medium. However, the minimum detection limit of the rpoB S450L mutation in this isolate was significantly lower with tNGS (102 CFU/mL) than with Xpert MTB/RIF (106 CFU/mL). Sputum samples collected from 129 suspected pulmonary tuberculosis patients were also prospectively studied with the clinical diagnosis as a reference, revealing that the sensitivity of tNGS (48.6%) was higher than those of culture (46.8%), Xpert MTB/RIF (39.4%), and smear microscopy (34.9%) testing. Notably, AMR analysis of 56 MTB-positive samples as determined by tNGS revealed high mutation frequencies of 96.4%, 35.7%, 26.8%, and 19.6% in the following AMR-associated genes: rrs, rpoB, katG, and pncA, respectively. The findings of this study provide theoretical support for the differential clinical application of tNGS and Xpert MTB/RIF and suggest that tNGS has greater application value in tuberculosis drug resistance monitoring and prevention.IMPORTANCETargeted next-generation sequencing (tNGS) can be used to perform Mycobacterium tuberculosis (MTB) complex-specific amplification or target capture directly from sputum samples, yielding simultaneous coverage of genes and DNA regions associated with antimicrobial resistance (AMR). Performance comparisons of tNGS and Xpert MTB/rifampicin (RIF) have been empirical. The Xpert MTB/RIF assay is a commercial system that uses the nucleic acid amplification detection method for rapid (2 hours) diagnosis of tuberculosis (TB). The cost of the tNGS and Xpert MTB/RIF assays in this study was similar, at USD 98 and USD 70-104 per sample, respectively, but the time required for tNGS (3 days) was much longer than that required for the Xpert MTB/RIF assay. However, tNGS yielded more accurate results and a larger number of AMR-associated gene mutations, which compensated for the extra time and highlighted the greater application value of tNGS in TB drug resistance monitoring and prevention.
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Affiliation(s)
- Hongtai Zhang
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Xiaowei Dai
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Peilei Hu
- Hunan Chest Hospital, Changsha, Hunan Province, China
| | - Lili Tian
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Chuanyou Li
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Beichuan Ding
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Xinyu Yang
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Xiaoxin He
- Beijing Center for Disease Prevention and Control, Beijing, China
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Bhanushali A, Atre S, Nair P, Thandaseery GA, Shah S, Kuruwa S, Zade A, Nikam C, Gomare M, Chatterjee A. Whole-genome sequencing of clinical isolates from tuberculosis patients in India: real-world data indicates a high proportion of pre-XDR cases. Microbiol Spectr 2024; 12:e0277023. [PMID: 38597637 PMCID: PMC11064594 DOI: 10.1128/spectrum.02770-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 03/11/2024] [Indexed: 04/11/2024] Open
Abstract
Treatment decisions for tuberculosis (TB) in the absence of full drug-susceptibility data can result in amplifying resistance and may compromise treatment outcomes. Genomics of Mycobacterium tuberculosis (M.tb) from clinical samples enables detection of drug resistance to multiple drugs. We performed whole-genome sequencing (WGS) for 600 clinical samples from patients with tuberculosis to identify the drug-resistance profile and mutation spectrum. We documented the reasons reported by clinicians for referral. WGS identified a high proportion (51%) of pre-extensively drug-resistant (pre-XDR) cases followed by multidrug-resistant tuberculosis (MDR-TB) (15.5%). This correlates with the primary reason for referral, as non-response to the first-line treatment (67%) and treatment failure or rifampicin resistance (14%). Multivariate analysis indicated that all young age groups (P < 0.05), male gender (P < 0.05), and Beijing strain (P < 0.01) were significant independent predictors of MDR-TB or MDR-TB+ [pre-extensively drug-resistant tuberculosis (XDR-TB) and XDR-TB]. Ser315Thr (72.5%) in the inhA gene and Ser450Leu in the rpoB gene (65.5%) were the most prevalent mutations, as were resistance-conferring mutations to pyrazinamide (41%) and streptomycin (61.33%). Mutations outside the rifampicin resistance-determining region (RRDR), Ile491Phe and Val170Phe, were seen in 1.3% of cases; disputed mutations in rpoB (Asp435Tyr, His445Asn, His445Leu, and Leu430Pro) were seen in 6% of cases, and mutations to newer drugs such as bedaquiline and linezolid in 1.0% and 7.5% of cases, respectively. This study on clinical samples highlights that there is a high proportion of pre-XDR cases and emerging resistance to newer drugs; ongoing transmission of these strains can cause serious threat to public health; and whole-genome sequencing can effectively identify and support precision medicine for TB. IMPORTANCE The current study is based on real-world data on the TB drug-resistance profile by whole-genome sequencing of 600 clinical samples from patients with TB in India. This study indicates the clinicians' reasons for sending samples for WGS, which is for difficult-to-treat cases and/or relapse and treatment failure. The study reports a significant proportion of cases with pre-XDR-TB strains that warrant policy makers' attention. It reflects the current iterative nature of the diagnostic tests under programmatic conditions that leads to delays in appropriate diagnosis and empirical treatment. India had an estimated burden of 2.95 million TB cases in 2020 and 135,000 multidrug-resistant cases. However, WGS profiles of M.tb from India remains disproportionately poorly represented. This study adds a significant body of data on the mutation profiles seen in M.tb isolated from patients with TB in India, mutations outside the RRDR, disputed mutations, and resistance-conferring mutations to newer drugs such as bedaquiline and linezolid.
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Affiliation(s)
| | - Sachin Atre
- Dr. D.Y. Patil Medical College Hospital and Research Centre, Pune, India
| | - Preethi Nair
- HaystackAnalytics Pvt. Ltd., IIT Bombay, Mumbai, India
| | | | - Sanchi Shah
- HaystackAnalytics Pvt. Ltd., IIT Bombay, Mumbai, India
| | | | - Amrutraj Zade
- HaystackAnalytics Pvt. Ltd., IIT Bombay, Mumbai, India
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Zhang G, Sun X, Fleming J, Ran F, Luo J, Chen H, Ju H, Wang Z, Zhao H, Wang C, Zhang F, Dai X, Yang X, Li C, Liu Y, Wang Y, Zhang X, Jiang Y, Wu Z, Bi L, Zhang H. Genetic factors associated with acquired phenotypic drug resistance and its compensatory evolution during tuberculosis treatment. Clin Microbiol Infect 2024; 30:637-645. [PMID: 38286176 DOI: 10.1016/j.cmi.2024.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 01/15/2024] [Accepted: 01/22/2024] [Indexed: 01/31/2024]
Abstract
OBJECTIVES We elucidated the factors, evolution, and compensation of antimicrobial resistance (AMR) in Mycobacterium tuberculosis (MTB) isolates under dual pressure from the intra-host environment and anti-tuberculosis (anti-TB) drugs. METHODS This retrospective case-control study included 337 patients with pulmonary tuberculosis from 15 clinics in Tianjin, China, with phenotypic drug susceptibility testing results available for at least two time points between January 1, 2009 and December 31, 2016. Patients in the case group exhibited acquired AMR to isoniazid (INH) or rifampicin (RIF), while those in the control group lacked acquired AMR. The whole-genome sequencing (WGS) was conducted on 149 serial longitudinal MTB isolates from 46 patients who acquired or reversed phenotypic INH/RIF-resistance during treatment. The genetic basis, associated factors, and intra-host evolution of acquired phenotypic INH/RIF-resistance were elucidated using a combined analysis. RESULTS Anti-TB interruption duration of ≥30 days showed association with acquired phenotypic INH/RIF resistance (aOR = 2·2, 95% CI, 1·0-5·1) and new rpoB mutations (p = 0·024). The MTB evolution was 1·2 (95% CI, 1·02-1·38) single nucleotide polymorphisms per genome per year under dual pressure from the intra-host environment and anti-TB drugs. AMR-associated mutations occurred before phenotypic AMR appearance in cases with acquired phenotypic INH (10 of 16) and RIF (9 of 22) resistances. DISCUSSION Compensatory evolution may promote the fixation of INH/RIF-resistance mutations and affect phenotypic AMR. The TB treatment should be adjusted based on gene sequencing results, especially in persistent culture positivity during treatment, which highlights the clinical importance of WGS in identifying reinfection and AMR acquisition before phenotypic drug susceptibility testing.
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Affiliation(s)
- Guoqin Zhang
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China; Tianjin Center for Tuberculosis Control, Tianjin, China; University of Chinese Academy of Sciences, Beijing, China
| | - Xianhui Sun
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Joy Fleming
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Fanlei Ran
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Jianjun Luo
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Hong Chen
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Hanfang Ju
- Tianjin Center for Tuberculosis Control, Tianjin, China
| | - Zhirui Wang
- Tianjin Center for Tuberculosis Control, Tianjin, China
| | - Hui Zhao
- Tianjin Center for Tuberculosis Control, Tianjin, China
| | - Chunhua Wang
- Tianjin Center for Tuberculosis Control, Tianjin, China
| | - Fan Zhang
- Tianjin Center for Tuberculosis Control, Tianjin, China
| | - Xiaowei Dai
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Xinyu Yang
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Chuanyou Li
- Biobank of Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumour Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Yi Liu
- Biobank of Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumour Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | | | - Xilin Zhang
- Foshan Fourth People's Hospital, Foshan, China
| | - Yuan Jiang
- Shanghai Municipal Center for Disease Prevention and Control, Beijing, China
| | - Zhilong Wu
- Foshan Fourth People's Hospital, Foshan, China
| | - Lijun Bi
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China; Guangzhou National Laboratory, Guangzhou, China; University of Chinese Academy of Sciences, Beijing, China
| | - Hongtai Zhang
- Beijing Center for Disease Prevention and Control, Beijing, China.
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15
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Madadi-Goli N, Ahmadi K, Kamakoli MK, Azizi M, Khanipour S, Dizaji SP, Nasehi M, Siadat SD, Fateh A, Vaziri F. The importance of heteroresistance and efflux pumps in bedaquiline-resistant Mycobacterium tuberculosis isolates from Iran. Ann Clin Microbiol Antimicrob 2024; 23:36. [PMID: 38664815 PMCID: PMC11046812 DOI: 10.1186/s12941-024-00694-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 04/04/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Tuberculosis (TB) continues to pose a threat to communities worldwide and remains a significant public health issue in several countries. We assessed the role of heteroresistance and efflux pumps in bedaquiline (BDQ)-resistant Mycobacterium tuberculosis isolates. METHODS Nineteen clinical isolates were included in the study, of which fifteen isolates were classified as MDR or XDR, while four isolates were fully susceptible. To evaluate BDQ heteroresistance, the Microplate Alamar Blue Assay (MABA) method was employed. For screening mixed infections, MIRU-VNTR was performed on clinical isolates. Mutations in the atpE and Rv0678 genes were determined based on next-generation sequencing data. Additionally, real-time PCR was applied to assess the expression of efflux pump genes in the absence and presence of verapamil (VP). RESULTS All 15 drug-resistant isolates displayed resistance to BDQ. Among the 19 total isolates, 21.05% (4/19) exhibited a heteroresistance pattern to BDQ. None of the isolates carried a mutation of the atpE and Rv0678 genes associated with BDQ resistance. Regarding the MIRU-VNTR analysis, most isolates (94.73%) showed the Beijing genotype. Fifteen (78.9%) isolates showed a significant reduction in BDQ MIC after VP treatment. The efflux pump genes of Rv0676c, Rv1258c, Rv1410c, Rv1634, Rv1819, Rv2459, Rv2846, and Rv3065 were overexpressed in the presence of BDQ. CONCLUSIONS Our results clearly demonstrated the crucial role of heteroresistance and efflux pumps in BDQ resistance. Additionally, we established a direct link between the Rv0676c gene and BDQ resistance. The inclusion of VP significantly reduced the MIC of BDQ in both drug-susceptible and drug-resistant clinical isolates.
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Affiliation(s)
- Nahid Madadi-Goli
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, No. 358, 12th Farvardin Ave., Jomhoori St, Tehran, 1316943551, Iran
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
- Student Research Committee, Pasteur Institute of Iran, Tehran, Iran
| | - Kamal Ahmadi
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, No. 358, 12th Farvardin Ave., Jomhoori St, Tehran, 1316943551, Iran
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
- Department of Microbiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Student Research Committee, Pasteur Institute of Iran, Tehran, Iran
| | - Mansour Kargarpour Kamakoli
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, No. 358, 12th Farvardin Ave., Jomhoori St, Tehran, 1316943551, Iran
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Mohsen Azizi
- Department of Microbiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Sharareh Khanipour
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, No. 358, 12th Farvardin Ave., Jomhoori St, Tehran, 1316943551, Iran
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Shahin Pourazar Dizaji
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, No. 358, 12th Farvardin Ave., Jomhoori St, Tehran, 1316943551, Iran
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Mahshid Nasehi
- Department of Epidemiology and Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Center for Communicable Diseases Control, Ministry of Health and Medical Education, Tehran, Iran
| | - Seyed Davar Siadat
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, No. 358, 12th Farvardin Ave., Jomhoori St, Tehran, 1316943551, Iran
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Abolfazl Fateh
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, No. 358, 12th Farvardin Ave., Jomhoori St, Tehran, 1316943551, Iran.
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran.
| | - Farzam Vaziri
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, No. 358, 12th Farvardin Ave., Jomhoori St, Tehran, 1316943551, Iran.
- Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran.
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16
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Le X, Qian X, Liu L, Sun J, Song W, Qi T, Wang Z, Tang Y, Xu S, Yang J, Wang J, Chen J, Zhang R, Zhu Z, Shen Y. Trends in and Risk Factors for Drug Resistance in Mycobacterium tuberculosis in HIV-Infected Patients. Viruses 2024; 16:627. [PMID: 38675968 PMCID: PMC11054988 DOI: 10.3390/v16040627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
Trends in and risk factors for drug resistance in Mycobacterium tuberculosis (M. tuberculosis) in human immunodeficiency virus (HIV)-infected patients with active tuberculosis were analyzed. The clinical data of M. tuberculosis and HIV-coinfected patients treated at the Shanghai Public Health Clinical Center between 2010 and 2022 were collected. The diagnosis of tuberculosis was confirmed by solid or liquid culture. The phenotypic drug susceptibility test was carried out via the proportional method, and the resistance to first-line and second-line drugs was analyzed. Logistic regression analysis was performed to identify associated risk factors for drug resistance in M. tuberculosis. Of the 304 patients with a M. tuberculosis-positive culture and first-line drug susceptibility test results, 114 (37.5%) were resistant to at least one first-line anti-tuberculosis drug. Of the 93 patients with first-line and second-line drug susceptibility test results, 40 (43%) were resistant to at least one anti-tuberculosis drug, and 20 (21.5%), 27 (29.0%), 19 (20.4%), 16 (17.2%), and 14 (15.1%) were resistant to rifampicin, streptomycin, ofloxacin, levofloxacin, and moxifloxacin, respectively; 17 patients (18.3%) had multidrug-resistant tuberculosis (MDR-TB). Between 2010 and 2021, the rate of resistance to streptomycin and rifampicin ranged from 14.3% to 40.0% and from 8.0% to 26.3%, respectively, showing an increasing trend year by year. From 2016 to 2021, the rate of resistance to quinolones fluctuated between 7.7% and 27.8%, exhibiting an overall upward trend. Logistic regression analysis showed that being aged <60 years old was a risk factor for streptomycin resistance, mono-drug resistance, and any-drug resistance (RR 4.139, p = 0.023; RR 7.734, p = 0.047; RR 3.733, p = 0.009). Retreatment tuberculosis was a risk factor for resistance to rifampicin, ofloxacin, of levofloxacin (RR 2.984, p = 0.047; RR 4.517, p = 0.038; RR 6.277, p = 0.014). The drug resistance rates of M. tuberculosis to rifampicin and to quinolones in HIV/AIDS patients were high and have been increasing year by year. Age and a history of previous anti-tuberculosis treatment were the main factors associated with the development of drug resistance in HIV/AIDS patients with tuberculosis.
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Affiliation(s)
- Xiaoqin Le
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Xueqin Qian
- Department of Clinical Laboratory, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Li Liu
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Jianjun Sun
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Wei Song
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Tangkai Qi
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Zhenyan Wang
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Yang Tang
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Shuibao Xu
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Junyang Yang
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Jiangrong Wang
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Jun Chen
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Renfang Zhang
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Zhaoqin Zhu
- Department of Clinical Laboratory, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Yinzhong Shen
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
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17
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Tram TTB, Trieu LPT, Nhat LTH, Thu DDA, Quang NL, Bang ND, Chau TTH, Thwaites GE, Walker TM, Ha VTN, Thuong NTT. Targeted sequencing from cerebrospinal fluid for rapid identification of drug-resistant tuberculous meningitis. J Clin Microbiol 2024; 62:e0128723. [PMID: 38466092 PMCID: PMC11005362 DOI: 10.1128/jcm.01287-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 02/03/2024] [Indexed: 03/12/2024] Open
Abstract
Mortality from tuberculous meningitis (TBM) remains around 30%, with most deaths occurring within 2 months of starting treatment. Mortality from drug-resistant strains is higher still, making early detection of drug resistance (DR) essential. Targeted next-generation sequencing (tNGS) produces high read depths, allowing the detection of DR-associated alleles with low frequencies. We applied Deeplex Myc-TB-a tNGS assay-to cerebrospinal fluid (CSF) samples from 72 adults with microbiologically confirmed TBM and compared its genomic drug susceptibility predictions to a composite reference standard of phenotypic susceptibility testing (pDST) and whole genome sequencing, as well as to clinical outcomes. Deeplex detected Mycobacterium tuberculosis complex DNA in 24/72 (33.3%) CSF samples and generated full DR reports for 22/24 (91.7%). The read depth generated by Deeplex correlated with semi-quantitative results from MTB/RIF Xpert. Alleles with <20% frequency were seen at canonical loci associated with first-line DR. Disregarding these low-frequency alleles, Deeplex had 100% concordance with the composite reference standard for all drugs except pyrazinamide and streptomycin. Three patients had positive CSF cultures after 30 days of treatment; reference tests and Deeplex identified isoniazid resistance in two, and Deeplex alone identified low-frequency rifampin resistance alleles in one. Five patients died, of whom one had pDST-identified pyrazinamide resistance. tNGS on CSF can rapidly and accurately detect drug-resistant TBM, but its application is limited to those with higher bacterial loads. In those with lower bacterial burdens, alternative approaches need to be developed for both diagnosis and resistance detection.
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Affiliation(s)
| | | | | | - Do Dang Anh Thu
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Nguyen Le Quang
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Nguyen Duc Bang
- Pham Ngoc Thach Hospital for Tuberculosis and Lung Disease, Ho Chi Minh City, Vietnam
| | | | - Guy E. Thwaites
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Timothy M. Walker
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Vu Thi Ngoc Ha
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Nguyen Thuy Thuong Thuong
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
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Chitwood MH, Colijn C, Yang C, Crudu V, Ciobanu N, Codreanu A, Kim J, Rancu I, Rhee K, Cohen T, Sobkowiak B. The recent rapid expansion of multidrug resistant Ural lineage Mycobacterium tuberculosis in Moldova. Nat Commun 2024; 15:2962. [PMID: 38580642 PMCID: PMC10997638 DOI: 10.1038/s41467-024-47282-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 03/26/2024] [Indexed: 04/07/2024] Open
Abstract
The projected trajectory of multidrug resistant tuberculosis (MDR-TB) epidemics depends on the reproductive fitness of circulating strains of MDR M. tuberculosis (Mtb). Previous efforts to characterize the fitness of MDR Mtb have found that Mtb strains of the Beijing sublineage (Lineage 2.2.1) may be more prone to develop resistance and retain fitness in the presence of resistance-conferring mutations than other lineages. Using Mtb genome sequences from all culture-positive cases collected over two years in Moldova, we estimate the fitness of Ural (Lineage 4.2) and Beijing strains, the two lineages in which MDR is concentrated in the country. We estimate that the fitness of MDR Ural strains substantially exceeds that of other susceptible and MDR strains, and we identify several mutations specific to these MDR Ural strains. Our findings suggest that MDR Ural Mtb has been transmitting efficiently in Moldova and poses a substantial risk of spreading further in the region.
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Affiliation(s)
- Melanie H Chitwood
- Department of Epidemiology of Microbial Disease, Yale School of Public Health, 60 College Street, New Haven, CT, USA.
| | - Caroline Colijn
- Department of Mathematics, Simon Fraser University, 8888 University Drive West, Burnaby, BC, Canada
| | - Chongguang Yang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, No. 132 Outer Ring East Road, Guangzhou University Town Guangdong, Guangdong, PR China
| | - Valeriu Crudu
- Phthisiopneumology Institute, Strada Constantin Vârnav 13, Chisinau, Republic of Moldova
| | - Nelly Ciobanu
- Phthisiopneumology Institute, Strada Constantin Vârnav 13, Chisinau, Republic of Moldova
| | - Alexandru Codreanu
- Phthisiopneumology Institute, Strada Constantin Vârnav 13, Chisinau, Republic of Moldova
| | - Jaehee Kim
- Department of Computational Biology, Cornell University, 237 Tower Road, Ithaca, NY, USA
| | - Isabel Rancu
- Department of Epidemiology of Microbial Disease, Yale School of Public Health, 60 College Street, New Haven, CT, USA
| | - Kyu Rhee
- Department of Medicine, Weill Cornell Medicine, 1300 York Ave, New York, NY, USA
| | - Ted Cohen
- Department of Epidemiology of Microbial Disease, Yale School of Public Health, 60 College Street, New Haven, CT, USA.
| | - Benjamin Sobkowiak
- Department of Epidemiology of Microbial Disease, Yale School of Public Health, 60 College Street, New Haven, CT, USA
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Castro-Rodriguez B, Franco-Sotomayor G, Benitez-Medina JM, Cardenas-Franco G, Jiménez-Pizarro N, Cardenas-Franco C, Aguirre-Martinez JL, Orlando SA, Hermoso de Mendoza J, Garcia-Bereguiain MA. Prevalence, drug resistance, and genotypic diversity of the RD Rio subfamily of Mycobacterium tuberculosis in Ecuador: a retrospective analysis for years 2012-2016. Front Public Health 2024; 12:1337357. [PMID: 38689770 PMCID: PMC11060180 DOI: 10.3389/fpubh.2024.1337357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 03/15/2024] [Indexed: 05/02/2024] Open
Abstract
Introduction A major sublineage within the Mycobacterium tuberculosis (MTB) LAM family characterized by a new in-frame fusion gene Rv3346c/55c was discovered in Rio de Janeiro (Brazil) in 2007, called RDRio, associated to drug resistance. The few studies about prevalence of MTB RDRio strains in Latin America reported values ranging from 3% in Chile to 69.8% in Venezuela, although no information is available for countries like Ecuador. Methods A total of 814 MTB isolates from years 2012 to 2016 were screened by multiplex PCR for RDRio identification, followed by 24-loci MIRU-VNTR and spoligotyping. Results A total number of 17 MTB RDRio strains were identified, representing an overall prevalence of 2.09% among MTB strains in Ecuador. While 10.9% of the MTB isolates included in the study were multidrug resistance (MDR), 29.4% (5/17) of the RDRio strains were MDR. Discussion This is the first report of the prevalence of MTB RDRio in Ecuador, where a strong association with MDR was found, but also a very low prevalence compared to other countries in Latin America. It is important to improve molecular epidemiology tools as a part of MTB surveillance programs in Latin America to track the transmission of potentially dangerous MTB stains associated to MDR TB like MTB RDRio.
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Affiliation(s)
| | - Greta Franco-Sotomayor
- Instituto Nacional de Investigación en Salud Pública “Leopoldo Izquieta Pérez”, Guayaquil, Ecuador
- Universidad Católica Santiago de Guayaquil, Guayaquil, Ecuador
| | | | | | - Natalia Jiménez-Pizarro
- Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad de Extremadura, Cáceres, Spain
| | | | | | - Solon Alberto Orlando
- Instituto Nacional de Investigación en Salud Pública “Leopoldo Izquieta Pérez”, Guayaquil, Ecuador
- Universidad Espiritu Santo, Guayaquil, Ecuador
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20
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Villellas C, Stevenaert F, Remmerie B, Andries K. Sub-MIC levels of bedaquiline and clofazimine can select Mycobacterium tuberculosis mutants with increased MIC. Antimicrob Agents Chemother 2024; 68:e0127523. [PMID: 38470194 PMCID: PMC10989023 DOI: 10.1128/aac.01275-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 02/18/2024] [Indexed: 03/13/2024] Open
Abstract
Multidrug-resistant tuberculosis (MDR-TB) patients not cured at the time of stopping treatment are exposed to Minimum Inhibitory Concentration (MIC) and sub-MIC levels for many months after discontinuing bedaquiline (BDQ) or clofazimine (CFZ) treatment. In vitro cultures treated with BDQ and CFZ sub-MIC concentrations clearly showed enrichment in the Rv0678 mutant population, demonstrating that pre-existing Rv0678 mutants can be selected by sub-MIC concentrations of BDQ and CFZ if not protected by an alternative MDR-TB treatment.
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Affiliation(s)
| | | | | | - Koen Andries
- Janssen Research and Development, Beerse, Belgium
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21
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Tafess K, Ng TTL, Tam KKG, Leung KSS, Leung JSL, Lee LK, Lao HY, Chan CTM, Yam WC, Wong SSY, Lau TCK, Siu GKH. Genetic mechanisms of co-emergence of INH-resistant Mycobacterium tuberculosis strains during the standard course of antituberculosis therapy. Microbiol Spectr 2024; 12:e0213323. [PMID: 38466098 PMCID: PMC10986572 DOI: 10.1128/spectrum.02133-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/30/2024] [Indexed: 03/12/2024] Open
Abstract
The incidence of isoniazid (INH) resistant Mycobacterium tuberculosis is increasing globally. This study aimed to identify the molecular mechanisms behind the development of INH resistance in M. tuberculosis strains collected from the same patients during the standard course of treatment. Three M. tuberculosis strains were collected from a patient before and during antituberculosis (anti-TB) therapy. The strains were characterized using phenotypic drug susceptibility tests, Mycobacterial Interspersed Repeated Unit-Variable-Number Tandem Repeats (MIRU-VNTR), and whole-genome sequencing (WGS) to identify mutations associated with INH resistance. To validate the role of the novel mutations in INH resistance, the mutated katG genes were electroporated into a KatG-deleted M. tuberculosis strain (GA03). Three-dimensional structures of mutated KatG were modeled to predict their impact on INH binding. The pre-treatment strain was susceptible to INH. However, two INH-resistant strains were isolated from the patient after anti-TB therapy. MIRU-VNTR and WGS revealed that the three strains were clonally identical. A missense mutation (P232L) and a nonsense mutation (Q461Stop) were identified in the katG of the two post-treatment strains, respectively. Transformation experiments showed that katG of the pre-treatment strain restored INH susceptibility in GA03, whereas the mutated katG genes from the post-treatment strains rendered negative catalase activity and INH resistance. The protein model indicated that P232L reduced INH-KatG binding affinity while Q461Stop truncated gene transcription. Our results showed that the two katG mutations, P232L and Q461Stop, accounted for the co-emergence of INH-resistant clones during anti-TB therapy. The inclusion of these mutations in the design of molecular assays could increase the diagnostic performance.IMPORTANCEThe evolution of drug-resistant strains of Mycobacterium tuberculosis within the lung lesions of a patient has a detrimental impact on treatment outcomes. This is particularly concerning for isoniazid (INH), which is the most potent first-line antimycobacterial drug. However, the precise genetic factors responsible for drug resistance in patients have not been fully elucidated, with approximately 15% of INH-resistant strains harboring unknown genetic factors. This raises concerns about the emergence of drug-resistant clones within patients, further contributing to the global epidemic of resistance. In this study, we revealed the presence of two novel katG mutations, which emerged independently due to the stress exerted by antituberculosis (anti-TB) treatment on a parental strain. Importantly, we experimentally demonstrated the functional significance of both mutations in conferring resistance to INH. Overall, this research sheds light on the genetic mechanisms underlying the evolution of INH resistance within patients and provides valuable insights for improving diagnostic performance by targeting specific mutations.
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Affiliation(s)
- Ketema Tafess
- Department of Applied Biology, School of Applied Natural Sciences, Adama Science and Technology University, Adama, Ethiopia
- Institute of Pharmaceutical Sciences, Adama Science and Technology University, Adama, Ethiopia
| | - Timothy Ting-Leung Ng
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Kingsley King-Gee Tam
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Kenneth Siu-Sing Leung
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Jake Siu-Lun Leung
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Lam-Kwong Lee
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Hiu Yin Lao
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Chloe Toi-Mei Chan
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Wing-Cheong Yam
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Samson Sai Yin Wong
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Terrence Chi-Kwong Lau
- Department of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China
| | - Gilman Kit-Hang Siu
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
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22
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Fuller NM, McQuaid CF, Harker MJ, Weerasuriya CK, McHugh TD, Knight GM. Mathematical models of drug-resistant tuberculosis lack bacterial heterogeneity: A systematic review. PLoS Pathog 2024; 20:e1011574. [PMID: 38598556 PMCID: PMC11060536 DOI: 10.1371/journal.ppat.1011574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 04/30/2024] [Accepted: 03/25/2024] [Indexed: 04/12/2024] Open
Abstract
Drug-resistant tuberculosis (DR-TB) threatens progress in the control of TB. Mathematical models are increasingly being used to guide public health decisions on managing both antimicrobial resistance (AMR) and TB. It is important to consider bacterial heterogeneity in models as it can have consequences for predictions of resistance prevalence, which may affect decision-making. We conducted a systematic review of published mathematical models to determine the modelling landscape and to explore methods for including bacterial heterogeneity. Our first objective was to identify and analyse the general characteristics of mathematical models of DR-mycobacteria, including M. tuberculosis. The second objective was to analyse methods of including bacterial heterogeneity in these models. We had different definitions of heterogeneity depending on the model level. For between-host models of mycobacterium, heterogeneity was defined as any model where bacteria of the same resistance level were further differentiated. For bacterial population models, heterogeneity was defined as having multiple distinct resistant populations. The search was conducted following PRISMA guidelines in five databases, with studies included if they were mechanistic or simulation models of DR-mycobacteria. We identified 195 studies modelling DR-mycobacteria, with most being dynamic transmission models of non-treatment intervention impact in M. tuberculosis (n = 58). Studies were set in a limited number of specific countries, and 44% of models (n = 85) included only a single level of "multidrug-resistance (MDR)". Only 23 models (8 between-host) included any bacterial heterogeneity. Most of these also captured multiple antibiotic-resistant classes (n = 17), but six models included heterogeneity in bacterial populations resistant to a single antibiotic. Heterogeneity was usually represented by different fitness values for bacteria resistant to the same antibiotic (61%, n = 14). A large and growing body of mathematical models of DR-mycobacterium is being used to explore intervention impact to support policy as well as theoretical explorations of resistance dynamics. However, the majority lack bacterial heterogeneity, suggesting that important evolutionary effects may be missed.
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Affiliation(s)
- Naomi M. Fuller
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Antimicrobial Resistance Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Tuberculosis Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Christopher F. McQuaid
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Antimicrobial Resistance Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Tuberculosis Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Martin J. Harker
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Antimicrobial Resistance Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Tuberculosis Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Chathika K. Weerasuriya
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Antimicrobial Resistance Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Tuberculosis Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Timothy D. McHugh
- UCL Centre for Clinical Microbiology, Division of Infection & Immunity, Royal Free Campus, University College London, London, United Kingdom
| | - Gwenan M. Knight
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Antimicrobial Resistance Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Tuberculosis Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
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23
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Eckartt KA, Delbeau M, Munsamy-Govender V, DeJesus MA, Azadian ZA, Reddy AK, Chandanani J, Poulton NC, Quiñones-Garcia S, Bosch B, Landick R, Campbell EA, Rock JM. Compensatory evolution in NusG improves fitness of drug-resistant M. tuberculosis. Nature 2024; 628:186-194. [PMID: 38509362 PMCID: PMC10990936 DOI: 10.1038/s41586-024-07206-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 02/19/2024] [Indexed: 03/22/2024]
Abstract
Drug-resistant bacteria are emerging as a global threat, despite frequently being less fit than their drug-susceptible ancestors1-8. Here we sought to define the mechanisms that drive or buffer the fitness cost of rifampicin resistance (RifR) in the bacterial pathogen Mycobacterium tuberculosis (Mtb). Rifampicin inhibits RNA polymerase (RNAP) and is a cornerstone of modern short-course tuberculosis therapy9,10. However, RifR Mtb accounts for one-quarter of all deaths due to drug-resistant bacteria11,12. We took a comparative functional genomics approach to define processes that are differentially vulnerable to CRISPR interference (CRISPRi) inhibition in RifR Mtb. Among other hits, we found that the universally conserved transcription factor NusG is crucial for the fitness of RifR Mtb. In contrast to its role in Escherichia coli, Mtb NusG has an essential RNAP pro-pausing function mediated by distinct contacts with RNAP and the DNA13. We find this pro-pausing NusG-RNAP interface to be under positive selection in clinical RifR Mtb isolates. Mutations in the NusG-RNAP interface reduce pro-pausing activity and increase fitness of RifR Mtb. Collectively, these results define excessive RNAP pausing as a molecular mechanism that drives the fitness cost of RifR in Mtb, identify a new mechanism of compensation to overcome this cost, suggest rational approaches to exacerbate the fitness cost, and, more broadly, could inform new therapeutic approaches to develop drug combinations to slow the evolution of RifR in Mtb.
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Affiliation(s)
- Kathryn A Eckartt
- Laboratory of Host-Pathogen Biology, The Rockefeller University, New York, NY, USA
| | - Madeleine Delbeau
- Laboratory of Molecular Biophysics, The Rockefeller University, New York, NY, USA
| | | | - Michael A DeJesus
- Laboratory of Host-Pathogen Biology, The Rockefeller University, New York, NY, USA
| | - Zachary A Azadian
- Laboratory of Host-Pathogen Biology, The Rockefeller University, New York, NY, USA
| | - Abhijna K Reddy
- Laboratory of Host-Pathogen Biology, The Rockefeller University, New York, NY, USA
| | - Joshua Chandanani
- Laboratory of Molecular Biophysics, The Rockefeller University, New York, NY, USA
| | - Nicholas C Poulton
- Laboratory of Host-Pathogen Biology, The Rockefeller University, New York, NY, USA
| | | | - Barbara Bosch
- Laboratory of Host-Pathogen Biology, The Rockefeller University, New York, NY, USA
| | - Robert Landick
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
| | - Elizabeth A Campbell
- Laboratory of Molecular Biophysics, The Rockefeller University, New York, NY, USA.
| | - Jeremy M Rock
- Laboratory of Host-Pathogen Biology, The Rockefeller University, New York, NY, USA.
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Gao J, Gao M, Du J, Pang Y, Mao G, Lounis N, Bakare N, Jiang Y, Zhan Y, Liu Y, Li L. A pragmatic randomized controlled trial to evaluate the efficacy and safety of an oral short-course regimen including bedaquiline for the treatment of patients with multidrug-resistant tuberculosis in China: study protocol for PROSPECT. Trials 2024; 25:227. [PMID: 38561815 PMCID: PMC10986125 DOI: 10.1186/s13063-024-07946-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 01/18/2024] [Indexed: 04/04/2024] Open
Abstract
INTRODUCTION The lack of safe, effective, and simple short-course regimens (SCRs) for multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB) treatment has significantly impeded TB control efforts in China. METHODS This phase 4, randomized, open-label, controlled, non-inferiority trial aims to assess the efficacy and safety of a 9-month all-oral SCR containing bedaquiline (BDQ) versus an all-oral SCR without BDQ for adult MDR-TB patients (18-65 years) in China. The trial design mainly mirrors that of the "Evaluation of a Standardized Treatment Regimen of Anti-Tuberculosis Drugs for Patients with MDR-TB" (STREAM) stage 2 study, while also incorporating programmatic data from South Africa and the 2019 consensus recommendations of Chinese MDR/RR-TB treatment experts. Experimental arm participants will receive a modified STREAM regimen C that replaces three group C drugs, ethambutol (EMB), pyrazinamide (PZA), and prothionamide (PTO), with two group B drugs, linezolid (LZD) and cycloserine (CS), while omitting high-dose isoniazid (INH) for confirmed INH-resistant cases. BDQ duration will be extended from 6 to 9 months for participants with Mycobacterium tuberculosis-positive sputum cultures at week 16. The control arm will receive a modified STREAM regimen B without high-dose INH and injectable kanamycin (KM) that incorporates experimental arm LZD and CS dosages, treatment durations, and administration methods. LZD (600 mg) will be given daily for ≥ 24 weeks as guided by observed benefits and harm. The primary outcome measures the proportion of participants with favorable treatment outcomes at treatment completion (week 40), while the same measurement taken at 48 weeks post-treatment completion is the secondary outcome. Assuming an α = 0.025 significance level (one-sided test), 80% power, 15% non-inferiority margin, and 10% lost to follow-up rate, each arm requires 106 participants (212 total) to demonstrate non-inferiority. DISCUSSION PROSPECT aims to assess the safety and efficacy of a BDQ-containing SCR MDR-TB treatment at seventeen sites across China, while also providing high-quality data to guide SCRs administration under the direction of the China National Tuberculosis Program for MDR-TB. Additionally, PROSPECT will explore the potential benefits of extending the administration of the 9-month BDQ-containing SCR for participants without sputum conversion by week 16. TRIAL REGISTRATION ClinicalTrials.gov NCT05306223. Prospectively registered on 16 March 2022 at https://clinicaltrials.gov/ct2/show/NCT05306223?term=NCT05306223&draw=1&rank=1 {2}.
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Affiliation(s)
- Jingtao Gao
- Clinical Center On TB, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Mengqiu Gao
- Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, People's Republic of China
| | - Jian Du
- Clinical Center On TB, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, 101149, People's Republic of China
| | - Gary Mao
- Janssen Global Public Health, Janssen Research & Development, Titusville, NJ, USA
| | | | - Nyasha Bakare
- Janssen Global Public Health, Janssen Research & Development, Titusville, NJ, USA
| | - Yanxin Jiang
- Janssen China Research & Development, Shanghai, People's Republic of China
| | - Ying Zhan
- Innovation Alliance On Tuberculosis Diagnosis and Treatment (Beijing) [IATB], Beijing, 101100, People's Republic of China
| | - Yuhong Liu
- Clinical Center On TB, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China.
| | - Liang Li
- Clinical Center On TB, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China.
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Harrison GA, Wang ER, Cho K, Mreyoud Y, Sarkar S, Almqvist F, Patti GJ, Stallings CL. Inducing vulnerability to InhA inhibition restores isoniazid susceptibility in drug-resistant Mycobacterium tuberculosis. mBio 2024; 15:e0296823. [PMID: 38294237 PMCID: PMC10936210 DOI: 10.1128/mbio.02968-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 12/20/2023] [Indexed: 02/01/2024] Open
Abstract
Of the approximately 10 million cases of Mycobacterium tuberculosis (Mtb) infections each year, over 10% are resistant to the frontline antibiotic isoniazid (INH). INH resistance is predominantly caused by mutations that decrease the activity of the bacterial enzyme KatG, which mediates the conversion of the pro-drug INH to its active form INH-NAD. We previously discovered an inhibitor of Mtb respiration, C10, that enhances the bactericidal activity of INH, prevents the emergence of INH-resistant mutants, and re-sensitizes a collection of INH-resistant mutants to INH through an unknown mechanism. To investigate the mechanism of action of C10, we exploited the toxicity of high concentrations of C10 to select for resistant mutants. We discovered two mutations that confer resistance to the disruption of energy metabolism and allow for the growth of Mtb in high C10 concentrations, indicating that growth inhibition by C10 is associated with inhibition of respiration. Using these mutants as well as direct inhibitors of the Mtb electron transport chain, we provide evidence that inhibition of energy metabolism by C10 is neither sufficient nor necessary to potentiate killing by INH. Instead, we find that C10 acts downstream of INH-NAD synthesis, causing Mtb to become particularly sensitive to inhibition of the INH-NAD target, InhA, without changing the concentration of INH-NAD or the activity of InhA, the two predominant mechanisms of potentiating INH. Our studies revealed that there exists a vulnerability in Mtb that can be exploited to render Mtb sensitive to otherwise subinhibitory concentrations of InhA inhibitor.IMPORTANCEIsoniazid (INH) is a critical frontline antibiotic to treat Mycobacterium tuberculosis (Mtb) infections. INH efficacy is limited by its suboptimal penetration of the Mtb-containing lesion and by the prevalence of clinical INH resistance. We previously discovered a compound, C10, that enhances the bactericidal activity of INH, prevents the emergence of INH-resistant mutants, and re-sensitizes a set of INH-resistant mutants to INH. Resistance is typically mediated by katG mutations that decrease the activation of INH, which is required for INH to inhibit the essential enzyme InhA. Our current work demonstrates that C10 re-sensitizes INH-resistant katG-hypomorphs without enhancing the activation of INH. We furthermore show that C10 causes Mtb to become particularly vulnerable to InhA inhibition without compromising InhA activity on its own. Therefore, C10 represents a novel strategy to curtail the development of INH resistance and to sensitize Mtb to sub-lethal doses of INH, such as those achieved at the infection site.
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Affiliation(s)
- Gregory A. Harrison
- Department of Molecular Microbiology, Center for Women’s Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Erin R. Wang
- Department of Molecular Microbiology, Center for Women’s Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Kevin Cho
- Department of Chemistry, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
- Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Yassin Mreyoud
- Department of Molecular Microbiology, Center for Women’s Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Souvik Sarkar
- Department of Chemistry, Umeå University, Umeå, Sweden
| | - Fredrik Almqvist
- Department of Chemistry, Umeå University, Umeå, Sweden
- Umeå Centre for Microbial Research, UCMR, Umeå University, Umeå, Sweden
| | - Gary J. Patti
- Department of Chemistry, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
- Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Christina L. Stallings
- Department of Molecular Microbiology, Center for Women’s Infectious Disease Research, Washington University School of Medicine, St. Louis, Missouri, USA
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Prommi A, Wongjarit K, Petsong S, Somsukpiroh U, Faksri K, Kawkitinarong K, Payungporn S, Rotcheewaphan S. Co-resistance to isoniazid and second-line anti-tuberculosis drugs in isoniazid-resistant tuberculosis at a tertiary care hospital in Thailand. Microbiol Spectr 2024; 12:e0346223. [PMID: 38323824 PMCID: PMC10913473 DOI: 10.1128/spectrum.03462-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/02/2024] [Indexed: 02/08/2024] Open
Abstract
Isoniazid-resistant tuberculosis (Hr-TB) is an important drug-resistant tuberculosis (TB). In addition to rifampicin, resistance to other medications for Hr-TB can impact the course of treatment; however, there are currently limited data in the literature. In this study, the drug susceptibility profiles of Hr-TB treatment and resistance-conferring mutations were investigated for Hr-TB clinical isolates from Thailand. Phenotypic drug susceptibility testing (pDST) and genotypic drug susceptibility testing (gDST) were retrospectively and prospectively investigated using the Mycobacterium Growth Indicator Tube (MGIT), the broth microdilution (BMD) method, and whole-genome sequencing (WGS)-based gDST. The prevalence of Hr-TB cases was 11.2% among patients with TB. Most Hr-TB cases (89.5%) were newly diagnosed patients with TB. In the pDST analysis, approximately 55.6% (60/108) of the tested Hr-TB clinical isolates exhibited high-level isoniazid resistance. In addition, the Hr-TB clinical isolates presented co-resistance to ethambutol (3/161, 1.9%), levofloxacin (2/96, 2.1%), and pyrazinamide (24/118, 20.3%). In 56 Hr-TB clinical isolates, WGS-based gDST predicted resistance to isoniazid [katG S315T (48.2%) and fabG1 c-15t (26.8%)], rifampicin [rpoB L430P and rpoB L452P (5.4%)], and fluoroquinolones [gyrA D94G (1.8%)], but no mutation for ethambutol was detected. The categorical agreement for the detection of resistance to isoniazid, rifampicin, ethambutol, and levofloxacin between WGS-based gDST and the MGIT or the BMD method ranged from 80.4% to 98.2% or 82.1% to 100%, respectively. pDST and gDST demonstrated a low co-resistance rate between isoniazid and second-line TB drugs in Hr-TB clinical isolates. IMPORTANCE The prevalence of isoniazid-resistant tuberculosis (Hr-TB) is the highest among other types of drug-resistant tuberculosis. Currently, the World Health Organization (WHO) guidelines recommend the treatment of Hr-TB with rifampicin, ethambutol, pyrazinamide, and levofloxacin for 6 months. The susceptibility profiles of Hr-TB clinical isolates, especially when they are co-resistant to second-line drugs, are critical in the selection of the appropriate treatment regimen to prevent treatment failure. This study highlights the susceptibility profiles of the WHO-recommended treatment regimen in Hr-TB clinical isolates from a tertiary care hospital in Thailand and the concordance and importance of using the phenotypic drug susceptibility testing or genotypic drug susceptibility testing for accurate and comprehensive interpretation of results.
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Affiliation(s)
- Ajala Prommi
- Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Kanphai Wongjarit
- Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Division of Infectious Diseases, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Suthidee Petsong
- Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Ubonwan Somsukpiroh
- Department of Microbiology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Kiatichai Faksri
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases, Khon Kaen University, Khon Kaen, Thailand
| | - Kamon Kawkitinarong
- Center of Excellence in Tuberculosis, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Sunchai Payungporn
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Biochemistry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Suwatchareeporn Rotcheewaphan
- Center of Excellence in Systems Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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Umpeleva T, Chetverikova E, Belyaev D, Eremeeva N, Boteva T, Golubeva L, Vakhrusheva D, Vasilieva I. Identification of genetic determinants of bedaquiline resistance in Mycobacterium tuberculosis in Ural region, Russia. Microbiol Spectr 2024; 12:e0374923. [PMID: 38345388 PMCID: PMC10913728 DOI: 10.1128/spectrum.03749-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/24/2024] [Indexed: 03/06/2024] Open
Abstract
Collecting data on rare Mycobacterium tuberculosis (Mtb) clinical isolates with resistance to the new anti-tuberculosis drug bedaquiline is an important task for improving antimicrobial susceptibility testing methods. Nanopore whole genome sequencing, the proportion method on Middlebrook 7H11 medium, and BACTEC MGIT 960 assays were used to analyze genotypic and phenotypic resistance to bedaquiline. We found four mutations: atpE I66M, atpE А63Р, Rv0678 А36Т, and Rv0678 S53P in five isolates with different levels of phenotypic bedaquiline resistance. IMPORTANCE Bedaquiline (BDQ) is a new anti-tuberculosis drug. The phenotypic and genotypic data describing the mechanism of drug resistance are critical for the design of rapid and accurate diagnostic tests. We consider that our work, which describes genotypic and phenotypic resistance to BDQ, can contribute to the standardization of drug susceptibility testing.
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Affiliation(s)
- Tatiana Umpeleva
- Department of Microbiology and Preclinical Research, National Medical Research Center of Phthisiopulmonology and Infection Disease, Yekaterinburg, Russia
| | - Elena Chetverikova
- Department of Microbiology and Preclinical Research, National Medical Research Center of Phthisiopulmonology and Infection Disease, Yekaterinburg, Russia
| | - Danila Belyaev
- Department of Microbiology and Preclinical Research, National Medical Research Center of Phthisiopulmonology and Infection Disease, Yekaterinburg, Russia
- Laboratory of Medical Chemistry, Postovsky Institute of Organic Synthesis, Ural Branch of the Russian Academy of Sciences, Yekaterinburg, Russia
| | - Natalya Eremeeva
- Department of Microbiology and Preclinical Research, National Medical Research Center of Phthisiopulmonology and Infection Disease, Yekaterinburg, Russia
| | - Tatiana Boteva
- Department of Microbiology and Preclinical Research, National Medical Research Center of Phthisiopulmonology and Infection Disease, Yekaterinburg, Russia
| | - Ludmila Golubeva
- Department of Microbiology and Preclinical Research, National Medical Research Center of Phthisiopulmonology and Infection Disease, Yekaterinburg, Russia
| | - Diana Vakhrusheva
- Department of Microbiology and Preclinical Research, National Medical Research Center of Phthisiopulmonology and Infection Disease, Yekaterinburg, Russia
| | - Irina Vasilieva
- Administration, National Medical Research Center of Phthisiopulmonology and Infection Disease, Moscow, Russia
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28
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Blankson HNA, Kamara RF, Barilar I, Andres S, Conteh OS, Dallenga T, Foray L, Maurer F, Kranzer K, Utpatel C, Niemann S. Molecular determinants of multidrug-resistant tuberculosis in Sierra Leone. Microbiol Spectr 2024; 12:e0240523. [PMID: 38289066 PMCID: PMC10923214 DOI: 10.1128/spectrum.02405-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 10/28/2023] [Indexed: 03/06/2024] Open
Abstract
Multidrug-resistant tuberculosis (MDR-TB) management has become a serious global health challenge. Understanding its epidemic determinants on the regional level is crucial for developing effective control measures. We used whole genome sequencing data of 238 of Mycobacterium tuberculosis complex (MTBC) strains to determine drug resistance profiles, phylogeny, and transmission dynamics of MDR/rifampicin-resistant (RR) MTBC strains from Sierra Leone. Forty-two strains were classified as RR, 196 as MDR, 5 were resistant to bedaquiline (BDQ) and clofazimine (CFZ), but none was found to be resistant to fluoroquinolones. Sixty-one (26%) strains were resistant to all first-line drugs, three of which had additional resistance to BDQ/CFZ. The strains were classified into six major MTBC lineages (L), with strains of L4 being the most prevalent, 62% (n = 147), followed by L6 (Mycobacterium africanum) strains, (21%, n = 50). The overall clustering rate (using ≤d12 single-nucleotide polymorphism threshold) was 44%, stratified into 31 clusters ranging from 2 to 16 strains. The largest cluster (n = 16) was formed by sublineage 2.2.1 Beijing Ancestral 3 strains, which developed MDR several times. Meanwhile, 10 of the L6 strains had a primary MDR transmission. We observed a high diversity of drug resistance mutations, including borderline resistance mutations to isoniazid and rifampicin, and mutations were not detected by commercial assays. In conclusion, one in five strains investigated was resistant to all first-line drugs, three of which had evidence of BDQ/CFZ resistance. Implementation of interventions such as rapid diagnostics that prevent further resistance development and stop MDR-TB transmission chains in the country is urgently needed. IMPORTANCE A substantial proportion of MDR-TB strains in Sierra Leone were resistant against all first line drugs; however this makes the all-oral-six-month BPaLM regimen or other 6-9 months all oral regimens still viable, mainly because there was no FQ resistance.Resistance to BDQ was detected, as well as RR, due to mutations outside of the hotspot region. While the prevalence of those resistances was low, it is still cause for concern and needs to be closely monitored.
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Affiliation(s)
- Harriet N. A. Blankson
- Molecular and Experimental Mycobacteriology, Research Center Borstel Leibniz Lung Center, Borstel, Germany
- German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Reims, Borstel, Germany
- School of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, Korle-Bu, Accra, Ghana
| | - Rashidatu Fouad Kamara
- National Leprosy and Tuberculosis Control Programme Sierra Leone, Freetown, Sierra Leone
| | - Ivan Barilar
- Molecular and Experimental Mycobacteriology, Research Center Borstel Leibniz Lung Center, Borstel, Germany
- German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Reims, Borstel, Germany
| | - Sönke Andres
- National and WHO Supranational Reference Center for Mycobacteria, Research Center Borstel Leibniz Lung Center, Borstel, Germany
| | - Ousman S. Conteh
- National Leprosy and Tuberculosis Control Programme Sierra Leone, Freetown, Sierra Leone
| | - Tobias Dallenga
- German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Reims, Borstel, Germany
- Cellular Microbiology, Research Center Borstel Leibniz Lung Center, Borstel, Germany
| | - Lynda Foray
- National Leprosy and Tuberculosis Control Programme Sierra Leone, Freetown, Sierra Leone
| | - Florian Maurer
- German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Reims, Borstel, Germany
- National and WHO Supranational Reference Center for Mycobacteria, Research Center Borstel Leibniz Lung Center, Borstel, Germany
- Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Katharina Kranzer
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Christian Utpatel
- Molecular and Experimental Mycobacteriology, Research Center Borstel Leibniz Lung Center, Borstel, Germany
- German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Reims, Borstel, Germany
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel Leibniz Lung Center, Borstel, Germany
- German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Reims, Borstel, Germany
- National and WHO Supranational Reference Center for Mycobacteria, Research Center Borstel Leibniz Lung Center, Borstel, Germany
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Thorpe J, Sawaengdee W, Ward D, Campos M, Wichukchinda N, Chaiyasirinroje B, Thanraka A, Chumpol J, Phelan JE, Campino S, Mahasirimongkol S, Clark TG. Multi-platform whole genome sequencing for tuberculosis clinical and surveillance applications. Sci Rep 2024; 14:5201. [PMID: 38431684 PMCID: PMC10908857 DOI: 10.1038/s41598-024-55865-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 02/28/2024] [Indexed: 03/05/2024] Open
Abstract
Whole genome sequencing (WGS) of Mycobacterium tuberculosis offers valuable insights for tuberculosis (TB) control. High throughput platforms like Illumina and Oxford Nanopore Technology (ONT) are increasingly used globally, although ONT is known for higher error rates and is less established for genomic studies. Here we present a study comparing the sequencing outputs of both Illumina and ONT platforms, analysing DNA from 59 clinical isolates in highly endemic TB regions of Thailand. The resulting sequence data were used to profile the M. tuberculosis pairs for their lineage, drug resistance and presence in transmission chains, and were compared to publicly available WGS data from Thailand (n = 1456). Our results revealed isolates that are predominantly from lineages 1 and 2, with consistent drug resistance profiles, including six multidrug-resistant strains; however, analysis of ONT data showed longer phylogenetic branches, emphasising the technologies higher error rate. An analysis incorporating the larger dataset identified fifteen of our samples within six potential transmission clusters, including a significant clade of 41 multi-drug resistant isolates. ONT's extended sequences also revealed strain-specific structural variants in pe/ppe genes (e.g. ppe50), which are candidate loci for vaccine development. Despite some limitations, our results show that ONT sequencing is a promising approach for TB genomic research, supporting precision medicine and decision-making in areas with less developed infrastructure, which is crucial for tackling the disease's significant regional burden.
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Affiliation(s)
- Joseph Thorpe
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Waritta Sawaengdee
- Department of Medical Sciences, Medical Genetics Center, Medical Life Sciences Institute, Ministry of Public Health, Nonthaburi, 11000, Thailand
| | - Daniel Ward
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Monica Campos
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Nuanjun Wichukchinda
- Department of Medical Sciences, Medical Genetics Center, Medical Life Sciences Institute, Ministry of Public Health, Nonthaburi, 11000, Thailand
| | | | - Aungkana Thanraka
- Department of Medical Technology, Chiangrai Prachanukroh Hospital, Chiang Rai, 57000, Thailand
| | - Jaluporn Chumpol
- The Office of Disease Prevention and Control 7, Khon Kaen, 40000, Thailand
| | - Jody E Phelan
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Susana Campino
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Surakameth Mahasirimongkol
- Department of Medical Sciences, Medical Genetics Center, Medical Life Sciences Institute, Ministry of Public Health, Nonthaburi, 11000, Thailand
| | - Taane G Clark
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
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Maitre T, Guglielmetti L, Robert J, Aubry A, Veziris N. [Advances in antibiotic therapy for tuberculosis]. Rev Prat 2024; 74:239-244. [PMID: 38551855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
ADVANCES IN ANTIBIOTIC THERAPY FOR TUBERCULOSIS. Treatment of tuberculosis is experiencing significant advancements. For the first time, a therapeutic regimen based on rifapentine and moxifloxacin allows for a reduction of treatment duration of drug-susceptible tuberculosis from 6 to 4 months. Regarding multidrug-resistant tuberculosis, combinations of new antituberculosis drugs (bedaquiline, linezolid, delamanid/pretomanid, moxifloxacin) have the potential to reduce the treatment duration from 20 to 6 months. Additionally, considering the extent of anatomical involvement and bacterial burden allows for strategies that involve variable treatment durations based on the severity of the disease. The new tuberculosis treatments thus appear to be shorter and more personalized.
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Affiliation(s)
- Thomas Maitre
- AP-HP. Sorbonne Université, Centre national de référence des mycobactéries et de la résistance des mycobactéries aux antituberculeux, Paris, France. Département de pneumologie, centre de référence des maladies rares pulmonaires, AP-HP. Sorbonne Université, Paris, France
| | - Lorenzo Guglielmetti
- AP-HP. Sorbonne Université, Centre national de référence des mycobactéries et de la résistance des mycobactéries aux antituberculeux, Paris, France. Sorbonne université, Inserm U1135, Centre d'immunologie et des maladies infectieuses (Cimi), Paris, France
| | - Jérôme Robert
- AP-HP. Sorbonne Université, Centre national de référence des mycobactéries et de la résistance des mycobactéries aux antituberculeux, Paris, France. Sorbonne université, Inserm U1135, Centre d'immunologie et des maladies infectieuses (Cimi), Paris, France
| | - Alexandra Aubry
- AP-HP. Sorbonne Université, Centre national de référence des mycobactéries et de la résistance des mycobactéries aux antituberculeux, Paris, France. Sorbonne université, Inserm U1135, Centre d'immunologie et des maladies infectieuses (Cimi), Paris, France
| | - Nicolas Veziris
- AP-HP. Sorbonne Université, Centre national de référence des mycobactéries et de la résistance des mycobactéries aux antituberculeux, Paris, France. Sorbonne université, Inserm U1135, Centre d'immunologie et des maladies infectieuses (Cimi), Paris, France
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Li YF, Yang Y, Kong XL, Song WM, Li YM, Li YY, Fang WW, Yang JY, Men D, Yu CB, Yang GR, Han WG, Liu WY, Yan K, Li HC, Liu Y. Transmission dynamics and phylogeography of Mycobacterium tuberculosis in China based on whole-genome phylogenetic analysis. Int J Infect Dis 2024; 140:124-131. [PMID: 37863309 DOI: 10.1016/j.ijid.2023.10.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 09/30/2023] [Accepted: 10/16/2023] [Indexed: 10/22/2023] Open
Abstract
OBJECTIVES This study aimed to describe the lineage-specific transmissibility and epidemiological migration of Mycobacterium tuberculosis in China. METHODS We curated a large set of whole-genome sequences from 3204 M. tuberculosis isolates, including thousands of newly sequenced genomes, and applied a series of metrics to compare the transmissibility of M. tuberculosis strains between lineages and sublineages. The countrywide transmission patterns of major lineages were explored. RESULTS We found that lineage 2 (L2) was the most prevalent lineage in China (85.7%), with the major sublineage 2.2.1 (80.9%), followed by lineage 4 (L4) (13.8%), which comprises major sublineages 4.2 (1.5%), 4.4 (6.2%) and 4.5 (5.8%). We showed evidence for frequent cross-regional spread and large cluster formation of L2.2.1 strains, whereas L4 strains were relatively geographically restricted in China. Next, we applied a series of genomic indices to evaluate M. tuberculosis strain transmissibility and uncovered higher transmissibility of L2.2.1 compared with the L2.2.2 and L4 sublineages. Phylogeographic analysis showed that southern, eastern, and northern China were highly connected regions for countrywide L2.2.1 strain spread. CONCLUSIONS The present study provides insights into the different transmission and migration patterns of the major M. tuberculosis lineages in China and highlights that transmissible L2.2.1 is a threat to tuberculosis control.
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Affiliation(s)
- Yi-Fan Li
- Department of Respiratory and Critical Care Medicine, the Third Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, PR China
| | - Yang Yang
- Institute of Nutrition and Health, School of Public Health, Qingdao University, Qingdao, PR China
| | - Xiang-Long Kong
- Xiang-long Kong, Shandong Artificial Intelligence Institute Qilu University of Technology & Shandong Academy of Sciences, Jinan, Shandong, PR China
| | - Wan-Mei Song
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China
| | - Ya-Meng Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Shandong University of Traditional Chinese Medicine, Jinan, Shandong, PR China
| | - Ying-Ying Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China; Shandong University of Traditional Chinese Medicine, Jinan, Shandong, PR China
| | - Wei-Wei Fang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China
| | - Jie-Yu Yang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China
| | - Dan Men
- College of Geography and Environmental Science, Northwest Normal University, No. 967 Anning East Road, Lanzhou, Gansu Province, China
| | - Chun-Bao Yu
- Center for Integrative and Translational Medicine, Shandong Public Health Clinical Center, Jinan, Shandong, PR China
| | - Guo-Ru Yang
- Department of Respiratory and Critical Care Medicine, Weifang Respiratory Disease Hospital & Weifang No. 2 People's Hospital, Weifang, Shandong, PR China
| | - Wen-Ge Han
- Department of Respiratory and Critical Care Medicine, Weifang Respiratory Disease Hospital & Weifang No. 2 People's Hospital, Weifang, Shandong, PR China
| | - Wen-Yu Liu
- Department of Respiratory and Critical Care Medicine, Weifang Respiratory Disease Hospital & Weifang No. 2 People's Hospital, Weifang, Shandong, PR China
| | - Kun Yan
- Department of Respiratory and Critical Care Medicine, Weifang Respiratory Disease Hospital & Weifang No. 2 People's Hospital, Weifang, Shandong, PR China
| | - Huai-Chen Li
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China
| | - Yao Liu
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, PR China.
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Saini A, Dadwal R, Yadav R, Kanaujia R, Aggarwal AN, Arora A, Sethi S. Whole genome sequencing for the prediction of resistant tuberculosis strains from northern India. Indian J Med Microbiol 2024; 48:100537. [PMID: 38350525 DOI: 10.1016/j.ijmmb.2024.100537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/07/2023] [Accepted: 02/09/2024] [Indexed: 02/15/2024]
Abstract
PURPOSE Tuberculosis is an important public health problem among infectious diseases. The problem becomes more concerning with the emergence of MDR-TB and pre-XDR-TB. Whole genome sequencing (WGS) detection of resistance has recently gained popularity as it has advantages over other commercial techniques. METHODS We performed in-house WGS followed by detailed analysis by an in-house pipeline to identify the resistance markers. This was accompanied by Phenotypic DST, and Sanger sequencing on all the 12 XDR, 06 pre-XDR, and 06 susceptible M. tb isolates. These results were collated with online M. tb WGS pipelines (TB profiler, PhyResSE, Mykrobe predictor) for comparative analysis. RESULTS Following our in-house analysis, we observed 64 non-synonymous SNPs, fifteen synonymous SNPs, and five INDELs in 25 drug resistance-associated genes/intergenic regions (IGRs) in M. tb isolates. Sensitivity for detecting XDR is 33%, 58%, 83%, and 83%, respectively, using Mykrobe predictor, PhyResSE, TB-profiler, and in-house pipeline for WGS analysis, respectively. TB-profiler detected a rare mutation H70R in the gyrA gene in one pre-XDR isolate. Lineage 2.2.1 East-Asian (Beijing sublineage type) predominated (60%) in WGS data analysis of the XDR isolates. CONCLUSIONS Our findings suggest that in-house analysis of WGS data and TB-profiler sensitivity was better for the detection of second-line resistance as compared to other automated tested tools. Frequent upgradation of newer mutations associated with resistance needs to be updated, as it potentiates tailored treatment for patients.
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Affiliation(s)
| | | | | | | | | | - Amit Arora
- Dept. of Medical Microbiology, PGIMER, India.
| | - Sunil Sethi
- Dept. of Medical Microbiology, PGIMER, India.
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Biset S, Teferi M, Alamirew H, Birhanu B, Dessie A, Aschale A, Haymanot A, Dejenie S, Gebremedhin T, Abebe W, Adane G. Trends of Mycobacterium tuberculosis and Rifampicin resistance in Northwest Ethiopia: Xpert® MTB/RIF assay results from 2015 to 2021. BMC Infect Dis 2024; 24:238. [PMID: 38389060 PMCID: PMC10882931 DOI: 10.1186/s12879-024-09135-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 02/13/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Tuberculosis (TB) remains one of the leading causes of morbidity and mortality worldwide, particularly in countries with limited resources. The emergence of drug resistance in mycobacterium tuberculosis (MTB), particularly rifampicin (RIF) resistance, hindered TB control efforts. Continuous surveillance and regular monitoring of drug-resistant TB, including rifampicin resistance (RR), are required for effective TB intervention strategies and prevention and control measures. OBJECTIVE Determine the trend of TB and RR-TB among presumptive TB patients in Northwest Ethiopia. METHOD A retrospective study was conducted at the University of Gondar Comprehensive Specialized Hospital (UoG-CSH). The study included TB registration logbook data from all patients who visited the hospital and were tested for MTB using the Xpert® MTB/RIF assay between 2015 and 2021. The SPSS version 26 software was used to enter, clean, and analyze the laboratory-based data. RESULTS A total of 18,787 patient results were included, with 93.8% (17,615/18787) of them being successful, meaning they were not invalid, error, or aborted. About 10.5% (1846/17615) of the 17,615 results were MTB-positive, with 7.42% (137/1846) RIF resistant. Age, anti-TB treatment history, and diagnosis year were associated with the presence of MTB and RR-MTB. Tuberculosis (TB) prevalence was higher in productive age groups, whereas RR-TB prevalence was higher in the elderly. Regarding diagnosis year, the prevalence of TB and RR-TB showed a declining trend as the year progressed. While MTB was detected in 12.8% (471/3669) of new and 22.2% (151/679) of re-treatment presumptive TB patients, RR-MTB was detected in 8.5% (40/471) of new and 18.5% (28/151) of re-treatment TB cases. CONCLUSION The prevalence of TB and RR-TB in the study area showed a declining trend over the years. While TB was more prevalent in productive age groups (15 to 45 years), RR-TB was more prevalent in older populations (over 45 years), than others. Moreover, patients with a history of anti-TB drug exposure were more likely to be positive for DR-TB, highlighting the need to strengthen DOT programs for proper management of TB treatment.
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Affiliation(s)
- Sirak Biset
- Department of Medical Microbiology, School of Biomedical and Laboratory Sciences, University of Gondar, Gondar, Ethiopia.
| | - Milto Teferi
- School of Biomedical and Laboratory Sciences, University of Gondar, Gondar, Ethiopia
| | - Haylemesikel Alamirew
- School of Biomedical and Laboratory Sciences, University of Gondar, Gondar, Ethiopia
| | - Biniyam Birhanu
- School of Biomedical and Laboratory Sciences, University of Gondar, Gondar, Ethiopia
| | - Awoke Dessie
- School of Biomedical and Laboratory Sciences, University of Gondar, Gondar, Ethiopia
| | - Abebe Aschale
- School of Biomedical and Laboratory Sciences, University of Gondar, Gondar, Ethiopia
| | - Anmaw Haymanot
- School of Biomedical and Laboratory Sciences, University of Gondar, Gondar, Ethiopia
| | - Selamu Dejenie
- University of Gondar Comprehensive Specialized Hospital, University of Gondar, Gondar, Ethiopia
| | - Teshager Gebremedhin
- University of Gondar Comprehensive Specialized Hospital, University of Gondar, Gondar, Ethiopia
| | - Wondwossen Abebe
- Department of Medical Microbiology, School of Biomedical and Laboratory Sciences, University of Gondar, Gondar, Ethiopia
| | - Gashaw Adane
- Department of Immunology and Molecular Biology, School of Biomedical and Laboratory Sciences, University of Gondar, Gondar, Ethiopia
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Negi A, Perveen S, Gupta R, Singh PP, Sharma R. Unraveling Dilemmas and Lacunae in the Escalating Drug Resistance of Mycobacterium tuberculosis to Bedaquiline, Delamanid, and Pretomanid. J Med Chem 2024; 67:2264-2286. [PMID: 38351709 DOI: 10.1021/acs.jmedchem.3c01892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Delamanid, bedaquiline, and pretomanid have been recently added in the anti-tuberculosis (anti-TB) treatment regimens and have emerged as potential solutions for combating drug-resistant TB. These drugs have proven to be effective in treating drug-resistant TB when used in combination. However, concerns have been raised about the eventual loss of these drugs due to evolving resistance mechanisms and certain adverse effects such as prolonged QT period, gastrointestinal problems, hepatotoxicity, and renal disorders. This Perspective emphasizes the properties of these first-in-class drugs, including their mechanism of action, pharmacokinetics/pharmacodynamics profiles, clinical studies, adverse events, and underlying resistance mechanisms. A brief coverage of efforts toward the generation of best-in-class leads in each class is also provided. The ongoing clinical trials of new combinations of these drugs are discussed, thus providing a better insight into the use of these drugs while designing an effective treatment regimen for resistant TB cases.
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Affiliation(s)
- Anjali Negi
- Infectious Diseases Division, CSIR - Indian Institute of Integrative Medicine, Jammu-180001, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad-201002, India
| | - Summaya Perveen
- Infectious Diseases Division, CSIR - Indian Institute of Integrative Medicine, Jammu-180001, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad-201002, India
| | - Ria Gupta
- Natural Products and Medicinal Chemistry, CSIR - Indian Institute of Integrative Medicine, Jammu-180001, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad-201002, India
| | - Parvinder Pal Singh
- Natural Products and Medicinal Chemistry, CSIR - Indian Institute of Integrative Medicine, Jammu-180001, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad-201002, India
| | - Rashmi Sharma
- Infectious Diseases Division, CSIR - Indian Institute of Integrative Medicine, Jammu-180001, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad-201002, India
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Fan YF, Liu DX, Chen YW, Ou XC, Mao QZ, Yang TT, Wang XJ, He WC, Zhao B, Liu ZJ, Abulimiti M, Aihemuti M, Gao Q, Zhao YL. Inferring Mycobacterium Tuberculosis Drug Resistance and Transmission using Whole-genome Sequencing in a High TB-burden Setting in China. Biomed Environ Sci 2024; 37:157-169. [PMID: 38582978 DOI: 10.3967/bes2023.116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 06/08/2023] [Indexed: 04/08/2024]
Abstract
Objective China is among the 30 countries with a high burden of tuberculosis (TB) worldwide, and TB remains a public health concern. Kashgar Prefecture in the southern Xinjiang Autonomous Region is considered as one of the highest TB burden regions in China. However, molecular epidemiological studies of Kashgar are lacking. Methods A population-based retrospective study was conducted using whole-genome sequencing (WGS) to determine the characteristics of drug resistance and the transmission patterns. Results A total of 1,668 isolates collected in 2020 were classified into lineages 2 (46.0%), 3 (27.5%), and 4 (26.5%). The drug resistance rates revealed by WGS showed that the top three drugs in terms of the resistance rate were isoniazid (7.4%, 124/1,668), streptomycin (6.0%, 100/1,668), and rifampicin (3.3%, 55/1,668). The rate of rifampicin resistance was 1.8% (23/1,290) in the new cases and 9.4% (32/340) in the previously treated cases. Known resistance mutations were detected more frequently in lineage 2 strains than in lineage 3 or 4 strains, respectively: 18.6% vs. 8.7 or 9%, P < 0.001. The estimated proportion of recent transmissions was 25.9% (432/1,668). Multivariate logistic analyses indicated that sex, age, occupation, lineage, and drug resistance were the risk factors for recent transmission. Despite the low rate of drug resistance, drug-resistant strains had a higher risk of recent transmission than the susceptible strains (adjusted odds ratio, 1.414; 95% CI, 1.023-1.954; P = 0.036). Among all patients with drug-resistant tuberculosis (DR-TB), 78.4% (171/218) were attributed to the transmission of DR-TB strains. Conclusion Our results suggest that drug-resistant strains are more transmissible than susceptible strains and that transmission is the major driving force of the current DR-TB epidemic in Kashgar.
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Affiliation(s)
- Yu Feng Fan
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Dong Xin Liu
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yi Wang Chen
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Xi Chao Ou
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Qi Zhi Mao
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Ting Ting Yang
- Hangzhou Red Cross Hospital, Hangzhou 310005, Zhejiang, China
| | - Xi Jiang Wang
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, Urumqi 830026, Xinjiang, China
| | - Wen Cong He
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Bing Zhao
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Zhen Jiang Liu
- Tuberculosis Dispensary of Kashgar Prefecture, Kashgar 844099, Xinjiang, China
| | | | | | - Qian Gao
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yan Lin Zhao
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Folliero V, Ferravante C, Iovane V, Salvati A, Crescenzo L, Perna R, Corvino G, Della Rocca MT, Panetta V, Tranfa A, Greco G, Baldoni T, Pagnini U, Finamore E, Giurato G, Nassa G, Coppola M, Atripaldi L, Greco R, D'Argenio A, Foti MG, Abate R, Del Giudice A, Sarnelli B, Weisz A, Iovane G, Pinto R, Franci G, Galdiero M. Whole Genome Sequence Dataset of Mycobacterium tuberculosis Strains from Patients of Campania Region. Sci Data 2024; 11:220. [PMID: 38374088 PMCID: PMC10876956 DOI: 10.1038/s41597-024-03032-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 01/31/2024] [Indexed: 02/21/2024] Open
Abstract
Tuberculosis (TB) is one of the deadliest infectious disorders in the world. To effectively TB manage, an essential step is to gain insight into the lineage of Mycobacterium tuberculosis (MTB) and the distribution of drug resistance. Although the Campania region is declared a cluster area for the infection, to contribute to the effort to understand TB evolution and transmission, still poorly known, we have generated a dataset of 159 genomes of MTB strains, from Campania region collected during 2018-2021, obtained from the analysis of whole genome sequence. The results show that the most frequent MTB lineage is the 4 according for 129 strains (81.11%). Regarding drug resistance, 139 strains (87.4%) were classified as multi susceptible, while the remaining 20 (12.58%) showed drug resistance. Among the drug-resistance strains, 8 were isoniazid-resistant MTB, 4 multidrug-resistant MTB, while only one was classified as pre-extensively drug-resistant MTB. This dataset expands the existing available knowledge on drug resistance and evolution of MTB, contributing to further TB-related genomics studies to improve the management of this disease.
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Affiliation(s)
- Veronica Folliero
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, Naples, Italy
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Carlo Ferravante
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Baronissi, SA, Italy
- Molecular Pathology and Medical Genomics Program, San Giovanni di Dio e Ruggi D'Aragona University Hospital, Salerno, Italy
| | - Valentina Iovane
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Naples, Italy
| | - Annamaria Salvati
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Baronissi, SA, Italy
- Molecular Pathology and Medical Genomics Program, San Giovanni di Dio e Ruggi D'Aragona University Hospital, Salerno, Italy
| | - Laura Crescenzo
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Baronissi, SA, Italy
| | - Rossella Perna
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, Naples, Italy
- Laboratory of Microbiology and Virology, Ospedali dei Colli, Naples, Italy
| | - Giusy Corvino
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, Naples, Italy
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
- UOC Microbiology - Ospedale Cardinale Ascalesi, ASL NA1, Naples, Italy
| | - Maria T Della Rocca
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, Naples, Italy
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
- UOSD Microbiology - AORN Sant 'Anna and San Sebastiano, Caserta, Italy
| | - Vittorio Panetta
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
- UOSD Microbiology - AORN Sant 'Anna and San Sebastiano, Caserta, Italy
| | - Alessandro Tranfa
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, Naples, Italy
- UOC Microbiology and Virology- San Giuseppe Moscati Hospital, Avellino, Italy
| | - Giuseppe Greco
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, Naples, Italy
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
- Clinical Pathology and Microbiology Unit, San Giovanni di Dio e Ruggi D'Aragona University Hospital, Salerno, Italy
| | - Teresa Baldoni
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, Naples, Italy
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy
- Laboratory of Microbiology and Virology, Ospedali dei Colli, Naples, Italy
| | - Ugo Pagnini
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, Naples, Italy
| | - Emiliana Finamore
- UOC Virology and Microbiology - University Hospital AOU "Luigi Vanvitelli", Naples, Italy
| | - Giorgio Giurato
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Baronissi, SA, Italy
| | - Giovanni Nassa
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Baronissi, SA, Italy
| | | | - Luigi Atripaldi
- Laboratory of Microbiology and Virology, Ospedali dei Colli, Naples, Italy
| | - Rita Greco
- UOSD Microbiology - AORN Sant 'Anna and San Sebastiano, Caserta, Italy
| | - Annamaria D'Argenio
- UOC Microbiology and Virology- San Giuseppe Moscati Hospital, Avellino, Italy
| | - Maria Grazia Foti
- UOC Microbiology and Virology- San Giuseppe Moscati Hospital, Avellino, Italy
| | - Rosamaria Abate
- UOC Microbiology - Ospedale Cardinale Ascalesi, ASL NA1, Naples, Italy
| | | | - Bruno Sarnelli
- UOC Microbiology - Ospedale Cardinale Ascalesi, ASL NA1, Naples, Italy
| | - Alessandro Weisz
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Baronissi, SA, Italy
- Molecular Pathology and Medical Genomics Program, San Giovanni di Dio e Ruggi D'Aragona University Hospital, Salerno, Italy
| | - Giuseppe Iovane
- Department of Veterinary Medicine and Animal Productions, University of Naples Federico II, Naples, Italy
| | - Renato Pinto
- UOD Prevenzione e Sanità Pubblica Veterinaria, Direzione Generale Tutela della Salute - Regione Campania, Naples, Italy
| | - Gianluigi Franci
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Baronissi, SA, Italy.
- Clinical Pathology and Microbiology Unit, San Giovanni di Dio e Ruggi D'Aragona University Hospital, Salerno, Italy.
| | - Massimiliano Galdiero
- Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
- UOC Virology and Microbiology - University Hospital AOU "Luigi Vanvitelli", Naples, Italy.
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Brown TS, Tang L, Omar SV, Joseph L, Meintjes G, Maartens G, Wasserman S, Shah NS, Farhat MR, Gandhi NR, Ismail N, Brust JCM, Mathema B. Genotype-Phenotype Characterization of Serial Mycobacterium tuberculosis Isolates in Bedaquiline-Resistant Tuberculosis. Clin Infect Dis 2024; 78:269-276. [PMID: 37874928 DOI: 10.1093/cid/ciad596] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND Emerging resistance to bedaquiline (BDQ) threatens to undermine advances in the treatment of drug-resistant tuberculosis (DRTB). Characterizing serial Mycobacterium tuberculosis (Mtb) isolates collected during BDQ-based treatment can provide insights into the etiologies of BDQ resistance in this important group of DRTB patients. METHODS We measured mycobacteria growth indicator tube (MGIT)-based BDQ minimum inhibitory concentrations (MICs) of Mtb isolates collected from 195 individuals with no prior BDQ exposure who were receiving BDQ-based treatment for DRTB. We conducted whole-genome sequencing on serial Mtb isolates from all participants who had any isolate with a BDQ MIC >1 collected before or after starting treatment (95 total Mtb isolates from 24 participants). RESULTS Sixteen of 24 participants had BDQ-resistant TB (MGIT MIC ≥4 µg/mL) and 8 had BDQ-intermediate infections (MGIT MIC = 2 µg/mL). Participants with pre-existing resistance outnumbered those with resistance acquired during treatment, and 8 of 24 participants had polyclonal infections. BDQ resistance was observed across multiple Mtb strain types and involved a diverse catalog of mmpR5 (Rv0678) mutations, but no mutations in atpE or pepQ. Nine pairs of participants shared genetically similar isolates separated by <5 single nucleotide polymorphisms, concerning for potential transmitted BDQ resistance. CONCLUSIONS BDQ-resistant TB can arise via multiple, overlapping processes, including transmission of strains with pre-existing resistance. Capturing the within-host diversity of these infections could potentially improve clinical diagnosis, population-level surveillance, and molecular diagnostic test development.
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Affiliation(s)
- Tyler S Brown
- Section of Infectious Diseases, Boston University School of Medicine, Boston, Massachusetts, USA
- Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Linrui Tang
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Shaheed Vally Omar
- Centre for Tuberculosis, National Institute for Communicable Diseases, Johannesburg, South Africa
- Department of Molecular Medicine & Hematology, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lavania Joseph
- Centre for Tuberculosis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Graeme Meintjes
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, and Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Gary Maartens
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, and Department of Medicine, University of Cape Town, Cape Town, South Africa
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Sean Wasserman
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, and Department of Medicine, University of Cape Town, Cape Town, South Africa
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - N Sarita Shah
- Departments of Epidemiology and Global Health and Medicine, Rollins School of Public Health and Emory School of Medicine, Atlanta, Georgia, USA
| | - Maha R Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA
| | - Neel R Gandhi
- Departments of Epidemiology and Global Health and Medicine, Rollins School of Public Health and Emory School of Medicine, Atlanta, Georgia, USA
| | - Nazir Ismail
- Centre for Tuberculosis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - James C M Brust
- Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, USA
| | - Barun Mathema
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA
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Che Y, Li X, Chen T, Lu Y, Sang G, Gao J, Gao J, Liu Z, He T, Chen Y. Transmission dynamics of drug-resistant tuberculosis in Ningbo, China: an epidemiological and genomic analysis. Front Cell Infect Microbiol 2024; 14:1327477. [PMID: 38384306 PMCID: PMC10879548 DOI: 10.3389/fcimb.2024.1327477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024] Open
Abstract
Background Tuberculosis (TB), particularly drug-resistant TB (DR-TB), remains a significant public health concern in Ningbo, China. Understanding its molecular epidemiology and spatial distribution is paramount for effective control. Methods From December 24, 2020, to March 12, 2023, we collected clinical Mycobacterium tuberculosis (MTB) strains in Ningbo, with whole-genome sequencing performed on 130 MTB strains. We analyzed DR-related gene mutations, conducted phylogenetic and phylodynamic analyses, identified recent transmission clusters, and assessed spatial distribution. Results Among 130 DR-TB cases, 41% were MDR-TB, 36% pre-XDR-TB, 19% RR-TB, and 3% HR-TB. The phylogenetic tree showed that 90% of strains were Lineage 2 (Beijing genotype), while remaining 10% were Lineage 4 (Euro-American genotype). The spatial analysis identified hotspots of DR-TB in Ningbo's northern region, particularly in traditional urban centers. 31 (24%) of the DR-TB cases were grouped into 7 recent transmission clusters with a large outbreak cluster containing 15 pre-XDR-TB patients. Epidemiological analyses suggested a higher risk of recent DR-TB transmission among young adult patients who frequently visited Internet cafes, game rooms, and factories. Conclusion Our study provides comprehensive insights into the epidemiology and genetics of DR-TB in Ningbo. The presence of genomic clusters highlights recent transmission events, indicating the need for targeted interventions. These findings are vital for informing TB control strategies in Ningbo and similar settings.
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Affiliation(s)
- Yang Che
- Institute of Tuberculosis Prevention and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Xiangchen Li
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Tong Chen
- Institute of Tuberculosis Prevention and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Yewei Lu
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Guoxin Sang
- Institute of Tuberculosis Prevention and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Junli Gao
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Junshun Gao
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Zhengwei Liu
- The Institute of Tuberculosis (TB) Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Tianfeng He
- Institute of Tuberculosis Prevention and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, Zhejiang, China
| | - Yi Chen
- Institute of Tuberculosis Prevention and Control, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, Zhejiang, China
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Girase R, Ahmad I, Patel H. Bioisosteric modification of Linezolid identified the potential M. tuberculosis protein synthesis inhibitors to overcome the myelosuppression and serotonergic toxicity associated with Linezolid in the treatment of the multi-drug resistance tuberculosis (MDR-TB). J Biomol Struct Dyn 2024; 42:2111-2126. [PMID: 37097976 DOI: 10.1080/07391102.2023.2203254] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 04/10/2023] [Indexed: 04/26/2023]
Abstract
Linezolid is the first and only oxazolidinone antibacterial drug was approved in the last 35 years. It exhibits bacteriostatic efficacy against M. tuberculosis and is a crucial constituent of the BPaL regimen (Bedaquiline, Pretomanid, and Linezolid), which was authorized by the FDA in 2019 for the treatment of XDR-TB or MDR-TB. Despite its unique mechanism of action, Linezolid carries a considerable risk of toxicity, including myelosuppression and serotonin syndrome (SS), which is caused by inhibition of mitochondrial protein synthesis (MPS) and monoamine oxidase (MAO), respectively. Based on the structure toxicity relationship (STR) of Linezolid, in this work, we used a bioisosteric replacement approach to optimize the structure of Linezolid at the C-ring and/or C-5 position for myelosuppression and serotogenic toxicity. Extensive hierarchical multistep docking, drug likeness prediction, molecular binding interactions analyses, and toxicity assessment identified three promising compounds (3071, 7549 and 9660) as less toxic potential modulators of Mtb EthR protein. Compounds 3071, 7549 and 9660 were having the significant docking score of -12.696 Kcal/mol, -12.681 Kcal/mol and -15.293 Kcal/mol towards the Mtb EthR protein with less MAO-A and B affinity [compound 3071: MAO A (-4.799 Kcal/mol) and MAO B (-6.552 Kcal/mol); compound 7549: MAO A (> -2.00 Kcal/mol) and MAO B (> -2.00 Kcal/mol) and compound 9660: MAO A (> -5.678 Kcal/mol) and MAO B (> -6.537Kcal/mol) and none of them shown the Leukopenia as a side effect due to the Myelosuppression. The MD simulation results and binding free energy estimations correspond well with docking analyses, indicating that the proposed compounds bind and inhibit the EthR protein more effectively than Linezolid. The quantum mechanical and electrical characteristics were evaluated using density functional theory (DFT), which also demonstrated that the proposed compounds are more reactive than Linezolid.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Rukaiyya Girase
- Division of Computer Aided Drug Design, Department of Pharmaceutical Chemistry, R. C. Patel Institute of Pharmaceutical Education and Research, Shirpur, India
| | - Iqrar Ahmad
- Division of Computer Aided Drug Design, Department of Pharmaceutical Chemistry, R. C. Patel Institute of Pharmaceutical Education and Research, Shirpur, India
| | - Harun Patel
- Division of Computer Aided Drug Design, Department of Pharmaceutical Chemistry, R. C. Patel Institute of Pharmaceutical Education and Research, Shirpur, India
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Sun H, Ma Z, Ai F, Han B, Li P, Liu J, Wu Y, Wang Y, Li B, Qi D, Pang Y. Insidious transmission of Mycobacterium tuberculosis in Ordos, China: a molecular epidemiology study. Eur J Clin Microbiol Infect Dis 2024; 43:305-312. [PMID: 38055064 DOI: 10.1007/s10096-023-04730-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/28/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND In this study, we conducted this population-based study to evaluate the genetic diversity and clustering rate of Mycobacterium tuberculosis (MTB) strains using the whole-genome sequencing (WGS), to better understand its transmission in Ordos. METHODS All patients with culture-positive TB notified in Ordos from January 2021 to December 2022 were recruited. WGS was performed to analyze single-nucleotide polymorphism (SNP) and to identify genotypic drug susceptibilities of MTB isolates. RESULTS Overall, a total of 186 patients were included in the present study, of whom 35 (18.8%) had no symptoms suggestive of active TB. Lineage 2 was the predominant MTB sublineage, accounting for 186 of isolates tested. When the pairwise SNP difference ≤ 12 was used as the cutoff for WGS-based clusters, we identified 17 genotypic clusters, and 38 isolates belonged to these 17 clusters, resulting in a clustering rate of 20.4%. The Beijing genotype was an independent factor associating with genomic-clustering (adjusted OR 4.219, 95% CI 0.962-18.502). The overall sensitivity on WGS-based resistance prediction was 85.7% for rifampicin, 73.1% for isoniazid, 60.0% for Ethambutol, 72.7% for streptomycin, and 72.7% for fluoroquinolones. CONCLUSION To conclude, the present study demonstrates the extensive recent transmission of Beijing genotype strains in the community of Ordos. The failure to provide a comprehensive pattern of transmission indicated the missed diagnosis of active TB within the community. A substantial proportion of subclinical TB cases are recognized in the bacteria-positive cases, emphasizing that we must interrupt transmission by finding people with active TB before they infect others.
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Affiliation(s)
- Hailin Sun
- Department of Tuberculosis, The Second People Hospital of Ordos, Ordos, China
| | - Zichun Ma
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China
| | - Fuli Ai
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China
| | - Bing Han
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China
| | - Peng Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China
| | - Juan Liu
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China
| | - Yiheng Wu
- Department of Tuberculosis, The Second People Hospital of Ordos, Ordos, China
| | - Yufeng Wang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China
| | - Bing Li
- Ordos Center for Disease Control and Prevention, Ordos, China
| | - Dan Qi
- Ordos Center for Disease Control and Prevention, Ordos, China
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No 9, Beiguan Street, Tongzhou District, Beijing, 101149, People's Republic of China.
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Yu M, Zhang C, Xu L, Peng K, Qiu H, Zhuo W, Zhao Y, Wu Z, Chen X, Chen Y, Liao Q, Huang Y, Wei W. Comparison of the MeltPro TB assay and whole-genome sequencing assay for rapid molecular diagnosis of drug resistant tuberculosis in guangdong province. Diagn Microbiol Infect Dis 2024; 108:116128. [PMID: 38007912 DOI: 10.1016/j.diagmicrobio.2023.116128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 10/24/2023] [Accepted: 10/30/2023] [Indexed: 11/28/2023]
Abstract
BACKGROUND Rifampicin (RIF) and multidrug-resistant tuberculosis (TB) are major public health threats. As conventional phenotypic drug susceptibility testing requires two-eight weeks, molecular diagnostic assays are widely used to determine drug resistance. METHODS Clinical Mycobacterium tuberculosis isolates with consistent drug susceptibility results, tested using microbroth dilution and proportion methods in Löwenstein-Jensen medium from patients with TB in Guangdong province were utilized to evaluate MeltPro TB and whole-genome sequencing (WGS) assays in detecting resistance to RIF, isoniazid (INH), ethambutol (EMB), fluoroquinolones (FQ), and streptomycin (SM). Solid phenotypic drug susceptibility testing was used as the gold standard to evaluate the detection capacity of MeltPro TB on clinical sputum samples of patients with TB. RESULTS Similar to WGS, MeltPro TB successfully detected RIF, INH, and SM resistance with sensitivities of 86.3, 84.8, and 86.6 %, respectively. However, the resistant isolate detection rates were only 58.1 and 69.6 % for EMB and FQ-resistant strains. For clinical specimens, MeltPro TB still showed good detectable rates of RIF and INH resistance, with sensitivities of 82.4 % and 95.2 %, respectively. Detectable rates of FQ and EMB resistance were low: 77.8 % and 35.3 %, respectively. CONCLUSIONS MeltPro TB can detect known DNA mutations associated with drug resistance in Mycobacterium tuberculosis strains with comparable efficacy to WGS. For FQ and EMB resistance testing, MeltPro TB requires optimization and is unsuitable for general use. MeltPro TB can be used for diagnosis of RIF and multidrug-resistant tuberculosis to rapidly initiate appropriate anti-TB drug therapy.
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Affiliation(s)
- Meiling Yu
- Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
| | - Chenchen Zhang
- Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
| | - Liuyue Xu
- Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
| | - Kehao Peng
- Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
| | - Haoqing Qiu
- Public Health Medical Center of Puning, Puning 515300, China
| | - Wenji Zhuo
- Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
| | - Yuchuan Zhao
- Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
| | - Zhuhua Wu
- Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
| | - Xunxun Chen
- Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
| | - Yanmei Chen
- Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
| | - Qinghua Liao
- Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China
| | - Yinna Huang
- Public Health Medical Center of Puning, Puning 515300, China
| | - Wenjing Wei
- Center for Tuberculosis Control of Guangdong Province, Guangzhou 510630, China.
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Zhou G, Luo S, He J, Chen N, Zhang Y, Cai S, Guo X, Chen H, Song C. Effectiveness and safety of tuberculosis preventive treatment for contacts of patients with multidrug-resistant tuberculosis: a systematic review and meta-analysis. Clin Microbiol Infect 2024; 30:189-196. [PMID: 37741621 DOI: 10.1016/j.cmi.2023.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 09/12/2023] [Accepted: 09/16/2023] [Indexed: 09/25/2023]
Abstract
BACKGROUND Contacts of patients with multidrug-resistant tuberculosis (MDR-TB) are at risk of developing TB disease. Tuberculosis preventive treatment (TPT) is an intervention that can potentially reduce this risk. OBJECTIVES To evaluate the effectiveness and safety of TPT for contacts of patients with MDR-TB. DATA SOURCES EMBASE, PubMed, Web of Science, and the Cochrane Library were searched for eligible studies on 24 July 2023, without start date restrictions. STUDY ELIGIBILITY CRITERIA We included studies that compared TPT with no treatment in contacts of patients with MDR-TB and reported outcomes of progression to TB disease. PARTICIPANTS Contacts of patients with MDR-TB. INTERVENTIONS TPT. ASSESSMENT OF RISK OF BIAS A modified version of the Newcastle-Ottawa Scale was used. METHODS OF DATA SYNTHESIS Random-effects meta-analysis was utilized to calculate the relative risk for disease progression to TB in contacts of patients with MDR-TB who received TPT compared to those who did not. Additionally, completion, adverse effect, and discontinued rates were assessed. RESULTS Involving 1105 individuals from 11 studies, the pooled relative risk for disease progression in contacts receiving TPT versus those without treatment was 0.34 (95% CI: 0.16-0.72). Subgroup analysis indicated a lower pooled relative risk for regimens based on the drug-resistance profile of the index patients with TB compared to uniform treatment regimens (0.22 [95% CI: 0.06-0.84] vs. 0.49 [95% CI: 0.17-1.35]), although not statistically significant. The pooled completed rate was 83.8%, adverse effect rate was 22.9%, and discontinued rate was 6.5%. After excluding the levofloxacin and pyrazinamide regimen study, the completed rate increased to 88.0%, and adverse effects and discontinued rates decreased to 8.0% and 4.0%, respectively. DISCUSSION TPT reduces TB disease progression risk in contacts of patients with MDR-TB. Tailored TPT regimens based on drug-resistance profiles may offer additional benefits. Furthermore, efforts to improve completed rates and manage adverse effects are essential for optimizing effectiveness and safety.
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Affiliation(s)
- Guozhong Zhou
- Department of Science and Research, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan Province, China
| | - Shiqi Luo
- Department of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Jian He
- Department of Pulmonary and Critical Care Medicine, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan Province, China
| | - Nan Chen
- Department of Endocrinology, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan Province, China
| | - Yu Zhang
- Department of Endocrinology, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan Province, China
| | - Shunli Cai
- School of Basic Medical Sciences, Kunming Medical University, Kunming, Yunnan Province, China
| | - Xin Guo
- School of Basic Medical Sciences, Kunming Medical University, Kunming, Yunnan Province, China
| | - Hongbo Chen
- Department of Pulmonary and Critical Care Medicine, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan Province, China
| | - Chao Song
- Department of Medical Imaging, The Affiliated Anning First People's Hospital of Kunming University of Science and Technology, Kunming, Yunnan Province, China.
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Gao X, Feng J, Wei L, Dong P, Chen J, Zhang L, Yang Y, Xu L, Wang H, Luo J, Qin M. Defensins: A novel weapon against Mycobacterium tuberculosis? Int Immunopharmacol 2024; 127:111383. [PMID: 38118315 DOI: 10.1016/j.intimp.2023.111383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 12/04/2023] [Accepted: 12/12/2023] [Indexed: 12/22/2023]
Abstract
Tuberculosis (TB) is a serious airborne communicable disease caused by organisms of the Mycobacterium tuberculosis (Mtb) complex. Although the standard treatment antimicrobials, including isoniazid, rifampicin, pyrazinamide, and ethambutol, have made great progress in the treatment of TB, problems including the rising incidence of multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB), the severe toxicity and side effects of antimicrobials, and the low immunity of TB patients have become the bottlenecks of the current TB treatments. Therefore, both safe and effective new strategies to prevent and treat TB have become a top priority. As a subfamily of cationic antimicrobial peptides, defensins are rich in cysteine and play a vital role in resisting the invasion of microorganisms and regulating the immune response. Inspired by studies on the roles of defensins in host defence, we describe their research history and then review their structural features and antimicrobial mechanisms, specifically for fighting Mtb in detail. Finally, we discuss the clinical relevance, therapeutic potential, and potential challenges of defensins in anti-TB therapy. We further debate the possible solutions of the current application of defensins to provide new insights for eliminating Mtb.
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Affiliation(s)
- Xuehan Gao
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Special Key Laboratory of Gene Detection & Therapy, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Jihong Feng
- Department of Oncology, The Sixth Affiliated Hospital of Wenzhou Medical University, Lishui People's Hospital, Lishui 323000, China
| | - Linna Wei
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Special Key Laboratory of Gene Detection & Therapy, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Pinzhi Dong
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Special Key Laboratory of Gene Detection & Therapy, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Jin Chen
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Special Key Laboratory of Gene Detection & Therapy, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Langlang Zhang
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Special Key Laboratory of Gene Detection & Therapy, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Yuhan Yang
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Special Key Laboratory of Gene Detection & Therapy, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Lin Xu
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Special Key Laboratory of Gene Detection & Therapy, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Haiyan Wang
- Department of Epidemiology and Health Statistics, Zunyi Medical University, Zunyi, Guizhou 563000, China
| | - Junmin Luo
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Special Key Laboratory of Gene Detection & Therapy, Zunyi Medical University, Zunyi, Guizhou 563000, China.
| | - Ming Qin
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Special Key Laboratory of Gene Detection & Therapy, Zunyi Medical University, Zunyi, Guizhou 563000, China; Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, Zunyi Medical University, Zunyi, Guizhou 563000, China.
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Barilar I, Battaglia S, Borroni E, Brandao AP, Brankin A, Cabibbe AM, Carter J, Chetty D, Cirillo DM, Claxton P, Clifton DA, Cohen T, Coronel J, Crook DW, Dreyer V, Earle SG, Escuyer V, Ferrazoli L, Fowler PW, Gao GF, Gardy J, Gharbia S, Ghisi KT, Ghodousi A, Gibertoni Cruz AL, Grandjean L, Grazian C, Groenheit R, Guthrie JL, He W, Hoffmann H, Hoosdally SJ, Hunt M, Iqbal Z, Ismail NA, Jarrett L, Joseph L, Jou R, Kambli P, Khot R, Knaggs J, Koch A, Kohlerschmidt D, Kouchaki S, Lachapelle AS, Lalvani A, Lapierre SG, Laurenson IF, Letcher B, Lin WH, Liu C, Liu D, Malone KM, Mandal A, Mansjö M, Calisto Matias DVL, Meintjes G, de Freitas Mendes F, Merker M, Mihalic M, Millard J, Miotto P, Mistry N, Moore D, Musser KA, Ngcamu D, Nhung HN, Niemann S, Nilgiriwala KS, Nimmo C, O’Donnell M, Okozi N, Oliveira RS, Omar SV, Paton N, Peto TEA, Pinhata JMW, Plesnik S, Puyen ZM, Rabodoarivelo MS, Rakotosamimanana N, Rancoita PMV, Rathod P, Robinson ER, Rodger G, Rodrigues C, Rodwell TC, Roohi A, Santos-Lazaro D, Shah S, Smith G, Kohl TA, Solano W, Spitaleri A, Steyn AJC, Supply P, Surve U, Tahseen S, Thuong NTT, Thwaites G, Todt K, Trovato A, Utpatel C, Van Rie A, Vijay S, Walker AS, Walker TM, Warren R, Werngren J, Wijkander M, Wilkinson RJ, Wilson DJ, Wintringer P, Xiao YX, Yang Y, Yanlin Z, Yao SY, Zhu B. Quantitative measurement of antibiotic resistance in Mycobacterium tuberculosis reveals genetic determinants of resistance and susceptibility in a target gene approach. Nat Commun 2024; 15:488. [PMID: 38216576 PMCID: PMC10786857 DOI: 10.1038/s41467-023-44325-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 12/08/2023] [Indexed: 01/14/2024] Open
Abstract
The World Health Organization has a goal of universal drug susceptibility testing for patients with tuberculosis. However, molecular diagnostics to date have focused largely on first-line drugs and predicting susceptibilities in a binary manner (classifying strains as either susceptible or resistant). Here, we used a multivariable linear mixed model alongside whole genome sequencing and a quantitative microtiter plate assay to relate genomic mutations to minimum inhibitory concentration (MIC) in 15,211 Mycobacterium tuberculosis clinical isolates from 23 countries across five continents. We identified 492 unique MIC-elevating variants across 13 drugs, as well as 91 mutations likely linked to hypersensitivity. Our results advance genetics-based diagnostics for tuberculosis and serve as a curated training/testing dataset for development of drug resistance prediction algorithms.
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Sao Emani C, Reiling N. Spermine enhances the activity of anti-tuberculosis drugs. Microbiol Spectr 2024; 12:e0356823. [PMID: 38095461 PMCID: PMC10782994 DOI: 10.1128/spectrum.03568-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 11/11/2023] [Indexed: 12/21/2023] Open
Abstract
IMPORTANCE This is the first study that attempted to demonstrate the mechanisms of reactive oxygen species (ROS) generation by spermine (Spm) in Mycobacterium tuberculosis (M.tb). Furthermore, this is the first study to demonstrate that it is able to enhance the activity of currently available and World Health Organization (WHO)-approved tuberculosis (TB) drugs. Spermine can easily be obtained since it is already found in our diet. Moreover, as opposed to conventional antibiotics, it is less toxic to humans since it is found in millimolar concentrations in the body. Finally, with the difficulty of curing TB with conventional antibiotics, this study suggests that less toxic molecules, such as Spm, could in a long-term perspective be incorporated in a TB regimen to boost the treatment.
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Affiliation(s)
- Carine Sao Emani
- Microbial Interface Biology, Research Center Borstel, Leibniz Lung Center, Borstel, Germany
| | - Norbert Reiling
- Microbial Interface Biology, Research Center Borstel, Leibniz Lung Center, Borstel, Germany
- German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
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Qadir M, Faryal R, Khan MT, Khan SA, Zhang S, Li W, Wei DQ, Tahseen S, McHugh TD. Phenotype versus genotype discordant rifampicin susceptibility testing in tuberculosis: implications for a diagnostic accuracy. Microbiol Spectr 2024; 12:e0163123. [PMID: 37982632 PMCID: PMC10783056 DOI: 10.1128/spectrum.01631-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 10/10/2023] [Indexed: 11/21/2023] Open
Abstract
IMPORTANCE An accurate diagnosis of drug resistance in clinical isolates is an important step for better treatment outcomes. The current study observed a higher discordance rate of rifampicin resistance on Mycobacteria Growth Indicator Tube (MGIT) drug susceptibility testing (DST) than Lowenstein-Jenson (LJ) DST when compared with the rpoB sequencing. We detected a few novel mutations and their combination in rifampicin resistance isolates that were missed by MGIT DST and may be useful for the better management of tuberculosis (TB) treatment outcomes. Few novel deletions in clinical isolates necessitate the importance of rpoB sequencing in large data sets in geographic-specific locations, especially high-burden countries. We explored the discordance rate on MGIT and LJ, which is important for the clinical management of rifampicin resistance to avoid the mistreatment of drug-resistant TB. Furthermore, MGIT-sensitive isolates may be subjected to molecular methods of diagnosis for further confirmation and treatment options.
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Affiliation(s)
- Mehmood Qadir
- National TB Control Program, National TB Reference Laboratory, Islamabad, Pakistan
- Department of Microbiology, Quaid-i-Azam University, Islamabad, Pakistan
| | - Rani Faryal
- Department of Microbiology, Quaid-i-Azam University, Islamabad, Pakistan
| | - Muhammad Tahir Khan
- Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Nanyang, Henan, China
- Institute of Molecular Biology and Biotechnology (IMBB), The University of Lahore, Lahore, Pakistan
| | - Sajjad Ahmed Khan
- National TB Control Program, National TB Reference Laboratory, Islamabad, Pakistan
| | - Shulin Zhang
- School of Medicine, Department of Immunology and Microbiology, Shanghai Jiao Tong University, Shanghai, China
| | - Weimin Li
- National Tuberculosis Clinical Lab of China, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Dong Qing Wei
- Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Nanyang, Henan, China
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Peng Cheng Laboratory, Shenzhen, Guangdong, China
| | - Sabira Tahseen
- National TB Control Program, National TB Reference Laboratory, Islamabad, Pakistan
| | - Timothy D. McHugh
- Centre for Clinical Microbiology, University College London, London, United Kingdom
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Pandey S, Vilchèze C, Werngren J, Bainomugisa A, Mansjö M, Groenheit R, Miotto P, Cirillo DM, Coulter C, Baulard AR, Schön T, Jacobs WR, Djaout K, Köser CU. Loss-of-function mutations in ndh do not confer delamanid, ethionamide, isoniazid, or pretomanid resistance in Mycobacterium tuberculosis. Antimicrob Agents Chemother 2024; 68:e0109623. [PMID: 38038476 PMCID: PMC10777854 DOI: 10.1128/aac.01096-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/13/2023] [Indexed: 12/02/2023] Open
Abstract
Results from clinical strains and knockouts of the H37Rv and CDC1551 laboratory strains demonstrated that ndh (Rv1854c) is not a resistance-conferring gene for isoniazid, ethionamide, delamanid, or pretomanid in Mycobacterium tuberculosis. This difference in the susceptibility to NAD-adduct-forming drugs compared with other mycobacteria may be driven by differences in the absolute intrabacterial NADH concentration.
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Affiliation(s)
- Sushil Pandey
- Queensland Mycobacterium Reference Laboratory, Pathology Queensland, Brisbane, Queensland, Australia
| | - Catherine Vilchèze
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Arnold Bainomugisa
- Queensland Mycobacterium Reference Laboratory, Pathology Queensland, Brisbane, Queensland, Australia
| | | | | | - Paolo Miotto
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniela M. Cirillo
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Christopher Coulter
- Queensland Mycobacterium Reference Laboratory, Pathology Queensland, Brisbane, Queensland, Australia
| | - Alain R. Baulard
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR9017 - CIIL - Center for Infection and Immunity of Lille, Lille, France
| | - Thomas Schön
- Department of Infectious Diseases, Linköping University Hospital, Linköping, Sweden
- Division of Infection and Inflammation, Institute of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
- Department of Infectious Diseases, Region Östergötland and Kalmar County Hospital, Linköping University, Linköping, Sweden
| | - William R. Jacobs
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Kamel Djaout
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR9017 - CIIL - Center for Infection and Immunity of Lille, Lille, France
| | - Claudio U. Köser
- Department of Genetics, University of Cambridge, Cambridge, United Kingdom
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Pinhata JMW, Ferrazoli L, Mendes FDF, Gonçalves MG, Rabello MCDS, Ghisi KT, Simonsen V, Cavalin RF, Lindoso AABP, de Oliveira RS. A descriptive study on isoniazid resistance-associated mutations, clustering and treatment outcomes of drug-resistant tuberculosis in a high burden country. Eur J Clin Microbiol Infect Dis 2024; 43:73-85. [PMID: 37943394 DOI: 10.1007/s10096-023-04693-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 10/24/2023] [Indexed: 11/10/2023]
Abstract
PURPOSE To describe katG and inhA mutations, clinical characteristics, treatment outcomes and clustering of drug-resistant tuberculosis (TB) in the State of São Paulo, southeast Brazil. METHODS Mycobacterium tuberculosis isolates from patients diagnosed with drug-resistant TB were screened for mutations in katG and inhA genes by line probe assay and Sanger sequencing, and typed by IS6110-restriction fragment-length polymorphism for clustering assessment. Clinical, epidemiological and demographic data were obtained from surveillance information systems for TB. RESULTS Among the 298 isolates studied, 127 (42.6%) were isoniazid-monoresistant, 36 (12.1%) polydrug-resistant, 93 (31.2%) MDR, 16 (5.4%) pre-extensively drug-resistant (pre-XDR), 9 (3%) extensively drug-resistant (XDR) and 17 (5.7%) susceptible after isoniazid retesting. The frequency of katG 315 mutations alone was higher in MDR isolates, while inhA promoter mutations alone were more common in isoniazid-monoresistant isolates. Twenty-six isolates phenotypically resistant to isoniazid had no mutations either in katG or inhA genes. The isolates with inhA mutations were found more frequently in clusters (75%) when compared to the isolates with katG 315 mutations (59.8%, p = 0.04). In our population, being 35-64 years old, presenting MDR-, pre-XDR- or XDR-TB and being a retreatment case were associated with unfavourable TB treatment outcomes. CONCLUSION We found that katG and inhA mutations were not equally distributed between isoniazid-monoresistant and MDR isolates. In our population, clustering was higher for isolates with inhA mutations. Finally, unfavourable TB outcomes were associated with specific factors.
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Affiliation(s)
- Juliana Maira Watanabe Pinhata
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), Av. Dr. Arnaldo, 351, 9º Andar, São Paulo, SP, 01246-000, Brazil.
| | - Lucilaine Ferrazoli
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), Av. Dr. Arnaldo, 351, 9º Andar, São Paulo, SP, 01246-000, Brazil
| | - Flávia de Freitas Mendes
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), Av. Dr. Arnaldo, 351, 9º Andar, São Paulo, SP, 01246-000, Brazil
| | - Maria Gisele Gonçalves
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), Av. Dr. Arnaldo, 351, 9º Andar, São Paulo, SP, 01246-000, Brazil
| | | | - Kelen Teixeira Ghisi
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), Av. Dr. Arnaldo, 351, 9º Andar, São Paulo, SP, 01246-000, Brazil
| | - Vera Simonsen
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), Av. Dr. Arnaldo, 351, 9º Andar, São Paulo, SP, 01246-000, Brazil
| | | | | | - Rosângela Siqueira de Oliveira
- Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, Instituto Adolfo Lutz (IAL), Av. Dr. Arnaldo, 351, 9º Andar, São Paulo, SP, 01246-000, Brazil
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Ou X, Song Z, Zhao B, Pei S, Teng C, Zheng H, He W, Xing R, Wang Y, Wang S, Xia H, Zhou Y, He P, Zhao Y. Diagnostic efficacy of an optimized nucleotide MALDI-TOF-MS assay for anti-tuberculosis drug resistance detection. Eur J Clin Microbiol Infect Dis 2024; 43:105-114. [PMID: 37980301 DOI: 10.1007/s10096-023-04700-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 11/01/2023] [Indexed: 11/20/2023]
Abstract
PURPOSE We aimed at evaluating the diagnostic efficacy of a nucleotide matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) assay to detect drug resistance of Mycobacterium tuberculosis. METHODS Overall, 263 M. tuberculosis clinical isolates were selected to evaluate the performance of nucleic MALDI-TOF-MS for rifampin (RIF), isoniazid (INH), ethambutol (EMB), moxifloxacin (MXF), streptomycin (SM), and pyrazinamide (PZA) resistance detection. The results for RIF, INH, EMB, and MXF were compared with phenotypic microbroth dilution drug susceptibility testing (DST) and whole-genome sequencing (WGS), and the results for SM and PZA were compared with those obtained by WGS. RESULTS Using DST as the gold standard, the sensitivity, specificity, and kappa values of the MALDI-TOF-MS assay for the detection of resistance were 98.2%, 98.7%, and 0.97 for RIF; 92.8%, 99%, and 0.90 for INH; 82.4%, 98.0%, and 0.82 for EMB; and 92.6%, 99.5%, and 0.94 for MXF, respectively. Compared with WGS as the reference standard, the sensitivity, specificity, and kappa values of the MALDI-TOF-MS assay for the detection of resistance were 97.4%, 100.0%, and 0.98 for RIF; 98.7%, 92.9%, and 0.92 for INH; 96.3%, 100.0%, and 0.98 for EMB; 98.1%, 100.0%, and 0.99 for MXF; 98.0%, 100.0%, and 0.98 for SM; and 50.0%, 100.0%, and 0.65 for PZA. CONCLUSION The nucleotide MALDI-TOF-MS assay yielded highly consistent results compared to DST and WGS, suggesting that it is a promising tool for the rapid detection of sensitivity to RIF, INH, EMB, and MXF.
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Affiliation(s)
- Xichao Ou
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Zexuan Song
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Bing Zhao
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Shaojun Pei
- School of Public Health, Peking University, Beijing, 100191, China
| | - Chong Teng
- Department of Tuberculosis, Beijing Dongcheng District Center for Disease Control, Beijing, 100050, China
| | - Huiwen Zheng
- Laboratory of Respiratory Diseases, Beijing Key Laboratory of Pediatric Respiratory Infection Diseases, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China
| | - Wencong He
- Clinical Laboratory, Beijing Tong Ren Hospital, Capital Medical University, Beijing, 100730, China
| | - Ruida Xing
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Yiting Wang
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Shengfen Wang
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Hui Xia
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Yang Zhou
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Ping He
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China
| | - Yanlin Zhao
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, No. 155 Chang Bai Road, Changping District, Beijing, 102206, People's Republic of China.
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50
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Dorji T, Horan K, Sherry NL, Tay EL, Globan M, Viberg L, Bond K, Denholm JT, Howden BP, Andersson P. Whole genome sequencing of drug-resistant Mycobacterium tuberculosis isolates in Victoria, Australia. Int J Infect Dis 2024; 138:46-53. [PMID: 37967715 DOI: 10.1016/j.ijid.2023.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 10/31/2023] [Accepted: 11/06/2023] [Indexed: 11/17/2023] Open
Abstract
OBJECTIVES Whole genome sequencing (WGS) can identify clusters, transmission patterns, and drug resistance mutations. This is important in low-burden settings such as Australia, as it can assist in efficient contact tracing and surveillance. METHODS We conducted a retrospective cohort study using WGS from 155 genomically defined drug-resistant Mycobacterium tuberculosis (DR-TB) isolates collected between 2018-2021 in Victoria, Australia. Bioinformatic analysis was performed to identify resistance-conferring mutations, lineages, clusters and understand how local sequences compared with international context. RESULTS Of the 155 sequences, 42% were identified as lineage 2 and 35% as lineage 1; 65.8% (102/155) were isoniazid mono-resistant, 8.4% were multi-drug resistant TB and 5.8% were pre-extensively drug-resistant / extensively drug-resistant TB. The most common mutations were observed in katG and fabG1 genes, especially at Ser315Thr and fabG1 -15 C>T for first-line drugs. Ser450Leu was the most frequent mutation in rpoB gene. Phylogenetic analysis confirmed that Victorian DR-TB were associated with importation events. There was little evidence of local transmission with only five isolate pairs. CONCLUSION Isoniazid-resistant TB is the commonest DR-TB in Victoria, and the mutation profile is similar to global circulating DR-TB. Most cases are diagnosed among migrants with limited transmission. This study highlights the value of WGS in identification of clusters and resistance-conferring mutations. This information is crucial in supporting disease mitigation and treatment strategies.
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Affiliation(s)
- Thinley Dorji
- Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
| | - Kristy Horan
- Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
| | - Norelle L Sherry
- Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia; Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
| | - Ee Laine Tay
- Communicable Disease Epidemiology and Surveillance, Health Protection Branch, Public Health Division, Department of Health, Melbourne, Australia
| | - Maria Globan
- Mycobacterium Reference Laboratory, Victorian Infectious Diseases Reference Laboratory, Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
| | - Linda Viberg
- Mycobacterium Reference Laboratory, Victorian Infectious Diseases Reference Laboratory, Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
| | - Katherine Bond
- Mycobacterium Reference Laboratory, Victorian Infectious Diseases Reference Laboratory, Royal Melbourne Hospital at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia; Royal Melbourne Hospital, Melbourne, Australia
| | - Justin T Denholm
- Royal Melbourne Hospital, Melbourne, Australia; Victorian Tuberculosis Program. Melbourne Health at the Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia; Department of Infectious Diseases at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
| | - Benjamin P Howden
- Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia; Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia; Centre for Pathogen Genomics, University of Melbourne, Australia.
| | - Patiyan Andersson
- Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia; Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology at The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
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