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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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2
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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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3
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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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4
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Pérez-Llanos FJ, Dreyer V, Barilar I, Utpatel C, Kohl TA, Murcia MI, Homolka S, Merker M, Niemann S. Transmission Dynamics of a Mycobacterium tuberculosis Complex Outbreak in an Indigenous Population in the Colombian Amazon Region. Microbiol Spectr 2023; 11:e0501322. [PMID: 37222610 PMCID: PMC10269451 DOI: 10.1128/spectrum.05013-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 05/04/2023] [Indexed: 05/25/2023] Open
Abstract
Whole genome sequencing (WGS) has become the main tool for studying the transmission of Mycobacterium tuberculosis complex (MTBC) strains; however, the clonal expansion of one strain often limits its application in local MTBC outbreaks. The use of an alternative reference genome and the inclusion of repetitive regions in the analysis could potentially increase the resolution, but the added value has not yet been defined. Here, we leveraged short and long WGS read data of a previously reported MTBC outbreak in the Colombian Amazon Region to analyze possible transmission chains among 74 patients in the indigenous setting of Puerto Nariño (March to October 2016). In total, 90.5% (67/74) of the patients were infected with one distinct MTBC strain belonging to lineage 4.3.3. Employing a reference genome from an outbreak strain and highly confident single nucleotide polymorphisms (SNPs) in repetitive genomic regions, e.g., the proline-glutamic acid/proline-proline-glutamic-acid (PE/PPE) gene family, increased the phylogenetic resolution compared to a classical H37Rv reference mapping approach. Specifically, the number of differentiating SNPs increased from 890 to 1,094, which resulted in a more granular transmission network as judged by an increasing number of individual nodes in a maximum parsimony tree, i.e., 5 versus 9 nodes. We also found in 29.9% (20/67) of the outbreak isolates, heterogenous alleles at phylogenetically informative sites, suggesting that these patients are infected with more than one clone. In conclusion, customized SNP calling thresholds and employment of a local reference genome for a mapping approach can improve the phylogenetic resolution in highly clonal MTBC populations and help elucidate within-host MTBC diversity. IMPORTANCE The Colombian Amazon around Puerto Nariño has a high tuberculosis burden with a prevalence of 1,267/100,000 people in 2016. Recently, an outbreak of Mycobacterium tuberculosis complex (MTBC) bacteria among the indigenous populations was identified with classical MTBC genotyping methods. Here, we employed a whole-genome sequencing-based outbreak investigation in order to improve the phylogenetic resolution and gain new insights into the transmission dynamics in this remote Colombian Amazon Region. The inclusion of well-supported single nucleotide polymorphisms in repetitive regions and a de novo-assembled local reference genome provided a more granular picture of the circulating outbreak strain and revealed new transmission chains. Multiple patients from different settlements were possibly infected with at least two different clones in this high-incidence setting. Thus, our results have the potential to improve molecular surveillance studies in other high-burden settings, especially regions with few clonal multidrug-resistant (MDR) MTBC lineages/clades.
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Affiliation(s)
| | - Viola Dreyer
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
| | - Ivan Barilar
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
| | - Christian Utpatel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
| | - Thomas A. Kohl
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
| | - Martha Isabel Murcia
- Grupo MICOBAC-UN, Departamento de Microbiología, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Susanne Homolka
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
| | - Matthias Merker
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
- Evolution of the Resistome, Research Center Borstel, Borstel, Germany
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Hamburg-Lübeck-Borstel-Riems, Germany
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5
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Martinecz A, Boeree MJ, Diacon AH, Dawson R, Hemez C, Aarnoutse RE, Abel Zur Wiesch P. High rifampicin peak plasma concentrations accelerate the slow phase of bacterial decline in tuberculosis patients: Evidence for heteroresistance. PLoS Comput Biol 2023; 19:e1011000. [PMID: 37053266 PMCID: PMC10128972 DOI: 10.1371/journal.pcbi.1011000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 04/25/2023] [Accepted: 03/06/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Antibiotic treatments are often associated with a late slowdown in bacterial killing. This separates the killing of bacteria into at least two distinct phases: a quick phase followed by a slower phase, the latter of which is linked to treatment success. Current mechanistic explanations for the in vitro slowdown are either antibiotic persistence or heteroresistance. Persistence is defined as the switching back and forth between susceptible and non-susceptible states, while heteroresistance is defined as the coexistence of bacteria with heterogeneous susceptibilities. Both are also thought to cause a slowdown in the decline of bacterial populations in patients and therefore complicate and prolong antibiotic treatments. Reduced bacterial death rates over time are also observed within tuberculosis patients, yet the mechanistic reasons for this are unknown and therefore the strategies to mitigate them are also unknown. METHODS AND FINDINGS We analyse a dose ranging trial for rifampicin in tuberculosis patients and show that there is a slowdown in the decline of bacteria. We show that the late phase of bacterial killing depends more on the peak drug concentrations than the total drug exposure. We compare these to pharmacokinetic-pharmacodynamic models of rifampicin heteroresistance and persistence. We find that the observation on the slow phase's dependence on pharmacokinetic measures, specifically peak concentrations are only compatible with models of heteroresistance and incompatible with models of persistence. The quantitative agreement between heteroresistance models and observations is very good ([Formula: see text]). To corroborate the importance of the slowdown, we validate our results by estimating the time to sputum culture conversion and compare the results to a different dose ranging trial. CONCLUSIONS Our findings indicate that higher doses, specifically higher peak concentrations may be used to optimize rifampicin treatments by accelerating bacterial killing in the slow phase. It adds to the growing body of literature supporting higher rifampicin doses for shortening tuberculosis treatments.
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Affiliation(s)
- Antal Martinecz
- Department of Pharmacy, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
- Center for Infectious Disease Dynamics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - Martin J Boeree
- Department of Lung Diseases, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, the Netherlands
| | - Andreas H Diacon
- Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa
- TASK Applied Science, Cape Town, South Africa
| | - Rodney Dawson
- Division of Pulmonology and Department of Medicine, University of Cape Town, Cape Town, South Africa
- University of Cape Town Lung Institute, Cape Town, South Africa
| | - Colin Hemez
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Graduate program in Biophysics, Harvard University, Boston, Massachusetts, United States of America
| | - Rob E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands
| | - Pia Abel Zur Wiesch
- Department of Pharmacy, Faculty of Health Sciences, University of Tromsø, Tromsø, Norway
- Center for Infectious Disease Dynamics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, United States of America
- Department of Biology, Eberly College of Science, The Pennsylvania State University, University Park, Pennsylvania, United States of America
- Norwegian Institute of Public Health (Folkehelseinstitutt), Oslo, Norway
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Maghradze N, Jugheli L, Borrell S, Tukvadze N, Kempker RR, Blumberg HM, Gagneux S. Developing customized stepwise MIRU-VNTR typing for tuberculosis surveillance in Georgia. PLoS One 2022; 17:e0264472. [PMID: 35231041 PMCID: PMC8887741 DOI: 10.1371/journal.pone.0264472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 02/10/2022] [Indexed: 11/19/2022] Open
Abstract
Introduction
Mycobacterial Interspersed Repetitive Units–Variable Tandem Repeats (MIRU-VNTR) typing has been widely used for molecular epidemiological studies of tuberculosis (TB). However, genotyping tools for Mycobacterium tuberculosis (Mtb) may be limiting in some settings due to high cost and workload. In this study developed a customized stepwise MIRU-VNTR typing that prioritizes high discriminatory loci and validated this method using penitentiary system cohort in the country of Georgia.
Methods
We used a previously generated MIRU-VNTR dataset from recurrent TB cases (32 cases) in Georgia and a new dataset of TB cases from the penitentiary system (102 cases) recruited from 2014 to 2015. A Hunter-Gaston Discriminatory Index (HGDI) was calculated utilizing a 24 standard loci panel, to select high discriminatory power loci, subsequently defined as the customized Georgia-specific set of loci for initial typing. The remaining loci were scored and hierarchically grouped for second and third step typing of the cohort. We then compared the processing time and costs of the customized stepwise method to the standard 24-loci method.
Results
For the customized Georgia-specific set that was used for initial typing, 10 loci were selected with a minimum value of 0.32 to the highest HGDI score locus. Customized 10 loci (step 1) typing of 102 Mtb patient isolates revealed 35.7% clustered cases. This proportion was reduced to 19.5% after hierarchical application of 2nd and 3rd step typing with the corresponding groups of loci. Our customized stepwise MIRU-VNTR genotyping approach reduced the quantity of samples to be typed and therefore overall processing time and costs by 42.6% each.
Conclusion
Our study shows that our customized stepwise MIRU-VNTR typing approach is a valid alternative of standard MIRI-VNTR typing panels for molecular epidemiological investigation in Georgia that saves time, workload and costs. Similar approaches could be developed for other settings.
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Affiliation(s)
- Nino Maghradze
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Levan Jugheli
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Sonia Borrell
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Nestani Tukvadze
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Russell R. Kempker
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, United States of America
| | - Henry M. Blumberg
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, United States of America
- Departments of Epidemiology and Global Health, Rollins School of Public Health of Emory University, Atlanta, GA, United States of America
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- * E-mail:
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Kone B, Somboro AM, Kone M, Holl JL, Baya B, Dabitao D, Diallo D, Diarra B, Kone A, Sarro YDS, Sanogo M, Togo AC, Murphy RL, Diallo S, Coulibaly N, Camara F, Samake S, Diakite M, Doumbia S, Maiga M. Molecular epidemiology and genetic diversity of Mycobacterium tuberculosis complex in referral health centers of Bamako, Mali: What is new? Int J Infect Dis 2022; 117:204-211. [PMID: 35134562 PMCID: PMC9055845 DOI: 10.1016/j.ijid.2022.01.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/22/2022] [Accepted: 01/27/2022] [Indexed: 11/29/2022] Open
Abstract
Background and Aims: Tuberculosis (TB) remains an important global health issue worldwide. Despite this scourge threatening many human lives, especially in developing countries, thus far, no advanced molecular epidemiology study using recent and more accurate tools has been conducted in Mali. Therefore, this study aimed to use variable-number tandem repeats of mycobacterial interspersed repetitive units (MIRU-VNTR) technology coupled with the spoligotyping method to accurately determine the hot spots and establish the epidemiological transmission links of TB in Bamako, Mali. Methods: In a cross-sectional study, 245 isolates of Mycobacterium tuberculosis complex (MTBC) were characterized using spoligotyping and MIRU-VNTR, and an epidemiological investigation was conducted. Results: Of the 245 isolates, 184 (75.1%) were formally identified. The most widespread strain was the Cameroon strain (83; 45.1%). Eight major clusters were identified: Ghana (27; 14.7%), West African 2 (22; 12%), Haarlem (13; 7.1%), H37Rv (t) (8; 4.3%), Latin American Mediterranean (8; 4.3%), and Uganda I and II (6; 3.3%). Statistical analysis showed a significant difference between lineages from the respective referral health centers of Bamako, Mali (P = 0.01). Conclusion: This study establishes, for the first time, an accurate spatial distribution of circulating MTB strains in Bamako, Mali. The data was used to identify strains and “hot spots” causing TB infection and can also be used for more targeted public health responses, particularly for hot spots of drug-resistant strains.
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Affiliation(s)
- Bourahima Kone
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali.
| | - Anou M Somboro
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali; School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Mahamadou Kone
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Jane L Holl
- Center for Healthcare Delivery Science and Innovation, University of Chicago, Chicago, Illinois, USA
| | - Bocar Baya
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Djeneba Dabitao
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Dramane Diallo
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Bassirou Diarra
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Amadou Kone
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Yeya Dit Sadio Sarro
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Moumine Sanogo
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Antieme Cg Togo
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Robert L Murphy
- Biomedical Engineering Department, Northwestern University, Evanston, Illinois, USA
| | - Souleymane Diallo
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Nadie Coulibaly
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Fatoumata Camara
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Seydou Samake
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Mahamadou Diakite
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Seydou Doumbia
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali
| | - Mamoudou Maiga
- University Clinical Research Center (UCRC) Laboratory, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali; Biomedical Engineering Department, Northwestern University, Evanston, Illinois, USA.
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8
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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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9
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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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10
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Castro RAD, Borrell S, Gagneux S. The within-host evolution of antimicrobial resistance in Mycobacterium tuberculosis. FEMS Microbiol Rev 2021; 45:fuaa071. [PMID: 33320947 PMCID: PMC8371278 DOI: 10.1093/femsre/fuaa071] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 12/11/2020] [Indexed: 12/12/2022] Open
Abstract
Tuberculosis (TB) has been responsible for the greatest number of human deaths due to an infectious disease in general, and due to antimicrobial resistance (AMR) in particular. The etiological agents of human TB are a closely-related group of human-adapted bacteria that belong to the Mycobacterium tuberculosis complex (MTBC). Understanding how MTBC populations evolve within-host may allow for improved TB treatment and control strategies. In this review, we highlight recent works that have shed light on how AMR evolves in MTBC populations within individual patients. We discuss the role of heteroresistance in AMR evolution, and review the bacterial, patient and environmental factors that likely modulate the magnitude of heteroresistance within-host. We further highlight recent works on the dynamics of MTBC genetic diversity within-host, and discuss how spatial substructures in patients' lungs, spatiotemporal heterogeneity in antimicrobial concentrations and phenotypic drug tolerance likely modulates the dynamics of MTBC genetic diversity in patients during treatment. We note the general characteristics that are shared between how the MTBC and other bacterial pathogens evolve in humans, and highlight the characteristics unique to the MTBC.
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Affiliation(s)
- Rhastin A D Castro
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Basel, Switzerland
- University of Basel, Petersplatz 1, 4001 Basel, Basel, Switzerland
| | - Sonia Borrell
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Basel, Switzerland
- University of Basel, Petersplatz 1, 4001 Basel, Basel, Switzerland
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4051 Basel, Basel, Switzerland
- University of Basel, Petersplatz 1, 4001 Basel, Basel, Switzerland
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11
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Fernandez Do Porto DA, Monteserin J, Campos J, Sosa EJ, Matteo M, Serral F, Yokobori N, Benevento AF, Poklepovich T, Pardo A, Wainmayer I, Simboli N, Castello F, Paul R, Martí M, López B, Turjanski A, Ritacco V. Five-year microevolution of a multidrug-resistant Mycobacterium tuberculosis strain within a patient with inadequate compliance to treatment. BMC Infect Dis 2021; 21:394. [PMID: 33926375 PMCID: PMC8082761 DOI: 10.1186/s12879-021-06069-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 04/14/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Whole-genome sequencing has shown that the Mycobacterium tuberculosis infection process can be more heterogeneous than previously thought. Compartmentalized infections, exogenous reinfections, and microevolution are manifestations of this clonal complexity. The analysis of the mechanisms causing the microevolution -the genetic variability of M. tuberculosis at short time scales- of a parental strain into clonal variants with a patient is a relevant issue that has not been yet completely addressed. To our knowledge, a whole genome sequence microevolution analysis in a single patient with inadequate adherence to treatment has not been previously reported. CASE PRESENTATION In this work, we applied whole genome sequencing analysis for a more in-depth analysis of the microevolution of a parental Mycobacterium tuberculosis strain into clonal variants within a patient with poor treatment compliance in Argentina. We analyzed the whole-genome sequence of 8 consecutive Mycobacterium tuberculosis isolates obtained from a patient within 57-months of intermittent therapy. Nineteen mutations (9 short-term, 10 fixed variants) emerged, most of them associated with drug resistance. The first isolate was already resistant to isoniazid, rifampicin, and streptomycin, thereafter the strain developed resistance to fluoroquinolones and pyrazinamide. Surprisingly, isolates remained susceptible to the pro-drug ethionamide after acquiring a frameshift mutation in ethA, a gene required for its activation. We also found a novel variant, (T-54G), in the 5' untranslated region of whiB7 (T-54G), a region allegedly related to kanamycin resistance. Notably, discrepancies between canonical and phage-based susceptibility testing to kanamycin were previously found for the isolate harboring this mutation. In our patient, microevolution was mainly driven by drug selective pressure. Rare short-term mutations fixed together with resistance-conferring mutations during therapy. CONCLUSIONS This report highlights the relevance of whole-genome sequencing analysis in the clinic for characterization of pre-XDR and MDR resistance profile, particularly in patients with incomplete and/or intermittent treatment.
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Affiliation(s)
- Darío A Fernandez Do Porto
- Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Johana Monteserin
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Josefina Campos
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Ezequiel J Sosa
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Mario Matteo
- Instituto de Tisioneumonología Raúl F. Vaccarezza, Hospital de Infecciosas Dr. F. J. Muñiz, Buenos Aires, Argentina
| | - Federico Serral
- Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Noemí Yokobori
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Andrés Fernández Benevento
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Tomás Poklepovich
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Agustín Pardo
- Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Ingrid Wainmayer
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Norberto Simboli
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Florencia Castello
- Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Roxana Paul
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Marcelo Martí
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Beatriz López
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Adrián Turjanski
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, IQUIBICEN, CONICET, Buenos Aires, Argentina.
| | - Viviana Ritacco
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina.
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
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Zhu J, Bao Z, Xie Y, Werngren J, Hu Y, Davies Forsman L, Bruchfeld J, Hoffner S. Additional drug resistance for Mycobacterium tuberculosis during turnaround time for drug-susceptibility testing in China: A multicenter observational cohort study. Int J Infect Dis 2021; 108:81-88. [PMID: 33862209 DOI: 10.1016/j.ijid.2021.04.027] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 04/07/2021] [Accepted: 04/08/2021] [Indexed: 10/21/2022] Open
Abstract
BACKGROUND Although phenotypic drug susceptibility testing (DST) of Mycobacterium tuberculosis (Mtb) takes up to 6-8 weeks, little is known about how drug susceptibility is affected during this period. METHODS We performed a prospective cohort study to investigate the development of drug resistance (DR) during turnaround time (TAT), including 359 pulmonary tuberculosis (PTB) patients with a baseline DST result of an Mtb isolate collected at TB diagnosis and a follow-up DST result of an Mtb isolate collected when baseline DST result was available between 2013 and 2018. Whole-genome sequencing (WGS) was used to differentiate between acquired drug resistance, exogenous reinfection, and mixed infection. RESULTS Among the studied patients, during TAT for DST, 116 (32.3%) developed DR to four first-line drugs (rifampicin, isoniazid, pyrazinamide, ethambutol). Among 116 pairs of isolates included for WGS, 21 pairs were classified as acquired drug resistance with single nucleotide polymorphisms (SNPs) differences less than 12. Four pairs with an intermediate SNPs differences displayed minor differences in related genotypes and were assessed as mixed infection. The remaining 91 pairs had high SNPs differences consistent with exogenous reinfection. CONCLUSIONS The exogenous reinfection of drug-resistant strains played a vital role in the development of DR of Mtb isolates during TAT for DST, highlighting the need for both rapid DST methods and improved infection control.
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Affiliation(s)
- Jiahui Zhu
- School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Ziwei Bao
- The Fifth People's Hospital of Suzhou, Infectious Disease Hospital Affiliated to Soochow University, Suzhou, China
| | - Yan Xie
- Department Tuberculosis Control, Zigong Center for Disease Control and Prevention, Zigong, China
| | - Jim Werngren
- Department of Microbiology, The Public Health Agency of Sweden, Stockholm, Sweden
| | - Yi Hu
- School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China.
| | - Lina Davies Forsman
- Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden; Department of Medicine, Division of Infectious Diseases, Karolinska Institutet Solna, Sweden
| | - Judith Bruchfeld
- Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden; Department of Medicine, Division of Infectious Diseases, Karolinska Institutet Solna, Sweden
| | - Sven Hoffner
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
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Marín AV, Rastogi N, Couvin D, Mape V, Murcia MI. First approach to the population structure of Mycobacterium tuberculosis complex in the indigenous population in Puerto Nariño-Amazonas, Colombia. PLoS One 2021; 16:e0245084. [PMID: 33411781 PMCID: PMC7790298 DOI: 10.1371/journal.pone.0245084] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 12/21/2020] [Indexed: 11/18/2022] Open
Abstract
Introduction Tuberculosis affects vulnerable groups to a greater degree, indigenous population among them. Objective To determine molecular epidemiology of clinical isolates of Mycobacterium tuberculosis circulating in an indigenous population through Spoligotyping and 24-loci MIRU-VNTR. Methodology A descriptive cross-sectional study was conducted in 23 indigenous communities of Puerto Nariño-Amazonas, Colombia. Recovered clinical isolates were genotyped. For genotyping analyzes global SITVIT2 database and the MIRU-VNTRplus web portal were used. Results 74 clinical isolates were recovered. Genotyping of clinical isolates by spoligotyping determined 5 different genotypes, all of them belonged to Euro-American lineage. By MIRU-VNTR typing, a total of 14 different genotypes were recorded. Furthermore, polyclonal infection was found in two patients from the same community. The combination of the two methodologies determined the presence of 19 genotypes, 8 formed clusters with 63 clinical isolates in total. Based on epidemiological information, it was possible to establish a potential chain of active transmission in 10/63 (15.9%) patients. Conclusions High genomic homogeneity was determined in the indigenous population suggesting possible chains of active transmission. The results obtained showed that specific genotypes circulating among the indigenous population of Colombia are significantly different from those found in the general population.
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Affiliation(s)
- Alejandro Vega Marín
- MICOBAC-UN, Departamento de Microbiología, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Nalin Rastogi
- WHO Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de la Guadeloupe, Abymes, Guadeloupe, France
| | - David Couvin
- WHO Supranational TB Reference Laboratory, Unité de la Tuberculose et des Mycobactéries, Institut Pasteur de la Guadeloupe, Abymes, Guadeloupe, France
| | - Viviana Mape
- MICOBAC-UN, Departamento de Microbiología, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Martha Isabel Murcia
- MICOBAC-UN, Departamento de Microbiología, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia
- * E-mail:
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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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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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Abascal E, Herranz M, Ruiz Serrano MJ, Fernández-González F, Muñoz P, Gotuzzo E, García de Viedma D. In-depth analysis of a mixed Mycobacterium tuberculosis infection involving a multidrug-resistant strain and a susceptible strain. Clin Microbiol Infect 2020; 27:641-643. [PMID: 33007480 DOI: 10.1016/j.cmi.2020.09.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 09/19/2020] [Accepted: 09/20/2020] [Indexed: 11/20/2022]
Affiliation(s)
- Estefanía Abascal
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Marta Herranz
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades Respiratorias (CIBERES), Spain
| | - María Jesús Ruiz Serrano
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Francisco Fernández-González
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Penitenciary Unit, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Patricia Muñoz
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Department of Medicine, Facultad de Medicina. Universidad Complutense de Madrid, Spain
| | - Eduardo Gotuzzo
- TB Research Unit, Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Darío García de Viedma
- Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; CIBER Enfermedades Respiratorias (CIBERES), Spain.
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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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Kayomo MK, Mbula VN, Aloni M, André E, Rigouts L, Boutachkourt F, de Jong BC, Nkiere NM, Dean AS. Targeted next-generation sequencing of sputum for diagnosis of drug-resistant TB: results of a national survey in Democratic Republic of the Congo. Sci Rep 2020; 10:10786. [PMID: 32612134 PMCID: PMC7329841 DOI: 10.1038/s41598-020-67479-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 06/02/2020] [Indexed: 11/23/2022] Open
Abstract
The surveillance of drug resistance among tuberculosis (TB) patients is central to preventing the spread of antimicrobial resistance. The Democratic Republic of the Congo (DR Congo) is classified by the World Health Organization (WHO) as a country with a high burden of TB and multidrug-resistant TB (MDR-TB), but there are no nationally representative data on drug resistance. In 2016-2017, a national survey of TB patients was conducted in 108 microscopy centres across all 11 provinces of the country using innovative molecular approaches. Sputum samples were collected from 1,545 new and 163 previously treated patients. These were tested by the Xpert MTB/RIF assay, followed by targeted next-generation sequencing performed directly on sputum. The prevalence of rifampicin resistance was low, at 1.8% (95% CI: 1.0-3.2) among new and 17.3% (95% CI: 11.9-24.4) among previously treated patients. Resistance to pyrazinamide, fluoroquinolones and second-line injectables was also low. The prevalence of resistance to isoniazid among rifampicin-susceptible patients was higher, at 6.6% (95% CI: 4.4-9.8) among new and 8.7% (95% : 3.2-21.2) among previously treated patients. Diagnosing and treating isoniazid-resistant patients remains a challenge, given that many will be missed by the current national diagnostic algorithm that is driven by detecting rifampicin resistance by Xpert MTB/RIF. This is the first nationwide survey incorporating targeted sequencing directly on sputum. It serves as a proof-of-concept for other settings that do yet have rapid specimen transport networks or capacity to conduct culture.
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MESH Headings
- Adolescent
- Adult
- Aged
- Child
- Child, Preschool
- Cross-Sectional Studies
- Democratic Republic of the Congo/epidemiology
- Female
- High-Throughput Nucleotide Sequencing
- Humans
- Infant
- Infant, Newborn
- Male
- Middle Aged
- Mycobacterium tuberculosis/genetics
- Prevalence
- Sputum/microbiology
- Tuberculosis, Multidrug-Resistant/diagnosis
- Tuberculosis, Multidrug-Resistant/drug therapy
- Tuberculosis, Multidrug-Resistant/epidemiology
- Tuberculosis, Multidrug-Resistant/genetics
- Tuberculosis, Pulmonary/diagnosis
- Tuberculosis, Pulmonary/drug therapy
- Tuberculosis, Pulmonary/epidemiology
- Tuberculosis, Pulmonary/genetics
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Affiliation(s)
- Michel Kaswa Kayomo
- National Tuberculosis Program et Laboratoire National de Référence des Mycobactéries (LNRM), Kinshasa, Democratic Republic of the Congo
- Faculté de Médecine, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Vital Nkake Mbula
- National Tuberculosis Program et Laboratoire National de Référence des Mycobactéries (LNRM), Kinshasa, Democratic Republic of the Congo
| | - Muriel Aloni
- National Tuberculosis Program et Laboratoire National de Référence des Mycobactéries (LNRM), Kinshasa, Democratic Republic of the Congo
- Faculté de Médecine, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Emmanuel André
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
| | - Leen Rigouts
- Institute of Tropical Medicine, Antwerp, Belgium
- Antwerp University, Antwerp, Belgium
| | - Fairouz Boutachkourt
- Pôle de Microbiologie Médicale, Institut de Recherche Expérimental Et Clinique, UC Louvain, Brussels, Belgium
| | | | - Nicolas M Nkiere
- World Health Organization, Kinshasa, Democratic Republic of the Congo
| | - Anna S Dean
- Global TB Programme, World Health Organization, Geneva, Switzerland.
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Gabrielian A, Engle E, Harris M, Wollenberg K, Glogowski A, Long A, Hurt DE, Rosenthal A. Comparative analysis of genomic variability for drug-resistant strains of Mycobacterium tuberculosis: The special case of Belarus. INFECTION GENETICS AND EVOLUTION 2020; 78:104137. [DOI: 10.1016/j.meegid.2019.104137] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 12/05/2019] [Accepted: 12/06/2019] [Indexed: 01/27/2023]
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Reis AC, Albuquerque T, Botelho A, Cunha MV. Polyclonal infection as a new scenario in Mycobacterium caprae epidemiology. Vet Microbiol 2019; 240:108533. [PMID: 31902500 DOI: 10.1016/j.vetmic.2019.108533] [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: 07/14/2019] [Revised: 11/27/2019] [Accepted: 11/27/2019] [Indexed: 11/30/2022]
Abstract
Portugal is one of the European Union countries with an ongoing eradication program for bovine tuberculosis (TB), which does not include systematic goat testing. However, surveillance in small ruminants is increasingly important, since goat and sheep can harbour Mycobacterium caprae and be an infection source to cattle with impact in the success of bovine TB control. Furthermore, the information regarding the epidemiology and biology of M. caprae is quite limited comparing to the cognate bovine-adapted ecotype, M. bovis. In this work, we applied spoligotyping and MIRU-VNTR (Mycobacterial Interspersed Repetitive Units-Variable Number of Tandem Repeats) to M. caprae obtained between 2003 and 2014 from 55 animal hosts, including goat (n = 29), cattle (n = 21), sheep (n = 1) and wild boar (n = 4) from Portugal. The molecular analysis revealed a unique spoligotyping pattern (SB0157) and 24 MIRU types. Genotyping of serial M. caprae from herds with recurrent outbreaks enabled further discrimination of epidemiologically related isolates, supporting a clonal structure in Portugal and denoting the emergence of clonal diversity at the herd level, more apparent for MIRU4. Results suggest a founder effect and adaptive genotypic divergence, paving the way for sympatric speciation. Double allele findings at MIRU4 in over 20 % of infected animals indicates that co-infection and in vivo microevolution may be frequent in the goat-adapted ecotype. While polyclonal infection appears common in M. caprae epidemiology, the functional significance of subtle genotypic variations remains to be disclosed, namely at the interface with the host, to expand knowledge on the epidemiology and biology of this neglected ecotype.
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Affiliation(s)
- Ana C Reis
- INIAV, IP - National Institute for Agrarian and Veterinary Research, Av. da República, Quinta do Marquês, Edifício Principal, Piso 1, 2780 -157 Oeiras, Portugal; cE3c - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências da Universidade de Lisboa, Edifício C2, 4º Piso, Campo Grande, 1749-016 Lisboa, Portugal; BioISI - Biosystems & Integrative Sciences Institute, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal
| | - Teresa Albuquerque
- INIAV, IP - National Institute for Agrarian and Veterinary Research, Av. da República, Quinta do Marquês, Edifício Principal, Piso 1, 2780 -157 Oeiras, Portugal
| | - Ana Botelho
- INIAV, IP - National Institute for Agrarian and Veterinary Research, Av. da República, Quinta do Marquês, Edifício Principal, Piso 1, 2780 -157 Oeiras, Portugal
| | - Mónica V Cunha
- INIAV, IP - National Institute for Agrarian and Veterinary Research, Av. da República, Quinta do Marquês, Edifício Principal, Piso 1, 2780 -157 Oeiras, Portugal; cE3c - Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências da Universidade de Lisboa, Edifício C2, 4º Piso, Campo Grande, 1749-016 Lisboa, Portugal; BioISI - Biosystems & Integrative Sciences Institute, Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisboa, Portugal.
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21
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Maghradze N, Jugheli L, Borrell S, Tukvadze N, Aspindzelashvili R, Avaliani Z, Reither K, Gagneux S. Classifying recurrent Mycobacterium tuberculosis cases in Georgia using MIRU-VNTR typing. PLoS One 2019; 14:e0223610. [PMID: 31626647 PMCID: PMC6799914 DOI: 10.1371/journal.pone.0223610] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 09/24/2019] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Recurrent tuberculosis (TB) is one of the main challenges in TB control. Genotyping based on Mycobacterial Interspersed Repetitive Units-Variable Tandem Repeats (MIRU-VNTR) has been widely used to differentiate between relapse and reinfection, which are the two main causes of recurrent TB. There is a lack of data regarding the causes of TB recurrence in Georgia, and while differentiating between relapse and reinfection plays a key role in defining appropriate interventions, the required genotyping methodologies have not been implemented. The objective of this study was to implement MIRU-VNTR genotyping at the National Center for Tuberculosis and Lung Diseases (NCTBLD) and differentiate between relapse and reinfection in multidrug resistant (MDR-) TB patients from Tbilisi, Georgia. METHODS Recurrent MDR tuberculosis cases from 2014-2016 diagnosed at NCTLD were included in the study when bacterial samples from both episodes were available. Genotyping based on the MIRU-VNTR 24 loci was implemented and used for differentiating between relapse and reinfection. Paired samples showing the same MIRU-VNTR pattern or one locus difference were classified as relapse, while two and more loci differences were treated as reinfection. Exact logistic regression was used to identify predictors of recurrence. RESULTS Thirty two MDR-TB patients (64 samples) were included and MIRU-VNTR 24 typing was performed on the corresponding paired samples. Of the 32 patients, 25 (83.3%) were identified as relapse while 5 (16.7%) were due to re-infection. Patients with a history of incarceration were significantly associated with TB reinfection (p< 0.05). CONCLUSION Recurrent TB in MDR patients in Georgia are mainly caused by relapse, raising concerns on the efficacy of the TB control program. An association between incarceration and reinfection likely reflects high levels of ongoing TB transmission in prisons, indicating the need for better TB infection control measures in these settings. Our results add to the rationale for implementing genotypic surveillance of TB more broadly to support TB control in Georgia.
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Affiliation(s)
- Nino Maghradze
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Levan Jugheli
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Sonia Borrell
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Nestani Tukvadze
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | | | - Zaza Avaliani
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Klaus Reither
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- * E-mail:
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22
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Whole genome sequencing of Mycobacterium tuberculosis: current standards and open issues. Nat Rev Microbiol 2019; 17:533-545. [DOI: 10.1038/s41579-019-0214-5] [Citation(s) in RCA: 155] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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23
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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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Elucidating Transmission Patterns of Endemic Mycobacterium avium subsp. paratuberculosis Using Molecular Epidemiology. Vet Sci 2019; 6:vetsci6010032. [PMID: 30897720 PMCID: PMC6466016 DOI: 10.3390/vetsci6010032] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 03/13/2019] [Accepted: 03/14/2019] [Indexed: 12/15/2022] Open
Abstract
Mycobacterial diseases are persistent and characterized by lengthy latent periods. Thus, epidemiological models require careful delineation of transmission routes. Understanding transmission routes will improve the quality and success of control programs. We aimed to study the infection dynamics of Mycobacterium avium subsp. paratuberculosis (MAP), the causal agent of ruminant Johne’s disease, and to distinguish within-host mutation from individual transmission events in a longitudinally MAP-defined dairy herd in upstate New York. To this end, semi-annual fecal samples were obtained from a single dairy herd over the course of seven years, in addition to tissue samples from a selection of culled animals. All samples were cultured for MAP, and multi-locus short-sequence repeat (MLSSR) typing was used to determine MAP SSR types. We concluded from these precise MAP infection data that, when the tissue burden remains low, the majority of MAP infections are not detectable by routine fecal culture but will be identified when tissue culture is performed after slaughter. Additionally, we determined that in this herd vertical infection played only a minor role in MAP transmission. By means of extensive and precise longitudinal data from a single dairy herd, we have come to new insights regarding MAP co-infections and within-host evolution.
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25
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The Evolution of Genotyping Strategies To Detect, Analyze, and Control Transmission of Tuberculosis. Microbiol Spectr 2019; 6. [PMID: 30338753 DOI: 10.1128/microbiolspec.mtbp-0002-2016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The introduction of genotypic tools to analyze Mycobacterium tuberculosis isolates has transformed our knowledge of the transmission dynamics of this pathogen. We discuss the development of the laboratory methods that have been applied in recent years to study the epidemiology of M. tuberculosis. This review integrates two approaches: on the one hand, it considers how genotyping techniques have evolved over the years; and on the other, it looks at how the way we think these techniques should be applied has changed. We begin by examining the application of fingerprinting tools to suspected outbreaks only, before moving on to universal genotyping schemes, and finally we describe the latest real-time strategies used in molecular epidemiology. We also analyze refined approaches to obtaining epidemiological data from patients and to increasing the discriminatory power of genotyping by techniques based on genomic characterization. Finally, we review the development of integrative solutions to reconcile the speed of PCR-based methods with the high discriminatory power of whole-genome sequencing in easily implemented formats adapted to low-resource settings. Our analysis of future considerations highlights the need to bring together the three key elements of high-quality surveillance of transmission in tuberculosis, namely, speed, precision, and ease of implementation.
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26
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Roof I, Jajou R, Kamst M, Mulder A, de Neeling A, van Hunen R, van der Hoek W, van Soolingen D. Prevalence and Characterization of Heterogeneous Variable-Number Tandem-Repeat Clusters Comprising Drug-Susceptible and/or Variable Resistant Mycobacterium tuberculosis Complex Isolates in the Netherlands from 2004 to 2016. J Clin Microbiol 2018; 56:e00887-18. [PMID: 30158196 PMCID: PMC6204671 DOI: 10.1128/jcm.00887-18] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Accepted: 08/28/2018] [Indexed: 01/08/2023] Open
Abstract
The variable-number tandem-repeat (VNTR) typing method is used to study tuberculosis (TB) transmission. Clustering of Mycobacterium tuberculosis isolates with identical VNTR patterns is assumed to reflect recent transmission. Hence, clusters are thought to be homogeneous regarding antibiotic resistance. In practice, however, heterogeneous clusters are also identified. This study investigates the prevalence and characteristics of heterogeneous VNTR clusters and assesses whether isolates in these clusters remain clustered when subjected to whole-genome sequencing (WGS). In the period from 2004 to 2016, 9,072 isolates were included. Demographic and epidemiological linkage data were obtained from the Netherlands Tuberculosis Register. VNTR clusters were defined as homogeneous when isolates shared identical resistance profiles or as heterogeneous if both susceptible and (variable) resistant isolates were found. Multivariate logistic regression analysis was performed to identify factors associated with heterogeneous clustering. Isolates from 2016 were subjected to WGS, and a genetic distance of 12 single nucleotide polymorphisms (SNPs) was used as the cutoff for WGS clustering. In total, 4,661/9,072 (51%) isolates were clustered into 985 different VNTR clusters, of which 217 (22%) were heterogeneous. Patient characteristics associated with heterogeneous clustering were non-Dutch ethnicity (odds ratio [OR], 1.46 [95% confidence interval {CI}, 1.22 to 1.75]), asylum seeker (OR, 1.51 [95% CI, 1.24 to 1.85]), extrapulmonary TB (OR, 1.26 [95% CI, 1.09 to 1.46]), previous TB diagnosis (OR, 1.38 [95% CI, 1.04 to 1.82]), and not being a contact of a TB patient (OR, 1.35 [95% CI, 1.08 to 1.69]). With WGS, 34% of heterogeneous and 78% of homogeneous isolates from 2016 remained clustered. Heterogeneous VNTR clusters are common but seem to be explained by a substantial degree of false clustering by VNTR typing compared to WGS.
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Affiliation(s)
- Inge Roof
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Rana Jajou
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Miranda Kamst
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Arnout Mulder
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Albert de Neeling
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Rianne van Hunen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
- KNCV Tuberculosis Foundation, The Hague, the Netherlands
| | - Wim van der Hoek
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Dick van Soolingen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
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Sobkowiak B, Glynn JR, Houben RMGJ, Mallard K, Phelan JE, Guerra-Assunção JA, Banda L, Mzembe T, Viveiros M, McNerney R, Parkhill J, Crampin AC, Clark TG. Identifying mixed Mycobacterium tuberculosis infections from whole genome sequence data. BMC Genomics 2018; 19:613. [PMID: 30107785 PMCID: PMC6092779 DOI: 10.1186/s12864-018-4988-z] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Accepted: 07/31/2018] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Mixed, polyclonal Mycobacterium tuberculosis infection occurs in natural populations. Developing an effective method for detecting such cases is important in measuring the success of treatment and reconstruction of transmission between patients. Using whole genome sequence (WGS) data, we assess two methods for detecting mixed infection: (i) a combination of the number of heterozygous sites and the proportion of heterozygous sites to total SNPs, and (ii) Bayesian model-based clustering of allele frequencies from sequencing reads at heterozygous sites. RESULTS In silico and in vitro artificially mixed and known pure M. tuberculosis samples were analysed to determine the specificity and sensitivity of each method. We found that both approaches were effective in distinguishing between pure strains and mixed infection where there was relatively high (> 10%) proportion of a minor strain in the mixture. A large dataset of clinical isolates (n = 1963) from the Karonga Prevention Study in Northern Malawi was tested to examine correlations with patient characteristics and outcomes with mixed infection. The frequency of mixed infection in the population was found to be around 10%, with an association with year of diagnosis, but no association with age, sex, HIV status or previous tuberculosis. CONCLUSIONS Mixed Mycobacterium tuberculosis infection was identified in silico using whole genome sequence data. The methods presented here can be applied to population-wide analyses of tuberculosis to estimate the frequency of mixed infection, and to identify individual cases of mixed infections. These cases are important when considering the evolution and transmission of the disease, and in patient treatment.
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Affiliation(s)
- Benjamin Sobkowiak
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Judith R. Glynn
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Rein M. G. J. Houben
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, London, UK
| | - Kim Mallard
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Jody E. Phelan
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - José Afonso Guerra-Assunção
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
- Bill Lyons Informatics Centre, University College London, London, UK
| | | | | | - Miguel Viveiros
- Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Ruth McNerney
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | | | - Amelia C. Crampin
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- Karonga Prevention Study, Chilumba, Malawi
| | - Taane G. Clark
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
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Wyllie DH, Davidson JA, Grace Smith E, Rathod P, Crook DW, Peto TEA, Robinson E, Walker T, Campbell C. A Quantitative Evaluation of MIRU-VNTR Typing Against Whole-Genome Sequencing for Identifying Mycobacterium tuberculosis Transmission: A Prospective Observational Cohort Study. EBioMedicine 2018; 34:122-130. [PMID: 30077721 PMCID: PMC6116353 DOI: 10.1016/j.ebiom.2018.07.019] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 07/13/2018] [Accepted: 07/15/2018] [Indexed: 12/24/2022] Open
Abstract
Background Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem Repeat (MIRU-VNTR) typing is widely used in high-income countries to determine Mycobacterium tuberculosis relatedness. Whole-genome sequencing (WGS) is known to deliver greater specificity, but no quantitative prospective comparison has yet been undertaken. Methods We studied isolates from the English Midlands, sampled consecutively between 1 January 2012 and 31 December 2015. In addition to routinely performed MIRU-VNTR typing, DNA was extracted from liquid cultures and sequenced using Illumina technology. Demographic and epidemiological data for the relevant patients were extracted from the Enhanced Tuberculosis Surveillance system run by Public Health England. Closely related samples, defined using a threshold of five single nucleotide variants (SNVs), were compared to samples with identical MIRU-VNTR profiles, to samples from individuals with shared epidemiological risk factors, and to those with both characteristics. Findings 1999 patients were identified for whom at least one M. tuberculosis isolate had been MIRU-VNTR typed and sequenced. Comparing epidemiological risk factors with close genetic relatedness, only co-residence had a positive predictive value of over 5%. Excluding co-resident individuals, 18.6% of patients with identical MIRU-VNTR profiles were within 5 SNVs. Where patients also shared social risk factors and ethnic group, this rose to 48%. Only 8% of MIRU-VNTR linked pairs in lineage 1 were within 5 SNV, compared to 31% in lineage 4. Interpretation In the setting studied, this molecular epidemiological study shows MIRU-VNTR typing and epidemiological risk factors are poorly predictive of close genomic relatedness, assessed by SNV. MIRU-VNTR performance varies markedly by lineage. Funding Public Health England, Health Innovation Challenge Fund, NIHR Health Protection Research Unit Oxford, NIHR Oxford Biomedical Research Centre. M. tuberculosis relatedness was measured by MIRU-VNTR typing and single nucleotide variants (SNV). In consecutive isolates in England, only 20% of samples with identical MIRU-VNTR profiles were within 5 SNVs. MIRU-VNTR is more predictive of close relatedness in lineage 4 (Euro-American) lineages than in other lineages.
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Affiliation(s)
- David H Wyllie
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK; Public Health England Academic Collaborating Centre, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK; The National Institute for Health Research, Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, UK.
| | - Jennifer A Davidson
- Tuberculosis Section, National Infection Service, Public Health England, 61 Colindale Avenue, London NW9 5EQ, UK
| | - E Grace Smith
- Public Health England National Regional Mycobacteriology Laboratory North and Midlands, Heartlands Hospital, Birmingham BS9 5SS
| | - Priti Rathod
- Public Health England National Regional Mycobacteriology Laboratory North and Midlands, Heartlands Hospital, Birmingham BS9 5SS
| | - Derrick W Crook
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK; The National Institute for Health Research, Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, UK
| | - Tim E A Peto
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK; The National Institute for Health Research, Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, UK
| | - Esther Robinson
- Public Health England National Regional Mycobacteriology Laboratory North and Midlands, Heartlands Hospital, Birmingham BS9 5SS
| | - Tim Walker
- Nuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX3 9DU, UK
| | - Colin Campbell
- Tuberculosis Section, National Infection Service, Public Health England, 61 Colindale Avenue, London NW9 5EQ, UK
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Coll P, García de Viedma D. Molecular epidemiology of tuberculosis. Enferm Infecc Microbiol Clin 2018; 36:233-240. [PMID: 29463429 DOI: 10.1016/j.eimc.2018.01.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 01/13/2018] [Indexed: 01/05/2023]
Abstract
The application of genotyping tools allowed us to discriminate between the Mycobacterium tuberculosis isolates obtained in the laboratory. The differentiation between single strains opened the door to molecular epidemiology studies, which had helped us to progress in our knowledge of how this pathogen is transmitted in the progressively more complex socio-epidemiological scenario. The genetic stability of this microorganism led to develop specific methodologies, which are thoroughly revised in this chapter. In addition to their application in epidemiology, we review, how they can offer a response to different diagnostic and clinical challenges. Finally, we focus on describing the novel genomic revolution we are experiencing in the analysis of tuberculosis, the methodology in which it is based and the novel possibilities it offers, including new routes of integrating both the molecular and genomic languages in innovative post-genomic proposals, better suited to our real-life context.
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Affiliation(s)
- Pere Coll
- Servicio Microbiología, Hospital de Sant Pau, Barcelona, España; Departament de Genètica i Microbiologia, UniversitatAutònoma de Barcelona, , Bellaterra, España; Institut de Recerca, Hospital de Sant Pau, Barcelona, España.
| | - Darío García de Viedma
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, España; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, España; CIBER Enfermedades respiratorias, CIBERES, Madrid, España.
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30
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Occurrence and Nature of Double Alleles in Variable-Number Tandem-Repeat Patterns of More than 8,000 Mycobacterium tuberculosis Complex Isolates in The Netherlands. J Clin Microbiol 2018; 56:JCM.00761-17. [PMID: 29142049 PMCID: PMC5786718 DOI: 10.1128/jcm.00761-17] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 11/08/2017] [Indexed: 11/20/2022] Open
Abstract
Since 2004, variable-number tandem-repeat (VNTR) typing of Mycobacterium tuberculosis complex isolates has been applied on a structural basis in The Netherlands to study the epidemiology of tuberculosis (TB). Although this technique is faster and technically less demanding than the previously used restriction fragment length polymorphism (RFLP) typing, reproducibility remains a concern. In the period from 2004 to 2015, 8,532 isolates were subjected to VNTR typing in The Netherlands, with 186 (2.2%) of these exhibiting double alleles at one locus. Double alleles were most common in loci 4052 and 2163b. The variables significantly associated with double alleles were urban living (odds ratio [OR], 1.503; 95% confidence interval [CI], 1.084 to 2.084; P = 0.014) and pulmonary TB (OR, 1.703; 95% CI, 1.216 to 2.386; P = 0.002). Single-colony cultures of double-allele strains were produced and revealed single-allele profiles; a maximum of five single nucleotide polymorphisms (SNPs) was observed between the single- and double-allele isolates from the same patient when whole-genome sequencing (WGS) was applied. This indicates the presence of two bacterial populations with slightly different VNTR profiles in the parental population, related to genetic drift. This observation is confirmed by the fact that secondary cases from TB source cases with double-allele isolates sometimes display only one of the two alleles present in the source case. Double alleles occur at a frequency of 2.2% in VNTR patterns in The Netherlands. They are caused by biological variation rather than by technical aberrations and can be transmitted either as single- or double-allele variants.
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Herranz M, Pole I, Ozere I, Chiner-Oms Á, Martínez-Lirola M, Pérez-García F, Gijón P, Serrano MJR, Romero LC, Cuevas O, Comas I, Bouza E, Pérez-Lago L, García-de-Viedma D. Mycobacterium tuberculosis Acquires Limited Genetic Diversity in Prolonged Infections, Reactivations and Transmissions Involving Multiple Hosts. Front Microbiol 2018; 8:2661. [PMID: 29403447 PMCID: PMC5780704 DOI: 10.3389/fmicb.2017.02661] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 12/20/2017] [Indexed: 01/03/2023] Open
Abstract
Background:Mycobacterium tuberculosis (MTB) has limited ability to acquire variability. Analysis of its microevolution might help us to evaluate the pathways followed to acquire greater infective success. Whole-genome sequencing (WGS) in the analysis of the transmission of MTB has elucidated the magnitude of variability in MTB. Analysis of transmission currently depends on the identification of clusters, according to the threshold of variability (<5 SNPs) between isolates. Objective: We evaluated whether the acquisition of variability in MTB, was more frequent in situations which could favor it, namely intrapatient, prolonged infections or reactivations and interpatient transmissions involving multiple sequential hosts. Methods: We used WGS to analyze the accumulation of variability in sequential isolates from prolonged infections or translations from latency to reactivation. We then measured microevolution in transmission clusters with prolonged transmission time, high number of involved cases, simultaneous involvement of latency and active transmission. Results: Intrapatient and interpatient acquisition of variability was limited, within the ranges expected according to the thresholds of variability proposed, even though bursts of variability were observed. Conclusions: The thresholds of variability proposed for MTB seem to be valid in most circumstances, including those theoretically favoring acquisition of variability. Our data point to multifactorial modulation of microevolution, although further studies are necessary to elucidate the factors underlying this modulation.
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Affiliation(s)
- Marta Herranz
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Ilva Pole
- Childhood Tuberculosis Department, Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Riga, Latvia.,Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Iveta Ozere
- Childhood Tuberculosis Department, Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Riga, Latvia.,Department of Infectology and Dermatology, Riga Stradinš University, Riga, Latvia
| | - Álvaro Chiner-Oms
- Unidad Mixta Genómica y Salud, Centro Superior de Investigación en Salud Pública (FISABIO)-Universitat de València, Valencia, Spain
| | | | - Felipe Pérez-García
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Paloma Gijón
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - María Jesús Ruiz Serrano
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Laura Clotet Romero
- Servei de Vigilància Epidemiològica i Resposta a Emergències de Salut Pública al Vallès Occidental i Vallès Oriental, Subdirecció General de Vigilància i Resposta a Emergències de Salut Pública, Agència de Salut Pública de Catalunya, Barcelona, Spain
| | - Oscar Cuevas
- Servicio de Laboratorio, Institut d'Investigació i Innovació Parc Taulí, I3PT Parc Taulí Hospital Universitari, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Iñaki Comas
- Instituto de Biomedicina de Valencia, Consejo Superior de Investigaciones Científicas, Valencia, Spain.,CIBER en Epidemiología y Salud Pública, Madrid, Spain
| | - Emilio Bouza
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Laura Pérez-Lago
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Darío García-de-Viedma
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.,CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
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32
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Gurbanova E, Mehdiyev R, Blondal K, Tahirli R, Mirzayev F, Hillemann D, Ismayilov A, Altraja A. Mitigation of Discordant Rifampicin-Susceptibility Results Obtained by XpertMycobacterium tuberculosis/Rifampicin and Mycobacterium Growth Indicator Tube. Microb Drug Resist 2017; 23:1045-1052. [DOI: 10.1089/mdr.2016.0149] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Elmira Gurbanova
- Main Medical Department, Azerbaijan Ministry of Justice, Baku, Azerbaijan
- Department of Pulmonary Medicine, University of Tartu, Tartu, Estonia
| | - Rafail Mehdiyev
- Main Medical Department, Azerbaijan Ministry of Justice, Baku, Azerbaijan
| | - Kai Blondal
- Department of Communicable Disease Prevention and Control, Reykjavik Health Care Services, Reykjavik, Iceland
| | - Rasim Tahirli
- Main Medical Department, Azerbaijan Ministry of Justice, Baku, Azerbaijan
| | | | | | - Asker Ismayilov
- Main Medical Department, Azerbaijan Ministry of Justice, Baku, Azerbaijan
| | - Alan Altraja
- Department of Pulmonary Medicine, University of Tartu, Tartu, Estonia
- Lung Clinic, Tartu University Hospital, Tartu, Estonia
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33
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Carcelén M, Abascal E, Herranz M, Santantón S, Zenteno R, Ruiz Serrano MJ, Bouza E, Pérez-Lago L, García-de-Viedma D. Optimizing and accelerating the assignation of lineages in Mycobacterium tuberculosis using novel alternative single-tube assays. PLoS One 2017; 12:e0186956. [PMID: 29091913 PMCID: PMC5665510 DOI: 10.1371/journal.pone.0186956] [Citation(s) in RCA: 7] [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: 07/21/2017] [Accepted: 10/10/2017] [Indexed: 11/24/2022] Open
Abstract
The assignation of lineages in Mycobacterium tuberculosis (MTB) provides valuable information for evolutionary and phylogeographic studies and makes for more accurate knowledge of the distribution of this pathogen worldwide. Differences in virulence have also been found for certain lineages. MTB isolates were initially assigned to lineages based on data obtained from genotyping techniques, such as spoligotyping or MIRU-VNTR analysis, some of which are more suitable for molecular epidemiology studies. However, since these methods are subject to a certain degree of homoplasy, other criteria have been chosen to assign lineages. These are based on targeting robust and specific SNPs for each lineage. Here, we propose two newly designed multiplex targeting methods—both of which are single-tube tests—to optimize the assignation of the six main lineages in MTB. The first method is based on ASO-PCR and offers an inexpensive and easy-to-implement assay for laboratories with limited resources. The other, which is based on SNaPshot, enables more refined standardized assignation of lineages for laboratories with better resources. Both methods performed well when assigning lineages from cultured isolates from a control panel, a test panel, and a problem panel from an unrelated population, Mexico, which included isolates in which standard genotyping was not able to classify lineages. Both tests were also able to assign lineages from stored isolates, without the need for subculture or purification of DNA, and even directly from clinical specimens with a medium-high bacilli burden. Our assays could broaden the contexts where information on lineages can be acquired, thus enabling us to quickly update data from retrospective collections and to merge data with those obtained at the time of diagnosis of a new TB case.
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Affiliation(s)
- María Carcelén
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Estefanía Abascal
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Marta Herranz
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- CIBER Enfermedades respiratorias, CIBERES, Spain
| | - Sheila Santantón
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Roberto Zenteno
- Instituto de Salud Pública, Universidad Veracruzana, Jalapa, Veracruz, Mexico
| | - María Jesús Ruiz Serrano
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- CIBER Enfermedades respiratorias, CIBERES, Spain
| | - Emilio Bouza
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- CIBER Enfermedades respiratorias, CIBERES, Spain
- Departamento de Medicina, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Laura Pérez-Lago
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- CIBER Enfermedades respiratorias, CIBERES, Spain
- * E-mail: (DGV); (LPL)
| | - Darío García-de-Viedma
- Servicio de Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- CIBER Enfermedades respiratorias, CIBERES, Spain
- * E-mail: (DGV); (LPL)
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34
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Tyler AD, Randell E, Baikie M, Antonation K, Janella D, Christianson S, Tyrrell GJ, Graham M, Van Domselaar G, Sharma MK. Application of whole genome sequence analysis to the study of Mycobacterium tuberculosis in Nunavut, Canada. PLoS One 2017; 12:e0185656. [PMID: 28982116 PMCID: PMC5628838 DOI: 10.1371/journal.pone.0185656] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 09/15/2017] [Indexed: 11/19/2022] Open
Abstract
Canada has one of the lowest rates of tuberculosis (TB) in the world, however, among certain sub-populations, disease incidence rates approach those observed in sub-Saharan Africa, and other high incidence regions. In this study, we applied mycobacterial interspersed repetitive unit (MIRU) variable number of tandem repeat (VNTR) and whole genome sequencing (WGS) to the analysis of Mycobacterium tuberculosis isolates obtained from Northern communities in the territory of Nunavut. WGS was carried out using the Illumina MiSeq, with identified variants used to infer phylogenetic relationships and annotated to infer functional implications. Additionally, the sequencing data from these isolates were augmented with publically available WGS to evaluate data from the Nunavut outbreak in the broader Canadian context. In this study, isolates could be classified into four major clusters by MIRU-VNTR analysis. These could be further resolved into sub-clusters using WGS. No evidence for antimicrobial resistance, either genetic or phenotypic, was observed in this cohort. Among most subjects with multiple samples, reactivation/incomplete treatment likely contributed to recurrence. However, isolates from two subjects appeared more likely to have occurred via reinfection, based on the large number of genomic single nucleotide variants detected. Finally, although quite distinct from previously reported Canadian MTB strains, isolates obtained from Nunavut clustered most closely with a cohort of samples originating in the Nunavik region of Northern Quebec. This study demonstrates the benefit of using WGS for discriminatory analysis of MTB in Canada, especially in high incidence regions. It further emphasizes the importance of focusing epidemiological intervention efforts on interrupting transmission chains of endemic TB throughout Northern communities, rather than relying on strategies applied in regions where the majority of TB cases result from importation of foreign strains.
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Affiliation(s)
- Andrea D. Tyler
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | | | | | - Kym Antonation
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Debra Janella
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Sara Christianson
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Gregory J. Tyrrell
- The Division of Diagnostic and Applied Microbiology, University of Alberta, Edmonton, Alberta, Canada
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
- The Provincial Laboratory for Public Health (Microbiology), Edmonton, Alberta, Canada
| | - Morag Graham
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- Department of Medical Microbiology & Infectious Diseases, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Gary Van Domselaar
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- Department of Medical Microbiology & Infectious Diseases, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- Department of Computer Science, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Meenu K. Sharma
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
- Department of Medical Microbiology & Infectious Diseases, Max Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
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35
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Tarashi S, Fateh A, Mirsaeidi M, Siadat SD, Vaziri F. Mixed infections in tuberculosis: The missing part in a puzzle. Tuberculosis (Edinb) 2017; 107:168-174. [PMID: 29050766 DOI: 10.1016/j.tube.2017.09.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 09/05/2017] [Accepted: 09/13/2017] [Indexed: 11/26/2022]
Abstract
The mixed strains infection phenomenon is a major problem posing serious challenges in control of tuberculosis (TB). In patients with mixed infection, several different strains of Mycobacterium tuberculosis can be isolated simultaneously. Although different genotyping methods and various molecular approaches can be employed for detection of mixed infection in clinical samples, the MIRU-VNTR technique is more sensitive with higher discriminative power than many widely used techniques. Furthermore, the recent introduction of whole genome sequencing (WGS) promises to reveal more details about mixed infection with high resolution. WGS has been used for detection of mixed infection with high sensitivity and discriminatory, but the technology is currently limited to developed countries. Mixed infection may involve strains with different susceptibility patterns, which may alter the treatment outcome. In this report, we review the current concepts of mixed strains infection and also infection involving strains with a different susceptibility pattern in TB. We evaluate the importance of identifying mixed infection for diagnosis as well as treatment and highlight the accuracy and clinical utility of direct genotyping of clinical specimens.
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Affiliation(s)
- Samira Tarashi
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Abolfazl Fateh
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Mehdi Mirsaeidi
- Division of Pulmonary and Critical Care, University of Miami, Miami, FL, USA
| | - 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
| | - 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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36
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Abstract
Tuberculosis (TB) remains the most deadly bacterial infectious disease worldwide. Its treatment and control are threatened by increasing numbers of multidrug-resistant (MDR) or nearly untreatable extensively drug-resistant (XDR) strains. New concepts are therefore urgently needed to understand the factors driving the TB epidemics and the spread of different strain populations, especially in association with drug resistance. Classical genotyping and, more recently, whole-genome sequencing (WGS) revealed that the world population of tubercle bacilli is more diverse than previously thought. Several major phylogenetic lineages can be distinguished, which are associated with their sympatric host population. Distinct clonal (sub)populations can even coexist within infected patients. WGS is now used as the ultimate approach for differentiating clinical isolates and for linking phenotypic to genomic variation from lineage to strain levels. Multiple lines of evidence indicate that the genetic diversity of TB strains translates into pathobiological consequences, and key molecular mechanisms probably involved in differential pathoadaptation of some main lineages have recently been identified. Evidence also accumulates on molecular mechanisms putatively fostering the emergence and rapid expansion of particular MDR and XDR strain groups in some world regions. However, further integrative studies will be needed for complete elucidation of the mechanisms that allow the pathogen to infect its host, acquire multidrug resistance, and transmit so efficiently. Such knowledge will be key for the development of the most effective new diagnostics, drugs, and vaccination strategies.
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37
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Khosravi AD, Shahraki AH, Dezfuli SK, Hashemzadeh M, Goodarzi H, Mohajeri P. Genetic diversity of multidrug-resistant Mycobacterium tuberculosis strains isolated from tuberculosis patients in Iran using MIRU-VNTR technique. Kaohsiung J Med Sci 2017; 33:550-557. [PMID: 29050672 DOI: 10.1016/j.kjms.2017.06.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 06/13/2017] [Accepted: 06/20/2017] [Indexed: 12/15/2022] Open
Abstract
Tuberculosis (TB) is considered as one of the most important infectious diseases in the world, and recent rise and spread of multidrug-resistant (MDR) Mycobacterium tuberculosis (MTB) strains, have made the matter worsened. Due to the importance of TB prevalence in Iran, this study was designed to investigate the genetic diversity among MDR strains of MTB by MIRU-VNTR typing scheme. A total of 88 drug resistant M. tuberculosis isolates belong to pulmonary TB cases were collected from several TB reference centers of Iran. Drug susceptibility testing for Isoniazid and Rifampin was performed using the agar proportion method and MDR isolates were underwent genotyping by using 12-locus- based MIRU-VNTR typing. On performing proportion method, 22 isolates were identified as MDR. By typing of MDR isolates using 12-loci MIRU-VNTR technique, high diversity were demonstrated in MDR strains and these were classified into 20 distinct MIRU-VNTR genotypes. MIRU loci 10 and 26 were the most discriminatory loci with 8 and 7 alleles respectively; while MIRU loci 2, 20, 24 and 39 were found to be the least discriminatory with 1-2 alleles each. We noticed a mixed infection in isolate 53, as this isolate comprised simultaneous two alleles in MIRU loci 40, 10, 16 and 39. In conclusion, this result represents MIRU-VNTR typing as a useful tool for studying genetic diversity of MDR-MTB in regional settings, and will help the health sectors to construct a preventive program for MDR-TB. Additionally, it can detect mixed infection which can facilitate management of treatment.
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Affiliation(s)
- Azar Dokht Khosravi
- Infectious and Tropical Diseases Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | - Soolmaz Khandan Dezfuli
- Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Mohammad Hashemzadeh
- Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hamed Goodarzi
- Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Parviz Mohajeri
- Department of Microbiology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
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38
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Hong MS, Kim Y, Cho EJ, Lee JS, Kwak HK, Kim JH, Kim CT, Cho JS, Park SK, Jeon D, Choi YI, Lee H, Eum SY. Comparison of the characteristics of Mycobacterium tuberculosis isolates from sputum and lung lesions in chronic tuberculosis patients. Eur J Clin Microbiol Infect Dis 2017. [DOI: 10.1007/s10096-017-3025-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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39
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McIvor A, Koornhof H, Kana BD. Relapse, re-infection and mixed infections in tuberculosis disease. Pathog Dis 2017; 75:3003284. [PMID: 28334088 DOI: 10.1093/femspd/ftx020] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 02/16/2017] [Indexed: 01/19/2023] Open
Abstract
Tuberculosis (TB) disease can be characterized by genotypic and phenotypic complexity in Mycobacterium tuberculosis bacilli within a single patient. This microbiological heterogeneity has become an area of intense study due its perceived importance in drug tolerance, drug resistance and as a surrogate measure of transmission rates. This review presents a descriptive analysis of research describing the prevalence of mixed-strain TB infections in geographically distinct locations. Despite significant variation in disease burden and a rampant human immunodeficiency virus (HIV)-TB co-epidemic, there was no difference in the prevalence range of mixed infections reported in African countries when compared to the rest of the world. The occurrence of recurrent TB was associated with a higher prevalence of mixed-strain infections, but this difference was not reported as statistically significant. These interpretations were limited by differences in the design and overall size of the studies assessed. Factors such as sputum quality, culture media, number of repeated culture steps, molecular typing methods and HIV-infection status can affect the detection of mixed-strain infection. It is recommended that future clinical studies should focus on settings with varying TB burdens, with a common sample processing protocol to gain further insight into these phenomena and develop novel transmission blocking strategies.
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Affiliation(s)
- Amanda McIvor
- DST/NRF Centre of Excellence for Biomedical TB Research, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and the National Health Laboratory Service, Johannesburg 2000, South Africa
| | - Hendrik Koornhof
- Centre for Tuberculosis, National Institute for Communicable Diseases and National Health Laboratory Service, Johannesburg, 2000, South Africa
| | - Bavesh Davandra Kana
- DST/NRF Centre of Excellence for Biomedical TB Research, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and the National Health Laboratory Service, Johannesburg 2000, South Africa.,CAPRISA, Centre for the AIDS Programme of Research in South Africa, Durban, 4001, South Africa
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40
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Navarro Y, Pérez-Lago L, Herranz M, Sierra O, Comas I, Sicilia J, Bouza E, García de Viedma D. In-Depth Characterization and Functional Analysis of Clonal Variants in a Mycobacterium tuberculosis Strain Prone to Microevolution. Front Microbiol 2017; 8:694. [PMID: 28484440 PMCID: PMC5403423 DOI: 10.3389/fmicb.2017.00694] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 04/04/2017] [Indexed: 11/16/2022] Open
Abstract
The role of clonal complexity has gradually been accepted in infection by Mycobacterium tuberculosis (MTB), although analyses of this issue are limited. We performed an in-depth study of a case of recurrent MTB infection by integrating genotyping, whole genome sequencing, analysis of gene expression and infectivity in in vitro and in vivo models. Four different clonal variants were identified from independent intrapatient evolutionary branches. One of the single-nucleotide polymorphisms in the variants mapped in mce3R, which encodes a repressor of an operon involved in virulence, and affected expression of the operon. Competitive in vivo and in vitro co-infection assays revealed higher infective efficiency for one of the clonal variants. A new clonal variant, which had not been observed in the clinical isolates, emerged in the infection assays and showed higher fitness than its parental strain. The analysis of other patients involved in the same transmission cluster revealed new clonal variants acquired through novel evolutionary routes, indicating a high tendency toward microevolution in some strains that is not host-dependent. Our study highlights the need for integration of various approaches to advance our knowledge of the role and significance of microevolution in tuberculosis.
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Affiliation(s)
- Yurena Navarro
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,CIBER Enfermedades Respiratorias, CIBERESMadrid, Spain.,CEI Campus Moncloa, UCM-UPMMadrid, Spain.,Centro de Vigilancia Sanitaria Veterinaria, Universidad Complutense MadridMadrid, Spain
| | - Laura Pérez-Lago
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,CIBER Enfermedades Respiratorias, CIBERESMadrid, Spain
| | - Marta Herranz
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,CIBER Enfermedades Respiratorias, CIBERESMadrid, Spain
| | - Olalla Sierra
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain
| | - Iñaki Comas
- Unidad Mixta Genómica y Salud, Centro Superior de Investigación en Salud Pública (FISABIO)-Universitat de ValènciaValencia, Spain.,CIBER en Epidemiología y Salud PúblicaMadrid, Spain
| | - Javier Sicilia
- Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,Unidad de Medicina y Cirugía Experimental, Hospital General Universitario Gregorio MarañónMadrid, Spain
| | - Emilio Bouza
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,CIBER Enfermedades Respiratorias, CIBERESMadrid, Spain.,Departamento de Medicina, Facultad de Medicina, Universidad Complutense de MadridMadrid, Spain
| | - Darío García de Viedma
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio MarañónMadrid, Spain.,Instituto de Investigación Sanitaria Gregorio MarañónMadrid, Spain.,CIBER Enfermedades Respiratorias, CIBERESMadrid, Spain.,CEI Campus Moncloa, UCM-UPMMadrid, Spain
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Pfeiffer W, Braun J, Burchell J, Witte CL, Rideout BA. Whole-genome analysis of mycobacteria from birds at the San Diego Zoo. PLoS One 2017; 12:e0173464. [PMID: 28267758 PMCID: PMC5340394 DOI: 10.1371/journal.pone.0173464] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 02/22/2017] [Indexed: 11/25/2022] Open
Abstract
Methods Mycobacteria isolated from more than 100 birds diagnosed with avian mycobacteriosis at the San Diego Zoo and its Safari Park were cultured postmortem and had their whole genomes sequenced. Computational workflows were developed and applied to identify the mycobacterial species in each DNA sample, to find single-nucleotide polymorphisms (SNPs) between samples of the same species, to further differentiate SNPs between as many as three different genotypes within a single sample, and to identify which samples are closely clustered genomically. Results Nine species of mycobacteria were found in 123 samples from 105 birds. The most common species were Mycobacterium avium and Mycobacterium genavense, which were in 49 and 48 birds, respectively. Most birds contained only a single mycobacterial species, but two birds contained a mixture of two species. The M. avium samples represent diverse strains of M. avium avium and M. avium hominissuis, with many pairs of samples differing by hundreds or thousands of SNPs across their common genome. By contrast, the M. genavense samples are much closer genomically; samples from 46 of 48 birds differ from each other by less than 110 SNPs. Some birds contained two, three, or even four genotypes of the same bacterial species. Such infections were found in 4 of 49 birds (8%) with M. avium and in 11 of 48 birds (23%) with M. genavense. Most were mixed infections, in which the bird was infected by multiple mycobacterial strains, but three infections with two genotypes differing by ≤ 10 SNPs were likely the result of within-host evolution. The samples from 31 birds with M. avium can be grouped into nine clusters within which any sample is ≤ 12 SNPs from at least one other sample in the cluster. Similarly, the samples from 40 birds with M. genavense can be grouped into ten such clusters. Information about these genomic clusters is being used in an ongoing, companion study of mycobacterial transmission to help inform management of bird collections.
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Affiliation(s)
- Wayne Pfeiffer
- San Diego Supercomputer Center, University of California, San Diego, La Jolla, California, United States of America
- * E-mail:
| | - Josephine Braun
- Wildlife Disease Laboratories, San Diego Zoo Global, San Diego, California, United States of America
| | - Jennifer Burchell
- Wildlife Disease Laboratories, San Diego Zoo Global, San Diego, California, United States of America
| | - Carmel L. Witte
- Wildlife Disease Laboratories, San Diego Zoo Global, San Diego, California, United States of America
| | - Bruce A. Rideout
- Wildlife Disease Laboratories, San Diego Zoo Global, San Diego, California, United States of America
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Nontuberculous Mycobacteria in Saudi Arabia and Gulf Countries: A Review. Can Respir J 2017; 2017:5035932. [PMID: 28348502 PMCID: PMC5350348 DOI: 10.1155/2017/5035932] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 01/05/2017] [Accepted: 02/01/2017] [Indexed: 01/15/2023] Open
Abstract
Nontuberculous Mycobacteria (NTM) are causing growing health problems worldwide. This is indicated by an increasing amount of scientific reports showing not only well-identified species reemerging but also emergence of new species. The emergence and reemergence of NTM are particularly worrying in developing countries due to scarce published data and improper identification. Here we aimed to examine the main epidemiological aspects and diagnostic challenges associated with NTM in countries of the Gulf Cooperation Council (GCC) and compare these findings to the international arena findings. Data revealed that countries of the GCC are largely dominated by rapidly growing mycobacteria species such as M. fortuitum (29%) and M. abscessus (17%) with high rate of definitive respiratory diseases. On the other hand, most of the developed countries are dominated by slowly growing mycobacteria such as MAC, M. kansasii, and M. gordonae. More efforts are needed, however, to gain insights into NTM issues in countries of the GCC.
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Clonal Complexity in Mycobacterium tuberculosis Can Hamper Diagnostic Procedures. J Clin Microbiol 2017; 55:1388-1395. [PMID: 28202799 DOI: 10.1128/jcm.00149-17] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 02/07/2017] [Indexed: 11/20/2022] Open
Abstract
Clonal complexity is increasingly accepted in Mycobacterium tuberculosis infection, including mixed infections by ≥2 strains, which usually occur in settings with a high burden of tuberculosis and/or a high risk of overexposure to infected patients. Mixed infections can hamper diagnostic procedures; obtaining an accurate antibiogram is difficult when the susceptibility patterns of the strains differ. Here, we show how mixed infections can also prove challenging for other diagnostic procedures, even outside settings where mixed infections are traditionally expected. We show how an unnoticed mixed infection in an HIV-positive patient diagnosed in Madrid, Spain, with differences in the representativeness of the coinfecting strains in different sputum samples, markedly complicated the resolution of a laboratory cross-contamination false positivity alert.
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The Evolution of Strain Typing in the Mycobacterium tuberculosis Complex. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 1019:43-78. [PMID: 29116629 DOI: 10.1007/978-3-319-64371-7_3] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Tuberculosis (TB) is a contagious disease with a complex epidemiology. Therefore, molecular typing (genotyping) of Mycobacterium tuberculosis complex (MTBC) strains is of primary importance to effectively guide outbreak investigations, define transmission dynamics and assist global epidemiological surveillance of the disease. Large-scale genotyping is also needed to get better insights into the biological diversity and the evolution of the pathogen. Thanks to its shorter turnaround and simple numerical nomenclature system, mycobacterial interspersed repetitive unit-variable-number tandem repeat (MIRU-VNTR) typing, based on 24 standardized plus 4 hypervariable loci, optionally combined with spoligotyping, has replaced IS6110 DNA fingerprinting over the last decade as a gold standard among classical strain typing methods for many applications. With the continuous progress and decreasing costs of next-generation sequencing (NGS) technologies, typing based on whole genome sequencing (WGS) is now increasingly performed for near complete exploitation of the available genetic information. However, some important challenges remain such as the lack of standardization of WGS analysis pipelines, the need of databases for sharing WGS data at a global level, and a better understanding of the relevant genomic distances for defining clusters of recent TB transmission in different epidemiological contexts. This chapter provides an overview of the evolution of genotyping methods over the last three decades, which culminated with the development of WGS-based methods. It addresses the relative advantages and limitations of these techniques, indicates current challenges and potential directions for facilitating standardization of WGS-based typing, and provides suggestions on what method to use depending on the specific research question.
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Kontsevaya I, Nikolayevskyy V, Kovalyov A, Ignatyeva O, Sadykhova A, Simak T, Tikhonova O, Dubrovskaya Y, Vasiliauskiene E, Davidaviciene E, Skenders G, Makurina O, Balabanova Y, Drobniewski F. Tuberculosis cases caused by heterogeneous infection in Eastern Europe and their influence on outcomes. INFECTION GENETICS AND EVOLUTION 2016; 48:76-82. [PMID: 27998730 DOI: 10.1016/j.meegid.2016.12.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 12/14/2016] [Accepted: 12/16/2016] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Mycobacterium tuberculosis superinfection is known to occur in areas with high rates of tuberculosis (TB) and has a significant impact on overall clinical TB management. AIM We aimed to estimate the superinfection rate in cohorts of drug sensitive and multi-drug resistant tuberculosis (MDR TB) patients from Eastern Europe and the potential role of a second MDR TB strain infecting a patient with active non-MDR TB in treatment outcome. METHODS The study population included 512 serial M. tuberculosis isolates obtained from 84 MDR- and 136 non-MDR TB patients recruited sequentially at sites in Lithuania, Latvia and Russia in 2011-2013. Strains were genotyped using standardized 24-loci Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem Repeat (MIRU-VNTR) typing. RESULTS Changes in two or more MIRU-VNTR loci suggesting superinfection were detected in 13 patients (5.9%). We found 4 initially non-MDR TB patients superinfected with an MDR TB strain during treatment and 3 of them had an unsuccessful outcome. CONCLUSIONS An unsuccessful treatment outcome in patients initially diagnosed with drug sensitive TB might be explained by superinfection with an MDR TB strain. Bacteriological reversion could be indicative of superinfection with another strain. Archiving of all serial isolates and their genotyping in case of culture reversion could support therapeutic strategies in high MDR TB burden settings if resources are available.
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Affiliation(s)
- Irina Kontsevaya
- Imperial College London, Du Cane Road, London W12 0NN, UK; N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Vladyslav Nikolayevskyy
- Imperial College London, Du Cane Road, London W12 0NN, UK; Public Health England National Mycobacterium Reference Laboratory, 2 Newark Street, London E1 2AT, UK; Queen Mary, University of London, Mile End Road, London E1 4NS, UK.
| | - Alexander Kovalyov
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Olga Ignatyeva
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Anna Sadykhova
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Tatiana Simak
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Olesya Tikhonova
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Yulia Dubrovskaya
- N.V. Postnikov Samara Region Clinical Tuberculosis Dispensary, 154 Novo-Sadovaya Street, Samara 443068, Russian Federation.
| | - Edita Vasiliauskiene
- Infectious Disease and TB Hospital, P. Sirvio str. 5, 10214 Vilnius, Lithuania; Vilnius University, Department of Physiology, Biochemistry and Laboratory Medicine, Faculty of Medicine, M. K. Ciurlionio str. 21, 03101 Vilnius, Lithuania.
| | - Edita Davidaviciene
- Infectious Disease and TB Hospital, P. Sirvio str. 5, 10214 Vilnius, Lithuania.
| | - Girts Skenders
- Tuberculosis and Lung Diseases Centre, Riga East University Hospital, 68 Lielvardes Street, LV-1006 Riga, Latvia.
| | - Olga Makurina
- Samara National Research University, 1 Akademika Pavlova Street, Samara 443011, Russian Federation.
| | - Yanina Balabanova
- Imperial College London, Du Cane Road, London W12 0NN, UK; Robert Koch Institute, Postfach 65 02 61, Berlin D-13302, Germany.
| | - Francis Drobniewski
- Imperial College London, Du Cane Road, London W12 0NN, UK; Queen Mary, University of London, Mile End Road, London E1 4NS, UK.
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Ei PW, Aung WW, Lee JS, Choi GE, Chang CL. Molecular Strain Typing of Mycobacterium tuberculosis: a Review of Frequently Used Methods. J Korean Med Sci 2016; 31:1673-1683. [PMID: 27709842 PMCID: PMC5056196 DOI: 10.3346/jkms.2016.31.11.1673] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 08/06/2016] [Indexed: 11/20/2022] Open
Abstract
Tuberculosis, caused by the bacterium Mycobacterium tuberculosis, remains one of the most serious global health problems. Molecular typing of M. tuberculosis has been used for various epidemiologic purposes as well as for clinical management. Currently, many techniques are available to type M. tuberculosis. Choosing the most appropriate technique in accordance with the existing laboratory conditions and the specific features of the geographic region is important. Insertion sequence IS6110-based restriction fragment length polymorphism (RFLP) analysis is considered the gold standard for the molecular epidemiologic investigations of tuberculosis. However, other polymerase chain reaction-based methods such as spacer oligonucleotide typing (spoligotyping), which detects 43 spacer sequence-interspersing direct repeats (DRs) in the genomic DR region; mycobacterial interspersed repetitive units-variable number tandem repeats, (MIRU-VNTR), which determines the number and size of tandem repetitive DNA sequences; repetitive-sequence-based PCR (rep-PCR), which provides high-throughput genotypic fingerprinting of multiple Mycobacterium species; and the recently developed genome-based whole genome sequencing methods demonstrate similar discriminatory power and greater convenience. This review focuses on techniques frequently used for the molecular typing of M. tuberculosis and discusses their general aspects and applications.
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Affiliation(s)
- Phyu Win Ei
- Advanced Molecular Research Centre, Department of Medical Research, Yangon, Myanmar
| | - Wah Wah Aung
- Advanced Molecular Research Centre, Department of Medical Research, Yangon, Myanmar
| | - Jong Seok Lee
- International Tuberculosis Research Center, Changwon, Korea
| | - Go Eun Choi
- Institute of Convergence Bio-Health, Dong-A University, Busan, Korea
| | - Chulhun L Chang
- Department of Laboratory Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea.
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Pérez-Lago L, Rodríguez Borlado AI, Comas I, Herranz M, Ruiz-Serrano MJ, Bouza E, García-de-Viedma D. Subtle genotypic changes can be observed soon after diagnosis in Mycobacterium tuberculosis infection. Int J Med Microbiol 2016; 306:401-5. [DOI: 10.1016/j.ijmm.2016.05.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Revised: 04/15/2016] [Accepted: 05/09/2016] [Indexed: 11/30/2022] Open
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Genomic Diversity of Mycobacterium tuberculosis Complex Strains in Cantabria (Spain), a Moderate TB Incidence Setting. PLoS One 2016; 11:e0157266. [PMID: 27315243 PMCID: PMC4912061 DOI: 10.1371/journal.pone.0157266] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 05/26/2016] [Indexed: 12/02/2022] Open
Abstract
Background Tuberculosis (TB) control strategies are focused mainly on prevention, early diagnosis, compliance to treatment and contact tracing. The objectives of this study were to explore the frequency and risk factors of recent transmission of clinical isolates of Mycobacterium tuberculosis complex (MTBC) in Cantabria in Northern Spain from 2012 through 2013 and to analyze their clonal complexity for better understanding of the transmission dynamics in a moderate TB incidence setting. Methods DNA from 85 out of 87 isolates from bacteriologically confirmed cases of MTBC infection were extracted directly from frozen stocks and genotyped using the mycobacterial interspersed repetitive units-variable number tandem repeat (MIRU-VNTR) method. The MIRU-VNTRplus database tool was used to identify clusters and lineages and to build a neighbor joining (NJ) phylogenetic tree. In addition, data were compared to the SITVIT2 database at the Pasteur Institute of Guadeloupe. Results The rate of recent transmission was calculated to 24%. Clustering was associated with being Spanish-born. A high prevalence of isolates of the Euro-American lineage was found. In addition, MIRU-VNTR profiles of the studied isolates corresponded to previously found MIRU-VNTR types in other countries, including Spain, Belgium, Great Britain, USA, Croatia, South Africa and The Netherlands. Six of the strains analyzed represented clonal variants. Conclusion Transmission of MTBC is well controlled in Cantabria. The majority of TB patients were born in Spain. The population structure of MTBC in Cantabria has a low diversity of major clonal lineages with the Euro-American lineage predominating.
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Antusheva E, Mironuk O, Tarasova I, Eliseev P, Plusnina G, Ridell M, Larsson LO, Mariyandyshev A. Outbreak of tuberculosis in a closed setting: views on transmission based on results from molecular and conventional methods. J Hosp Infect 2016; 93:187-90. [DOI: 10.1016/j.jhin.2016.02.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Accepted: 02/12/2016] [Indexed: 11/16/2022]
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50
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Hajimiri ES, Masoomi M, Ebrahimzadeh N, Fateh A, Hadizadeh Tasbiti A, Rahimi Jamnani F, Bahrmand AR, Mirsaeidi M, Vaziri F, Siadat SD. High prevalence of Mycobacterium tuberculosis mixed infection in the capital of moderate tuberculosis incidence country. Microb Pathog 2016; 93:213-8. [PMID: 26944666 DOI: 10.1016/j.micpath.2016.02.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2016] [Revised: 02/24/2016] [Accepted: 02/26/2016] [Indexed: 11/27/2022]
Abstract
OBJECTIVE Recent studies using molecular epidemiological techniques have demonstrated mixed infection with multiple strains of Mycobacterium tuberculosis especially in countries with high tuberculosis (TB) burden. We aimed to determine the prevalence of mixed infection among patients with TB in the capital of Iran as a country with moderate incidence rate. METHODS Samples were collected randomly from January 2011 to December 2013 in Tehran, capital of Iran. A total of 75 M. tuberculosis isolates were genotyped by 24 loci mycobacterial interspersed repetitive unit-variable number tandem repeat typing (MIRU-VNTR) for screening the mixed infection. RESULTS Twenty patients (20/75) were identified with mixed infection, and the estimated rate of mixed infection was 26.6%. Thirteen out of the 24 loci were able to detect the mixed infection in our study. CONCLUSIONS Mixed infections occur at high prevalence among studied Iranian TB patients. Further research is inevitable to evaluate the association of mixed infection and disease progression and treatment.
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Affiliation(s)
- Elahe Sadat Hajimiri
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Department of Microbiology, Zanjan Branch, Islamic Azad University, Zanjan, Iran
| | - Morteza Masoomi
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Department of Microbiology, Qom Branch, Islamic Azad University, Qom, Iran
| | - Nayereh Ebrahimzadeh
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran
| | - Abolfazl Fateh
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | | | - Fatemeh Rahimi Jamnani
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran; Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran
| | - Ahmad Reza Bahrmand
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran
| | - Mehdi Mirsaeidi
- Division of Pulmonary and Critical Care, University of Miami, Miami, FL, USA
| | - Farzam Vaziri
- 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
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