1
|
Decroo T, Mesic A, Decuyper I. Longevity of modified standard short treatment regimens for rifampicin-resistant tuberculosis. THE LANCET. INFECTIOUS DISEASES 2024; 24:1069-1071. [PMID: 38880113 DOI: 10.1016/s1473-3099(24)00294-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 06/18/2024]
Affiliation(s)
- Tom Decroo
- Unit of HIV & TB, Clinical Science Department, Institute of Tropical Medicine Antwerp, 2000 Antwerp, Belgium.
| | - Anita Mesic
- Unit of HIV & TB, Clinical Science Department, Institute of Tropical Medicine Antwerp, 2000 Antwerp, Belgium; Public Health Department, Médecins Sans Frontières, Amsterdam, Netherlands
| | - Ine Decuyper
- Unit of HIV & TB, Clinical Science Department, Institute of Tropical Medicine Antwerp, 2000 Antwerp, Belgium
| |
Collapse
|
2
|
Esteves LS, Gomes LL, Brites D, Fandinho FCO, Bhering M, Pereira MADS, Conceição EC, Salvato R, da Costa BP, Medeiros RFDM, Caldas PCDS, Redner P, Dalcolmo MP, Eldholm V, Gagneux S, Rossetti ML, Kritski AL, Suffys PN. Genetic Characterization and Population Structure of Drug-Resistant Mycobacterium tuberculosis Isolated from Brazilian Patients Using Whole-Genome Sequencing. Antibiotics (Basel) 2024; 13:496. [PMID: 38927163 PMCID: PMC11200758 DOI: 10.3390/antibiotics13060496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/28/2024] Open
Abstract
The present study aimed to determine the genetic diversity of isolates of Mycobacterium tuberculosis (Mtb) from presumed drug-resistant tuberculosis patients from several states of Brazil. The isolates had been submitted to conventional drug susceptibility testing for first- and second-line drugs. Multidrug-resistant (MDR-TB) (54.8%) was the most frequent phenotypic resistance profile, in addition to an important high frequency of pre-extensive resistance (p-XDR-TB) (9.2%). Using whole-genome sequencing (WGS), we characterized 298 Mtb isolates from Brazil. Besides the analysis of genotype distribution and possible correlations between molecular and clinical data, we determined the performance of an in-house WGS pipeline with other online pipelines for Mtb lineages and drug resistance profile definitions. Sub-lineage 4.3 (52%) was the most frequent genotype, and the genomic approach revealed a p-XDR-TB level of 22.5%. We detected twenty novel mutations in three resistance genes, and six of these were observed in eight phenotypically resistant isolates. A cluster analysis of 170 isolates showed that 43.5% of the TB patients belonged to 24 genomic clusters, suggesting considerable ongoing transmission of DR-TB, including two interstate transmissions. The in-house WGS pipeline showed the best overall performance in drug resistance prediction, presenting the best accuracy values for five of the nine drugs tested. Significant associations were observed between suffering from fatal disease and genotypic p-XDR-TB (p = 0.03) and either phenotypic (p = 0.006) or genotypic (p = 0.0007) ethambutol resistance. The use of WGS analysis improved our understanding of the population structure of MTBC in Brazil and the genetic and clinical data correlations and demonstrated its utility for surveillance efforts regarding the spread of DR-TB, hopefully helping to avoid the emergence of even more resistant strains and to reduce TB incidence and mortality rates.
Collapse
Affiliation(s)
- Leonardo Souza Esteves
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-590, RJ, Brazil;
- Centro de Desenvolvimento Científico e Tecnológico (CDCT), Secretaria Estadual de Saúde (SES-RS), Porto Alegre 90450-190, RS, Brazil;
- Laboratório de Biologia Molecular Aplicado à Micobactérias, Fundação Oswaldo Cruz (FIOCRUZ), Instituto Oswaldo Cruz (IOC), Rio de Janeiro 21040-360, RJ, Brazil; (L.L.G.); (P.N.S.)
| | - Lia Lima Gomes
- Laboratório de Biologia Molecular Aplicado à Micobactérias, Fundação Oswaldo Cruz (FIOCRUZ), Instituto Oswaldo Cruz (IOC), Rio de Janeiro 21040-360, RJ, Brazil; (L.L.G.); (P.N.S.)
| | - Daniela Brites
- Swiss Tropical and Public Health Institute (Swiss TPH), CH-4123 Allschwil, Switzerland; (D.B.); (S.G.)
- University of Basel, CH-4001 Basel, Switzerland
| | - Fátima Cristina Onofre Fandinho
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Marcela Bhering
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Márcia Aparecida da Silva Pereira
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Emilyn Costa Conceição
- Department of Science and Innovation—National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa;
| | - Richard Salvato
- Centro de Desenvolvimento Científico e Tecnológico (CDCT), Secretaria Estadual de Saúde (SES-RS), Porto Alegre 90450-190, RS, Brazil;
| | - Bianca Porphirio da Costa
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Reginalda Ferreira de Melo Medeiros
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Paulo Cesar de Souza Caldas
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Paulo Redner
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Margareth Pretti Dalcolmo
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Vegard Eldholm
- Norwegian Institute of Public Health, 0213 Oslo, Norway;
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute (Swiss TPH), CH-4123 Allschwil, Switzerland; (D.B.); (S.G.)
- University of Basel, CH-4001 Basel, Switzerland
| | - Maria Lucia Rossetti
- Laboratório de Biologia Molecular, Universidade Luterana do Brasil (ULBRA), Canoas 92425-020, RS, Brazil;
| | - Afrânio Lineu Kritski
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-590, RJ, Brazil;
| | - Philip Noel Suffys
- Laboratório de Biologia Molecular Aplicado à Micobactérias, Fundação Oswaldo Cruz (FIOCRUZ), Instituto Oswaldo Cruz (IOC), Rio de Janeiro 21040-360, RJ, Brazil; (L.L.G.); (P.N.S.)
| |
Collapse
|
3
|
Naidoo K, Perumal R, Ngema SL, Shunmugam L, Somboro AM. Rapid Diagnosis of Drug-Resistant Tuberculosis-Opportunities and Challenges. Pathogens 2023; 13:27. [PMID: 38251335 PMCID: PMC10819693 DOI: 10.3390/pathogens13010027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/08/2023] [Accepted: 12/20/2023] [Indexed: 01/23/2024] Open
Abstract
Global tuberculosis (TB) eradication is undermined by increasing prevalence of emerging resistance to available drugs, fuelling ongoing demand for more complex diagnostic and treatment strategies. Early detection of TB drug resistance coupled with therapeutic decision making guided by rapid characterisation of pre-treatment and treatment emergent resistance remains the most effective strategy for averting Drug-Resistant TB (DR-TB) transmission, reducing DR-TB associated mortality, and improving patient outcomes. Solid- and liquid-based mycobacterial culture methods remain the gold standard for Mycobacterium tuberculosis (MTB) detection and drug susceptibility testing (DST). Unfortunately, delays to result return, and associated technical challenges from requirements for specialised resource and capacity, have limited DST use and availability in many high TB burden resource-limited countries. There is increasing availability of a variety of rapid nucleic acid-based diagnostic assays with adequate sensitivity and specificity to detect gene mutations associated with resistance to one or more drugs. While a few of these assays produce comprehensive calls for resistance to several first- and second-line drugs, there is still no endorsed genotypic drug susceptibility test assay for bedaquiline, pretomanid, and delamanid. The global implementation of regimens comprising these novel drugs in the absence of rapid phenotypic drug resistance profiling has generated a new set of diagnostic challenges and heralded a return to culture-based phenotypic DST. In this review, we describe the available tools for rapid diagnosis of drug-resistant tuberculosis and discuss the associated opportunities and challenges.
Collapse
Affiliation(s)
- Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa (S.L.N.); (L.S.); (A.M.S.)
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban 4001, South Africa
| | - Rubeshan Perumal
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa (S.L.N.); (L.S.); (A.M.S.)
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban 4001, South Africa
| | - Senamile L. Ngema
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa (S.L.N.); (L.S.); (A.M.S.)
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban 4001, South Africa
| | - Letitia Shunmugam
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa (S.L.N.); (L.S.); (A.M.S.)
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban 4001, South Africa
| | - Anou M. Somboro
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa (S.L.N.); (L.S.); (A.M.S.)
- SAMRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban 4001, South Africa
| |
Collapse
|
4
|
Wang Y, Xu Q, Xu B, Lin Y, Yang X, Tong J, Huang C. Clinical performance of nucleotide MALDI-TOF-MS in the rapid diagnosis of pulmonary tuberculosis and drug resistance. Tuberculosis (Edinb) 2023; 143:102411. [PMID: 37748279 DOI: 10.1016/j.tube.2023.102411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/17/2023] [Accepted: 09/20/2023] [Indexed: 09/27/2023]
Abstract
OBJECTIVE To evaluate the application value of nucleotide matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) technology in the rapid diagnosis of pulmonary tuberculosis (PTB) and its drug resistance. METHODS From February 2021 to January 2022, respiratory specimens from 214 suspected PTB patients at the First Hospital of Quanzhou were collected. Nucleotide MALDI-TOF-MS and BACTEC MGIT 960 culture methods were used for the detection of Mycobacterium tuberculosis (MTB) and drug resistance to anti-tuberculosis drugs. RESULTS Compared with culture method, nucleotide MALDI-TOF-MS technology had a sensitivity, specificity, and accuracy of 92.2%, 74.1%, and 82.7%, respectively, for the detection of MTB in respiratory specimens. With clinical diagnosis as the reference standard, the sensitivity and accuracy of nucleotide MALDI-TOF-MS were 82.5% and 86.0%, respectively, which were higher than those of the culture method (69.2% and 78.0%, respectively). The specificity of nucleotide MALDI-TOF-MS was 93.0%, which was slightly lower than that of culture method (95.8%). As for drug resistance, the results of nucleotide MALDI-TOF-MS exhibited good consistence with culture methods for rifampin, isoniazid, ethambutol, and streptomycin. CONCLUSION Nucleotide MALDI-TOF-MS detection has a good clinical performance for rapid detection of MTB and drug sensitivity to rifampin, isoniazid, ethambutol, and streptomycin directly on respiratory specimens.
Collapse
Affiliation(s)
- Yuyuan Wang
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
| | - Qinghua Xu
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
| | - Bailan Xu
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
| | - Yichuan Lin
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
| | - Xia Yang
- Department of Pulmonary and Critical Care Medicine, The First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
| | - Jingfeng Tong
- Shanghai Conlight Medical Co., Ltd, Shanghai, China.
| | | |
Collapse
|
5
|
Wang L, Campino S, Phelan J, Clark TG. Mixed infections in genotypic drug-resistant Mycobacterium tuberculosis. Sci Rep 2023; 13:17100. [PMID: 37816829 PMCID: PMC10564873 DOI: 10.1038/s41598-023-44341-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 10/06/2023] [Indexed: 10/12/2023] Open
Abstract
Tuberculosis disease (TB), caused by Mycobacterium tuberculosis, is a major global public health problem, resulting in more than 1 million deaths each year. Drug resistance (DR), including multi-drug (MDR-TB), is making TB control difficult and accounts for 16% of new and 48% of previously treated cases. To further complicate treatment decision-making, many clinical studies have reported patients harbouring multiple distinct strains of M. tuberculosis across the main lineages (L1 to L4). The extent to which drug-resistant strains can be deconvoluted within mixed strain infection samples is understudied. Here, we analysed M. tuberculosis isolates with whole genome sequencing data (n = 50,723), which covered the main lineages (L1 9.1%, L2 27.6%, L3 11.8%, L4 48.3%), with genotypic resistance to isoniazid (HR-TB; n = 9546 (29.2%)), rifampicin (RR-TB; n = 7974 (24.4%)), and at least MDR-TB (n = 5385 (16.5%)). TB-Profiler software revealed 531 (1.0%) isolates with potential mixed sub-lineage infections, including some with DR mutations (RR-TB 21/531; HR-TB 59/531; at least MDR-TB 173/531). To assist with the deconvolution of such mixtures, we adopted and evaluated a statistical Gaussian Mixture model (GMM) approach. By simulating 240 artificial mixtures of different ratios from empirical data across L1 to L4, a GMM approach was able to accurately estimate the DR profile of each lineage, with a low error rate for the estimated mixing proportions (mean squared error 0.012) and high accuracy for the DR predictions (93.5%). Application of the GMM model to the clinical mixtures (n = 531), found that 33.3% (188/531) of samples consisted of DR and sensitive lineages, 20.2% (114/531) consisted of lineages with only DR mutations, and 40.6% (229/531) consisted of lineages with genotypic pan-susceptibility. Overall, our work demonstrates the utility of combined whole genome sequencing data and GMM statistical analysis approaches for providing insights into mono and mixed M. tuberculosis infections, thereby potentially assisting diagnosis, treatment decision-making, drug resistance and transmission mapping for infection control.
Collapse
Affiliation(s)
- Linfeng Wang
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK
| | - Susana Campino
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK
| | - Jody Phelan
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK.
| | - Taane G Clark
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK.
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK.
| |
Collapse
|
6
|
He CJ, Wan JL, Luo SF, Guo RJ, Paerhati P, Cheng X, Duan CH, Xu AM. Comparative Study on Tuberculosis Drug Resistance and Molecular Detection Methods Among Different Mycobacterium Tuberculosis Lineages. Infect Drug Resist 2023; 16:5941-5951. [PMID: 37700800 PMCID: PMC10494918 DOI: 10.2147/idr.s423390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/24/2023] [Indexed: 09/14/2023] Open
Abstract
Purpose This study aims to compare drug resistance and detection efficacy across different Mycobacterium tuberculosis lineages, offering insights for precise treatment and molecular diagnosis. Methods 161 strains of Mycobacterium tuberculosis (M.tb) were tested for drug resistance using Phenotypic Drug Susceptibility Testing (pDST), High-Resolution Melting analysis (HRM), and Whole Genome Sequencing (WGS) methods. The main focus was on evaluating the accuracy of different methods for detecting resistance to rifampicin (RIF), isoniazid (INH), and streptomycin (SM). Results Among the 161 strains of M.tb, 83.85% (135/161) were fully sensitive to RIF, INH, and SM according to pDST, and the rate of multidrug resistance was 4.35% (7/161). The drug resistance rates of lineage 2 M.tb to the three drugs (26/219, 11.87%) were significantly higher than those of non-lineage 2 M.tb (12/264, 4.45%) (P<0.05). Compared with pDST, WGS had a sensitivity of 100%, 94.12%, and 92.31% and a specificity of 100%, 99.31%, and 98.65% for RIF, INH, and SM, respectively, with no significant difference. The sensitivity of HRM for RIF, INH, and SM was 87.50%, 52.94%, and 76.92%, respectively, while the specificity was 96.08%, 99.31%, and 99.32%, respectively. The sensitivity of HRM for detecting INH resistance was significantly lower than that of pDST (P=0.039). Compared with HRM, WGS increased the sensitivity of RIF, INH, and SM by 12.50%, 41.18%, and 15.38%, respectively. Conclusion There are significant differences in drug resistance rates among different lineages of M.tb, with lineage 2 having higher rates of RIF, INH, and SM resistance than lineages 3 and 4. The sensitivity of HRM is far lower than that of pDST, and currently, the accuracy of HRM is not sufficient to replace pDST. WGS has no significant difference in detecting drug resistance compared with pDST but can identify new anti-tuberculosis drug-resistant mutations, providing effective guidance for clinical decision-making.
Collapse
Affiliation(s)
- Chuan-Jiang He
- Department of Laboratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, People’s Republic of China
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Jiang-Li Wan
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Sheng-Fang Luo
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Rui-Jie Guo
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Pawuziye Paerhati
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Xiang Cheng
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| | - Chao-Hui Duan
- Department of Laboratory Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, People’s Republic of China
| | - Ai-Min Xu
- Department of Laboratory Medicine, The First People’s Hospital of Kashgar, Kashgar, 844000, People’s Republic of China
| |
Collapse
|
7
|
Zhang S, Chen X, Lin Z, Tan Y, Liang B, Pan Y, Huang M, Su B, Hu X, Xu Y, Li Q. Quantification of Isoniazid-Heteroresistant Mycobacterium tuberculosis Using Droplet Digital PCR. J Clin Microbiol 2023; 61:e0188422. [PMID: 37195177 PMCID: PMC10281145 DOI: 10.1128/jcm.01884-22] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 05/04/2023] [Indexed: 05/18/2023] Open
Abstract
The quantitative detection of drug-resistance mutations in Mycobacterium tuberculosis (MTB) is critical for determining the drug resistance status of a sample. We developed a drop-off droplet digital PCR (ddPCR) assay targeting all major isoniazid (INH)-resistant mutations. The ddPCR assay consisted of three reactions: reaction A detects mutations at katG S315; reaction B detects inhA promoter mutations; and reaction C detects ahpC promoter mutations. All reactions could quantify 1%-50% of mutants in the presence of the wild-type, ranging from 100 to 50,000 copies/reaction. Clinical evaluation with 338 clinical isolates yielded clinical sensitivity of 94.5% (95% confidence interval [CI] = 89.1%-97.3%) and clinical specificity of 97.6% (95% CI = 94.6%-99.0%) compared with the traditional drug susceptibility testing (DST). Further clinical evaluation using 194 nucleic acid-positive MTB sputum samples revealed clinical sensitivity of 87.8% (95% CI = 75.8%-94.3%) and clinical specificity of 96.5% (95% CI = 92.2%-98.5%) in comparison with DST. All the mutant and heteroresistant samples detected by the ddPCR assay but susceptible by DST were confirmed by combined molecular assays, including Sanger sequencing, mutant-enriched Sanger sequencing and a commercial melting curve analysis-based assay. Finally, the ddPCR assay was used to monitor longitudinally the INH-resistance status and the bacterial load in nine patients undergoing treatment. Overall, the developed ddPCR assay could be an indispensable tool for quantification of INH-resistant mutations in MTB and bacterial loads in patients.
Collapse
Affiliation(s)
- Siqi Zhang
- Engineering Research Centre of Molecular Diagnostics of Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Xiamen University, Xiamen, China
| | - Xiaohong Chen
- The Pulmonary Hospital of Fuzhou in Fujian Province, Fuzhou, Fujian, China
| | - Zhonghui Lin
- The Pulmonary Hospital of Fuzhou in Fujian Province, Fuzhou, Fujian, China
| | - Yaoju Tan
- Department of Clinical Laboratory, Guangzhou Chest Hospital, Guangzhou, China
| | - Bin Liang
- Engineering Research Centre of Molecular Diagnostics of Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Xiamen University, Xiamen, China
| | - Yuying Pan
- Engineering Research Centre of Molecular Diagnostics of Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Xiamen University, Xiamen, China
| | - Mingxiang Huang
- The Pulmonary Hospital of Fuzhou in Fujian Province, Fuzhou, Fujian, China
| | - Biyi Su
- Department of Clinical Laboratory, Guangzhou Chest Hospital, Guangzhou, China
| | - Xiaoman Hu
- Engineering Research Centre of Molecular Diagnostics of Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Xiamen University, Xiamen, China
| | - Ye Xu
- Engineering Research Centre of Molecular Diagnostics of Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Xiamen University, Xiamen, China
| | - Qingge Li
- Engineering Research Centre of Molecular Diagnostics of Ministry of Education, State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Life Sciences, Xiamen University, Xiamen, China
| |
Collapse
|
8
|
Hu Y, Chi Y, Feng X, Yu F, Li H, Shang Y, Pan J, Pang Y. Comparison of the Diagnostic Performance of MeltPro and Next-Generation Sequencing in Determining Fluoroquinolone Resistance in Multidrug-Resistant Tuberculosis Isolates. J Mol Diagn 2023; 25:342-351. [PMID: 37208048 DOI: 10.1016/j.jmoldx.2023.02.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 12/20/2022] [Accepted: 02/09/2023] [Indexed: 05/21/2023] Open
Abstract
This study systematically investigated the performance of MeltPro and next-generation sequencing in the diagnosis of fluoroquinolone (FQ) resistance among multidrug-resistant tuberculosis patients and explored the relationship between nucleotide alteration and the level of phenotypic susceptibility to FQs. From March 2019 to June 2020, a feasibility and validation study with both MeltPro and next-generation sequencing was performed in 126 patients with multidrug-resistant tuberculosis. Using phenotypic drug susceptibility testing as the gold standard, 95.3% (82 of 86) of ofloxacin-resistant isolates were identified correctly by MeltPro. In addition, whole-genome sequencing was able to detect 83 phenotypically ofloxacin-resistant isolates. The isolates with an individual gyrB mutation outside the quinolone resistance-determining region (QRDR) had minimum inhibitory concentrations (MICs) of ≤2 μg/mL. Despite showing low MICs close to the breakpoint for isolates carrying only gyrA_Ala90Val, the combined mutation gyrB_Asp461Asn caused the ofloxacin MIC to be eight higher than that obtained in Mycobacterium tuberculosis (MTB) isolates with the Ala90Val mutation alone (median, 32 μg/mL; P = 0.038). Heteroresistance was observed in 12 of 88 isolates harboring mutations in the QRDRs. In conclusion, our data show that MeltPro and the whole-genome sequencing assay correctly can identify FQ resistance caused by mutations in the gyrA QRDR. The combined gyrB_Asp461Asn mutation may significantly decrease in vitro FQ susceptibility of MTB isolates with low-level-resistance-associated gyrA mutations.
Collapse
Affiliation(s)
- Yan Hu
- Tuberculosis Reference Laboratory, Chongqing Municipal Institute of Tuberculosis, Chongqing, China
| | - Yuqing Chi
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Xin Feng
- Tuberculosis Reference Laboratory, Chongqing Municipal Institute of Tuberculosis, Chongqing, China
| | - Fengping Yu
- Tuberculosis Reference Laboratory, Chongqing Municipal Institute of Tuberculosis, Chongqing, China
| | - Haoran Li
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Yuanyuan Shang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Junhua Pan
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
| | - Yu Pang
- Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
| |
Collapse
|
9
|
Domínguez J, Boeree MJ, Cambau E, Chesov D, Conradie F, Cox V, Dheda K, Dudnyk A, Farhat MR, Gagneux S, Grobusch MP, Gröschel MI, Guglielmetti L, Kontsevaya I, Lange B, van Leth F, Lienhardt C, Mandalakas AM, Maurer FP, Merker M, Miotto P, Molina-Moya B, Morel F, Niemann S, Veziris N, Whitelaw A, Horsburgh CR, Lange C. Clinical implications of molecular drug resistance testing for Mycobacterium tuberculosis: a 2023 TBnet/RESIST-TB consensus statement. THE LANCET. INFECTIOUS DISEASES 2023; 23:e122-e137. [PMID: 36868253 PMCID: PMC11460057 DOI: 10.1016/s1473-3099(22)00875-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/16/2022] [Accepted: 12/16/2022] [Indexed: 03/05/2023]
Abstract
Drug-resistant tuberculosis is a substantial health-care concern worldwide. Despite culture-based methods being considered the gold standard for drug susceptibility testing, molecular methods provide rapid information about the Mycobacterium tuberculosis mutations associated with resistance to anti-tuberculosis drugs. This consensus document was developed on the basis of a comprehensive literature search, by the TBnet and RESIST-TB networks, about reporting standards for the clinical use of molecular drug susceptibility testing. Review and the search for evidence included hand-searching journals and searching electronic databases. The panel identified studies that linked mutations in genomic regions of M tuberculosis with treatment outcome data. Implementation of molecular testing for the prediction of drug resistance in M tuberculosis is key. Detection of mutations in clinical isolates has implications for the clinical management of patients with multidrug-resistant or rifampicin-resistant tuberculosis, especially in situations when phenotypic drug susceptibility testing is not available. A multidisciplinary team including clinicians, microbiologists, and laboratory scientists reached a consensus on key questions relevant to molecular prediction of drug susceptibility or resistance to M tuberculosis, and their implications for clinical practice. This consensus document should help clinicians in the management of patients with tuberculosis, providing guidance for the design of treatment regimens and optimising outcomes.
Collapse
Affiliation(s)
- José Domínguez
- Institut d'Investigació Germans Trias i Pujol, Universitat Autònoma de Barcelona, CIBER Enfermedades Respiratorias, INNOVA4TB Consortium, Barcelona, Spain.
| | - Martin J Boeree
- Department of Lung Diseases, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands
| | - Emmanuelle Cambau
- Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France, APHP-Hôpital Bichat, Mycobacteriology Laboratory, INSERM, University Paris Cite, IAME UMR1137, Paris, France
| | - Dumitru Chesov
- Department of Pneumology and Allergology, Nicolae Testemițanu State University of Medicine and Pharmacy, Chisinau, Moldova; Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany
| | - Francesca Conradie
- Department of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Vivian Cox
- Centre for Infectious Disease Epidemiology and Research, School of Public Health and Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Keertan Dheda
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute & South African MRC/UCT Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa; Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK
| | - Andrii Dudnyk
- Department of Tuberculosis, Clinical Immunology and Allergy, National Pirogov Memorial Medical University, Vinnytsia, Ukraine; Public Health Center, Ministry of Health of Ukraine, Kyiv, Ukraine
| | - Maha R Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Sebastien Gagneux
- Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Martin P Grobusch
- Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Amsterdam University Medical Centers, Amsterdam Infection & Immunity, Amsterdam Public Health, University of Amsterdam, Amsterdam, Netherlands
| | - Matthias I Gröschel
- Department of Infectious Diseases and Respiratory Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Lorenzo Guglielmetti
- Sorbonne Université, INSERM, U1135, Centre d'Immunologie et des Maladies Infectieuses, (Cimi-Paris), APHP Sorbonne Université, Department of Bacteriology Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France
| | - Irina Kontsevaya
- Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Berit Lange
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany; German Centre for Infection Research, TI BBD, Braunschweig, Germany
| | - Frank van Leth
- Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Christian Lienhardt
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK; UMI 233 IRD-U1175 INSERM - Université de Montpellier, Institut de Recherche pour le Développement, Montpellier, France
| | - Anna M Mandalakas
- Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Global TB Program, Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Florian P Maurer
- National and Supranational Reference Center for Mycobacteria, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Merker
- Division of Evolution of the Resistome, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany
| | - Paolo Miotto
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Barbara Molina-Moya
- Institut d'Investigació Germans Trias i Pujol, Universitat Autònoma de Barcelona, CIBER Enfermedades Respiratorias, INNOVA4TB Consortium, Barcelona, Spain
| | - Florence Morel
- Sorbonne Université, INSERM, U1135, Centre d'Immunologie et des Maladies Infectieuses, (Cimi-Paris), APHP Sorbonne Université, Department of Bacteriology Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France
| | - Stefan Niemann
- Division of Molecular and Experimental Mycobacteriology, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Department of Human, Biological and Translational Medical Sciences, School of Medicine, University of Namibia, Windhoek, Namibia
| | - Nicolas Veziris
- Sorbonne Université, INSERM, U1135, Centre d'Immunologie et des Maladies Infectieuses, (Cimi-Paris), APHP Sorbonne Université, Department of Bacteriology Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France
| | - Andrew Whitelaw
- Division of Medical Microbiology, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa; National Health Laboratory Service, Tygerberg Hospital, Cape Town, South Africa
| | - Charles R Horsburgh
- Departments of Epidemiology, Biostatistics, Global Health and Medicine, Boston University Schools of Public Health and Medicine, Boston, MA, USA
| | - Christoph Lange
- Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Global TB Program, Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| |
Collapse
|
10
|
MacLean ELH, Miotto P, González Angulo L, Chiacchiaretta M, Walker TM, Casenghi M, Rodrigues C, Rodwell TC, Supply P, André E, Kohli M, Ruhwald M, Cirillo DM, Ismail N, Zignol M. Updating the WHO target product profile for next-generation Mycobacterium tuberculosis drug susceptibility testing at peripheral centres. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0001754. [PMID: 37000774 PMCID: PMC10065236 DOI: 10.1371/journal.pgph.0001754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 03/04/2023] [Indexed: 04/01/2023]
Abstract
There were approximately 10 million tuberculosis (TB) cases in 2020, of which 500,000 were drug-resistant. Only one third of drug-resistant TB cases were diagnosed and enrolled on appropriate treatment, an issue partly driven by a lack of rapid, accurate drug-susceptibility testing (DST) tools deployable in peripheral settings. In 2014, World Health Organization (WHO) published target product profiles (TPPs) which detailed minimal and optimal criteria to address high-priority TB diagnostic needs, including DST. Since then, the TB community's needs have evolved; new treatment regimens, changes in TB definitions, further emergence of drug resistance, technological advances, and changing end-users requirements have necessitated an update. The DST TPP's revision was therefore undertaken by WHO with the Stop TB Partnership New Diagnostics Working Group. We describe the process of updating the TPP for next-generation TB DST for use at peripheral centres, highlight key updates, and discuss guidance regarding technical and operational specifications.
Collapse
Affiliation(s)
- Emily Lai-Ho MacLean
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada
- McGill International TB Centre, Montreal, Canada
| | - Paolo Miotto
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Matteo Chiacchiaretta
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Martina Casenghi
- Department of Innovation and New Technology, Elizabeth Glaser Paediatric AIDS Foundation, Geneva, Switzerland
| | - Camilla Rodrigues
- P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - Timothy C. Rodwell
- FIND, Geneva, Switzerland
- Department of Medicine, University of California, San Diego, La Jolla, California, United States of America
| | - Philip Supply
- Univ. de Lille, CNRS, INSERM, CHU Lille; Institut Pasteur de Lille, U1019-UMR 9017-CIIL (Center for Infection and Immunity of Lille), Lille, France
| | - Emmanuel André
- Laboratory of Clinical Bacteriology and Mycology, Dept of Microbiology and Immunology, KU Leuven, Leuven, Belgium
- Department of Laboratory Medicine, UZ Leuven Hospitals, Leuven, Belgium
| | | | | | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Nazir Ismail
- Global TB Programme, World Health Organization, Geneva, Switzerland
| | - Matteo Zignol
- Global TB Programme, World Health Organization, Geneva, Switzerland
| |
Collapse
|
11
|
Faye LM, Hosu MC, Vasaikar S, Dippenaar A, Oostvogels S, Warren RM, Apalata T. Spatial Distribution of Drug-Resistant Mycobacterium tuberculosis Infections in Rural Eastern Cape Province of South Africa. Pathogens 2023; 12:pathogens12030475. [PMID: 36986397 PMCID: PMC10059723 DOI: 10.3390/pathogens12030475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 03/05/2023] [Accepted: 03/08/2023] [Indexed: 03/30/2023] Open
Abstract
Tuberculosis (TB), an infectious airborne disease caused by Mycobacterium tuberculosis (Mtb), is a serious public health threat reported as the leading cause of morbidity and mortality worldwide. South Africa is a high-TB-burden country with TB being the highest infectious disease killer. This study investigated the distribution of Mtb mutations and spoligotypes in rural Eastern Cape Province. The Mtb isolates included were 1157 from DR-TB patients and analysed by LPA followed by spoligotyping of 441 isolates. The distribution of mutations and spoligotypes was done by spatial analysis. The rpoB gene had the highest number of mutations. The distribution of rpoB and katG mutations was more prevalent in four healthcare facilities, inhA mutations were more prevalent in three healthcare facilities, and heteroresistant isolates were more prevalent in five healthcare facilities. The Mtb was genetically diverse with Beijing more prevalent and largely distributed. Spatial analysis and mapping of gene mutations and spoligotypes revealed a better picture of distribution.
Collapse
Affiliation(s)
- Lindiwe M Faye
- Department of Laboratory Medicine and Pathology, Walter Sisulu University and National Health Laboratory Services (NHLS), Private Bag X5117, Mthatha 5099, South Africa
| | - Mojisola C Hosu
- Department of Laboratory Medicine and Pathology, Walter Sisulu University and National Health Laboratory Services (NHLS), Private Bag X5117, Mthatha 5099, South Africa
| | - Sandeep Vasaikar
- Department of Laboratory Medicine and Pathology, Walter Sisulu University and National Health Laboratory Services (NHLS), Private Bag X5117, Mthatha 5099, South Africa
| | - Anzaan Dippenaar
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, BE-2000 Antwerp, Belgium
| | - Selien Oostvogels
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, BE-2000 Antwerp, Belgium
| | - Rob M Warren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa
| | - Teke Apalata
- Department of Laboratory Medicine and Pathology, Walter Sisulu University and National Health Laboratory Services (NHLS), Private Bag X5117, Mthatha 5099, South Africa
| |
Collapse
|
12
|
Yan M, Zhao Z, Wu T, Liu T, Xu G, Xu H, Ying B. Highly Sensitive Detection of Complicated Mutations of Drug Resistance in Mycobacterium tuberculosis Using a Simple, Accurate, Rapid, and Low-Cost Tailored-Design Competitive Wild-Type Blocking Assay. SMALL METHODS 2023; 7:e2201322. [PMID: 36683186 DOI: 10.1002/smtd.202201322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/12/2022] [Indexed: 06/17/2023]
Abstract
Establishing simple, rapid, and highly sensitive molecular assays is crucial for timely diagnosis and effective treatment of drug-resistant tuberculosis. However, current genotypic drug susceptibility testing (DST) still encounters enormous challenges including lower sensitivity than phenotypic DST and insufficient accuracy. Herein, a simple, low-cost, multiplex real-time polymerase chain reaction-based assay is established to achieve highly sensitive detection of low-abundant mutants through competitive wild-type blocking (COWTB). Analytical performance of the COWTB assay can achieve 1% or even 0.1% mutants under background of 10 000 wild-type genomes/test. Furthermore, clinical practice feasibility is evaluated to identify resistance to rifampicin (RIF), isoniazid (INH), and streptomycin (SM) on 92 actual clinical samples, its sensitivity is 93.8% for RIF and 100% for INH and SM, and specificity is 100% each for RIF, INH, and SM when using DNA sequencing as the reference standard. In comparison, the sensitivity of reverse dot blotting assay commonly used in clinics is 93.8%, 90.0%, and 84.6%, and the specificity is 96.1%, 98.6%, and 100% for RIF, INH, and SM, respectively. Importantly, the COWTB assay can also be applicable for other drug-resistant mutations and pave a promising detection strategy to fill the gap between phenotypic and genotypic DST for detecting low-abundant drug-resistant M. tuberculosis.
Collapse
Affiliation(s)
- Mengqiu Yan
- School of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Zhenzhen Zhao
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China
| | - Tao Wu
- Department of Clinical Laboratory Medicine, People's Hospital of Ningxia Hui Autonomous Region (First Affiliated Hospital of Northwest Minzu University), Yinchuan, 750002, P. R. China
| | - Tangyuheng Liu
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China
| | - Gaolian Xu
- School of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Hong Xu
- School of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Binwu Ying
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China
| |
Collapse
|
13
|
Desikan P, Panwalkar N, Punde RP, Khan Z, Pauranik A, Mirza SB, Chourey M, Anand S, Sachdeva K. Heteroresistance to rifampicin & isoniazid in clinical samples of patients with presumptive drug-resistant tuberculosis in Central India. Indian J Med Res 2023; 157:174-182. [PMID: 37202936 PMCID: PMC10319389 DOI: 10.4103/ijmr.ijmr_607_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Indexed: 04/28/2023] Open
Abstract
Background & objectives A combination of resistant and susceptible Mycobacterium tuberculosis (MTB) isolated from clinical specimens is referred to as heteroresistance. Heteroresistance leads to difficulties in drug resistance testing and may adversely affect treatment outcomes. The present study estimated the proportion of heteroresistance among MTB in clinical samples of presumptive drug-resistant tuberculosis (TB) patients in Central India. Methods A retrospective analysis of data generated from line probe assay (LPA) at a tertiary care hospital in Central India between January 2013 and December 2018 was carried out. A heteroresistant MTB in a sample was indicated by the presence of both wild-type and mutant-type patterns on an LPA strip. Results Data analysis was carried out on interpretable 11,788 LPA results. Heteroresistance in MTB was detected in 637 (5.4%) samples. Of these, heteroresistance in MTB was detected in 413 (64.8%), 163 (25.5%) and 61 (9.5%) samples with respect to rpoB, katG and inhA genes, respectively. Interpretation & conclusions Heteroresistance is considered a preliminary step in the development of drug resistance. Delayed or suboptimal anti-tubercular therapy in patients with heteroresistance of MTB may elicit full clinical resistance and negatively impact the National TB Elimination Programme. Further studies are, however, needed to determine the impact of heteroresistance on treatment outcomes in individual patients.
Collapse
Affiliation(s)
- Prabha Desikan
- ICMR-Bhopal Memorial Hospital & Research Centre, Bhopal, Madhya Pradesh, India
| | | | | | - Zeba Khan
- Department of Microbiology, Bhopal, Madhya Pradesh, India
| | - Ankur Pauranik
- Department of Microbiology, Bhopal, Madhya Pradesh, India
| | | | - Manju Chourey
- Department of Microbiology, Bhopal, Madhya Pradesh, India
| | - Sridhar Anand
- World Health Organization, Ministry of Health & Family Welfare, New Delhi, India
| | - K.S. Sachdeva
- Central TB Division, Ministry of Health & Family Welfare, New Delhi, India
| |
Collapse
|
14
|
Wu SH, Xiao YX, Hsiao HC, Jou R. Development and Assessment of a Novel Whole-Gene-Based Targeted Next-Generation Sequencing Assay for Detecting the Susceptibility of Mycobacterium tuberculosis to 14 Drugs. Microbiol Spectr 2022; 10:e0260522. [PMID: 36255328 PMCID: PMC9769975 DOI: 10.1128/spectrum.02605-22] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 09/23/2022] [Indexed: 01/07/2023] Open
Abstract
Targeted next-generation sequencing (tNGS) has emerged as an alternative method for detecting drug-resistant tuberculosis (DR-TB). To provide comprehensive drug susceptibility information and to address mutations missed by available commercial molecular diagnostics, we developed and evaluated a tNGS panel with 22 whole-gene targets using the Ion Torrent platform to predict drug resistance to 14 drugs, namely, rifampicin (RIF), isoniazid (INH), ethambutol (EMB), pyrazinamide (PZA), moxifloxacin (MFX), levofloxacin (LFX), amikacin (AMK), capreomycin (CM), kanamycin (KM), streptomycin (SM), bedaquiline (BDQ), clofazimine (CFZ), linezolid (LZD), and delamanid (DLM). We selected 50 and 35 Mycobacterium tuberculosis isolates with various DR profiles as the training set and the challenge set, respectively. Comparative variant analyses of the DR genes were performed using Sanger sequencing and whole-genome sequencing (WGS). Phenotypic drug susceptibility testing (pDST) results were used as gold standards. Regarding the limit of detection, the tNGS assay detected 2.9 to 3.8% minority variants in 4% mutant mixtures. The sensitivity and specificity of tNGS were 97.0% (95% confidence interval [CI] = 93.1 to 98.7%) and 99.1% (95% CI = 97.7 to 99.7%), respectively. The concordance of tNGS with pDST was 98.5% (95% CI = 97.2 to 99.2%), which was comparable to that of WGS (98.7%, 95% CI = 97.4 to 99.3%) and better than that of Sanger sequencing (96.9%, 95% CI = 95.3 to 98.0%). The agreement between tNGS and pDST was almost perfect for RIF, INH, EMB, MFX, LFX, AMK, CM, KM, SM, BDQ, and LZD (kappa value = 0.807 to 1.000) and substantial for PZA (kappa value = 0.791). Our customized novel whole-gene-based tNGS panel is highly consistent with pDST and WGS for comprehensive and accurate prediction of drug resistance in a strengthened and streamlined DR-TB laboratory program. IMPORTANCE We developed and validated a tNGS assay that was the first to target 22 whole genes instead of regions of drug resistance genes and comprehensively detected susceptibility to 14 anti-TB drugs, with great flexibility to include new or repurposed drugs. Notably, we demonstrated that our custom-designed Ion AmpliSeq TB research panel platform had high concordance with pDST and could significantly reduce turnaround time (by approximately 70%) to meet a clinically actionable time frame. Our tNGS assay is a promising DST solution for providing needed clinical information for precision medicine-guided therapies for DR-TB and allows the rollout of active pharmacovigilance.
Collapse
Affiliation(s)
- Sheng-Han Wu
- Tuberculosis Research Center, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
- Reference Laboratory of Mycobacteriology, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
| | - Yu-Xin Xiao
- Tuberculosis Research Center, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
- Reference Laboratory of Mycobacteriology, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
| | - Hseuh-Chien Hsiao
- Tuberculosis Research Center, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
- Reference Laboratory of Mycobacteriology, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
| | - Ruwen Jou
- Tuberculosis Research Center, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
- Reference Laboratory of Mycobacteriology, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan
| |
Collapse
|
15
|
Nimmo C, Millard J, Faulkner V, Monteserin J, Pugh H, Johnson EO. Evolution of Mycobacterium tuberculosis drug resistance in the genomic era. Front Cell Infect Microbiol 2022; 12:954074. [PMID: 36275027 PMCID: PMC9585206 DOI: 10.3389/fcimb.2022.954074] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 09/20/2022] [Indexed: 12/02/2022] Open
Abstract
Mycobacterium tuberculosis has acquired drug resistance to all drugs that have been used against it, including those only recently introduced into clinical practice. Compared to other bacteria, it has a well conserved genome due to its role as an obligate human pathogen that has adapted to a niche over five to ten thousand years. These features facilitate reconstruction and dating of M. tuberculosis phylogenies, giving key insights into how resistance has been acquired and spread globally. Resistance to each new drug has occurred within five to ten years of clinical use and has occurred even more rapidly with recently introduced drugs. In most cases, resistance-conferring mutations come with a fitness cost, but this can be overcome by compensatory mutations which restore fitness to that of wild-type bacteria. It is likely that M. tuberculosis acquires drug resistance while maintaining limited genomic variability due the generation of low frequency within-host variation, combined with ongoing purifying selection causing loss of variants without a clear fitness advantage. However, variants that do confer an advantage, such as drug resistance, can increase in prevalence amongst all bacteria within a host and become the dominant clone. These resistant strains can then be transmitted leading to primary drug resistant infection in a new host. As many countries move towards genomic methods for diagnosis of M. tuberculosis infection and drug resistance, it is important to be aware of the implications for the evolution of resistance. Currently, understanding of resistance-conferring mutations is incomplete, and some targeted genetic diagnostics create their own selective pressures. We discuss an example where a rifampicin resistance-conferring mutation which was not routinely covered by standard testing became dominant. Finally, resistance to new drugs such as bedaquiline and delamanid is caused by individually rare mutations occurring across a large mutational genomic target that have been detected over a short time, and do not provide statistical power for genotype-phenotype correlation – in contrast to longer-established drugs that form the backbone of drug-sensitive antituberculosis therapy. Therefore, we need a different approach to identify resistance-conferring mutations of new drugs before their resistance becomes widespread, abrogating their usefulness.
Collapse
Affiliation(s)
- Camus Nimmo
- Systems Chemical Biology of Infection and Resistance Laboratory, Francis Crick Institute, London, United Kingdom
- *Correspondence: Camus Nimmo,
| | - James Millard
- Institute of Infection and Global Health, University of Liverpool, Liverpool, United Kingdom
| | - Valwynne Faulkner
- Systems Chemical Biology of Infection and Resistance Laboratory, Francis Crick Institute, London, United Kingdom
| | - Johana Monteserin
- Systems Chemical Biology of Infection and Resistance Laboratory, Francis Crick Institute, London, United Kingdom
| | - Hannah Pugh
- Systems Chemical Biology of Infection and Resistance Laboratory, Francis Crick Institute, London, United Kingdom
| | - Eachan Oliver Johnson
- Systems Chemical Biology of Infection and Resistance Laboratory, Francis Crick Institute, London, United Kingdom
| |
Collapse
|
16
|
Jouego CG, Gils T, Piubello A, Mbassa V, Kuate A, Ngono A, Belinga E, Etoundi A, Tollo A, Makondi D, André E, Masumbe P, Lynen L, Noeske J, Decroo T. Programmatic management of rifampicin-resistant tuberculosis with standard regimen in Cameroon: a retrospective cohort study. Int J Infect Dis 2022; 124:81-88. [PMID: 36108960 DOI: 10.1016/j.ijid.2022.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 08/19/2022] [Accepted: 09/09/2022] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES To describe treatment outcomes for rifampicin-resistant tuberculosis (Rr-TB) started on standard regimen and the frequency of acquired drug resistance in patients treated using the standard treatment regimen (STR) in Cameroon between 2015-2019. METHODS This is a retrospective cohort study. Rr-TB patients were initiated on the STR, including a fluoroquinolone (FQ), a second-line injectable drug (SLI), and companion drugs. In case of resistance to fluoroquinolones (FQr) at baseline, FQ, SLI and ethionamide were replaced by bedaquiline, delamanid, and linezolid in a modified treatment regimen (mTR), FQr-mTR. In case of resistance to SLI (SLIr) at baseline, SLI was replaced by linezolid (LZD), SLIr-mTR. Logistic regression and competing risk regression were used to estimate predictors of early (first eight weeks) mortality and overall mortality, respectively. RESULTS Of 709 patients started on a standard regimen, treatment success occurred in 84.7% (587/693), 72.7% (8/11) and 100% (10/10) of patients treated with STR, FQr-mTR and SLIr-mTR as final regimens, respectively. Three (0.6%) patients acquired FQr during treatment. Early mortality occurred in 4.1% (29/709) and was associated with being HIV positive, male sex and being underweight. Overall mortality was associated with missing drug-susceptibility testing results at baseline, being HIV positive, age>40 and male sex. CONCLUSION Programmatic management of Rr-TB, with additional second-line drug resistance treated with mTR, resulted in excellent treatment outcomes.
Collapse
Affiliation(s)
- Christelle Géneviève Jouego
- Cameroon National Tuberculosis Program (NTP), Mballa 2, BP 15 656 Yaoundé-Cameroun; Institute of Tropical Medicine, Department of Clinical Sciences, Unit of HIV and Tuberculosis, Nationalestraat 155, 2000 Antwerp, Belgium; University of Yaoundé 1, Biotechnology centre, Molecular Diagnostic and Research Group, 11864 Yaoundé, Cameroon; Catholic University of Leuven, Laboratory of Clinical Microbiology, Department of Microbiology, Immunology and Transplantation, UZ Herestraat 49, 3000 Leuven, Belgium.
| | - Tinne Gils
- Institute of Tropical Medicine, Department of Clinical Sciences, Unit of HIV and Tuberculosis, Nationalestraat 155, 2000 Antwerp, Belgium.
| | - Alberto Piubello
- Damien Foundation, Boulevard Leopold II 263, 1081 Koekelberg, Brussels, Belgium
| | - Vincent Mbassa
- Cameroon National Tuberculosis Program (NTP), Mballa 2, BP 15 656 Yaoundé-Cameroun
| | - Albert Kuate
- Cameroon National Tuberculosis Program (NTP), Mballa 2, BP 15 656 Yaoundé-Cameroun
| | - Annie Ngono
- Cameroon National Tuberculosis Program (NTP), Mballa 2, BP 15 656 Yaoundé-Cameroun.
| | - Edwige Belinga
- Cameroon National Tuberculosis Program (NTP), Mballa 2, BP 15 656 Yaoundé-Cameroun.
| | - Antoine Etoundi
- Cameroon National Tuberculosis Program (NTP), Mballa 2, BP 15 656 Yaoundé-Cameroun.
| | - Alphonse Tollo
- Cameroon National Tuberculosis Program (NTP), Mballa 2, BP 15 656 Yaoundé-Cameroun.
| | - Danielle Makondi
- Cameroon National Tuberculosis Program (NTP), Mballa 2, BP 15 656 Yaoundé-Cameroun.
| | - Emmanuel André
- Catholic University of Leuven, Laboratory of Clinical Microbiology, Department of Microbiology, Immunology and Transplantation, UZ Herestraat 49, 3000 Leuven, Belgium.
| | - Palmer Masumbe
- University of Yaoundé 1, Biotechnology centre, Molecular Diagnostic and Research Group, 11864 Yaoundé, Cameroon.
| | - Lutgarde Lynen
- Institute of Tropical Medicine, Department of Clinical Sciences, Unit of HIV and Tuberculosis, Nationalestraat 155, 2000 Antwerp, Belgium.
| | | | - Tom Decroo
- Institute of Tropical Medicine, Department of Clinical Sciences, Unit of HIV and Tuberculosis, Nationalestraat 155, 2000 Antwerp, Belgium; Research Foundation Flanders, Egmontstraat 5, 1000 Brussels, Belgium.
| |
Collapse
|
17
|
Wang Z, Sun R, Mu C, Wang C, Zhao H, Jiang L, Ju H, Dai W, Zhang F. Characterization of Fluoroquinolone-Resistant and Multidrug-Resistant Mycobacterium tuberculosis Isolates Using Whole-Genome Sequencing in Tianjin, China. Infect Drug Resist 2022; 15:1793-1803. [PMID: 35444430 PMCID: PMC9013706 DOI: 10.2147/idr.s361635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 04/02/2022] [Indexed: 11/23/2022] Open
Abstract
Objective Methods Results Conclusion
Collapse
Affiliation(s)
- Zhirui Wang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Rui Sun
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Cheng Mu
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Chunhua Wang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Hui Zhao
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Lina Jiang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Hanfang Ju
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Wenxi Dai
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
| | - Fan Zhang
- Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, Tianjin, People’s Republic of China
- Correspondence: Fan Zhang, Tuberculosis Reference Laboratory, Tianjin Center for Tuberculosis Control, No. 124, Chifeng Road, Heping District, Tianjin, 300041, People’s Republic of China, Tel +86-22-27124491, Fax +86-22-27117595, Email
| |
Collapse
|
18
|
Detection of Mixed Populations of Clarithromycin-Susceptible and -Resistant Mycobacterium abscessus Strains. J Clin Microbiol 2022; 60:e0169421. [PMID: 35313731 DOI: 10.1128/jcm.01694-21] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Clarithromycin resistance in Mycobacterium abscessus subsp. abscessus, massiliense, and bolletii occurs through induction of erm(41) or mutations in rrl (23S rRNA) genes. Phenotypic detection of clarithromycin resistance is hindered by the need for extended incubation as well as co-occurrence of mixed populations of M. abscessus with different susceptibility profiles. We developed a quantitative EvaGreen-based droplet digital PCR (ddPCR) scheme for rapid detection of full-length or truncated erm(41) and a probe based ddPCR screening assay for assessment of 23S rRNA rrl mutational resistance. We tested 100 M. abscessus strains, synthetic mixes with different susceptibility profiles, and 13 positive MGIT samples. Truncated and full-length erm(41) genes were detected in 27/100 and 73/100 strains and 4/13 and 9/13 MGIT samples, respectively yielding a sensitivity and specificity of 100%. Clarithromycin resistance mutations in rrl were detected in 26/100 isolates, i.e., A2058G (18/100), A2058C (7/100), and A2059G (1/100), and in 3/13 MGIT samples, i.e., A2058G (2/13) and A2059G (1/13). A screening assay of rrl ddPCR (A2058A/A2058G probes) showed 100% sensitivity in detecting the wild type or A2058G mutation as well as identifying samples requiring further testing. Upon inclusion of additional ddPCR assays, we were able to detect A2058C and A2059G clarithromycin resistance-conferring mutations in the rrl gene. Our ddPCR scheme can differentiate between full-length and truncated erm(41) and identify clarithromycin resistance-conferring mutations in the rrl gene from clinical isolates and positive MGIT samples as well as deconvolute and quantitate mixed populations of M. abscessus with different clarithromycin resistance traits.
Collapse
|
19
|
Fan Y, Chen J, Liu M, Xu X, Zhang Y, Yue P, Cao W, Ji Z, Su X, Wen S, Kong J, Zhou G, Li B, Dong Y, Liu A, Bao F. Application of Droplet Digital PCR to Detection of Mycobacterium tuberculosis and Mycobacterium leprae Infections: A Narrative Review. Infect Drug Resist 2022; 15:1067-1076. [PMID: 35313727 PMCID: PMC8934166 DOI: 10.2147/idr.s349607] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 01/25/2022] [Indexed: 12/15/2022] Open
Abstract
Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis (MTB) infection, which has seriously endangered human health for many years. With the emergence of multidrug-resistant and extensively drug-resistant MTB, the prevention and treatment of TB has become a pressing need. Early diagnosis, drug resistance monitoring, and control of disease transmission are critical aspects in the prevention and treatment of TB. However, the currently available diagnostic technologies and drug sensitivity tests are time consuming, and thus, it is difficult to achieve the goal of early diagnosis and detection drug sensitivity, which results in limited control of disease transmission. The development of molecular testing technology has gradually achieved the vision of rapid and accurate diagnosis of TB. Droplet digital PCR (ddPCR) is an excellent nucleic acid quantification method with high sensitivity and no need for a calibration curve. Herein, we review the application of ddPCR in TB diagnosis and drug resistance detection and transmission monitoring.
Collapse
Affiliation(s)
- Yuxin Fan
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, The Affiliated Children Hospital, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Jingjing Chen
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Biochemistry and Molecular Biology, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Meixiao Liu
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Xin Xu
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Yu Zhang
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, The Affiliated Children Hospital, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Peng Yue
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Biochemistry and Molecular Biology, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Wenjing Cao
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Biochemistry and Molecular Biology, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Zhenhua Ji
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Xuan Su
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Shiyuan Wen
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, The Affiliated Children Hospital, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Jing Kong
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Guozhong Zhou
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Bingxue Li
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Yan Dong
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
| | - Aihua Liu
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, The Affiliated Children Hospital, Kunming Medical University, Kunming, 650030, People’s Republic of China
- Department of Biochemistry and Molecular Biology, Kunming Medical University, Kunming, 650030, People’s Republic of China
- Correspondence: Aihua Liu; Fukai Bao, The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China, Email ;
| | - Fukai Bao
- The Institute for Tropical Medicine, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, 650500, People’s Republic of China
- Department of Microbiology and Immunology, Kunming Medical University, Kunming, 650030, People’s Republic of China
- Yunnan Province Key Laboratory of Children’s Major Diseases Research, The Affiliated Children Hospital, Kunming Medical University, Kunming, 650030, People’s Republic of China
| |
Collapse
|
20
|
Mallick JS, Nair P, Abbew ET, Van Deun A, Decroo T. OUP accepted manuscript. JAC Antimicrob Resist 2022; 4:dlac029. [PMID: 35356403 PMCID: PMC8963286 DOI: 10.1093/jacamr/dlac029] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 02/27/2022] [Indexed: 12/02/2022] Open
Abstract
Background Drug-resistant tuberculosis (DR-TB) is considered to be a public health threat and is difficult to cure, requiring a lengthy treatment with potent, potentially toxic drugs. The novel antimicrobial agent bedaquiline has shown promising results for patients with DR-TB, improving the rate of culture conversion and reducing TB-related mortality. However, increasing numbers of cases with acquired bedaquiline resistance (ABR) have been reported in recent years. Methods This systematic review aimed to assess the frequency of ABR and characteristics of patients acquiring it. Studies showing data on sequential bedaquiline drug-susceptibility testing in patients treated with a bedaquiline-containing regimen were included. The databases CENTRAL, PubMed and Embase were manually searched, and 866 unique records identified, eventually leading to the inclusion of 13 studies. Phenotypic ABR was assessed based on predefined MIC thresholds and genotypic ABR based on the emergence of resistance-associated variants. Results The median (IQR) frequency of phenotypic ABR was 2.2% (1.1%–4.6%) and 4.4% (1.8%–5.8%) for genotypic ABR. Among the studies reporting individual data of patients with ABR, the median number of likely effective drugs in a treatment regimen was five, in accordance with WHO recommendations. In regard to the utilization of important companion drugs with high and early bactericidal activity, linezolid was included in the regimen of most ABR patients, whereas the usage of other group A (fluoroquinolones) and former group B drugs (second-line injectable drugs) was rare. Conclusions Our findings suggest a relevant frequency of ABR, urging for a better protection against it. Therefore, treatment regimens should include drugs with high resistance-preventing capacity through high and early bactericidal activity.
Collapse
Affiliation(s)
- Jahan Saeed Mallick
- Institute of Tropical Medicine Antwerp, Department of Clinical Sciences, Kronenburgstraat 43, 2000 Antwerpen, Belgium
- Corresponding author. E-mail:
| | - Parvati Nair
- Institute of Tropical Medicine Antwerp, Department of Clinical Sciences, Kronenburgstraat 43, 2000 Antwerpen, Belgium
| | - Elizabeth Tabitha Abbew
- Institute of Tropical Medicine Antwerp, Department of Clinical Sciences, Kronenburgstraat 43, 2000 Antwerpen, Belgium
- Cape Coast Teaching Hospital, Interberton Road, Cape Coast, Ghana
| | | | - Tom Decroo
- Institute of Tropical Medicine Antwerp, Department of Clinical Sciences, Kronenburgstraat 43, 2000 Antwerpen, Belgium
| |
Collapse
|
21
|
Mariner-Llicer C, Goig GA, Zaragoza-Infante L, Torres-Puente M, Villamayor L, Navarro D, Borras R, Chiner-Oms Á, Comas I. Accuracy of an amplicon-sequencing nanopore approach to identify variants in tuberculosis drug-resistance-associated genes. Microb Genom 2021; 7:000740. [PMID: 34919513 PMCID: PMC8767343 DOI: 10.1099/mgen.0.000740] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
A rapid and accurate diagnostic assay represents an important means to detect Mycobacterium tuberculosis, identify drug-resistant strains and ensure treatment success. Currently employed techniques to diagnose drug-resistant tuberculosis include slow phenotypic tests or more rapid molecular assays that evaluate a limited range of drugs. Whole-genome-sequencing-based approaches can detect known drug-resistance-conferring mutations and novel variations; however, the dependence on growing samples in culture, and the associated delays in achieving results, represents a significant limitation. As an alternative, targeted sequencing strategies can be directly performed on clinical samples at high throughput. This study proposes a targeted sequencing assay to rapidly detect drug-resistant strains of M. tuberculosis using the Nanopore MinION sequencing platform. We designed a single-tube assay that targets nine genes associated with drug resistance to seven drugs and two phylogenetic-determining regions to determine strain lineage and tested it in nine clinical isolates and six sputa. The study's main aim is to calibrate MinNION variant calling to detect drug-resistance-associated mutations with different frequencies to match the accuracy of Illumina (the current gold-standard sequencing technology) from both culture and sputum samples. After calibrating Nanopore MinION variant calling, we demonstrated 100% agreement between Illumina WGS and our MinION set up to detect known drug resistance and phylogenetic variants in our dataset. Importantly, other variants in the amplicons are also detected, decreasing the recall. We identify minority variants and insertions/deletions as crucial bioinformatics challenges to fully reproduce Illumina WGS results.
Collapse
Affiliation(s)
| | - Galo A. Goig
- Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Basel, Switzerland,University of Basel, Basel, Switzerland
| | - Laura Zaragoza-Infante
- Institute of Applied Biosciences Centre for Research and Technology Hellas, Thessaloniki, Greece
| | | | | | - David Navarro
- Hospital Clínico Universitario de València, València, Spain,Department of Microbiology and Ecology, School of Medicine, University of València, València, Spain
| | - Rafael Borras
- Hospital Clínico Universitario de València, València, Spain,Department of Microbiology and Ecology, School of Medicine, University of València, València, Spain
| | | | - Iñaki Comas
- Instituto de Biomedicina de València (CSIC), València, Spain,CIBER in Epidemiology and Public Health, València, Spain,*Correspondence: Iñaki Comas,
| |
Collapse
|
22
|
Ye M, Yuan W, Molaeipour L, Azizian K, Ahmadi A, Kouhsari E. Antibiotic heteroresistance in Mycobacterium tuberculosis isolates: a systematic review and meta-analysis. Ann Clin Microbiol Antimicrob 2021; 20:73. [PMID: 34645463 PMCID: PMC8513340 DOI: 10.1186/s12941-021-00478-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Accepted: 10/05/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Mycobacterium tuberculosis (MTB) is responsible for tuberculosis; that continues to be a public health threat across the globe. Furthermore, increasing heteroresistance (HR)-the presence of resistant and susceptible isolates among MTB strains- has been reported from around the world. This phenomenon can lead to full resistance development and treatment failure. METHODS We systematically searched the relevant studies in PubMed, Scopus, and Embase (Until October 21, 2020). The study outcomes revealed the weighted pooled prevalence of antibiotic HR in MTB isolates with subgroup analysis by year, quality of study, and heteroresistance detection method. RESULTS A total of 38 studies which had investigated MTB isolates were included in the meta-analysis. Geographically, the highest number of studies were reported from Asia (n = 24), followed by Africa (n = 5). Nineteen studies reported HR to isoniazid, with a weighted pooled prevalence of 5% (95% CI 0-12) among 11,761 MTB isolates. Also, there is no important trend for the subgroup analysis by the study period (2001-2014 vs 2015-2017 vs 2018-2020). HR to rifampin was reported in 17 studies, with a weighted pooled prevalence of 7% (95% CI 2-14) among 3782 MTB isolates. HR to fluoroquinolone and ethambutol were reported in 12 and 4 studies, respectively, with weighted pooled prevalence of 10% and 1% among 2153 and 1509 MTB isolates, correspondingly. CONCLUSION Based on our analysis, HR in MTB isolates with different frequency rate is present worldwide. Thus, the selection of appropriate and reliable methods for HR detection is crucial for TB eradication.
Collapse
Affiliation(s)
- Mao Ye
- Department of Pharmacy, Clinical Pharmaceutics Room, Sichuan Science City Hospital, Mianyang, 621000, China
| | - Wen Yuan
- Sichuan College of Traditional Chinese Medicine, Mianyang, 621000, China
| | - Leila Molaeipour
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Khalil Azizian
- Department of Clinical Microbiology, Sirjan School of Medical Sciences, P.O. Box 78169-16338, Sirjan, Iran.
| | - Alireza Ahmadi
- Laboratory Sciences Research Center, Golestan University of Medical Sciences, Gorgan, Iran
- Department of Laboratory Sciences, Faculty of Paramedicine, Golestan University of Medical Sciences, Gorgan, Iran
| | - Ebrahim Kouhsari
- Laboratory Sciences Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
- Department of Laboratory Sciences, Faculty of Paramedicine, Golestan University of Medical Sciences, Gorgan, Iran.
- Laboratory Sciences Research Center, Faculty of Paramedical Sciences, Golestan University of Medical Sciences, Negative Floor 1, Gorgan-Sari Road, P.O. Box: 4918936316, Gorgan, Golestan Province, Iran.
| |
Collapse
|
23
|
Castro RAD, Borrell S, Gagneux S. The within-host evolution of antimicrobial resistance in Mycobacterium tuberculosis. FEMS Microbiol Rev 2021; 45:fuaa071. [PMID: 33320947 PMCID: PMC8371278 DOI: 10.1093/femsre/fuaa071] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 12/11/2020] [Indexed: 12/12/2022] Open
Abstract
Tuberculosis (TB) has been responsible for the greatest number of human deaths due to an infectious disease in general, and due to antimicrobial resistance (AMR) in particular. The etiological agents of human TB are a closely-related group of human-adapted bacteria that belong to the Mycobacterium tuberculosis complex (MTBC). Understanding how MTBC populations evolve within-host may allow for improved TB treatment and control strategies. In this review, we highlight recent works that have shed light on how AMR evolves in MTBC populations within individual patients. We discuss the role of heteroresistance in AMR evolution, and review the bacterial, patient and environmental factors that likely modulate the magnitude of heteroresistance within-host. We further highlight recent works on the dynamics of MTBC genetic diversity within-host, and discuss how spatial substructures in patients' lungs, spatiotemporal heterogeneity in antimicrobial concentrations and phenotypic drug tolerance likely modulates the dynamics of MTBC genetic diversity in patients during treatment. We note the general characteristics that are shared between how the MTBC and other bacterial pathogens evolve in humans, and highlight the characteristics unique to the MTBC.
Collapse
Affiliation(s)
- Rhastin A D Castro
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Basel, Switzerland
- University of Basel, Petersplatz 1, 4001 Basel, Basel, Switzerland
| | - Sonia Borrell
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Basel, Switzerland
- University of Basel, Petersplatz 1, 4001 Basel, Basel, Switzerland
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Basel, Switzerland
- University of Basel, Petersplatz 1, 4001 Basel, Basel, Switzerland
| |
Collapse
|
24
|
Detection of Pyrazinamide Heteroresistance in Mycobacterium tuberculosis. Antimicrob Agents Chemother 2021; 65:e0072021. [PMID: 34181476 PMCID: PMC8370246 DOI: 10.1128/aac.00720-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Heteroresistance is defined as the coexistence of both susceptible and resistant bacteria in a bacterial population. Previously published data show that it may occur in 9 to 57% of Mycobacterium tuberculosis isolates for various drugs. Pyrazinamide (PZA) is an important first-line drug used for treatment of both drug-susceptible and PZA-susceptible multidrug-resistant TB. Clinical PZA resistance is defined as a proportion of resistant bacteria in the isolate exceeding 10%, when the drug is no longer considered clinically effective. The ability of traditional drug susceptibility testing techniques to detect PZA heteroresistance has not yet been evaluated. The aim of this study was to compare the capacity of Bactec MGIT 960, Wayne's test, and whole-genome sequencing (WGS) to detect PZA-resistant subpopulations in bacterial suspensions prepared with different proportions of mutant strains. Both Bactec MGIT 960 and WGS were able to detect the critical level of 10% PZA heteroresistance, whereas Wayne's test failed to do so, with the latter falsely reporting highly resistant samples as PZA susceptible. Failure to detect drug-resistant subpopulations may lead to inadvertently weak treatment regimens if ineffective drugs are included, with the risk of treatment failure with the selective growth of resistant subpopulations. We need clinical awareness of heteroresistance as well as evaluation of new diagnostic tools for their capacity to detect heteroresistance in TB.
Collapse
|
25
|
Chaiyachat P, Chaiprasert A, Nonghanphithak D, Smithtikarn S, Kamolwat P, Pungrassami P, Reechaipichitkul W, Ong RTH, Teo YY, Faksri K. Whole-genome analysis of drug-resistant Mycobacterium tuberculosis reveals novel mutations associated with fluoroquinolone resistance. Int J Antimicrob Agents 2021; 58:106385. [PMID: 34161790 DOI: 10.1016/j.ijantimicag.2021.106385] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 04/19/2021] [Accepted: 06/05/2021] [Indexed: 12/13/2022]
Abstract
Multidrug-resistant and extensively drug-resistant tuberculosis (M/XDR-TB) remains a global public-health challenge. Known mutations in quinolone resistance-determination regions cannot fully explain phenotypic fluoroquinolone (FQ) resistance in Mycobacterium tuberculosis (Mtb). The aim of this study was to look for novel mutations in Mtb associated with resistance to FQ drugs using whole-genome sequencing analysis. Whole-genome sequences of 659 Mtb strains, including 214 with phenotypic FQ resistance and 445 pan-susceptible isolates, were explored for mutations associated with FQ resistance overall and with resistance to individual FQ drugs (ofloxacin, levofloxacin, moxifloxacin and gatifloxacin). Three novel genes (recC, Rv2005c and PPE59) associated with FQ resistance were identified (P < 0.00001 based on screening analysis and absence of relevant mutations in a pan-susceptible validation set of 360 strains). Nine novel single nucleotide polymorphisms (SNPs), including in gyrB (G5383A and G6773A), gyrA (G7892A), recC (G725900C and G726857T/C), Rv2005c (C2251373G, G2251420C and C2251725T) and PPE59 (C3847269T), were used for diagnostic performance analysis. Enhancing the known SNP set with five of these novel SNPs, including gyrA [G7892A (Leu247Leu)], recC [G725900C (Leu893Leu) and G726857T/C (Arg484Arg)], Rv2005c [G2251420C (Pro205Arg)] and PPE59 [C3847269T (Asn35Asn)] increased the sensitivity of detection of FQ-resistant Mtb from 83.2% (178/214) to 86.9% (186/214) while maintaining 100% specificity (360/360). No specific mutation associated with resistance to only a single drug (ofloxacin, levofloxacin, moxifloxacin or gatifloxacin) was found. In conclusion, this study reports possible additional mutations associated with FQ resistance in Mtb.
Collapse
Affiliation(s)
- Pratchakan Chaiyachat
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Angkana Chaiprasert
- Office for Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Ditthawat Nonghanphithak
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Saijai Smithtikarn
- Bureau of Tuberculosis, Department of Disease Control, Ministry of Public Health, Thailand
| | - Phalin Kamolwat
- Bureau of Tuberculosis, Department of Disease Control, Ministry of Public Health, Thailand
| | - Petchawan Pungrassami
- Bureau of Tuberculosis, Department of Disease Control, Ministry of Public Health, Thailand
| | - Wipa Reechaipichitkul
- Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Rick Twee-Hee Ong
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Genome Institute of Singapore, Singapore; Department of Statistics and Applied Probability, National University of Singapore, Singapore; Life Sciences Institute, National University of Singapore, Singapore
| | - Kiatichai Faksri
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand.
| |
Collapse
|
26
|
Sharma K, Sharma M, Modi M, Goyal M, Sharma A, Ray P. A decade of drug-resistant tuberculous meningitis: A wake-up call for patient-centric therapy. Indian J Med Microbiol 2021; 39:370-372. [PMID: 34090744 DOI: 10.1016/j.ijmmb.2021.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/16/2021] [Accepted: 05/19/2021] [Indexed: 11/26/2022]
Abstract
On analyzing the drug susceptibility profile of 151 clinical isolates collected from patients of tuberculous meningitis (TBM) over 10 years, we reflect on few lessons learnt from the trend of susceptibility profile - drug resistance was not uncommon, fluoroquinolone resistance was observed even among otherwise susceptible isolates and hetero-resistance was observed against rifampicin, isoniazid and also fluoroquinolones. In the midst of widening gap between incidence of drug resistant TBM and availability of effective drugs, our data suggests that universal testing for drug resistance, careful choice of drugs having optimal penetration and individualized therapy should form important pillars of TBM management.
Collapse
Affiliation(s)
- Kusum Sharma
- Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Megha Sharma
- Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India; Department of Microbiology, AIIMS, Bilaspur, Himachal Pradesh, India
| | - Manish Modi
- Neurology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Manoj Goyal
- Neurology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Aman Sharma
- Internal Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Pallab Ray
- Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| |
Collapse
|
27
|
Emergence of additional drug resistance during treatment of multidrug-resistant tuberculosis in China: a prospective cohort study. Clin Microbiol Infect 2021; 27:1805-1813. [PMID: 33895338 DOI: 10.1016/j.cmi.2021.04.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 03/30/2021] [Accepted: 04/06/2021] [Indexed: 12/26/2022]
Abstract
OBJECTIVES Little is known about how additional second-line drug resistance emerges during multidrug-resistant tuberculosis (MDR-TB) treatment. The present study aimed to investigate the influence of microevolution, exogenous reinfection and mixed infection on second-line drug resistance during the recommended 2-year MDR-TB treatment. METHODS Individuals with MDR-TB were enrolled between 2013 and 2016 in a multicentre prospective observational cohort study and were followed up for 2 years until treatment completion. Whole-genome sequencing (WGS) was applied for serial Mycobacterium tuberculosis isolates from study participants throughout the treatment, to study the role of microevolution, exogenous reinfection and mixed infection in the development of second-line drug resistance. RESULTS Of the 286 enrolled patients with MDR-TB, 63 (22.0%) M. tuberculosis isolates developed additional drug resistance during the MDR-TB treatment, including 5 that fulfilled the criteria of extensively drug-resistant TB. By comparing WGS data of serial isolates retrieved from the patients throughout treatment, 41 (65.1%) of the cases of additional second-line drug resistance were the result of exogenous reinfection, 18 (28.6%) were caused by acquired drug resistance, i.e. microevolution, while the remaining 4 (6.3%) were caused by mixed infections with drug-resistant and drug-susceptible strains. In multivariate analysis, previous TB treatment (adjusted hazard ratio (aHR) 2.51, 95% CI 1.51-4.18), extensive disease on chest X-ray (aHR 3.39, 95% CI 2.03-5.66) and type 2 diabetes mellitus (aHR 4.00, 95% CI 2.22-7.21) were independent risk factors associated with the development of additional second-line drug resistance. CONCLUSIONS A large proportion of additional second-line drug resistance emerging during MDR-TB treatment was attributed to exogenous reinfection, indicating the urgency of infection control in health facilities as well as the need for repeated drug susceptibility testing throughout MDR-TB treatment.
Collapse
|
28
|
Peloquin CA, Davies GR. The Treatment of Tuberculosis. Clin Pharmacol Ther 2021; 110:1455-1466. [PMID: 33837535 DOI: 10.1002/cpt.2261] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 03/24/2021] [Indexed: 12/18/2022]
Abstract
Tuberculosis (TB) remains a leading cause of infectious death worldwide, and poverty is a major driver. Clinically, TB presents as "latent" TB and active TB disease, and the treatment for each is different. TB drugs can display "early bactericidal activity (EBA)" and / or "sterilizing activity" (clearing persisters). Isoniazid is excellent at the former, and rifampin is excellent at the latter. Pyrazinamide and ethambutol complete the first-line regimen for drug-susceptible TB, each playing a specific role. Drug-resistant TB is an increasing concern, being met, in part, with repurposed drugs (including moxifloxacin, levofloxacin, linezolid, clofazimine, and beta-lactams) and new drugs (including bedaquiline, pretomanid, and delamanid). One challenge is to select drugs without overlapping adverse drug reaction profiles. QTc interval prolongation is one such concern, but to date, it has been manageable. Drug penetration into organism sanctuaries, such as the central nervous system, bone, and pulmonary TB cavities remain important challenges. The pharmacodynamics of most TB drugs can be described by the area under the curve (AUC) divided by the minimal inhibitory concentration (MIC). The hollow fiber infection model (HFIM) and various animal models (especially mouse and macaque) allow for sophisticated pharmacokinetic/pharmacodynamic experiments. These experiments may hasten the selection of the most potent, shortest possible regimens to treat even extremely drug resistant TB. These findings can be translated to humans by optimizing drug exposure in each patient, using therapeutic drug monitoring and dose individualization.
Collapse
Affiliation(s)
- Charles A Peloquin
- College of Pharmacy and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA
| | - Geraint R Davies
- Institute of Infection and Global Health, University of Liverpool, Liverpool, UK.,Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| |
Collapse
|
29
|
Lam C, Martinez E, Crighton T, Furlong C, Donnan E, Marais BJ, Sintchenko V. Value of routine whole genome sequencing for Mycobacterium tuberculosis drug resistance detection. Int J Infect Dis 2021; 113 Suppl 1:S48-S54. [PMID: 33753222 DOI: 10.1016/j.ijid.2021.03.033] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/02/2021] [Accepted: 03/10/2021] [Indexed: 10/21/2022] Open
Abstract
Routine whole genome sequencing (WGS) of pathogens is becoming more feasible as sequencing costs decrease and access to benchtop sequencing equipment and bioinformatics pipelines increases. This study examined the added value gained from implementing routine WGS of all Mycobacterium tuberculosis isolates in New South Wales, Australia. Drug resistance markers inferred from WGS data were compared to commercial genotypic drug susceptibility testing (DST) assays and conventional phenotypic DST in all isolates sequenced between 2016 and 2019. Of the 1107 clinical M. tuberculosis isolates sequenced, 29 (2.6%) were multi-drug resistant (MDR); most belonged to Beijing (336; 30.4%) or East-African Indian (332; 30%) lineages. Compared with conventional phenotypic DST, WGS identified an additional 1% of isolates which were likely drug resistant, explained by mutations previously associated with treatment failure and mixed bacterial populations. However, WGS provided a 20% increase in drug resistance detection in comparison with commercial genotypic assays by identifying mutations outside of the classic resistance determining regions in rpoB, inhA, katG, pncA and embB genes. Gains in drug resistance detection were significant (p = 0.0137, paired t-test), but varied substantially for different phylogenetic lineages. In low incidence settings, routine WGS of M. tuberculosis provides better guidance for person-centered management of drug resistant tuberculosis than commercial genotypic assays.
Collapse
Affiliation(s)
- Connie Lam
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Western Sydney Local Health District, Sydney, New South Wales, Australia.
| | - Elena Martinez
- NSW Mycobacterium Reference Laboratory, Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, NSW Health Pathology - Western, Sydney, New South Wales, Australia
| | - Taryn Crighton
- NSW Mycobacterium Reference Laboratory, Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, NSW Health Pathology - Western, Sydney, New South Wales, Australia
| | - Catriona Furlong
- New South Wales Tuberculosis Program, Health Protection NSW, Sydney, New South Wales, Australia
| | - Ellen Donnan
- New South Wales Tuberculosis Program, Health Protection NSW, Sydney, New South Wales, Australia
| | - Ben J Marais
- Marie Bashir Institute for Infectious Diseases and Biosecurity and Centre for Research Excellence in Tuberculosis (TB-CRE), The University of Sydney, Sydney, New South Wales, Australia; Children's Hospital at Westmead, Westmead, New South Wales, Australia
| | - Vitali Sintchenko
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Western Sydney Local Health District, Sydney, New South Wales, Australia; NSW Mycobacterium Reference Laboratory, Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, NSW Health Pathology - Western, Sydney, New South Wales, Australia; Marie Bashir Institute for Infectious Diseases and Biosecurity and Centre for Research Excellence in Tuberculosis (TB-CRE), The University of Sydney, Sydney, New South Wales, Australia
| |
Collapse
|
30
|
Klaos K, Agejeva A, Kummik T, Laks S, Remets O, Sasi S, Tann A, Viiklepp P, Altraja A. A successful introduction to a non-expert setting of the thin-layer agar Colour Test as an indirect phenotypic drug susceptibility test for Mycobacterium tuberculosis. Int J Infect Dis 2021; 104:19-26. [PMID: 33385582 DOI: 10.1016/j.ijid.2020.12.071] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 12/18/2020] [Accepted: 12/23/2020] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVES We evaluated the performance of the MDR/XDR-TB Colour Test (CT) as an in-house thin-layer agar-based indirect drug susceptibility test (DST) for Mycobacterium tuberculosis (MTB) in a non-expert setting in Estonia. METHODS After 2 days of hands-on training for laboratory technicians, 6 panels of 150 MTB isolates were cultured onto CT plates prepared in-house in 2 laboratories. Triplicate readings of 900 CT plates resulted in 18 DST patterns for each initial isolate. Time intervals to the results and for media preparation were estimated, and intra- and interobserver agreement, test sensitivities and specificities were calculated. BACTEC MGIT 960 DST was used as a reference. RESULTS The median time to produce DST results for isoniazid, rifampicin and levofloxacin was 13 days. CT sensitivity was 94.7% for levofloxacin, 95.8% for isoniazid and 97.3% for rifampicin. Test specificities were >97% for all 3 drugs. Interobserver agreement was 100% in Lab A and in Lab B >97% for levofloxacin and 99% for isoniazid and rifampicin. CONCLUSIONS The implementation of the CT into a new laboratory was straightforward with only minimal guidance required. This study proves that the CT is highly reproducible and easily interpreted by previously inexperienced personnel.
Collapse
Affiliation(s)
- Kadri Klaos
- Department of Mycobacteriology, United Laboratories, Tartu University Hospital, L. Puusepa 8, 51014 Tartu, Estonia; Department of Pulmonology, University of Tartu, L. Puusepa 8, 50406 Tartu, Estonia.
| | - Anna Agejeva
- Department of Mycobacteriology, United Laboratories, Tartu University Hospital, L. Puusepa 8, 51014 Tartu, Estonia
| | - Tiina Kummik
- Department of Mycobacteriology, United Laboratories, Tartu University Hospital, L. Puusepa 8, 51014 Tartu, Estonia
| | - Sirje Laks
- Department of Microbiology and Molecular Diagnostics, Laboratory, North Estonia Medical Centre Foundation, J. Sütiste tee 19, 13419 Tallinn, Estonia
| | - Olesja Remets
- Department of Microbiology and Molecular Diagnostics, Laboratory, North Estonia Medical Centre Foundation, J. Sütiste tee 19, 13419 Tallinn, Estonia
| | - Sirje Sasi
- Department of Microbiology and Molecular Diagnostics, Laboratory, North Estonia Medical Centre Foundation, J. Sütiste tee 19, 13419 Tallinn, Estonia
| | - Anneli Tann
- Department of Mycobacteriology, United Laboratories, Tartu University Hospital, L. Puusepa 8, 51014 Tartu, Estonia
| | - Piret Viiklepp
- Estonian Tuberculosis Registry, National Institute for Health Development, Hiiu 42, 11619 Tallinn, Estonia
| | - Alan Altraja
- Department of Pulmonology, University of Tartu, L. Puusepa 8, 50406 Tartu, Estonia; Lung Clinic, Tartu University Hospital, Riia 167, 50411 Tartu, Estonia
| |
Collapse
|
31
|
Nonghanphithak D, Kaewprasert O, Chaiyachat P, Reechaipichitkul W, Chaiprasert A, Faksri K. Whole-genome sequence analysis and comparisons between drug-resistance mutations and minimum inhibitory concentrations of Mycobacterium tuberculosis isolates causing M/XDR-TB. PLoS One 2020; 15:e0244829. [PMID: 33382836 PMCID: PMC7775048 DOI: 10.1371/journal.pone.0244829] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 12/16/2020] [Indexed: 11/18/2022] Open
Abstract
Drug resistance (DR) remains a major challenge for tuberculosis (TB) control. Whole-genome sequencing (WGS) provides the highest genetic resolution for genotypic drug-susceptibility tests (DST). We compared DST profiles of 60 Mycobacterium tuberculosis isolates which were drug resistant according to agar proportion tests (one poly DR-TB, 34 multidrug-resistant TB and 25 extensively drug-resistant TB). We additionally performed minimum inhibitory concentration (MIC) tests using Sensititre MYCOTBI plates (MYCOTB) and a WGS-based DST. Agreement between WGS-based DST and MYCOTB was high for all drugs except ethambutol (65%) and ethionamide (62%). Isolates harboring the -15 c/t inhA promoter mutation had a significantly lower MIC for isoniazid than did isolates with the katG Ser315Thr mutation (p < 0.001). Similar patterns were seen for ethambutol (embB Gly406Asp vs. embB Met306Ile), streptomycin (gid Gly73Ala vs. rpsL Lys43Arg), moxifloxacin (gyrA Ala90Val vs. gyrA Asp94Gly) and rifabutin (rpoB Asp435Phe/Tyr/Val vs. rpoB Ser450Leu). For genotypic heteroresistance, isolates with lower proportion of mapped read tended to has lower MIC of anti-TB drugs than those with higher proportion. These results emphasize the high applicability of WGS for determination of DR-TB and the association of particular mutations with MIC levels.
Collapse
Affiliation(s)
- Ditthawat Nonghanphithak
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Orawee Kaewprasert
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Pratchakan Chaiyachat
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
| | - Wipa Reechaipichitkul
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
- Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Angkana Chaiprasert
- Drug Resistant Tuberculosis Research Fund Laboratory, Research and Development Affairs, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Kiatichai Faksri
- Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand
- * E-mail:
| |
Collapse
|
32
|
Tuberculosis diagnostics: overcoming ancient challenges with modern solutions. Emerg Top Life Sci 2020; 4:423-436. [PMID: 33258943 PMCID: PMC7733669 DOI: 10.1042/etls20200335] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/23/2020] [Accepted: 11/09/2020] [Indexed: 12/25/2022]
Abstract
Rapid, sensitive, accurate and portable diagnostics are a mainstay of modern medicine. Tuberculosis is a disease that has been with us since time immemorial and, despite the fact that it can be treated and cured, it still remains the world's biggest infectious killer, taking the lives of millions annually. There have been important developments in the diagnostic devices for tuberculosis however, these are often prone to error, expensive, lack the necessary sensitivity or accuracy and, crucially, not sufficiently portable and thus not applicable in the remote, rural areas, where they are most needed. Modern solutions have been emerging in the past decade, seeking to overcome many of the inhibiting issues in this field by utilising recent advances in molecular biology, genetics and sequencing or even completely ‘reinventing the wheel’, by developing novel and unprecedented diagnostic techniques. In this mini review, the issues and challenges arising from the historical methods of diagnosing tuberculosis are discussed, followed by outlaying their particular lack of appropriateness for regions of the world where tuberculosis still remains endemic. Subsequently, more recent developments of new methods and technological advancements as ‘modern weapons’ in the battle to defeat this disease and associated challenges are reviewed, and finally an outlook is presented, highlighting the future of the modern solutions under development, which are envisioned to lay the platform for improvements in delivering timely intervention, reduce immense expense and burden on healthcare systems worldwide, while saving millions of lives and eventually, may enable the eradication of this ancient disease.
Collapse
|
33
|
Ngabonziza JCS, Van Deun A, Migambi P, Niyigena EB, Dusabe T, Habimana YM, Ushizimpumu B, Mulders W, Decroo T, Affolabi D, Supply P, de Jong BC, Rigouts L. Case Report: Dynamics of Acquired Fluoroquinolone Resistance under Standardized Short-Course Treatment of Multidrug-Resistant Tuberculosis. Am J Trop Med Hyg 2020; 103:1443-1446. [PMID: 32618257 PMCID: PMC7543851 DOI: 10.4269/ajtmh.20-0201] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
We report a case of acquired fluoroquinolone (FQ) resistance under short-course multidrug-resistant tuberculosis (MDR-TB) treatment. The patient was managed at Kabutare hospital, one of the two specialized MDR-TB clinics in Rwanda. A low dose of moxifloxacin was used in the first three critical months. Acquired resistance was identified at the ninth month of treatment, 3 months after stopping kanamycin in a strain initially susceptible only to FQs, kanamycin, and clofazimine. Fluoroquinolone resistance was detected in the same month by deep sequencing as routinely used second-line line probe assay and phenotypic drug susceptibility testing. High-dose FQ, preferably gatifloxacin, should be used to maximize effectiveness.
Collapse
Affiliation(s)
- Jean Claude Semuto Ngabonziza
- National Reference Laboratory Division, Department of Biomedical Services, Rwanda Biomedical Centre, Kigali, Rwanda.,Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.,Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | | | - Patrick Migambi
- Tuberculosis and Other Respiratory Diseases Division, Institute of HIV/AIDS Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda
| | - Esdras Belamo Niyigena
- National Reference Laboratory Division, Department of Biomedical Services, Rwanda Biomedical Centre, Kigali, Rwanda
| | | | - Yves Mucyo Habimana
- Tuberculosis and Other Respiratory Diseases Division, Institute of HIV/AIDS Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda
| | - Bertin Ushizimpumu
- National Reference Laboratory Division, Department of Biomedical Services, Rwanda Biomedical Centre, Kigali, Rwanda
| | - Wim Mulders
- Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Tom Decroo
- Research Foundation Flanders, Brussels, Belgium.,Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | | | - Philip Supply
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019-UMR9017-CIIL-Centre d'Infection et d'Immunité de Lille, F-59000 Lille, France
| | - Bouke C de Jong
- Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Leen Rigouts
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.,Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| |
Collapse
|
34
|
Feuerriegel S, Kohl TA, Utpatel C, Andres S, Maurer FP, Heyckendorf J, Jouet A, Badalato N, Foray L, Fouad Kamara R, Conteh OS, Supply P, Niemann S. Rapid genomic first- and second-line drug resistance prediction from clinical Mycobacterium tuberculosis specimens using Deeplex-MycTB. Eur Respir J 2020; 57:13993003.01796-2020. [DOI: 10.1183/13993003.01796-2020] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 06/25/2020] [Indexed: 11/05/2022]
|
35
|
Sayadi M, Zare H, Jamedar SA, Hashemy SI, Meshkat Z, Soleimanpour S, Hoffner S, Ghazvini K. Genotypic and phenotypic characterization of Mycobacterium tuberculosis resistance against fluoroquinolones in the northeast of Iran. BMC Infect Dis 2020; 20:390. [PMID: 32487030 PMCID: PMC7268510 DOI: 10.1186/s12879-020-05112-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Accepted: 05/20/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Fluoroquinolones are broad-spectrum antibiotics that are recommended, and increasingly important, for the treatment of multidrug-resistant tuberculosis (MDR-TB). Resistance to fluoroquinolones is caused by mutations in the Quinolone Resistance Determining Region (QRDR) of gyrA and gyrB genes of Mycobacterium tuberculosis. In this study, we characterized the phenotypic and genotypic resistance to fluoroquinolones for the first time in northeast Iran. METHODS A total of 123 Mycobacterium tuberculosis isolates, including 111 clinical and 12 collected multidrug-resistant isolates were studied. Also, 19 WHO quality control strains were included in the study. The phenotypic susceptibility was determined by the proportion method on Löwenstein-Jensen medium. The molecular cause of resistance to the fluoroquinolone drugs ofloxacin and levofloxacin was investigated by sequencing of the QRDR region of the gyrA and gyrB genes. RESULTS Among 123 isolates, six (4.8%) were fluoroquinolone-resistant according to phenotypic methods, and genotypically three of them had a mutation at codon 94 of the gyrA gene (Asp→ Gly) which was earlier reported to cause resistance. All three remaining phenotypically resistant isolates had a nucleotide change in codon 95. No mutations were found in the gyrB gene. Five of the 19 WHO quality control strains, were phenotypically fluoroquinolone-resistant, four of them were genotypically resistant with mutations at codon 90, 91 of the gyrA gene and one resistant strain had no detected mutation. CONCLUSIONS Mutation at codon 94 of the gyrA gene, was the main cause of fluoroquinolone resistance among M. tuberculosis isolates in our region. In 3/6 fluoroquinolone-resistant isolates, no mutations were found in either gyrA or gyrB. Therefore, it can be concluded that various other factors may lead to fluoroquinolone resistance, such as active efflux pumps, decreased cell wall permeability, and drug inactivation.
Collapse
Affiliation(s)
- Mahdieh Sayadi
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hosna Zare
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Saeed Amel Jamedar
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Seyed Isaac Hashemy
- Department of Clinical Biochemistry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Zahra Meshkat
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Saman Soleimanpour
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sven Hoffner
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | - Kiarash Ghazvini
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| |
Collapse
|
36
|
Nimmo C, Brien K, Millard J, Grant AD, Padayatchi N, Pym AS, O'Donnell M, Goldstein R, Breuer J, Balloux F. Dynamics of within-host Mycobacterium tuberculosis diversity and heteroresistance during treatment. EBioMedicine 2020; 55:102747. [PMID: 32361247 PMCID: PMC7195533 DOI: 10.1016/j.ebiom.2020.102747] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 03/02/2020] [Accepted: 03/19/2020] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Studying within-host genetic diversity of Mycobacterium tuberculosis (Mtb) in patients during treatment may identify adaptations to antibiotic and immune pressure. Understanding the significance of genetic heteroresistance, and more specifically heterozygous resistance-associated variants (RAVs), is clinically important given increasing use of rapid molecular tests and whole genome sequencing (WGS). METHODS We analyse data from six studies in KwaZulu-Natal, South Africa. Most patients (>75%) had baseline rifampicin resistance. Sputum was collected for culture at baseline and at between two and nine intervals until month six. Positive cultures underwent WGS. Mixed infections and reinfections were excluded from analysis. FINDINGS Baseline Mtb overall genetic diversity (at treatment initiation or major change to regimen) was associated with cavitary disease, not taking antiretroviral therapy if HIV infected, infection with lineage 2 strains and absence of second-line drug resistance on univariate analyses. Baseline genetic diversity was not associated with six-month outcome. Genetic diversity increased from baseline to weeks one and two before returning to previous levels. Baseline genetic heteroresistance was most common for bedaquiline (6/10 [60%] of isolates with RAVs) and fluoroquinolones (9/62 [13%]). Most patients with heterozygous RAVs on WGS with sequential isolates available demonstrated RAV persistence or fixation (17/20, 85%). New RAVs emerged in 9/286 (3%) patients during treatment. We could detect low-frequency RAVs preceding emergent resistance in only one case, although validation of deep sequencing to detect rare variants is required. INTERPRETATION In this study of single-strain Mtb infections, baseline within-host bacterial genetic diversity did not predict outcome but may reveal adaptations to host and drug pressures. Predicting emergent resistance from low-frequency RAVs requires further work to separate transient from consequential mutations. FUNDING Wellcome Trust, NIH/NIAID.
Collapse
MESH Headings
- Adult
- Antitubercular Agents/therapeutic use
- Cohort Studies
- Diarylquinolines/therapeutic use
- Drug Resistance, Multiple, Bacterial/genetics
- Female
- Fluoroquinolones/therapeutic use
- Gene Expression Regulation, Bacterial
- Genes, Bacterial
- Genetic Variation
- Host-Pathogen Interactions/genetics
- Humans
- Male
- Metabolic Networks and Pathways/genetics
- Microbial Sensitivity Tests
- Middle Aged
- Mycobacterium tuberculosis/drug effects
- Mycobacterium tuberculosis/genetics
- Mycobacterium tuberculosis/metabolism
- Rifampin/therapeutic use
- South Africa
- Sputum/microbiology
- Tuberculosis, Multidrug-Resistant/drug therapy
- Tuberculosis, Multidrug-Resistant/microbiology
- Tuberculosis, Multidrug-Resistant/pathology
- Tuberculosis, Pulmonary/drug therapy
- Tuberculosis, Pulmonary/microbiology
- Tuberculosis, Pulmonary/pathology
Collapse
Affiliation(s)
- Camus Nimmo
- Division of Infection and Immunity, University College London, London, UK; UCL Genetics Institute, University College London, London, UK; Africa Health Research Institute, Durban, South Africa.
| | - Kayleen Brien
- Africa Health Research Institute, Durban, South Africa
| | - James Millard
- Africa Health Research Institute, Durban, South Africa; Wellcome Trust Liverpool Glasgow Centre for Global Health Research, Liverpool, UK; Institute of Infection and Global Health, University of Liverpool, Liverpool, UK
| | - Alison D Grant
- Africa Health Research Institute, Durban, South Africa; London School of Hygiene & Tropical Medicine, London, UK
| | - Nesri Padayatchi
- CAPRISA MRC-HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
| | | | - Max O'Donnell
- CAPRISA MRC-HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa; Department of Medicine & Epidemiology, Columbia University Medical Center, New York, NY, USA
| | - Richard Goldstein
- Division of Infection and Immunity, University College London, London, UK
| | - Judith Breuer
- Division of Infection and Immunity, University College London, London, UK
| | | |
Collapse
|
37
|
He G, Li Y, Chen X, Chen J, Zhang W. Prediction of treatment outcomes for multidrug-resistant tuberculosis by whole-genome sequencing. Int J Infect Dis 2020; 96:68-72. [PMID: 32339719 DOI: 10.1016/j.ijid.2020.04.043] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 04/15/2020] [Accepted: 04/16/2020] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Whole-genome sequencing (WGS) has been proposed to be a powerful tool to predict drug resistance for antitubercular drugs. However, the feasibility of WGS in predicting final treatment outcomes for multidrug-resistant tuberculosis (MDR-TB) patients remains unclear PATIENTS AND METHODS: In this prospective observational study conducted from January 2014 to September 2016, MDR-TB patients were enrolled consecutively. Genotypic drug sensitivity testing was performed via WGS using culture isolates. Patients were followed for two years to determine the treatment outcomes. Multivariate analysis was used to identify the association between information provided by WGS and the final treatment outcomes RESULTS: A total of 123 patients with MDR-TB were included in this study. The overall favorable treatment outcome rate was 60.2%. Multivariate analysis showed that independent risk factors associated with unfavorable treatment outcome including high-level moxifloxacin phenotypic resistance (OR, 4.362; 95%CI, 1.364-13.950; p=0.013), cycloserine phenotypic resistance (OR, 7.457; 95%CI, 1.644-33.819; p=0.009), mutations causing high-level fluoroquinolones resistance (OR, 3.947; 95%CI, 1.195-13.034; p=0.024), and ethA mutation (OR, 3.817; 95% CI, 1.154-12.823; p=0.028). WGS costs for each patient are ¥450 ($63), and the average turnaround time was one week CONCLUSIONS: In summary, WGS showed promising feasibility in predicting treatment outcomes for MDR-TB patients within a clinically relevant time frame.
Collapse
Affiliation(s)
- Guiqing He
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Yang Li
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Xinchang Chen
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Jiazhen Chen
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Wenhong Zhang
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, 200040, China; State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, 200438, China; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China; Key Laboratory of Medical Molecular Virology (MOE/MOH) and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| |
Collapse
|
38
|
How Well Do Routine Molecular Diagnostics Detect Rifampin Heteroresistance in Mycobacterium tuberculosis? J Clin Microbiol 2019; 57:JCM.00717-19. [PMID: 31413081 PMCID: PMC6812990 DOI: 10.1128/jcm.00717-19] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 08/09/2019] [Indexed: 11/20/2022] Open
Abstract
Rifampin heteroresistance—where rifampin-resistant and -susceptible tuberculosis (TB) bacilli coexist—may result in failed standard TB treatment and potential spread of rifampin-resistant strains. The detection of rifampin heteroresistance in routine rapid diagnostic tests (RDTs) allows for patients to receive prompt and effective multidrug-resistant-TB treatment and may improve rifampin-resistant TB control. Rifampin heteroresistance—where rifampin-resistant and -susceptible tuberculosis (TB) bacilli coexist—may result in failed standard TB treatment and potential spread of rifampin-resistant strains. The detection of rifampin heteroresistance in routine rapid diagnostic tests (RDTs) allows for patients to receive prompt and effective multidrug-resistant-TB treatment and may improve rifampin-resistant TB control. The limit of detection (LOD) of rifampin heteroresistance for phenotypic drug susceptibility testing by the proportion method is 1% and, yet, is insufficiently documented for RDTs. We, therefore, aimed to determine, for the four RDTs (XpertMTB/RIF, XpertMTB/RIF Ultra, GenoTypeMTBDRplusv2.0, and GenoscholarNTM+MDRTBII), the LOD per probe and mutation, validated by CFU counting and targeted deep sequencing (Deeplex-MycTB). We selected one rifampin-susceptible and four rifampin-resistant strains, with mutations D435V, H445D, H445Y, and S450L, respectively, mixed them in various proportions in triplicate, tested them with each RDT, and determined the LODs per mutation type. Deeplex-MycTB revealed concordant proportions of the minority resistant variants in the mixtures. The Deeplex-MycTB-validated LODs ranged from 20% to 80% for XpertMTB/RIF, 20% to 70% for Xpert Ultra, 5% to 10% for GenoTypeMTBDRplusv2.0, and 1% to 10% for GenoscholarNTM+MDRTBII for the different mutations. Deeplex-MycTB, GenoTypeMTBDRplusv2.0, and GenoscholarNTM+MDRTBII provide explicit information on rifampin heteroresistance for the most frequently detected mutations. Classic Xpert and Ultra report rifampin heteroresistance as rifampin resistance, while Ultra may denote rifampin heteroresistance through “mixed patterns” of wild-type and mutant melt probe, melt peak temperatures. Overall, our findings inform end users that the threshold for reporting resistance in the case of rifampin heteroresistance is the highest for Classic Xpert and Ultra to resolve phenotypic and genotypic discordant rifampin-resistant TB results.
Collapse
|