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Le X, Qian X, Liu L, Sun J, Song W, Qi T, Wang Z, Tang Y, Xu S, Yang J, Wang J, Chen J, Zhang R, Zhu Z, Shen Y. Trends in and Risk Factors for Drug Resistance in Mycobacterium tuberculosis in HIV-Infected Patients. Viruses 2024; 16:627. [PMID: 38675968 PMCID: PMC11054988 DOI: 10.3390/v16040627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
Trends in and risk factors for drug resistance in Mycobacterium tuberculosis (M. tuberculosis) in human immunodeficiency virus (HIV)-infected patients with active tuberculosis were analyzed. The clinical data of M. tuberculosis and HIV-coinfected patients treated at the Shanghai Public Health Clinical Center between 2010 and 2022 were collected. The diagnosis of tuberculosis was confirmed by solid or liquid culture. The phenotypic drug susceptibility test was carried out via the proportional method, and the resistance to first-line and second-line drugs was analyzed. Logistic regression analysis was performed to identify associated risk factors for drug resistance in M. tuberculosis. Of the 304 patients with a M. tuberculosis-positive culture and first-line drug susceptibility test results, 114 (37.5%) were resistant to at least one first-line anti-tuberculosis drug. Of the 93 patients with first-line and second-line drug susceptibility test results, 40 (43%) were resistant to at least one anti-tuberculosis drug, and 20 (21.5%), 27 (29.0%), 19 (20.4%), 16 (17.2%), and 14 (15.1%) were resistant to rifampicin, streptomycin, ofloxacin, levofloxacin, and moxifloxacin, respectively; 17 patients (18.3%) had multidrug-resistant tuberculosis (MDR-TB). Between 2010 and 2021, the rate of resistance to streptomycin and rifampicin ranged from 14.3% to 40.0% and from 8.0% to 26.3%, respectively, showing an increasing trend year by year. From 2016 to 2021, the rate of resistance to quinolones fluctuated between 7.7% and 27.8%, exhibiting an overall upward trend. Logistic regression analysis showed that being aged <60 years old was a risk factor for streptomycin resistance, mono-drug resistance, and any-drug resistance (RR 4.139, p = 0.023; RR 7.734, p = 0.047; RR 3.733, p = 0.009). Retreatment tuberculosis was a risk factor for resistance to rifampicin, ofloxacin, of levofloxacin (RR 2.984, p = 0.047; RR 4.517, p = 0.038; RR 6.277, p = 0.014). The drug resistance rates of M. tuberculosis to rifampicin and to quinolones in HIV/AIDS patients were high and have been increasing year by year. Age and a history of previous anti-tuberculosis treatment were the main factors associated with the development of drug resistance in HIV/AIDS patients with tuberculosis.
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Affiliation(s)
- Xiaoqin Le
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Xueqin Qian
- Department of Clinical Laboratory, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Li Liu
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Jianjun Sun
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Wei Song
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Tangkai Qi
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Zhenyan Wang
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Yang Tang
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Shuibao Xu
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Junyang Yang
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Jiangrong Wang
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Jun Chen
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Renfang Zhang
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Zhaoqin Zhu
- Department of Clinical Laboratory, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Yinzhong Shen
- Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
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Komakech K, Nakiyingi L, Fred A, Achan B, Joloba M, Kirenga BJ, Ssengooba W. Effect of mixed Mycobacterium tuberculosis infection on rapid molecular diagnostics among patients starting MDR-TB treatment in Uganda. BMC Infect Dis 2024; 24:70. [PMID: 38200467 PMCID: PMC10782568 DOI: 10.1186/s12879-023-08968-5] [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: 09/04/2023] [Accepted: 12/30/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Mixed M. tuberculosis (MTB) infection occurs when one is infected with more than one clonally distinct MTB strain. This form of infection can assist MTB strains to acquire additional mutations, facilitate the spread of drug-resistant strains, and boost the rate of treatment failure. Hence, the presence of mixed MTB infection could affect the performance of some rapid molecular diagnostic tests such as Line Probe Assay (LPA) and GeneXpert MTB/RIF (Xpert) assays. METHODS This was a cross-sectional study that used sputum specimens collected from participants screened for STREAM 2 clinical trial between October 2017 and October 2019. Samples from 62 MTB smear-positive patients and rifampicin-resistant patients from peripheral health facilities were processed for Xpert and LPA as screening tests for eligibility in the trial. From November 2020, processed stored sputum samples were retrieved and genotyped to determine the presence of mixed-MTB strain infection using a standard 24-locus Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem-Repeat (MIRU-VNTR). Samples with at least 20/24 MIRU-VNTR loci amplified were considered for analysis. Agar proportional Drug Susceptibility Test (DST) was performed on culture isolates of samples that had discordant results between LPA and Xpert. The impact of the presence of mixed-MTB strain on Xpert and LPA test interpretation was analyzed. RESULTS A total of 53/62 (85%) samples had analyzable results from MIRU-VNTR. The overall prevalence of mixed-MTB infection was 5/53 (9.4%). The prevalence was highest among male's 3/31 (9.7%) and among middle-aged adults, 4/30 (33.3%). Lineage 4 of MTB contributed 3/5 (60.0%) of the mixed-MTB infection prevalence. Having mixed MTB strain infection increased the odds of false susceptible Xpert test results (OR 7.556, 95% CI 0.88-64.44) but not for LPA. Being HIV-positive (P = 0.04) independently predicted the presence of mixed MTB infection. CONCLUSIONS The presence of mixed-MTB strain infection may affect the performance of the GeneXpert test but not for LPA. For patients with high pre-test probability of rifampicin resistance, an alternative rapid method such as LPA should be considered.
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Affiliation(s)
- Kevin Komakech
- Department of Medical Microbiology, Mycobacteriology (BSL-3) Laboratory, Makerere University, Kampala, Uganda
| | - Lydia Nakiyingi
- Department of Medicine, School of Medicine, Makerere University, Kampala, Uganda
| | - Ashab Fred
- Department of Immunology and Molecular Biology, Makerere University, Kampala, Uganda
| | - Beatrice Achan
- Department of Medical Microbiology, Mycobacteriology (BSL-3) Laboratory, Makerere University, Kampala, Uganda
| | - Moses Joloba
- Department of Immunology and Molecular Biology, Makerere University, Kampala, Uganda
| | - Bruce J Kirenga
- Makerere University Lung Institute, Makerere University College of Health Sciences, Kampala, Uganda
| | - Willy Ssengooba
- Department of Medical Microbiology, Mycobacteriology (BSL-3) Laboratory, Makerere University, Kampala, Uganda.
- Makerere University Lung Institute, Makerere University College of Health Sciences, Kampala, Uganda.
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Rao M, Wollenberg K, Harris M, Kulavalli S, Thomas L, Chawla K, Shenoy VP, Varma M, Saravu K, Hande HM, Shanthigrama Vasudeva CS, Jeffrey B, Gabrielian A, Rosenthal A. Lineage classification and antitubercular drug resistance surveillance of Mycobacterium tuberculosis by whole-genome sequencing in Southern India. Microbiol Spectr 2023; 11:e0453122. [PMID: 37671895 PMCID: PMC10580826 DOI: 10.1128/spectrum.04531-22] [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: 11/13/2022] [Accepted: 07/03/2023] [Indexed: 09/07/2023] Open
Abstract
Whole-genome sequencing has created a revolution in tuberculosis management by providing a comprehensive picture of the various genetic polymorphisms with unprecedented accuracy. Studies mapping genomic heterogeneity in clinical isolates of Mycobacterium tuberculosis using a whole-genome sequencing approach from high tuberculosis burden countries are underrepresented. We report whole-genome sequencing results of 242 clinical isolates of culture-confirmed M. tuberculosis isolates from tuberculosis patients referred to a tertiary care hospital in Southern India. Phylogenetic analysis revealed that the isolates in our study belonged to five different lineages, with Indo-Oceanic (lineage 1, n = 122) and East-African Indian (lineage 3, n = 80) being the most prevalent. We report several mutations in genes conferring resistance to first and second line antitubercular drugs including the genes rpoB, katG, ahpC, inhA, fabG1, embB, pncA, rpsL, rrs, and gyrA. The majority of these mutations were identified in relatively high proportions in lineage 1. Our study highlights the utility of whole-genome sequencing as a potential supplemental tool to the existing genotypic and phenotypic methods, in providing expedited comprehensive surveillance of mutations that may be associated with antitubercular drug resistance as well as lineage characterization of M. tuberculosis isolates. Further larger-scale whole-genome datasets with linked minimum inhibition concentration testing are imperative for resolving the discrepancies between whole-genome sequencing and phenotypic drug sensitivity testing results and quantifying the level of the resistance associated with the mutations for optimization of antitubercular drug and precise dose selection in clinics. IMPORTANCE Studies mapping genetic heterogeneity of clinical isolates of M. tuberculosis for determining their strain lineage and drug resistance by whole-genome sequencing are limited in high tuberculosis burden settings. We carried out whole-genome sequencing of 242 M. tuberculosis isolates from drug-sensitive and drug-resistant tuberculosis patients, identified and collected as part of the TB Portals Program, to have a comprehensive insight into the genetic diversity of M. tuberculosis in Southern India. We report several genetic variations in M. tuberculosis that may confer resistance to antitubercular drugs. Further wide-scale efforts are required to fully characterize M. tuberculosis genetic diversity at a population level in high tuberculosis burden settings for providing precise tuberculosis treatment.
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Affiliation(s)
- Mahadev Rao
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Kurt Wollenberg
- Department of Health and Human Services, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Michael Harris
- Department of Health and Human Services, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Shrivathsa Kulavalli
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Levin Thomas
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Kiran Chawla
- Department of Microbiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Vishnu Prasad Shenoy
- Department of Microbiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Muralidhar Varma
- Department of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - Kavitha Saravu
- Department of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | - H. Manjunatha Hande
- Department of Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
| | | | - Brendan Jeffrey
- Department of Health and Human Services, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Andrei Gabrielian
- Department of Health and Human Services, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Alex Rosenthal
- Department of Health and Human Services, Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
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Byrne A, Bissonnette N, Ollier S, Tahlan K. Investigating in vivo Mycobacterium avium subsp. paratuberculosis microevolution and mixed strain infections. Microbiol Spectr 2023; 11:e0171623. [PMID: 37584606 PMCID: PMC10581078 DOI: 10.1128/spectrum.01716-23] [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: 04/28/2023] [Accepted: 07/10/2023] [Indexed: 08/17/2023] Open
Abstract
Mycobacterium avium subsp. paratuberculosis (MAP) causes Johne's Disease (JD) in ruminants, which is responsible for significant economic loss to the global dairy industry. Mixed strain infection (MSI) refers to the concurrent infection of a susceptible host with genetically distinct strains of a pathogen, whereas within-host changes in an infecting strain leading to genetically distinguishable progeny is called microevolution. The two processes can influence host-pathogen dynamics, disease progression and outcomes, but not much is known about their prevalence and impact on JD. Therefore, we obtained up to 10 MAP isolates each from 14 high-shedding animals and subjected them to whole-genome sequencing. Twelve of the 14 animals examined showed evidence for the presence of MSIs and microevolution, while the genotypes of MAP isolates from the remaining two animals could be attributed solely to microevolution. All MAP isolates that were otherwise isogenic had differences in short sequence repeats (SSRs), of which SSR1 and SSR2 were the most diverse and homoplastic. Variations in SSR1 and SSR2, which are located in ORF1 and ORF2, respectively, affect the genetic reading frame, leading to protein products with altered sequences and computed structures. The ORF1 gene product is predicted to be a MAP surface protein with possible roles in host immune modulation, but nothing could be inferred regarding the function of ORF2. Both genes are conserved in Mycobacterium avium complex members, but SSR1-based modulation of ORF1 reading frames seems to only occur in MAP, which could have potential implications on the infectivity of this pathogen. IMPORTANCE Johne's disease (JD) is a major problem in dairy animals, and concerns have been raised regarding the association of Mycobacterium avium subsp. paratuberculosis (MAP) with Crohn's disease in humans. MAP is an extremely slow-growing bacterium with low genome evolutionary rates. Certain short sequence repeats (SSR1 and SSR2) in the MAP chromosome are highly variable and evolve at a faster rate than the rest of the chromosome. In the current study, multiple MAP isolates with genetic variations such as single-nucleotide polymorphisms, and more noticeably, diverse SSRs, could simultaneously infect animals. Variations in SSR1 and SSR2 affect the products of the respective genes containing them. Since multiple MAP isolates can infect the same animal and the possibility that the pathogen undergoes further changes within the host due to unstable SSRs, this could provide a compensative mechanism for an otherwise slow-evolving pathogen to increase phenotypic diversity for overcoming host responses.
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Affiliation(s)
- Alexander Byrne
- Department of Biology, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada
| | - Nathalie Bissonnette
- Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, Quebec, Canada
| | - Séverine Ollier
- Sherbrooke Research and Development Centre, Agriculture and Agri-Food Canada, Sherbrooke, Quebec, Canada
| | - Kapil Tahlan
- Department of Biology, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada
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Faye LM, Hosu MC, Oostvogels S, Dippenaar A, Warren RM, Sineke N, Vasaikar S, Apalata T. The Detection of Mutations and Genotyping of Drug-Resistant Mycobacterium tuberculosis Strains Isolated from Patients in the Rural Eastern Cape Province. Infect Dis Rep 2023; 15:403-416. [PMID: 37489395 PMCID: PMC10366782 DOI: 10.3390/idr15040041] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 07/01/2023] [Accepted: 07/06/2023] [Indexed: 07/26/2023] Open
Abstract
Drug-resistant tuberculosis (DR-TB) is still a major public health concern in South Africa. Mutations in M. tuberculosis can cause varying levels of phenotypic resistance to anti-TB medications. There have been no prior studies on gene mutations and the genotyping of DR-TB in the rural Eastern Cape Province; hence, we aimed to identify DR-TB mutations, genetic diversity, and allocated lineages among patients in this area. Using Xpert® MTB/RIF, we assessed the rifampin resistance of sputum samples collected from 1157 patients suspected of having tuberculosis. GenoType MTBDR plus VER 2.0 was used for the detection of mutations causing resistance to anti-TB medications. The next step was to spoligotype 441 isolates. The most prevalent rifampin resistance-conferring mutations were in rpoB codon S531L in INH-resistant strains; the katG gene at codon S315TB and the inhA gene at codon C-15TB had the most mutations; 54.5% and 24.7%, respectively. In addition, 24.6% of strains showed mutations in both the rpoB and inhA genes, while 69.9% of strains showed mutations in both the katG and rpoB genes. Heteroresistance was seen in 17.9% of all cases in the study. According to spoligotyping analysis, Beijing families predominated. Investigation of the evolutionary lineages of M. tuberculosis isolates can be carried out using the information provided by the study's diversity of mutations. In locations wherein these mutations have been discovered, decision-making regarding the standardization of treatment regimens or individualized treatment may be aided by the detection frequency of rpoB, katG, and inhA mutations in various study areas.
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Affiliation(s)
- Lindiwe M Faye
- Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha 5099, South Africa
- National Health Laboratory Services (NHLS), Mthatha 5099, South Africa
| | - Mojisola C Hosu
- Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha 5099, South Africa
- National Health Laboratory Services (NHLS), Mthatha 5099, South Africa
| | - Selien Oostvogels
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, BE-2000 Antwerp, Belgium
| | - Anzaan Dippenaar
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, BE-2000 Antwerp, Belgium
| | - Robin M Warren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council, Parowvallei, Cape Town 7505, South Africa
- Centre for Molecular and Cellular Biology, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa
| | - Ncomeka Sineke
- Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha 5099, South Africa
- National Health Laboratory Services (NHLS), Mthatha 5099, South Africa
| | - Sandeep Vasaikar
- Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha 5099, South Africa
- National Health Laboratory Services (NHLS), Mthatha 5099, South Africa
| | - Teke Apalata
- Department of Laboratory Medicine and Pathology, Walter Sisulu University, Mthatha 5099, South Africa
- National Health Laboratory Services (NHLS), Mthatha 5099, South Africa
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Bokop C, Faye LM, Apalata T. Analysis of Discordance between Genotypic and Phenotypic Assays for Rifampicin-Resistant Mycobacterium tuberculosis Isolated from Healthcare Facilities in Mthatha. Pathogens 2023; 12:909. [PMID: 37513756 PMCID: PMC10384316 DOI: 10.3390/pathogens12070909] [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: 04/06/2023] [Revised: 06/05/2023] [Accepted: 07/03/2023] [Indexed: 07/30/2023] Open
Abstract
The study sought to determine the rate of discordant results between genotypic and phenotypic tests for the diagnosis of drug-resistant tuberculosis (DR-TB). Sputum samples and cultured isolates from suspected DR-TB patients were, respectively, analyzed for Mycobacterium tuberculosis by Xpert® MTB/RIF (Cepheid, Sunnyvale, CA, USA) and line probe assays (LPA) (Hain, Nehren, Germany). Discrepant rifampicin (RMP)-resistant results were confirmed using BACTEC MGIT960 (BD, New York, NY, USA). Of the 224 RMP-resistant results obtained by Xpert MTB/RIF, 5.4% were susceptible to RMP by LPA. MGIT960 showed a 75% agreement with LPA. The discrepancy was attributed to either heteroresistance or DNA contamination during LPA testing in 58.3% of cases. In 25% of the samples showing agreement in RMP resistance between Xpert MTB/RIF and MGIT960, the discrepancy was attributed to laboratory errors causing false RMP susceptible results with LPA. In 16.7% of the cases, the discrepancy was attributed to false RMP susceptible results with Xpert MTB/RIF. Out of the 224 isolates, susceptibility to isoniazid (INH) by LPA was performed in 73.7% RMP-resistant isolates, of which, 80.6% were resistant. All RMP-resistant isolates by Xpert MTB/RIF were confirmed in 98.5% by LPA if TB isolates were resistant to INH, but were only confirmed in 81.3% if TB isolates were susceptible to INH (p < 0.001). In conclusion, laboratory errors should be considered when investigating discordant results.
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Affiliation(s)
- Carine Bokop
- Division of Medical Microbiology, Department of Laboratory Medicine and Pathology, Faculty of Health Sciences, Walter Sisulu University, Mthatha 5099, Eastern Cape, South Africa
| | - Lindiwe M Faye
- Department of Laboratory Medicine and Pathology, Faculty of Health Sciences and National Health Laboratory Services (NHLS), Walter Sisulu University, Mthatha 5099, Eastern Cape, South Africa
| | - Teke Apalata
- Department of Laboratory Medicine and Pathology, Faculty of Health Sciences and National Health Laboratory Services (NHLS), Walter Sisulu University, Mthatha 5099, Eastern Cape, South Africa
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Zhang R, Ou X, Sun X, Fan G, Zhao B, Tian F, Li F, Shen X, Zhao Y, Ma X. Multiplex LNA probe-based RAP assay for rapid and highly sensitive detection of rifampicin-resistant Mycobacterium tuberculosis. Front Microbiol 2023; 14:1141424. [PMID: 37180280 PMCID: PMC10172479 DOI: 10.3389/fmicb.2023.1141424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 04/11/2023] [Indexed: 05/16/2023] Open
Abstract
Objectives The World Health Organization (WHO) Global tuberculosis Report 2021 stated that rifampicin-resistant tuberculosis (RR-TB) remains a major public health threat. However, the in-practice diagnostic techniques for RR-TB have a variety of limitations including longer time, lack of sensitivity, and undetectable low proportion of heterogeneous drug resistance. Methods Here we developed a multiplex LNA probe-based RAP method (MLP-RAP) for more sensitive detection of multiple point mutations of the RR-TB and its heteroresistance. A total of 126 clinical isolates and 78 sputum samples collected from the National Tuberculosis Reference Laboratory, China CDC, were tested by MLP-RAP assay. In parallel, qPCR and Sanger sequencing of nested PCR product assay were also performed for comparison. Results The sensitivity of the MLP-RAP assay could reach 5 copies/μl using recombinant plasmids, which is 20 times more sensitive than qPCR (100 copies/μl). In addition, the detection ability of rifampicin heteroresistance was 5%. The MLP-RAP assay had low requirements (boiling method) for nucleic acid extraction and the reaction could be completed within 1 h when placed in a fluorescent qPCR instrument. The result of the clinical evaluation showed that the MLP-RAP method could cover codons 516, 526, 531, and 533 with good specificity. 41 out of 78 boiled sputum samples were detected positive by MLP-RAP assay, which was further confirmed by Sanger sequencing of nested PCR product assay, on the contrary, qPCR was able to detect 32 samples only. Compared with Sanger sequencing of nested PCR product assay, both the specificity and sensitivity of the MLP-RAP assay were 100%. Conclusion MLP-RAP assay can detect RR-TB infection with high sensitivity and specificity, indicating that this assay has the prospect of being applied for rapid and sensitive RR-TB detection in general laboratories where fluorescent qPCR instrument is available.
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Affiliation(s)
- Ruiqing Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xichao Ou
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiuli Sun
- Clinical Laboratory, North China University of Science and Technology, Tangshan, China
| | - Guohao Fan
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bing Zhao
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fengyu Tian
- Hebei Key Laboratory of Molecular Medicine, Hebei Medical University, Shijiazhuang, China
| | - Fengyu Li
- Hebei Key Laboratory of Molecular Medicine, Hebei Medical University, Shijiazhuang, China
| | - Xinxin Shen
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanlin Zhao
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xuejun Ma
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
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Owusu W, van Vliet AHM, Riddell NE, Stewart G, Akwani WC, Aryeetey S, Arthur RA, Sylverken AA, Hingley-Wilson SM. A multiplex PCR assay for the differentiation of Mycobacterium tuberculosis complex reveals high rates of mixed-lineage tuberculosis infections among patients in Ghana. Front Cell Infect Microbiol 2023; 13:1125079. [PMID: 37077529 PMCID: PMC10108843 DOI: 10.3389/fcimb.2023.1125079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/17/2023] [Indexed: 04/05/2023] Open
Abstract
In low-resource settings with high tuberculosis (TB) burdens, lack of rapid diagnostic methods for detection and differentiation of Mycobacterium tuberculosis complex (MTBC) is a major challenge affecting TB management. This study utilized comparative genomic analyses of MTBC lineages; M. tuberculosis, M. africanum Lineages 5/6 and M. bovis to identify lineage-specific genes. Primers were designed for the development of a Multiplex PCR assay which was successful in differentiating the MTBC lineages. There was no cross-reaction with other respiratory pathogens tested. Validation of the assay using clinical samples was performed with sputum DNA extracts from 341 clinically confirmed active TB patients. It was observed that 24.9% of cases were caused by M. tuberculosis, while M. africanum L5 & L6 reported 9.0% and 14.4%, respectively. M. bovis infection was the least frequently detected lineage with 1.8%. Also, 27.0% and 17.0% of the cases were PCR negative and unspeciated, respectively. However, mixed-lineage TB infections were recorded at a surprising 5.9%. This multiplex PCR assay will allow speciation of MTBC lineages in low-resource regions, providing rapid differentiation of TB infections to select appropriate medication at the earliest possible time point. It will also be useful in epidemiological surveillance studies providing reliable information on the prevalence of TB lineages as well as identifying difficult to treat cases of mixed-lineage tuberculosis infections.
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Affiliation(s)
- Wellington Owusu
- Department of Microbial Sciences, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Arnoud H. M. van Vliet
- Department of Comparative Biomedical Sciences, School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Natalie E. Riddell
- Department of Biochemical Sciences, School of Biosciences and Medicine, University of Surrey, Guildford, United Kingdom
| | - Graham Stewart
- Department of Microbial Sciences, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Winifred C. Akwani
- Department of Microbial Sciences, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Sherihane Aryeetey
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Rejoice Agyeiwaa Arthur
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Augustina Angelina Sylverken
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- Department of Theoretical and Applied Biology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Suzanne M. Hingley-Wilson
- Department of Microbial Sciences, School of Biosciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
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9
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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.
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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
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10
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Borah Slater K, Kim D, Chand P, Xu Y, Shaikh H, Undale V. A Current Perspective on the Potential of Nanomedicine for Anti-Tuberculosis Therapy. Trop Med Infect Dis 2023; 8:100. [PMID: 36828516 PMCID: PMC9965948 DOI: 10.3390/tropicalmed8020100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/25/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Tuberculosis (TB) is one of the ten infectious diseases that cause the highest amount of human mortality and morbidity. This infection, which is caused by a single pathogen, Mycobacterium tuberculosis, kills over a million people every year. There is an emerging problem of antimicrobial resistance in TB that needs urgent treatment and management. Tuberculosis treatment is complicated by its complex drug regimen, its lengthy duration and the serious side-effects caused by the drugs required. There are a number of critical issues around drug delivery and subsequent intracellular bacterial clearance. Drugs have a short lifespan in systemic circulation, which limits their activity. Nanomedicine in TB is an emerging research area which offers the potential of effective drug delivery using nanoparticles and a reduction in drug doses and side-effects to improve patient compliance with the treatment and enhance their recovery. Here, we provide a minireview of anti-TB treatment, research progress on nanomedicine and the prospects for future applications in developing innovative therapies.
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Affiliation(s)
- Khushboo Borah Slater
- School of Biosciences, Faculty of Health and Microbial Sciences, University of Surrey, Guildford GU27XH, UK
| | - Daniel Kim
- School of Biosciences, Faculty of Health and Microbial Sciences, University of Surrey, Guildford GU27XH, UK
| | - Pooja Chand
- School of Biosciences, Faculty of Health and Microbial Sciences, University of Surrey, Guildford GU27XH, UK
| | - Ye Xu
- School of Biosciences, Faculty of Health and Microbial Sciences, University of Surrey, Guildford GU27XH, UK
| | - Hanif Shaikh
- Department of Pharmacology, Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research Pimpri, Pune 411018, India
- Clinical, Assessment, Regulatory and Evaluation (CARE) Unit, International Vaccine Institute, Seoul 08826, Republic of Korea
| | - Vaishali Undale
- Department of Pharmacology, Dr. D. Y. Patil Institute of Pharmaceutical Sciences and Research Pimpri, Pune 411018, India
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11
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Demographic and Clinical Determinants of Tuberculosis and TB Recurrence: A Double-Edged Retrospective Study from Pakistan. J Trop Med 2022; 2022:4408306. [DOI: 10.1155/2022/4408306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 11/29/2022] Open
Abstract
Objective. TB recurrence is the second episode of TB after initial treatment bringing about an additional 7% load in TB burden intensified by 17.7% of multidrug-resistant recurrent cases. It is necessary to curb recurrence so that attempts to deal with active disease can be made more effective. This study aimed to characterize sociodemographic and clinical factors associated with recurrent TB in a high-burden setting. Methodology. A retrospective case-control study was carried out at two hospitals in Rawalpindi, Pakistan. TB patients and controls were included in the study. Sociodemographic and clinical data were collected by questionnaire from all subjects. Multivariate regression analysis was performed to determine factors associated with TB and TB recurrence respectively. Results. In our study cohort, factors significantly associated with TB were low BMI (OR: 0.961 (CI 0.954–0.968),
), female gender (OR: 2.065 (CI 1.922–2.219),
), being single/unmarried (OR: 1.214 (CI 1.109–1.328),
), middle-income status (OR: 1.935 (CI 1.616–2.323),
), smoking (OR: 1.567 (CI 1.435–1.710),
), and diabetes mellitus (OR: 1.142 (CI 1.017–1.278),
). TB recurrence constituted 11.2% of patients presenting to the hospital. Compared with the first episode of TB, cases with recurrence were more likely to be older (OR: 1.011 (CI 1.004–1.017),
), have disease awareness (OR: 1.906 (CI 1.486–2.437),
), smear positive (OR: 2.384 (CI 1.650–3.536),
), and be drug-resistant (OR: 5.615 (CI 4.265–7.386),
). Conclusion. In the present study cohort, low BMI, female gender, being single, middle-income status, being unemployed, smoking, and being diabetic came out to be the sociodemographic and clinical risk factors for TB. Further exploring the TB cases increasing age, drug resistance and smear positivity stood out to be the major sociodemographic and clinical factors of TB recurrence despite high disease awareness.
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12
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Singh A, Zhao X, Drlica K. Fluoroquinolone heteroresistance, antimicrobial tolerance, and lethality enhancement. Front Cell Infect Microbiol 2022; 12:938032. [PMID: 36250047 PMCID: PMC9559723 DOI: 10.3389/fcimb.2022.938032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/21/2022] [Indexed: 11/13/2022] Open
Abstract
With tuberculosis, the emergence of fluoroquinolone resistance erodes the ability of treatment to interrupt the progression of MDR-TB to XDR-TB. One way to reduce the emergence of resistance is to identify heteroresistant infections in which subpopulations of resistant mutants are likely to expand and make the infections fully resistant: treatment modification can be instituted to suppress mutant enrichment. Rapid DNA-based detection methods exploit the finding that fluoroquinolone-resistant substitutions occur largely in a few codons of DNA gyrase. A second approach for restricting the emergence of resistance involves understanding fluoroquinolone lethality through studies of antimicrobial tolerance, a condition in which bacteria fail to be killed even though their growth is blocked by lethal agents. Studies with Escherichia coli guide work with Mycobacterium tuberculosis. Lethal action, which is mechanistically distinct from blocking growth, is associated with a surge in respiration and reactive oxygen species (ROS). Mutations in carbohydrate metabolism that attenuate ROS accumulation create pan-tolerance to antimicrobials, disinfectants, and environmental stressors. These observations indicate the existence of a general death pathway with respect to stressors. M. tuberculosis displays a variation on the death pathway idea, as stress-induced ROS is generated by NADH-mediated reductive stress rather than by respiration. A third approach, which emerges from lethality studies, uses a small molecule, N-acetyl cysteine, to artificially increase respiration and additional ROS accumulation. That enhances moxifloxacin lethality with M. tuberculosis in culture, during infection of cultured macrophages, and with infection of mice. Addition of ROS stimulators to fluoroquinolone treatment of tuberculosis constitutes a new direction for suppressing the transition of MDR-TB to XDR-TB.
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Affiliation(s)
- Amit Singh
- Department of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, India
- Centre for Infectious Disease Research, Indian Institute of Science, Bangalore, India
- *Correspondence: Amit Singh, ; Karl Drlica,
| | - Xilin Zhao
- Public Health Research Institute and Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School, Rutgers Biomedical and Health Sciences, Rutgers University, Newark, NJ, United States
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
| | - Karl Drlica
- Public Health Research Institute and Department of Microbiology, Biochemistry and Molecular Genetics, New Jersey Medical School, Rutgers Biomedical and Health Sciences, Rutgers University, Newark, NJ, United States
- *Correspondence: Amit Singh, ; Karl Drlica,
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13
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MGIT sensitivity testing and genotyping of drug resistant Mycobacterium tuberculosis isolates from Mizoram, Northeast India. Indian J Med Microbiol 2022; 40:347-353. [PMID: 35760644 DOI: 10.1016/j.ijmmb.2022.06.003] [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: 01/19/2022] [Revised: 05/17/2022] [Accepted: 06/13/2022] [Indexed: 11/23/2022]
Abstract
PURPOSE Tuberculosis, a crucial infectious disease is still a health concern globally. India is among the countries with high MDR-TB burden. Currently, sputum smear microscopy using Ziehl Neelsen stain and GeneXpert are the only diagnostic means in Mizoram. This study was done to characterize local tuberculosis strains circulating in Mizoram. METHODS Sputum was cultured using MGIT 960 and DST was performed for Streptomycin, Isoniazid, Rifampicin, Ethambutol and Pyrazinamide. GeneXpert test was done simultaneously. DNA was extracted using Trueprep AUTO v2, molbio diagnostics. Antibiotic Resistance Genes and LSP were amplified and sequenced. RESULTS Ser315Thr was the most common mutation in katG among MDR-TB isolates. GeneXpert probes A and D drop out upon sequencing showed L511P, H526Q and H526L mutation. The L511P and H526Q mutations were seen in new and treated cases. Discrepancy between MGIT 960 and GeneXpert were observed. LSP-PCR revealed that Indo-Oceanic, East-African Indian, Euro-American and Beijing lineages were found in Mizoram. CONCLUSION This study provides mutation information on the resistant genotypes detected with GeneXpert as well as MGIT 960. It also provides information on the lineages of Mycobacterium tuberculosis circulating in the state. Utilization of sequencing technologies is essential in diagnostic laboratories to rule out discrepant results and as a cautionary measure to prevent wrong diagnosis and treatment.
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14
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Getahun M, Ameni G, Mollalign H, Diriba G, Beyene D. Genotypic and phenotypic drug-resistance detection and prevalence of heteroresistance in patients with isoniazid- and multidrug-resistant tuberculosis in Ethiopia. IJID REGIONS 2022; 2:149-153. [PMID: 35757078 PMCID: PMC9216396 DOI: 10.1016/j.ijregi.2021.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/28/2021] [Accepted: 12/19/2021] [Indexed: 11/25/2022]
Abstract
Objective To assess the agreement between genotypic and phenotypic methods for detecting drug resistance, and examine the prevalence of heteroresistance among isoniazid (INH)- and multidrug/rifampicin-resistant (MDR/RR) TB. Method In total, 127 Mycobacterium tuberculosis (Mtb) isolates, including 65 MDR/RR and 62 INH resistant, were used. First-line drug susceptibility testing (DST) was performed using the LJ method to determine the percentage of resistant bacteria. All drug-resistant isolates underwent testing with LPA. Heteroresistance was defined as simultaneous detection of wild-type and resistance-conferring mutations using LPA. Result The sensitivity of LPA (compared with LJ DST) was 96% for any INH-resistant TB and 94% for any RR TB. The prevalence of heteroresistance among the 123. Mtb isolates was 9.8%. The percentage of resistant bacteria ranged from 1% to 10% for heteroresistant TB. Rifampicin heteroresistance was detected in 1.6% of MDR TB patients. INH heteroresistance was detected in 1.6% and 16.7% of MDR and INH-resistant TB patients, respectively. The proportion of INH heteroresistance was significantly higher (p = 0.030) in persons living with HIV. Conclusion Some phenotypic drug resistances were not captured by LPA. The prevalence and percentage of resistant bacteria among heteroresistant TB highlight the importance of LPA for early detection of heteroresistant TB.
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Affiliation(s)
- Muluwork Getahun
- Ethiopian Public Health Institute
- Addis Ababa University, Department of Microbial, Cellular, and Molecular Biology
| | - Gobena Ameni
- Aklilu Lemma Institute of Pathobiology, Addis Ababa University, PO Box 1176, Addis Ababa, Ethiopia
- Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, United Arab Emirates University, PO Box 15551, Al Ain, United Arab Emirates University
| | | | | | - Dereje Beyene
- Addis Ababa University, Department of Microbial, Cellular, and Molecular Biology
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15
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Systematic review and meta-analysis of environmental Vibrio species - antibiotic resistance. Heliyon 2022; 8:e08845. [PMID: 35265752 PMCID: PMC8899705 DOI: 10.1016/j.heliyon.2022.e08845] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 03/09/2021] [Accepted: 01/24/2022] [Indexed: 01/30/2023] Open
Abstract
Adequate comprehension of the genomics of microbial resistance to an antimicrobial agent will advance knowledge on the management of associated pathologies and public health safety. However, continued emergences and reemergence of pathogens, including Vibrio species, hallmarks a potential knowledge gap. A clear understanding of the process and forecast of the next trend should be in place to nip in the bud, microbial acquisition of resistance to antibiotics. Therefore, this two-decade (1 January 2000 to 31 December 2019) systematic review and meta-analytical study articulated the prevalence and incidence of antibiotics resistance genes in Vibrio species isolated from environmental samples. Articles from the Web of Science and PubMed electronic databases was engaged. Heterogeneity of the data and bias were analyzed with random effect model meta-analysis and funnel plot. A total of 1920 Vibrio sp. were reported by the ten selected articles included in this study; out of which 32.39% of identified isolates displayed antimicrobial resistance and associated genes. The distribution of antibiotics resistance genes in Vibrio sp., reported within six countries was 21% tetracycline (tet), and 20% sulphonamide (sul) and β-lactamase (bla) respectively. The quinolone, tetracycline and sulfonamide resistance genes showed 32.97% (95% CI 0.18–0.53) prevalence while chloramphenicol, macrolides and aminoglycoside resistance genes are expressed in percentages as 28.67% (95% CI 0.15–0.47) and β-lactamase resistance genes 27.93% (95% CI 0.11–0.56) respectively. The Vibrio antibiotics resistance genes (V-ARG) distribution depicts no regular trend or pattern from the analyzed data. Consequently, more studies would be required to articulate the structure of cohesion in the distribution of the resistance determinants in microbes.
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16
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Micheni LN, Kassaza K, Kinyi H, Ntulume I, Bazira J. Detection of Mycobacterium tuberculosis multiple strains in sputum samples from patients with pulmonary tuberculosis in south western Uganda using MIRU-VNTR. Sci Rep 2022; 12:1656. [PMID: 35102181 PMCID: PMC8803872 DOI: 10.1038/s41598-022-05591-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 01/11/2022] [Indexed: 11/25/2022] Open
Abstract
Infections with multiple strains of Mycobacterium tuberculosis are now widely recognized as a common occurrence. Identification of patients infected with multiple strains provides both insight into the disease dynamics and the epidemiology of tuberculosis. Analysis of Mycobacterial Interspersed Repetitive Unit-Variable-Number Tandem Repeats (MIRU-VNTR) has been shown to be highly sensitive in detecting multiple M. tuberculosis strains even in sputum. The goal of this study was to identify cases of multiple M. tuberculosis strain infections among patients diagnosed with pulmonary tuberculosis in Southwestern Uganda and assessment of factors associated with multiple strain infections. DNA extracted directly from 78 sputum samples, each from an individual patient, was analyzed using the standard 24 loci MIRU-VNTR typing. Five (6.4%) of the 78 patients were infected with multiple strains of M. tuberculosis with all of them being the newly diagnosed cases while two-thirds of them were co-infected with HIV. Exact regression analysis projected that the natives were more likely to harbor multiple strains (OR; 0.981, 95% CI 0–7.926) as well as those with a high microbial load (OR; 0.390, 95% CI 0–3.8167). Despite these findings being not statistically significant due to the small sample size, this points to a critical component of disease dynamics that has clinical implications and emphasizes a need for a study using a larger cohort. It is also essential to study the potential factors associated with higher risk of exposure to newly diagnosed and HIV positive patients at the community level. In addition, our ability to detect multiple M. tuberculosis strains using the standard 24 loci MIRU-VNTR typing especially with allelic diversity in loci 2059 and 3171, which are excluded from the 15-locus MIRU-VNTR, lead us to recommend the use of this genotyping technique, especially in areas with tuberculosis endemicity similar to this study.
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Affiliation(s)
- Lisa Nkatha Micheni
- Department of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda. .,Department of Microbiology and Immunology, Kampala International University Western Campus, Box 71, Bushenyi, Uganda.
| | - Kennedy Kassaza
- Department of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda
| | - Hellen Kinyi
- Department of Biochemistry, School of Medicine, Kabale University, Box 317, Kabale, Uganda
| | - Ibrahim Ntulume
- Department of Microbiology and Immunology, Kampala International University Western Campus, Box 71, Bushenyi, Uganda
| | - Joel Bazira
- Department of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda.
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17
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Investigation on the cause of recurrent tuberculosis in a rural area in China using whole-genome sequencing: A retrospective cohort study. Tuberculosis (Edinb) 2022; 133:102174. [DOI: 10.1016/j.tube.2022.102174] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/25/2022] [Accepted: 01/30/2022] [Indexed: 11/17/2022]
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18
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Asgharzadeh M, Taghinejad Z, Mahdavipoor B, Asgharzadeh V, Kafil HS, Rashedi J. Mixed tuberculosis infections in Northwest of Iran. LE INFEZIONI IN MEDICINA 2021; 29:583-588. [PMID: 35146368 PMCID: PMC8805470 DOI: 10.53854/liim-2904-12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 10/17/2021] [Indexed: 06/14/2023]
Abstract
Primary Mycobacterium tuberculosis (MTB) infection doesn't provide protection against secondary infection and patients can suffer from multiple strains of M. tuberculosis simultaneously. The aim of this study was to use molecular genotyping to identify cases of mixed infection in Northwest of Iran. One hundred and twenty-one positive culture isolates of M. tuberculosis were prepared from patients consecutively in Northwest of Iran from March 2017 to March 2018 and then microevolution and mix infection were assessed using the mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) method. MIRU-VNTR analysis revealed that nine samples (7.3%) had double alleles in at least one locus, as observed by five cases of microevolution, and four cases (3.3%) of mixed infection. According to this study, mixed infection in Northwest of Iran has significantly decreased compared to 13 years ago (7.1% decreased to 3.3%), and in order to eradicate tuberculosis it is necessary to identify all cases of mixed infection, at least in recurrent cases, in the future.
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Affiliation(s)
- Mohammad Asgharzadeh
- Biotechnology Research Center and Faculty of Paramedicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Zahra Taghinejad
- Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Behroz Mahdavipoor
- Department of Laboratory Sciences, Faculty of Paramedicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Vahid Asgharzadeh
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hossein Samadi Kafil
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jalil Rashedi
- Tuberculosis and Lung Disease Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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19
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Tabone O, Verma R, Singhania A, Chakravarty P, Branchett WJ, Graham CM, Lee J, Trang T, Reynier F, Leissner P, Kaiser K, Rodrigue M, Woltmann G, Haldar P, O'Garra A. Blood transcriptomics reveal the evolution and resolution of the immune response in tuberculosis. J Exp Med 2021; 218:212624. [PMID: 34491266 PMCID: PMC8493863 DOI: 10.1084/jem.20210915] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 07/08/2021] [Accepted: 08/05/2021] [Indexed: 12/02/2022] Open
Abstract
Blood transcriptomics have revealed major characteristics of the immune response in active TB, but the signature early after infection is unknown. In a unique clinically and temporally well-defined cohort of household contacts of active TB patients that progressed to TB, we define minimal changes in gene expression in incipient TB increasing in subclinical and clinical TB. While increasing with time, changes in gene expression were highest at 30 d before diagnosis, with heterogeneity in the response in household TB contacts and in a published cohort of TB progressors as they progressed to TB, at a bulk cohort level and in individual progressors. Blood signatures from patients before and during anti-TB treatment robustly monitored the treatment response distinguishing early and late responders. Blood transcriptomics thus reveal the evolution and resolution of the immune response in TB, which may help in clinical management of the disease.
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Affiliation(s)
- Olivier Tabone
- Laboratory of Immunoregulation and Infection, The Francis Crick Institute, London, UK
| | - Raman Verma
- Department of Respiratory Sciences, National Institute for Health Research Respiratory Biomedical Research Centre, University of Leicester, UK
| | - Akul Singhania
- Laboratory of Immunoregulation and Infection, The Francis Crick Institute, London, UK
| | | | - William J Branchett
- Laboratory of Immunoregulation and Infection, The Francis Crick Institute, London, UK
| | - Christine M Graham
- Laboratory of Immunoregulation and Infection, The Francis Crick Institute, London, UK
| | - Jo Lee
- Department of Respiratory Sciences, National Institute for Health Research Respiratory Biomedical Research Centre, University of Leicester, UK
| | - Tran Trang
- Bioaster Microbiology Technology Institute, Lyon, France
| | | | | | - Karine Kaiser
- Medical Diagnostic Discovery Department, bioMérieux SA, Marcy l'Etoile, France
| | - Marc Rodrigue
- Global Medical Affairs, bioMérieux SA, Marcy l'Etoile, France
| | - Gerrit Woltmann
- Department of Respiratory Sciences, National Institute for Health Research Respiratory Biomedical Research Centre, University of Leicester, UK
| | - Pranabashis Haldar
- Department of Respiratory Sciences, National Institute for Health Research Respiratory Biomedical Research Centre, University of Leicester, UK
| | - Anne O'Garra
- Laboratory of Immunoregulation and Infection, The Francis Crick Institute, London, UK.,National Heart and Lung Institute, Imperial College London, London, UK
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20
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Baik Y, Modongo C, Moonan PK, Click ES, Tobias JL, Boyd R, Finlay A, Oeltmann JE, Shin SS, Zetola NM. Possible Transmission Mechanisms of Mixed Mycobacterium tuberculosis Infection in High HIV Prevalence Country, Botswana. Emerg Infect Dis 2021; 26:953-960. [PMID: 32310078 PMCID: PMC7181944 DOI: 10.3201/eid2605.191638] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Tuberculosis caused by concurrent infection with multiple Mycobacteriumtuberculosis strains (i.e., mixed infection) challenges clinical and epidemiologic paradigms. We explored possible transmission mechanisms of mixed infection in a population-based, molecular epidemiology study in Botswana during 2012–2016. We defined mixed infection as multiple repeats of alleles at >2 loci within a discrete mycobacterial interspersed repetitive unit–variable-number tandem-repeat (MIRU-VNTR) result. We compared mixed infection MIRU-VNTR results with all study MIRU-VNTR results by considering all permutations at each multiple allele locus; matched MIRU-VNTR results were considered evidence of recently acquired strains and nonmatched to any other results were considered evidence of remotely acquired strains. Among 2,051 patients, 34 (1.7%) had mixed infection, of which 23 (68%) had recently and remotely acquired strains. This finding might support the mixed infection mechanism of recent transmission and simultaneous remote reactivation. Further exploration is needed to determine proportions of transmission mechanisms in settings where mixed infections are prevalent.
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21
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Moreno-Molina M, Shubladze N, Khurtsilava I, Avaliani Z, Bablishvili N, Torres-Puente M, Villamayor L, Gabrielian A, Rosenthal A, Vilaplana C, Gagneux S, Kempker RR, Vashakidze S, Comas I. Genomic analyses of Mycobacterium tuberculosis from human lung resections reveal a high frequency of polyclonal infections. Nat Commun 2021; 12:2716. [PMID: 33976135 PMCID: PMC8113332 DOI: 10.1038/s41467-021-22705-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 03/22/2021] [Indexed: 01/15/2023] Open
Abstract
Polyclonal infections occur when at least two unrelated strains of the same pathogen are detected in an individual. This has been linked to worse clinical outcomes in tuberculosis, as undetected strains with different antibiotic resistance profiles can lead to treatment failure. Here, we examine the amount of polyclonal infections in sputum and surgical resections from patients with tuberculosis in the country of Georgia. For this purpose, we sequence and analyse the genomes of Mycobacterium tuberculosis isolated from the samples, acquired through an observational clinical study (NCT02715271). Access to the lung enhanced the detection of multiple strains (40% of surgery cases) as opposed to just using a sputum sample (0-5% in the general population). We show that polyclonal infections often involve genetically distant strains and can be associated with reversion of the patient's drug susceptibility profile over time. In addition, we find different patterns of genetic diversity within lesions and across patients, including mutational signatures known to be associated with oxidative damage; this suggests that reactive oxygen species may be acting as a selective pressure in the granuloma environment. Our results support the idea that the magnitude of polyclonal infections in high-burden tuberculosis settings is underestimated when only testing sputum samples.
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MESH Headings
- Antitubercular Agents/therapeutic use
- Biopsy
- Clone Cells
- Cohort Studies
- Drug Resistance, Multiple, Bacterial/genetics
- Genetic Variation
- Genome, Bacterial
- Georgia (Republic)
- Granuloma/drug therapy
- Granuloma/microbiology
- Granuloma/pathology
- Granuloma/surgery
- Humans
- Lung/microbiology
- Lung/pathology
- Lung/surgery
- Mycobacterium tuberculosis/classification
- Mycobacterium tuberculosis/drug effects
- Mycobacterium tuberculosis/genetics
- Mycobacterium tuberculosis/pathogenicity
- Reactive Oxygen Species/metabolism
- Sputum/microbiology
- Tuberculosis, Multidrug-Resistant/drug therapy
- Tuberculosis, Multidrug-Resistant/microbiology
- Tuberculosis, Multidrug-Resistant/pathology
- Tuberculosis, Multidrug-Resistant/surgery
- Tuberculosis, Pulmonary/drug therapy
- Tuberculosis, Pulmonary/microbiology
- Tuberculosis, Pulmonary/pathology
- Tuberculosis, Pulmonary/surgery
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Affiliation(s)
| | - Natalia Shubladze
- National Center for Tuberculosis and Lung Diseases of Georgia, Tbilisi, Georgia
| | - Iza Khurtsilava
- National Center for Tuberculosis and Lung Diseases of Georgia, Tbilisi, Georgia
| | - Zaza Avaliani
- National Center for Tuberculosis and Lung Diseases of Georgia, Tbilisi, Georgia
| | - Nino Bablishvili
- National Center for Tuberculosis and Lung Diseases of Georgia, Tbilisi, Georgia
| | | | | | - Andrei Gabrielian
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, U.S. Department of Health and Human Services, Maryland, USA
| | - Alex Rosenthal
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, U.S. Department of Health and Human Services, Maryland, USA
| | - Cristina Vilaplana
- Fundació Institut Germans Trias i Pujol (IGTP), Barcelona, Spain
- Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
- CIBER of Respiratory Diseases, Madrid, Spain
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Russell R Kempker
- Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, USA
| | - Sergo Vashakidze
- National Center for Tuberculosis and Lung Diseases of Georgia, Tbilisi, Georgia
| | - Iñaki Comas
- Instituto de Biomedicina de Valencia IBV-CSIC, Valencia, Spain.
- CIBER in Epidemiology and Public Health, Madrid, Spain.
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22
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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.
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23
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Vega V, Rodríguez S, Van der Stuyft P, Seas C, Otero L. Recurrent TB: a systematic review and meta-analysis of the incidence rates and the proportions of relapses and reinfections. Thorax 2021; 76:494-502. [PMID: 33547088 DOI: 10.1136/thoraxjnl-2020-215449] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 12/07/2020] [Accepted: 12/09/2020] [Indexed: 11/03/2022]
Abstract
BACKGROUND A recurrent tuberculosis (TB) episode results from exogenous reinfection or relapse after cure. The use of genotyping allows the distinction between both. METHODS We did a systematic review and meta-analysis, using four databases to search for studies in English, French and Spanish published between 1 January 1980 and 30 September 2020 that assessed recurrences after TB treatment success and/or differentiated relapses from reinfections using genotyping. We calculated person years of follow-up and performed random-effects model meta-analysis for estimating pooled recurrent TB incidence rates and proportions of relapses and reinfections. We performed subgroup analyses by clinical-epidemiological factors and by methodological study characteristics. FINDINGS The pooled recurrent TB incidence rate was 2.26 per 100 person years at risk (95% CI 1.87 to 2.73; 145 studies). Heterogeneity was high (I2=98%). Stratified pooled recurrence rates increased from 1.47 (95% CI 0.87 to 2.46) to 4.10 (95% CI 2.67 to 6.28) per 100 person years for studies conducted in low versus high TB incidence settings. Background HIV prevalence, treatment drug regimen, sample size and duration of follow-up contributed too. The pooled proportion of relapses was 70% (95% CI 63% to 77%; I²=85%; 48 studies). Heterogeneity was determined by background TB incidence, as demonstrated by pooled proportions of 83% (95% CI 75% to 89%) versus 59% (95% CI 42% to 74%) relapse for studies from settings with low versus high TB incidence, respectively. INTERPRETATION The risk of recurrent TB is substantial and relapse is consistently the most frequent form of recurrence. Notwithstanding, with increasing background TB incidence the proportion of reinfections increases and the predominance of relapses among recurrences decreases. PROSPERO REGISTRATION NUMBER CRD42018077867.
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Affiliation(s)
- Victor Vega
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Sharon Rodríguez
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Patrick Van der Stuyft
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium
| | - Carlos Seas
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
- Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Larissa Otero
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Peru
- Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru
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24
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Chen Y, Ji L, Liu Q, Li J, Hong C, Jiang Q, Gan M, Takiff HE, Yu W, Tan W, Gao Q. Lesion Heterogeneity Coincides With Long-Term Heteroresistance in MDR-TB. J Infect Dis 2021; 224:889-893. [PMID: 33433601 DOI: 10.1093/infdis/jiab011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 01/11/2021] [Indexed: 11/12/2022] Open
Abstract
Tuberculosis (TB) heteroresistance, in which only a fraction of the bacteria in a TB patient contains drug-resistant mutations, has been a rising concern. However, its origins and prevalence remain elusive. Here, whole-genome sequencing was performed on 83 serial isolates from 31 MDR-TB patients and heteroresistance was detected in isolates from 21 (67.74%) patients. Heteroresistance persisted in the host for long periods, spanning months to years, and was associated with having multiple tubercular lesions. Our findings indicate that heteroresistance is common and persistent in MDR-TB patients and may affect the success of their treatment regimens.
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Affiliation(s)
- Yiwang Chen
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College and Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.,Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Lecai Ji
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Qingyun Liu
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College and Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.,Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jinli Li
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Chuangyue Hong
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Qi Jiang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College and Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.,Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Mingyu Gan
- Molecular Medical Center, Children's Hospital of Fudan University, Shanghai, China
| | - Howard E Takiff
- Integrated Mycobacterial Pathogenomics Unit, Institut Pasteur, Paris, France.,Department of Tuberculosis Control and Prevention, Shenzhen Nanshan Centre for Chronic Disease Control, Shenzhen, China.,Instituto Venezolano de Investigaciones Cientificas, Caracas, Venezuela
| | - Weiye Yu
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Weiguo Tan
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Qian Gao
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Sciences, Shanghai Medical College and Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.,Shenzhen Center for Chronic Disease Control, Shenzhen, China
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25
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Sultana ZZ, Hoque FU, Beyene J, Akhlak-Ul-Islam M, Khan MHR, Ahmed S, Hawlader DH, Hossain A. HIV infection and multidrug resistant tuberculosis: a systematic review and meta-analysis. BMC Infect Dis 2021; 21:51. [PMID: 33430786 PMCID: PMC7802168 DOI: 10.1186/s12879-020-05749-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 12/27/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Multidrug-resistant tuberculosis (MDR-TB) in HIV infected individuals is a serious threat to global efforts to combat tuberculosis. Inconsistent findings on the association between HIV infection and MDR-TB were present in many studies. We aimed to review existing data on the relationship between HIV infection and MDR-TB systematically to assess the contribution of HIV on MDR-TB worldwide. We also investigated the patterns of MDR-TB by age, country-wise income, study designs, and global regions. METHODS We utilized PubMed, Google Scholar, and ScienceDirect databases to select eligible studies for meta-analysis that were published between January 12,010, and July 30, 2020. The random-effects model was used to obtain the pooled odds ratio of the crude association between HIV and MDR-TB with a 95% confidence interval. We investigated the potential publication-bias by checking funnel plot asymmetry and using the Egger's test. Moreover, we assessed the heterogeneity using the I2 statistic. Sensitivity analysis was performed based on sample size and adjustment factors. The protocol was registered with PROSPERO-CRD42019132752. RESULTS We identified 1603 studies through a database search, and after subsequent eliminations we selected 54 studies including 430,534 TB patients. The pooled odds of MDR-TB was 1.42 times higher in HIV-positive patients than HIV-negative patients (OR=1.42,CI=1.17-1.71, I2=75.8%). Subgroup analysis revealed that the estimated pooled odds for South-East Asian countries was 1.86, which is the highest in WHO regions (OR=1.86,CI=1.30-2.67, I2=0.00%), followed by Europe and Africa. The effect estimate was found to be higher for primary MDR-TB (OR=2.76,CI=1.70-4.46, I2=0.00%). There was also a trend towards increased odds of MDR-TB for HIV patients older than 40 years (OR=1.56,CI=1.17-2.06). The association was found to be significant in high-burden TB countries (OR=1.75, CI=1.39-2.19) and in high-income countries (OR=1.55, CI=1.06-2.27). CONCLUSION Such findings indicate that HIV infection raises the risk of MDR-TB, and after contrasting it with the results of the earlier pooled study, it appeared to be an upward risk trend. Moreover, we found that the risk is the highest in the South-East Asian region. A balanced allocation of resources is needed to halt both primary and secondary MDR-TB, particularly in HIV infected people with 40 years of age and older.
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Affiliation(s)
- Zeeba Zahra Sultana
- CAPABLE- A Cambridge-led program in Bangladesh, University of Cambridge, Cambridge, UK
| | - Farhana Ul Hoque
- Department of Public Health, North South University, Dhaka, Bangladesh
| | - Joseph Beyene
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Md Akhlak-Ul-Islam
- Department of Hematology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
| | | | - Shakil Ahmed
- Global Health Institute, North South University, Dhaka, Bangladesh
| | | | - Ahmed Hossain
- Department of Public Health, North South University, Dhaka, Bangladesh. .,Global Health Institute, North South University, Dhaka, Bangladesh. .,Health Management BD Foundation, Dhaka, Bangladesh.
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26
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Asare-Baah M, Séraphin MN, Salmon LAT, Lauzardo M. Effect of mixed strain infections on clinical and epidemiological features of tuberculosis in Florida. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2021; 87:104659. [PMID: 33276149 PMCID: PMC7855629 DOI: 10.1016/j.meegid.2020.104659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 11/18/2020] [Accepted: 11/29/2020] [Indexed: 10/22/2022]
Abstract
Mixed infections with genetically distinct Mycobacterium tuberculosis (MTB) strains within a single host have been documented in different settings; however, this phenomenon is rarely considered in the management and care of new and relapse tuberculosis (T.B.) cases. This study aims to establish the epidemiological and clinical features of mixed infections among culture-confirmed T.B. patients enrolled in tuberculosis care at the Florida Department of Health (FDOH) and measure its association with T.B. mortality. We analyzed de-identified surveillance data of T.B. cases enrolled in T.B. care from April 2008 to January 2018. Mixed MTB infection was determined by the presence of more than one Copy Number Variant (CNV) in at least one locus, based on the genotype profile pattern of at least one isolate using 24-locus Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem Repeat (MIRU-VNTR). The prevalence of mixed MTB infections among the 4944 culture-confirmed TB cases included in this analysis was 2.6% (129). Increased odds of mixed infections were observed among middle-aged patients, 45-64 years (AOR = 2.38; 95% CI: 0.99, 5.69; p = 0.0513), older adults 65 years and above (AOR = 3.95; 95% CI: 1.63, 9.58; p = 0.0023) and patients with diabetes (OR = 1.77; 95% CI: 1.12, 2.80; p = 0.0150). There was no significant association between mixed infections and death. Our study provides insight into the epidemiological and clinical characteristics of patients with mixed MTB infections, which is essential in the management of T.B. patients.
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Affiliation(s)
- Michael Asare-Baah
- Department of Epidemiology, University of Florida, College of Public Health and Health Professions, College of Medicine, 2004 Mowry Road, P.O. Box 100231, Gainesville, FL 32610, United States; Emerging Pathogens Institute, University of Florida, 2055 Mowry Road, P.O. Box 100009, Gainesville, FL 32610, United States.
| | - Marie Nancy Séraphin
- Emerging Pathogens Institute, University of Florida, 2055 Mowry Road, P.O. Box 100009, Gainesville, FL 32610, United States; Division of Infectious Diseases and Global Medicine, University of Florida, College of Medicine, 2055 Mowry Road, P.O. Box 103600, Gainesville, FL 32610, United States
| | - LaTweika A T Salmon
- Florida Department of Health, Bureau of Tuberculosis Control, 4052 Bald Cypress Way, Bin A-20, Tallahassee, FL 32399, United States
| | - Michael Lauzardo
- Emerging Pathogens Institute, University of Florida, 2055 Mowry Road, P.O. Box 100009, Gainesville, FL 32610, United States; Division of Infectious Diseases and Global Medicine, University of Florida, College of Medicine, 2055 Mowry Road, P.O. Box 103600, Gainesville, FL 32610, United States
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27
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Byrne AS, Goudreau A, Bissonnette N, Shamputa IC, Tahlan K. Methods for Detecting Mycobacterial Mixed Strain Infections-A Systematic Review. Front Genet 2020; 11:600692. [PMID: 33408740 PMCID: PMC7779811 DOI: 10.3389/fgene.2020.600692] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 11/19/2020] [Indexed: 12/22/2022] Open
Abstract
Mixed strain infection (MSI) refers to the concurrent infection of a susceptible host with multiple strains of a single pathogenic species. Known to occur in humans and animals, MSIs deserve special consideration when studying transmission dynamics, evolution, and treatment of mycobacterial diseases, notably tuberculosis in humans and paratuberculosis (or Johne's disease) in ruminants. Therefore, a systematic review was conducted to examine how MSIs are defined in the literature, how widespread the phenomenon is across the host species spectrum, and to document common methods used to detect such infections. Our search strategy identified 121 articles reporting MSIs in both humans and animals, the majority (78.5%) of which involved members of the Mycobacterium tuberculosis complex, while only a few (21.5%) examined non-tuberculous mycobacteria (NTM). In addition, MSIs exist across various host species, but most reports focused on humans due to the extensive amount of work done on tuberculosis. We reviewed the strain typing methods that allowed for MSI detection and found a few that were commonly employed but were associated with specific challenges. Our review notes the need for standardization, as some highly discriminatory methods are not adapted to distinguish between microevolution of one strain and concurrent infection with multiple strains. Further research is also warranted to examine the prevalence of NTM MSIs in both humans and animals. In addition, it is envisioned that the accurate identification and a better understanding of the distribution of MSIs in the future will lead to important information on the epidemiology and pathophysiology of mycobacterial diseases.
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Affiliation(s)
| | - Alex Goudreau
- Science & Health Sciences Librarian, University of New Brunswick, Saint John, NB, Canada
| | - Nathalie Bissonnette
- Sherbrooke Research and Development Center, Agriculture and Agri-Food Canada, Sherbrooke, QC, Canada
| | - Isdore Chola Shamputa
- Department of Nursing & Health Sciences, University of New Brunswick, Saint John, NB, Canada
| | - Kapil Tahlan
- Department of Biology, Memorial University of Newfoundland, St. John's, NL, Canada
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28
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Mycobacterium tuberculosis polyclonal infections through treatment and recurrence. PLoS One 2020; 15:e0237345. [PMID: 32813724 PMCID: PMC7437862 DOI: 10.1371/journal.pone.0237345] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 07/23/2020] [Indexed: 12/02/2022] Open
Abstract
Background Mixed/polyclonal infections due to different genotypes are reported in Tuberculosis. The current study was designed to understand the fate of mixed infections during the course of treatment and follow-up and its role in disease pathogenesis. Methods Sputum samples were collected on 0,1,2,3,6,12 and 24 months from 157 treatment-naïve patients, cultures subjected to Drug-Susceptibility-testing (MGIT 960), spoligotyping, MIRU-VNTR and SNP genotyping. All isolated colonies on thin layer agar (7H11) were subjected to spoligotyping. Findings One thirty three baseline cultures were positive (133/157, 84.7%), 43(32.3%) had mixture of genotypes. Twenty-four of these patients (55.8%) showed change in genotype while six showed different drug-susceptibility patterns while on treatment. Twenty-three (53.5%) patients with polyclonal infections showed resistance to at least one drug compared to 10/90 (11.1%) monoclonal infections (P<0.0001). Eight patients had recurrent TB, two with a new genotype and two with altered phenotypic DST. Conclusions The coexistence of different genotypes and change of genotypes during the same disease episode, while on treatment, confirms constancy of polyclonal infections. The composition of the mixture of genotypes and the relative predominance may be missed by culture due to its limit of detection. Polyclonal infections in TB could be a rule rather than exception and challenges the age-old dogma of reactivation/reinfection.
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29
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Population structure and genetic diversity of Trichomonas vaginalis clinical isolates in Australia and Ghana. INFECTION GENETICS AND EVOLUTION 2020; 82:104318. [PMID: 32278146 DOI: 10.1016/j.meegid.2020.104318] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 04/05/2020] [Accepted: 04/07/2020] [Indexed: 12/30/2022]
Abstract
Population genetic studies of Trichomonas vaginalis have detected high genetic diversity associated with phenotypic differences in clinical presentations. In this study, microscopy and next generation-multi-locus sequence typing (NG-MLST) were used to identify and genetically characterise T. vaginalis isolates from patients in Australia and Ghana. Seventy-one polymorphic nucleotide sites, 36 different alleles, 48 sequence types, 24 of which were novel, were identified among 178 isolates, revealing a geneticallly diverse T. vaginalis population. Polymorphism was found at most loci, clustering genotypes into eight groups among both Australian and Ghanaian isolates, although there was some variation between countries. The number of alleles for each locus ranged from two to nine. Study results confirmed geographic expansion and diversity of the T. vaginalis population. Two-type populations in almost equal frequencies and a third unassigned group were identified in this study. Linkage disequilibrium was observed, suggesting T. vaginalis population is highly clonal. Multillocus disequilibrium was observed even when analysing clades separately, as well as widespread clonal genotypes, suggesting that there is no evidence of recent recombination. A more comprehensive study to assess the extent of genetic diversity and population structure of T. vaginalis and their potential impact on varied pathology observed among infected individuals is recommended.
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30
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Kargarpour Kamakoli M, Farmanfarmaei G, Masoumi M, Khanipour S, Gharibzadeh S, Sola C, Fateh A, Siadat SD, Refregier G, Vaziri F. Prediction of the hidden genotype of mixed infection strains in Iranian tuberculosis patients. Int J Infect Dis 2020; 95:22-27. [PMID: 32251801 DOI: 10.1016/j.ijid.2020.03.056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 03/19/2020] [Accepted: 03/24/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Patients with mixed-strain Mycobacterium tuberculosis infections may be at a high risk of poor treatment outcomes. However, the mechanisms through which mixed infections affect the clinical manifestations are not well recognized. Evidence suggests that failure to detect the pathogen diversity within the host can influence the clinical results. We aimed to investigate the effects of different genotypes in mixed infections and determine their relationship with heteroresistance in the treatment of Iranian tuberculosis patients. METHODS One of the genotypes was identified in the culture and another genotype pattern in the mixed infection was predicted by comparing the pattern of MIRU-VNTR between the clinical specimens and their respective cultures in each patient. For all patients, the drug susceptibility testing was carried out on three single colonies from each clinical sample. The follow-up of patients was carried out during six months of treatment. RESULTS Based on MIRU-VNTR profiles of clinical samples, we showed that 55.6% (25/45) of the Iranian patients included in the study had mixed infections. Patients with mixed infections had a higher rate of treatment failure, compared to others (P=0.03). By comparing clinical sample profiles to profiles obtained after culture, we were able to distinguish between major and hidden genotypes. Among hidden genotypes, Haarlem (L4.1.2) and Beijing (L2) were associated to treatment failure (6/8 patients). CONCLUSIONS To conclude, we propose a procedure using the MIRU-VNTR method to identify the different genotypes in mixed infections. The present findings suggest that genotypes with potentially higher pathogenicity may not be detected when performing experimental culture in patients with mixed infections.
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Affiliation(s)
- Mansour Kargarpour Kamakoli
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Ghazaleh Farmanfarmaei
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Morteza Masoumi
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Sharareh Khanipour
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Safoora Gharibzadeh
- Department of Epidemiology and Biostatistics, Research Center for Emerging and Reemerging Infectious Diseases, Pasteur Institute of Iran, Tehran, Iran
| | - Christophe Sola
- Institut for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Abolfazl Fateh
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Seyed Davar Siadat
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Guislaine Refregier
- Institut for Integrative Biology of the Cell (I2BC), CEA, CNRS, Univ. Paris Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Farzam Vaziri
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran.
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31
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Anyansi C, Keo A, Walker BJ, Straub TJ, Manson AL, Earl AM, Abeel T. QuantTB - a method to classify mixed Mycobacterium tuberculosis infections within whole genome sequencing data. BMC Genomics 2020; 21:80. [PMID: 31992201 PMCID: PMC6986090 DOI: 10.1186/s12864-020-6486-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 01/13/2020] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Mixed infections of Mycobacterium tuberculosis and antibiotic heteroresistance continue to complicate tuberculosis (TB) diagnosis and treatment. Detection of mixed infections has been limited to molecular genotyping techniques, which lack the sensitivity and resolution to accurately estimate the multiplicity of TB infections. In contrast, whole genome sequencing offers sensitive views of the genetic differences between strains of M. tuberculosis within a sample. Although metagenomic tools exist to classify strains in a metagenomic sample, most tools have been developed for more divergent species, and therefore cannot provide the sensitivity required to disentangle strains within closely related bacterial species such as M. tuberculosis. Here we present QuantTB, a method to identify and quantify individual M. tuberculosis strains in whole genome sequencing data. QuantTB uses SNP markers to determine the combination of strains that best explain the allelic variation observed in a sample. QuantTB outputs a list of identified strains, their corresponding relative abundances, and a list of drugs for which resistance-conferring mutations (or heteroresistance) have been predicted within the sample. RESULTS We show that QuantTB has a high degree of resolution and is capable of differentiating communities differing by less than 25 SNPs and identifying strains down to 1× coverage. Using simulated data, we found QuantTB outperformed other metagenomic strain identification tools at detecting strains and quantifying strain multiplicity. In a real-world scenario, using a dataset of 50 paired clinical isolates from a study of patients with either reinfections or relapses, we found that QuantTB could detect mixed infections and reinfections at rates concordant with a manually curated approach. CONCLUSION QuantTB can determine infection multiplicity, identify hetero-resistance patterns, enable differentiation between relapse and re-infection, and clarify transmission events across seemingly unrelated patients - even in low-coverage (1×) samples. QuantTB outperforms existing tools and promises to serve as a valuable resource for both clinicians and researchers working with clinical TB samples.
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Affiliation(s)
- Christine Anyansi
- Delft Bioinformatics Lab, Delft University of Technology, Van Mourik Broekmanweg 6, Delft, 2628XE, The Netherlands.,Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA
| | - Arlin Keo
- Delft Bioinformatics Lab, Delft University of Technology, Van Mourik Broekmanweg 6, Delft, 2628XE, The Netherlands
| | - Bruce J Walker
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.,Applied Invention, LLC, 486 Green Street, Cambridge, MA, 02139, USA
| | - Timothy J Straub
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.,Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
| | - Abigail L Manson
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA
| | - Ashlee M Earl
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA
| | - Thomas Abeel
- Delft Bioinformatics Lab, Delft University of Technology, Van Mourik Broekmanweg 6, Delft, 2628XE, The Netherlands. .,Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.
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Application of MIRU-VNTR on smear slides: a shortcut for detection of polyclonal infections in tuberculosis patients. Mol Biol Rep 2020; 47:1681-1689. [PMID: 31939062 DOI: 10.1007/s11033-020-05257-1] [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: 10/10/2019] [Accepted: 01/08/2020] [Indexed: 01/20/2023]
Abstract
Mixed (polyclonal) infections are one of the main problems in tuberculosis (TB) management. The best available method for detecting polyclonal infections in TB is mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR). According to multiple studies, MIRU-VNTR method can be applied to detect TB-related polyclonal infections in sputum samples or cultures. Setup of MIRU-VNTR on smear slides can be an efficient approach, regardless of the limitations of cultures and sputum samples in many laboratories. The present study aimed at investigating the diagnostic potential of MIRU-VNTR on smear slides in detecting mixed infections. Ziehl-Neelsen-stained microscopic slides were prepared from 14 clinical specimens. For amplifying 24 MIRU-VNTR loci, PCR assay was performed on the smear slides, clinical specimens, and cultures. Based on the 24-locus MIRU-VNTR analysis, polyclonal infections were reported in 42.85% of smear slides, while the corresponding rate was estimated at 57.1% (8/14) in the clinical samples. In the corresponding cultures, the rate of mixed infection was 7.14% (1/14). Use of smear slides can be a safe option for transferring clinical specimens between environmental and reference laboratories. Considering their significant impact on TB treatment, it is essential to diagnose mixed infections in low-resource countries with a high prevalence of mixed infections. The present findings show that direct MIRU-VNTR on smear slides can be conveniently used for the detection of mixed infections.
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Anthwal D, Lavania S, Gupta RK, Verma A, Myneedu VP, Sharma PP, Verma H, Malhotra V, Gupta A, Gupta NK, Sarin R, Haldar S, Tyagi JS. Development and evaluation of novel bio-safe filter paper-based kits for sputum microscopy and transport to directly detect Mycobacterium tuberculosis and associated drug resistance. PLoS One 2019; 14:e0220967. [PMID: 31408508 PMCID: PMC6692035 DOI: 10.1371/journal.pone.0220967] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 07/26/2019] [Indexed: 11/18/2022] Open
Abstract
India has the highest burden of Tuberculosis (TB) and multidrug-resistant TB (MDR-TB) worldwide. Innovative technology is the need of the hour to identify these cases that remain either undiagnosed or inadequately diagnosed due to the unavailability of appropriate tools at primary healthcare settings. We developed and evaluated 3 kits, namely ‘TB Detect’ (containing BioFM-Filter device), ‘TB Concentration and Transport’ (containing Trans-Filter device) and ‘TB DNA Extraction’ kits. These kits enable bio-safe equipment-free concentration of sputum on filters and improved fluorescence microscopy at primary healthcare centres, ambient temperature transport of dried inactivated sputum filters to central laboratories and molecular detection of drug resistance by PCR and DNA sequencing (Mol-DST). In a 2-site evaluation (n = 1190 sputum specimens) on presumptive TB patients, BioFM-Filter smear exhibited a significant increase in positivity of 7% and 4% over ZN smear and LED-FM smear (p<0.05), respectively and an increment in smear grade status (1+ or 2+ to 3+) of 16% over ZN smear and 20% over LED-FM smear. The sensitivity of Mol-DST in presumptive MDR-TB and XDR-TB cases (n = 148) was 90% for Rifampicin (95% confidence interval [CI], 78–96%), 84% for Isoniazid (95% CI, 72–92%), 83% for Fluoroquinolones (95% CI, 66–93%) and 75% for Aminoglycosides (95% CI, 35–97%), using phenotypic DST as the reference standard. Test specificity was 88–93% and concordance was ~89–92% (κ value 0.8–0.9). The patient-friendly kits described here address several of the existing challenges and are designed to provide ‘Universal Access’ to rapid TB diagnosis, including drug-resistant disease. Their utility was demonstrated by application to sputum at 2 sites in India. Our findings pave the way for larger studies in different point-of-care settings, including high-density urban areas and remote geographical locations.
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Affiliation(s)
- Divya Anthwal
- Center for Bio-design and Diagnostics, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad–Gurgaon Expressway, Faridabad, India
| | - Surabhi Lavania
- Department of Biotechnology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Rakesh Kumar Gupta
- Center for Bio-design and Diagnostics, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad–Gurgaon Expressway, Faridabad, India
| | - Ajoy Verma
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases, Mehrauli, New Delhi, India
| | - Vithal Prasad Myneedu
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases, Mehrauli, New Delhi, India
| | - Prem Prakash Sharma
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases, Mehrauli, New Delhi, India
| | | | | | - Ashawant Gupta
- Advanced Microdevices Pvt Ltd, Industrial Area, Ambala Cantt, India
| | | | - Rohit Sarin
- Department of Microbiology, National Institute of Tuberculosis and Respiratory Diseases, Mehrauli, New Delhi, India
- * E-mail: (JST); (SH); (RS)
| | - Sagarika Haldar
- Center for Bio-design and Diagnostics, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad–Gurgaon Expressway, Faridabad, India
- * E-mail: (JST); (SH); (RS)
| | - Jaya Sivaswami Tyagi
- Center for Bio-design and Diagnostics, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, 3rd Milestone, Faridabad–Gurgaon Expressway, Faridabad, India
- Department of Biotechnology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
- * E-mail: (JST); (SH); (RS)
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Ssebuliba DM, Ouifki R. Effect of mixed infection on TB dynamics. INT J BIOMATH 2019. [DOI: 10.1142/s179352451950061x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Poor living conditions, overcrowding and strain diversity are some of the factors that influence mixed infection in Tuberculosis (TB) at the population level. We formulate a mathematical model for mixed infection in TB using nonlinear ordinary differential equations where such factors were represented as probabilities of acquiring mixed infection. A qualitative analysis of the model shows that it exhibits multiple endemic equilibria and backward bifurcation for certain parameter values. The reactivation rate and transmission rate of individuals with mixed infection were of importance as well as the probabilities for latent individuals to acquire mixed infection. We calculate the prevalence of mixed infection from the model and the effect of mixed infection on TB incidence, TB prevalence and Mycobacterium tuberculosis (MTB) infection rate. Numerical simulations show that mixed infection may explain high TB incidences in areas which have a high strain diversity, poor living conditions and are overcrowded even without HIV.
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Affiliation(s)
- Doreen Mbabazi Ssebuliba
- Faculty of Science, Kabale University, P. O. Box 317, Kabale, Uganda
- South African Centre for Epidemiological Modelling, and Analysis, 19 Jonkershoek, Mostertdrift, Stellenbosch, 7600, Cape Town, Western Cape, South Africa
| | - Rachid Ouifki
- South African Centre for Epidemiological Modelling, and Analysis, 19 Jonkershoek, Mostertdrift, Stellenbosch, 7600, Cape Town, Western Cape, South Africa
- Department of Mathematics and Applied Mathematics, University of Pretoria, Private bag X20, Hatfield, 0028 Pretoria, South Africa
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Chen X, He G, Wang S, Lin S, Chen J, Zhang W. Evaluation of Whole-Genome Sequence Method to Diagnose Resistance of 13 Anti-tuberculosis Drugs and Characterize Resistance Genes in Clinical Multi-Drug Resistance Mycobacterium tuberculosis Isolates From China. Front Microbiol 2019; 10:1741. [PMID: 31417530 PMCID: PMC6685394 DOI: 10.3389/fmicb.2019.01741] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2019] [Accepted: 07/15/2019] [Indexed: 11/29/2022] Open
Abstract
Background: Whole-genome sequencing (WGS) is a viable and financially feasible tool for timely and comprehensive diagnosis of drug resistance in developed countries. With the increase in the incidence of multidrug-resistant tuberculosis (MDR-TB), second-line anti-TB drugs are gaining importance. However, genetic resistance to second-line anti-TB drugs based on WGS has not been fully studied. Methods: We randomly selected 100 MDR-TB and 10 non-MDR-TB isolates from a hospital in Zhejiang Province, China. Drug susceptibility tests against 13 anti-TB drugs were performed, and 34 drug resistance-related genes were analyzed using WGS in all isolates. For each drug, the accuracy, sensitivity, specificity, and positive and negative predictive values of WGS were compared with those of the conventional drug susceptibility test. Results: The overall sensitivity and specificity for WGS were respectively, 99.0 and 100.0% for isoniazid (INH), 99.0 and 100.0% for rifampicin (RIF), 94.8 and 65.3% for ethambutol (EMB), 86.2 and 84.4% for pyrazinamide (PZA), 95.6 and 95.6% for levofloxacin (LFX), 89.5 and 65.3% for moxifloxacin (MFX), 91.3 and 95.1% for streptomycin (SM), 90.9 and 99.0% for kanamycin, 90.9 and 100.0% for amikacin, 88.9 and 98.0% for capreomycin, 87.0 and 85.1% for prothionamide (PTO), 85.7 and 99.0% for para-aminosalicylic acid (PAS), and 66.7 and 95.9% for clofazimine (CLO). Conclusions: WGS is a promising approach to predict resistance to INH, RIF, PZA, LFX, SM, second-line injectable drugs (SLIDs), and PTO with satisfactory accuracy, sensitivity, and specificity of over 85.0%. The specificity of WGS in diagnosing resistance to EMB, and high-level resistance to MFX (2.0 mg/L) needs to be improved.
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Affiliation(s)
- Xinchang Chen
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Guiqing He
- Sixth People's Hospital of Wenzhou City, Shenzhen, China
| | - Shiyong Wang
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Siran Lin
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiazhen Chen
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Wenhong Zhang
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China
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36
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Bacterial Genotyping of Central Nervous System Tuberculosis in South Africa: Heterogenic Mycobacterium tuberculosis Infection and Predominance of Lineage 4. J Clin Microbiol 2019; 57:JCM.00415-19. [PMID: 31189579 DOI: 10.1128/jcm.00415-19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 05/30/2019] [Indexed: 12/20/2022] Open
Abstract
Tuberculous meningitis (TBM), the most severe extrapulmonary manifestation of tuberculosis, is caused by the pathogen Mycobacterium tuberculosis The M. tuberculosis complex includes seven lineages, all described to harbor a unique geographical dissemination pattern and clinical presentation. In this study, we set out to determine whether a certain M. tuberculosis lineage demonstrated tropism to cause TBM in patients from Cape Town, South Africa. DNA was extracted from formalin-fixed paraffin-embedded central nervous system (CNS) tissue from a unique neuropathological cohort of 83 TBM patients, collected between 1975 and 2012. M. tuberculosis lineages 1, 2, 3, and 4 were determined using an allele-specific PCR and Sanger sequencing. Of the 83 patient specimens tested, bacterial characterization could be performed on 46 specimens (55%). M. tuberculosis lineage 4 was present in 26 patient specimens (56%), and non-lineage 4 was identified in 10 cases (22%). Moreover, genomic heterogeneity was detected in the CNS specimens of 7 adults and 3 children. We could show that infection of the CNS is not restricted to a single M. tuberculosis lineage and that even young children with rapid progression of disease can harbor more than one M. tuberculosis lineage in the CNS.
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37
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Cohen KA, Manson AL, Desjardins CA, Abeel T, Earl AM. Deciphering drug resistance in Mycobacterium tuberculosis using whole-genome sequencing: progress, promise, and challenges. Genome Med 2019; 11:45. [PMID: 31345251 PMCID: PMC6657377 DOI: 10.1186/s13073-019-0660-8] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Tuberculosis (TB) is a global infectious threat that is intensified by an increasing incidence of highly drug-resistant disease. Whole-genome sequencing (WGS) studies of Mycobacterium tuberculosis, the causative agent of TB, have greatly increased our understanding of this pathogen. Since the first M. tuberculosis genome was published in 1998, WGS has provided a more complete account of the genomic features that cause resistance in populations of M. tuberculosis, has helped to fill gaps in our knowledge of how both classical and new antitubercular drugs work, and has identified specific mutations that allow M. tuberculosis to escape the effects of these drugs. WGS studies have also revealed how resistance evolves both within an individual patient and within patient populations, including the important roles of de novo acquisition of resistance and clonal spread. These findings have informed decisions about which drug-resistance mutations should be included on extended diagnostic panels. From its origins as a basic science technique, WGS of M. tuberculosis is becoming part of the modern clinical microbiology laboratory, promising rapid and improved detection of drug resistance, and detailed and real-time epidemiology of TB outbreaks. We review the successes and highlight the challenges that remain in applying WGS to improve the control of drug-resistant TB through monitoring its evolution and spread, and to inform more rapid and effective diagnostic and therapeutic strategies.
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Affiliation(s)
- Keira A Cohen
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MA, 21205, USA.
| | - Abigail L Manson
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA
| | - Christopher A Desjardins
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA
| | - Thomas Abeel
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA
- Delft Bioinformatics Lab, Delft University of Technology, 2628, XE, Delft, The Netherlands
| | - Ashlee M Earl
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA.
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Dippenaar A, De Vos M, Marx FM, Adroub SA, van Helden PD, Pain A, Sampson SL, Warren RM. Whole genome sequencing provides additional insights into recurrent tuberculosis classified as endogenous reactivation by IS6110 DNA fingerprinting. INFECTION GENETICS AND EVOLUTION 2019; 75:103948. [PMID: 31276801 DOI: 10.1016/j.meegid.2019.103948] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 06/22/2019] [Accepted: 06/30/2019] [Indexed: 12/21/2022]
Abstract
Recurrent tuberculosis (TB) after successful TB treatment occurs due to endogenous reactivation (relapse) or exogenous reinfection. We revisited the conclusions of relapse in a high TB incidence setting that were drawn on the basis of IS6110 restriction fragment length polymorphism (RFLP) analysis in a large retrospective cohort study in suburban Cape Town, South Africa. Using whole genome sequencing (WGS), we undertook pair-wise genome comparison of Mycobacterium tuberculosis strains cultured from diagnostic sputum samples collected at the index and recurrent TB episode for 25 recurrent TB cases who had been classified as relapse based on identical DNA fingerprint patterns in the earlier study. We found that paired strain genome sequences were identical or showed minimal variant differences in 22 of 25 recurrent TB cases, consistent with relapse. One showed 20 variant differences, suggestive of exogenous reinfection. Two of the 25 had mixed infections, each with the index episode strain detected as the dominant strain at recurrence in one of these patients, the minority strain harboured drug-resistance conferring mutations (rpoB, katG). In conclusion, our study highlights the additional value of WGS for investigating recurrent TB in settings with high infection pressure and closely related circulating strains, where the extent of re- and mixed infection may be underestimated.
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Affiliation(s)
- Anzaan Dippenaar
- NRF/DST Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
| | - Margaretha De Vos
- NRF/DST Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Florian M Marx
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa; DST-NRF South African Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
| | - Sabir A Adroub
- Pathogen Genomics Laboratory, BESE Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Paul D van Helden
- NRF/DST Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Arnab Pain
- Pathogen Genomics Laboratory, BESE Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Samantha L Sampson
- NRF/DST Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Robin M Warren
- NRF/DST Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
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39
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Early Detection of Emergent Extensively Drug-Resistant Tuberculosis by Flow Cytometry-Based Phenotyping and Whole-Genome Sequencing. Antimicrob Agents Chemother 2019; 63:AAC.01834-18. [PMID: 30670422 DOI: 10.1128/aac.01834-18] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 12/14/2018] [Indexed: 12/13/2022] Open
Abstract
A critical gap in tuberculosis (TB) treatment is detection of emergent drug resistance. We hypothesized that advanced phenotyping with whole-genome sequencing (WGS) will detect low-frequency Mycobacterium tuberculosis drug resistance. We assessed a reporter mycobacteriophage (Φ2GFP10) in vitro to detect drug-resistant subpopulations and predict M. tuberculosis bactericidal activity in this pilot study. Subsequently, we prospectively studied 20 TB patients with serial Φ2GFP10, Xpert MTB/RIF, and M. tuberculosis culture through end of treatment. WGS was performed, and single nucleotide polymorphisms (SNPs) were examined to detect mixed infection in selected M. tuberculosis isolates. Resistant M. tuberculosis isolates were detected at 1:100,000, and changes in cytometry-gated events were predictive of in vitro M. tuberculosis bactericidal activity using the Φ2GFP10 assay. Emergent drug resistance was detected in one patient by Φ2GFP10 at 3 weeks but not by conventional testing (M. tuberculosis culture and GeneXpert). WGS revealed a phylogeographically distinct extensively drug-resistant tuberculosis (XDR-TB) genome, identical to an XDR-TB isolate from the patient's spouse. Variant lineage-specific SNPs were present early, suggesting mixed infection as the etiology of emergent resistance with temporal trends providing evidence for selection during treatment. Φ2GFP10 can detect low-frequency drug-resistant M. tuberculosis and with WGS characterize emergent M. tuberculosis resistance. In areas of high TB transmission and drug resistance, rapid screening for heteroresistance should be considered.
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40
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Deciphering Within-Host Microevolution of Mycobacterium tuberculosis through Whole-Genome Sequencing: the Phenotypic Impact and Way Forward. Microbiol Mol Biol Rev 2019; 83:83/2/e00062-18. [PMID: 30918049 DOI: 10.1128/mmbr.00062-18] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The Mycobacterium tuberculosis genome is more heterogenous and less genetically stable within the host than previously thought. Currently, only limited data exist on the within-host microevolution, diversity, and genetic stability of M. tuberculosis As a direct consequence, our ability to infer M. tuberculosis transmission chains and to understand the full complexity of drug resistance profiles in individual patients is limited. Furthermore, apart from the acquisition of certain drug resistance-conferring mutations, our knowledge on the function of genetic variants that emerge within a host and their phenotypic impact remains scarce. We performed a systematic literature review of whole-genome sequencing studies of serial and parallel isolates to summarize the knowledge on genetic diversity and within-host microevolution of M. tuberculosis We identified genomic loci of within-host emerged variants found across multiple studies and determined their functional relevance. We discuss important remaining knowledge gaps and finally make suggestions on the way forward.
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41
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Advani J, Verma R, Chatterjee O, Pachouri PK, Upadhyay P, Singh R, Yadav J, Naaz F, Ravikumar R, Buggi S, Suar M, Gupta UD, Pandey A, Chauhan DS, Tripathy SP, Gowda H, Prasad TSK. Whole Genome Sequencing of Mycobacterium tuberculosis Clinical Isolates From India Reveals Genetic Heterogeneity and Region-Specific Variations That Might Affect Drug Susceptibility. Front Microbiol 2019; 10:309. [PMID: 30863380 PMCID: PMC6399466 DOI: 10.3389/fmicb.2019.00309] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 02/05/2019] [Indexed: 11/15/2022] Open
Abstract
Whole genome sequencing (WGS) of Mycobacterium tuberculosis has been constructive in understanding its evolution, genetic diversity and the mechanisms involved in drug resistance. A large number of sequencing efforts from across the globe have revealed genetic diversity among clinical isolates and the genetic determinants for their resistance to anti-tubercular drugs. Considering the high TB burden in India, the availability of WGS studies is limited. Here we present, WGS results of 200 clinical isolates of M. tuberculosis from North India which are categorized as sensitive to first-line drugs, mono-resistant, multi-drug resistant and pre-extensively drug resistant isolates. WGS revealed that 20% of the isolates were co-infected with M. tuberculosis and non-tuberculous mycobacteria species. We identified 12,802 novel genetic variations in M. tuberculosis isolates including 343 novel SNVs in 38 genes which are known to be associated with drug resistance and are not currently used in the diagnostic kits for detection of drug resistant TB. We also identified M. tuberculosis lineage 3 to be predominant in the northern region of India. Additionally, several novel SNVs, which may potentially confer drug resistance were found to be enriched in the drug resistant isolates sampled. This study highlights the significance of employing WGS in diagnosis and for monitoring further development of MDR-TB strains.
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Affiliation(s)
- Jayshree Advani
- Institute of Bioinformatics, International Technology Park, Bengaluru, India.,Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India.,Manipal Academy of Higher Education, Manipal, India
| | - Renu Verma
- Institute of Bioinformatics, International Technology Park, Bengaluru, India
| | - Oishi Chatterjee
- Institute of Bioinformatics, International Technology Park, Bengaluru, India.,Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India.,School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, India
| | - Praveen Kumar Pachouri
- Department of Microbiology and Molecular Biology, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, India
| | - Prashant Upadhyay
- Department of Microbiology and Molecular Biology, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, India
| | - Rajesh Singh
- Department of Microbiology and Molecular Biology, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, India
| | - Jitendra Yadav
- Department of Microbiology and Molecular Biology, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, India
| | - Farah Naaz
- Department of Microbiology and Molecular Biology, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, India
| | - Raju Ravikumar
- Department of Neuromicrobiology, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Shashidhar Buggi
- Intermediate Reference Laboratory, State Tuberculosis Training and Demonstration Centre, Someshwaranagar, SDSTRC and RGICD Campus, Bengaluru, India.,Department of Cardio Thoracic Surgery, Super Specialty State Referral Hospital for Chest Diseases, Someshwaranagar First Main Road, Dharmaram College Post, Bengaluru, India
| | - Mrutyunjay Suar
- School of Biotechnology, Kalinga Institute of Industrial Technology, Bhubaneswar, India
| | - Umesh D Gupta
- Department of Microbiology and Molecular Biology, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, India
| | - Akhilesh Pandey
- Institute of Bioinformatics, International Technology Park, Bengaluru, India.,Manipal Academy of Higher Education, Manipal, India.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.,Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, United States.,Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.,Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Devendra S Chauhan
- Department of Microbiology and Molecular Biology, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, India
| | - Srikanth Prasad Tripathy
- Department of Microbiology and Molecular Biology, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, India
| | - Harsha Gowda
- Institute of Bioinformatics, International Technology Park, Bengaluru, India.,Manipal Academy of Higher Education, Manipal, India
| | - T S Keshava Prasad
- Institute of Bioinformatics, International Technology Park, Bengaluru, India.,Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
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Transmission of drug-resistant tuberculosis in HIV-endemic settings. THE LANCET. INFECTIOUS DISEASES 2018; 19:e77-e88. [PMID: 30554996 DOI: 10.1016/s1473-3099(18)30537-1] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 08/10/2018] [Accepted: 08/10/2018] [Indexed: 12/17/2022]
Abstract
The emergence and expansion of the multidrug-resistant tuberculosis epidemic is a threat to the global control of tuberculosis. Multidrug-resistant tuberculosis is the result of the selection of resistance-conferring mutations during inadequate antituberculosis treatment. However, HIV has a profound effect on the natural history of tuberculosis, manifesting in an increased rate of disease progression, leading to increased transmission and amplification of multidrug-resistant tuberculosis. Interventions specific to HIV-endemic areas are urgently needed to block tuberculosis transmission. These interventions should include a combination of rapid molecular diagnostics and improved chemotherapy to shorten the duration of infectiousness, implementation of infection control measures, and active screening of multidrug-resistant tuberculosis contacts, with prophylactic regimens for individuals without evidence of disease. Development and improvement of the efficacy of interventions will require a greater understanding of the factors affecting the transmission of multidrug-resistant tuberculosis in HIV-endemic settings, including population-based molecular epidemiology studies. In this Series article, we review what we know about the transmission of multidrug-resistant tuberculosis in settings with high burdens of HIV and define the research priorities required to develop more effective interventions, to diminish ongoing transmission and the amplification of drug resistance.
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43
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Mycobacterium tuberculosis Next-Generation Whole Genome Sequencing: Opportunities and Challenges. Tuberc Res Treat 2018; 2018:1298542. [PMID: 30631597 PMCID: PMC6304523 DOI: 10.1155/2018/1298542] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 10/29/2018] [Accepted: 11/25/2018] [Indexed: 11/29/2022] Open
Abstract
Mycobacterium tuberculosis drug resistance is a threat to global tuberculosis (TB) control. Comprehensive and timely drug susceptibility determination is critical to inform appropriate treatment of drug-resistant tuberculosis (DR-TB). Phenotypic drug susceptibility testing (DST) is the gold standard for M. tuberculosis drug resistance determination. M. tuberculosis whole genome sequencing (WGS) has the potential to be a one-stop method for both comprehensive DST and epidemiological investigations. We discuss in this review the tremendous opportunities that next-generation WGS presents in terms of understanding the molecular epidemiology of tuberculosis and mechanisms of drug resistance. The potential clinical value and public health impact in the areas of DST for patient management and tracing of transmission chains for timely public health intervention are also discussed. We present the current challenges for the implementation of WGS in low and middle-income settings. WGS analysis has already been adapted routinely in laboratories to inform patient management and public health interventions in low burden high-income settings such as the United Kingdom. We predict that the technology will be adapted similarly in high burden settings where the impact on the epidemic will be greatest.
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44
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Shin SS, Modongo C, Baik Y, Allender C, Lemmer D, Colman RE, Engelthaler DM, Warren RM, Zetola NM. Mixed Mycobacterium tuberculosis-Strain Infections Are Associated With Poor Treatment Outcomes Among Patients With Newly Diagnosed Tuberculosis, Independent of Pretreatment Heteroresistance. J Infect Dis 2018; 218:1974-1982. [PMID: 30085153 PMCID: PMC6217728 DOI: 10.1093/infdis/jiy480] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 08/02/2018] [Indexed: 11/14/2022] Open
Abstract
Background Heteroresistant Mycobacterium tuberculosis infections (defined as concomitant infection with drug-resistant and drug-susceptible strains) may explain the higher risk of poor tuberculosis treatment outcomes observed among patients with mixed-strain M. tuberculosis infections. We investigated the clinical effect of mixed-strain infections while controlling for pretreatment heteroresistance in a population-based sample of patients with tuberculosis starting first-line tuberculosis therapy in Botswana. Methods We performed 24-locus mycobacterial interspersed repetitive unit-variable number tandem-repeat analysis and targeted deep sequencing on baseline primary cultured isolates to detect mixed infections and heteroresistance, respectively. Drug-sensitive, micro-heteroresistant, macro-heteroresistant, and fixed-resistant infections were defined as infections in which the frequency of resistance was <0.1%, 0.1%-4%, 5%-94%, and ≥95%, respectively, in resistance-conferring domains of the inhA promoter, the katG gene, and the rpoB gene. Results Of the 260 patients with tuberculosis included in the study, 25 (9.6%) had mixed infections and 30 (11.5%) had poor treatment outcomes. Micro-heteroresistance, macro-heteroresistance, and fixed resistance were found among 11 (4.2%), 2 (0.8%), and 11 (4.2%), respectively, for isoniazid and 21 (8.1%), 0 (0%), and 10 (3.8%), respectively, for rifampicin. In multivariable analysis, mixed infections but not heteroresistant infections independently predicted poor treatment outcomes. Conclusions Among patients starting first-line tuberculosis therapy in Botswana, mixed infections were associated with poor tuberculosis treatment outcomes, independent of heteroresistance.
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Affiliation(s)
- Sanghyuk S Shin
- Sue and Bill Gross School of Nursing, University of California, Irvine
| | - Chawangwa Modongo
- Botswana-Upenn Partnership, Gaborone, Botswana
- Department of Infectious Disease, Gaborone, Botswana
| | - Yeonsoo Baik
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles
| | | | - Darrin Lemmer
- Translational Genomics Research Institute, Flagstaff, Arizona
| | | | | | - Robin M Warren
- NRF/DST Centre of Excellence for Biomedical Tuberculosis Research
- South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Tygerberg, South Africa
- Division of Molecular Biology and Human Genetics, Faculty of Health Sciences, Stellenbosch University, Tygerberg, South Africa
| | - Nicola M Zetola
- Department of Radiation Oncology, University of Pennsylvania School of Medicine, Gaborone, Botswana
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45
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Evolution of drug resistance in an antifungal-naive chronic Candida lusitaniae infection. Proc Natl Acad Sci U S A 2018; 115:12040-12045. [PMID: 30389707 PMCID: PMC6255150 DOI: 10.1073/pnas.1807698115] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Management of the limited number of antimicrobials currently available requires the identification of infections that contain drug-resistant isolates and the discovery of factors that promote the evolution of drug resistance. Here, we report a single fungal infection in which we have identified numerous subpopulations that differ in their alleles of a single gene that impacts drug resistance. The diversity at this locus was markedly greater than the reported heterogeneity of alleles conferring antibiotic resistance in bacterial infections. Analysis of genomes from hundreds of Clavispora (Candida) lusitaniae isolates, through individual and pooled isolate sequencing, from a single individual with cystic fibrosis revealed at least 25 nonsynonymous mutations in MRR1, which encodes a transcription factor capable of inducing fluconazole (FLZ) resistance in Candida species. Isolates with high-activity Mrr1 variants were resistant to FLZ due to elevated expression of the MDR1-encoded efflux pump. We found that high Mrr1-regulated Mdr1 activity protected against host and bacterial factors, suggesting drug resistance can be selected for indirectly and perhaps explaining the Mrr1 heterogeneity in this individual who had no prior azole exposure. Regional analysis of C. lusitaniae populations from the upper and lower lobes of the right lung suggested intermingling of subpopulations throughout. Our retrospective characterization of sputum and lung populations by pooled sequencing found that alleles that confer FLZ resistance were a minority in each pool, possibly explaining why they were undetected before unsuccessful FLZ therapy. New susceptibility testing regimes may detect problematical drug-resistant subpopulations in heterogeneous single-species infections.
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46
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The value of transcriptomics in advancing knowledge of the immune response and diagnosis in tuberculosis. Nat Immunol 2018; 19:1159-1168. [PMID: 30333612 DOI: 10.1038/s41590-018-0225-9] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 08/28/2018] [Indexed: 01/06/2023]
Abstract
Blood transcriptomics analysis of tuberculosis has revealed an interferon-inducible gene signature that diminishes in expression after successful treatment; this promises improved diagnostics and treatment monitoring, which are essential for the eradication of tuberculosis. Sensitive radiography revealing lung abnormalities and blood transcriptomics have demonstrated heterogeneity in patients with active tuberculosis and exposed asymptomatic people with latent tuberculosis, suggestive of a continuum of infection and immune states. Here we describe the immune response to infection with Mycobacterium tuberculosis revealed through the use of transcriptomics, as well as differences among clinical phenotypes of infection that might provide information on temporal changes in host immunity associated with evolving infection. We also review the diverse blood transcriptional signatures, composed of small sets of genes, that have been proposed for the diagnosis of tuberculosis and the identification of at-risk asymptomatic people and suggest novel approaches for the development of such biomarkers for clinical use.
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47
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Direct Whole-Genome Sequencing of Sputum Accurately Identifies Drug-Resistant Mycobacterium tuberculosis Faster than MGIT Culture Sequencing. J Clin Microbiol 2018; 56:JCM.00666-18. [PMID: 29848567 PMCID: PMC6062781 DOI: 10.1128/jcm.00666-18] [Citation(s) in RCA: 97] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 05/25/2018] [Indexed: 11/20/2022] Open
Abstract
The current methods available to diagnose antimicrobial-resistant Mycobacterium tuberculosis infections require a positive culture or only test a limited number of resistance-associated mutations. A rapid accurate identification of antimicrobial resistance enables the prompt initiation of effective treatment. Here, we determine the utility of whole-genome sequencing (WGS) of M. tuberculosis directly from routinely obtained diagnostic sputum samples to provide a comprehensive resistance profile compared to that from mycobacterial growth indicator tube (MGIT) WGS. We sequenced M. tuberculosis from 43 sputum samples by targeted DNA enrichment using the Agilent SureSelectXT kit, and 43 MGIT positive samples from each participant. Thirty two (74%) sputum samples and 43 (100%) MGIT samples generated whole genomes. The times to antimicrobial resistance profiles and concordance were compared with Xpert MTB/RIF and phenotypic resistance testing from cultures of the same samples. Antibiotic susceptibility could be predicted from WGS of sputum within 5 days of sample receipt and up to 24 days earlier than WGS from MGIT culture and up to 31 days earlier than phenotypic testing. Direct sputum results could be reduced to 3 days with faster hybridization and if only regions encoding drug resistance are sequenced. We show that direct sputum sequencing has the potential to provide comprehensive resistance detection significantly faster than MGIT whole-genome sequencing or phenotypic testing of resistance from cultures in a clinical setting. This improved turnaround time enables prompt appropriate treatment with associated patient and health service benefits. Improvements in sample preparation are necessary to ensure comparable sensitivities and complete resistance profile predictions in all cases.
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48
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Mesfin EA, Beyene D, Tesfaye A, Admasu A, Addise D, Amare M, Dagne B, Yaregal Z, Tesfaye E, Tessema B. Drug-resistance patterns of Mycobacterium tuberculosis strains and associated risk factors among multi drug-resistant tuberculosis suspected patients from Ethiopia. PLoS One 2018; 13:e0197737. [PMID: 29864118 PMCID: PMC5986145 DOI: 10.1371/journal.pone.0197737] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Accepted: 05/08/2018] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Multidrug drug-resistant tuberculosis (MDR-TB) is a major health problem and seriously threatens TB control and prevention efforts globally. Ethiopia is among the 30th highest TB burden countries for MDR-TB with 14% prevalence among previously treated cases. The focus of this study was on determining drug resistance patterns of Mycobacterium tuberculosis among MDR-TB suspected cases and associated risk factors. METHODS A cross-sectional study was conducted in Addis Ababa from June 2015 to December 2016. Sputum samples and socio-demographic data were collected from 358 MDR-TB suspected cases. Samples were analyzed using Ziehl-Neelsen technique, GeneXpert MTB/RIF assay, and culture using Lowenstein-Jensen and Mycobacterial growth indicator tube. Data were analyzed using SPSS version 23. RESULTS A total of 226 the study participants were culture positive for Mycobacterium tuberculosis, among them, 133 (58.8%) participants were males. Moreover, 162 (71.7%) had been previously treated for tuberculosis, while 128 (56.6%) were TB/HIV co-infected. A majority [122 (54%)] of the isolates were resistant to any first-line anti-TB drugs. Among the resistant isolates, 110 (48.7%) were determined to be resistant to isoniazid, 94 (41.6%) to streptomycin, 89 (39.4%) to rifampicin, 72 (31.9%) to ethambutol, and 70 (30.9%) to pyrazinamide. The prevalence of MDR-TB was 89 (39.4%), of which 52/89 (58.4%) isolates were resistance to all five first-line drugs. Risk factors such as TB/HIV co-infection (AOR = 5.59, p = 0.00), cigarette smoking (AOR = 3.52, p = 0.045), alcohol drinking (AOR = 5.14, p = 0.001) hospital admission (AOR = 3.49, p = 0.005) and visiting (AOR = 3.34, p = 0.044) were significantly associated with MDR-TB. CONCLUSIONS The prevalence of MDR-TB in the study population was of a significantly high level among previously treated patients and age group of 25-34. TB/HIV coinfection, smoking of cigarette, alcohol drinking, hospital admission and health facility visiting were identified as risk factors for developing MDR-TB. Therefore, effective strategies should be designed considering the identified risk factors for control of MDR-TB.
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Affiliation(s)
- Eyob Abera Mesfin
- Addis Ababa University, Department of Microbial, Cellular and Molecular Biology, Addis Ababa, Ethiopia
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
- * E-mail:
| | - Dereje Beyene
- Addis Ababa University, Department of Microbial, Cellular and Molecular Biology, Addis Ababa, Ethiopia
| | - Abreham Tesfaye
- Addis Ababa City Administration Health Bureau Health Research and Laboratory Services, Addis Ababa, Ethiopia
| | | | | | - Miskir Amare
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Biniyam Dagne
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Ephrem Tesfaye
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Belay Tessema
- Department of Medical Microbiology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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Pescarini JM, Simonsen V, Ferrazoli L, Rodrigues LC, Oliveira RS, Waldman EA, Houben R. Migration and tuberculosis transmission in a middle-income country: a cross-sectional study in a central area of São Paulo, Brazil. BMC Med 2018; 16:62. [PMID: 29706130 PMCID: PMC5925834 DOI: 10.1186/s12916-018-1055-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Accepted: 04/10/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Little is known about the impact of growing migration on the pattern of tuberculosis (TB) transmission in middle-income countries. We estimated TB recent transmission and its associated factors and investigated the presence of cross-transmission between South American migrants and Brazilians. METHODS We studied a convenient sample of cases of people with pulmonary TB in a central area of São Paulo, Brazil, diagnosed between 2013 and 2014. Cases with similar restriction fragment length polymorphism (IS6110-RFLP) patterns of their Mycobacterium tuberculosis complex isolates were grouped in clusters (recent transmission). Clusters with both Brazilian and South American migrants were considered mixed (cross-transmission). Risk factors for recent transmission were studied using logistic regression. RESULTS Isolates from 347 cases were included, 76.7% from Brazilians and 23.3% from South American migrants. Fifty clusters were identified, which included 43% South American migrants and 60.2% Brazilians (odds ratio = 0.50, 95% confidence interval = 0.30-0.83). Twelve cross-transmission clusters were identified, involving 24.6% of all clustered cases and 13.8% of all genotyped cases, with migrants accounting for either an equal part or fewer cases in 11/12 mixed clusters. CONCLUSIONS Our results suggest that TB disease following recent transmission is more common among Brazilians, especially among those belonging to high-risk groups, such as drug users. Cross-transmission between migrants and Brazilians was present, but we found limited contributions from migrants to Brazilians in central areas of São Paulo and vice versa.
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Affiliation(s)
- Julia Moreira Pescarini
- Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK.
| | | | | | - Laura C Rodrigues
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK
| | | | | | - Rein Houben
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK
- TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, London, UK
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50
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Yan L, Kan X, Zhu L, Xu K, Yin J, Jie L, Li Y, Yue J, Cui W, Du J, Wang L, Tan S, Jiang X, Zeng Z, Xu S, Wang L, Chen Y, He W, Gao X, Bai D, Zhao C, Yan X, Zhu Y, Fan Y, Xie L, Deng A, Zhang Q, Xiao H. Short-course Regimen for Subsequent Treatment of Pulmonary Tuberculosis: A Prospective, Randomized, Controlled Multicenter Clinical Trial in China. Clin Ther 2018. [PMID: 29519716 DOI: 10.1016/j.clinthera.2018.01.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
PURPOSE We designed a prospective, multicenter, randomized, controlled study to assess a 5-month regimen compared with the standard regimen on previously treated patients with pulmonary tuberculosis (TB). METHODS We enrolled 917 sputum smear-positive patients undergoing additional treatment in 27 major tuberculosis hospitals in China. Patients were randomly assigned to a test group (n = 626)treated with a 5-month regimen of moxifloxacin, pasiniazid, rifabutin, ethambutol, and pyrazinamide or a reference group (n = 291) treated with an 8-month regimen of isoniazid, rifampicin, and streptomycin. All patients with a favorable response were followed up for 5 years after the end of treatment. FINDINGS Of the study patients, 61 in the test group and 19 in the reference group had multidrug-resistant (MDR) TB. The treatment success rate in the study group was 74.12%, which was significantly higher than the 67.70% in the reference group (P = 0.04), whereas the treatment success rate of patients with MDR-TB was not significantly different between the test and reference groups (70.5% vs 63.1%, P =0.79). The adverse effects rates in the test and reference groups were 7.4% and 3.1%, respectively (P = .01). The difference in the TB recurrence rates between the group arm (9.6%) and the reference group (21.8%) was statistically significant (P < 0.001). IMPLICATIONS The moxifloxacin, pasiniazid, rifabutin, ethambutol, and pyrazinamide test regimen yielded higher success and lower recurrence rates than the currently recommended isoniazid, rifampicin, and streptomycin regimen, but the rate of adverse effects was higher. ClinicalTrials.gov identifier: NCT02331823.
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Affiliation(s)
- Liping Yan
- Department of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiaohong Kan
- Department of Science and Education, Anhui Chest Hospital, Hefei, China
| | - Limei Zhu
- Department of Tuberculosis, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Kaijin Xu
- Department of Infectious Diseases, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Jianjun Yin
- Department of Outpatient, Center for Tuberculosis Control of Guangdong Province, Guangzhou, China
| | - Li Jie
- Second Department of Tuberculosis, Chest Hospital of Xinjiang Uygur Autonomous Region of The PRC, Urumqi, China
| | - Yong Li
- Department of Pulmonary Medicine, The Guangxi Zhuang Autonomous Region Longtan Hospital, Liuzhou, China
| | - Ji Yue
- Department of Tuberculosis, Public Health Clinical Center of Chengdu, Chengdu, China
| | - Wenyu Cui
- Department of Tuberculosis, Changchun Infectious Diseases Hospital, Changchun, China
| | - Juan Du
- Department of Respiration, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Lihua Wang
- Department of Tuberculosis Medicine, Taiyuan Tuberculosis Hospital, Taiyuan, China
| | - Shouyong Tan
- Department of Tuberculosis Medicine, Guangzhou Chest Hospital, Guangzhou, China
| | - Xiangao Jiang
- Department of Infectious Diseases, WenZhou Central Hospital, Wenzhou, China
| | - Zhong Zeng
- Department of Tuberculosis, The Fifth People's Hospital of Ganzhou, Chizhu, Shuixi Town, Ganzhou, China
| | - Shenghui Xu
- Fifth Department of Internal Medicine, Hunan Institute for Tuberculosis Control, Changsha, China
| | - Lin Wang
- Department of Pulmonary, 85th Hospital of peaple's Liberation Army, Shanghai, China
| | - Yu Chen
- Department of Tuberculosis, Henan Province Infectious Diseases Hospital, Zhengzhou, China
| | - Weiguo He
- Department of Tuberculosis, The Third People's Hospital of Hengyang, ErTang Village, Yumu Town, Hengyang, China
| | - Xusheng Gao
- Department of Tuberculosis, Shandong Provincial Chest Hospital, Jinan, China
| | - Dapeng Bai
- Department of Tuberculosis, Tianjin Haihe Hospital, Shuanggang town, Tianjin, China
| | - Chengjie Zhao
- Department of Tuberculosis, Jinhua Guangfu Hospital of Zhejiang Province, Jinhua, China
| | - Xiaofeng Yan
- Department of Medical Affair, Chongqing Infectious Disease Medical Center, Xiaolongkan, Chongqing, China
| | - Yuyin Zhu
- Second Department of Pulmonary, Ningbo No. 2 Hospital, Ningbo, China
| | - Yumei Fan
- Tuberculosis Treatment Center, Hangzhou Red Cross Hospital, Hangzhou, China
| | - Lanpin Xie
- Department of Tuberculosis, Hebei Chest Hospital, Shijiazhuang, China
| | - Aihua Deng
- Second Department of Internal Medicine, Jiangxi Chest Hospital, Nanchang, China
| | - Qing Zhang
- Department of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Heping Xiao
- Department of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
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