1
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Chengalroyen MD, Beukes GM, Otwombe K, Gordhan BG, Martinson N, Kana B. The detection of mixed tuberculosis infections using culture filtrate and resuscitation promoting factor deficient filtrate. Front Cell Infect Microbiol 2022; 12:1072073. [PMID: 36506007 PMCID: PMC9729742 DOI: 10.3389/fcimb.2022.1072073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 11/08/2022] [Indexed: 11/25/2022] Open
Abstract
Tuberculosis (TB) infected individuals harbor a heterogenous population of differentially culturable tubercle bacilli (DCTB). Herein, we describe how DCTB assays using culture filtrate either containing or deficient in resuscitation promoting factors can uncover mixed infections. We demonstrate that Mycobacterium tuberculosis (Mtb) strain genotypes can be separated in DCTB assays based on their selective requirement for growth stimulatory factors. Beijing mixed infections appear to be associated with a higher bacterial load and reduced reliance on growth stimulatory factors. These data have important implications for identifying mixed infections and hetero-resistance, which in turn can affect selection of treatment regimen and establishment of transmission links.
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Affiliation(s)
- Melissa D. Chengalroyen
- National Health Laboratory Service, DST/NRF Centre of Excellence for Biomedical TB Research, University of the Witwatersrand, Johannesburg, South Africa
| | - Germar M. Beukes
- National Health Laboratory Service, DST/NRF Centre of Excellence for Biomedical TB Research, University of the Witwatersrand, Johannesburg, South Africa
| | - Kennedy Otwombe
- Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Bhavna G. Gordhan
- National Health Laboratory Service, DST/NRF Centre of Excellence for Biomedical TB Research, University of the Witwatersrand, Johannesburg, South Africa
| | - Neil Martinson
- National Health Laboratory Service, DST/NRF Centre of Excellence for Biomedical TB Research, University of the Witwatersrand, Johannesburg, South Africa,Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa,Center for TB Research, Johns Hopkins University, Baltimore, MD, United States
| | - Bavesh Kana
- National Health Laboratory Service, DST/NRF Centre of Excellence for Biomedical TB Research, University of the Witwatersrand, Johannesburg, South Africa,*Correspondence: Bavesh Kana,
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2
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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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3
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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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4
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Anyansi C, Straub TJ, Manson AL, Earl AM, Abeel T. Computational Methods for Strain-Level Microbial Detection in Colony and Metagenome Sequencing Data. Front Microbiol 2020; 11:1925. [PMID: 33013732 PMCID: PMC7507117 DOI: 10.3389/fmicb.2020.01925] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 07/22/2020] [Indexed: 01/17/2023] Open
Abstract
Metagenomic sequencing is a powerful tool for examining the diversity and complexity of microbial communities. Most widely used tools for taxonomic profiling of metagenomic sequence data allow for a species-level overview of the composition. However, individual strains within a species can differ greatly in key genotypic and phenotypic characteristics, such as drug resistance, virulence and growth rate. Therefore, the ability to resolve microbial communities down to the level of individual strains within a species is critical to interpreting metagenomic data for clinical and environmental applications, where identifying a particular strain, or tracking a particular strain across a set of samples, can help aid in clinical diagnosis and treatment, or in characterizing yet unstudied strains across novel environmental locations. Recently published approaches have begun to tackle the problem of resolving strains within a particular species in metagenomic samples. In this review, we present an overview of these new algorithms and their uses, including methods based on assembly reconstruction and methods operating with or without a reference database. While existing metagenomic analysis methods show reasonable performance at the species and higher taxonomic levels, identifying closely related strains within a species presents a bigger challenge, due to the diversity of databases, genetic relatedness, and goals when conducting these analyses. Selection of which metagenomic tool to employ for a specific application should be performed on a case-by case basis as these tools have strengths and weaknesses that affect their performance on specific tasks. A comprehensive benchmark across different use case scenarios is vital to validate performance of these tools on microbial samples. Because strain-level metagenomic analysis is still in its infancy, development of more fine-grained, high-resolution algorithms will continue to be in demand for the future.
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Affiliation(s)
- Christine Anyansi
- Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Timothy J. Straub
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Abigail L. Manson
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Ashlee M. Earl
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Thomas Abeel
- Delft Bioinformatics Lab, Delft University of Technology, Delft, Netherlands
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA, United States
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5
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Bacterial Genotyping of Central Nervous System Tuberculosis in South Africa: Heterogenic Mycobacterium tuberculosis Infection and Predominance of Lineage 4. J Clin Microbiol 2019; 57:JCM.00415-19. [PMID: 31189579 DOI: 10.1128/jcm.00415-19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 05/30/2019] [Indexed: 12/20/2022] Open
Abstract
Tuberculous meningitis (TBM), the most severe extrapulmonary manifestation of tuberculosis, is caused by the pathogen Mycobacterium tuberculosis The M. tuberculosis complex includes seven lineages, all described to harbor a unique geographical dissemination pattern and clinical presentation. In this study, we set out to determine whether a certain M. tuberculosis lineage demonstrated tropism to cause TBM in patients from Cape Town, South Africa. DNA was extracted from formalin-fixed paraffin-embedded central nervous system (CNS) tissue from a unique neuropathological cohort of 83 TBM patients, collected between 1975 and 2012. M. tuberculosis lineages 1, 2, 3, and 4 were determined using an allele-specific PCR and Sanger sequencing. Of the 83 patient specimens tested, bacterial characterization could be performed on 46 specimens (55%). M. tuberculosis lineage 4 was present in 26 patient specimens (56%), and non-lineage 4 was identified in 10 cases (22%). Moreover, genomic heterogeneity was detected in the CNS specimens of 7 adults and 3 children. We could show that infection of the CNS is not restricted to a single M. tuberculosis lineage and that even young children with rapid progression of disease can harbor more than one M. tuberculosis lineage in the CNS.
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6
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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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7
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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: 3] [Impact Index Per Article: 0.5] [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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8
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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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9
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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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10
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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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11
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Abascal E, Herrera DM, Herranz M, Santantón S, Martínez-Lirola M, Tudó G, Gonzalez J, Bouza E, Pérez-Lago L, García-de-Viedma D. A deletion hampering appropriate typing of Mycobacterium africanum. Tuberculosis (Edinb) 2017; 103:24-27. [PMID: 28237030 DOI: 10.1016/j.tube.2016.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 12/22/2016] [Accepted: 12/24/2016] [Indexed: 11/26/2022]
Abstract
Molecular epidemiology analysis of tuberculosis transmission is based mostly on the application of MIRU-VNTR. In certain isolates a complete 24-loci genotype is not obtained and these incompletely genotyped isolates can not be used in the definition of clusters. In a population-based molecular epidemiology study performed in Almería, Southeast Spain, a context with a high proportion of immigrants, we found that an 88-bp deletion in isolates of Mycobacterium africanum Lineage 5 hampers MIRU-VNTR analysis. A more extensive analysis revealed that this deletion was shared by all the Lineage 5 isolates in certain countries of origin of immigrants, such as Equatorial Guinea, and is likely present in several other African countries and also in the USA. A procedure is proposed to enable epidemiological analysis of these isolates.
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Affiliation(s)
- Estefanía Abascal
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | - Diana Maricela Herrera
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Grupo de Investigación en Sanidad Animal y Humana, Departamento de Ciencias de la Vida y la Agricultura Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador
| | - 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, Spain
| | - Sheila Santantón
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
| | | | - Griselda Tudó
- Servei de Microbiologia, Hospital Clinic-CDB, Barcelona, Spain; IS Global, Barcelona, Spain
| | - Juliá Gonzalez
- Servei de Microbiologia, Hospital Clinic-CDB, Barcelona, Spain; IS Global, Barcelona, 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, 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, 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, Spain.
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12
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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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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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Molecular and epidemiological population-based integrative analysis of human and animal Mycobacterium bovis infections in a low-prevalence setting. Vet Microbiol 2016; 195:30-36. [DOI: 10.1016/j.vetmic.2016.08.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Revised: 08/19/2016] [Accepted: 08/21/2016] [Indexed: 11/19/2022]
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15
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Methodological and Clinical Aspects of the Molecular Epidemiology of Mycobacterium tuberculosis and Other Mycobacteria. Clin Microbiol Rev 2016; 29:239-90. [PMID: 26912567 DOI: 10.1128/cmr.00055-15] [Citation(s) in RCA: 97] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Molecular typing has revolutionized epidemiological studies of infectious diseases, including those of a mycobacterial etiology. With the advent of fingerprinting techniques, many traditional concepts regarding transmission, infectivity, or pathogenicity of mycobacterial bacilli have been revisited, and their conventional interpretations have been challenged. Since the mid-1990s, when the first typing methods were introduced, a plethora of other modalities have been proposed. So-called molecular epidemiology has become an essential subdiscipline of modern mycobacteriology. It serves as a resource for understanding the key issues in the epidemiology of tuberculosis and other mycobacterial diseases. Among these issues are disclosing sources of infection, quantifying recent transmission, identifying transmission links, discerning reinfection from relapse, tracking the geographic distribution and clonal expansion of specific strains, and exploring the genetic mechanisms underlying specific phenotypic traits, including virulence, organ tropism, transmissibility, or drug resistance. Since genotyping continues to unravel the biology of mycobacteria, it offers enormous promise in the fight against and prevention of the diseases caused by these pathogens. In this review, molecular typing methods for Mycobacterium tuberculosis and nontuberculous mycobacteria elaborated over the last 2 decades are summarized. The relevance of these methods to the epidemiological investigation, diagnosis, evolution, and control of mycobacterial diseases is discussed.
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16
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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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17
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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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18
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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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19
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Salas-Coronas J, Rogado-González MC, Lozano-Serrano AB, Cabezas-Fernández MT. [Tuberculosis and immigration]. Enferm Infecc Microbiol Clin 2016; 34:261-9. [PMID: 26851978 DOI: 10.1016/j.eimc.2015.12.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2015] [Accepted: 12/31/2015] [Indexed: 11/19/2022]
Abstract
The incidence of tuberculosis worldwide is declining. However, in Western countries this decline is slower due to the impact of immigration. Tuberculosis in the immigrant population is related to health status in the country of origin and with overcrowding and poverty conditions in the host country. Immigrants with tuberculosis are younger, have a higher prevalence of extrapulmonary forms, greater proportion of drug resistance and higher treatment default rates than those of natives. New molecular techniques not only reduce diagnostic delay time but also allow the rapid identification of resistances and improve knowledge of transmission patterns. It is necessary to implement measures to improve treatment compliance in this population group like facilitating access to health card, the use of fixed-dose combination drugs, the participation of cultural mediators and community health workers and gratuity of drugs.
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Affiliation(s)
- Joaquín Salas-Coronas
- Unidad de Medicina Tropical, Hospital de Poniente, El Ejido, Almería, España; Centro de Estudio de las Migraciones y Relaciones Interculturales (CEMyRI). Universidad de Almería, Almería, España.
| | | | | | - M Teresa Cabezas-Fernández
- Unidad de Medicina Tropical, Hospital de Poniente, El Ejido, Almería, España; Centro de Estudio de las Migraciones y Relaciones Interculturales (CEMyRI). Universidad de Almería, Almería, España
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20
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Navarro Y, Romero B, Bouza E, Domínguez L, Juan LD, García-de-Viedma D. Detailed chronological analysis of microevolution events in herds infected persistently by Mycobacterium bovis. Vet Microbiol 2016; 183:97-102. [DOI: 10.1016/j.vetmic.2015.11.032] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Revised: 11/06/2015] [Accepted: 11/24/2015] [Indexed: 11/27/2022]
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21
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Wilson BA, Garud NR, Feder AF, Assaf ZJ, Pennings PS. The population genetics of drug resistance evolution in natural populations of viral, bacterial and eukaryotic pathogens. Mol Ecol 2015; 25:42-66. [PMID: 26578204 PMCID: PMC4943078 DOI: 10.1111/mec.13474] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Revised: 09/28/2015] [Accepted: 10/08/2015] [Indexed: 01/09/2023]
Abstract
Drug resistance is a costly consequence of pathogen evolution and a major concern in public health. In this review, we show how population genetics can be used to study the evolution of drug resistance and also how drug resistance evolution is informative as an evolutionary model system. We highlight five examples from diverse organisms with particular focus on: (i) identifying drug resistance loci in the malaria parasite Plasmodium falciparum using the genomic signatures of selective sweeps, (ii) determining the role of epistasis in drug resistance evolution in influenza, (iii) quantifying the role of standing genetic variation in the evolution of drug resistance in HIV, (iv) using drug resistance mutations to study clonal interference dynamics in tuberculosis and (v) analysing the population structure of the core and accessory genome of Staphylococcus aureus to understand the spread of methicillin resistance. Throughout this review, we discuss the uses of sequence data and population genetic theory in studying the evolution of drug resistance.
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Affiliation(s)
- Benjamin A Wilson
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
| | - Nandita R Garud
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Alison F Feder
- Department of Biology, Stanford University, Stanford, CA, 94305, USA
| | - Zoe J Assaf
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Pleuni S Pennings
- Department of Biology, San Francisco State University, Room 520, Hensill Hall, 1600 Holloway Ave, San Francisco, CA, 94132, USA
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22
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Streit E, Millet J, Rastogi N. Mycobacterium tuberculosis polyclonal infections and microevolution identified by MIRU-VNTRs in an epidemiological study. Int J Mycobacteriol 2015; 4:222-7. [DOI: 10.1016/j.ijmyco.2015.05.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Revised: 05/05/2015] [Accepted: 05/06/2015] [Indexed: 10/23/2022] Open
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Persistent Infection by a Mycobacterium tuberculosis Strain That Was Theorized To Have Advantageous Properties, as It Was Responsible for a Massive Outbreak. J Clin Microbiol 2015; 53:3423-9. [PMID: 26269618 DOI: 10.1128/jcm.01405-15] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Accepted: 08/01/2015] [Indexed: 01/21/2023] Open
Abstract
The strains involved in tuberculosis outbreaks are considered highly virulent and transmissible. We analyzed the case of a patient in Madrid, Spain, who was persistently infected over an 8-year period by the same Beijing Mycobacterium tuberculosis strain. The strain was responsible for a severe outbreak on Gran Canaria Island. The case provides us with a unique opportunity to challenge our assumptions about M. tuberculosis Beijing strains. No clinical/radiological findings consistent with a virulent strain were documented, and the in vitro growth rate of the strain in macrophages was only moderate. No secondary cases stemming from this prolonged active case were detected in the host population. The strain did not acquire resistance mutations, despite constant treatment interruptions, and it remained extremely stable, as demonstrated by the lack of single-nucleotide-polymorphism (SNP)-based differences between the sequential isolates. Our data suggest that the general assumption about M. tuberculosis Beijing strains having advantageous properties (in terms of virulence, transmissibility, and the tendency to acquire mutations and resistance) is not always accurate.
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24
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Prevalence and risk factors of mixed Mycobacterium tuberculosis complex infections in China. J Infect 2015; 71:231-7. [PMID: 25936744 DOI: 10.1016/j.jinf.2015.03.012] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Revised: 03/01/2015] [Accepted: 03/16/2015] [Indexed: 11/21/2022]
Abstract
OBJECTIVES Mixed infections have been considered as a potential obstacle for tuberculosis treatment and control. To date, few studies have been done to determine the rate of mixed infections of Mycobacterium tuberculosis in China. METHODS In this study, we used the standard 24-loci MIRU-VNTR method to genotype the representative M. tuberculosis isolates from the national drug-resistant survey conducted in China. A total of 3248 M. tuberculosis complex (MTBC) strains had complete 24-loci MIRU-VNTR results and available for the analyses. RESULTS Overall, MIRU-VNTR typing identified 115 (3.5%) isolates as being mixed MTBC infections in China. Statistical analysis revealed that mixed infections were significantly more likely to occur in men than women. Compared with the percentage of mixed infection from patients aged 45-56 years, the percentages of mixed infections were higher among patients aged 25-44 years [OR (95% CI): 1.844(1.129-3.014)] and old patients [older than 65 years OR (95% CI): 1.908(1.097-3.319)]. In addition, significantly higher frequencies of hemoptysis (P = 0.022) and chest pain (P = 0.012) were observed among mixed infections, using patients infected with a single strain as a reference. CONCLUSIONS In conclusion, this study has provided the first comprehensive understanding of mixed MTBC infections in China, which will be essential to generate the effective TB control strategies.
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Mixed Infections and Rifampin Heteroresistance among Mycobacterium tuberculosis Clinical Isolates. J Clin Microbiol 2015; 53:2138-47. [PMID: 25903578 DOI: 10.1128/jcm.03507-14] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Accepted: 04/16/2015] [Indexed: 11/20/2022] Open
Abstract
Mixed infections and heteroresistance of Mycobacterium tuberculosis contribute to the difficulty of diagnosis, treatment, and control of tuberculosis. However, there is still no proper solution for these issues. This study aimed to investigate the potential relationship between mixed infections and heteroresistance and to determine the high-risk groups related to these factors. A total of 499 resistant and susceptible isolates were subjected to spoligotyping and 24-locus variable-number tandem repeat methods to analyze their genotypic lineages and the occurrence of mixed infections. Two hundred ninety-two randomly selected isolates were sequenced on their rpoB gene to examine mutations and heteroresistance. The results showed that 12 patients had mixed infections, and the corresponding isolates belonged to Manu2 (n = 8), Beijing (n = 2), T (n = 1), and unknown (n = 1) lineages. Manu2 was found to be significantly associated with mixed infections (odds ratio, 47.72; confidence interval, 9.68 to 235.23; P < 0.01). Four isolates (1.37%) were confirmed to be heteroresistant, which was caused by mixed infections in three (75%) isolates; these belonged to Manu2. Additionally, 3.8% of the rifampin-resistant isolates showing no mutation in the rpoB gene were significantly associated with mixed infections (χ(2), 56.78; P < 0.01). This study revealed for the first time that Manu2 was the predominant group in the cases of mixed infections, and this might be the main reason for heteroresistance and a possible mechanism for isolates without any mutation in the rpoB gene to become rifampin resistant. Further studies should focus on this lineage to clarify its relevance to mixed infections.
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26
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Plazzotta G, Cohen T, Colijn C. Magnitude and sources of bias in the detection of mixed strain M. tuberculosis infection. J Theor Biol 2014; 368:67-73. [PMID: 25553967 PMCID: PMC7011203 DOI: 10.1016/j.jtbi.2014.12.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2014] [Revised: 12/11/2014] [Accepted: 12/16/2014] [Indexed: 11/26/2022]
Abstract
High resolution tests for genetic variation reveal that individuals may simultaneously host more than one distinct strain of Mycobacterium tuberculosis. Previous studies find that this phenomenon, which we will refer to as “mixed infection”, may affect the outcomes of treatment for infected individuals and may influence the impact of population-level interventions against tuberculosis. In areas where the incidence of TB is high, mixed infections have been found in nearly 20% of patients; these studies may underestimate the actual prevalence of mixed infection given that tests may not be sufficiently sensitive for detecting minority strains. Specific reasons for failing to detect mixed infections would include low initial numbers of minority strain cells in sputum, stochastic growth in culture and the physical division of initial samples into parts (typically only one of which is genotyped). In this paper, we develop a mathematical framework that models the study designs aimed to detect mixed infections. Using both a deterministic and a stochastic approach, we obtain posterior estimates of the prevalence of mixed infection. We find that the posterior estimate of the prevalence of mixed infection may be substantially higher than the fraction of cases in which it is detected. We characterize this bias in terms of the sensitivity of the genotyping method and the relative growth rates and initial population sizes of the different strains collected in sputum.
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Affiliation(s)
| | - Ted Cohen
- Brigham and Women׳s Hospital, Harvard School of Public Health, United States
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27
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Navarro Y, Romero B, Copano MF, Bouza E, Domínguez L, de Juan L, García-de-Viedma D. Multiple sampling and discriminatory fingerprinting reveals clonally complex and compartmentalized infections by M. bovis in cattle. Vet Microbiol 2014; 175:99-104. [PMID: 25439651 DOI: 10.1016/j.vetmic.2014.11.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2014] [Revised: 10/27/2014] [Accepted: 11/02/2014] [Indexed: 10/24/2022]
Abstract
The combination of new genotyping tools and a more exhaustive sampling policy in the analysis of infection by Mycobacterium tuberculosis has shown that infection by this pathogen is more complex than initially expected. Mixed infections, coexistence of clonal variants from a parental strain, and compartmentalized infections are all different modalities of this clonal complexity. Until recently, genotyping of Mycobacterium bovis in animal populations was based on spoligotyping and analysis of a single isolate per infection; therefore, clonal complexity is probably underdetected. We used multiple sampling combined with highly discriminatory MIRU-VNTR to study compartmentalized infections by M. bovis in a low-tuberculosis prevalence setting. We spoligotyped the M. bovis isolates from two or more anatomic locations sampled from 55 animals on 39 independent farms. Compartmentalized infections, with two different strains infecting independent lymph nodes in the same animal, were found in six cases (10.9%). MIRU-VNTR analysis confirmed that the compartmentalization was strict and that only one strain was present in each infected node. MIRU-VNTR analysis of additional infected animals on one of the farms confirmed that the compartmentalized infection was a consequence of superinfection, since the two strains were independently infecting other animals. This same analysis revealed the emergence of a microevolved clonal variant in one of the lymph nodes of the compartmentalized animal. Clonal complexity must also be taken into consideration in M. bovis infection, even in low-prevalence settings, and analyses must be adapted to detect it and increase the accuracy of molecular epidemiology studies.
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Affiliation(s)
- Yurena Navarro
- 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, Spain; CEI Campus Moncloa, UCM-UPM, Madrid, Spain; Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, 28040 Madrid, Spain
| | - Beatriz Romero
- CEI Campus Moncloa, UCM-UPM, Madrid, Spain; Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, 28040 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, Spain; Departamento de Medicina, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Lucas Domínguez
- CEI Campus Moncloa, UCM-UPM, Madrid, Spain; Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, 28040 Madrid, Spain; Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense Madrid, 28040 Madrid, Spain
| | - Lucía de Juan
- CEI Campus Moncloa, UCM-UPM, Madrid, Spain; Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense Madrid, 28040 Madrid, Spain; Departamento de Sanidad Animal, Facultad de Veterinaria, Universidad Complutense Madrid, 28040 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, Spain; CEI Campus Moncloa, UCM-UPM, Madrid, Spain.
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Pérez-Lago L, Palacios JJ, Herranz M, Ruiz Serrano MJ, Bouza E, García-de-Viedma D. Revealing hidden clonal complexity in Mycobacterium tuberculosis infection by qualitative and quantitative improvement of sampling. Clin Microbiol Infect 2014; 21:147.e1-7. [PMID: 25658553 DOI: 10.1016/j.cmi.2014.09.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2014] [Revised: 09/22/2014] [Accepted: 09/26/2014] [Indexed: 11/30/2022]
Abstract
The analysis of microevolution events, its functional relevance and impact on molecular epidemiology strategies, constitutes one of the most challenging aspects of the study of clonal complexity in infection by Mycobacterium tuberculosis. In this study, we retrospectively evaluated whether two improved sampling schemes could provide access to the clonal complexity that is undetected by the current standards (analysis of one isolate from one sputum). We evaluated in 48 patients the analysis by mycobacterial interspersed repetitive unit-variable number tandem repeat of M. tuberculosis isolates cultured from bronchial aspirate (BAS) or bronchoalveolar lavage (BAL) and, in another 16 cases, the analysis of a higher number of isolates from independent sputum samples. Analysis of the isolates from BAS/BAL specimens revealed clonal complexity in a very high proportion of cases (5/48); in most of these cases, complexity was not detected when the isolates from sputum samples were analysed. Systematic analysis of isolates from multiple sputum samples also improved the detection of clonal complexity. We found coexisting clonal variants in two of 16 cases that would have gone undetected in the analysis of the isolate from a single sputum specimen. Our results suggest that analysis of isolates from BAS/BAL specimens is highly efficient for recording the true clonal composition of M. tuberculosis in the lungs. When these samples are not available, we recommend increasing the number of isolates from independent sputum specimens, because they might not harbour the same pool of bacteria. Our data suggest that the degree of clonal complexity in tuberculosis has been underestimated because of the deficiencies inherent in a simplified procedure.
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Affiliation(s)
- L 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, Spain
| | - J J Palacios
- Unidad de Referencia Regional de Micobacterias, Servicio de Microbiología, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - M 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, Spain
| | - M J 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, Spain
| | - E 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, Spain; Departamento de Medicina, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - D 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, Spain; CEI Campus Moncloa, UCM-UPM, Madrid, Spain.
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29
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Zetola NM, Modongo C, Moonan PK, Ncube R, Matlhagela K, Sepako E, Collman RG, Bisson GP. Clinical outcomes among persons with pulmonary tuberculosis caused by Mycobacterium tuberculosis isolates with phenotypic heterogeneity in results of drug-susceptibility tests. J Infect Dis 2014; 209:1754-63. [PMID: 24443546 PMCID: PMC4017367 DOI: 10.1093/infdis/jiu040] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2013] [Accepted: 12/18/2013] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Patients with multidrug-resistant (MDR) tuberculosis may have phenotypic heterogeneity in results of drug-susceptibility tests (DSTs). However, the impact of this on clinical outcomes among patients treated for MDR tuberculosis is unknown. METHODS Phenotypic DST heterogeneity was defined as presence of at least 1 Mycobacterium tuberculosis isolate susceptible to rifampicin and isoniazid recovered <3 months after MDR tuberculosis treatment initiation from a patient with previous documented tuberculosis due to M. tuberculosis resistant to at least rifampicin and isoniazid. The primary outcome was defined as good (ie, cure or treatment completion) or poor (ie, treatment failure, treatment default, or death). A secondary outcome was time to culture conversion. Cox proportional hazard models were used to determine the association between phenotypic DST heterogeneity and outcomes. RESULTS Phenotypic DST heterogeneity was identified in 33 of 475 patients (7%) with MDR tuberculosis. Poor outcome occurred in 126 patients (28%). Overall, patients with MDR tuberculosis who had phenotypic DST heterogeneity were at greater risk of poor outcome than those with MDR tuberculosis but no phenotypic DST heterogeneity (adjusted hazard ratio [aHR], 2.1; 95% confidence interval [CI], 1.2-3.6). Among HIV-infected patients with MDR tuberculosis, the adjusted hazard for a poor outcome for those with phenotypic DST heterogeneity was 2.4 (95% CI, 1.3-4.2) times that for those without phenotypic DST heterogeneity, whereas among HIV-negative patients with MDR tuberculosis, the adjusted hazard for those with phenotypic DST heterogeneity was 1.5 (95% CI, .5-4.3) times that for those without phenotypic DST heterogeneity. HIV-infected patients with MDR tuberculosis with phenotypic DST heterogeneity also had a longer time to culture conversion than with HIV-infected patients with MDR tuberculosis without phenotypic DST heterogeneity (aHR, 2.9; 95% CI, 1.4-6.0). CONCLUSIONS Phenotypic DST heterogeneity among persons with HIV infection who are being treated for MDR tuberculosis is associated with poor outcomes and longer times to culture conversion.
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Affiliation(s)
- Nicola M. Zetola
- Division of Infectious Diseases
- Botswana–University of Pennsylvania Partnership
- Department of Medicine
- Princess Marina Referral Hospital
| | - Chawangwa Modongo
- Botswana–University of Pennsylvania Partnership
- Princess Marina Referral Hospital
| | | | - Ronald Ncube
- Botswana National Tuberculosis Programme, Gaborone, Botswana
| | | | - Enoch Sepako
- Department of Biological Sciences, University of Botswana
| | - Ronald G. Collman
- Division of Pulmonary and Critical Care Medicine, University of Pennsylvania, Philadelphia
| | - Gregory P. Bisson
- Division of Infectious Diseases
- Botswana–University of Pennsylvania Partnership
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Usefulness of Genotype MTBDRplus assay in acid-fast bacilli positive smear specimens in Almeria, Spain. Enferm Infecc Microbiol Clin 2014; 32:511-4. [PMID: 24801525 DOI: 10.1016/j.eimc.2014.02.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2013] [Revised: 01/27/2014] [Accepted: 02/24/2014] [Indexed: 11/22/2022]
Abstract
INTRODUCTION The urgent need for operational research evaluating test performance in a real-world setting has been highlighted. The purpose of this study was therefore to evaluate the performance of MTBDRplus assay. MATERIALS According to the reference method, of the 155 clinical specimens with valid results, 147 were susceptible to rifampicin (RIF) and isoniazid (INH), with 4 being multi-drug resistant (MDR) and 4 with isolated resistance to isoniazid (INH). RESULTS The results of the MTBDRplus assay were 100% concordant for the MDR and mono-resistant to INH specimens. However, the MTBDRplus assay showed a resistance pattern to RIF in one specimen which was classified as susceptible by the reference method. The majority of the specimens (118/75.6%) were also tested using the MTBDRplus method after culture on Lowenstein-Jensen media, showing 100% agreement with the results of the test directly from the specimens. An MTBDRplus test result was available within an average of 8 days. CONCLUSIONS Overall, MTBDR results showed excellent results when compared with the reference method and achieved a significant time-reduction.
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Hingley-Wilson SM, Casey R, Connell D, Bremang S, Evans JT, Hawkey PM, Smith GE, Jepson A, Philip S, Kon OM, Lalvani A. Undetected multidrug-resistant tuberculosis amplified by first-line therapy in mixed infection. Emerg Infect Dis 2014; 19:1138-41. [PMID: 23764343 DOI: 10.3201/1907.130313] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Infections with >1 Mycobacterium tuberculosis strain(s) are underrecognized. We show, in vitro and in vivo, how first-line treatment conferred a competitive growth advantage to amplify a multidrug-resistant M. tuberculosis strain in a patient with mixed infection. Diagnostic techniques that identify mixed tubercle bacilli populations are needed to curb the spread of multidrug resistance.
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32
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Hingley-Wilson SM, Casey R, Connell D, Bremang S, Evans JT, Hawkey PM, Smith GE, Jepson A, Philip S, Kon OM, Lalvani A. Undetected multidrug-resistant tuberculosis amplified by first-line therapy in mixed infection. Emerg Infect Dis 2014. [PMID: 23764343 PMCID: PMC3713993 DOI: 10.3201/eid1907.130313] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Infections with >1 Mycobacterium tuberculosis strain(s) are underrecognized. We show, in vitro and in vivo, how first-line treatment conferred a competitive growth advantage to amplify a multidrug-resistant M. tuberculosis strain in a patient with mixed infection. Diagnostic techniques that identify mixed tubercle bacilli populations are needed to curb the spread of multidrug resistance.
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33
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Differences in gene expression between clonal variants of Mycobacterium tuberculosis emerging as a result of microevolution. Int J Med Microbiol 2013; 303:674-7. [PMID: 24189285 DOI: 10.1016/j.ijmm.2013.09.010] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2013] [Revised: 09/20/2013] [Accepted: 09/28/2013] [Indexed: 01/22/2023] Open
Abstract
Clonal variants of Mycobacterium tuberculosis can emerge as a result of microevolution in a single host or after sequential infection of different hosts. The significance of subtle genotypic variations is still unknown. In three of the four loci analyzed from clonal variants differing in only one MIRU-VNTR locus, we found that the expression of the adjacent genes was modulated differently. These data highlight the potential advantages that acquisition of subtle variability may have in M. tuberculosis.
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Navarro Y, Pérez-Lago L, Sislema F, Herranz M, de Juan L, Bouza E, García-de-Viedma D. Unmasking subtle differences in the infectivity of microevolved Mycobacterium tuberculosis variants coinfecting the same patient. Int J Med Microbiol 2013; 303:693-6. [PMID: 24183098 DOI: 10.1016/j.ijmm.2013.10.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2013] [Revised: 09/24/2013] [Accepted: 10/03/2013] [Indexed: 02/08/2023] Open
Abstract
Clonal variants of Mycobacterium tuberculosis can emerge as a result of microevolution phenomena. The functional significance of these subtle genetic rearrangements is normally disregarded. We show that clonal variants from two patients had different infective behaviours in some in vitro cellular infection models but not in others. Microevolution may have a subtle impact on infectivity, but specific experimental conditions are needed to unmask it.
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Affiliation(s)
- Yurena Navarro
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain; Centro de Vigilancia Sanitaria Veterinaria (VISAVET), Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, 28040 Madrid, Spain; CEI Campus Moncloa, UCM-UPM, Madrid, Spain; CIBER Enfermedades Respiratorias, CIBERES, Spain
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35
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Pérez-Lago L, Comas I, Navarro Y, González-Candelas F, Herranz M, Bouza E, García-de-Viedma D. Whole genome sequencing analysis of intrapatient microevolution in Mycobacterium tuberculosis: potential impact on the inference of tuberculosis transmission. J Infect Dis 2013; 209:98-108. [PMID: 23945373 DOI: 10.1093/infdis/jit439] [Citation(s) in RCA: 106] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND It has been accepted that the infection by Mycobacterium tuberculosis (M. tuberculosis) can be more heterogeneous than considered. The emergence of clonal variants caused by microevolution events leading to population heterogeneity is a phenomenon largely unexplored. Until now, we could only superficially analyze this phenomenon by standard fingerprinting (RFLP and VNTR). METHODS In this study we applied whole genome sequencing for a more in-depth analysis of the scale of microevolution both at the intrapatient and interpatient scenarios. RESULTS We found that the amount of variation accumulated within a patient can be as high as that observed between patients along a chain of transmission. Intrapatient diversity was found both at the extrapulmonary and respiratory sites, meaning that this variability can be transmitted and impact on the inference of transmission events. One of the events studied allowed us to track for a single strain the complete process of (i) interpatient microevolution, (ii) intrapatient respiratory variation, and (iii) isolation of different variants at different infected sites of this patient. CONCLUSIONS Our study adds new data to the understanding of variability in M. tuberculosis in a wide clinical scenario and alerts about the difficulties of establishing thresholds to differentiate relatedness in M. tuberculosis with epidemiological purposes.
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Affiliation(s)
- Laura Pérez-Lago
- Servicio Microbiología Clínica y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
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Population structure of mixed Mycobacterium tuberculosis infection is strain genotype and culture medium dependent. PLoS One 2013; 8:e70178. [PMID: 23936157 PMCID: PMC3728311 DOI: 10.1371/journal.pone.0070178] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2013] [Accepted: 06/17/2013] [Indexed: 11/19/2022] Open
Abstract
Background Molecular genotyping methods have shown infection with more than one Mycobacterium tuberculosis strain genotype in a single sputum culture, indicating mixed infection. Aim This study aimed to develop a PCR-based genotyping tool to determine the population structure of M. tuberculosis strain genotypes in primary Mycobacterial Growth Indicator Tubes (MGIT) and Löwenstein–Jensen (LJ) cultures to identify mixed infections and to establish whether the growth media influenced the recovery of certain strain genotypes. Method A convenience sample of 206 paired MGIT and LJ M. tuberculosis cultures from pulmonary tuberculosis patients resident in Khayelitsha, South Africa were genotyped using an in-house PCR-based method to detect defined M. tuberculosis strain genotypes. Results The sensitivity and specificity of the PCR-based method for detecting Beijing, Haarlem, S-family, and LAM genotypes was 100%, and 75% and 50% for detecting the Low Copy Clade, respectively. Thirty-one (15%) of the 206 cases showed the presence of more than one M. tuberculosis strain genotype. Strains of the Beijing and Haarlem genotypes were significantly more associated with a mixed infection (on both media) when compared to infections with a single strain (Beijing MGIT p = 0.02; LJ, p<0.01) and (Haarlem: MGIT p<0.01; LJ, p = 0.01). Strains with the Beijing genotype were less likely to be with “other genotype” strains (p<0.01) while LAM, Haarlem, S-family and LCC occurred independently with the Beijing genotype. Conclusion The PCR-based method was able to identify mixed infection in at least 15% of the cases. LJ media was more sensitive in detecting mixed infections than MGIT media, implying that the growth characteristics of M. tuberculosis on different media may influence our ability to detect mixed infections. The Beijing and Haarlem genotypes were more likely to occur in a mixed infection than any of the other genotypes tested suggesting pathogen-pathogen compatibility.
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Muwonge A, Kankya C, Olea-Popelka F, Biffa D, Ssengooba W, Berit D, Skjerve E, Johansen TB. Molecular investigation of multiple strain infections in patients with tuberculosis in Mubende district, Uganda. INFECTION GENETICS AND EVOLUTION 2013; 17:16-22. [PMID: 23548804 DOI: 10.1016/j.meegid.2013.03.039] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2013] [Revised: 03/18/2013] [Accepted: 03/19/2013] [Indexed: 02/07/2023]
Abstract
Multiple strain tuberculosis (TB) infections are now an acceptable facet of tuberculosis epidemiology. Identification of patients infected with more than one strain gives an insight in disease dynamics at individual and population level. This study therefore aimed at identifying multiple strain infections among TB infected patients. Furthermore, to determine factors associated with multiple strain infections in Mubende district of Uganda. A total of 72 Mycobacterium tuberculosis isolates from patients at Mubende regional referral hospital were characterized using 15 loci MIRU-VNTR, Spoligotyping and deletion analysis. Genotypic and epidemiological data were analyzed using MIRU-VNTR plus, Bionumerics software version 6.1 and an exact logistic regression model respectively. Eight (11.1%) of the 72 patients had mixed TB infections. Five were exclusively pulmonary mixed infections while three had both pulmonary and extra-pulmonary infections (Compartmentalized TB infections). Unlike previous studies that have linked this phenomenon to Beijing strains, multiple strains in this study belonged to T2-Uganda, X2 and T1 lineages. Two of the pulmonary mixed infections were resistant to rifampicin or isoniazid. All except one were HIV positive, newly diagnosed cases and urban residents of Mubende district. The study revealed that one in nine urban dwelling, HIV/TB co-infected patient were infected with more than one M. tuberculosis strains. The molecular findings give indications of a vital component of the disease dynamics that is most likely under looked at clinical level.
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Affiliation(s)
- Adrian Muwonge
- Department of Food Safety and Infection Biology, Centre for Epidemiology and Biostatistics, Norwegian School of Veterinary Science, PO Box 8146 Dep, 0033 Oslo, Norway.
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Pérez-Lago L, Navarro Y, Herranz M, Bouza E, García-de-Viedma D. Genetic features shared by Mycobacterium tuberculosis strains involved in microevolution events. INFECTION GENETICS AND EVOLUTION 2013; 16:326-9. [PMID: 23499710 DOI: 10.1016/j.meegid.2013.02.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2012] [Revised: 02/18/2013] [Accepted: 02/25/2013] [Indexed: 10/27/2022]
Abstract
Microevolved Mycobacterium tuberculosis (MTB) clonal variants from a parental strain can emerge within a single patient infection and during transmission events. Genotypic rearrangements may involve functional changes conferring advantages to favor strain adaptation to the host. In the present study, we analyzed in depth some genotypic characteristics of a strain with a high tendency to microevolve that generated 6 clonal variants during transmission of sequential hosts. In order to identify genetic features potentially associated to microevolution in MTB, we analyzed 56 3R genes and the IS6110 insertion sites from this strain and identified an SNP in alkA and an IS6110 copy located upstream of a transposase (Rv0755A). These markers could be involved in mechanisms leading to genotypic variation. Both features were shared by strains from our collection that were also involved in microevolution, suggesting their putative association with these events.
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Affiliation(s)
- Laura Pérez-Lago
- Servicio de Microbiología y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
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Mixed-strain mycobacterium tuberculosis infections and the implications for tuberculosis treatment and control. Clin Microbiol Rev 2013; 25:708-19. [PMID: 23034327 DOI: 10.1128/cmr.00021-12] [Citation(s) in RCA: 142] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Numerous studies have reported that individuals can simultaneously harbor multiple distinct strains of Mycobacterium tuberculosis. To date, there has been limited discussion of the consequences for the individual or the epidemiological importance of mixed infections. Here, we review studies that documented mixed infections, highlight challenges associated with the detection of mixed infections, and discuss possible implications of mixed infections for the diagnosis and treatment of patients and for the community impact of tuberculosis control strategies. We conclude by highlighting questions that should be resolved in order to improve our understanding of the importance of mixed-strain M. tuberculosis infections.
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Walter ND, Strong M, Belknap R, Ordway DJ, Daley CL, Chan ED. Translating basic science insight into public health action for multidrug- and extensively drug-resistant tuberculosis. Respirology 2012; 17:772-91. [PMID: 22458269 PMCID: PMC4540333 DOI: 10.1111/j.1440-1843.2012.02176.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Multidrug (MDR)- and extensively drug-resistant (XDR) tuberculosis (TB) impose a heavy toll of human suffering and social costs. Controlling drug-resistant TB is a complex global public health challenge. Basic science advances including elucidation of the genetic basis of resistance have enabled development of new assays that are transforming the diagnosis of MDR-TB. Molecular epidemiological approaches have provided new insights into the natural history of TB with important implications for drug resistance. In the future, progress in understanding Mycobacterium tuberculosis strain-specific human immune responses, integration of systems biology approaches with traditional epidemiology and insight into the biology of mycobacterial persistence have potential to be translated into new tools for diagnosis and treatment of MDR- and XDR-TB. We review recent basic sciences developments that have contributed or may contribute to improved public health response.
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Affiliation(s)
- Nicholas D Walter
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado Denver, Aurora, Colorado, USA.
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Pérez-Lago L, Herranz M, Bouza E, García de Viedma D. Dynamic and complex Mycobacterium tuberculosis microevolution unrevealed by standard genotyping. Tuberculosis (Edinb) 2012; 92:232-5. [DOI: 10.1016/j.tube.2012.01.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2011] [Revised: 01/13/2012] [Accepted: 01/15/2012] [Indexed: 11/15/2022]
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