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Marianelli C, Leonori A, Stecco R, Giannantoni C. Detection of a Mixed-Strain Infection with Drug- and Multidrug-Resistant Mycobacterium avium Subspecies hominissuis in a Dog with Generalized Lymphadenomegaly. Antibiotics (Basel) 2025; 14:416. [PMID: 40298584 PMCID: PMC12024035 DOI: 10.3390/antibiotics14040416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2025] [Revised: 04/15/2025] [Accepted: 04/16/2025] [Indexed: 04/30/2025] Open
Abstract
Background Members of the Mycobacterium avium complex (MAC) have been documented to cause severe and disseminated infections in dogs, although such cases are sporadically reported. In this study, a comprehensive account of a rare case of generalised lymphadenomegaly caused by a mixed-strain infection with drug- and multidrug-resistant Mycobacterium avium subspecies hominissuis (Mah) in a Maremma sheepdog is presented. Methods Laboratory investigations, as well as the monitoring of the clinical signs displayed by the animal, were conducted throughout the course of a two-year drug therapy (based on rifampicin, azithromycin, and ciprofloxacin) and a two-year post-treatment follow-up period, until the death of the dog. Laboratory examinations included both solid and broth cultures from fine-needle aspiration samples of lymph nodes, molecular typing by 8-locus MIRUVNTR analysis and SNPs typing of five genetic regions (gyrB, rpsA, 3'hsp65, ITS and rpoB), and drug susceptibility testing towards seven antimycobacterial drugs. Results The results indicated the presence of two distinct genotypes of Mah, which exhibited different phenotypic characteristics, such as different drug susceptibility profiles and growth abilities in broth and solid media, suggesting a mixed-strain infection. Resistances to ethambutol alone, to ethambutol and clarithromycin, and to ethambutol, clarithromycin, rifampicin, and doxycycline were detected over the study. Conclusions Although the Mah strains isolated during the course of therapy showed sensitivity to the regiment, the complete eradication of the infection was never achieved. It has been hypothesised that the presence of drug-resistant and multidrug-resistant Mah strains in the animal may have been established at the onset of the infection or soon thereafter. The exposure to therapy has been suggested as a potential factor that could have favoured the growth of resistant strains, thereby rendering the therapy ineffective. The implications that the distinct phenotypic and genotypic profiles of Mah described here may have had for disease dynamics and control are discussed.
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Affiliation(s)
- Cinzia Marianelli
- Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - Angelo Leonori
- Ambulatorio Veterinario Leonori, 02032 Fara in Sabina, Italy; (A.L.); (R.S.)
| | - Romana Stecco
- Ambulatorio Veterinario Leonori, 02032 Fara in Sabina, Italy; (A.L.); (R.S.)
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Rashid F, Iqbal S, Tahseen S, Zhao Y. Investigation of bedaquiline heteroresistance among Mycobacterium tuberculosis isolates from Pakistan. Microbiol Spectr 2025; 13:e0218124. [PMID: 39992158 PMCID: PMC11960095 DOI: 10.1128/spectrum.02181-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Accepted: 12/20/2024] [Indexed: 02/25/2025] Open
Abstract
Bedaquiline is a key drug recommended by the WHO for the treatment of multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant (XDR) TB, and its use could potentially shorten treatment duration with improved outcomes. However, resistance against this drug has increased, resulting in serious concerns. Heteroresistance is among the important obstacles to complicate the detection and treatment of MTB drug resistance. We investigated the presence of bedaquiline heteroresistant MTB isolates from Pakistan to highlight their relevance to bedaquiline resistance. Whole genome sequencing of 50 phenotypically bedaquline-resistant and 50 bedaquiline-sensitive isolates revealed 29% bedaquiline heteroresistance in our study. No significant association of patient variables (age, gender, region and history of anti-tuberculosis treatment [ATT]) was found, while drug resistance pattern among MDR + bedaquiline and XDR patterns (OR, 0.53 [0.01-0.26]; P ≤ 0.001 and OR, 0.09 [0.19-0.50]; P = 0.006) were significantly different to bedaquiline heteroresistance. Higher proportion of bedaquiline heteroresistant cases with no history of bedaquiline containing treatment was found. Most bedaquiline heteroresistant strains (n = 19) were from lineage 3, none of the strain bear mixed lineage, with Rv0678 mutations (95%) being the most prevalent genetic marker. We identified both new mutations (n = 17) and reported mutations (n = 21) that contribute to bedaquiline heteroresistance.The strains with missense variants had the highest percentage of heteroresistance (56%). Bedaquiline heteroresistance is an important indicator of emerging bedaquiline resistance, predominantly observed in previously treated cases without mixed infections, suggesting a higher likelihood of acquired resistance. Our findings accentuate the complexity of bedaquiline heteroresistance and the need for better diagnostic and appropriate therapeutic treatment approaches for drug-resistant TB with bedaquiline-containing regimens. IMPORTANCE This research is decisive as it investigates bedaquiline heteroresistance in Mycobacterium tuberculosis (MTB) isolates from Pakistan, the sixth highest burden country for drug-resistant tuberculosis (DRTB). Bedaquiline is a key drug in the treatment of MDR/XDR-TB, and the emergence of resistance to this drug threatens global efforts to control tuberculosis. Heteroresistance, where drug-susceptible and drug-resistant strains coexist, complicates detection and treatment, potentially leading to treatment failure. By focusing on MTB isolates from Pakistan, this study addresses a critical gap in understanding the prevalence and genetic mechanisms of bedaquiline resistance in a high-burden region. The use of whole genome sequencing (WGS) adds a cutting-edge approach to identifying mutations associated with resistance, offering valuable insights that could inform more effective treatment strategies and public health policies, ultimately contributing to the global fight against drug-resistant TB.
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Affiliation(s)
- Faiqa Rashid
- Department of Bioinformatics and Biosciences, Capital University of Science & Technology, Islamabad, Pakistan
| | - Shaukat Iqbal
- Department of Bioinformatics and Biosciences, Capital University of Science & Technology, Islamabad, Pakistan
| | - Sabira Tahseen
- National TB Control Program, National TB Reference Laboratory, Islamabad, Pakistan
| | - Yanlin Zhao
- National Tuberculosis Reference Laboratory, Chinese Centre for Disease Control and Prevention, Beijing, China
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Molnár D, Surányi ÉV, Trombitás T, Füzesi D, Hirmondó R, Toth J. Genetic stability of Mycobacterium smegmatis under the stress of first-line antitubercular agents. eLife 2024; 13:RP96695. [PMID: 39565350 DOI: 10.7554/elife.96695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2024] Open
Abstract
The sustained success of Mycobacterium tuberculosis as a pathogen arises from its ability to persist within macrophages for extended periods and its limited responsiveness to antibiotics. Furthermore, the high incidence of resistance to the few available antituberculosis drugs is a significant concern, especially since the driving forces of the emergence of drug resistance are not clear. Drug-resistant strains of Mycobacterium tuberculosis can emerge through de novo mutations, however, mycobacterial mutation rates are low. To unravel the effects of antibiotic pressure on genome stability, we determined the genetic variability, phenotypic tolerance, DNA repair system activation, and dNTP pool upon treatment with current antibiotics using Mycobacterium smegmatis. Whole-genome sequencing revealed no significant increase in mutation rates after prolonged exposure to first-line antibiotics. However, the phenotypic fluctuation assay indicated rapid adaptation to antibiotics mediated by non-genetic factors. The upregulation of DNA repair genes, measured using qPCR, suggests that genomic integrity may be maintained through the activation of specific DNA repair pathways. Our results, indicating that antibiotic exposure does not result in de novo adaptive mutagenesis under laboratory conditions, do not lend support to the model suggesting antibiotic resistance development through drug pressure-induced microevolution.
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Affiliation(s)
- Dániel Molnár
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
- Doctoral School of Biology and Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Éva Viola Surányi
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
| | - Tamás Trombitás
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
| | - Dóra Füzesi
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
- Doctoral School of Biology and Institute of Biology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Rita Hirmondó
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
| | - Judit Toth
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
- Department of Applied Biotechnology and Food Science, Budapest University of Technology and Economics, Budapest, Hungary
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Micheni LN, Kassaza K, Kinyi H, Ntulume I, Bazira J. Detection of Mycobacterium tuberculosis multiple strains in sputum samples from patients with pulmonary tuberculosis in south western Uganda using MIRU-VNTR. Sci Rep 2022; 12:1656. [PMID: 35102181 PMCID: PMC8803872 DOI: 10.1038/s41598-022-05591-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 01/11/2022] [Indexed: 11/25/2022] Open
Abstract
Infections with multiple strains of Mycobacterium tuberculosis are now widely recognized as a common occurrence. Identification of patients infected with multiple strains provides both insight into the disease dynamics and the epidemiology of tuberculosis. Analysis of Mycobacterial Interspersed Repetitive Unit-Variable-Number Tandem Repeats (MIRU-VNTR) has been shown to be highly sensitive in detecting multiple M. tuberculosis strains even in sputum. The goal of this study was to identify cases of multiple M. tuberculosis strain infections among patients diagnosed with pulmonary tuberculosis in Southwestern Uganda and assessment of factors associated with multiple strain infections. DNA extracted directly from 78 sputum samples, each from an individual patient, was analyzed using the standard 24 loci MIRU-VNTR typing. Five (6.4%) of the 78 patients were infected with multiple strains of M. tuberculosis with all of them being the newly diagnosed cases while two-thirds of them were co-infected with HIV. Exact regression analysis projected that the natives were more likely to harbor multiple strains (OR; 0.981, 95% CI 0–7.926) as well as those with a high microbial load (OR; 0.390, 95% CI 0–3.8167). Despite these findings being not statistically significant due to the small sample size, this points to a critical component of disease dynamics that has clinical implications and emphasizes a need for a study using a larger cohort. It is also essential to study the potential factors associated with higher risk of exposure to newly diagnosed and HIV positive patients at the community level. In addition, our ability to detect multiple M. tuberculosis strains using the standard 24 loci MIRU-VNTR typing especially with allelic diversity in loci 2059 and 3171, which are excluded from the 15-locus MIRU-VNTR, lead us to recommend the use of this genotyping technique, especially in areas with tuberculosis endemicity similar to this study.
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Affiliation(s)
- Lisa Nkatha Micheni
- Department of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda. .,Department of Microbiology and Immunology, Kampala International University Western Campus, Box 71, Bushenyi, Uganda.
| | - Kennedy Kassaza
- Department of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda
| | - Hellen Kinyi
- Department of Biochemistry, School of Medicine, Kabale University, Box 317, Kabale, Uganda
| | - Ibrahim Ntulume
- Department of Microbiology and Immunology, Kampala International University Western Campus, Box 71, Bushenyi, Uganda
| | - Joel Bazira
- Department of Microbiology, Mbarara University of Science and Technology, Box 1410, Mbarara, Uganda.
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Abstract
Heteroresistance is defined as the coexistence of both susceptible and resistant bacteria in a bacterial population. Previously published data show that it may occur in 9 to 57% of Mycobacterium tuberculosis isolates for various drugs. Pyrazinamide (PZA) is an important first-line drug used for treatment of both drug-susceptible and PZA-susceptible multidrug-resistant TB. Clinical PZA resistance is defined as a proportion of resistant bacteria in the isolate exceeding 10%, when the drug is no longer considered clinically effective. The ability of traditional drug susceptibility testing techniques to detect PZA heteroresistance has not yet been evaluated. The aim of this study was to compare the capacity of Bactec MGIT 960, Wayne's test, and whole-genome sequencing (WGS) to detect PZA-resistant subpopulations in bacterial suspensions prepared with different proportions of mutant strains. Both Bactec MGIT 960 and WGS were able to detect the critical level of 10% PZA heteroresistance, whereas Wayne's test failed to do so, with the latter falsely reporting highly resistant samples as PZA susceptible. Failure to detect drug-resistant subpopulations may lead to inadvertently weak treatment regimens if ineffective drugs are included, with the risk of treatment failure with the selective growth of resistant subpopulations. We need clinical awareness of heteroresistance as well as evaluation of new diagnostic tools for their capacity to detect heteroresistance in TB.
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Fernandez Do Porto DA, Monteserin J, Campos J, Sosa EJ, Matteo M, Serral F, Yokobori N, Benevento AF, Poklepovich T, Pardo A, Wainmayer I, Simboli N, Castello F, Paul R, Martí M, López B, Turjanski A, Ritacco V. Five-year microevolution of a multidrug-resistant Mycobacterium tuberculosis strain within a patient with inadequate compliance to treatment. BMC Infect Dis 2021; 21:394. [PMID: 33926375 PMCID: PMC8082761 DOI: 10.1186/s12879-021-06069-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 04/14/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Whole-genome sequencing has shown that the Mycobacterium tuberculosis infection process can be more heterogeneous than previously thought. Compartmentalized infections, exogenous reinfections, and microevolution are manifestations of this clonal complexity. The analysis of the mechanisms causing the microevolution -the genetic variability of M. tuberculosis at short time scales- of a parental strain into clonal variants with a patient is a relevant issue that has not been yet completely addressed. To our knowledge, a whole genome sequence microevolution analysis in a single patient with inadequate adherence to treatment has not been previously reported. CASE PRESENTATION In this work, we applied whole genome sequencing analysis for a more in-depth analysis of the microevolution of a parental Mycobacterium tuberculosis strain into clonal variants within a patient with poor treatment compliance in Argentina. We analyzed the whole-genome sequence of 8 consecutive Mycobacterium tuberculosis isolates obtained from a patient within 57-months of intermittent therapy. Nineteen mutations (9 short-term, 10 fixed variants) emerged, most of them associated with drug resistance. The first isolate was already resistant to isoniazid, rifampicin, and streptomycin, thereafter the strain developed resistance to fluoroquinolones and pyrazinamide. Surprisingly, isolates remained susceptible to the pro-drug ethionamide after acquiring a frameshift mutation in ethA, a gene required for its activation. We also found a novel variant, (T-54G), in the 5' untranslated region of whiB7 (T-54G), a region allegedly related to kanamycin resistance. Notably, discrepancies between canonical and phage-based susceptibility testing to kanamycin were previously found for the isolate harboring this mutation. In our patient, microevolution was mainly driven by drug selective pressure. Rare short-term mutations fixed together with resistance-conferring mutations during therapy. CONCLUSIONS This report highlights the relevance of whole-genome sequencing analysis in the clinic for characterization of pre-XDR and MDR resistance profile, particularly in patients with incomplete and/or intermittent treatment.
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Affiliation(s)
- Darío A Fernandez Do Porto
- Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Johana Monteserin
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Josefina Campos
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Ezequiel J Sosa
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Mario Matteo
- Instituto de Tisioneumonología Raúl F. Vaccarezza, Hospital de Infecciosas Dr. F. J. Muñiz, Buenos Aires, Argentina
| | - Federico Serral
- Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Noemí Yokobori
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Andrés Fernández Benevento
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Tomás Poklepovich
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Agustín Pardo
- Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Ingrid Wainmayer
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Norberto Simboli
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Florencia Castello
- Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Roxana Paul
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Marcelo Martí
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, IQUIBICEN, CONICET, Buenos Aires, Argentina
| | - Beatriz López
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina
| | - Adrián Turjanski
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
- Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales, IQUIBICEN, CONICET, Buenos Aires, Argentina.
| | - Viviana Ritacco
- Instituto Nacional de Enfermedades Infecciosas-ANLIS Carlos Malbrán, Buenos Aires, Argentina.
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
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Asare-Baah M, Séraphin MN, Salmon LAT, Lauzardo M. Effect of mixed strain infections on clinical and epidemiological features of tuberculosis in Florida. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2021; 87:104659. [PMID: 33276149 PMCID: PMC7855629 DOI: 10.1016/j.meegid.2020.104659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 11/18/2020] [Accepted: 11/29/2020] [Indexed: 10/22/2022]
Abstract
Mixed infections with genetically distinct Mycobacterium tuberculosis (MTB) strains within a single host have been documented in different settings; however, this phenomenon is rarely considered in the management and care of new and relapse tuberculosis (T.B.) cases. This study aims to establish the epidemiological and clinical features of mixed infections among culture-confirmed T.B. patients enrolled in tuberculosis care at the Florida Department of Health (FDOH) and measure its association with T.B. mortality. We analyzed de-identified surveillance data of T.B. cases enrolled in T.B. care from April 2008 to January 2018. Mixed MTB infection was determined by the presence of more than one Copy Number Variant (CNV) in at least one locus, based on the genotype profile pattern of at least one isolate using 24-locus Mycobacterial Interspersed Repetitive Unit-Variable Number Tandem Repeat (MIRU-VNTR). The prevalence of mixed MTB infections among the 4944 culture-confirmed TB cases included in this analysis was 2.6% (129). Increased odds of mixed infections were observed among middle-aged patients, 45-64 years (AOR = 2.38; 95% CI: 0.99, 5.69; p = 0.0513), older adults 65 years and above (AOR = 3.95; 95% CI: 1.63, 9.58; p = 0.0023) and patients with diabetes (OR = 1.77; 95% CI: 1.12, 2.80; p = 0.0150). There was no significant association between mixed infections and death. Our study provides insight into the epidemiological and clinical characteristics of patients with mixed MTB infections, which is essential in the management of T.B. patients.
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Affiliation(s)
- Michael Asare-Baah
- Department of Epidemiology, University of Florida, College of Public Health and Health Professions, College of Medicine, 2004 Mowry Road, P.O. Box 100231, Gainesville, FL 32610, United States; Emerging Pathogens Institute, University of Florida, 2055 Mowry Road, P.O. Box 100009, Gainesville, FL 32610, United States.
| | - Marie Nancy Séraphin
- Emerging Pathogens Institute, University of Florida, 2055 Mowry Road, P.O. Box 100009, Gainesville, FL 32610, United States; Division of Infectious Diseases and Global Medicine, University of Florida, College of Medicine, 2055 Mowry Road, P.O. Box 103600, Gainesville, FL 32610, United States
| | - LaTweika A T Salmon
- Florida Department of Health, Bureau of Tuberculosis Control, 4052 Bald Cypress Way, Bin A-20, Tallahassee, FL 32399, United States
| | - Michael Lauzardo
- Emerging Pathogens Institute, University of Florida, 2055 Mowry Road, P.O. Box 100009, Gainesville, FL 32610, United States; Division of Infectious Diseases and Global Medicine, University of Florida, College of Medicine, 2055 Mowry Road, P.O. Box 103600, Gainesville, FL 32610, United States
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Byrne AS, Goudreau A, Bissonnette N, Shamputa IC, Tahlan K. Methods for Detecting Mycobacterial Mixed Strain Infections-A Systematic Review. Front Genet 2020; 11:600692. [PMID: 33408740 PMCID: PMC7779811 DOI: 10.3389/fgene.2020.600692] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [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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Tsenova L, Fallows D, Kolloli A, Singh P, O'Brien P, Kushner N, Kaplan G, Subbian S. Inoculum size and traits of the infecting clinical strain define the protection level against Mycobacterium tuberculosis infection in a rabbit model. Eur J Immunol 2020; 50:858-872. [PMID: 32130727 DOI: 10.1002/eji.201948448] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 12/27/2019] [Accepted: 03/03/2020] [Indexed: 12/28/2022]
Abstract
Host protective immunity against pathogenic Mycobacterium tuberculosis (Mtb) infection is variable and poorly understood. Both prior Mtb infection and BCG vaccination have been reported to confer some protection against subsequent infection and/or disease. However, the immune correlates of host protection with or without BCG vaccination remain poorly understood. Similarly, the host response to concomitant infection with mixed Mtb strains is unclear. In this study, we used the rabbit model to examine the host response to various infectious doses of virulent Mtb HN878 with and without prior BCG vaccination, as well as simultaneous infection with a mixture of two Mtb clinical isolates HN878 and CDC1551. We demonstrate that both the ability of host immunity to control pulmonary Mtb infection and the protective efficacy of BCG vaccination against the progression of Mtb infection to disease is dependent on the infectious inoculum. The host response to infection with mixed Mtb strains mirrors the differential responses seen during infection with each of the strains alone. The protective response mounted against a hyperimmunogenic Mtb strain has a limited impact on the control of disease caused by a hypervirulent strain. This preclinical study will aid in predicting the success of any vaccination strategy and in optimizing TB vaccines.
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Affiliation(s)
- Liana Tsenova
- The Public Health Research Institute (PHRI) of New Jersey Medical School, Rutgers University, Newark, NJ, USA.,Department of Biological Sciences, NYC College of Technology, Brooklyn, NY, USA
| | - Dorothy Fallows
- The Public Health Research Institute (PHRI) of New Jersey Medical School, Rutgers University, Newark, NJ, USA.,Celgene Corporation, Summit, NJ, USA
| | - Afsal Kolloli
- The Public Health Research Institute (PHRI) of New Jersey Medical School, Rutgers University, Newark, NJ, USA
| | - Pooja Singh
- The Public Health Research Institute (PHRI) of New Jersey Medical School, Rutgers University, Newark, NJ, USA
| | - Paul O'Brien
- The Public Health Research Institute (PHRI) of New Jersey Medical School, Rutgers University, Newark, NJ, USA.,Division of Cancer Biology, Department of Radiation Oncology, Rutgers University, Newark, NJ, USA
| | - Nicole Kushner
- The Public Health Research Institute (PHRI) of New Jersey Medical School, Rutgers University, Newark, NJ, USA.,Department of Microbiology and Immunology, Cornell University, Ithaca, NY, USA
| | - Gilla Kaplan
- The Public Health Research Institute (PHRI) of New Jersey Medical School, Rutgers University, Newark, NJ, USA.,Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Selvakumar Subbian
- The Public Health Research Institute (PHRI) of New Jersey Medical School, Rutgers University, Newark, NJ, USA
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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: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [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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11
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Egbe NF, Muwonge A, Ndip L, Kelly RF, Sander M, Tanya V, Ngwa VN, Handel IG, Novak A, Ngandalo R, Mazeri S, Morgan KL, Asuquo A, de C Bronsvoort BM. Molecular epidemiology of Mycobacterium bovis in Cameroon. Sci Rep 2017; 7:4652. [PMID: 28680043 PMCID: PMC5498612 DOI: 10.1038/s41598-017-04230-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 05/11/2017] [Indexed: 11/28/2022] Open
Abstract
We describe the largest molecular epidemiological study of Bovine Tuberculosis (bTB) in a sub-Saharan African country with higher spatial resolution providing new insights into bTB. Four hundred and ninety-nine samples were collected for culture from 201 and 179 cattle with and without bTB-like lesions respectively out of 2,346 cattle slaughtered at Bamenda, Ngaoundere, Garoua and Maroua abattoirs between 2012–2013. Two hundred and fifty-five M. bovis were isolated, identified and genotyped using deletion analysis, Hain® Genotype MTBC, spoligotyping and MIRU-VNTR. African 1 was the dominant M. bovis clonal complex, with 97 unique genotypes including 19 novel spoligotypes representing the highest M. bovis genetic diversity observed in Africa to date. SB0944 and SB0953 dominated (63%) the observed spoligotypes. A third of animals with multiple lesions had multiple strain infections. Higher diversity but little evidence of recent transmission of M. bovis was more common in Adamawa compared to the North-West Region. The Adamawa was characterised by a high frequency of singletons possibly due to constant additions from an active livestock movement network compared to the North-West Region where a local expansion was more evident. The latter combined with population-based inferences suggest an unstable and stable bTB-endemic status in the North-West and Adamawa Regions respectively.
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Affiliation(s)
- N F Egbe
- Division of Genetics and Genomics, The Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK.,Microbiology and Parasitology Unit, Faculty of Allied Medical Sciences, University of Calabar, Calabar, Nigeria
| | - A Muwonge
- Division of Genetics and Genomics, The Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK.
| | - L Ndip
- Laboratory for Emerging Infectious Diseases, University of Buea, Buea, Cameroon.,Department of Biomedical Sciences, Faculty of Health Sciences, University of Buea, Buea, Cameroon
| | - R F Kelly
- Division of Genetics and Genomics, The Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK.,Farm Animal Clinical Sciences, School of Veterinary Medicine, University of Glasgow, Glasgow, G61 1QH, UK
| | - M Sander
- Tuberculosis Reference Laboratory, Bamenda, P.O. Box 586, Cameroon
| | - V Tanya
- Cameroon Academy of Sciences, P.O. Box 1457, Yaoundé, Cameroon
| | - V Ngu Ngwa
- School of Veterinary Medicine and Sciences, University of Ngaoundere, B.P. 454, Ngaoundere, Cameroon
| | - I G Handel
- Division of Genetics and Genomics, The Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK
| | - A Novak
- Division of Genetics and Genomics, The Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK
| | - R Ngandalo
- Laboratoire de Recherches Vétérinaires et Zootechniques de Farcha, N'Djaména, Chad
| | - S Mazeri
- Division of Genetics and Genomics, The Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK
| | - K L Morgan
- Institute of Ageing and Chronic Disease, University of Liverpool, Leahurst Campus, Neston, Wirral, CH64 7TE, UK
| | - A Asuquo
- Microbiology and Parasitology Unit, Faculty of Allied Medical Sciences, University of Calabar, Calabar, Nigeria
| | - B M de C Bronsvoort
- Division of Genetics and Genomics, The Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK.,Centre for Tropical Livestock Genetics and Health, The Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK
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12
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McIvor A, Koornhof H, Kana BD. Relapse, re-infection and mixed infections in tuberculosis disease. Pathog Dis 2017; 75:3003284. [PMID: 28334088 DOI: 10.1093/femspd/ftx020] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Accepted: 02/16/2017] [Indexed: 01/19/2023] Open
Abstract
Tuberculosis (TB) disease can be characterized by genotypic and phenotypic complexity in Mycobacterium tuberculosis bacilli within a single patient. This microbiological heterogeneity has become an area of intense study due its perceived importance in drug tolerance, drug resistance and as a surrogate measure of transmission rates. This review presents a descriptive analysis of research describing the prevalence of mixed-strain TB infections in geographically distinct locations. Despite significant variation in disease burden and a rampant human immunodeficiency virus (HIV)-TB co-epidemic, there was no difference in the prevalence range of mixed infections reported in African countries when compared to the rest of the world. The occurrence of recurrent TB was associated with a higher prevalence of mixed-strain infections, but this difference was not reported as statistically significant. These interpretations were limited by differences in the design and overall size of the studies assessed. Factors such as sputum quality, culture media, number of repeated culture steps, molecular typing methods and HIV-infection status can affect the detection of mixed-strain infection. It is recommended that future clinical studies should focus on settings with varying TB burdens, with a common sample processing protocol to gain further insight into these phenomena and develop novel transmission blocking strategies.
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Affiliation(s)
- Amanda McIvor
- DST/NRF Centre of Excellence for Biomedical TB Research, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and the National Health Laboratory Service, Johannesburg 2000, South Africa
| | - Hendrik Koornhof
- Centre for Tuberculosis, National Institute for Communicable Diseases and National Health Laboratory Service, Johannesburg, 2000, South Africa
| | - Bavesh Davandra Kana
- DST/NRF Centre of Excellence for Biomedical TB Research, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand and the National Health Laboratory Service, Johannesburg 2000, South Africa.,CAPRISA, Centre for the AIDS Programme of Research in South Africa, Durban, 4001, South Africa
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13
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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: 0.5] [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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14
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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: 2.8] [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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15
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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: 0.9] [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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16
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Mycobacterium avium subsp. hominissuis infection in swine associated with peat used for bedding. BIOMED RESEARCH INTERNATIONAL 2014; 2014:189649. [PMID: 25431762 PMCID: PMC4241287 DOI: 10.1155/2014/189649] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2014] [Accepted: 07/22/2014] [Indexed: 12/03/2022]
Abstract
Mycobacterium avium subsp. hominissuis is an environmental bacterium causing opportunistic infections in swine, resulting in economic losses. Additionally, the zoonotic aspect of such infections is of concern. In the southeastern region of Norway in 2009 and 2010, an increase in condemnation of pig carcasses with tuberculous lesions was seen at the meat inspection. The use of peat as bedding in the herds was suspected to be a common factor, and a project examining pigs and environmental samples from the herds was initiated. Lesions detected at meat inspection in pigs originating from 15 herds were sampled. Environmental samples including peat from six of the herds and from three peat production facilities were additionally collected. Samples were analysed by culture and isolates genotyped by MLVA analysis. Mycobacterium avium subsp. hominissuis was detected in 35 out of 46 pigs, in 16 out of 20 samples of peat, and in one sample of sawdust. MLVA analysis demonstrated identical isolates from peat and pigs within the same farms. Polyclonal infection was demonstrated by analysis of multiple isolates from the same pig. To conclude, the increase in condemnation of porcine carcasses at slaughter due to mycobacteriosis seemed to be related to untreated peat used as bedding.
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17
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Shin SS, Modongo C, Ncube R, Sepako E, Klausner JD, Zetola NM. Advanced immune suppression is associated with increased prevalence of mixed-strain Mycobacterium tuberculosis infections among persons at high risk for drug-resistant tuberculosis in Botswana. J Infect Dis 2014; 211:347-51. [PMID: 25070941 DOI: 10.1093/infdis/jiu421] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
We examined factors associated with mixed-strain Mycobacterium tuberculosis infections among patients at high risk for drug-resistant tuberculosis in Botswana. Thirty-seven (10.0%) of 370 patients with tuberculosis had mixed M. tuberculosis infections, based on 24-locus mycobacterial interspersed repetitive unit-variable number of tandem repeats genotyping. In log-binomial regression analysis, age <37 years (adjusted prevalence ratio [PR], 1.92; 95% confidence interval [CI], 1.01-3.57) and prior tuberculosis treatment (adjusted PR, 2.31; 95% CI, 1.09-4.89) were associated with mixed M. tuberculosis infections. Among human immunodeficiency virus-infected patients, prior tuberculosis treatment (adjusted PR, 2.11; 95% CI, 1.04-4.31) and CD4(+) T-cell count of <100 cells/μl (adjusted PR, 10.18; 95% CI, 2.48-41.71) were associated with mixed M. tuberculosis infections. Clinical suspicion of mixed M. tuberculosis infections should be high for patients with advanced immunosuppression and a prior history of tuberculosis treatment.
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Affiliation(s)
- Sanghyuk S Shin
- Division of Infectious Diseases, University of California-Los Angeles
| | | | - Ronald Ncube
- Botswana National Tuberculosis Program, Botswana Ministry of Health
| | | | | | - Nicola M Zetola
- Botswana-Upenn Partnership Division of Infectious Diseases, University of Pennsylvania, Philadelphia
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18
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Muwonge A, Malama S, Bronsvoort BMDC, Biffa D, Ssengooba W, Skjerve E. A comparison of tools used for tuberculosis diagnosis in resource-limited settings: a case study at Mubende referral hospital, Uganda. PLoS One 2014; 9:e100720. [PMID: 24967713 PMCID: PMC4072677 DOI: 10.1371/journal.pone.0100720] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2014] [Accepted: 05/23/2014] [Indexed: 11/29/2022] Open
Abstract
Background This study compared TB diagnostic tools and estimated levels of misdiagnosis in a resource-limited setting. Furthermore, we estimated the diagnostic utility of three-TB-associated predictors in an algorithm with and without Direct Ziehl-Neelsen (DZM). Materials and Methods Data was obtained from a cross-sectional study in 2011 conducted at Mubende regional referral hospital in Uganda. An individual was included if they presented with a two weeks persistent cough and or lymphadenitis/abscess. 344 samples were analyzed on DZM in Mubende and compared to duplicates analyzed on direct fluorescent microscopy (DFM), growth on solid and liquid media at Makerere University. Clinical variables from a questionnaire and DZM were used to predict TB status in multivariable logistic and Cox proportional hazard models, while optimization and visualization was done with receiver operating characteristics curve and algorithm-charts in Stata, R and Lucid-Charts respectively. Results DZM had a sensitivity and specificity of 36.4% (95% CI = 24.9–49.1) and 97.1%(95% CI = 94.4–98.7) compared to DFM which had a sensitivity and specificity of 80.3%(95% CI = 68.7–89.1) and 97.1%(95% CI = 94.4–98.7) respectively. DZM false negative results were associated with patient’s HIV status, tobacco smoking and extra-pulmonary tuberculosis. One of the false negative cases was infected with multi drug resistant TB (MDR). The three-predictor screening algorithm with and without DZM classified 50% and 33% of the true cases respectively, while the adjusted algorithm with DZM classified 78% of the true cases. Conclusion The study supports the concern that using DZM alone risks missing majority of TB cases, in this case we found nearly 60%, of who one was an MDR case. Although adopting DFM would reduce this proportion to 19%, the use of a three-predictor screening algorithm together with DZM was almost as good as DFM alone. It’s utility is whoever subject to HIV screening all TB suspects.
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Affiliation(s)
- Adrian Muwonge
- Department of Food Safety and Infection Biology, Centre for Epidemiology and Biostatistics, Norwegian University of Life Sciences, Oslo, Norway
- The Roslin Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Easter Bush, Midlothian, Edinburgh, United Kingdom
- * E-mail:
| | - Sydney Malama
- Institute of Economic and Social Research University of Zambia, Lusaka, Zambia
| | - Barend M. de C. Bronsvoort
- The Roslin Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Easter Bush, Midlothian, Edinburgh, United Kingdom
| | - Demelash Biffa
- College of Medicine, University of Arizona, Tucson, Arizona, United States of America
| | - Willy Ssengooba
- Mycobacteriology Laboratory, Department of Medical Microbiology, Makerere University College of Health Sciences, Kampala, Uganda
| | - Eystein Skjerve
- Department of Food Safety and Infection Biology, Centre for Epidemiology and Biostatistics, Norwegian University of Life Sciences, Oslo, Norway
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19
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Gerritsmann H, Stalder G, Spergser J, Hoelzl F, Deutz A, Kuebber-Heiss A, Walzer C, Smith S. Multiple strain infections and high genotypic diversity among Mycobacterium avium subsp. paratuberculosis field isolates from diseased wild and domestic ruminant species in the eastern Alpine region of Austria. INFECTION GENETICS AND EVOLUTION 2014; 21:244-51. [DOI: 10.1016/j.meegid.2013.11.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2013] [Revised: 10/23/2013] [Accepted: 11/01/2013] [Indexed: 12/20/2022]
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20
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Muwonge A, Malama S, Johansen TB, Kankya C, Biffa D, Ssengooba W, Godfroid J, Djønne B, Skjerve E. Molecular epidemiology, drug susceptibility and economic aspects of tuberculosis in Mubende district, Uganda. PLoS One 2013; 8:e64745. [PMID: 23741382 PMCID: PMC3669366 DOI: 10.1371/journal.pone.0064745] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2013] [Accepted: 04/17/2013] [Indexed: 11/19/2022] Open
Abstract
Background Tuberculosis (TB) remains a global public health problem whose effects have major impact in developing countries like Uganda. This study aimed at investigating genotypic characteristics and drug resistance profiles of Mycobacterium tuberculosis isolated from suspected TB patients. Furthermore, risk factors and economic burdens that could affect the current control strategies were studied. Methods TB suspected patients were examined in a cross-sectional study at the Mubende regional referral hospital between February and July 2011. A questionnaire was administered to each patient to obtain information associated with TB prevalence. Isolates of M. tuberculosis recovered during sampling were examined for drug resistance to first line anti-TB drugs using the BACTEC-MGIT960TMsystem. All isolates were further characterized using deletion analysis, spoligotyping and MIRU-VNTR analysis. Data were analyzed using different software; MIRU-VNTR plus, SITVITWEB, BioNumerics and multivariable regression models. Results M. tuberculosis was isolated from 74 out of 344 patients, 48 of these were co-infected with HIV. Results from the questionnaire showed that previously treated TB, co-infection with HIV, cigarette smoking, and overcrowding were risk factors associated with TB, while high medical related transport bills were identified as an economic burden. Out of the 67 isolates that gave interpretable results, 23 different spoligopatterns were detected, nine of which were novel patterns. T2 with the sub types Uganda-I and Uganda-II was the most predominant lineage detected. Antibiotic resistance was detected in 19% and multidrug resistance was detected in 3% of the isolates. Conclusion The study detected M. tuberculosis from 21% of examined TB patients, 62% of whom were also HIV positive. There is a heterogeneous pool of genotypes that circulate in this area, with the T2 lineage being the most predominant. High medical related transport bills and drug resistance could undermine the usefulness of the current TB strategic interventions.
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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, Oslo, Norway.
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