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Vyklyuk Y, Semianiv I, Nevinskyi D, Todoriko L, Boyko N. Applying geospatial multi-agent system to model various aspects of tuberculosis transmission. New Microbes New Infect 2024; 59:101417. [PMID: 38737327 PMCID: PMC11088189 DOI: 10.1016/j.nmni.2024.101417] [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: 01/13/2024] [Revised: 04/05/2024] [Accepted: 04/25/2024] [Indexed: 05/14/2024] Open
Abstract
Introduction The paper presents epidemiological process modeling, with a focus on tuberculosis utilizing multi-agent system. Material and methods This study involves the development of an algorithm that harnesses the potential of artificial intelligence to create a geospatial model that highlights the different pathways of TB transmission. The modeling process itself is characterized by a series of key stages, including initialization of the city, calibration of health parameters, simulation of the working day, propagation of the spread of infection, the evolution of disease trajectories, rigorous statistical calculations and transition to the following day. A comprehensive description of the course of active tuberculosis is presented, following the official hypothesis recommended by the World Health Organization. A comprehensive simulation, illustrating the propagation of tuberculosis in an entirely healthy environment devoid of any preventive or therapeutic measures, is presented. To ascertain the adequacy of the model and its sensitivity to the principal parameters governing the course of tuberculosis, a series of experiments were meticulously conducted, employing three distinct approximations, namely: the basic model, the model incorporating mortality factors, and the comprehensive model, encompassing all relevant aspects. Conclusions The model's results exhibit stability and lack of significant fluctuations. The statistical values obtained for infected, latent, and recovered individuals align well with known medical data, confirming the model's adequacy.
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Affiliation(s)
- Yaroslav Vyklyuk
- Lviv Polytechnic National University, The Department of Artificial Intelligence, Lviv, Ukraine
| | - Ihor Semianiv
- Bukovinian State Medical University, The Department of Pathobiology and Pulmonology, Chernivtsi, Ukraine
| | - Denys Nevinskyi
- Lviv Polytechnic National University, The Department of Electronics and Information Technology, Lviv, Ukraine
| | - Lilia Todoriko
- Bukovinian State Medical University, The Department of Pathobiology and Pulmonology, Chernivtsi, Ukraine
| | - Nataliya Boyko
- Lviv Polytechnic National University, The Department of Artificial Intelligence, Lviv, Ukraine
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Sadovska D, Ozere I, Pole I, Ķimsis J, Vaivode A, Vīksna A, Norvaiša I, Bogdanova I, Ulanova V, Čapligina V, Bandere D, Ranka R. Unraveling tuberculosis patient cluster transmission chains: integrating WGS-based network with clinical and epidemiological insights. Front Public Health 2024; 12:1378426. [PMID: 38832230 PMCID: PMC11144917 DOI: 10.3389/fpubh.2024.1378426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 05/07/2024] [Indexed: 06/05/2024] Open
Abstract
Background Tuberculosis remains a global health threat, and the World Health Organization reports a limited reduction in disease incidence rates, including both new and relapse cases. Therefore, studies targeting tuberculosis transmission chains and recurrent episodes are crucial for developing the most effective control measures. Herein, multiple tuberculosis clusters were retrospectively investigated by integrating patients' epidemiological and clinical information with median-joining networks recreated based on whole genome sequencing (WGS) data of Mycobacterium tuberculosis isolates. Methods Epidemiologically linked tuberculosis patient clusters were identified during the source case investigation for pediatric tuberculosis patients. Only M. tuberculosis isolate DNA samples with previously determined spoligotypes identical within clusters were subjected to WGS and further median-joining network recreation. Relevant clinical and epidemiological data were obtained from patient medical records. Results We investigated 18 clusters comprising 100 active tuberculosis patients 29 of whom were children at the time of diagnosis; nine patients experienced recurrent episodes. M. tuberculosis isolates of studied clusters belonged to Lineages 2 (sub-lineage 2.2.1) and 4 (sub-lineages 4.3.3, 4.1.2.1, 4.8, and 4.2.1), while sub-lineage 4.3.3 (LAM) was the most abundant. Isolates of six clusters were drug-resistant. Within clusters, the maximum genetic distance between closely related isolates was only 5-11 single nucleotide variants (SNVs). Recreated median-joining networks, integrated with patients' diagnoses, specimen collection dates, sputum smear microscopy, and epidemiological investigation results indicated transmission directions within clusters and long periods of latent infection. It also facilitated the identification of potential infection sources for pediatric patients and recurrent active tuberculosis episodes refuting the reactivation possibility despite the small genetic distance of ≤5 SNVs between isolates. However, unidentified active tuberculosis cases within the cluster, the variable mycobacterial mutation rate in dormant and active states, and low M. tuberculosis genetic variability inferred precise transmission chain delineation. In some cases, heterozygous SNVs with an allelic frequency of 10-73% proved valuable in identifying direct transmission events. Conclusion The complex approach of integrating tuberculosis cluster WGS-data-based median-joining networks with relevant epidemiological and clinical data proved valuable in delineating epidemiologically linked patient transmission chains and deciphering causes of recurrent tuberculosis episodes within clusters.
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Affiliation(s)
- Darja Sadovska
- Laboratory of Molecular Microbiology, Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Iveta Ozere
- Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Upeslejas, Latvia
- Department of Infectology, Riga Stradiņš University, Riga, Latvia
| | - Ilva Pole
- Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Upeslejas, Latvia
| | - Jānis Ķimsis
- Laboratory of Molecular Microbiology, Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Annija Vaivode
- Laboratory of Molecular Microbiology, Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Anda Vīksna
- Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Upeslejas, Latvia
- Department of Infectology, Riga Stradiņš University, Riga, Latvia
| | - Inga Norvaiša
- Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Upeslejas, Latvia
| | - Ineta Bogdanova
- Centre of Tuberculosis and Lung Diseases, Riga East University Hospital, Upeslejas, Latvia
| | - Viktorija Ulanova
- Laboratory of Molecular Microbiology, Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Valentīna Čapligina
- Laboratory of Molecular Microbiology, Latvian Biomedical Research and Study Centre, Riga, Latvia
| | - Dace Bandere
- Department of Pharmaceutical Chemistry, Riga Stradiņš University, Riga, Latvia
| | - Renāte Ranka
- Laboratory of Molecular Microbiology, Latvian Biomedical Research and Study Centre, Riga, Latvia
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Nosik M, Ryzhov K, Kudryavtseva AV, Kuimova U, Kravtchenko A, Sobkin A, Zverev V, Svitich O. Decreased IL-1 β Secretion as a Potential Predictor of Tuberculosis Recurrence in Individuals Diagnosed with HIV. Biomedicines 2024; 12:954. [PMID: 38790916 PMCID: PMC11117744 DOI: 10.3390/biomedicines12050954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 04/14/2024] [Accepted: 04/22/2024] [Indexed: 05/26/2024] Open
Abstract
Background: The mechanisms of the formation of immunological competence against tuberculosis (TB), and especially those associated with HIV co-infection, remain poorly understood. However, there is an urgent need for risk recurrence predictive biomarkers, as well as for predictors of successful treatment outcomes. The goal of the study was to identify possible immunological markers of TB recurrence in individuals with HIV/TB co-infection. Methods: The plasma levels of IFN-γ, TNF-α, IL-10, and IL-1β (cytokines which play important roles in the immune activation and protection against Mycobacterium tuberculosis) were measured using ELISA EIA-BEST kits. The cytokine concentrations were determined using a standard curve obtained with the standards provided by the manufacturer of each kit. Results: A total of 211 individuals were enrolled in the study as follows: 62 patients with HIV/TB co-infection, 52 with HIV monoinfection, 52 with TB monoinfection, and 45 healthy donors. Out of the 62 patients with HIV/TB, 75.8% (47) of patients were newly diagnosed with HIV and TB, and 24.2% (15) displayed recurrent TB and were newly diagnosed with HIV. Decreased levels of IFN-γ, TNF-α, and IL-10 were observed in patients with HIV/TB when compared with HIV and TB patients. However, there was no difference in IFN-γ, TNF-α, or IL-10 secretion between both HIV/TB groups. At the same time, an almost 4-fold decrease in Il-1β levels was detected in the HIV/TB group with TB recurrence when compared with the HIV/TB group (p = 0.0001); a 2.8-fold decrease when compared with HIV patients (p = 0.001); and a 2.2-fold decrease with newly diagnosed TB patients (p = 0.001). Conclusions: Significantly decreased Il-1β levels in HIV/TB patients' cohort with secondary TB indicate that this cytokine can be a potential biomarker of TB recurrence.
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Affiliation(s)
- Marina Nosik
- I.I. Mechnikov Institute of Vaccines and Sera, 105064 Moscow, Russia; (K.R.); (V.Z.); (O.S.)
| | - Konstantin Ryzhov
- I.I. Mechnikov Institute of Vaccines and Sera, 105064 Moscow, Russia; (K.R.); (V.Z.); (O.S.)
| | - Asya V. Kudryavtseva
- La Facultad de Ciencias Médicas, Universidad Bernardo O’Higgings-Escuela de Medicina, Santiago 8370993, Chile;
| | - Ulyana Kuimova
- Central Research Institute of Epidemiology, Rospotrebnadzor, 111123 Moscow, Russia; (U.K.); (A.K.)
| | - Alexey Kravtchenko
- Central Research Institute of Epidemiology, Rospotrebnadzor, 111123 Moscow, Russia; (U.K.); (A.K.)
| | - Alexandr Sobkin
- G.A. Zaharyan Moscow Tuberculosis Clinic, Department for Treatment of TB Patients with HIV, 125466 Moscow, Russia;
| | - Vitaly Zverev
- I.I. Mechnikov Institute of Vaccines and Sera, 105064 Moscow, Russia; (K.R.); (V.Z.); (O.S.)
| | - Oxana Svitich
- I.I. Mechnikov Institute of Vaccines and Sera, 105064 Moscow, Russia; (K.R.); (V.Z.); (O.S.)
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Ogwang MO, Diero L, Ng'ong'a F, Magoma G, Mutharia L, Imbuga M, Ngugi C. Strain structure analysis of Mycobacterium tuberculosis circulating among HIV negative, positive and drug resistant TB patients attending chest clinics in Western Kenya. BMC Pulm Med 2023; 23:497. [PMID: 38071287 PMCID: PMC10709907 DOI: 10.1186/s12890-023-02802-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Despite global tuberculosis (TB) interventions, the disease remains one of the major public health concerns. Kenya is ranked 15th among 22 high burden TB countries globally. METHODS A cross-sectional study was conducted in Western Kenya, which comprises 10 counties. A multistage sampling method was used where a single sub-county was randomly selected followed by sampling two high volume health facility from each sub-county. Identification of spoligotype profiles and their family distribution and lineage level were achieved by comparison with SITVIT database. RESULTS Lineage distribution pattern revealed that the most predominant lineage was CAS 220 (39.8%) followed by Beijing 128 (23.1%). The other lineages identified were T, LAM, H, X, S and MANU which were quantified as 87 (15.7%), 67 (12.1%), 16 (2.8%), 10 (1.8%), 8 (1.4%) and 5 (0.9%) respectively. CAS and Beijing strains were the most predominant lineage in both HIV negative and positive TB patients. The Beijing lineage was also the most predominant in resistant M. tuberculosis strains as compared to wild type. A total of 12 (2.0%) were orphaned M. tuberculosis strains which were spread across all the 10 counties of the study site. In multivariate logistic regression adjusting for potential cofounders three potential risk factors were significant. HIV status (OR = 1.52, CI = 0.29-3.68 and P value of 0.001), Alcohol use (OR = 0.59, CI = 0.43-3.12 and P-value =0.001) and cross border travel (OR = 0.61, CI = 0.49-3.87 and P value = 0.026). Most M. tuberculosis clinical isolates showed genetic clustering with multivariate logistic regression indicating three potential risk factors to clustering. HIV status (OR = 1.52, CI = 0.29-3.68 and P value of 0.001), Alcohol use (OR = 0.59, CI = 0.43-3.12 and P-value =0.001) and cross border travel (OR = 0.61, CI = 0.49-3.87 and P value = 0.026). CONCLUSION There exist diverse strains of M. tuberculosis across the 10 counties of Western Kenya. Predominant distribution of clustered genotype points to the fact that most TB cases in this region are as a result of resent transmission other than activation of latent TB.
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Affiliation(s)
- Martin O Ogwang
- School of Public Health Nairobi Kenya, Jomo Kenyatta University of Agriculture and Technology, Juja, Kenya.
| | - Lameck Diero
- School of Medicine, Moi University, Eldoret, Kenya
| | - Florence Ng'ong'a
- School of Biomedical Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Gabriel Magoma
- School of Biomedical Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Lucy Mutharia
- Department of Cellular and Molecular Biology, University of Guelph, Guelph, ON, Canada
| | - Mabel Imbuga
- School of Biomedical Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Caroline Ngugi
- School of Biomedical Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
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Fischinger S, Cizmeci D, Shin S, Davies L, Grace PS, Sivro A, Yende-Zuma N, Streeck H, Fortune SM, Lauffenburger DA, Naidoo K, Alter G. A Mycobacterium tuberculosis Specific IgG3 Signature of Recurrent Tuberculosis. Front Immunol 2021; 12:729186. [PMID: 34630406 PMCID: PMC8493041 DOI: 10.3389/fimmu.2021.729186] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 09/03/2021] [Indexed: 01/23/2023] Open
Abstract
South Africa has the highest prevalence of HIV and tuberculosis (TB) co-infection globally. Recurrent TB, caused by relapse or reinfection, makes up the majority of TB cases in South Africa, and HIV infected individuals have a greater likelihood of developing recurrent TB. Given that TB remains a leading cause of death for HIV infected individuals, and correlates of TB recurrence protection/risk have yet to be defined, here we sought to understand the antibody associated mechanisms of recurrent TB by investigating the humoral response in a longitudinal cohort of HIV co-infected individuals previously treated for TB with and without recurrent disease during follow-up, in order to identify antibody correlates of protection between individuals who do not have recurrent TB and individuals who do. We used a high-throughput, “systems serology” approach to profile biophysical and functional characteristics of antibodies targeting antigens from Mycobacterium tuberculosis (Mtb). Differences in antibody profiles were noted between individuals with and without recurrent TB, albeit these differences were largely observed close to the time of re-diagnosis. Individuals with recurrent TB had decreased Mtb-antigen specific IgG3 titers, but not other IgG subclasses or IgA, compared to control individuals. These data point to a potential role for Mtb-specific IgG3 responses as biomarkers or direct mediators of protective immunity against Mtb recurrence.
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Affiliation(s)
- Stephanie Fischinger
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, United States.,University of Duisburg-Essen, Essen, Germany
| | - Deniz Cizmeci
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, United States.,Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Sally Shin
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, United States
| | - Leela Davies
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, United States
| | - Patricia S Grace
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, United States
| | - Aida Sivro
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.,Department of Medical Microbiology, University of KwaZulu-Natal, Durban, South Africa
| | - Nonhlanhla Yende-Zuma
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.,Medical Research Council - Centre for the AIDS Programme of Research in South Africa (MRC-CAPRISA) HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | | | - Sarah M Fortune
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, United States.,Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Douglas A Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.,Medical Research Council - Centre for the AIDS Programme of Research in South Africa (MRC-CAPRISA) HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Galit Alter
- Ragon Institute of MGH, MIT and Harvard, Boston, MA, United States
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Qiu B, Tao B, Liu Q, Li Z, Song H, Tian D, Wu J, Wu Z, Zhan M, Lu W, Wang J. A Prospective Cohort Study on the Prevalent and Recurrent Tuberculosis Isolates Using the MIRU-VNTR Typing. Front Med (Lausanne) 2021; 8:685368. [PMID: 34595184 PMCID: PMC8476766 DOI: 10.3389/fmed.2021.685368] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 08/23/2021] [Indexed: 11/30/2022] Open
Abstract
The study aims to describe the clustering characteristics of Mycobacterium tuberculosis (M.tb) strains circulating in eastern China and determine the ratio of relapse and reinfection in recurrent patients. We recruited sputum smear-positive pulmonary tuberculosis cases from five cities of Jiangsu Province, China, during August 2013 and December 2015. Patients were followed for the treatment outcomes and recurrence based on a cohort design. M.tb strains were isolated and genotyped using the 12-locus MIRU-VNTR. The Beijing family was identified by the extended Region of Difference (RD) analysis. The Hunter-Gaston Discriminatory Index (HGDI) was used to judge the resolution ability of MIRU-VNTR. The odds ratio (OR) together with 95% confidence interval (CI) were used to estimate the strength of association. We performed a cluster analysis on 2098 M.tb isolates and classified them into 545 genotypes and five categories (I, 0.19%; II, 0.43%; III, 3.34%; IV, 77.46%; V, 18.59%). After adjusting for potential confounders, the Beijing family genotype (OR = 118.63, 95% CI: 79.61–176.79, P = 0.001) was significantly related to the dominant strain infections. Patients infected with non-dominant strains had a higher risk of the pulmonary cavity (OR = 1.39, 95% CI: 1.01–1.91, P = 0.046). Among 37 paired recurrent cases, 22 (59.46%) were determined as endogenous reactivation, and 15 (40.54%) were exogenous reinfection. The type of M.tb strains prevalent in Jiangsu Province is relatively single. Beijing family strains infection is dominant in local tuberculosis cases. Endogenous reactivation appears to be a major cause of recurrent tuberculosis in Eastern China. This finding emphasizes the importance of case follow-up and monitoring after the completion of antituberculosis treatment.
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Affiliation(s)
- Beibei Qiu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Bilin Tao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qiao Liu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China
| | - Zhongqi Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Huan Song
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Dan Tian
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jizhou Wu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhuchao Wu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Mengyao Zhan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Wei Lu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, China
| | - Jianming Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
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Shanmugam S, Bachmann NL, Martinez E, Menon R, Narendran G, Narayanan S, Tripathy SP, Ranganathan UD, Sawleshwarkar S, Marais BJ, Sintchenko V. Whole genome sequencing based differentiation between re-infection and relapse in Indian patients with tuberculosis recurrence, with and without HIV co-infection. Int J Infect Dis 2021; 113 Suppl 1:S43-S47. [PMID: 33741489 DOI: 10.1016/j.ijid.2021.03.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/09/2021] [Accepted: 03/09/2021] [Indexed: 10/21/2022] Open
Abstract
INTRODUCTION Differentiation between relapse and reinfection in cases with tuberculosis (TB) recurrence has important implications for public health, especially in patients with human immunodeficiency virus (HIV) co-infection. We compared Mycobacterial Interspersed Repeat Unit (MIRU) typing and spoligotyping with whole genome sequencing (WGS) to differentiate between relapse and reinfection in patients (HIV-positive and HIV-negative) with TB recurrence. We also assessed the value of WGS to track acquired drug resistance in those with relapse after successful treatment. METHOD Forty-one paired M. tuberculosis isolates collected from 20 HIV-positive and 21 HIV-negative patients were subjected to WGS in addition to spoligotyping and MIRU typing. Phylogenetic and Single Nucleotide Substitution (SNP) clustering analyses were performed to determine whether recurrences were due to relapse or re-infection. RESULTS Comparison of M. tuberculosis genomes indicated that 95% of TB recurrences in the HIV-negative cohort were due to relapse, while the majority of TB recurrences (75%) in the HIV-positive cohort was due to reinfection (P = 0.0001). New drug resistance mutations were acquired in 5/24 cases (20.8%) that experienced relapse. CONCLUSIONS WGS provided increased resolution, but differentiation between relapse and reinfection was broadly consistent with MIRU and spoligotyping. The high contribution of reinfection among HIV infected patients experiencing TB recurrence warrants further study to explore risk factors for TB exposure.
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Affiliation(s)
- Sivakumar Shanmugam
- ICMR-National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Nathan L Bachmann
- Centre for Infectious Diseases and Microbiology - Public Health, Westmead Hospital, Sydney, New South Wales, Australia.
| | - Elena Martinez
- Centre for Infectious Diseases and Microbiology - Public Health, Westmead Hospital, Sydney, New South Wales, Australia
| | - Ranjeeta Menon
- Centre for Infectious Diseases and Microbiology - Public Health, Westmead Hospital, Sydney, New South Wales, Australia; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, New South Wales, Australia
| | - G Narendran
- ICMR-National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Sujatha Narayanan
- ICMR-National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Srikanth P Tripathy
- ICMR-National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Uma Devi Ranganathan
- ICMR-National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India
| | - Shailendra Sawleshwarkar
- Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, New South Wales, Australia; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, New South Wales, Australia
| | - Ben J Marais
- Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, New South Wales, Australia
| | - Vitali Sintchenko
- Centre for Infectious Diseases and Microbiology - Public Health, Westmead Hospital, Sydney, New South Wales, Australia; Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, New South Wales, Australia; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, New South Wales, Australia
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8
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Asare P, Osei-Wusu S, Baddoo NA, Bedeley E, Otchere ID, Brites D, Loiseau C, Asante-Poku A, Prah DA, Borrell S, Reinhard M, Omari MA, Forson A, Koram KA, Gagneux S, Yeboah-Manu D. Genomic epidemiological analysis identifies high relapse among individuals with recurring tuberculosis and provides evidence of recent household-related transmission of tuberculosis in Ghana. Int J Infect Dis 2021; 106:13-22. [PMID: 33667696 PMCID: PMC8134059 DOI: 10.1016/j.ijid.2021.02.110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 02/25/2021] [Accepted: 02/25/2021] [Indexed: 11/29/2022] Open
Abstract
Unresolved previous infection as major cause of recurring tuberculosis (TB) in Ghana. Genomic epidemiology identifies high relapse among recurrent TB cases in Ghana. 15-locus MIRU-VNTR typing is sufficient to predict the cause of TB recurrence. Evidence of recent household-related TB transmission in Ghana. Need for increased education by national TB control program.
Objective To retrospectively investigate the cause of recurring tuberculosis (rcTB) among participants with pulmonary TB recruited from a prospective population-based study conducted between July 2012 and December 2015. Methods Mycobacterium tuberculosis complex isolates obtained from rcTB cases were characterized by standard mycobacterial genotyping tools, whole-genome sequencing, and phylogenetic analysis carried out to assess strain relatedness. Results The majority (58.3%, 21/36) of study participants with rcTB episodes had TB recurrence within 12 months post treatment. TB strains with isoniazid (INH) resistance were found in 19.4% (7/36) of participants at the primary episode, of which 29% (2/7) were also rifampicin-resistant. On TB recurrence, an INH-resistant strain was found in a larger proportion of participants, 27.8% (10/36), of which 40% (4/10) were MDR-TB strains. rcTB was attributed to relapse (same strain) in 75.0% (27/36) of participants and 25.0% (9/36) to re-infection. Conclusion Our findings indicate that previous unresolved infectiondue to inadequate treatment, may be the major cause of rcTB.
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Affiliation(s)
- Prince Asare
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana; West African Centre for Cell Biology of Infectious Pathogens, UG, Ghana; Department of Biochemistry, Cell and Molecular Biology, UG, Ghana.
| | - Stephen Osei-Wusu
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | | | - Edmund Bedeley
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | - Isaac Darko Otchere
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | - Daniela Brites
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Chloé Loiseau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Adwoa Asante-Poku
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | - Diana Ahu Prah
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | - Sonia Borrell
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Miriam Reinhard
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Michael Amo Omari
- Department of Chest Diseases, Korle-Bu Teaching Hospital, Korle-Bu, Accra, Ghana
| | - Audrey Forson
- Department of Chest Diseases, Korle-Bu Teaching Hospital, Korle-Bu, Accra, Ghana
| | - Kwadwo Ansah Koram
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Dorothy Yeboah-Manu
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana; West African Centre for Cell Biology of Infectious Pathogens, UG, Ghana
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9
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Cheng B, Behr MA, Howden BP, Cohen T, Lee RS. Reporting practices for genomic epidemiology of tuberculosis: a systematic review of the literature using STROME-ID guidelines as a benchmark. THE LANCET. MICROBE 2021; 2:e115-e129. [PMID: 33842904 PMCID: PMC8034592 DOI: 10.1016/s2666-5247(20)30201-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
BACKGROUND Pathogen genomics have become increasingly important in infectious disease epidemiology and public health. The Strengthening the Reporting of Molecular Epidemiology for Infectious Diseases (STROME-ID) guidelines were developed to outline a minimum set of criteria that should be reported in genomic epidemiology studies to facilitate assessment of study quality. We evaluate such reporting practices, using tuberculosis as an example. METHODS For this systematic review, we initially searched MEDLINE, Embase Classic, and Embase on May 3, 2017, using the search terms "tuberculosis" and "genom* sequencing". We updated this initial search on April 23, 2019, and also included a search of bioRxiv at this time. We included studies in English, French, or Spanish that recruited patients with microbiologically confirmed tuberculosis and used whole genome sequencing for typing of strains. Non-human studies, conference abstracts, and literature reviews were excluded. For each included study, the number and proportion of fulfilled STROME-ID criteria were recorded by two reviewers. A comparison of the mean proportion of fulfilled STROME-ID criteria before and after publication of the STROME-ID guidelines (in 2014) was done using a two-tailed t test. Quasi-Poisson regression and tobit regression were used to examine associations between study characteristics and the number and proportion of fulfilled STROME-ID criteria. This study was registered with PROSPERO, CRD42017064395. FINDINGS 976 titles and abstracts were identified by our primary search, with an additional 16 studies identified in bioRxiv. 114 full texts (published between 2009 and 2019) were eligible for inclusion. The mean proportion of STROME-ID criteria fulfilled was 50% (SD 12; range 16-75). The proportion of criteria fulfilled was similar before and after STROME-ID publication (51% [SD 11] vs 46% [14], p=0·26). The number of criteria reported (among those applicable to all studies) was not associated with impact factor, h-index, country of affiliation of senior author, or sample size of isolates. Similarly, the proportion of criteria fulfilled was not associated with these characteristics, with the exception of a sample size of isolates of 277 or more (the highest quartile). In terms of reproducibility, 100 (88%) studies reported which bioinformatic tools were used, but only 33 (33%) reported corresponding version numbers. Sequencing data were available for 86 (75%) studies. INTERPRETATION The reporting of STROME-ID criteria in genomic epidemiology studies of tuberculosis between 2009 and 2019 was low, with implications for assessment of study quality. The considerable proportion of studies without bioinformatics version numbers or sequencing data available highlights a key concern for reproducibility.
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Affiliation(s)
- Brianna Cheng
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Marcel A Behr
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Benjamin P Howden
- The Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | | | - Robyn S Lee
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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10
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Pathak L, Das B. Initiation of Post-Primary Tuberculosis of the Lungs: Exploring the Secret Role of Bone Marrow Derived Stem Cells. Front Immunol 2021; 11:594572. [PMID: 33584661 PMCID: PMC7873989 DOI: 10.3389/fimmu.2020.594572] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 12/03/2020] [Indexed: 01/01/2023] Open
Abstract
Mycobacterium tuberculosis (Mtb), the causative organism of pulmonary tuberculosis (PTB) now infects more than half of the world population. The efficient transmission strategy of the pathogen includes first remaining dormant inside the infected host, next undergoing reactivation to cause post-primary tuberculosis of the lungs (PPTBL) and then transmit via aerosol to the community. In this review, we are exploring recent findings on the role of bone marrow (BM) stem cell niche in Mtb dormancy and reactivation that may underlie the mechanisms of PPTBL development. We suggest that pathogen's interaction with the stem cell niche may be relevant in potential inflammation induced PPTBL reactivation, which need significant research attention for the future development of novel preventive and therapeutic strategies for PPTBL, especially in a post COVID-19 pandemic world. Finally, we put forward potential animal models to study the stem cell basis of Mtb dormancy and reactivation.
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Affiliation(s)
- Lekhika Pathak
- Department of Stem Cell and Infectious Diseases, KaviKrishna Laboratory, Guwahati Biotech Park, Indian Institute of Technology, Guwahati, India
- KaviKrishna Telemedicine Care, Sualkuchi, India
| | - Bikul Das
- Department of Stem Cell and Infectious Diseases, KaviKrishna Laboratory, Guwahati Biotech Park, Indian Institute of Technology, Guwahati, India
- KaviKrishna Telemedicine Care, Sualkuchi, India
- Department of Stem Cell and Infection, Thoreau Laboratory for Global Health, M2D2, University of Massachusetts, Lowell, MA, United States
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11
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Chen X, Hu TY. Strategies for advanced personalized tuberculosis diagnosis: Current technologies and clinical approaches. PRECISION CLINICAL MEDICINE 2021; 4:35-44. [PMID: 33842836 PMCID: PMC8023014 DOI: 10.1093/pcmedi/pbaa041] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 12/21/2020] [Accepted: 12/21/2020] [Indexed: 02/05/2023] Open
Abstract
Diagnosis of tuberculosis can be difficult as advances in molecular diagnosis approaches (especially nanoparticles combined with high-throughput mass spectrometry for detecting mycobacteria peptide) and personalized medicine result in many changes to the diagnostic framework. This review will address issues concerning novel technologies from bench to bed and new strategies for personalized tuberculosis diagnosis.
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Affiliation(s)
- Xuerong Chen
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Tony Y Hu
- Center for Cellular and Molecular Diagnostics, School of Medicine, Tulane University, New Orleans, LA 70112, USA
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12
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Liu Y, Zhang XX, Yu JJ, Liang C, Xing Q, Yao C, Li CY. Tuberculosis relapse is more common than reinfection in Beijing, China. Infect Dis (Lond) 2020; 52:858-865. [PMID: 32673126 DOI: 10.1080/23744235.2020.1794027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Affiliation(s)
- Yi Liu
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, PR China
| | - Xu Xia Zhang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, PR China
| | - Jia Jia Yu
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, PR China
| | - Chen Liang
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, PR China
| | - Qing Xing
- Central laboratory, Beijing Research Institute for Tuberculosis Control, Beijing, PR China
| | - Cong Yao
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, PR China
| | - Chuan You Li
- Department of Bacteriology and Immunology, Beijing Key Laboratory on Drug-Resistant Tuberculosis Research, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, PR China
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13
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Brugueras S, Molina VI, Casas X, González YD, Forcada N, Romero D, Rodés A, Altet MN, Maldonado J, Martin-Sánchez M, Caylà JA, Orcau À, Rius C, Millet JP. Tuberculosis recurrences and predictive factors in a vulnerable population in Catalonia. PLoS One 2020; 15:e0227291. [PMID: 31940383 PMCID: PMC6961944 DOI: 10.1371/journal.pone.0227291] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 12/16/2019] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Patients with a history of tuberculosis (TB) have a high probability of recurrence because long-term cure is not always maintained in successfully treated patients. The aim of this study was to identify the probability of TB recurrence and its predictive factors in a cohort of socially vulnerable patients who completed treatment in the TB referral center in Catalonia, which acts as the center for patients with social and health problems. METHODS This retrospective open cohort study included all patients diagnosed with TB who were admitted and successfully treated in Serveis Clínics between 2000 and 2016 and who remained disease-free for a minimum of 1 year after treatment completion. We calculated the incidence density of TB recurrences per person-years of follow-up. We also estimated the cumulative incidence of TB recurrence at 1, 2, 5, and 10 years of follow-up. Bivariate analysis was conducted using Kaplan-Meier curves. Multivariate analysis was conducted using Cox regression. Hazard ratios (HR) were calculated with their 95% confidence intervals (95%CI). RESULTS There were 839 patients and 24 recurrences (2.9%), representing 0.49 per 100 person-years. The probability of a recurrence was 0.63% at 1 year of follow-up, 1.35% at 2 years, and 3.69% at 5 years. The multivariate analysis showed that the predictive factors of recurrence were age older than 34 years (aHR = 3.90; CI = 1.06-14.34 at age 35-45 years and aHR = 3.88; CI = 1.02-14.80 at age >45 years) and resistance to at least one anti-TB drug (aHR = 2.91; CI = 1.11-7.65). CONCLUSIONS Attention should be paid to socially vulnerable persons older than 34 years with a previous episode of resistant TB. Surveillance resources should be directed toward adequately treated patients who nevertheless have a high risk of recurrence.
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Affiliation(s)
- Sílvia Brugueras
- Epidemiology Service, Agència de Salut Pública de Barcelona (ASPB), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Departamento de Pediatría, Obstetricia y Ginecología y Medicina Preventiva, Facultad de Medicina, Universidad Autónoma de Barcelona, Barcelona, Spain
| | | | | | | | | | | | - Anna Rodés
- Agència de Salut Pública de Catalunya, Barcelona, Spain
| | | | | | - Mario Martin-Sánchez
- Preventive Medicine and Public Health Training Unit Parc de Salut Mar–Pompeu Fabra University—Public Health Agency of Barcelona (PSMar-UPF-ASPB), Barcelona, Spain
| | - Joan A. Caylà
- Foundation of the Tuberculosis Research Unit of Barcelona (fuiTB), Barcelona, Spain
| | - Àngels Orcau
- Epidemiology Service, Agència de Salut Pública de Barcelona (ASPB), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Foundation of the Tuberculosis Research Unit of Barcelona (fuiTB), Barcelona, Spain
| | - Cristina Rius
- Epidemiology Service, Agència de Salut Pública de Barcelona (ASPB), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Departamento de Pediatría, Obstetricia y Ginecología y Medicina Preventiva, Facultad de Medicina, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Joan-Pau Millet
- Epidemiology Service, Agència de Salut Pública de Barcelona (ASPB), Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Serveis Clínics, Barcelona, Spain
- Foundation of the Tuberculosis Research Unit of Barcelona (fuiTB), Barcelona, Spain
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14
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Armstrong GL, MacCannell DR, Taylor J, Carleton HA, Neuhaus EB, Bradbury RS, Posey JE, Gwinn M. Pathogen Genomics in Public Health. N Engl J Med 2019; 381:2569-2580. [PMID: 31881145 PMCID: PMC7008580 DOI: 10.1056/nejmsr1813907] [Citation(s) in RCA: 123] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Rapid advances in DNA sequencing technology ("next-generation sequencing") have inspired optimism about the potential of human genomics for "precision medicine." Meanwhile, pathogen genomics is already delivering "precision public health" through more effective investigations of outbreaks of foodborne illnesses, better-targeted tuberculosis control, and more timely and granular influenza surveillance to inform the selection of vaccine strains. In this article, we describe how public health agencies have been adopting pathogen genomics to improve their effectiveness in almost all domains of infectious disease. This momentum is likely to continue, given the ongoing development in sequencing and sequencing-related technologies.
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Affiliation(s)
- Gregory L Armstrong
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Duncan R MacCannell
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Jill Taylor
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Heather A Carleton
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Elizabeth B Neuhaus
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Richard S Bradbury
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - James E Posey
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
| | - Marta Gwinn
- From the National Center for Emerging and Zoonotic Infectious Diseases (G.L.A., D.R.M., H.A.C.), the National Center for Immunization and Respiratory Diseases (E.B.N.), the Center for Global Health (R.S.B.), and the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (J.E.P.), Centers for Disease Control and Prevention, and CFOL International (M.G.) - all in Atlanta; and the Wadsworth Center, New York State Department of Health, Albany (J.T.)
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15
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Maghradze N, Jugheli L, Borrell S, Tukvadze N, Aspindzelashvili R, Avaliani Z, Reither K, Gagneux S. Classifying recurrent Mycobacterium tuberculosis cases in Georgia using MIRU-VNTR typing. PLoS One 2019; 14:e0223610. [PMID: 31626647 PMCID: PMC6799914 DOI: 10.1371/journal.pone.0223610] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 09/24/2019] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Recurrent tuberculosis (TB) is one of the main challenges in TB control. Genotyping based on Mycobacterial Interspersed Repetitive Units-Variable Tandem Repeats (MIRU-VNTR) has been widely used to differentiate between relapse and reinfection, which are the two main causes of recurrent TB. There is a lack of data regarding the causes of TB recurrence in Georgia, and while differentiating between relapse and reinfection plays a key role in defining appropriate interventions, the required genotyping methodologies have not been implemented. The objective of this study was to implement MIRU-VNTR genotyping at the National Center for Tuberculosis and Lung Diseases (NCTBLD) and differentiate between relapse and reinfection in multidrug resistant (MDR-) TB patients from Tbilisi, Georgia. METHODS Recurrent MDR tuberculosis cases from 2014-2016 diagnosed at NCTLD were included in the study when bacterial samples from both episodes were available. Genotyping based on the MIRU-VNTR 24 loci was implemented and used for differentiating between relapse and reinfection. Paired samples showing the same MIRU-VNTR pattern or one locus difference were classified as relapse, while two and more loci differences were treated as reinfection. Exact logistic regression was used to identify predictors of recurrence. RESULTS Thirty two MDR-TB patients (64 samples) were included and MIRU-VNTR 24 typing was performed on the corresponding paired samples. Of the 32 patients, 25 (83.3%) were identified as relapse while 5 (16.7%) were due to re-infection. Patients with a history of incarceration were significantly associated with TB reinfection (p< 0.05). CONCLUSION Recurrent TB in MDR patients in Georgia are mainly caused by relapse, raising concerns on the efficacy of the TB control program. An association between incarceration and reinfection likely reflects high levels of ongoing TB transmission in prisons, indicating the need for better TB infection control measures in these settings. Our results add to the rationale for implementing genotypic surveillance of TB more broadly to support TB control in Georgia.
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Affiliation(s)
- Nino Maghradze
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Levan Jugheli
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Sonia Borrell
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Nestani Tukvadze
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | | | - Zaza Avaliani
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Klaus Reither
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- * E-mail:
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Batyrshina YR, Schwartz YS. Modeling of Mycobacterium tuberculosis dormancy in bacterial cultures. Tuberculosis (Edinb) 2019; 117:7-17. [DOI: 10.1016/j.tube.2019.05.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 04/18/2019] [Accepted: 05/22/2019] [Indexed: 10/26/2022]
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17
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Xie O, Tay EL, Denholm J. Trends in Tuberculosis Incidence in the Australian-Born in Victoria: Opportunities and Challenges to Elimination. Trop Med Infect Dis 2018; 3:tropicalmed3040112. [PMID: 30314387 PMCID: PMC6306824 DOI: 10.3390/tropicalmed3040112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 10/02/2018] [Accepted: 10/03/2018] [Indexed: 11/23/2022] Open
Abstract
Australia is a low tuberculosis incidence country. In the setting of increasing migration, we aimed to investigate the epidemiology and trends of tuberculosis in the Australian-born population in the state of Victoria between 1992 and 2017. We performed a retrospective descriptive analysis of demographic, clinical and outcome data extracted from a centralized notifiable disease database. The mean incidence of tuberculosis was 1.19 cases per 100,000 population per year with a small but significant reduction of 0.98% per year. The median age of cases decreased from 67.5 years in 1994 to 17 years in 2017. Among 0–14 year-olds, there was an increase from 0.13 cases per 100,000 population in 1996 to 2.15 per 100,000 population in 2017. Data for risk factors were available from 2002 onwards. The most common risk factor in the 0–14 year age group was a household contact with tuberculosis (85.1%), followed by having a parent from a high tuberculosis incidence country (70.2%). We found the rate of tuberculosis in the Australian-born population in Victoria is low. However, there has been an increase in incidence in children, particularly among those with links to countries with high tuberculosis incidence. This could threaten progress towards tuberculosis elimination in Australia.
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Affiliation(s)
- Ouli Xie
- Victorian Infectious Diseases Service, Royal Melbourne Hospital, Parkville, VIC 3050, Australia.
| | - Ee Laine Tay
- Department of Health and Human Services, Melbourne, VIC 3000, Australia.
| | - Justin Denholm
- Victorian Infectious Diseases Service, Royal Melbourne Hospital, Parkville, VIC 3050, Australia.
- Victorian Tuberculosis Program, Melbourne, VIC 3000, Australia.
- Department of Microbiology and Immunology, University of Melbourne, Parkville, VIC 3010, Australia.
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