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Gröschel MI, Pérez-Llanos FJ, Diel R, Vargas R, Escuyer V, Musser K, Trieu L, Meissner JS, Knorr J, Klinkenberg D, Kouw P, Homolka S, Samek W, Mathema B, van Soolingen D, Niemann S, Ahuja SD, Farhat MR. Differential rates of Mycobacterium tuberculosis transmission associate with host-pathogen sympatry. Nat Microbiol 2024:10.1038/s41564-024-01758-y. [PMID: 39090390 DOI: 10.1038/s41564-024-01758-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 06/12/2024] [Indexed: 08/04/2024]
Abstract
Several human-adapted Mycobacterium tuberculosis complex (Mtbc) lineages exhibit a restricted geographical distribution globally. These lineages are hypothesized to transmit more effectively among sympatric hosts, that is, those that share the same geographical area, though this is yet to be confirmed while controlling for exposure, social networks and disease risk after exposure. Using pathogen genomic and contact tracing data from 2,279 tuberculosis cases linked to 12,749 contacts from three low-incidence cities, we show that geographically restricted Mtbc lineages were less transmissible than lineages that have a widespread global distribution. Allopatric host-pathogen exposure, in which the restricted pathogen and host are from non-overlapping areas, had a 38% decrease in the odds of infection among contacts compared with sympatric exposures. We measure tenfold lower uptake of geographically restricted lineage 6 strains compared with widespread lineage 4 strains in allopatric macrophage infections. We conclude that Mtbc strain-human long-term coexistence has resulted in differential transmissibility of Mtbc lineages and that this differs by human population.
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Affiliation(s)
- Matthias I Gröschel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Department of Infectious Diseases and Respiratory Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.
| | - Francy J Pérez-Llanos
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- West German Genome Center, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Human Genetics, The University Hospital of Düsseldorf, Düsseldorf, Germany
| | - Roland Diel
- Institute for Epidemiology, University Medical Hospital Schleswig-Holstein, Kiel, Germany
- Lungenclinic Grosshansdorf, Airway Research Center North (ARCN), Member of the German Center for Lung Research (DZL), Grosshansdorf, Germany
| | - Roger Vargas
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Vincent Escuyer
- Wadsworth Center, New York State Department of Health, Albany, NY, USA
| | - Kimberlee Musser
- Wadsworth Center, New York State Department of Health, Albany, NY, USA
| | - Lisa Trieu
- New York City Department of Health and Mental Hygiene, New York, NY, USA
| | | | - Jillian Knorr
- New York City Department of Health and Mental Hygiene, New York, NY, USA
| | - Don Klinkenberg
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Peter Kouw
- Department of Tuberculosis, Public Health Service, Amsterdam, The Netherlands
| | - Susanne Homolka
- Diagnostic Mycobacteriology, National and Supranational Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | - Wojciech Samek
- Department of Electrical Engineering and Computer Science, Technical University Berlin, Berlin, Germany
- Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Berlin, Germany
| | - Barun Mathema
- Mailman School of Public Health, Columbia University, New York City, NY, USA
| | - Dick van Soolingen
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Shama Desai Ahuja
- New York City Department of Health and Mental Hygiene, New York, NY, USA
| | - Maha R Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA.
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2
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Wang S, Nie W, Gu Q, Wang X, Yang D, Li H, Wang P, Liao W, Huang J, Yuan Q, Zhou S, Ahmad I, Kotaro K, Chen G, Zhu B. Spread of antibiotic resistance genes in drinking water reservoirs: Insights from a deep metagenomic study using a curated database. WATER RESEARCH 2024; 256:121572. [PMID: 38621316 DOI: 10.1016/j.watres.2024.121572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/13/2024] [Accepted: 04/03/2024] [Indexed: 04/17/2024]
Abstract
The exploration of antibiotic resistance genes (ARGs) in drinking water reservoirs is an emerging field. Using a curated database, we enhanced the ARG detection and conducted a comprehensive analysis using 2.2 Tb of deep metagenomic sequencing data to determine the distribution of ARGs across 16 drinking water reservoirs and associated environments. Our findings reveal a greater diversity of ARGs in sediments than in water, underscoring the importance of extensive background surveys. Crucial ARG carriers-specifically Acinetobacter, Pseudomonas, and Mycobacterium were identified in drinking water reservoirs. Extensive analysis of the data uncovered a considerable concern for drinking water safety, particularly in regions reliant on river sources. Mobile genetic elements have been found to contribute markedly to the propagation of ARGs. The results of this research suggest that the establishment of drinking water reservoirs for supplying raw water may be an effective strategy for alleviating the spread of water-mediated ARGs.
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Affiliation(s)
- Sai Wang
- Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Shanghai Cooperative Innovation Center for Modern Seed Industry, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Wenhan Nie
- Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Shanghai Cooperative Innovation Center for Modern Seed Industry, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China; Research Center for Drug and Vaccine Development, National Institute of Infectious Diseases, Tokyo, 162-8640, Japan.
| | - Qing Gu
- Zhejiang Province Ecological and Environmental Monitoring Centre, Zhejiang Key Laboratory of Ecological and Environmental Monitoring, Forewarning and Quality Control, Hangzhou, 310012, China
| | - Xie Wang
- Southwest China Mountain Agricultural Environment Key Laboratory, Ministry of Agriculture and Rural Areas, Institute of Agricultural Resources and Environment, Sichuan Academy of Agricultural Sciences, Shizishan Rd, Chengdu, 610066, China
| | - Danping Yang
- Observation and Research Station of Ecological Restoration for Chongqing Typical Mining Areas, Ministry of Natural Resources (Chongqing Institute of Geology and Mineral Resources), Chongqing, 401120. China
| | - Hongyu Li
- Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Shanghai Cooperative Innovation Center for Modern Seed Industry, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Peihong Wang
- Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Shanghai Cooperative Innovation Center for Modern Seed Industry, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Weixue Liao
- Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Shanghai Cooperative Innovation Center for Modern Seed Industry, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jin Huang
- Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Shanghai Cooperative Innovation Center for Modern Seed Industry, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Quan Yuan
- School of Energy and Power Engineering, Xihua University, Chengdu, 610039, China
| | - Shengli Zhou
- Zhejiang Province Ecological and Environmental Monitoring Centre, Zhejiang Key Laboratory of Ecological and Environmental Monitoring, Forewarning and Quality Control, Hangzhou, 310012, China
| | - Iftikhar Ahmad
- Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Shanghai Cooperative Innovation Center for Modern Seed Industry, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China; Department of Environmental Sciences, COMSATS University Islamabad, Vehari-Campus, Vehari, 61100, Pakistan
| | - Kiga Kotaro
- Research Center for Drug and Vaccine Development, National Institute of Infectious Diseases, Tokyo, 162-8640, Japan
| | - Gongyou Chen
- Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Shanghai Cooperative Innovation Center for Modern Seed Industry, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Bo Zhu
- Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Shanghai Cooperative Innovation Center for Modern Seed Industry, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
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3
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Billows N, Phelan J, Xia D, Peng Y, Clark TG, Chang YM. Large-scale statistical analysis of Mycobacterium tuberculosis genome sequences identifies compensatory mutations associated with multi-drug resistance. Sci Rep 2024; 14:12312. [PMID: 38811658 PMCID: PMC11137121 DOI: 10.1038/s41598-024-62946-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 05/22/2024] [Indexed: 05/31/2024] Open
Abstract
Tuberculosis (TB), caused by Mycobacterium tuberculosis, has a significant impact on global health worldwide. The development of multi-drug resistant strains that are resistant to the first-line drugs isoniazid and rifampicin threatens public health security. Rifampicin and isoniazid resistance are largely underpinned by mutations in rpoB and katG respectively and are associated with fitness costs. Compensatory mutations are considered to alleviate these fitness costs and have been observed in rpoC/rpoA (rifampicin) and oxyR'-ahpC (isoniazid). We developed a framework (CompMut-TB) to detect compensatory mutations from whole genome sequences from a large dataset comprised of 18,396 M. tuberculosis samples. We performed association analysis (Fisher's exact tests) to identify pairs of mutations that are associated with drug-resistance, followed by mediation analysis to identify complementary or full mediators of drug-resistance. The analyses revealed several potential mutations in rpoC (N = 47), rpoA (N = 4), and oxyR'-ahpC (N = 7) that were considered either 'highly likely' or 'likely' to confer compensatory effects on drug-resistance, including mutations that have previously been reported and validated. Overall, we have developed the CompMut-TB framework which can assist with identifying compensatory mutations which is important for more precise genome-based profiling of drug-resistant TB strains and to further understanding of the evolutionary mechanisms that underpin drug-resistance.
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Affiliation(s)
- Nina Billows
- Royal Veterinary College, University of London, London, UK.
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
| | - Jody Phelan
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Dong Xia
- Royal Veterinary College, University of London, London, UK
| | | | - Taane G Clark
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Yu-Mei Chang
- Royal Veterinary College, University of London, London, UK
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Naidoo K, Perumal R, Cox H, Mathema B, Loveday M, Ismail N, Omar SV, Georghiou SB, Daftary A, O'Donnell M, Ndjeka N. The epidemiology, transmission, diagnosis, and management of drug-resistant tuberculosis-lessons from the South African experience. THE LANCET. INFECTIOUS DISEASES 2024:S1473-3099(24)00144-0. [PMID: 38527475 DOI: 10.1016/s1473-3099(24)00144-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/29/2024] [Accepted: 02/20/2024] [Indexed: 03/27/2024]
Abstract
Drug-resistant tuberculosis (DR-TB) threatens to derail tuberculosis control efforts, particularly in Africa where the disease remains out of control. The dogma that DR-TB epidemics are fueled by unchecked rates of acquired resistance in inadequately treated or non-adherent individuals is no longer valid in most high DR-TB burden settings, where community transmission is now widespread. A large burden of DR-TB in Africa remains undiagnosed due to inadequate access to diagnostic tools that simultaneously detect tuberculosis and screen for resistance. Furthermore, acquisition of drug resistance to new and repurposed drugs, for which diagnostic solutions are not yet available, presents a major challenge for the implementation of novel, all-oral, shortened (6-9 months) treatment. Structural challenges including poverty, stigma, and social distress disrupt engagement in care, promote poor treatment outcomes, and reduce the quality of life for people with DR-TB. We reflect on the lessons learnt from the South African experience in implementing state-of-the-art advances in diagnostic solutions, deploying recent innovations in pharmacotherapeutic approaches for rapid cure, understanding local transmission dynamics and implementing interventions to curtail DR-TB transmission, and in mitigating the catastrophic socioeconomic costs of DR-TB. We also highlight globally relevant and locally responsive research priorities for achieving DR-TB control in South Africa.
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Affiliation(s)
- Kogieleum Naidoo
- SAMRC-CAPRISA HIV/TB Pathogenesis and Treatment Research Unit, Centre for the AIDS Programme of Research in South Africa, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
| | - Rubeshan Perumal
- SAMRC-CAPRISA HIV/TB Pathogenesis and Treatment Research Unit, Centre for the AIDS Programme of Research in South Africa, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Helen Cox
- Institute of Infectious Diseases and Molecular Medicine, Wellcome Centre for Infectious Disease Research and Division of Medical Microbiology, University of Cape Town, Cape Town, South Africa
| | - Barun Mathema
- Mailman School of Public Health, Columbia University, New York City, NY, USA
| | - Marian Loveday
- South African Medical Research Council, Durban, South Africa
| | - Nazir Ismail
- School of Pathology, University of Witwatersrand, Johannesburg, South Africa
| | - Shaheed Vally Omar
- Centre for Tuberculosis, National & WHO Supranational TB Reference Laboratory, National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa
| | | | - Amrita Daftary
- SAMRC-CAPRISA HIV/TB Pathogenesis and Treatment Research Unit, Centre for the AIDS Programme of Research in South Africa, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa; School of Global Health and Dahdaleh Institute of Global Health Research, York University, Toronto, ON, Canada
| | - Max O'Donnell
- SAMRC-CAPRISA HIV/TB Pathogenesis and Treatment Research Unit, Centre for the AIDS Programme of Research in South Africa, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa; Division of Pulmonary, Allergy, and Critical Care Medicine, Columbia University Irving Medical Center, New York City, NY, USA; Department of Epidemiology, Columbia University Irving Medical Center, New York City, NY, USA
| | - Norbert Ndjeka
- TB Control and Management, Republic of South Africa National Department of Health, Pretoria, South Africa
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5
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Soto A. Prisons as boosters of tuberculosis and drug resistance tuberculosis transmission in Latin America. LANCET REGIONAL HEALTH. AMERICAS 2024; 31:100707. [PMID: 38464944 PMCID: PMC10924125 DOI: 10.1016/j.lana.2024.100707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 03/12/2024]
Affiliation(s)
- Alonso Soto
- Instituto de Investigación en Ciencias Biomédicas, Facultad de Medicina, Universidad Ricardo Palma, Lima, Peru
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6
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Utpatel C, Zavaleta M, Rojas-Bolivar D, Mühlbach A, Picoy J, Portugal W, Esteve-Solé A, Alsina L, Miotto P, Bartholomeu DC, Sanchez J, Cuadros DF, Alarcon JO, Niemann S, Huaman MA. Prison as a driver of recent transmissions of multidrug-resistant tuberculosis in Callao, Peru: a cross-sectional study. LANCET REGIONAL HEALTH. AMERICAS 2024; 31:100674. [PMID: 38500964 PMCID: PMC10945431 DOI: 10.1016/j.lana.2024.100674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 01/01/2024] [Accepted: 01/03/2024] [Indexed: 03/20/2024]
Abstract
Background We sought to identify resistance patterns and key drivers of recent multidrug-resistant tuberculosis (MDR-TB) transmission in a TB-prevalent area in Peru. Methods Cross-sectional study including MDR Mycobacterium tuberculosis complex (Mtbc) strains identified in Callao-Peru between April 2017 and February 2019. Mtbc DNA was extracted for whole genome sequencing which was used for phylogenetic inference, clustering, and resistance mutation analyses. Clusters indicative of recent transmission were defined based on a strain-to-strain distance of ≤5 (D5) single nucleotide polymorphisms (SNPs). Epidemiologic factors linked to MDR-TB clustering were analyzed using Poisson regression. Findings 171 unique MDR-Mtbc strains were included; 22 (13%) had additional fluoroquinolone resistance and were classified as pre-XDR. Six strains (3.5%) harboured bedaquiline (BDQ) resistance mutations and were classified as MDR + BDQ. 158 (92%) Mtbc strains belonged to lineage 4 and 13 (8%) to lineage 2. Using a cluster threshold of ≤5 SNPs, 98 (57%) strains were grouped in one of the 17 D5 clusters indicative of recent transmission, ranging in size from 2 to the largest cluster formed by 53 4.3.3 strains (group_1). Lineage 4.3.3 strains showed the overall highest cluster rate (43%). In multivariate analyses, current or previous imprisonment was independently associated with being part of any MDR-TB transmission clusters (adjusted prevalence ratio [aPR], 1.45; 95% CI, 1.09-1.92). Interpretation Pre-XDR-TB emerged in more than 10% of the MDR-TB strains investigated. Transmission of 4.3.3 Mtbc strains especially of the dominant group_1 clone is a major driver of the MDR-TB epidemic in Callao. Current or previous imprisonment was linked to recent MDR-TB transmissions, indicating an important role of prisons in driving the MDR-TB epidemic. Funding This work was supported in part by the ERANet-LAC Network of the European Union, Latin America and the Caribbean Countries on Joint Innovation and Research Activities, and FONDECYT. Additional support was received from Leibniz Science Campus Evolutionary Medicine of the Lung, the Deutsche Forschungsgemeinschaft (German Research Foundation, under Germany's Excellence Strategy-EXC 2167 Precision Medicine in Inflammation), and the Research Training Group 2501 TransEvo.
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Affiliation(s)
- Christian Utpatel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
| | - Milagros Zavaleta
- Centro de Investigaciones Tecnológicas, Biomedicas y Medioambientales, Callao, Peru
| | - Daniel Rojas-Bolivar
- Centro de Investigaciones Tecnológicas, Biomedicas y Medioambientales, Callao, Peru
| | - Andreas Mühlbach
- Centro de Investigaciones Tecnológicas, Biomedicas y Medioambientales, Callao, Peru
| | - Janet Picoy
- Direccion Regional de Salud del Callao, Callao, Peru
| | | | - Ana Esteve-Solé
- Allergy and Clinical Immunology Department, Hospital Sant Joan de Déu Institut de Recerca Sant Joan de Déu, Universitat de Barcelona, Barcelona, Spain
| | - Laia Alsina
- Allergy and Clinical Immunology Department, Hospital Sant Joan de Déu Institut de Recerca Sant Joan de Déu, Universitat de Barcelona, Barcelona, Spain
| | - Paolo Miotto
- Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniella C. Bartholomeu
- Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Minas Gerais, Brazil
| | - Jorge Sanchez
- Centro de Investigaciones Tecnológicas, Biomedicas y Medioambientales, Callao, Peru
| | - Diego F. Cuadros
- Department of Geography and GIS, Health Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, USA
| | - Jorge O. Alarcon
- Centro de Investigaciones Tecnológicas, Biomedicas y Medioambientales, Callao, Peru
- Epidemiology Section, Instituto de Medicina Tropical, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
- German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Moises A. Huaman
- Centro de Investigaciones Tecnológicas, Biomedicas y Medioambientales, Callao, Peru
- Department of Internal Medicine, Division of Infectious Diseases, University of Cincinnati, Cincinnati, USA
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Dekhil N, Mardassi H. On the onset and dispersal of a major MDR TB clone among HIV-negative patients, Tunisia. Antimicrob Resist Infect Control 2024; 13:18. [PMID: 38355557 PMCID: PMC10865554 DOI: 10.1186/s13756-023-01360-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 12/28/2023] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND To carry out a whole genome sequencing (WGS)-based investigation on the emergence and spread of the largest multidrug-resistant tuberculosis (MDR TB) outbreak that has been thriving among HIV-negative patients, Tunisia, since the early 2000s. METHODS We performed phylogeographic analyses and molecular dating based on a WGS dataset representing 68 unique Mycobacterium tuberculosis isolates, covering almost the entire MDR TB outbreak for the time period 2001-2016. RESULTS The data indicate that the ancestor of the MDR TB outbreak emerged in the region of Bizerte, as early as 1974 (95% CI 1951-1985), from where it spread to other regions by 1992 (95% CI 1980-1996). Analysis of a minimum spanning tree based on core genome Multilocus Sequence Typing (cgMLST) uncovered the early spill-over of the fitness-compensated MDR TB strain from the prison into the general population. Indeed, cases with history of incarceration were found to be directly or indirectly linked to up to 22 new outbreak cases (32.35%) among the non-imprisoned population. By around 2008, the MDR TB outbreak strain had acquired additional resistance, leading to an XDR phenotype. CONCLUSIONS WGS allowed refining our understanding of the emergence and evolution of the largest MDR TB outbreak in Tunisia, whose causative strain has been circulating silently for almost 26 years before. Our study lends further support to the critical role of prisons-related cases in the early spread of the outbreak among the general population. The shift to an XDR phenotype of such an epidemic clone prompts an urgent need to undertake drastic control measures.
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Affiliation(s)
- Naira Dekhil
- Unit of Typing and Genetics of Mycobacteria, Laboratory of Molecular Microbiology, Vaccinology, and Biotechnology Development, Pasteur Institute, Tunis, University of Tunis El Manar, Tunis, Tunisia.
| | - Helmi Mardassi
- Unit of Typing and Genetics of Mycobacteria, Laboratory of Molecular Microbiology, Vaccinology, and Biotechnology Development, Pasteur Institute, Tunis, University of Tunis El Manar, Tunis, Tunisia.
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8
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Brunner VM, Fowler PW. Compensatory mutations are associated with increased in vitro growth in resistant clinical samples of Mycobacterium tuberculosis. Microb Genom 2024; 10:001187. [PMID: 38315172 PMCID: PMC10926696 DOI: 10.1099/mgen.0.001187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 01/11/2024] [Indexed: 02/07/2024] Open
Abstract
Mutations in Mycobacterium tuberculosis associated with resistance to antibiotics often come with a fitness cost for the bacteria. Resistance to the first-line drug rifampicin leads to lower competitive fitness of M. tuberculosis populations when compared to susceptible populations. This fitness cost, introduced by resistance mutations in the RNA polymerase, can be alleviated by compensatory mutations (CMs) in other regions of the affected protein. CMs are of particular interest clinically since they could lock in resistance mutations, encouraging the spread of resistant strains worldwide. Here, we report the statistical inference of a comprehensive set of CMs in the RNA polymerase of M. tuberculosis, using over 70 000 M. tuberculosis genomes that were collated as part of the CRyPTIC project. The unprecedented size of this data set gave the statistical tests more power to investigate the association of putative CMs with resistance-conferring mutations. Overall, we propose 51 high-confidence CMs by means of statistical association testing and suggest hypotheses for how they exert their compensatory mechanism by mapping them onto the protein structure. In addition, we were able to show an association of CMs with higher in vitro growth densities, and hence presumably with higher fitness, in resistant samples in the more virulent M. tuberculosis lineage 2. Our results suggest the association of CM presence with significantly higher in vitro growth than for wild-type samples, although this association is confounded with lineage and sub-lineage affiliation. Our findings emphasize the integral role of CMs and lineage affiliation in resistance spread and increases the urgency of antibiotic stewardship, which implies accurate, cheap and widely accessible diagnostics for M. tuberculosis infections to not only improve patient outcomes but also prevent the spread of resistant strains.
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Affiliation(s)
| | - Philip W. Fowler
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- National Institute of Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Headley Way, Oxford, UK
- Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK
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9
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Conkle-Gutierrez D, Ramirez-Busby SM, Gorman BM, Elghraoui A, Hoffner S, Elmaraachli W, Valafar F. Novel and reported compensatory mutations in rpoABC genes found in drug resistant tuberculosis outbreaks. Front Microbiol 2024; 14:1265390. [PMID: 38260909 PMCID: PMC10800992 DOI: 10.3389/fmicb.2023.1265390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 12/19/2023] [Indexed: 01/24/2024] Open
Abstract
Background Rifampicin (RIF) is a key first-line drug used to treat tuberculosis, a primarily pulmonary disease caused by Mycobacterium tuberculosis. RIF resistance is caused by mutations in rpoB, at the cost of slower growth and reduced transcription efficiency. Antibiotic resistance to RIF is prevalent despite this fitness cost. Compensatory mutations in rpoABC genes have been shown to alleviate the fitness cost of rpoB:S450L, explaining how RIF resistant strains harbor this mutation can spread so rapidly. Unfortunately, the full set of RIF compensatory mutations is still unknown, particularly those compensating for rarer RIF resistance mutations. Objectives We performed an association study on a globally representative set of 4,309 whole genome sequenced clinical M. tuberculosis isolates to identify novel putative compensatory mutations, determine the prevalence of known and previously reported putative compensatory mutations, and determine which RIF resistance markers associate with these compensatory mutations. Results and conclusions Of the 1,079 RIF resistant isolates, 638 carried previously reported putative and high-probability compensatory mutations. Our strict criteria identified 46 additional mutations in rpoABC for which no strong prior evidence of their compensatory role exists. Of these, 35 have previously been reported. As such, our independent corroboration adds to the mounting evidence that these 35 also carry a compensatory role. The remaining 11 are novel putative compensatory markers, reported here for the first time. Six of these 11 novel putative compensatory mutations had two or more mutation events. Most compensatory mutations appear to be specifically compensating for the fitness loss due to rpoB:S450L. However, an outbreak of 22 closely related isolates each carried three rpoB mutations, the rare RIFR markers D435G and L452P and the putative compensatory mutation I1106T. This suggests compensation may require specific combinations of rpoABC mutations. Here, we report only mutations that met our very strict criteria. It is highly likely that many additional rpoABC mutations compensate for rare resistance-causing mutations and therefore did not carry the statistical power to be reported here. These findings aid in the identification of RIF resistant M. tuberculosis strains with restored fitness, which pose a greater risk of causing resistant outbreaks.
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Affiliation(s)
- Derek Conkle-Gutierrez
- Laboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, United States
| | - Sarah M. Ramirez-Busby
- Laboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, United States
| | - Bria M. Gorman
- Laboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, United States
| | - Afif Elghraoui
- Laboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, United States
| | - Sven Hoffner
- Laboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, United States
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | - Wael Elmaraachli
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of California, San Diego, San Diego, CA, United States
| | - Faramarz Valafar
- Laboratory for Pathogenesis of Clinical Drug Resistance and Persistence, San Diego State University, San Diego, CA, United States
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Walter KS, Cohen T, Mathema B, Colijn C, Sobkowiak B, Comas I, Goig GA, Croda J, Andrews JR. Signatures of transmission in within-host M. tuberculosis variation. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.28.23300451. [PMID: 38234741 PMCID: PMC10793532 DOI: 10.1101/2023.12.28.23300451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Background Because M. tuberculosis evolves slowly, transmission clusters often contain multiple individuals with identical consensus genomes, making it difficult to reconstruct transmission chains. Finding additional sources of shared M. tuberculosis variation could help overcome this problem. Previous studies have reported M. tuberculosis diversity within infected individuals; however, whether within-host variation improves transmission inferences remains unclear. Methods To evaluate the transmission information present in within-host M. tuberculosis variation, we re-analyzed publicly available sequence data from three household transmission studies, using household membership as a proxy for transmission linkage between donor-recipient pairs. Findings We found moderate levels of minority variation present in M. tuberculosis sequence data from cultured isolates that varied significantly across studies (mean: 6, 7, and 170 minority variants above a 1% minor allele frequency threshold, outside of PE/PPE genes). Isolates from household members shared more minority variants than did isolates from unlinked individuals in the three studies (mean 98 shared minority variants vs. 10; 0.8 vs. 0.2, and 0.7 vs. 0.2, respectively). Shared within-host variation was significantly associated with household membership (OR: 1.51 [1.30,1.71], for one standard deviation increase in shared minority variants). Models that included shared within-host variation improved the accuracy of predicting household membership in all three studies as compared to models without within-host variation (AUC: 0.95 versus 0.92, 0.99 versus 0.95, and 0.93 versus 0.91). Interpretation Within-host M. tuberculosis variation persists through culture and could enhance the resolution of transmission inferences. The substantial differences in minority variation recovered across studies highlights the need to optimize approaches to recover and incorporate within-host variation into automated phylogenetic and transmission inference. Funding NIAID: 5K01AI173385.
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Affiliation(s)
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA
| | - Barun Mathema
- Department of Epidemiology, Columbia University Mailman School of Public Health; New York, United States
| | - Caroline Colijn
- Department of Mathematics, Simon Fraser University; Burnaby, Canada
| | - Benjamin Sobkowiak
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA
| | - Iñaki Comas
- Institute of Biomedicine of Valencia (CSIC), Valencia, Spain
| | - Galo A Goig
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Julio Croda
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA
- Federal University of Mato Grosso do Sul - UFMS, Campo Grande, MS, Brazil
- Oswaldo Cruz Foundation Mato Grosso do Sul, Mato Grosso do Sul, Brazil
| | - Jason R Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
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11
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Ogunlana L, Kaur D, Shaw LP, Jangir P, Walsh T, Uphoff S, MacLean RC. Regulatory fine-tuning of mcr-1 increases bacterial fitness and stabilises antibiotic resistance in agricultural settings. THE ISME JOURNAL 2023; 17:2058-2069. [PMID: 37723338 PMCID: PMC10579358 DOI: 10.1038/s41396-023-01509-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 08/18/2023] [Accepted: 09/01/2023] [Indexed: 09/20/2023]
Abstract
Antibiotic resistance tends to carry fitness costs, making it difficult to understand how resistance can be maintained in the absence of continual antibiotic exposure. Here we investigate this problem in the context of mcr-1, a globally disseminated gene that confers resistance to colistin, an agricultural antibiotic that is used as a last resort for the treatment of multi-drug resistant infections. Here we show that regulatory evolution has fine-tuned the expression of mcr-1, allowing E. coli to reduce the fitness cost of mcr-1 while simultaneously increasing colistin resistance. Conjugative plasmids have transferred low-cost/high-resistance mcr-1 alleles across an incredible diversity of E. coli strains, further stabilising mcr-1 at the species level. Regulatory mutations were associated with increased mcr-1 stability in pig farms following a ban on the use of colistin as a growth promoter that decreased colistin consumption by 90%. Our study shows how regulatory evolution and plasmid transfer can combine to stabilise resistance and limit the impact of reducing antibiotic consumption.
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Affiliation(s)
- Lois Ogunlana
- Department of Biology, University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK
| | - Divjot Kaur
- Department of Biology, University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK
| | - Liam P Shaw
- Department of Biology, University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK
- Department of Biosciences, Durham University, Stockton Road, Durham, DH1 3LE, UK
| | - Pramod Jangir
- Department of Biology, University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK
| | - Timothy Walsh
- Department of Biology, University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK
- Ineos Oxford Institute for Antimicrobial Research, University of Oxford, South Parks Road, Oxford, OX1 3RE, UK
| | - Stephan Uphoff
- Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK
| | - R C MacLean
- Department of Biology, University of Oxford, 11a Mansfield Road, Oxford, OX1 3SZ, UK.
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12
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Narayan A, Salindri AD, Keshavjee S, Muyoyeta M, Velen K, Rueda ZV, Croda J, Charalambous S, García-Basteiro AL, Shenoi SV, Gonçalves CCM, Ferreira da Silva L, Possuelo LG, Aguirre S, Estigarribia G, Sequera G, Grandjean L, Telisinghe L, Herce ME, Dockhorn F, Altice FL, Andrews JR. Prioritizing persons deprived of liberty in global guidelines for tuberculosis preventive treatment. PLoS Med 2023; 20:e1004288. [PMID: 37788448 PMCID: PMC10547494 DOI: 10.1371/journal.pmed.1004288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/05/2023] Open
Abstract
In this Policy Forum piece, Aditya Narayan and colleagues discuss the challenges and opportunities for tuberculosis preventive treatment in carceral settings.
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Affiliation(s)
- Aditya Narayan
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, United States of America
| | - Argita D. Salindri
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, United States of America
| | - Salmaan Keshavjee
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Global Health Equity, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Monde Muyoyeta
- Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia
| | - Kavindhran Velen
- Implementation Division, The Aurum Institute, Johannesburg, South Africa
| | - Zulma V. Rueda
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada
- Research Department, School of Medicine, Universidad Pontificia Bolivariana, Medellin, Colombia
| | - Julio Croda
- School of Medicine, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
- Department of Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, Connecticut, United States of America
- Oswaldo Cruz Foundation, Campo Grande, Brazil
| | - Salome Charalambous
- Implementation Division, The Aurum Institute, Johannesburg, South Africa
- Wits School of Public Health, Johannesburg, South Africa
| | - Alberto L. García-Basteiro
- ISGlobal, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
- Manhiça Health Research Center, Maputo, Mozambique
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Barcelona, Spain
| | - Sheela V. Shenoi
- Department of Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, Connecticut, United States of America
| | | | | | - Lia G. Possuelo
- Department of Life Sciences, Santa Cruz do Sul University, Santa Cruz do Sul, Brazil
| | - Sarita Aguirre
- National Tuberculosis Control Program, Ministry of Public Health and Social Welfare (MSPyBS), Asunción, Paraguay
| | | | - Guillermo Sequera
- Department of Public Health, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, Asunción, Paraguay
| | - Louis Grandjean
- Department of Infection, Immunity and Inflammation, Institute of Child Health, University College London, London, United Kingdom
| | - Lily Telisinghe
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Michael E. Herce
- Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Fernanda Dockhorn
- Ministry of Health, Health and Environmental Surveillance Secretariat, General Coordination for Tuberculosis, Endemic Mycoses and Non-Tuberculous Mycobacteria Surveillance, Brasília, (DF) Brazil
| | - Frederick L. Altice
- Department of Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, Connecticut, United States of America
| | - Jason R. Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, United States of America
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13
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Song Z, Liu C, He W, Pei S, Liu D, Cao X, Wang Y, He P, Zhao B, Ou X, Xia H, Wang S, Zhao Y. Insight into the drug-resistant characteristics and genetic diversity of multidrug-resistant Mycobacterium tuberculosis in China. Microbiol Spectr 2023; 11:e0132423. [PMID: 37732780 PMCID: PMC10581218 DOI: 10.1128/spectrum.01324-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 07/16/2023] [Indexed: 09/22/2023] Open
Abstract
Multidrug-resistant tuberculosis (MDR-TB) has a severe impact on public health. To investigate the drug-resistant profile, compensatory mutations and genetic variations among MDR-TB isolates, a total of 546 MDR-TB isolates from China underwent drug-susceptibility testing and whole genome sequencing for further analysis. The results showed that our isolates have a high rate of fluoroquinolone resistance (45.60%, 249/546) and a low proportion of conferring resistance to bedaquiline, clofazimine, linezolid, and delamanid. The majority of MDR-TB isolates (77.66%, 424/546) belong to Lineage 2.2.1, followed by Lineage 4.5 (6.41%, 35/546), and the Lineage 2 isolates have a strong association with pre-XDR/XDR-TB (P < 0.05) in our study. Epidemic success analysis using time-scaled haplotypic density (THD) showed that clustered isolates outperformed non-clustered isolates. Compensatory mutations happened in rpoA, rpoC, and non-RRDR of rpoB genes, which were found more frequently in clusters and were associated with the increase of THD index, suggesting that increased bacterial fitness was associated with MDR-TB transmission. In addition, the variants in resistance associated genes in MDR isolates are mainly focused on single nucleotide polymorphism mutations, and only a few genes have indel variants, such as katG, ethA. We also found some genes underwent indel variation correlated with the lineage and sub-lineage of isolates, suggesting the selective evolution of different lineage isolates. Thus, this analysis of the characterization and genetic diversity of MDR isolates would be helpful in developing effective strategies for treatment regimens and tailoring public interventions. IMPORTANCE Multidrug-resistant tuberculosis (MDR-TB) is a serious obstacle to tuberculosis prevention and control in China. This study provides insight into the drug-resistant characteristics of MDR combined with phenotypic drug-susceptibility testing and whole genome sequencing. The compensatory mutations and epidemic success analysis were analyzed by time-scaled haplotypic density (THD) method, suggesting clustered isolates and compensatory mutations are associated with MDR-TB transmission. In addition, the insertion and deletion variants happened in some genes, which are associated with the lineage and sub-lineage of isolates, such as the mpt64 gene. This study offered a valuable reference and increased understanding of MDR-TB in China, which could be crucial for achieving the objective of precision medicine in the prevention and treatment of MDR-TB.
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Affiliation(s)
- Zexuan Song
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chunfa Liu
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wencong He
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shaojun Pei
- School of Public Health, Peking University, Beijing, China
| | - Dongxin Liu
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaolong Cao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yiting Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ping He
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bing Zhao
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xichao Ou
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hui Xia
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shengfen Wang
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanlin Zhao
- National Tuberculosis Reference Laboratory, Chinese Center for Disease Control and Prevention, Beijing, China
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14
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Li M, Lu L, Jiang Q, Jiang Y, Yang C, Li J, Zhang Y, Zou J, Li Y, Dai W, Hong J, Takiff H, Shen X, Guo X, Yuan Z, Gao Q. Genotypic and spatial analysis of transmission dynamics of tuberculosis in Shanghai, China: a 10-year prospective population-based surveillance study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 38:100833. [PMID: 37790084 PMCID: PMC10544272 DOI: 10.1016/j.lanwpc.2023.100833] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/02/2023] [Accepted: 06/15/2023] [Indexed: 10/05/2023]
Abstract
Background With improved tuberculosis (TB) control programs, the incidence of TB in China declined dramatically over the past few decades, but recently the rate of decrease has slowed, especially in large cities such as Shanghai. To help formulate strategies to further reduce TB incidence, we performed a 10-year study in Songjiang, a district of Shanghai, to delineate the characteristics, transmission patterns, and dynamic changes of the local TB burden. Methods We conducted a population-based study of culture-positive pulmonary TB patients diagnosed in Songjiang during 2011-2020. Genomic clusters were defined with a threshold distance of 12-single-nucleotide-polymorphisms based on whole-genome sequencing, and risk factors for clustering were identified by logistic regression. Transmission inference was performed using phybreak. The distances between the residences of patients were compared to the genomic distances of their isolates. Spatial patient hotspots were defined with kernel density estimation. Findings Of 2212 enrolled patients, 74.7% (1652/2212) were internal migrants. The clustering rate (25.2%, 558/2212) and spatial concentrations of clustered and unclustered patients were unchanged over the study period. Migrants had significantly higher TB rates but less clustering than residents. Clustering was highest in male migrants, younger patients and both residents and migrants employed in physical labor. Only 22.1% of transmission events occurred between residents and migrants, with residents more likely to transmit to migrants. The clustering risk decreased rapidly with increasing distances between patient residences, but more than half of clustered patient pairs lived ≥5 km apart. Epidemiologic links were identified for only 15.6% of clustered patients, mostly in close contacts. Interpretation Although some of the TB in Songjiang's migrant population is caused by strains brought by infected migrants, local, recent transmission is an important driver of the TB burden. These results suggest that further reductions in TB incidence require novel strategies to detect TB early and interrupt urban transmission. Funding Shanghai Municipal Science and Technology Major Project (ZD2021CY001), National Natural Science Foundation of China (82272376), National Research Council of Science and Technology Major Project of China (2017ZX10201302-006).
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Affiliation(s)
- Meng Li
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Liping Lu
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Qi Jiang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
- School of Public Health, Renmin Hospital Public Health Research Institute, Wuhan University, Wuhan, China
| | - Yuan Jiang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
- Shanghai Institute of Preventive Medicine, Shanghai, China
| | - Chongguang Yang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Jing Li
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
- Shanghai Institute of Preventive Medicine, Shanghai, China
| | - Yangyi Zhang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
- Shanghai Institute of Preventive Medicine, Shanghai, China
| | - Jinyan Zou
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Yong Li
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Wenqi Dai
- Department of Clinical Laboratory, Songjiang District Central Hospital, Shanghai, China
| | - Jianjun Hong
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Howard Takiff
- Laboratorio de Genética Molecular, CMBC, Instituto Venezolano de Investigaciones Científicas, IVIC, Caracas, Venezuela
| | - Xin Shen
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
- Shanghai Institute of Preventive Medicine, Shanghai, China
| | - Xiaoqin Guo
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Zhengan Yuan
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
- Shanghai Institute of Preventive Medicine, Shanghai, China
| | - Qian Gao
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
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15
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Goig GA, Menardo F, Salaam-Dreyer Z, Dippenaar A, Streicher EM, Daniels J, Reuter A, Borrell S, Reinhard M, Doetsch A, Beisel C, Warren RM, Cox H, Gagneux S. Effect of compensatory evolution in the emergence and transmission of rifampicin-resistant Mycobacterium tuberculosis in Cape Town, South Africa: a genomic epidemiology study. THE LANCET. MICROBE 2023; 4:e506-e515. [PMID: 37295446 PMCID: PMC10319636 DOI: 10.1016/s2666-5247(23)00110-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/26/2023] [Accepted: 03/01/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Experimental data show that drug-resistance-conferring mutations are often associated with a decrease in the replicative fitness of bacteria in vitro, and that this fitness cost can be mitigated by compensatory mutations; however, the role of compensatory evolution in clinical settings is less clear. We assessed whether compensatory evolution was associated with increased transmission of rifampicin-resistant tuberculosis in Khayelitsha, Cape Town, South Africa. METHODS We did a genomic epidemiological study by analysing available M tuberculosis isolates and their associated clinical data from individuals routinely diagnosed with rifampicin-resistant tuberculosis in primary care and hospitals in Khayelitsha, Cape Town, South Africa. Isolates were collected as part of a previous study. All individuals diagnosed with rifampicin-resistant tuberculosis and with linked biobanked specimens were included in this study. We applied whole-genome sequencing, Bayesian reconstruction of transmission trees, and phylogenetic multivariable regression analysis to identify individual and bacterial factors associated with the transmission of rifampicin-resistant M tuberculosis strains. FINDINGS Between Jan 1, 2008, and Dec 31, 2017, 2161 individuals were diagnosed with multidrug-resistant or rifampicin-resistant tuberculosis in Khayelitsha, Cape Town, South Africa. Whole-genome sequences were available for 1168 (54%) unique individual M tuberculosis isolates. Compensatory evolution was associated with smear-positive pulmonary disease (adjusted odds ratio 1·49, 95% CI 1·08-2·06) and a higher number of drug-resistance-conferring mutations (incidence rate ratio 1·38, 95% CI 1·28-1·48). Compensatory evolution was also associated with increased transmission of rifampicin-resistant disease between individuals (adjusted odds ratio 1·55; 95% CI 1·13-2·12), independent of other patient and bacterial factors. INTERPRETATION Our findings suggest that compensatory evolution enhances the in vivo fitness of drug-resistant M tuberculosis genotypes, both within and between patients, and that the in vitro replicative fitness of rifampicin-resistant M tuberculosis measured in the laboratory correlates with the bacterial fitness measured in clinical settings. These results emphasise the importance of enhancing surveillance and monitoring efforts to prevent the emergence of highly transmissible clones capable of rapidly accumulating new drug resistance mutations. This concern becomes especially crucial at present, because treatment regimens incorporating novel drugs are being implemented. FUNDING Funding for this study was provided by a Swiss and South Africa joint research award (grant numbers 310030_188888, CRSII5_177163, and IZLSZ3_170834), the European Research Council (grant number 883582), and a Wellcome Trust fellowship (to HC; reference number 099818/Z/12/Z). ZS-D was funded through a PhD scholarship from the South African National Research Foundation and RMW was funded through the South African Medical Research Council.
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Affiliation(s)
- Galo A Goig
- Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland.
| | - Fabrizio Menardo
- Department of Plant and Microbial Biology, University of Zürich, Zürich, Switzerland
| | - Zubeida Salaam-Dreyer
- Division of Medical Microbiology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Anzaan Dippenaar
- Tuberculosis Omics Research Consortium, Family Medicine and Population Health, Institute of Global Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Elizabeth M Streicher
- Department of Science and Innovation - National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa; South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Johnny Daniels
- Médecins Sans Frontières, Khayelitsha, Cape Town, South Africa
| | - Anja Reuter
- Médecins Sans Frontières, Khayelitsha, Cape Town, South Africa
| | - Sonia Borrell
- Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Miriam Reinhard
- Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Anna Doetsch
- Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Christian Beisel
- Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule Zürich, Zürich, Swizterland
| | - Robin M Warren
- Department of Science and Innovation - National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Stellenbosch, South Africa; South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Helen Cox
- Division of Medical Microbiology, Department of Pathology, University of Cape Town, Cape Town, South Africa; Institute of Infectious Disease and Molecular Medicine and Wellcome Centre for Infectious Disease Research, University of Cape Town, Cape Town, South Africa
| | - Sebastien Gagneux
- Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
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16
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Loiseau C, Windels EM, Gygli SM, Jugheli L, Maghradze N, Brites D, Ross A, Goig G, Reinhard M, Borrell S, Trauner A, Dötsch A, Aspindzelashvili R, Denes R, Reither K, Beisel C, Tukvadze N, Avaliani Z, Stadler T, Gagneux S. The relative transmission fitness of multidrug-resistant Mycobacterium tuberculosis in a drug resistance hotspot. Nat Commun 2023; 14:1988. [PMID: 37031225 PMCID: PMC10082831 DOI: 10.1038/s41467-023-37719-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/28/2023] [Indexed: 04/10/2023] Open
Abstract
Multidrug-resistant tuberculosis (MDR-TB) is among the most frequent causes of death due to antimicrobial resistance. Although only 3% of global TB cases are MDR, geographical hotspots with up to 40% of MDR-TB have been observed in countries of the former Soviet Union. While the quality of TB control and patient-related factors are known contributors to such hotspots, the role of the pathogen remains unclear. Here we show that in the country of Georgia, a known hotspot of MDR-TB, MDR Mycobacterium tuberculosis strains of lineage 4 (L4) transmit less than their drug-susceptible counterparts, whereas most MDR strains of L2 suffer no such defect. Our findings further indicate that the high transmission fitness of these L2 strains results from epistatic interactions between the rifampicin resistance-conferring mutation RpoB S450L, compensatory mutations in the RNA polymerase, and other pre-existing genetic features of L2/Beijing clones that circulate in Georgia. We conclude that the transmission fitness of MDR M. tuberculosis strains is heterogeneous, but can be as high as drug-susceptible forms, and that such highly drug-resistant and transmissible strains contribute to the emergence and maintenance of hotspots of MDR-TB. As these strains successfully overcome the metabolic burden of drug resistance, and given the ongoing rollout of new treatment regimens against MDR-TB, proper surveillance should be implemented to prevent these strains from acquiring resistance to the additional drugs.
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Affiliation(s)
- Chloé Loiseau
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Etthel M Windels
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
| | - Sebastian M Gygli
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Levan Jugheli
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Nino Maghradze
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Daniela Brites
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Amanda Ross
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Galo Goig
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Miriam Reinhard
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Sonia Borrell
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Andrej Trauner
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Anna Dötsch
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | | | - Rebecca Denes
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Klaus Reither
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Christian Beisel
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Nestani Tukvadze
- Swiss Tropical and Public Health Institute, Allschwil, 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
| | - Tanja Stadler
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
- University of Basel, Basel, Switzerland.
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17
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Charalambous S, Velen K, Rueda Z, Croda J, Herce ME, Shenoi SV, Altice FL, Muyoyeta M, Telisinghe L, Grandjean L, Keshavjee S, Andrews JR. Scaling up evidence-based approaches to tuberculosis screening in prisons. Lancet Public Health 2023; 8:e305-e310. [PMID: 36780916 DOI: 10.1016/s2468-2667(23)00002-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 12/09/2022] [Accepted: 12/20/2022] [Indexed: 02/12/2023]
Abstract
People deprived of liberty have among the highest rates of tuberculosis globally. The incidence of tuberculosis is ten times greater than the incidence of tuberculosis in the general population. In 2021, WHO updated its guidance to strongly recommend systematic screening for tuberculosis in prisons and penitentiary systems. Which case-finding strategies should be adopted, and how to effectively implement these strategies in these settings, will be crucial questions facing ministries of health and justice. In this Viewpoint, we review the evidence base for tuberculosis screening and diagnostic strategies in prisons, highlighting promising approaches and knowledge gaps. Drawing upon past experiences of implementing active case-finding and care programmes in settings with a high tuberculosis burden, we discuss challenges and opportunities for improving the tuberculosis diagnosis and treatment cascade in these settings. We argue that improved transparency in reporting of tuberculosis notifications and outcomes in prisons and renewed focus and resourcing from WHO and other stakeholders will be crucial for building the commitment and investments needed from countries to address the continued crisis of tuberculosis in prisons.
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Affiliation(s)
- Salome Charalambous
- The Aurum Institute, Johannesburg, South Africa; School of Public Health, Wits University, Johannesburg, South Africa; Division of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, CT, USA.
| | | | - Zulma Rueda
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MT, Canada; School of Medicine, Universidad Pontificia Bolivariana, Medellin, Colombia
| | - Julio Croda
- Division of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, CT, USA; Departamento de Clínica Médica, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil; Fiocruz Mato Grosso do Sul, Campo Grade, Brazil
| | - Michael E Herce
- Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Sheela V Shenoi
- Division of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, CT, USA; Section of Infectious Diseases, School of Medicine, Yale University, New Haven, CT, USA; University of Malaya, Centre of Excellence on Research in AIDS, Kuala Lumpur, Malaysia
| | - Frederick L Altice
- Division of Epidemiology of Microbial Diseases, School of Public Health, Yale University, New Haven, CT, USA; Section of Infectious Diseases, School of Medicine, Yale University, New Haven, CT, USA; University of Malaya, Centre of Excellence on Research in AIDS, Kuala Lumpur, Malaysia
| | - Monde Muyoyeta
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Lily Telisinghe
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Louis Grandjean
- Department of Infection, Immunity and Inflammation, Institute of Child Health, University College London, UK
| | - Salmaan Keshavjee
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA; Division of Global Health Equity, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jason R Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, USA
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18
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Domínguez J, Boeree MJ, Cambau E, Chesov D, Conradie F, Cox V, Dheda K, Dudnyk A, Farhat MR, Gagneux S, Grobusch MP, Gröschel MI, Guglielmetti L, Kontsevaya I, Lange B, van Leth F, Lienhardt C, Mandalakas AM, Maurer FP, Merker M, Miotto P, Molina-Moya B, Morel F, Niemann S, Veziris N, Whitelaw A, Horsburgh CR, Lange C. Clinical implications of molecular drug resistance testing for Mycobacterium tuberculosis: a 2023 TBnet/RESIST-TB consensus statement. THE LANCET. INFECTIOUS DISEASES 2023; 23:e122-e137. [PMID: 36868253 DOI: 10.1016/s1473-3099(22)00875-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/16/2022] [Accepted: 12/16/2022] [Indexed: 03/05/2023]
Abstract
Drug-resistant tuberculosis is a substantial health-care concern worldwide. Despite culture-based methods being considered the gold standard for drug susceptibility testing, molecular methods provide rapid information about the Mycobacterium tuberculosis mutations associated with resistance to anti-tuberculosis drugs. This consensus document was developed on the basis of a comprehensive literature search, by the TBnet and RESIST-TB networks, about reporting standards for the clinical use of molecular drug susceptibility testing. Review and the search for evidence included hand-searching journals and searching electronic databases. The panel identified studies that linked mutations in genomic regions of M tuberculosis with treatment outcome data. Implementation of molecular testing for the prediction of drug resistance in M tuberculosis is key. Detection of mutations in clinical isolates has implications for the clinical management of patients with multidrug-resistant or rifampicin-resistant tuberculosis, especially in situations when phenotypic drug susceptibility testing is not available. A multidisciplinary team including clinicians, microbiologists, and laboratory scientists reached a consensus on key questions relevant to molecular prediction of drug susceptibility or resistance to M tuberculosis, and their implications for clinical practice. This consensus document should help clinicians in the management of patients with tuberculosis, providing guidance for the design of treatment regimens and optimising outcomes.
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Affiliation(s)
- José Domínguez
- Institut d'Investigació Germans Trias i Pujol, Universitat Autònoma de Barcelona, CIBER Enfermedades Respiratorias, INNOVA4TB Consortium, Barcelona, Spain.
| | - Martin J Boeree
- Department of Lung Diseases, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, Netherlands
| | - Emmanuelle Cambau
- Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France, APHP-Hôpital Bichat, Mycobacteriology Laboratory, INSERM, University Paris Cite, IAME UMR1137, Paris, France
| | - Dumitru Chesov
- Department of Pneumology and Allergology, Nicolae Testemițanu State University of Medicine and Pharmacy, Chisinau, Moldova; Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany
| | - Francesca Conradie
- Department of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Vivian Cox
- Centre for Infectious Disease Epidemiology and Research, School of Public Health and Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Keertan Dheda
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute & South African MRC/UCT Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa; Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK
| | - Andrii Dudnyk
- Department of Tuberculosis, Clinical Immunology and Allergy, National Pirogov Memorial Medical University, Vinnytsia, Ukraine; Public Health Center, Ministry of Health of Ukraine, Kyiv, Ukraine
| | - Maha R Farhat
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Sebastien Gagneux
- Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Martin P Grobusch
- Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Amsterdam University Medical Centers, Amsterdam Infection & Immunity, Amsterdam Public Health, University of Amsterdam, Amsterdam, Netherlands
| | - Matthias I Gröschel
- Department of Infectious Diseases and Respiratory Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Lorenzo Guglielmetti
- Sorbonne Université, INSERM, U1135, Centre d'Immunologie et des Maladies Infectieuses, (Cimi-Paris), APHP Sorbonne Université, Department of Bacteriology Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France
| | - Irina Kontsevaya
- Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK
| | - Berit Lange
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany; German Centre for Infection Research, TI BBD, Braunschweig, Germany
| | - Frank van Leth
- Department of Health Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Christian Lienhardt
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK; UMI 233 IRD-U1175 INSERM - Université de Montpellier, Institut de Recherche pour le Développement, Montpellier, France
| | - Anna M Mandalakas
- Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Global TB Program, Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Florian P Maurer
- National and Supranational Reference Center for Mycobacteria, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Institute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Merker
- Division of Evolution of the Resistome, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany
| | - Paolo Miotto
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Barbara Molina-Moya
- Institut d'Investigació Germans Trias i Pujol, Universitat Autònoma de Barcelona, CIBER Enfermedades Respiratorias, INNOVA4TB Consortium, Barcelona, Spain
| | - Florence Morel
- Sorbonne Université, INSERM, U1135, Centre d'Immunologie et des Maladies Infectieuses, (Cimi-Paris), APHP Sorbonne Université, Department of Bacteriology Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France
| | - Stefan Niemann
- Division of Molecular and Experimental Mycobacteriology, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Department of Human, Biological and Translational Medical Sciences, School of Medicine, University of Namibia, Windhoek, Namibia
| | - Nicolas Veziris
- Sorbonne Université, INSERM, U1135, Centre d'Immunologie et des Maladies Infectieuses, (Cimi-Paris), APHP Sorbonne Université, Department of Bacteriology Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Paris, France
| | - Andrew Whitelaw
- Division of Medical Microbiology, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa; National Health Laboratory Service, Tygerberg Hospital, Cape Town, South Africa
| | - Charles R Horsburgh
- Departments of Epidemiology, Biostatistics, Global Health and Medicine, Boston University Schools of Public Health and Medicine, Boston, MA, USA
| | - Christoph Lange
- Division of Clinical Infectious Diseases, Research Center Borstel, Leibniz Lung Center, Borstel, Germany; German Center for Infection Research (DZIF), Partner Site Hamburg- Lübeck-Borstel-Riems, Borstel, Germany; Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany; Global TB Program, Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
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19
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Li M, Lu L, Guo M, Jiang Q, Xia L, Jiang Y, Zhang S, Qiu Y, Yang C, Chen Y, Hong J, Guo X, Takiff H, Shen X, Chen C, Gao Q. Discrepancy in the transmissibility of multidrug-resistant Mycobacterium tuberculosis in urban and rural areas in China. Emerg Microbes Infect 2023; 12:2192301. [PMID: 36924242 DOI: 10.1080/22221751.2023.2192301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
The fitness of multidrug-resistant tuberculosis (MDR-TB) is thought to be an important determinant of a strain's ability to be transmitted and cause outbreaks. Studies in the laboratory have demonstrated that MDR-TB strains have reduced fitness but the relative transmissibility of MDR-TB versus drug-susceptible (DS) TB strains in human populations remains unresolved. We used data on genomic clustering from our previous molecular epidemiological study in Songjiang (2011-2020) and Wusheng (2009-2020), China, to compare the relative transmissibility of MDR-TB versus DS-TB. Genomic clusters were defined with a threshold distance of 12-single-nucleotide-polymorphisms and the risk for MDR-TB clustering was analyzed by logistic regression. In total, 2212 culture-positive pulmonary TB patients were enrolled in Songjiang and 1289 in Wusheng. The clustering rates of MDR-TB and DS-TB strains were 19.4% (20/103) and 26.3% (509/1936), respectively in Songjiang, and 43.9% (29/66) and 26.0% (293/1128) in Wusheng. The risk of MDR-TB clustering was 2.34 (95% CI 1.38-3.94) times higher than DS-TB clustering in Wusheng and 0.64 (95% CI 0.38-1.06) times lower in Songjiang. Neither lineage 2, compensatory mutations nor rpoB S450L were significantly associated with MDR-TB transmission, and katG S315T increased MDR-TB transmission only in Wusheng (OR 5.28, 95% CI 1.42-19.21). MDR-TB was not more transmissible than DS-TB in either Songjiang or Wusheng. It appears that the different transmissibility of MDR-TB in Songjiang and Wusheng is likely due to differences in the quality of the local TB control programs. These results suggest that the most effective way to control MDR-TB is by improving local TB control programs.
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Affiliation(s)
- Meng Li
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.,National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Liping Lu
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Mingcheng Guo
- Department of Tuberculosis Control, Wusheng County Center for Disease Control and Prevention, Guang'an, China
| | - Qi Jiang
- School of Public Health, Renmin Hospital Public Health Research Institute, Wuhan University, Wuhan, China
| | - Lan Xia
- Institution for Tuberculosis Prevention and Control, Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Yuan Jiang
- Tuberculosis Laboratory, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Shu Zhang
- Institution for Tuberculosis Prevention and Control, Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Yong Qiu
- Department of Tuberculosis Control, Wusheng County Center for Disease Control and Prevention, Guang'an, China
| | - Chongguang Yang
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Yiwang Chen
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.,National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
| | - Jianjun Hong
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Xiaoqin Guo
- Department of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China
| | - Howard Takiff
- Laboratorio de Genética Molecular, CMBC, IVIC, Caracas, Venezuela
| | - Xin Shen
- Tuberculosis Laboratory, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Chuang Chen
- Institution for Tuberculosis Prevention and Control, Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Qian Gao
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China.,National Clinical Research Center for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, Guangdong, China
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20
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Jiang Q, Liu HC, Liu QY, Phelan JE, Tao FX, Zhao XQ, Wang J, Glynn JR, Takiff HE, Clark TG, Wan KL, Gao Q. The Evolution and Transmission Dynamics of Multidrug-Resistant Tuberculosis in an Isolated High-Plateau Population of Tibet, China. Microbiol Spectr 2023; 11:e0399122. [PMID: 36912683 PMCID: PMC10101056 DOI: 10.1128/spectrum.03991-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 02/15/2023] [Indexed: 03/14/2023] Open
Abstract
On the Tibetan Plateau, most tuberculosis is caused by indigenous Mycobacterium tuberculosis strains with a monophyletic structure and high-level drug resistance. This study investigated the emergence, evolution, and transmission dynamics of multidrug-resistant tuberculosis (MDR-TB) in Tibet. The whole-genome sequences of 576 clinical strains from Tibet were analyzed with the TB-profiler tool to identify drug-resistance mutations. The evolution of the drug resistance was then inferred based on maximum-likelihood phylogeny and dated trees that traced the serial acquisition of mutations conferring resistance to different drugs. Among the 576 clinical M. tuberculosis strains, 346 (60.1%) carried at least 1 resistance-conferring mutation and 231 (40.1%) were MDR-TB. Using a pairwise distance of 50 single nucleotide polymorphisms (SNPs), most strains (89.9%, 518/576) were phylogenetically separated into 50 long-term transmission clusters. Eleven large drug-resistant clusters contained 76.1% (176/231) of the local multidrug-resistant strains. A total of 85.2% of the isoniazid-resistant strains were highly transmitted with an average of 6.6 cases per cluster, of which most shared the mutation KatG Ser315Thr. A lower proportion (71.6%) of multidrug-resistant strains were transmitted, with an average cluster size of 2.9 cases. The isoniazid-resistant clusters appear to have undergone substantial bacterial population growth in the 1970s to 1990s and then subsequently accumulated multiple rifampicin-resistance mutations and caused the current local MDR-TB burden. These findings highlight the importance of detecting and curing isoniazid-resistant strains to prevent the emergence of endemic MDR-TB. IMPORTANCE Emerging isoniazid resistance in the 1970s allowed M. tuberculosis strains to spread and form into large multidrug-resistant tuberculosis clusters in the isolated plateau of Tibet, China. The epidemic was driven by the high risk of transmission as well as the potential of acquiring further drug resistance from isoniazid-resistant strains. Eleven large drug-resistant clusters consisted of the majority of local multidrug-resistant cases. Among the clusters, isoniazid resistance overwhelmingly evolved before all the other resistance types. A large bacterial population growth of isoniazid-resistant clusters occurred between 1970s and 1990s, which subsequently accumulated rifampicin-resistance-conferring mutations in parallel and accounted for the local multidrug-resistant tuberculosis burden. The results of our study indicate that it may be possible to restrict MDR-TB evolution and dissemination by prioritizing screening for isoniazid (INH)-resistant TB strains before they become MDR-TB and by adopting measures that can limit their transmission.
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Affiliation(s)
- Qi Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Hai-Can Liu
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qing-Yun Liu
- Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jody E. Phelan
- Department of Infection Biology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Feng-Xi Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Xiu-Qin Zhao
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jian Wang
- Tibet Center for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
| | - Judith R. Glynn
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Howard E. Takiff
- Laboratorio de Genética Molecular, CMBC, IVIC, Caracas, Venezuela
| | - Taane G. Clark
- Department of Infection Biology, London School of Hygiene & Tropical Medicine, London, United Kingdom
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Kang-Lin Wan
- State Key Laboratory for Infectious Disease Prevention and Control and National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qian Gao
- National Clinical Research Center for Infectious Diseases, The Third People’s Hospital of Shenzhen, Shenzhen, Guangdong, China
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21
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Aubry A, Veziris N. [Tuberculosis: New findings on an old infectious disease]. Med Sci (Paris) 2023; 39:203-204. [PMID: 36943114 DOI: 10.1051/medsci/2023054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023] Open
Affiliation(s)
- Alexandra Aubry
- Professeure des Universités - Praticien Hospitalier - AP-HP, Sorbonne-Université Centre national de référence des mycobactéries et de la résistance des mycobactéries aux antituberculeux, Paris, France - Sorbonne université, Inserm U.1135, Centre d'immunologie et des maladies infectieuses (Cimi) Paris, France
| | - Nicolas Veziris
- Professeur des Universités - Praticien Hospitalier - AP-HP, Sorbonne-Université Centre national de référence des mycobactéries et de la résistance des mycobactéries aux antituberculeux, Paris, France - Sorbonne université, Inserm U.1135, Centre d'immunologie et des maladies infectieuses (Cimi) Paris, France
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22
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Anselmo LMP, Gallo JF, Pinhata JMW, Peronni KC, da Silva WA, Ruy PDC, Conceição EC, Dippenaar A, Warren RM, Monroe AA, Oliveira RS, Bollela VR. New insights on tuberculosis transmission dynamics and drug susceptibility profiles among the prison population in Southern Brazil based on whole-genome sequencing. Rev Soc Bras Med Trop 2023; 56:e0181. [PMID: 36820651 PMCID: PMC9957134 DOI: 10.1590/0037-8682-0181-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 10/10/2022] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND The rate of tuberculosis (TB) infection among the prison population (PP) in Brazil is 28 times higher than that in the general population, and prison environment favors the spread of TB. OBJECTIVE To describe TB transmission dynamics and drug resistance profiles in PP using whole-genome sequencing (WGS). METHODS This was a retrospective study of Mycobacterium tuberculosis cultivated from people incarcerated in 55 prisons between 2016 and 2019; only one isolate per prisoner was included. Information about movement from one prison to another was tracked. Clinical information was collected, and WGS was performed on isolates obtained at the time of TB diagnosis. RESULTS Among 134 prisoners included in the study, we detected 16 clusters with a total of 58 (43%) cases of M. tuberculosis. Clusters ranged from two to seven isolates with five or fewer single nucleotide polymorphism (SNP) differences, suggesting a recent transmission. Six (4.4%) isolates were resistant to at least one anti-TB drug. Two of these clustered together and showed resistance to rifampicin, isoniazid, and fluoroquinolones, with 100% concordance between WGS and phenotypic drug-susceptibility testing. Prisoners with clustered isolates had a high amount of movement between prisons (two to eight moves) during the study period. CONCLUSIONS WGS demonstrated the recent transmission of TB within prisons in Brazil. The high movement among prisoners seems to be related to the transmission of the same M. tuberculosis strain within the prison system. Screening for TB before and after the movement of prisoners using rapid molecular tests could play a role in reducing transmission.
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Affiliation(s)
- Lívia Maria Pala Anselmo
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Clínica Médica, Ribeirão Preto, SP, Brasil.
| | - Juliana Failde Gallo
- Instituto Adolfo Lutz, Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, São Paulo, SP, Brasil.
| | | | | | - Wilson Araújo da Silva
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Genética, Ribeirão Preto, São Paulo, Brasil.
| | - Patricia de Cássia Ruy
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Centro de Medicina Genômica do Hospital das Clínicas, Ribeirão Preto, SP, Brasil.
| | - Emilyn Costa Conceição
- Department of Science and Innovation - National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
| | - Anzaan Dippenaar
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, 2000, Belgium.
| | - Robin Mark Warren
- Department of Science and Innovation - National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
| | - Aline Aparecida Monroe
- Universidade de São Paulo, Escola de Enfermagem de Ribeirão Preto (EERP-USP), Ribeirão Preto, SP, Brasil.
| | - Rosangela Siqueira Oliveira
- Instituto Adolfo Lutz, Núcleo de Tuberculose e Micobacterioses, Centro de Bacteriologia, São Paulo, SP, Brasil.
| | - Valdes Roberto Bollela
- Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Clínica Médica, Ribeirão Preto, SP, Brasil.
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23
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Sanabria GE, Sequera G, Aguirre S, Méndez J, Dos Santos PCP, Gustafson NW, Godoy M, Ortiz A, Cespedes C, Martínez G, García-Basteiro AL, Andrews JR, Croda J, Walter KS. Phylogeography and transmission of Mycobacterium tuberculosis spanning prisons and surrounding communities in Paraguay. Nat Commun 2023; 14:303. [PMID: 36658111 PMCID: PMC9849832 DOI: 10.1038/s41467-023-35813-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 01/04/2023] [Indexed: 01/20/2023] Open
Abstract
Recent rises in incident tuberculosis (TB) cases in Paraguay and the increasing concentration of TB within prisons highlight the urgency of targeting strategies to interrupt transmission and prevent new infections. However, whether specific cities or carceral institutions play a disproportionate role in transmission remains unknown. We conducted prospective genomic surveillance, sequencing 471 Mycobacterium tuberculosis complex genomes, from inside and outside prisons in Paraguay's two largest urban areas, Asunción and Ciudad del Este, from 2016 to 2021. We found genomic evidence of frequent recent transmission within prisons and transmission linkages spanning prisons and surrounding populations. We identified a signal of frequent M. tuberculosis spread between urban areas and marked recent population size expansion of the three largest genomic transmission clusters. Together, our findings highlight the urgency of strengthening TB control programs to reduce transmission risk within prisons in Paraguay, where incidence was 70 times that outside prisons in 2021.
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Affiliation(s)
| | - Guillermo Sequera
- Instituto de Salud Global de Barcelona (ISGLOBAL), Barcelona, Spain
- Programa Nacional de Control de la Tuberculosis, Ministerio de Salud Pública y Bienestar Social (MSPyBS), Asunción, Paraguay
| | - Sarita Aguirre
- Programa Nacional de Control de la Tuberculosis, Ministerio de Salud Pública y Bienestar Social (MSPyBS), Asunción, Paraguay
| | - Julieta Méndez
- Instituto Regional de Investigación en Salud, Caaguazú, Paraguay
| | - Paulo César Pereira Dos Santos
- Postgraduate Program in Infectious and Parasitic Diseases, Federal University of Mato Grosso do Sul, Mato Grosso do Sul, Brazil
| | - Natalie Weiler Gustafson
- Laboratorio Central de Salud Pública (LCSP), Ministerio de Salud Publica y Bienestar Social (MSPyBS), Asunción, Paraguay
| | - Margarita Godoy
- Laboratorio Central de Salud Pública (LCSP), Ministerio de Salud Publica y Bienestar Social (MSPyBS), Asunción, Paraguay
| | - Analía Ortiz
- Instituto Regional de Investigación en Salud, Caaguazú, Paraguay
| | - Cynthia Cespedes
- Programa Nacional de Control de la Tuberculosis, Ministerio de Salud Pública y Bienestar Social (MSPyBS), Asunción, Paraguay
| | - Gloria Martínez
- Instituto Regional de Investigación en Salud, Caaguazú, Paraguay
| | - Alberto L García-Basteiro
- Instituto de Salud Global de Barcelona (ISGLOBAL), Barcelona, Spain
- Centro de Investigação em Saude de Manhiça (CISM), Maputo, Mozambique
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Barcelona, Spain
| | - Jason R Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Julio Croda
- Federal University of Mato Grosso do Sul - UFMS, Campo Grande, MS, Brazil
- Oswaldo Cruz Foundation Mato Grosso do Sul, Mato Grosso do Sul, Brazil
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA
| | - Katharine S Walter
- Division of Epidemiology, University of Utah, Salt Lake City, UT, 84105, USA.
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24
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Nimmo C, Millard J, Faulkner V, Monteserin J, Pugh H, Johnson EO. Evolution of Mycobacterium tuberculosis drug resistance in the genomic era. Front Cell Infect Microbiol 2022; 12:954074. [PMID: 36275027 PMCID: PMC9585206 DOI: 10.3389/fcimb.2022.954074] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 09/20/2022] [Indexed: 12/02/2022] Open
Abstract
Mycobacterium tuberculosis has acquired drug resistance to all drugs that have been used against it, including those only recently introduced into clinical practice. Compared to other bacteria, it has a well conserved genome due to its role as an obligate human pathogen that has adapted to a niche over five to ten thousand years. These features facilitate reconstruction and dating of M. tuberculosis phylogenies, giving key insights into how resistance has been acquired and spread globally. Resistance to each new drug has occurred within five to ten years of clinical use and has occurred even more rapidly with recently introduced drugs. In most cases, resistance-conferring mutations come with a fitness cost, but this can be overcome by compensatory mutations which restore fitness to that of wild-type bacteria. It is likely that M. tuberculosis acquires drug resistance while maintaining limited genomic variability due the generation of low frequency within-host variation, combined with ongoing purifying selection causing loss of variants without a clear fitness advantage. However, variants that do confer an advantage, such as drug resistance, can increase in prevalence amongst all bacteria within a host and become the dominant clone. These resistant strains can then be transmitted leading to primary drug resistant infection in a new host. As many countries move towards genomic methods for diagnosis of M. tuberculosis infection and drug resistance, it is important to be aware of the implications for the evolution of resistance. Currently, understanding of resistance-conferring mutations is incomplete, and some targeted genetic diagnostics create their own selective pressures. We discuss an example where a rifampicin resistance-conferring mutation which was not routinely covered by standard testing became dominant. Finally, resistance to new drugs such as bedaquiline and delamanid is caused by individually rare mutations occurring across a large mutational genomic target that have been detected over a short time, and do not provide statistical power for genotype-phenotype correlation – in contrast to longer-established drugs that form the backbone of drug-sensitive antituberculosis therapy. Therefore, we need a different approach to identify resistance-conferring mutations of new drugs before their resistance becomes widespread, abrogating their usefulness.
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Affiliation(s)
- Camus Nimmo
- Systems Chemical Biology of Infection and Resistance Laboratory, Francis Crick Institute, London, United Kingdom
- *Correspondence: Camus Nimmo,
| | - James Millard
- Institute of Infection and Global Health, University of Liverpool, Liverpool, United Kingdom
| | - Valwynne Faulkner
- Systems Chemical Biology of Infection and Resistance Laboratory, Francis Crick Institute, London, United Kingdom
| | - Johana Monteserin
- Systems Chemical Biology of Infection and Resistance Laboratory, Francis Crick Institute, London, United Kingdom
| | - Hannah Pugh
- Systems Chemical Biology of Infection and Resistance Laboratory, Francis Crick Institute, London, United Kingdom
| | - Eachan Oliver Johnson
- Systems Chemical Biology of Infection and Resistance Laboratory, Francis Crick Institute, London, United Kingdom
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25
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Van Rie A, Walker T, de Jong B, Rupasinghe P, Rivière E, Dartois V, Sonnenkalb L, Machado D, Gagneux S, Supply P, Dreyer V, Niemann S, Goig G, Meehan C, Tagliani E, Cirillo DM. Balancing access to BPaLM regimens and risk of resistance. THE LANCET. INFECTIOUS DISEASES 2022; 22:1411-1412. [PMID: 36007529 DOI: 10.1016/s1473-3099(22)00543-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 08/04/2022] [Accepted: 08/05/2022] [Indexed: 06/15/2023]
Affiliation(s)
- Annelies Van Rie
- Tuberculosis Omics Research Consortium, Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp 2000, Belgium
| | - Timothy Walker
- Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine Research Building, University of Oxford, Oxford, UK
| | - Bouke de Jong
- Mycobacteriology Unit, Institute of Tropical Medicine, University of Antwerp, Antwerp 2000, Belgium
| | - Praharshinie Rupasinghe
- Mycobacteriology Unit, Institute of Tropical Medicine, University of Antwerp, Antwerp 2000, Belgium
| | - Emmanuel Rivière
- Tuberculosis Omics Research Consortium, Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp 2000, Belgium.
| | - Véronique Dartois
- Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, USA
| | - Lindsay Sonnenkalb
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
| | - Diana Machado
- Laboratório de Micobactérias, Unidade de Microbiologia Médica, Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Portugal
| | - Sébastien Gagneux
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Philip Supply
- Institut Pasteur de Lille, U1019, UMR 8204, Center for Infection and Immunity of Lille, University of Lille, CNRS, Inserm, CHU Lille, Lille, France
| | - Viola Dreyer
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany; German Center for Infection Research, Partner Site Hamburg-Lübeck-Borstel-Reims, Borstel, Germany
| | - Galo Goig
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Conor Meehan
- Department of Biosciences, Nottingham Trent University, Nottingham, UK
| | - Elisa Tagliani
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniela Maria Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
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26
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Asymmetric synthesis of bedaquiline based on bimetallic activation and non-covalent interaction promotion strategies. Sci China Chem 2022. [DOI: 10.1007/s11426-022-1387-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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27
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Merker M, Rasigade JP, Barbier M, Cox H, Feuerriegel S, Kohl TA, Shitikov E, Klaos K, Gaudin C, Antoine R, Diel R, Borrell S, Gagneux S, Nikolayevskyy V, Andres S, Crudu V, Supply P, Niemann S, Wirth T. Transcontinental spread and evolution of Mycobacterium tuberculosis W148 European/Russian clade toward extensively drug resistant tuberculosis. Nat Commun 2022; 13:5105. [PMID: 36042200 PMCID: PMC9426364 DOI: 10.1038/s41467-022-32455-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 08/01/2022] [Indexed: 11/09/2022] Open
Abstract
Transmission-driven multi-/extensively drug resistant (M/XDR) tuberculosis (TB) is the largest single contributor to human mortality due to antimicrobial resistance. A few major clades of the Mycobacterium tuberculosis complex belonging to lineage 2, responsible for high prevalence of MDR-TB in Eurasia, show outstanding transnational distributions. Here, we determined factors underlying the emergence and epidemic spread of the W148 clade by genome sequencing and Bayesian demogenetic analyses of 720 isolates from 23 countries. We dated a common ancestor around 1963 and identified two successive epidemic expansions in the late 1980s and late 1990s, coinciding with major socio-economic changes in the post-Soviet Era. These population expansions favored accumulation of resistance mutations to up to 11 anti-TB drugs, with MDR evolving toward additional resistances to fluoroquinolones and second-line injectable drugs within 20 years on average. Timescaled haplotypic density analysis revealed that widespread acquisition of compensatory mutations was associated with transmission success of XDR strains. Virtually all W148 strains harbored a hypervirulence-associated ppe38 gene locus, and incipient recurrent emergence of prpR mutation-mediated drug tolerance was detected. The outstanding genetic arsenal of this geographically widespread M/XDR strain clade represents a “perfect storm” that jeopardizes the successful introduction of new anti-M/XDR-TB antibiotic regimens. An outbreak of the multidrug-resistant Mycobacterium tuberculosis lineage W148 has spread widely across Russia, Central Asia and Europe. Here, the authors use whole genome sequences of ~700 isolates of this lineage collected over ~20 years to analyze its spread, evolution of drug resistance, and impact of compensatory mutations.
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Affiliation(s)
- Matthias Merker
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany.,Evolution of the Resistome, Research Center Borstel, Borstel, Germany
| | - Jean-Philippe Rasigade
- EPHE, PSL University, Paris, France.,Institut de Systématique, Evolution, Biodiversité, ISYEB, Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France.,Centre International de Recherche en Infectiologie, INSERM U1111, CNRS UMR5308, Université Lyon 1, ENS de Lyon, Lyon, France
| | - Maxime Barbier
- EPHE, PSL University, Paris, France.,Institut de Systématique, Evolution, Biodiversité, ISYEB, Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France
| | - Helen Cox
- Division of Medical Microbiology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Silke Feuerriegel
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Thomas A Kohl
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany.,German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany
| | - Egor Shitikov
- Federal Research and Clinical Centre of Physical-Chemical Medicine, Moscow, Russian Federation
| | - Kadri Klaos
- SA TUH United Laboratories, Mycobacteriology, Tartu, Estonia
| | | | - Rudy Antoine
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 - CIIL - Centre d'Infection et d'Immunité de Lille, F-59000, Lille, France
| | - Roland Diel
- Institute for Epidemiology, Schleswig-Holstein University Hospital, Kiel, Germany.,Lung Clinic Grosshansdorf, German Center for Lung Research (DZL), Airway Research Center North (ARCN), 22927, Großhansdorf, Germany
| | - Sonia Borrell
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland.,University of Basel, Basel, Switzerland
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland.,University of Basel, Basel, Switzerland
| | | | - Sönke Andres
- National and WHO Supranational Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany
| | - Valeriu Crudu
- National TB Reference Laboratory, Institute of Phthisiopneumology, Chisinau, Moldova
| | - Philip Supply
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 - CIIL - Centre d'Infection et d'Immunité de Lille, F-59000, Lille, France.
| | - Stefan Niemann
- Molecular and Experimental Mycobacteriology, Research Center Borstel, Borstel, Germany. .,German Center for Infection Research, Partner site Hamburg-Lübeck-Borstel-Riems, Borstel, Germany.
| | - Thierry Wirth
- EPHE, PSL University, Paris, France. .,Institut de Systématique, Evolution, Biodiversité, ISYEB, Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, EPHE, Université des Antilles, Paris, France.
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28
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Cancino-Muñoz I, López MG, Torres-Puente M, Villamayor LM, Borrás R, Borrás-Máñez M, Bosque M, Camarena JJ, Colijn C, Colomer-Roig E, Colomina J, Escribano I, Esparcia-Rodríguez O, García-García F, Gil-Brusola A, Gimeno C, Gimeno-Gascón A, Gomila-Sard B, Gónzales-Granda D, Gonzalo-Jiménez N, Guna-Serrano MR, López-Hontangas JL, Martín-González C, Moreno-Muñoz R, Navarro D, Navarro M, Orta N, Pérez E, Prat J, Rodríguez JC, Ruiz-García MM, Vanaclocha H, Comas I. Population-based sequencing of Mycobacterium tuberculosis reveals how current population dynamics are shaped by past epidemics. eLife 2022; 11:76605. [PMID: 35880398 PMCID: PMC9323001 DOI: 10.7554/elife.76605] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 07/07/2022] [Indexed: 11/13/2022] Open
Abstract
Transmission is a driver of tuberculosis (TB) epidemics in high-burden regions, with assumed negligible impact in low-burden areas. However, we still lack a full characterization of transmission dynamics in settings with similar and different burdens. Genomic epidemiology can greatly help to quantify transmission, but the lack of whole genome sequencing population-based studies has hampered its application. Here, we generate a population-based dataset from Valencia region and compare it with available datasets from different TB-burden settings to reveal transmission dynamics heterogeneity and its public health implications. We sequenced the whole genome of 785 Mycobacterium tuberculosis strains and linked genomes to patient epidemiological data. We use a pairwise distance clustering approach and phylodynamic methods to characterize transmission events over the last 150 years, in different TB-burden regions. Our results underscore significant differences in transmission between low-burden TB settings, i.e., clustering in Valencia region is higher (47.4%) than in Oxfordshire (27%), and similar to a high-burden area as Malawi (49.8%). By modeling times of the transmission links, we observed that settings with high transmission rate are associated with decades of uninterrupted transmission, irrespective of burden. Together, our results reveal that burden and transmission are not necessarily linked due to the role of past epidemics in the ongoing TB incidence, and highlight the need for in-depth characterization of transmission dynamics and specifically tailored TB control strategies.
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Affiliation(s)
- Irving Cancino-Muñoz
- Tuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain
| | - Mariana G López
- Tuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain
| | - Manuela Torres-Puente
- Tuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain
| | - Luis M Villamayor
- Unidad Mixta "Infección y Salud Pública" (FISABIO-CSISP), Valencia, Spain
| | - Rafael Borrás
- Microbiology Service, Hospital Clínico Universitario, Valencia, Spain
| | - María Borrás-Máñez
- Microbiology and Parasitology Service, Hospital Universitario de La Ribera, Alzira, Spain
| | | | - Juan J Camarena
- Microbiology Service, Hospital Universitario Dr Peset, Valencia, Spain
| | - Caroline Colijn
- Department of Mathematics, Faculty of Science, Simon Fraser University, Burnaby, Canada
| | - Ester Colomer-Roig
- Unidad Mixta "Infección y Salud Pública" (FISABIO-CSISP), Valencia, Spain.,Microbiology Service, Hospital Universitario Dr Peset, Valencia, Spain
| | - Javier Colomina
- Microbiology Service, Hospital Clínico Universitario, Valencia, Spain
| | - Isabel Escribano
- Microbiology Laboratory, Hospital Virgen de los Lirios, Alcoy, Spain
| | | | | | - Ana Gil-Brusola
- Microbiology Service, Hospital Universitari i Politècnic La Fe, Valencia, Spain
| | - Concepción Gimeno
- Microbiology Service, Hospital General Universitario de Valencia, Valencia, Spain
| | | | - Bárbara Gomila-Sard
- Microbiology Service, Hospital General Universitario de Castellón, Castellón, Spain
| | | | | | | | | | - Coral Martín-González
- Microbiology Service, Hospital Universitario de San Juan de Alicante, Alicantes, Spain
| | - Rosario Moreno-Muñoz
- Microbiology Service, Hospital General Universitario de Castellón, Castellón, Spain
| | - David Navarro
- Microbiology Service, Hospital Clínico Universitario, Valencia, Spain
| | - María Navarro
- Microbiology Service, Hospital de la Vega Baixa, Orihuela, Spain
| | - Nieves Orta
- Microbiology Service, Hospital Universitario de San Juan de Alicante, Alicantes, Spain
| | - Elvira Pérez
- Subdirección General de Epidemiología y Vigilancia de la Salud y Sanidad Ambiental de Valencia (DGSP), Valencia, Spain
| | - Josep Prat
- Microbiology Service, Hospital de Sagunto, Sagunto, Spain
| | | | | | - Hermelinda Vanaclocha
- Subdirección General de Epidemiología y Vigilancia de la Salud y Sanidad Ambiental de Valencia (DGSP), Valencia, Spain
| | | | - Iñaki Comas
- Tuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.,CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
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29
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Menardo F. Understanding drivers of phylogenetic clustering and terminal branch lengths distribution in epidemics of Mycobacterium tuberculosis. eLife 2022; 11:76780. [PMID: 35762734 PMCID: PMC9239681 DOI: 10.7554/elife.76780] [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: 01/04/2022] [Accepted: 06/15/2022] [Indexed: 11/13/2022] Open
Abstract
Detecting factors associated with transmission is important to understand disease epidemics, and to design effective public health measures. Clustering and terminal branch lengths (TBL) analyses are commonly applied to genomic data sets of Mycobacterium tuberculosis (MTB) to identify sub-populations with increased transmission. Here, I used a simulation-based approach to investigate what epidemiological processes influence the results of clustering and TBL analyses, and whether differences in transmission can be detected with these methods. I simulated MTB epidemics with different dynamics (latency, infectious period, transmission rate, basic reproductive number R0, sampling proportion, sampling period, and molecular clock), and found that all considered factors, except for the length of the infectious period, affect the results of clustering and TBL distributions. I show that standard interpretations of this type of analyses ignore two main caveats: (1) clustering results and TBL depend on many factors that have nothing to do with transmission, (2) clustering results and TBL do not tell anything about whether the epidemic is stable, growing, or shrinking, unless all the additional parameters that influence these metrics are known, or assumed identical between sub-populations. An important consequence is that the optimal SNP threshold for clustering depends on the epidemiological conditions, and that sub-populations with different epidemiological characteristics should not be analyzed with the same threshold. Finally, these results suggest that different clustering rates and TBL distributions, that are found consistently between different MTB lineages, are probably due to intrinsic bacterial factors, and do not indicate necessarily differences in transmission or evolutionary success.
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Affiliation(s)
- Fabrizio Menardo
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
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30
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Walter KS, Dos Santos PCP, Gonçalves TO, da Silva BO, da Silva Santos A, de Cássia Leite A, da Silva AM, Figueira Moreira FM, de Oliveira RD, Lemos EF, Cunha E, Liu YE, Ko AI, Colijn C, Cohen T, Mathema B, Croda J, Andrews JR. The role of prisons in disseminating tuberculosis in Brazil: A genomic epidemiology study. LANCET REGIONAL HEALTH. AMERICAS 2022; 9. [PMID: 35647574 PMCID: PMC9140320 DOI: 10.1016/j.lana.2022.100186] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background Globally, prisons are high-incidence settings for tuberculosis. Yet the role of prisons as reservoirs of M. tuberculosis, propagating epidemics through spillover to surrounding communities, has been difficult to measure directly. Methods To quantify the role of prisons in driving wider community M. tuberculosis transmission, we conducted prospective genomic surveillance in Central West Brazil from 2014 to 2019. We whole genome sequenced 1152 M. tuberculosis isolates collected during active and passive surveillance inside and outside prisons and linked genomes to detailed incarceration histories. We applied multiple phylogenetic and genomic clustering approaches and inferred timed transmission trees. Findings M. tuberculosis sequences from incarcerated and non-incarcerated people were closely related in a maximum likelihood phylogeny. The majority (70.8%; 46/65) of genomic clusters including people with no incarceration history also included individuals with a recent history of incarceration. Among cases in individuals with no incarceration history, 50.6% (162/320) were in clusters that included individuals with recent incarceration history, suggesting that transmission chains often span prisons and communities. We identified a minimum of 18 highly probable spillover events, M. tuberculosis transmission from people with a recent incarceration history to people with no prior history of incarceration, occurring in the state’s four largest cities and across sampling years. We additionally found that frequent transfers of people between the state’s prisons creates a highly connected prison network that likely disseminates M. tuberculosis across the state. Interpretation We developed a framework for measuring spillover from high-incidence environments to surrounding communities by integrating genomic and spatial information. Our findings indicate that, in this setting, prisons serve not only as disease reservoirs, but also disseminate M. tuberculosis across highly connected prison networks, both amplifying and propagating M. tuberculosis risk in surrounding communities. Funding Brazil’s National Council for Scientific and Technological Development and US National Institutes of Health.
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Affiliation(s)
- Katharine S Walter
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States
| | | | | | - Bruna Oliveira da Silva
- Health Sciences Research Laboratory, Federal University of Grande Dourados, Dourados, Brazil
| | - Andrea da Silva Santos
- Health Sciences Research Laboratory, Federal University of Grande Dourados, Dourados, Brazil
| | | | - Alessandra Moura da Silva
- School of Medicine, Federal University of Mato Grosso do Sul, School of Medicine, Campo Grande, Brazil
| | | | | | - Everton Ferreira Lemos
- School of Medicine, Federal University of Mato Grosso do Sul, School of Medicine, Campo Grande, Brazil
| | - Eunice Cunha
- Laboratory of Bacteriology, Central Laboratory of Mato Grosso do Sul, Campo Grande, Brazil
| | - Yiran E Liu
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States.,Cancer Biology Graduate Program, Stanford University School of Medicine, Stanford, United States
| | - Albert I Ko
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, United States.,Instituto Gonçalo¸ Moniz, Fundação Oswaldo Cruz, Salvador, BA, Brazil
| | - Caroline Colijn
- Department of Mathematics, Simon Fraser University, Burnaby, Canada
| | - Ted Cohen
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, United States
| | - Barun Mathema
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, United States
| | - Julio Croda
- School of Medicine, Federal University of Mato Grosso do Sul, School of Medicine, Campo Grande, Brazil.,Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, United States.,Mato Grosso do Sul Office, Oswaldo Cruz Foundation, Campo Grande, Brazil
| | - Jason R Andrews
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA 94305, United States
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31
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Guyeux C, Senelle G, Refrégier G, Bretelle-Establet F, Cambau E, Sola C. Connection between two historical tuberculosis outbreak sites in Japan, Honshu, by a new ancestral Mycobacterium tuberculosis L2 sublineage. Epidemiol Infect 2022; 150:1-25. [PMID: 35042579 PMCID: PMC8931808 DOI: 10.1017/s0950268822000048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/24/2021] [Accepted: 01/03/2022] [Indexed: 11/07/2022] Open
Abstract
By gathering 680 publicly available Sequence Read Archives from isolates of Mycobacterium tuberculosis complex (MTBC) including 190 belonging to the lineage 2 Beijing , and using an in-house bioinformatical pipeline, the TB-Annotator , that analyses more than 50 000 characters, we describe herein a new L2 sublineage from 20 isolates found in the Tochigi province, (Japan), that we designate as asia ancestral 5 (AAnc5). These isolates harbour a number of specific criteria (42 SNPs) and their intra-cluster pairwise distance suggests historical and not epidemiological transmission. These isolates harbour a mutation in rpoC , and do not fulfil, any of the modern Beijing lineage criteria, nor any of the other ancestral Beijing lineages described so far. Asia ancestral 5 isolates do not possess mutT2 58 and ogt 12 characteristics of modern Beijing , but possess ancestral Beijing SNPs characteristics. By looking into the literature, we found a reference isolate ID381, described in Kobe and Osaka belonging to the ‘G3’ group, sharing 36 out of the 42 specific SNPs found in AAnc5. We also assessed the intermediate position of the asia ancestral 4 (AAnc4) sublineage recently described in Thailand and propose an improved classification of the L2 that now includes AAnc4 and AAnc5. By increasing the recruitment into TB-Annotator to around 3000 genomes (including 642 belonging to L2), we confirmed our results and discovered additional historical ancestral L2 branches that remain to be investigated in more detail. We also present, in addition, some anthropological and historical data from Chinese and Japan history of tuberculosis, as well as from Korea, that could support our results on L2 evolution. This study shows that the reconstruction of the early history of tuberculosis in Asia is likely to reveal complex patterns since its emergence.
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Affiliation(s)
- Christophe Guyeux
- DISC Computer Science Department, FEMTO-ST Institute, UMR 6174 CNRS, Univ. Bourgogne Franche-Comté (UBFC), 16 Route de Gray, 25000Besançon, France
| | - Gaetan Senelle
- DISC Computer Science Department, FEMTO-ST Institute, UMR 6174 CNRS, Univ. Bourgogne Franche-Comté (UBFC), 16 Route de Gray, 25000Besançon, France
| | - Guislaine Refrégier
- Université Paris-Saclay, Saint-Aubin, France
- Université Paris-Saclay, CNRS, AgroParisTech, UMR ESE, 91405, Orsay, France
| | | | - Emmanuelle Cambau
- Université de Paris, IAME, UMR1137, INSERM, Paris, France
- AP-HP, GHU Nord, service de mycobactériologie spécialisée et de référence, Laboratoire associé du Centre National de Référence des mycobactéries et résistance des mycobactéries aux antituberculeux (CNR-MyRMA), Paris, France
| | - Christophe Sola
- Université Paris-Saclay, Saint-Aubin, France
- Université de Paris, IAME, UMR1137, INSERM, Paris, France
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Abstract
Mutations conferring resistance to one antibiotic can increase (cross-resistance) or decrease (collateral sensitivity) resistance to others. Antibiotic combinations displaying collateral sensitivity could be used in treatments that slow resistance evolution. However, lab-to-clinic translation requires understanding whether collateral effects are robust across different environmental conditions. Here, we isolated and characterized resistant mutants of Escherichia coli using five antibiotics, before measuring collateral effects on resistance to other paired antibiotics. During both isolation and phenotyping, we varied conditions in ways relevant in nature (pH, temperature, and bile). This revealed that local abiotic conditions modified expression of resistance against both the antibiotic used during isolation and other antibiotics. Consequently, local conditions influenced collateral sensitivity in two ways: by favoring different sets of mutants (with different collateral sensitivities) and by modifying expression of collateral effects for individual mutants. These results place collateral sensitivity in the context of environmental variation, with important implications for translation to real-world applications. IMPORTANCE When bacteria become resistant to an antibiotic, the genetic changes involved sometimes increase (cross-resistance) or decrease (collateral sensitivity) their resistance to other antibiotics. Antibiotic combinations showing repeatable collateral sensitivity could be used in treatment to slow resistance evolution. However, collateral sensitivity interactions may depend on the local environmental conditions that bacteria experience, potentially reducing repeatability and clinical application. Here, we show that variation in local conditions (pH, temperature, and bile salts) can influence collateral sensitivity in two ways: by favoring different sets of mutants during bacterial resistance evolution (with different collateral sensitivities to other antibiotics) and by modifying expression of collateral effects for individual mutants. This suggests that translation from the lab to the clinic of new approaches exploiting collateral sensitivity will be influenced by local abiotic conditions.
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Expression Dysregulation as a Mediator of Fitness Costs in Antibiotic Resistance. Antimicrob Agents Chemother 2021; 65:e0050421. [PMID: 34228548 PMCID: PMC8370218 DOI: 10.1128/aac.00504-21] [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] [Indexed: 01/16/2023] Open
Abstract
Antimicrobial resistance (AMR) poses a threat to global health and the economy. Rifampicin-resistant Mycobacterium tuberculosis accounts for a third of the global AMR burden. Gaining the upper hand on AMR requires a deeper understanding of the physiology of resistance. AMR often results in a fitness cost in the absence of drug. Identifying the molecular mechanisms underpinning this cost could help strengthen future treatment regimens. Here, we used a collection of M. tuberculosis strains that provide an evolutionary and phylogenetic snapshot of rifampicin resistance and subjected them to genome-wide transcriptomic and proteomic profiling to identify key perturbations of normal physiology. We found that the clinically most common rifampicin resistance-conferring mutation, RpoB Ser450Leu, imparts considerable gene expression changes, many of which are mitigated by the compensatory mutation in RpoC Leu516Pro. However, our data also provide evidence for pervasive epistasis—the same resistance mutation imposed a different fitness cost and functionally distinct changes to gene expression in genetically unrelated clinical strains. Finally, we report a likely posttranscriptional modulation of gene expression that is shared in most of the tested strains carrying RpoB Ser450Leu, resulting in an increased abundance of proteins involved in central carbon metabolism. These changes contribute to a more general trend in which the disruption of the composition of the proteome correlates with the fitness cost of the RpoB Ser450Leu mutation in different strains.
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