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Farhat M, Cox H, Ghanem M, Denkinger CM, Rodrigues C, Abd El Aziz MS, Enkh-Amgalan H, Vambe D, Ugarte-Gil C, Furin J, Pai M. Drug-resistant tuberculosis: a persistent global health concern. Nat Rev Microbiol 2024; 22:617-635. [PMID: 38519618 DOI: 10.1038/s41579-024-01025-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/12/2024] [Indexed: 03/25/2024]
Abstract
Drug-resistant tuberculosis (TB) is estimated to cause 13% of all antimicrobial resistance-attributable deaths worldwide and is driven by both ongoing resistance acquisition and person-to-person transmission. Poor outcomes are exacerbated by late diagnosis and inadequate access to effective treatment. Advances in rapid molecular testing have recently improved the diagnosis of TB and drug resistance. Next-generation sequencing of Mycobacterium tuberculosis has increased our understanding of genetic resistance mechanisms and can now detect mutations associated with resistance phenotypes. All-oral, shorter drug regimens that can achieve high cure rates of drug-resistant TB within 6-9 months are now available and recommended but have yet to be scaled to global clinical use. Promising regimens for the prevention of drug-resistant TB among high-risk contacts are supported by early clinical trial data but final results are pending. A person-centred approach is crucial in managing drug-resistant TB to reduce the risk of poor treatment outcomes, side effects, stigma and mental health burden associated with the diagnosis. In this Review, we describe current surveillance of drug-resistant TB and the causes, risk factors and determinants of drug resistance as well as the stigma and mental health considerations associated with it. We discuss recent advances in diagnostics and drug-susceptibility testing and outline the progress in developing better treatment and preventive therapies.
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Affiliation(s)
- Maha Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Helen Cox
- Institute of Infectious Disease and Molecular Medicine, Wellcome Centre for Infectious Disease Research and Division of Medical Microbiology, University of Cape Town, Cape Town, South Africa
| | - Marwan Ghanem
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Claudia M Denkinger
- Division of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany
- German Center for Infection Research (DZIF), partner site Heidelberg University Hospital, Heidelberg, Germany
| | | | - Mirna S Abd El Aziz
- Division of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Debrah Vambe
- National TB Control Programme, Manzini, Eswatini
| | - Cesar Ugarte-Gil
- School of Public and Population Health, University of Texas Medical Branch, Galveston, TX, USA
| | - Jennifer Furin
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - Madhukar Pai
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada.
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Cudahy PGT, Andrews JR, Bilinski A, Dowdy DW, Mathema B, Menzies NA, Salomon JA, Shrestha S, Cohen T. Spatially targeted screening to reduce tuberculosis transmission in high-incidence settings. THE LANCET. INFECTIOUS DISEASES 2019; 19:e89-e95. [PMID: 30554997 PMCID: PMC6401264 DOI: 10.1016/s1473-3099(18)30443-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 05/07/2018] [Accepted: 07/11/2018] [Indexed: 12/21/2022]
Abstract
As the leading infectious cause of death worldwide and the primary proximal cause of death in individuals living with HIV, tuberculosis remains a global concern. Existing tuberculosis control strategies that rely on passive case-finding appear insufficient to achieve targets for reductions in tuberculosis incidence and mortality. Active case-finding strategies aim to detect infectious individuals earlier in their infectious period to reduce onward transmission and improve treatment outcomes. Empirical studies of active case-finding have produced mixed results and determining how to direct active screening to those most at risk remains a topic of intense research. Our systematic review of literature evaluating the effects of geographically targeted tuberculosis screening interventions found three studies in low tuberculosis incidence settings, but none conducted in high tuberculosis incidence countries. We discuss open questions related to the use of spatially targeted approaches for active screening in countries where tuberculosis incidence is highest.
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Affiliation(s)
- Patrick G T Cudahy
- Section of Infectious Disease, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.
| | - Jason R Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Alyssa Bilinski
- Interfaculty Initiative in Health Policy, Harvard Graduate School of Arts and Sciences, Cambridge, MA, USA
| | - David W Dowdy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Barun Mathema
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Nicolas A Menzies
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Joshua A Salomon
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA; Center for Health Policy and Center for Primary Care and Outcomes Research, Stanford University, Stanford, CA, USA
| | - Sourya Shrestha
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ted Cohen
- Department of Epidemiology (Microbial Diseases), Yale University School of Public Health, New Haven, CT, USA
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Pescarini JM, Simonsen V, Ferrazoli L, Rodrigues LC, Oliveira RS, Waldman EA, Houben R. Migration and tuberculosis transmission in a middle-income country: a cross-sectional study in a central area of São Paulo, Brazil. BMC Med 2018; 16:62. [PMID: 29706130 PMCID: PMC5925834 DOI: 10.1186/s12916-018-1055-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Accepted: 04/10/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Little is known about the impact of growing migration on the pattern of tuberculosis (TB) transmission in middle-income countries. We estimated TB recent transmission and its associated factors and investigated the presence of cross-transmission between South American migrants and Brazilians. METHODS We studied a convenient sample of cases of people with pulmonary TB in a central area of São Paulo, Brazil, diagnosed between 2013 and 2014. Cases with similar restriction fragment length polymorphism (IS6110-RFLP) patterns of their Mycobacterium tuberculosis complex isolates were grouped in clusters (recent transmission). Clusters with both Brazilian and South American migrants were considered mixed (cross-transmission). Risk factors for recent transmission were studied using logistic regression. RESULTS Isolates from 347 cases were included, 76.7% from Brazilians and 23.3% from South American migrants. Fifty clusters were identified, which included 43% South American migrants and 60.2% Brazilians (odds ratio = 0.50, 95% confidence interval = 0.30-0.83). Twelve cross-transmission clusters were identified, involving 24.6% of all clustered cases and 13.8% of all genotyped cases, with migrants accounting for either an equal part or fewer cases in 11/12 mixed clusters. CONCLUSIONS Our results suggest that TB disease following recent transmission is more common among Brazilians, especially among those belonging to high-risk groups, such as drug users. Cross-transmission between migrants and Brazilians was present, but we found limited contributions from migrants to Brazilians in central areas of São Paulo and vice versa.
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Affiliation(s)
- Julia Moreira Pescarini
- Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brazil.
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK.
| | | | | | - Laura C Rodrigues
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK
| | | | | | - Rein Houben
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK
- TB Modelling Group, TB Centre, London School of Hygiene and Tropical Medicine, London, UK
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Peres RL, Vinhas SA, Ribeiro FKC, Palaci M, do Prado TN, Reis-Santos B, Zandonade E, Suffys PN, Golub JE, Riley LW, Maciel EL. Risk factors associated with cluster size of Mycobacterium tuberculosis (Mtb) of different RFLP lineages in Brazil. BMC Infect Dis 2018; 18:71. [PMID: 29422032 PMCID: PMC5806441 DOI: 10.1186/s12879-018-2969-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2016] [Accepted: 01/17/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) transmission is influenced by patient-related risk, environment and bacteriological factors. We determined the risk factors associated with cluster size of IS6110 RFLP based genotypes of Mycobacterium tuberculosis (Mtb) isolates from Vitoria, Espirito Santo, Brazil. METHODS Cross-sectional study of new TB cases identified in the metropolitan area of Vitoria, Brazil between 2000 and 2010. Mtb isolates were genotyped by the IS6110 RFLP, spoligotyping and RDRio. The isolates were classified according to genotype cluster sizes by three genotyping methods and associated patient epidemiologic characteristics. Regression Model was performed to identify factors associated with cluster size. RESULTS Among 959 Mtb isolates, 461 (48%) cases had an isolate that belonged to an RFLP cluster, and six clusters with ten or more isolates were identified. Of the isolates spoligotyped, 448 (52%) were classified as LAM and 412 (48%) as non-LAM. Our regression model found that 6-9 isolates/RFLP cluster were more likely belong to the LAM family, having the RDRio genotype and to be smear-positive (adjusted OR = 1.17, 95% CI 1.08-1.26; adjusted OR = 1.25, 95% CI 1.14-1.37; crude OR = 2.68, 95% IC 1.13-6.34; respectively) and living in a Serra city neighborhood decrease the risk of being in the 6-9 isolates/RFLP cluster (adjusted OR = 0.29, 95% CI, 0.10-0.84), than in the others groups. Individuals aged 21 to 30, 31 to 40 and > 50 years were less likely of belonging the 2-5 isolates/RFLP cluster than unique patterns compared to individuals < 20 years of age (adjusted OR = 0.49, 95% CI 0.28-0.85, OR = 0.43 95% CI 0.24-0.77and OR = 0. 49, 95% CI 0.26-0.91), respectively. The extrapulmonary disease was less likely to occur in those infected with strains in the 2-5 isolates/cluster group (adjustment OR = 0.45, 95% CI 0.24-0.85) than unique patterns. CONCLUSIONS We found that a large proportion of new TB infections in Vitoria is caused by prevalent Mtb genotypes belonging to the LAM family and RDRio genotypes. Such information demonstrates that some genotypes are more likely to cause recent transmission. Targeting interventions such as screening in specific areas and social risk groups, should be a priority for reducing transmission.
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Affiliation(s)
- Renata Lyrio Peres
- Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Espirito Santo, Brazil
- Laboratório de Epidemiologia da Universidade Federal do Espírito Santo, Av. Marechal Campos, 1468- Maruípe-, Vitória, ES Brazil
| | - Solange Alves Vinhas
- Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Espirito Santo, Brazil
| | | | - Moisés Palaci
- Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Espirito Santo, Brazil
| | - Thiago Nascimento do Prado
- Laboratório de Epidemiologia da Universidade Federal do Espírito Santo, Av. Marechal Campos, 1468- Maruípe-, Vitória, ES Brazil
| | - Bárbara Reis-Santos
- Laboratório de Epidemiologia da Universidade Federal do Espírito Santo, Av. Marechal Campos, 1468- Maruípe-, Vitória, ES Brazil
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Eliana Zandonade
- Laboratório de Epidemiologia da Universidade Federal do Espírito Santo, Av. Marechal Campos, 1468- Maruípe-, Vitória, ES Brazil
| | - Philip Noel Suffys
- Laboratório de Biologia Molecular Aplicada a Micobactérias, Instituto Oswaldo Cruz – FioCruz, Rio de Janeiro, Brazil
| | | | - Lee W. Riley
- Division of Infectious Disease and Vaccinology, School of Public Health, University of California, Berkeley, CA USA
| | - Ethel Leonor Maciel
- Laboratório de Epidemiologia da Universidade Federal do Espírito Santo, Av. Marechal Campos, 1468- Maruípe-, Vitória, ES Brazil
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Prediction of Local Transmission of Mycobacterium tuberculosis Isolates of a Predominantly Beijing Lineage by Use of a Variable-Number Tandem-Repeat Typing Method Incorporating a Consensus Set of Hypervariable Loci. J Clin Microbiol 2017; 56:JCM.01016-17. [PMID: 29046413 DOI: 10.1128/jcm.01016-17] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 10/05/2017] [Indexed: 01/08/2023] Open
Abstract
Strain genotyping based on the variable-number tandem repeat (VNTR) is widely applied for identifying the transmission of Mycobacterium tuberculosis A consensus set of four hypervariable loci (1982, 3232, 3820, and 4120) has been proposed to improve the discrimination of Beijing lineage strains. Herein, we evaluated the utility of these four hypervariable loci for tracing local tuberculosis transmission in 981 cases over a 14-month period in Japan (2010 to 2011). We used six different VNTR systems, with or without the four hypervariable loci. Patient ages and weighted standard distances (a measure of the dispersion of genotype-clustered cases) were used as proxies for estimating local tuberculosis transmission. The highest levels of isolate discrimination were achieved with VNTR systems that incorporated the four hypervariable loci (i.e., the Japan Anti-Tuberculosis Association [JATA]18-VNTR, mycobacterial interspersed repetitive unit [MIRU]28-VNTR, and 24Beijing-VNTR). The clustering rates by JATA12-VNTR, MIRU15-VNTR, JATA15-VNTR, JATA18-VNTR, MIRU28-VNTR, and 24Beijing-VNTR systems were 52.2%, 51.0%, 39.0%, 24.1%, 23.1%, and 22.0%, respectively. As the discriminative power increased, the median weighted standard distances of the clusters tended to decrease (from 311 to 80 km, P < 0.001, Jonckheere-Terpstra trend test). Concurrently, the median ages of patients in the clusters tended to decrease (from 68 to 60 years, P < 0.001, Jonckheere-Terpstra trend test). These findings suggest that strain typing using the four hypervariable loci improves the prediction of active local tuberculosis transmission. The four-locus set can therefore contribute to the targeted control of tuberculosis in settings with high prevalence of Beijing lineage strains.
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Lalor MK, Anderson LF, Hamblion EL, Burkitt A, Davidson JA, Maguire H, Abubakar I, Thomas HL. Recent household transmission of tuberculosis in England, 2010-2012: retrospective national cohort study combining epidemiological and molecular strain typing data. BMC Med 2017; 15:105. [PMID: 28606177 PMCID: PMC5469076 DOI: 10.1186/s12916-017-0864-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Accepted: 04/27/2017] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND We estimate the proportion of tuberculosis (TB) in England due to recent household transmission, identify factors associated with being a household transmitter, and investigate the impact that identification of a case has on time to treatment of subsequent cases. METHODS TB cases notified between 2010 and 2012 in England in the same household as another case were identified; 24 locus MIRU-VNTR strain typing (ST) was used to identify household cases with likely recent transmission. Treatment delay in index and subsequent cases was compared. Risk factors for being a household transmitter were identified in univariable and multivariable analyses. RESULTS Overall, 7.7% (1849/24,060) of TB cases lived in a household with another case. We estimate that 3.9% were due to recent household transmission. ST data was unavailable for 67% (1242) of household pairs. For those with ST data, 64% (386) had confirmed, 11% probable (66) and 25% (155) refuted household transmission. The median treatment delay was 65 days for index cases and 37 days for subsequent asymptomatic cases. Risk factors for being a household transmitter included being under 25 years old, UK-born with Black African, Indian or Pakistani ethnicity, or born in Somalia or Romania. CONCLUSIONS This study has a number of implications for household TB contact tracing in low incidence countries, including the potential to reduce the diagnostic delay for subsequent household cases and the benefit of using ST to identify when to conduct source contact tracing outside the household. As 25% of TB cases in households had discordant strains, households with multiple TB cases do not necessarily represent household transmission. The additional fact that 25% of index cases within households only had extra-pulmonary TB demonstrates that, if household contact tracing is limited to pulmonary TB cases (as recently recommended in UK guidelines), additional cases of active TB in households will be missed. Our finding that no lineage of TB was associated with recent household transmission and with no increased transmissibility in the Beijing lineage compared to others, suggests that the lineage need not impact contact tracing efforts. Improvements in contact tracing have the potential to reduce transmission of TB in low incidence countries.
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Affiliation(s)
- Maeve K Lalor
- TB Section, Centre for Infectious Disease Surveillance, National Infection Service, Public Health England, London, UK. .,Institute for Global Health, University College London, London, UK.
| | - Laura F Anderson
- TB Section, Centre for Infectious Disease Surveillance, National Infection Service, Public Health England, London, UK
| | - Esther L Hamblion
- Field Epidemiology Services, National Infection Service, Public Health England, London, UK
| | - Andy Burkitt
- Field Epidemiology Services, National Infection Service, Public Health England, London, UK.,Field Epidemiology Services, National Infection Service, Public Health England, Newcastle upon Tyne, UK
| | - Jennifer A Davidson
- TB Section, Centre for Infectious Disease Surveillance, National Infection Service, Public Health England, London, UK
| | - Helen Maguire
- Institute for Global Health, University College London, London, UK.,Field Epidemiology Services, National Infection Service, Public Health England, London, UK
| | - Ibrahim Abubakar
- TB Section, Centre for Infectious Disease Surveillance, National Infection Service, Public Health England, London, UK.,Institute for Global Health, University College London, London, UK
| | - H Lucy Thomas
- TB Section, Centre for Infectious Disease Surveillance, National Infection Service, Public Health England, London, UK
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7
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Vinhas SA, Jones-López EC, Ribeiro Rodrigues R, Gaeddert M, Peres RL, Marques-Rodrigues P, de Aguiar PPL, White LF, Alland D, Salgame P, Hom D, Ellner JJ, Dietze R, Collins LF, Shashkina E, Kreiswirth B, Palaci M. Strains of Mycobacterium tuberculosis transmitting infection in Brazilian households and those associated with community transmission of tuberculosis. Tuberculosis (Edinb) 2017; 104:79-86. [PMID: 28454653 DOI: 10.1016/j.tube.2017.03.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 03/08/2017] [Accepted: 03/10/2017] [Indexed: 12/16/2022]
Abstract
Molecular epidemiologic studies have shown that the dynamics of tuberculosis transmission varies geographically. We sought to determine which strains of Mycobacterium tuberculosis (MTB) were infecting household contacts (HHC), and which were causing clusters of tuberculosis (TB) disease in Vitoria-ES, Brazil. A total of 741 households contacts (445 TST +) and 139 index cases were characterized according to the proportion of contacts in each household that had a tuberculin skin test positive: low (LT) (≤40% TST+), high (HT) (≥70% TST+) and (40-70% TST+) intermediate (IT) transmission. IS6110-RFLP and spoligotyping analysis were performed only 139 MTB isolates from index cases and 841 community isolates. Clustering occurred in 45% of the entire study population. There was no statistically significant association between MTB household transmission category and clustering. Within the household study population, the proportion of clusters in HT and LT groups was similar (31% and 36%, respectively; p = 0.82). Among index cases isolates associated with households demonstrating TST conversion, the frequency of unique pattern genotypes was higher for index cases of the LT compared to HT households (p = 0.03). We concluded that clusters and lineages associated with MTB infection in HT households had no proclivity for increased transmission of TB in the community.
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Affiliation(s)
- Solange Alves Vinhas
- Núcleo de Doenças Infecciosas (NDI), Universidade Federal do Espírito Santo (UFES), Vitória, Brazil
| | - Edward C Jones-López
- Section of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA
| | | | - Mary Gaeddert
- Section of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA
| | - Renata Lyrio Peres
- Núcleo de Doenças Infecciosas (NDI), Universidade Federal do Espírito Santo (UFES), Vitória, Brazil
| | | | | | - Laura Forsberg White
- Section of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA
| | - David Alland
- Division of Infectious Diseases, Department of Medicine, New Jersey Medical School - Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Padmini Salgame
- Division of Infectious Diseases, Department of Medicine, New Jersey Medical School - Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - David Hom
- Section of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA
| | - Jerrold J Ellner
- Section of Infectious Diseases, Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA
| | - Reynaldo Dietze
- Núcleo de Doenças Infecciosas (NDI), Universidade Federal do Espírito Santo (UFES), Vitória, Brazil
| | - Lauren F Collins
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Elena Shashkina
- Public Health Research Institute Center, New Jersey Medical School - Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Barry Kreiswirth
- Public Health Research Institute Center, New Jersey Medical School - Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Moisés Palaci
- Núcleo de Doenças Infecciosas (NDI), Universidade Federal do Espírito Santo (UFES), Vitória, Brazil.
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8
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Dheda K, Gumbo T, Maartens G, Dooley KE, McNerney R, Murray M, Furin J, Nardell EA, London L, Lessem E, Theron G, van Helden P, Niemann S, Merker M, Dowdy D, Van Rie A, Siu GKH, Pasipanodya JG, Rodrigues C, Clark TG, Sirgel FA, Esmail A, Lin HH, Atre SR, Schaaf HS, Chang KC, Lange C, Nahid P, Udwadia ZF, Horsburgh CR, Churchyard GJ, Menzies D, Hesseling AC, Nuermberger E, McIlleron H, Fennelly KP, Goemaere E, Jaramillo E, Low M, Jara CM, Padayatchi N, Warren RM. The epidemiology, pathogenesis, transmission, diagnosis, and management of multidrug-resistant, extensively drug-resistant, and incurable tuberculosis. THE LANCET. RESPIRATORY MEDICINE 2017; 5:S2213-2600(17)30079-6. [PMID: 28344011 DOI: 10.1016/s2213-2600(17)30079-6] [Citation(s) in RCA: 382] [Impact Index Per Article: 54.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 10/24/2016] [Accepted: 12/08/2016] [Indexed: 12/25/2022]
Abstract
Global tuberculosis incidence has declined marginally over the past decade, and tuberculosis remains out of control in several parts of the world including Africa and Asia. Although tuberculosis control has been effective in some regions of the world, these gains are threatened by the increasing burden of multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis. XDR tuberculosis has evolved in several tuberculosis-endemic countries to drug-incurable or programmatically incurable tuberculosis (totally drug-resistant tuberculosis). This poses several challenges similar to those encountered in the pre-chemotherapy era, including the inability to cure tuberculosis, high mortality, and the need for alternative methods to prevent disease transmission. This phenomenon mirrors the worldwide increase in antimicrobial resistance and the emergence of other MDR pathogens, such as malaria, HIV, and Gram-negative bacteria. MDR and XDR tuberculosis are associated with high morbidity and substantial mortality, are a threat to health-care workers, prohibitively expensive to treat, and are therefore a serious public health problem. In this Commission, we examine several aspects of drug-resistant tuberculosis. The traditional view that acquired resistance to antituberculous drugs is driven by poor compliance and programmatic failure is now being questioned, and several lines of evidence suggest that alternative mechanisms-including pharmacokinetic variability, induction of efflux pumps that transport the drug out of cells, and suboptimal drug penetration into tuberculosis lesions-are likely crucial to the pathogenesis of drug-resistant tuberculosis. These factors have implications for the design of new interventions, drug delivery and dosing mechanisms, and public health policy. We discuss epidemiology and transmission dynamics, including new insights into the fundamental biology of transmission, and we review the utility of newer diagnostic tools, including molecular tests and next-generation whole-genome sequencing, and their potential for clinical effectiveness. Relevant research priorities are highlighted, including optimal medical and surgical management, the role of newer and repurposed drugs (including bedaquiline, delamanid, and linezolid), pharmacokinetic and pharmacodynamic considerations, preventive strategies (such as prophylaxis in MDR and XDR contacts), palliative and patient-orientated care aspects, and medicolegal and ethical issues.
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Affiliation(s)
- Keertan Dheda
- Lung Infection and Immunity Unit, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Groote Schuur Hospital, Cape Town, South Africa.
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA
| | - Gary Maartens
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Kelly E Dooley
- Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ruth McNerney
- Lung Infection and Immunity Unit, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Groote Schuur Hospital, Cape Town, South Africa
| | - Megan Murray
- Department of Global Health and Social Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Jennifer Furin
- Department of Global Health and Social Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Edward A Nardell
- TH Chan School of Public Health, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Leslie London
- School of Public Health and Medicine, University of Cape Town, Cape Town, South Africa
| | | | - Grant Theron
- SA MRC Centre for Tuberculosis Research/DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Tygerberg, South Africa
| | - Paul van Helden
- SA MRC Centre for Tuberculosis Research/DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Tygerberg, South Africa
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Schleswig-Holstein, Germany; German Centre for Infection Research (DZIF), Partner Site Borstel, Borstel, Schleswig-Holstein, Germany
| | - Matthias Merker
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Schleswig-Holstein, Germany
| | - David Dowdy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Annelies Van Rie
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; International Health Unit, Epidemiology and Social Medicine, Faculty of Medicine, University of Antwerp, Antwerp, Belgium
| | - Gilman K H Siu
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China
| | - Jotam G Pasipanodya
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA
| | - Camilla Rodrigues
- Department of Microbiology, P.D. Hinduja National Hospital & Medical Research Centre, Mumbai, India
| | - Taane G Clark
- Faculty of Infectious and Tropical Diseases and Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Frik A Sirgel
- SA MRC Centre for Tuberculosis Research/DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Tygerberg, South Africa
| | - Aliasgar Esmail
- Lung Infection and Immunity Unit, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Groote Schuur Hospital, Cape Town, South Africa
| | - Hsien-Ho Lin
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
| | - Sachin R Atre
- Center for Clinical Global Health Education (CCGHE), Johns Hopkins University, Baltimore, MD, USA; Medical College, Hospital and Research Centre, Pimpri, Pune, India
| | - H Simon Schaaf
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Kwok Chiu Chang
- Tuberculosis and Chest Service, Centre for Health Protection, Department of Health, Hong Kong SAR, China
| | - Christoph Lange
- Division of Clinical Infectious Diseases, German Center for Infection Research, Research Center Borstel, Borstel, Schleswig-Holstein, Germany; International Health/Infectious Diseases, University of Lübeck, Lübeck, Germany; Department of Medicine, Karolinska Institute, Stockholm, Sweden; Department of Medicine, University of Namibia School of Medicine, Windhoek, Namibia
| | - Payam Nahid
- Division of Pulmonary and Critical Care, San Francisco General Hospital, University of California, San Francisco, CA, USA
| | - Zarir F Udwadia
- Pulmonary Department, Hinduja Hospital & Research Center, Mumbai, India
| | | | - Gavin J Churchyard
- Aurum Institute, Johannesburg, South Africa; School of Public Health, University of Witwatersrand, Johannesburg, South Africa; Advancing Treatment and Care for TB/HIV, South African Medical Research Council, Johannesburg, South Africa
| | - Dick Menzies
- Montreal Chest Institute, McGill University, Montreal, QC, Canada
| | - Anneke C Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Eric Nuermberger
- Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Kevin P Fennelly
- Pulmonary Clinical Medicine Section, Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Eric Goemaere
- MSF South Africa, Cape Town, South Africa; School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | | | - Marcus Low
- Treatment Action Campaign, Johannesburg, South Africa
| | | | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), MRC HIV-TB Pathogenesis and Treatment Research Unit, Durban, South Africa
| | - Robin M Warren
- SA MRC Centre for Tuberculosis Research/DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Tygerberg, South Africa
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9
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Yates TA, Tanser F, Abubakar I. Plan Beta for tuberculosis: it's time to think seriously about poorly ventilated congregate settings. Int J Tuberc Lung Dis 2016; 20:5-10. [PMID: 26688524 PMCID: PMC4677622 DOI: 10.5588/ijtld.15.0494] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Globally, the rates of decline in tuberculosis (TB) incidence are disappointing, but in line with model predictions regarding the likely impact of the DOTS strategy. Here, we review evidence from basic epidemiology, molecular epidemiology and modelling, all of which suggest that, in high-burden settings, the majority of Mycobacterium tuberculosis transmission may occur in indoor congregate settings. We argue that mass environmental modifications in these places might have a significant impact on TB control and suggest a research agenda that might inform interventions of this nature. The necessary technology exists and, critically, implementation would not be dependent on health care workers who are in short supply in the communities worst affected by TB.
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Affiliation(s)
- T A Yates
- Centre for Infectious Disease Epidemiology, Research Department of Infection and Population Health, University College London, London, UK; Wellcome Trust Africa Centre for Population Health, University of KwaZulu-Natal, Mtubatuba, South Africa
| | - F Tanser
- Wellcome Trust Africa Centre for Population Health, University of KwaZulu-Natal, Mtubatuba, South Africa; School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - I Abubakar
- Centre for Infectious Disease Epidemiology, Research Department of Infection and Population Health, University College London, London, UK; Medical Research Council Clinical Trials Unit, University College London, London, UK
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10
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Yates TA, Khan PY, Knight GM, Taylor JG, McHugh TD, Lipman M, White RG, Cohen T, Cobelens FG, Wood R, Moore DAJ, Abubakar I. The transmission of Mycobacterium tuberculosis in high burden settings. THE LANCET. INFECTIOUS DISEASES 2016; 16:227-38. [PMID: 26867464 DOI: 10.1016/s1473-3099(15)00499-5] [Citation(s) in RCA: 118] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Revised: 11/03/2015] [Accepted: 11/26/2015] [Indexed: 01/06/2023]
Abstract
Unacceptable levels of Mycobacterium tuberculosis transmission are noted in high burden settings and a renewed focus on reducing person-to-person transmission in these communities is needed. We review recent developments in the understanding of airborne transmission. We outline approaches to measure transmission in populations and trials and describe the Wells-Riley equation, which is used to estimate transmission risk in indoor spaces. Present research priorities include the identification of effective strategies for tuberculosis infection control, improved understanding of where transmission occurs and the transmissibility of drug-resistant strains, and estimates of the effect of HIV and antiretroviral therapy on transmission dynamics. When research is planned and interventions are designed to interrupt transmission, resource constraints that are common in high burden settings-including shortages of health-care workers-must be considered.
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Affiliation(s)
- Tom A Yates
- Centre for Infectious Disease Epidemiology, Research Department of Infection and Population Health, University College London, London, UK; Wellcome Trust Africa Centre for Population Health, Mtubatuba, South Africa, London School of Hygiene & Tropical Medicine, London, UK.
| | - Palwasha Y Khan
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Tuberculosis Centre, London School of Hygiene & Tropical Medicine, London, UK; Karonga Prevention Study, Chilumba, Malawi
| | - Gwenan M Knight
- Tuberculosis Centre, London School of Hygiene & Tropical Medicine, London, UK; Tuberculosis Modelling Group, London School of Hygiene & Tropical Medicine, London, UK; National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, Imperial College London, London, UK
| | - Jonathon G Taylor
- UCL Institute for Environmental Design and Engineering, Bartlett School of Environment, Energy and Resources, University College London, London, UK
| | - Timothy D McHugh
- Centre for Clinical Microbiology, University College London, London, UK
| | - Marc Lipman
- Division of Medicine, University College London, London, UK
| | - Richard G White
- Tuberculosis Centre, London School of Hygiene & Tropical Medicine, London, UK; Tuberculosis Modelling Group, London School of Hygiene & Tropical Medicine, London, UK
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Frank G Cobelens
- Department of Global Health, Academic Medical Center, Amsterdam, Netherlands; KNCV Tuberculosis Foundation, The Hague, Netherlands
| | - Robin Wood
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; Tuberculosis Centre, London School of Hygiene & Tropical Medicine, London, UK; The Desmond Tutu HIV Centre, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - David A J Moore
- Tuberculosis Centre, London School of Hygiene & Tropical Medicine, London, UK; Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK
| | - Ibrahim Abubakar
- Centre for Infectious Disease Epidemiology, Research Department of Infection and Population Health, University College London, London, UK; MRC Clinical Trials Unit at University College London, University College London, London, UK
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11
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Kasaie P, Mathema B, Kelton WD, Azman AS, Pennington J, Dowdy DW. A Novel Tool Improves Existing Estimates of Recent Tuberculosis Transmission in Settings of Sparse Data Collection. PLoS One 2015; 10:e0144137. [PMID: 26679499 PMCID: PMC4683006 DOI: 10.1371/journal.pone.0144137] [Citation(s) in RCA: 6] [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: 08/03/2015] [Accepted: 11/14/2015] [Indexed: 11/19/2022] Open
Abstract
In any setting, a proportion of incident active tuberculosis (TB) reflects recent transmission (“recent transmission proportion”), whereas the remainder represents reactivation. Appropriately estimating the recent transmission proportion has important implications for local TB control, but existing approaches have known biases, especially where data are incomplete. We constructed a stochastic individual-based model of a TB epidemic and designed a set of simulations (derivation set) to develop two regression-based tools for estimating the recent transmission proportion from five inputs: underlying TB incidence, sampling coverage, study duration, clustered proportion of observed cases, and proportion of observed clusters in the sample. We tested these tools on a set of unrelated simulations (validation set), and compared their performance against that of the traditional ‘n-1’ approach. In the validation set, the regression tools reduced the absolute estimation bias (difference between estimated and true recent transmission proportion) in the ‘n-1’ technique by a median [interquartile range] of 60% [9%, 82%] and 69% [30%, 87%]. The bias in the ‘n-1’ model was highly sensitive to underlying levels of study coverage and duration, and substantially underestimated the recent transmission proportion in settings of incomplete data coverage. By contrast, the regression models’ performance was more consistent across different epidemiological settings and study characteristics. We provide one of these regression models as a user-friendly, web-based tool. Novel tools can improve our ability to estimate the recent TB transmission proportion from data that are observable (or estimable) by public health practitioners with limited available molecular data.
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Affiliation(s)
- Parastu Kasaie
- Department of Epidemiology, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, MD, United States of America
| | - Barun Mathema
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States of America
| | - W. David Kelton
- Department of Operations, Business Analytics, and Information Systems, University of Cincinnati, Cincinnati, OH, United States of America
| | - Andrew S. Azman
- Department of Epidemiology, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, MD, United States of America
| | - Jeff Pennington
- Department of Epidemiology, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, MD, United States of America
| | - David W. Dowdy
- Department of Epidemiology, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, MD, United States of America
- * E-mail:
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12
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Desikan S, Narayanan S. Genetic markers, genotyping methods & next generation sequencing in Mycobacterium tuberculosis. Indian J Med Res 2015; 141:761-74. [PMID: 26205019 PMCID: PMC4525401 DOI: 10.4103/0971-5916.160695] [Citation(s) in RCA: 12] [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: 04/17/2014] [Indexed: 11/26/2022] Open
Abstract
Molecular epidemiology (ME) is one of the main areas in tuberculosis research which is widely used to study the transmission epidemics and outbreaks of tubercle bacilli. It exploits the presence of various polymorphisms in the genome of the bacteria that can be widely used as genetic markers. Many DNA typing methods apply these genetic markers to differentiate various strains and to study the evolutionary relationships between them. The three widely used genotyping tools to differentiate Mycobacterium tuberculosis strains are IS6110 restriction fragment length polymorphism (RFLP), spacer oligotyping (Spoligotyping), and mycobacterial interspersed repeat units - variable number of tandem repeats (MIRU-VNTR). A new prospect towards ME was introduced with the development of whole genome sequencing (WGS) and the next generation sequencing (NGS) methods, where the entire genome is sequenced that not only helps in pointing out minute differences between the various sequences but also saves time and the cost. NGS is also found to be useful in identifying single nucleotide polymorphisms (SNPs), comparative genomics and also various aspects about transmission dynamics. These techniques enable the identification of mycobacterial strains and also facilitate the study of their phylogenetic and evolutionary traits.
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Affiliation(s)
- Srinidhi Desikan
- Department of Immunology, National Institute of Research in Tuberculosis (ICMR), Chennai, India
| | - Sujatha Narayanan
- Department of Immunology, National Institute of Research in Tuberculosis (ICMR), Chennai, India
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13
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Ribeiro FKC, Pan W, Bertolde A, Vinhas SA, Peres RL, Riley L, Palaci M, Maciel EL. Genotypic and Spatial Analysis of Mycobacterium tuberculosis Transmission in a High-Incidence Urban Setting. Clin Infect Dis 2015; 61:758-66. [PMID: 25948063 DOI: 10.1093/cid/civ365] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2014] [Accepted: 04/28/2015] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Genotyping Mycobacterium tuberculosis isolates allows study of dynamics of tuberculosis transmission, while geoprocessing allows spatial analysis of clinical and epidemiological data. Here, genotyping data and spatial analysis were combined to characterize tuberculosis transmission in Vitória, Brazil, to identify distinct neighborhoods and risk factors associated with recent tuberculosis transmission. METHODS From 2003 to 2007, 503 isolates were genotyped by IS6110 restriction fragment length polymorphism (RFLP) and spoligotyping. The analysis included kernel density estimation, K-function analysis, and a t test distance analysis. Mycobacterium tuberculosis isolates belonging to identical RFLP patterns (clusters) were considered to represent recent tuberculosis infection (cases). RESULTS Of 503 genotyped isolates, 242 (48%) were categorized into 70 distinct clusters belonging to 12 RFLP families. The proportion of recent transmission was 34.2%. Kernel density maps indicated 3 areas of intense concentration of cases. K-function analysis of the largest RFLP clusters and families showed they co-localized in space. The distance analysis confirmed these results and demonstrated that unique strain patterns (controls) randomly distributed in space. A logit model identified young age, positive smear test, and lower Index of Quality of Urban Municipality as risk factors for recent transmission. The predicted probabilities for each neighborhood were mapped and identified neighborhoods with high risk for recent transmission. CONCLUSIONS Spatial and genotypic clustering of M. tuberculosis isolates revealed ongoing active transmission of tuberculosis caused by a small subset of strains in specific neighborhoods of the city. Such information provides an opportunity to target tuberculosis transmission control, such as through rigorous and more focused contact investigation programs.
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Affiliation(s)
| | - William Pan
- Duke Global Health Institute and Nicholas School of Environment, Duke University, Durham, North Carolina
| | - Adelmo Bertolde
- Department of Statistics, Federal University of Espírito Santo, Vitória, Brazil
| | - Solange Alves Vinhas
- Graduate Program in Infectious Diseases, Federal University of Espírito Santo, Vitória, Brazil
| | - Renata Lyrio Peres
- Graduate Program in Infectious Diseases, Federal University of Espírito Santo, Vitória, Brazil
| | - Lee Riley
- Division of Infectious Disease and Vaccinology, School of Public Health, University of California, Berkeley
| | - Moisés Palaci
- Graduate Program in Infectious Diseases, Federal University of Espírito Santo, Vitória, Brazil
| | - Ethel Leonor Maciel
- Graduate Program in Public Health, Federal University of Espírito Santo, Vitória, Brazil
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14
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Mears J, Abubakar I, Cohen T, McHugh TD, Sonnenberg P. Effect of study design and setting on tuberculosis clustering estimates using Mycobacterial Interspersed Repetitive Units-Variable Number Tandem Repeats (MIRU-VNTR): a systematic review. BMJ Open 2015; 5:e005636. [PMID: 25609667 PMCID: PMC4305070 DOI: 10.1136/bmjopen-2014-005636] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES To systematically review the evidence for the impact of study design and setting on the interpretation of tuberculosis (TB) transmission using clustering derived from Mycobacterial Interspersed Repetitive Units-Variable Number Tandem Repeats (MIRU-VNTR) strain typing. DATA SOURCES MEDLINE, EMBASE, CINHAL, Web of Science and Scopus were searched for articles published before 21st October 2014. REVIEW METHODS Studies in humans that reported the proportion of clustering of TB isolates by MIRU-VNTR were included in the analysis. Univariable meta-regression analyses were conducted to assess the influence of study design and setting on the proportion of clustering. RESULTS The search identified 27 eligible articles reporting clustering between 0% and 63%. The number of MIRU-VNTR loci typed, requiring consent to type patient isolates (as a proxy for sampling fraction), the TB incidence and the maximum cluster size explained 14%, 14%, 27% and 48% of between-study variation, respectively, and had a significant association with the proportion of clustering. CONCLUSIONS Although MIRU-VNTR typing is being adopted worldwide there is a paucity of data on how study design and setting may influence estimates of clustering. We have highlighted study design variables for consideration in the design and interpretation of future studies.
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Affiliation(s)
- Jessica Mears
- Department of Infection and Population Health, University College London, London, UK
| | - Ibrahim Abubakar
- Department of Infection and Population Health, University College London, London, UK
- Centre for Infectious Disease Surveillance and Control, Public Health England, London, UK
- Clinical Trials Unit, Medical Research Council, London, UK
| | - Theodore Cohen
- Division of Global Health Equity, Brigham and Women's Hospital and Department of Epidemiology, Harvard School of Public Health, Harvard University, Boston, USA
| | - Timothy D McHugh
- Department of Infection, Centre for Clinical Microbiology, University College London, London, UK
| | - Pam Sonnenberg
- Department of Infection and Population Health, University College London, London, UK
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15
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Sanderson JM, Meissner JS, Ahuja SD. Re: "Estimated rate of reactivation of latent tuberculosis infection in the United States, overall and by population subgroup". Am J Epidemiol 2014; 180:556-7. [PMID: 25122585 DOI: 10.1093/aje/kwu205] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Affiliation(s)
- Jennifer M Sanderson
- CDC/CSTE Applied Epidemiology Fellowship Program, Atlanta, GA Bureau of Tuberculosis Control, New York City Department of Health and Mental Hygiene, New York, NY
| | - Jeanne Sullivan Meissner
- Bureau of Tuberculosis Control, New York City Department of Health and Mental Hygiene, New York, NY
| | - Shama Desai Ahuja
- Bureau of Tuberculosis Control, New York City Department of Health and Mental Hygiene, New York, NY
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16
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Field N, Cohen T, Struelens MJ, Palm D, Cookson B, Glynn JR, Gallo V, Ramsay M, Sonnenberg P, MacCannell D, Charlett A, Egger M, Green J, Vineis P, Abubakar I. Strengthening the Reporting of Molecular Epidemiology for Infectious Diseases (STROME-ID): an extension of the STROBE statement. THE LANCET. INFECTIOUS DISEASES 2014; 14:341-52. [DOI: 10.1016/s1473-3099(13)70324-4] [Citation(s) in RCA: 89] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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17
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Assessment of Mycobacterium tuberculosis transmission in Oxfordshire, UK, 2007-12, with whole pathogen genome sequences: an observational study. THE LANCET RESPIRATORY MEDICINE 2014; 2:285-292. [PMID: 24717625 PMCID: PMC4571080 DOI: 10.1016/s2213-2600(14)70027-x] [Citation(s) in RCA: 161] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background Patients born outside the UK have contributed to a 20% rise in the UK’s tuberculosis incidence since 2000, but their effect on domestic transmission is not known. Here we use whole-genome sequencing to investigate the epidemiology of tuberculosis transmission in an unselected population over 6 years. Methods We identified all residents with Oxfordshire postcodes with a Mycobacterium tuberculosis culture or a clinical diagnosis of tuberculosis between Jan 1, 2007, and Dec 31, 2012, using local databases and checking against the national Enhanced Tuberculosis Surveillance database. We used Illumina technology to sequence all available M tuberculosis cultures from identified cases. Sequences were clustered by genetic relatedness and compared retrospectively with contact investigations. The first patient diagnosed in each cluster was defined as the index case, with links to subsequent cases assigned first by use of any epidemiological linkage, then by genetic distance, and then by timing of diagnosis. Findings Although we identified 384 patients with a diagnosis of tuberculosis, country of birth was known for 380 and we sequenced isolates from 247 of 269 cases with culture-confirmed disease. 39 cases were genomically linked within 13 clusters, implying 26 local transmission events. Only 11 of 26 possible transmissions had been previously identified through contact tracing. Of seven genomically confirmed household clusters, five contained additional genomic links to epidemiologically unidentified non-household members. 255 (67%) patients were born in a country with high tuberculosis incidence, conferring a local incidence of 109 cases per 100 000 population per year in Oxfordshire, compared with 3·5 cases per 100 000 per year for those born in low-incidence countries. However, patients born in the low-incidence countries, predominantly UK, were more likely to have pulmonary disease (adjusted odds ratio 1·8 [95% CI 1·2–2·9]; p=0·009), social risk factors (4·4 [2·0–9·4]; p<0·0001), and be part of a local transmission cluster (4·8 [1·6–14·8]; p=0·006). Interpretation Although inward migration has contributed to the overall tuberculosis incidence, our findings suggest that most patients born in high-incidence countries reactivate latent infection acquired abroad and are not involved in local onward transmission. Systematic screening of new entrants could further improve tuberculosis control, but it is important that health care remains accessible to all individuals, especially high-risk groups, if tuberculosis control is not to be jeopardised.
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18
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Suitability of IS6110-RFLP and MIRU-VNTR for differentiating spoligotyped drug-resistant mycobacterium tuberculosis clinical isolates from Sichuan in China. BIOMED RESEARCH INTERNATIONAL 2014; 2014:763204. [PMID: 24724099 PMCID: PMC3958788 DOI: 10.1155/2014/763204] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2013] [Revised: 01/19/2014] [Accepted: 01/19/2014] [Indexed: 11/17/2022]
Abstract
Genotypes of Mycobacterium tuberculosis complex (MTBC) vary with the geographic origin of the patients and can affect tuberculosis (TB) transmission. This study was aimed to further differentiate spoligotype-defined clusters of drug-resistant MTBC clinical isolates split in Beijing (n = 190) versus non-Beijing isolates (n = 84) from Sichuan region, the second high-burden province in China, by IS6110-restriction fragment length polymorphism (RFLP) and 24-locus MIRU-VNTRs. Among 274 spoligotyped isolates, the clustering ratio of Beijing family was 5.3% by 24-locus MIRU-VNTRs versus 2.1% by IS6110-RFLP, while none of the non-Beijing isolates were clustered by 24-locus MIRU-VNTRs versus 9.5% by IS6110-RFLP. Hence, neither the 24-locus MIRU-VNTR was sufficient enough to fully discriminate the Beijing family, nor the IS6110-RFLP for the non-Beijing isolates. A region adjusted scheme combining 12 highly discriminatory VNTR loci with IS6110-RFLP was a better alternative for typing Beijing strains in Sichuan than 24-locus MIRU-VNTRs alone. IS6110-RFLP was for the first time introduced to systematically genotype MTBC in Sichuan and we conclude that the region-adjusted scheme of 12 highly discriminative VNTRs might be a suitable alternative to 24-locus MIRU-VNTR scheme for non-Beijing strains, while the clusters of the Beijing isolates should be further subtyped using IS6110-RFLP for optimal discrimination.
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19
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Sandgren A, Schepisi MS, Sotgiu G, Huitric E, Migliori GB, Manissero D, van der Werf MJ, Girardi E. Tuberculosis transmission between foreign- and native-born populations in the EU/EEA: a systematic review. Eur Respir J 2013; 43:1159-71. [PMID: 24114966 PMCID: PMC3971120 DOI: 10.1183/09031936.00117213] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Tuberculosis (TB) control programmes of many low TB incidence countries of the European Union/European Economic Area (EU/EEA) perceive challenges in controlling TB due to high numbers of TB in migrants from high-incidence countries. To assess the extent of TB transmission from the foreign-born to the native-born population, we quantitatively investigated the dynamics of TB transmission between these populations in the EU/EEA, using published molecular epidemiological studies. We searched PubMed and EMBASE databases from 1990 to August 2012. We identified 15 studies performed during 1992–2007 covering 12,366 cases, of which median (range) 49.2% (17.7%–86.4%) were foreign-born. The proportion of clustered isolates ranged between 8.5% and 49.1% of the total number of TB cases genotyped and among these, foreign-born cases were equally or more likely to have unique isolates compared to native-born cases. One third of the clusters were “mixed”, i.e. composed of foreign- and native-born cases, involving 0–34.2% of all genotyped cases. Cross-transmission among foreign and native populations was bidirectional, with wide differences across studies. This systematic review provides evidence that TB in a foreign-born population does not have a significant influence on TB in the native population in EU/EEA. TB in foreign-born cases does not have a significant influence on TB in the native population in EU/EEAhttp://ow.ly/pTTXv
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Affiliation(s)
- Andreas Sandgren
- European Centre for Disease Prevention and Control, Stockholm, Sweden
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20
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Gilbert GL, Sintchenko V. The use of mycobacterial interspersed repetitive unit typing and whole genome sequencing to inform tuberculosis prevention and control activities. NEW SOUTH WALES PUBLIC HEALTH BULLETIN 2013; 24:10-14. [PMID: 23849021 DOI: 10.1071/nb12106] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Molecular strain typing of Mycobacterium tuberculosis has been possible for only about 20 years; it has significantly improved our understanding of the evolution and epidemiology of Mycobacterium tuberculosis and tuberculosis disease. Mycobacterial interspersed repetitive unit typing, based on 24 variable number tandem repeat unit loci, is highly discriminatory, relatively easy to perform and interpret and is currently the most widely used molecular typing system for tuberculosis surveillance. Nevertheless, clusters identified by mycobacterial interspersed repetitive unit typing sometimes cannot be confirmed or adequately defined by contact tracing and additional methods are needed. Recently, whole genome sequencing has been used to identify single nucleotide polymorphisms and other mutations, between genotypically indistinguishable isolates from the same cluster, to more accurately trace transmission pathways. Rapidly increasing speed and quality and reduced costs will soon make large scale whole genome sequencing feasible, combined with the use of sophisticated bioinformatics tools, for epidemiological surveillance of tuberculosis.
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21
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Borgdorff MW, van Soolingen D. The re-emergence of tuberculosis: what have we learnt from molecular epidemiology? Clin Microbiol Infect 2013; 19:889-901. [PMID: 23731470 DOI: 10.1111/1469-0691.12253] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Tuberculosis (TB) has re-emerged over the past two decades: in industrialized countries in association with immigration, and in Africa owing to the human immunodeficiency virus epidemic. Drug-resistant TB is a major threat worldwide. The variable and uncertain impact of TB control necessitates not only better tools (diagnostics, drugs, and vaccines), but also better insights into the natural history and epidemiology of TB. Molecular epidemiological studies over the last two decades have contributed to such insights by answering long-standing questions, such as the proportion of cases attributable to recent transmission, risk factors for recent transmission, the occurrence of multiple Mycobacterium tuberculosis infection, and the proportion of recurrent TB cases attributable to re-infection. M. tuberculosis lineages have been identified and shown to be associated with geographical origin. The Beijing genotype is strongly associated with multidrug resistance, and may have escaped from bacille Calmette-Guérin-induced immunity. DNA fingerprinting has quantified the importance of institutional transmission and laboratory cross-contamination, and has helped to focus contact investigations. Questions to be answered in the near future with whole genome sequencing include identification of chains of transmission within clusters of patients, more precise quantification of mixed infection, and transmission probabilities and rates of progression from infection to disease of various M. tuberculosis lineages, as well as possible variations in vaccine efficacy by lineage. Perhaps most importantly, dynamics in the population structure of M. tuberculosis in response to control measures in high-prevalence areas should be better understood.
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Affiliation(s)
- M W Borgdorff
- Department of Infectious Diseases, Public Health Service Amsterdam, Amsterdam, The Netherlands; Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Centre, University of Amsterdam and Centre for Infection and Immunity Amsterdam (CINIMA), Amsterdam, The Netherlands
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Nicolau I, Ling D, Tian L, Lienhardt C, Pai M. Research questions and priorities for tuberculosis: a survey of published systematic reviews and meta-analyses. PLoS One 2012; 7:e42479. [PMID: 22848764 PMCID: PMC3407095 DOI: 10.1371/journal.pone.0042479] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2012] [Accepted: 06/26/2012] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Systematic reviews are increasingly informing policies in tuberculosis (TB) care and control. They may also be a source of questions for future research. As part of the process of developing the International Roadmap for TB Research, we did a systematic review of published systematic reviews on TB, to identify research priorities that are most frequently suggested in reviews. METHODOLOGY/PRINCIPAL FINDINGS We searched EMBASE, MEDLINE, Web of Science, and the Cochrane Library for systematic reviews and meta-analyses on any aspect of TB published between 2005 and 2010. One reviewer extracted data and a second reviewer independently extracted data from a random subset of included studies. In total, 137 systematic reviews, with 141 research questions, were included in this review. We used the UK Health Research Classification System (HRCS) to help us classify the research questions and priorities. The three most common research topics were in the area of detection, screening and diagnosis of TB (32.6%), development and evaluation of treatments and therapeutic interventions (23.4%), and TB aetiology and risk factors (19.9%). The research priorities determined were mainly focused on the discovery and evaluation of bacteriological TB tests and drug-resistant TB tests and immunological tests. Other important topics of future research were genetic susceptibility linked to TB and disease determinants attributed to HIV/TB. Evaluation of drug treatments for TB, drug-resistant TB and HIV/TB were also frequently proposed research topics. CONCLUSIONS Systematic reviews are a good source of key research priorities. Findings from our survey have informed the development of the International Roadmap for TB Research by the TB Research Movement.
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Affiliation(s)
| | | | - Lulu Tian
- Emory University, Atlanta, Georgia, United States of America
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Moonan PK, Ghosh S, Oeltmann JE, Kammerer JS, Cowan LS, Navin TR. Using genotyping and geospatial scanning to estimate recent mycobacterium tuberculosis transmission, United States. Emerg Infect Dis 2012; 18:458-65. [PMID: 22377473 PMCID: PMC3309578 DOI: 10.3201/eid1803.111107] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
To determine the proportion of reported tuberculosis (TB) cases due to recent transmission in the United States, we conducted a cross-sectional study to examine culture-positive TB cases with complete genotype results (spoligotyping and 12-locus mycobacterial interspersed repetitive unit-variable-number tandem repeat typing) reported during January 2005-December 2009. Recently transmitted cases were defined as cases with matching results reported within statistically significant geospatial zones (identified by a spatial span statistic within a sliding 3-year window). Approximately 1 in 4 TB cases reported in the United States may be attributed to recent transmission. Groups at greatest risk for recent transmission appear to be men, persons born in the United States, members of a minority race or ethnic group, persons who abuse substances, and the homeless. Understanding transmission dynamics and establishing strategies for rapidly detecting recent transmission among these populations are essential for TB elimination in the United States.
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Affiliation(s)
- Patrick K Moonan
- US Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
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Kato-Maeda M, Metcalfe JZ, Flores L. Genotyping of Mycobacterium tuberculosis: application in epidemiologic studies. Future Microbiol 2011; 6:203-16. [PMID: 21366420 DOI: 10.2217/fmb.10.165] [Citation(s) in RCA: 81] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Genotyping is used to track specific isolates of Mycobacterium tuberculosis in a community. It has been successfully used in epidemiologic research (termed 'molecular epidemiology') to study the transmission dynamics of TB. In this article, we review the genetic markers used in molecular epidemiologic studies including the use of whole-genome sequencing technology. We also review the public health application of molecular epidemiologic tools.
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Affiliation(s)
- Midori Kato-Maeda
- University of California, San Francisco, Francis J Curry National Tuberculosis Center, Division of Pulmonary & Critical Care Medicine, San Francisco General Hospital, 1001 Potrero Avenue, Building 100, Room 109, Mail box 0841, San Francisco, CA 94110-0111, USA
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Reyes JF, Chan CHS, Tanaka MM. Impact of homoplasy on variable numbers of tandem repeats and spoligotypes in Mycobacterium tuberculosis. INFECTION GENETICS AND EVOLUTION 2011; 12:811-8. [PMID: 21683165 DOI: 10.1016/j.meegid.2011.05.018] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2010] [Revised: 05/21/2011] [Accepted: 05/22/2011] [Indexed: 11/24/2022]
Abstract
Homoplasy is the occurrence of genotypes that are identical by state but not by descent. It arises through a number of means including convergent and reverse evolution, and horizontal gene transfer. When using molecular markers that are based on sequences possessing a finite number of character states, such as VNTR or spoligotypes, this is an unavoidable phenomenon. Here we discuss the extent of homoplasy and its impact on inferences drawn from spoligotypes and VNTR in epidemiological studies of tuberculosis. To further explore this problem, we developed a computer simulation model combining the processes of mutation and transmission. Our results show that while the extent of homoplasy is not negligible, its effect on the proportion of isolates clustered ("n-1 method") is likely to be relatively low for spoligotyping. For VNTR-typing, homoplasy occurs at a low rate provided the number of loci used is high and the mutation rate is relatively high. However, deep phylogenetic inferences using spoligotypes or VNTRs with a small number of loci are likely to be unreliable.
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Affiliation(s)
- Josephine F Reyes
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
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26
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Weng X, Vander Heiden J, Xing Y, Liu J, Vissa V. Transmission of leprosy in Qiubei County, Yunnan, China: insights from an 8-year molecular epidemiology investigation. INFECTION GENETICS AND EVOLUTION 2010; 11:363-74. [PMID: 21129505 DOI: 10.1016/j.meegid.2010.11.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2010] [Revised: 11/19/2010] [Accepted: 11/22/2010] [Indexed: 11/25/2022]
Abstract
Leprosy continues to be endemic in parts of China. To track the occurrence of leprosy and determine at risk communities, molecular strain typing based on variable number of tandem repeats (VNTRs) was applied in Qiubei County, Wenshan Prefecture, Yunnan Province of the People's Republic of China, a multiethnic region that is home to four predominant ethnic minorities. A previous study, conducted between 2002 and 2005, provided the first descriptions of Mycobacterium leprae strains in the region. M. leprae strains in Qiubei are highly conserved, so only sufficiently polymorphic loci can distinguish strains. A balance between mutation rate and loci stability is needed, so that secondary transmissions can be identified as genotypic matches. The long incubation period of leprosy necessitated an extension of the study to assess the validity of VNTR typing and observe allelic shifts in the same multiethnic population. From 2006 to early 2010 the extension was performed to yield a cumulative total of 164 enrolled patients and 130 skin samples suitable for VNTR typing. Patient demographic information revealed that the case detection rate among certain minority populations in the county is considerably higher than the national rate. Cluster analysis of allele frequencies showed similar strain types within family groups and neighboring townships. Allele frequencies were not found to significantly differ between genders or clinical presentations. The percentage of cases showing near-matching genotypes varied with geography; showing a considerably higher rate in the northern townships. The northern townships continue to show strain types falling into the groups previously defined. Southern genotypes were distinct from those in the north, but clonal genetic relationships were indiscernible in the south. Social interactions and the physical, residential and occupational environments may be more conducive to transmission of community strains in the north.
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Affiliation(s)
- Xiaoman Weng
- Beijing Friendship Hospital--Affiliate of Capital University of Medicial Sciences, Beijing Tropical Medicine Research Institute, 95 Yong An Road, Beijing 100050, China
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Murase Y, Maeda S, Yamada H, Ohkado A, Chikamatsu K, Mizuno K, Kato S, Mitarai S. Clonal expansion of multidrug-resistant and extensively drug-resistant tuberculosis, Japan. Emerg Infect Dis 2010; 16:948-54. [PMID: 20507745 PMCID: PMC3086214 DOI: 10.3201/eid1606.091844] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
The emergence and spread of multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis (TB) has raised public health concern about global control of TB. To estimate the transmission dynamics of MDR and XDR TB, we conducted a DNA fingerprinting analysis of 55 MDR/XDR Mycobacterium tuberculosis strains isolated from TB patients throughout Japan in 2002. Twenty-one (38%) of the strains were classified into 9 clusters with geographic links, which suggests that community transmission of MDR/XDR TB is ongoing. Furthermore, the XDR M. tuberculosis strains were more likely than the non-XDR MDR strains to be clustered (71% vs. 24%; p = 0.003), suggesting that transmission plays a critical role in the new incidence of XDR TB. These findings highlight the difficulty of preventing community transmission of XDR TB by conventional TB control programs and indicate an urgent need for a more appropriate strategy to contain highly developed drug-resistant TB.
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Affiliation(s)
- Yoshiro Murase
- Molecular Epidemiology Division, The Research Institute of Tuberculosis/Japan Anti-Tuberculosis Association, Matsuyama, Tokyo, Japan.
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Thong-On A, Smittipat N, Juthayothin T, Yanai H, Yamada N, Yorsangsukkamol J, Chaiprasert A, Rienthong D, Billamas P, Palittapongarnpim P. Variable-number tandem repeats typing of Mycobacterium tuberculosis isolates with low copy numbers of IS6110 in Thailand. Tuberculosis (Edinb) 2010; 90:9-15. [DOI: 10.1016/j.tube.2009.10.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2009] [Revised: 10/22/2009] [Accepted: 10/22/2009] [Indexed: 11/29/2022]
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