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Zhu J, Haanpera M, Mentula S, Vapalahti O, Soini H, Sironen T, Kant R, Zakham F. Transmission of drug-resistant Mycobacterium tuberculosis isolates between Finnish- and foreign-born cases, 2014-2021: A molecular epidemiological study. Tuberculosis (Edinb) 2024; 146:102492. [PMID: 38364331 DOI: 10.1016/j.tube.2024.102492] [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: 09/01/2023] [Revised: 02/03/2024] [Accepted: 02/11/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND Data on the molecular epidemiology and transmission of drug-resistant Mycobacterium tuberculosis (MTB) in low-incidence settings with immigration from high-incidence settings is limited. METHOD We included 115 drug-resistant (DR) MTB isolates with whole-genome sequencing data isolated in Finland between 2014 and 2021. Potential transmission clusters were identified using a threshold of 12 single-nucleotide polymorphisms (SNPs). Highly related clusters were identified using a threshold of 5 SNPs. RESULT Of the 115 DR MTB isolates, 31 (27.0%) isolates were from Finnish-born cases and 84 (73.0%) were from foreign-born cases. The proportion of multidrug-resistant (MDR) MTB isolates (30/84, 35.7%) from foreign-born cases was higher than that of MDR MTB isolates from Finnish-born cases (8/31, 25.8%). Lineage 2 (40/115, 34.8%) and lineage 4 (40/115, 34.8%) were the most prevalent lineages. A total of 25 (21.7%) isolates were classified into eight potential transmission clusters (≤12 SNPs). Furthermore, five highly related clusters (≤5 SNPs) were identified, including three DR MTB isolates from Finnish-born cases and 14 DR isolates from foreign-born cases. CONCLUSION The risk of DR MTB transmission between Finnish- and foreign-born persons is not negligible. Further research on clustering analysis in drug-susceptible MTB is worth to inform tuberculosis management and control in low-incidence settings with increasing immigration.
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Affiliation(s)
- Jiahui Zhu
- Department of Virology, University of Helsinki, Helsinki, Finland.
| | - Marjo Haanpera
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Silja Mentula
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Olli Vapalahti
- Department of Virology, University of Helsinki, Helsinki, Finland; Department of Basic Veterinary Sciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
| | - Hanna Soini
- Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Tarja Sironen
- Department of Virology, University of Helsinki, Helsinki, Finland; Department of Basic Veterinary Sciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
| | - Ravi Kant
- Department of Virology, University of Helsinki, Helsinki, Finland; Department of Basic Veterinary Sciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland; Department of Tropical Parasitology, Institute of Maritime and Tropical Medicine, Medical University of Gdansk, Gdynia, Poland
| | - Fathiah Zakham
- Department of Virology, University of Helsinki, Helsinki, Finland; Department of Basic Veterinary Sciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
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Hazra D, Lam C, Chawla K, Sintchenko V, Dhyani VS, Venkatesh BT. Impact of Whole-Genome Sequencing of Mycobacterium tuberculosis on Treatment Outcomes for MDR-TB/XDR-TB: A Systematic Review. Pharmaceutics 2023; 15:2782. [PMID: 38140122 PMCID: PMC10747601 DOI: 10.3390/pharmaceutics15122782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/29/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023] Open
Abstract
The emergence and persistence of drug-resistant tuberculosis is a major threat to global public health. Our objective was to assess the applicability of whole-genome sequencing (WGS) to detect genomic markers of drug resistance and explore their association with treatment outcomes for multidrug-resistant/extensively drug-resistant tuberculosis (MDR/XDR-TB). METHODS Five electronic databases were searched for studies published in English from the year 2000 onward. Two reviewers independently conducted the article screening, relevant data extraction, and quality assessment. The data of the included studies were synthesized with a narrative method and are presented in a tabular format. RESULTS The database search identified 949 published articles and 8 studies were included. An unfavorable treatment outcome was reported for 26.6% (488/1834) of TB cases, which ranged from 9.7 to 51.3%. Death was reported in 10.5% (194/1834) of total cases. High-level fluoroquinolone resistance (due to gyrA 94AAC and 94GGC mutations) was correlated as the cause of unfavorable treatment outcomes and reported in three studies. Other drug resistance mutations, like kanamycin high-level resistance mutations (rrs 1401G), rpoB Ile491Phe, and ethA mutations, conferring prothionamide resistance were also reported. The secondary findings from this systematic review involved laboratory aspects of WGS, including correlations with phenotypic DST, cost, and turnaround time, or the impact of WGS results on public health actions, such as determining transmission events within outbreaks. CONCLUSIONS WGS has a significant capacity to provide accurate and comprehensive drug resistance data for MDR/XDR-TB, which can inform personalized drug therapy to optimize treatment outcomes.
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Affiliation(s)
- Druti Hazra
- Department of Microbiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India;
| | - Connie Lam
- Sydney Institute for Infectious Diseases, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia;
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Westmead, Sydney, NSW 2145, Australia
| | - Kiran Chawla
- Department of Microbiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India;
| | - Vitali Sintchenko
- Sydney Institute for Infectious Diseases, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia;
- Centre for Infectious Diseases and Microbiology-Public Health, Westmead Hospital, Westmead, Sydney, NSW 2145, Australia
| | - Vijay Shree Dhyani
- Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India;
| | - Bhumika T. Venkatesh
- Public Health Evidence South Asia, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India;
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3
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Lim AYH, Ang MLT, Cho SSL, Ng DHL, Cutter J, Lin RTP. Implementation of national whole-genome sequencing of Mycobacterium tuberculosis, National Public Health Laboratory, Singapore, 2019-2022. Microb Genom 2023; 9. [PMID: 38010371 DOI: 10.1099/mgen.0.001139] [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] [Indexed: 11/29/2023] Open
Abstract
The National Tuberculosis Programme (NTBP) monitors the occurrence and spread of tuberculosis (TB) and multidrug-resistant TB (MDR-TB) in Singapore. Since 2020, whole-genome sequencing (WGS) of Mycobacterium tuberculosis isolates has been performed at the National Public Health Laboratory (NPHL) for genomic surveillance, replacing spoligotyping and mycobacterial interspersed repetitive unit-variable number tandem repeats analysis (MIRU-VNTR). Four thousand three hundred and seven samples were sequenced from 2014 to January 2023, initially as research projects and later developed into a comprehensive public health surveillance programme. Currently, all newly diagnosed culture-positive cases of TB in Singapore are prospectively sent for WGS, which is used to perform lineage classification, predict drug resistance profiles and infer genetic relationships between TB isolates. This paper describes NPHL's operational and technical experiences with implementing the WGS service in an urban TB-endemic setting, focusing on cluster detection and genomic drug susceptibility testing (DST). Cluster detection: WGS has been used to guide contact tracing by detecting clusters and discovering unknown transmission networks. Examples have been clusters in a daycare centre, housing apartment blocks and a horse-racing betting centre. Genomic DST: genomic DST prediction (gDST) identifies mutations in core genes known to be associated with TB drug resistance catalogued in the TBProfiler drug resistance mutation database. Mutations are reported with confidence scores according to a standardized approach referencing NPHL's internal gDST confidence database, which is adapted from the World Health Organization (WHO) TB drug mutation catalogue. Phenotypic-genomic concordance was observed for the first-line drugs ranging from 2959/2998 (98.7 %) (ethambutol) to 2983/2996 (99.6 %) (rifampicin). Aspects of internal database management, reporting standards and caveats in results interpretation are discussed.
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Affiliation(s)
- Ansel Yi Herh Lim
- National Public Health Laboratory, National Centre for Infectious Diseases, Singapore, Singapore
| | - Michelle L T Ang
- National Public Health Laboratory, National Centre for Infectious Diseases, Singapore, Singapore
| | - Sharol S L Cho
- National Public Health Laboratory, National Centre for Infectious Diseases, Singapore, Singapore
| | - Deborah H L Ng
- National Tuberculosis Programme, National Centre for Infectious Diseases, Singapore, Singapore
| | - Jeffery Cutter
- National Tuberculosis Programme, National Centre for Infectious Diseases, Singapore, Singapore
| | - Raymond T P Lin
- National Public Health Laboratory, National Centre for Infectious Diseases, Singapore, Singapore
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4
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Chizimu JY, Solo ES, Bwalya P, Kapalamula TF, Mwale KK, Squarre D, Shawa M, Lungu P, Barnes DA, Yamba K, Mufune T, Chambaro H, Kamboyi H, Munyeme M, Hang'ombe BM, Kapata N, Mukonka V, Chilengi R, Thapa J, Nakajima C, Suzuki Y. Genomic Analysis of Mycobacterium tuberculosis Strains Resistant to Second-Line Anti-Tuberculosis Drugs in Lusaka, Zambia. Antibiotics (Basel) 2023; 12:1126. [PMID: 37508222 PMCID: PMC10376136 DOI: 10.3390/antibiotics12071126] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/25/2023] [Accepted: 06/27/2023] [Indexed: 07/30/2023] Open
Abstract
The emergence of pre-extensively drug-resistant tuberculosis (pre-XDR-TB) is a threat to TB control programs in developing countries such as Zambia. Studies in Zambia have applied molecular techniques to understand drug-resistance-associated mutations, circulating lineages and transmission patterns of multi-drug-resistant (MDR) Mycobacterium tuberculosis. However, none has reported genotypes and mutations associated with pre-XDR TB. This study characterized 63 drug-resistant M. tuberculosis strains from the University Teaching Hospital between 2018 and 2019 using targeted gene sequencing and conveniently selected 50 strains for whole genome sequencing. Sixty strains had resistance mutations associated to MDR, one polyresistant, and two rifampicin resistant. Among MDR strains, seven percent (4/60) had mutations associated with pre-XDR-TB. While four, one and nine strains had mutations associated with ethionamide, para-amino-salicylic acid and streptomycin resistances, respectively. All 50 strains belonged to lineage 4 with the predominant sub-lineage 4.3.4.2.1 (38%). Three of four pre-XDR strains belonged to sub-lineage 4.3.4.2.1. Sub-lineage 4.3.4.2.1 strains were less clustered when compared to sub-lineages L4.9.1 and L4.3.4.1 based on single nucleotide polymorphism differences. The finding that resistances to second-line drugs have emerged among MDR-TB is a threat to TB control. Hence, the study recommends a strengthened routine drug susceptibility testing for second-line TB drugs to stop the progression of pre-XDR to XDR-TB and improve patient treatment outcomes.
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Affiliation(s)
- Joseph Yamweka Chizimu
- Division of Bioresources, Hokkaido University International Institute for Zoonosis Control, Sapporo 001-0020, Hokkaido, Japan
- Zambia National Public Health Institute, Ministry of Health, Lusaka 10101, Zambia
| | | | - Precious Bwalya
- Division of Bioresources, Hokkaido University International Institute for Zoonosis Control, Sapporo 001-0020, Hokkaido, Japan
- University Teaching Hospital, Ministry of Health, Lusaka 10101, Zambia
| | - Thoko Flav Kapalamula
- Department of Pathobiology, Faculty of Veterinary Medicine, Lilongwe University of Agriculture and Natural Resources, Lilongwe 207203, Malawi
| | | | - David Squarre
- Department of Veterinary Services, Ministry of Fisheries and Livestock, Lusaka 10101, Zambia
| | - Misheck Shawa
- Division of Bioresources, Hokkaido University International Institute for Zoonosis Control, Sapporo 001-0020, Hokkaido, Japan
| | - Patrick Lungu
- National TB Control Program, Ministry of Health, Lusaka 10101, Zambia
| | - David Atomanyi Barnes
- Division of Bioresources, Hokkaido University International Institute for Zoonosis Control, Sapporo 001-0020, Hokkaido, Japan
| | - Kaunda Yamba
- University Teaching Hospital, Ministry of Health, Lusaka 10101, Zambia
| | - Tiza Mufune
- Provincial Health Office, Central Province, Ministry of Health, Kabwe 10101, Zambia
| | - Herman Chambaro
- Department of Veterinary Services, Ministry of Fisheries and Livestock, Lusaka 10101, Zambia
| | - Harvey Kamboyi
- Division of Bioresources, Hokkaido University International Institute for Zoonosis Control, Sapporo 001-0020, Hokkaido, Japan
| | - Musso Munyeme
- Department of Disease Control, School of Veterinary Medicine, The University of Zambia, Lusaka 10101, Zambia
| | - Bernard Mudenda Hang'ombe
- Department of Para-Clinical Studies, School of Veterinary Medicine, The University of Zambia, Lusaka 10101, Zambia
| | - Nathan Kapata
- Zambia National Public Health Institute, Ministry of Health, Lusaka 10101, Zambia
| | - Victor Mukonka
- School of Public Health and Environmental Sciences, Levy Mwanawasa Medical University, Ministry of Health, Lusaka 10101, Zambia
| | - Roma Chilengi
- Zambia National Public Health Institute, Ministry of Health, Lusaka 10101, Zambia
| | - Jeewan Thapa
- Division of Bioresources, Hokkaido University International Institute for Zoonosis Control, Sapporo 001-0020, Hokkaido, Japan
| | - Chie Nakajima
- Division of Bioresources, Hokkaido University International Institute for Zoonosis Control, Sapporo 001-0020, Hokkaido, Japan
- International Collaboration Unit, Hokkaido University International Institute for Zoonosis Control, Sapporo 001-0020, Hokkaido, Japan
- Institute for Vaccine Research and Development, Hokkaido University, Sapporo 001-0020, Hokkaido, Japan
| | - Yasuhiko Suzuki
- Division of Bioresources, Hokkaido University International Institute for Zoonosis Control, Sapporo 001-0020, Hokkaido, Japan
- International Collaboration Unit, Hokkaido University International Institute for Zoonosis Control, Sapporo 001-0020, Hokkaido, Japan
- Institute for Vaccine Research and Development, Hokkaido University, Sapporo 001-0020, Hokkaido, Japan
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Analysis of the twenty-six largest outbreaks of tuberculosis in Aragon using whole-genome sequencing for surveillance purposes. Sci Rep 2022; 12:18766. [PMID: 36335223 PMCID: PMC9637126 DOI: 10.1038/s41598-022-23343-1] [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: 06/29/2022] [Accepted: 10/30/2022] [Indexed: 11/08/2022] Open
Abstract
The incidence of tuberculosis in Aragon, Spain, is around ten cases per 100,000 inhabitants. Since 2004, a molecular surveillance protocol has been carried out; therefore, all M. tuberculosis strains are genotyped. Recently, whole-genome sequencing has been implemented for relevant isolates. The aim of this work is to characterise at the molecular level the causative strains of the 26 largest outbreaks of the community (including ten or more cases), genotyped by IS6110-RFLP and causing 26% of tuberculosis cases. To achieve this objective, two or three isolates of each IS6110-cluster belonging to different years were selected for sequencing. We found that strains of lineages L4.8, L4.3 and L4.1.2 were the most frequent. The threshold of 12 SNPs as the maximum distance for confirming the belonging to an outbreak was met for 18 of the 26 IS6110-clusters. Four pairs of isolates with more than 90 SNPs were identified as not belonging to the same strain, and four other pairs were kept in doubt as the number of SNPs was close to 12, between 14 and 35. The study of Regions of Difference revealed that they are lineage conserved. Moreover, we could analyse the IS6110 locations for all genome-sequenced isolates, finding some frequent locations in isolates belonging to the same lineage and certain IS6110 movements between the paired isolates. In the vast majority, these movements were not captured by the IS6110-RFLP pattern. After classifying the genes containing SNP by their functional category, we could confirm that the number of SNPs detected in genes considered as virulence factors and the number of cases the strain produced were not related, suggesting that a particular SNP is more relevant than the number. The characteristics found in the most successful strains in our community could be useful for other researchers in epidemiology, virulence and pathogenesis.
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6
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Comín J, Cebollada A, Samper S. Estimation of the mutation rate of Mycobacterium tuberculosis in cases with recurrent tuberculosis using whole genome sequencing. Sci Rep 2022; 12:16728. [PMID: 36202945 PMCID: PMC9537313 DOI: 10.1038/s41598-022-21144-0] [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: 06/23/2022] [Accepted: 09/22/2022] [Indexed: 12/04/2022] Open
Abstract
The study of tuberculosis latency is problematic due to the difficulty of isolating the bacteria in the dormancy state. Despite this, several in vivo approaches have been taken to mimic the latency process. Our group has studied the evolution of the bacteria in 18 cases of recurrent tuberculosis. We found that HIV positive patients develop recurrent tuberculosis earlier, generally in the first two years (p value = 0.041). The genome of the 36 Mycobacterium tuberculosis paired isolates (first and relapsed isolates) showed that none of the SNPs found within each pair was observed more than once, indicating that they were not directly related to the recurrence process. Moreover, some IS6110 movements were found in the paired isolates, indicating the presence of different clones within the patient. Finally, our results suggest that the mutation rate remains constant during all the period as no correlation was found between the number of SNPs and the time to relapse.
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Affiliation(s)
- Jessica Comín
- Instituto Aragonés de Ciencias de la Salud, C/de San Juan Bosco, 13, 50009, Zaragoza, Spain.
| | - Alberto Cebollada
- grid.419040.80000 0004 1795 1427Unidad de Biocomputación, Instituto Aragonés de Ciencias de la Salud, C/de San Juan Bosco, 13, 50009 Zaragoza, Spain
| | | | - Sofía Samper
- grid.419040.80000 0004 1795 1427Instituto Aragonés de Ciencias de la Salud, C/de San Juan Bosco, 13, 50009 Zaragoza, Spain ,grid.488737.70000000463436020Fundación IIS Aragón, C/de San Juan Bosco, 13, 50009 Zaragoza, Spain ,grid.512891.6CIBER de Enfermedades Respiratorias, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029 Madrid, Spain
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7
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Compilation of 10 Years of MIRU-VNTR Data: Canadian National Tuberculosis Laboratory’s Experience. CANADIAN JOURNAL OF INFECTIOUS DISEASES AND MEDICAL MICROBIOLOGY 2022; 2022:3505142. [PMID: 36046174 PMCID: PMC9424012 DOI: 10.1155/2022/3505142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 07/06/2022] [Accepted: 08/02/2022] [Indexed: 11/17/2022]
Abstract
Tuberculosis is a significant cause of morbidity worldwide and is a priority at the provincial and federal levels in Canada. It is known that tuberculosis transmission networks are complex and span many years as well as different jurisdictions and countries. MIRU-VNTR is a universal tuberculosis genotyping method that utilizes a 24-loci pattern and it has shown promise in identifying inter and intrajurisdictional clusters within Canada. MIRU-VNTR data collected over 10 years from the National Reference Centre for Mycobacteriology (NRCM) were analyzed in this study. Some clusters were unique to a single province/territory, while others spanned multiple provinces and/or territories in Canada. The use of a universal laboratory test can enhance contact tracing, provide geographical information on circulating genotypes, and hence, aid in tuberculosis investigation by public health. The housing of all data on one platform, technical ease of the method, easy exchange of data between jurisdictions, and strong collaboration with laboratories and surveillance units at the provincial and federal levels have the potential to identify possible outbreaks in real time.
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8
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Comín J, Madacki J, Rabanaque I, Zúñiga-Antón M, Ibarz D, Cebollada A, Viñuelas J, Torres L, Sahagún J, Klopp C, Gonzalo-Asensio J, Brosch R, Iglesias MJ, Samper S. The MtZ Strain: Molecular Characteristics and Outbreak Investigation of the Most Successful Mycobacterium tuberculosis Strain in Aragon Using Whole-Genome Sequencing. Front Cell Infect Microbiol 2022; 12:887134. [PMID: 35685752 PMCID: PMC9173592 DOI: 10.3389/fcimb.2022.887134] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
Since 2004, a tuberculosis surveillance protocol has been carried out in Aragon, thereby managing to detect all tuberculosis outbreaks that take place in the community. The largest outbreak was caused by a strain named Mycobacterium tuberculosis Zaragoza (MtZ), causing 242 cases as of 2020. The main objective of this work was to analyze this outbreak and the molecular characteristics of this successful strain that could be related to its greater transmission. To do this, we first applied whole-genome sequencing to 57 of the isolates. This revealed two principal transmission clusters and six subclusters arising from them. The MtZ strain belongs to L4.8 and had eight specific single nucleotide polymorphisms (SNPs) in genes considered to be virulence factors [ptpA, mc3D, mc3F, VapB41, pks15 (two SNPs), virS, and VapC50]. Second, a transcriptomic study was carried out to better understand the multiple IS6110 copies present in its genome. This allowed us to observe three effects of IS6110: the disruption of the gene in which the IS6110 is inserted (desA3), the overexpression of a gene (ppe38), and the absence of transcription of genes (cut1:Rv1765c) due to the recombination of two IS6110 copies. Finally, because of the disruption of ppe38 and ppe71 genes by an IS6110, a study of PE_PGRS secretion was carried out, showing that MtZ secretes these factors in higher amounts than the reference strain, thereby differing from the hypervirulent phenotype described for the Beijing strains. In conclusion, MtZ consists of several SNPs in genes related to virulence, pathogenesis, and survival, as well as other genomic polymorphisms, which may be implicated in its success among our population.
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Affiliation(s)
- Jessica Comín
- Grupo de Genética de Micobacterias, Instituto Aragonés de Ciencias de la Salud, Zaragoza, Spain
| | - Jan Madacki
- Unit for Integrated Mycobacterial Pathogenomics, Institut Pasteur, Université de Paris, CNRS UMR 3525, Paris, France
| | - Isabel Rabanaque
- Departamento de Geografía y Ordenación del Territorio, Universidad de Zaragoza, Zaragoza, Spain.,Instituto Universitario de Investigación en Ciencias Ambientales de Aragón, Zaragoza, Spain.,Fundación Instituto de Investigación Sanitaria (IIS) Aragón, Zaragoza, Spain
| | - María Zúñiga-Antón
- Departamento de Geografía y Ordenación del Territorio, Universidad de Zaragoza, Zaragoza, Spain.,Instituto Universitario de Investigación en Ciencias Ambientales de Aragón, Zaragoza, Spain.,Fundación Instituto de Investigación Sanitaria (IIS) Aragón, Zaragoza, Spain
| | - Daniel Ibarz
- Grupo de Genética de Micobacterias, Facultad de Medicina, Universidad de Zaragoza, Zaragoza, Spain
| | - Alberto Cebollada
- Unidad de Biocomputación, Instituto Aragonés de Ciencias de la Salud, Zaragoza, Spain
| | - Jesús Viñuelas
- Hospital Universitario Miguel Servet, Zaragoza, Spain.,Grupo de Estudio de Infecciones por Micobacterias (GEIM), Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica, Madrid, Spain
| | | | - Juan Sahagún
- Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
| | | | - Jesús Gonzalo-Asensio
- Grupo de Genética de Micobacterias, Facultad de Medicina, Universidad de Zaragoza, Zaragoza, Spain
| | - Roland Brosch
- Unit for Integrated Mycobacterial Pathogenomics, Institut Pasteur, Université de Paris, CNRS UMR 3525, Paris, France
| | - María-José Iglesias
- Fundación Instituto de Investigación Sanitaria (IIS) Aragón, Zaragoza, Spain.,Grupo de Genética de Micobacterias, Facultad de Medicina, Universidad de Zaragoza, Zaragoza, Spain.,Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Respiratorias, Madrid, Spain
| | - Sofía Samper
- Grupo de Genética de Micobacterias, Instituto Aragonés de Ciencias de la Salud, Zaragoza, Spain.,Fundación Instituto de Investigación Sanitaria (IIS) Aragón, Zaragoza, Spain.,Centro de Investigación Biomédica en Red (CIBER) de Enfermedades Respiratorias, Madrid, Spain
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9
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Nelson KN, Talarico S, Poonja S, McDaniel CJ, Cilnis M, Chang AH, Raz K, Noboa WS, Cowan L, Shaw T, Posey J, Silk BJ. Mutation of Mycobacterium tuberculosis and Implications for Using Whole-Genome Sequencing for Investigating Recent Tuberculosis Transmission. Front Public Health 2022; 9:790544. [PMID: 35096744 PMCID: PMC8793027 DOI: 10.3389/fpubh.2021.790544] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/09/2021] [Indexed: 11/26/2022] Open
Abstract
Tuberculosis (TB) control programs use whole-genome sequencing (WGS) of Mycobacterium tuberculosis (Mtb) for detecting and investigating TB case clusters. Existence of few genomic differences between Mtb isolates might indicate TB cases are the result of recent transmission. However, the variable and sometimes long duration of latent infection, combined with uncertainty in the Mtb mutation rate during latency, can complicate interpretation of WGS results. To estimate the association between infection duration and single nucleotide polymorphism (SNP) accumulation in the Mtb genome, we first analyzed pairwise SNP differences among TB cases from Los Angeles County, California, with strong epidemiologic links. We found that SNP distance alone was insufficient for concluding that cases are linked through recent transmission. Second, we describe a well-characterized cluster of TB cases in California to illustrate the role of genomic data in conclusions regarding recent transmission. Longer presumed latent periods were inconsistently associated with larger SNP differences. Our analyses suggest that WGS alone cannot be used to definitively determine that a case is attributable to recent transmission. Methods for integrating clinical, epidemiologic, and genomic data can guide conclusions regarding the likelihood of recent transmission, providing local public health practitioners with better tools for monitoring and investigating TB transmission.
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Affiliation(s)
- Kristin N Nelson
- Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Sarah Talarico
- Division of Tuberculosis Elimination, National Center for HIV/AIDS (Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome), Viral Hepatitis, STD (Sexually Transmitted Diseases), and Tuberculosis (TB) Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Shameer Poonja
- Los Angeles County Department of Public Health, Los Angeles, CA, United States
| | - Clinton J McDaniel
- Division of Tuberculosis Elimination, National Center for HIV/AIDS (Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome), Viral Hepatitis, STD (Sexually Transmitted Diseases), and Tuberculosis (TB) Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Martin Cilnis
- TB Control Branch, California Department of Public Health, Richmond, CA, United States
| | - Alicia H Chang
- Los Angeles County Department of Public Health, Los Angeles, CA, United States
| | - Kala Raz
- Division of Tuberculosis Elimination, National Center for HIV/AIDS (Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome), Viral Hepatitis, STD (Sexually Transmitted Diseases), and Tuberculosis (TB) Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Wendy S Noboa
- Los Angeles County Department of Public Health, Los Angeles, CA, United States
| | - Lauren Cowan
- Division of Tuberculosis Elimination, National Center for HIV/AIDS (Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome), Viral Hepatitis, STD (Sexually Transmitted Diseases), and Tuberculosis (TB) Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Tambi Shaw
- TB Control Branch, California Department of Public Health, Richmond, CA, United States
| | - James Posey
- Division of Tuberculosis Elimination, National Center for HIV/AIDS (Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome), Viral Hepatitis, STD (Sexually Transmitted Diseases), and Tuberculosis (TB) Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Benjamin J Silk
- Division of Tuberculosis Elimination, National Center for HIV/AIDS (Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome), Viral Hepatitis, STD (Sexually Transmitted Diseases), and Tuberculosis (TB) Prevention, Centers for Disease Control and Prevention, Atlanta, GA, United States
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10
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Oostvogels S, Ley SD, Heupink TH, Dippenaar A, Streicher EM, De Vos E, Meehan CJ, Dheda K, Warren R, Van Rie A. Transmission, distribution and drug resistance-conferring mutations of extensively drug-resistant tuberculosis in the Western Cape Province, South Africa. Microb Genom 2022; 8. [PMID: 35471145 PMCID: PMC9453078 DOI: 10.1099/mgen.0.000815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Extensively drug-resistant tuberculosis (XDR-TB), defined as resistance to at least isoniazid (INH), rifampicin (RIF), a fluoroquinolone (FQ) and a second-line injectable drug (SLID), is difficult to treat and poses a major threat to TB control. The transmission dynamics and distribution of XDR Mycobacterium tuberculosis (Mtb) strains have not been thoroughly investigated. Using whole genome sequencing data on 461 XDR-Mtb strains, we aimed to investigate the geographical distribution of XDR-Mtb strains in the Western Cape Province of South Africa over a 10 year period (2006–2017) and assess the association between Mtb sub-lineage, age, gender, geographical patient location and membership or size of XDR-TB clusters. First, we identified transmission clusters by excluding drug resistance-conferring mutations and using the 5 SNP cutoff, followed by merging clusters based on their most recent common ancestor. We then consecutively included variants conferring resistance to INH, RIF, ethambutol (EMB), pyrazinamide (PZA), SLIDs and FQs in the cluster definition. Cluster sizes were classified as small (2–4 isolates), medium (5–20 isolates), large (21–100 isolates) or very large (>100 isolates) to reflect the success of individual strains. We found that most XDR-TB strains were clustered and that including variants conferring resistance to INH, RIF, EMB, PZA and SLIDs in the cluster definition did not significantly reduce the proportion of clustered isolates (85.5–82.2 %) but increased the number of patients belonging to small clusters (4.3–12.4 %, P=0.56). Inclusion of FQ resistance-conferring variants had the greatest effect, with 11 clustered isolates reclassified as unique while the number of clusters increased from 17 to 37. Lineage 2 strains (lineage 2.2.1 typical Beijing or lineage 2.2.2 atypical Beijing) showed the large clusters which were spread across all health districts of the Western Cape Province. We identified a significant association between residence in the Cape Town metropole and cluster membership (P=0.016) but no association between gender, age and cluster membership or cluster size (P=0.39). Our data suggest that the XDR-TB epidemic in South Africa probably has its origin in the endemic spread of MDR Mtb and pre-XDR Mtb strains followed by acquisition of FQ resistance, with more limited transmission of XDR Mtb strains. This only became apparent with the inclusion of drug resistance-conferring variants in the definition of a cluster. In addition to the prevention of amplification of resistance, rapid diagnosis of MDR, pre-XDR and XDR-TB and timely initiation of appropriate treatment is needed to reduce transmission of difficult-to-treat TB.
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Affiliation(s)
- Selien Oostvogels
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- *Correspondence: Selien Oostvogels,
| | - Serej D. Ley
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Cape Town, South Africa
- Present address: Sefunda AG, Muttenz, Switzerland
| | - Tim H. Heupink
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Anzaan Dippenaar
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
| | - Elizabeth M. Streicher
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Cape Town, South Africa
| | - Elise De Vos
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Conor J. Meehan
- Unit of Mycobacteriology, Institute of Tropical Medicine, Antwerp, Belgium
- Department of Biosciences, Nottingham Trent University, Nottingham, UK
| | - Keertan Dheda
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute, South Africa
- South African MRC Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa
- Faculty of Infectious and Tropical Diseases, Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, UK
| | - Rob Warren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Stellenbosch University, Cape Town, South Africa
| | - Annelies Van Rie
- Family Medicine and Population Health (FAMPOP), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
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11
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Whole-Genome Sequencing Reveals Recent Transmission of Multidrug-Resistant Mycobacterium tuberculosis CAS1-Kili Strains in Lusaka, Zambia. Antibiotics (Basel) 2021; 11:antibiotics11010029. [PMID: 35052906 PMCID: PMC8773284 DOI: 10.3390/antibiotics11010029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/16/2021] [Accepted: 12/21/2021] [Indexed: 11/17/2022] Open
Abstract
Globally, tuberculosis (TB) is a major cause of death due to antimicrobial resistance. Mycobacterium tuberculosis CAS1-Kili strains that belong to lineage 3 (Central Asian Strain, CAS) were previously implicated in the spread of multidrug-resistant (MDR)-TB in Lusaka, Zambia. Thus, we investigated recent transmission of those strains by whole-genome sequencing (WGS) with Illumina MiSeq platform. Twelve MDR CAS1-Kili isolates clustered by traditional methods (MIRU-VNTR and spoligotyping) were used. A total of 92% (11/12) of isolates belonged to a cluster (≤12 SNPs) while 50% (6/12) were involved in recent transmission events, as they differed by ≤5 SNPs. All the isolates had KatG Ser315Thr (isoniazid resistance), EmbB Met306 substitutions (ethambutol resistance) and several kinds of rpoB mutations (rifampicin resistance). WGS also revealed compensatory mutations including a novel deletion in embA regulatory region (−35A > del). Several strains shared the same combinations of drug-resistance-associated mutations indicating transmission of MDR strains. Zambian strains belonged to the same clade as Tanzanian, Malawian and European strains, although most of those were pan-drug-susceptible. Hence, complimentary use of WGS to traditional epidemiological methods provides an in-depth insight on transmission and drug resistance patterns which can guide targeted control measures to stop the spread of MDR-TB.
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12
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Asare P, Asante-Poku A, Osei-Wusu S, Otchere ID, Yeboah-Manu D. The Relevance of Genomic Epidemiology for Control of Tuberculosis in West Africa. Front Public Health 2021; 9:706651. [PMID: 34368069 PMCID: PMC8342769 DOI: 10.3389/fpubh.2021.706651] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 06/29/2021] [Indexed: 12/30/2022] Open
Abstract
Tuberculosis (TB), an airborne infectious disease caused by Mycobacterium tuberculosis complex (MTBC), remains a global health problem. West Africa has a unique epidemiology of TB that is characterized by medium- to high-prevalence. Moreover, the geographical restriction of M. africanum to the sub-region makes West Africa have an extra burden to deal with a two-in-one pathogen. The region is also burdened with low case detection, late reporting, poor treatment adherence leading to development of drug resistance and relapse. Sporadic studies conducted within the subregion report higher burden of drug resistant TB (DRTB) than previously thought. The need for more sensitive and robust tools for routine surveillance as well as to understand the mechanisms of DRTB and transmission dynamics for the design of effective control tools, cannot be overemphasized. The advancement in molecular biology tools including traditional fingerprinting and next generation sequencing (NGS) technologies offer reliable tools for genomic epidemiology. Genomic epidemiology provides in-depth insight of the nature of pathogens, circulating strains and their spread as well as prompt detection of the emergence of new strains. It also offers the opportunity to monitor treatment and evaluate interventions. Furthermore, genomic epidemiology can be used to understand potential emergence and spread of drug resistant strains and resistance mechanisms allowing the design of simple but rapid tools. In this review, we will describe the local epidemiology of MTBC, highlight past and current investigations toward understanding their biology and spread as well as discuss the relevance of genomic epidemiology studies to TB control in West Africa.
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Affiliation(s)
- Prince Asare
- College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Adwoa Asante-Poku
- College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Stephen Osei-Wusu
- College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Isaac Darko Otchere
- College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
| | - Dorothy Yeboah-Manu
- College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana
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13
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Merker M, Nikolaevskaya E, Kohl TA, Molina-Moya B, Pavlovska O, Brännberg P, Dudnyk A, Stokich V, Barilar I, Marynova I, Filipova T, Prat C, Sjöstedt A, Dominguez J, Rzhepishevska O, Niemann S. Multidrug- and Extensively Drug-Resistant Mycobacterium tuberculosis Beijing Clades, Ukraine, 2015. Emerg Infect Dis 2021; 26:481-490. [PMID: 32091369 PMCID: PMC7045844 DOI: 10.3201/eid2603.190525] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis (TB) is an emerging threat to TB control in Ukraine, a country with the third highest XDR TB burden globally. We used whole-genome sequencing of a convenience sample to identify bacterial genetic and patient-related factors associated with MDR/XDR TB in this country. MDR/XDR TB was associated with 3 distinct Mycobacterium tuberculosis complex lineage 2 (Beijing) clades, Europe/Russia W148 outbreak, Central Asia outbreak, and Ukraine outbreak, which comprised 68.9% of all MDR/XDR TB strains from southern Ukraine. MDR/XDR TB was also associated with previous treatment for TB and urban residence. The circulation of Beijing outbreak strains harboring broad drug resistance, coupled with constraints in drug supply and limited availability of phenotypic drug susceptibility testing, needs to be considered when new TB management strategies are implemented in Ukraine.
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14
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Asare P, Osei-Wusu S, Baddoo NA, Bedeley E, Otchere ID, Brites D, Loiseau C, Asante-Poku A, Prah DA, Borrell S, Reinhard M, Omari MA, Forson A, Koram KA, Gagneux S, Yeboah-Manu D. Genomic epidemiological analysis identifies high relapse among individuals with recurring tuberculosis and provides evidence of recent household-related transmission of tuberculosis in Ghana. Int J Infect Dis 2021; 106:13-22. [PMID: 33667696 PMCID: PMC8134059 DOI: 10.1016/j.ijid.2021.02.110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 02/25/2021] [Accepted: 02/25/2021] [Indexed: 11/29/2022] Open
Abstract
Unresolved previous infection as major cause of recurring tuberculosis (TB) in Ghana. Genomic epidemiology identifies high relapse among recurrent TB cases in Ghana. 15-locus MIRU-VNTR typing is sufficient to predict the cause of TB recurrence. Evidence of recent household-related TB transmission in Ghana. Need for increased education by national TB control program.
Objective To retrospectively investigate the cause of recurring tuberculosis (rcTB) among participants with pulmonary TB recruited from a prospective population-based study conducted between July 2012 and December 2015. Methods Mycobacterium tuberculosis complex isolates obtained from rcTB cases were characterized by standard mycobacterial genotyping tools, whole-genome sequencing, and phylogenetic analysis carried out to assess strain relatedness. Results The majority (58.3%, 21/36) of study participants with rcTB episodes had TB recurrence within 12 months post treatment. TB strains with isoniazid (INH) resistance were found in 19.4% (7/36) of participants at the primary episode, of which 29% (2/7) were also rifampicin-resistant. On TB recurrence, an INH-resistant strain was found in a larger proportion of participants, 27.8% (10/36), of which 40% (4/10) were MDR-TB strains. rcTB was attributed to relapse (same strain) in 75.0% (27/36) of participants and 25.0% (9/36) to re-infection. Conclusion Our findings indicate that previous unresolved infectiondue to inadequate treatment, may be the major cause of rcTB.
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Affiliation(s)
- Prince Asare
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana; West African Centre for Cell Biology of Infectious Pathogens, UG, Ghana; Department of Biochemistry, Cell and Molecular Biology, UG, Ghana.
| | - Stephen Osei-Wusu
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | | | - Edmund Bedeley
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | - Isaac Darko Otchere
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | - Daniela Brites
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Chloé Loiseau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Adwoa Asante-Poku
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | - Diana Ahu Prah
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | - Sonia Borrell
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Miriam Reinhard
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Michael Amo Omari
- Department of Chest Diseases, Korle-Bu Teaching Hospital, Korle-Bu, Accra, Ghana
| | - Audrey Forson
- Department of Chest Diseases, Korle-Bu Teaching Hospital, Korle-Bu, Accra, Ghana
| | - Kwadwo Ansah Koram
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Dorothy Yeboah-Manu
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana (UG), Ghana; West African Centre for Cell Biology of Infectious Pathogens, UG, Ghana
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15
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Cheng B, Behr MA, Howden BP, Cohen T, Lee RS. Reporting practices for genomic epidemiology of tuberculosis: a systematic review of the literature using STROME-ID guidelines as a benchmark. THE LANCET. MICROBE 2021; 2:e115-e129. [PMID: 33842904 PMCID: PMC8034592 DOI: 10.1016/s2666-5247(20)30201-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
BACKGROUND Pathogen genomics have become increasingly important in infectious disease epidemiology and public health. The Strengthening the Reporting of Molecular Epidemiology for Infectious Diseases (STROME-ID) guidelines were developed to outline a minimum set of criteria that should be reported in genomic epidemiology studies to facilitate assessment of study quality. We evaluate such reporting practices, using tuberculosis as an example. METHODS For this systematic review, we initially searched MEDLINE, Embase Classic, and Embase on May 3, 2017, using the search terms "tuberculosis" and "genom* sequencing". We updated this initial search on April 23, 2019, and also included a search of bioRxiv at this time. We included studies in English, French, or Spanish that recruited patients with microbiologically confirmed tuberculosis and used whole genome sequencing for typing of strains. Non-human studies, conference abstracts, and literature reviews were excluded. For each included study, the number and proportion of fulfilled STROME-ID criteria were recorded by two reviewers. A comparison of the mean proportion of fulfilled STROME-ID criteria before and after publication of the STROME-ID guidelines (in 2014) was done using a two-tailed t test. Quasi-Poisson regression and tobit regression were used to examine associations between study characteristics and the number and proportion of fulfilled STROME-ID criteria. This study was registered with PROSPERO, CRD42017064395. FINDINGS 976 titles and abstracts were identified by our primary search, with an additional 16 studies identified in bioRxiv. 114 full texts (published between 2009 and 2019) were eligible for inclusion. The mean proportion of STROME-ID criteria fulfilled was 50% (SD 12; range 16-75). The proportion of criteria fulfilled was similar before and after STROME-ID publication (51% [SD 11] vs 46% [14], p=0·26). The number of criteria reported (among those applicable to all studies) was not associated with impact factor, h-index, country of affiliation of senior author, or sample size of isolates. Similarly, the proportion of criteria fulfilled was not associated with these characteristics, with the exception of a sample size of isolates of 277 or more (the highest quartile). In terms of reproducibility, 100 (88%) studies reported which bioinformatic tools were used, but only 33 (33%) reported corresponding version numbers. Sequencing data were available for 86 (75%) studies. INTERPRETATION The reporting of STROME-ID criteria in genomic epidemiology studies of tuberculosis between 2009 and 2019 was low, with implications for assessment of study quality. The considerable proportion of studies without bioinformatics version numbers or sequencing data available highlights a key concern for reproducibility.
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Affiliation(s)
- Brianna Cheng
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Marcel A Behr
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Benjamin P Howden
- The Microbiological Diagnostic Unit Public Health Laboratory, Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | | | - Robyn S Lee
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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16
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Brown J, Ring K, White J, Mackie NE, Abubakar I, Lipman M. Contact tracing for SARS-CoV-2: what can be learned from other conditions? Clin Med (Lond) 2021; 21:e132-e136. [PMID: 33541911 PMCID: PMC8002783 DOI: 10.7861/clinmed.2020-0643] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Contact tracing is central to the public health response to COVID-19, but the approach taken has received criticism for failing to make enough of an impact on disease transmission. We discuss what can be learned from contact tracing in other infections, and how the natural history of COVID-19 should shape the strategies used.
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Affiliation(s)
- James Brown
- Royal Free London NHS Foundation Trust, London, UK
| | - Kyle Ring
- Imperial College Healthcare NHS Trust, London, UK
| | - Jacqui White
- North Central London TB Service, Whittington Health, London, UK
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17
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Identification of a predominant genotype of Mycobacterium tuberculosis in Brazilian indigenous population. Sci Rep 2021; 11:1224. [PMID: 33441660 PMCID: PMC7806709 DOI: 10.1038/s41598-020-79621-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 12/07/2020] [Indexed: 11/30/2022] Open
Abstract
After nearly a century of vaccination and six decades of drug therapy, tuberculosis (TB) kills more people annually than any other infectious disease. Substantial challenges to disease eradication remain among vulnerable and underserved populations. The Guarani-Kaiowá people are an indigenous population in Paraguay and the Brazilian state of Mato Grosso do Sul. This community, marginalized in Brazilian society, experiences severe poverty. Like other South American indigenous populations, their TB prevalence is high, but the disease has remained largely unstudied in their communities. Herein, Mycobacterium tuberculosis isolates from local clinics were whole genome sequenced, and a population genetic framework was generated. Phylogenetics show M. tuberculosis isolates in the Guarani-Kaiowá people cluster away from selected reference strains, suggesting divergence. Most cluster in a single group, further characterized as M. tuberculosis sublineage 4.3.3. Closer analysis of SNPs showed numerous variants across the genome, including in drug resistance-associated genes, and with many unique changes fixed in each group. We report that local M. tuberculosis strains have acquired unique polymorphisms in the Guarani-Kaiowá people, and drug resistance characterization is urgently needed to inform public health to ensure proper care and avoid further evolution and spread of drug-resistant TB.
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18
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Wolf A, Padayatchi N, Naidoo K, Master I, Mathema B, O'Donnell MR. Spatiotemporal Clustering of Multidrug-Resistant and Extensively Drug-Resistant Tuberculosis Is Associated With Human Immunodeficiency Virus Status and Drug-Susceptibility Patterns in KwaZulu-Natal, South Africa. Clin Infect Dis 2021; 70:2224-2227. [PMID: 31538648 DOI: 10.1093/cid/ciz913] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 09/17/2019] [Indexed: 12/21/2022] Open
Abstract
Using an open-access spatiotemporal analytics program, we mapped spatiotemporal heterogeneity loci in tuberculosis (TB) cases (clusters) and dynamic changes, and characterized the drug-resistant TB clustering risk using routine microbiological data from KwaZulu-Natal, South Africa. The data may provide insight into transmission dynamics and support efficient deployment of public health resources.
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Affiliation(s)
- Allison Wolf
- Division of Pulmonary, Allergy, and Critical Care Medicine, Columbia University Medical Center, New York, New York, USA
| | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa Medical Research Council- Human Immunodeficiency Virus-Tuberculosis Pathogenesis and Treatment Research Unit, Durban, South Africa
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa Medical Research Council- Human Immunodeficiency Virus-Tuberculosis Pathogenesis and Treatment Research Unit, Durban, South Africa
| | - Iqbal Master
- King DinuZulu Medical Complex, Durban, South Africa
| | - Barun Mathema
- Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, New York, USA
| | - Max R O'Donnell
- Division of Pulmonary, Allergy, and Critical Care Medicine, Columbia University Medical Center, New York, New York, USA.,Centre for the AIDS Programme of Research in South Africa Medical Research Council- Human Immunodeficiency Virus-Tuberculosis Pathogenesis and Treatment Research Unit, Durban, South Africa.,Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, New York, USA
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19
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Comín J, Cebollada A, Ibarz D, Viñuelas J, Vitoria MA, Iglesias MJ, Samper S. A whole-genome sequencing study of an X-family tuberculosis outbreak focus on transmission chain along 25 years. Tuberculosis (Edinb) 2020; 126:102022. [PMID: 33341027 DOI: 10.1016/j.tube.2020.102022] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/13/2020] [Accepted: 11/15/2020] [Indexed: 01/31/2023]
Abstract
Lineage 4/X-family of Mycobacterium tuberculosis is not very notorious, except for the CDC1551 strain. One strain of this family, named Ara50, caused one of the largest tuberculosis outbreaks of the Aragon region, Spain, during the 1990s and remained until 2018. These X-strains are characterised by high transmissibility and by carrying a low copy number of IS6110 in their genomes. Epidemiological data of the 61 patients consisted of inmates, HIV seropositives, intravenous drug users and the homeless. The application of whole-genome sequencing (WGS) to 36 out of 61 isolates, selected by IS6110-RFLP, allowed to confirm 32 as recent transmissions. We found 10 SNPs in genes considered as virulence factors, five of them specific of this strain. WGS identified three sub-clusters (CLSs). The largest one, sub-CLS 1, included 10 cases. Seven of them shared a SNP in the mce3C gene, considered a virulence factor gene. Sub-CLS 2 involved familiar cases, and no link was known for sub-CLS 3. Finally, the strain showed efficacy in latency as a confirmed epidemiological link was established between two cases, with 6 years of distance in their diagnosis. This outbreak study combined epidemiological and molecular analyses in order to elucidate tuberculosis transmission.
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Affiliation(s)
- Jessica Comín
- Instituto Aragonés de Ciencias de la Salud, Zaragoza, C/de San Juan Bosco, 13, 50009, Zaragoza, Spain.
| | - Alberto Cebollada
- Instituto Aragonés de Ciencias de la Salud, Zaragoza, C/de San Juan Bosco, 13, 50009, Zaragoza, Spain.
| | - Daniel Ibarz
- Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain.
| | - Jesús Viñuelas
- Hospital Universitario Miguel Servet, Paseo Isabel la Católica, 1-3, 50009, Zaragoza, Spain; Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica, C/Agustín de Bentacourt, No 13, 28003, Madrid, Spain; Fundación IIS Aragón, C/de San Juan Bosco, 13, 50009, Zaragoza, Spain.
| | - María Asunción Vitoria
- Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica, C/Agustín de Bentacourt, No 13, 28003, Madrid, Spain; Hospital Clínico Universitario Lozano Blesa, Avda. San Juan Bosco, 15, 50009, Zaragoza, Spain.
| | - María José Iglesias
- Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain; Fundación IIS Aragón, C/de San Juan Bosco, 13, 50009, Zaragoza, Spain; CIBER de Enfermedades Respiratorias, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029, Madrid, Spain.
| | - Sofía Samper
- Instituto Aragonés de Ciencias de la Salud, Zaragoza, C/de San Juan Bosco, 13, 50009, Zaragoza, Spain; Fundación IIS Aragón, C/de San Juan Bosco, 13, 50009, Zaragoza, Spain; CIBER de Enfermedades Respiratorias, Av. Monforte de Lemos, 3-5. Pabellón 11, Planta 0, 28029, Madrid, Spain.
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20
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DNA Thermo-Protection Facilitates Whole-Genome Sequencing of Mycobacteria Direct from Clinical Samples. J Clin Microbiol 2020; 58:JCM.00670-20. [PMID: 32719032 PMCID: PMC7512152 DOI: 10.1128/jcm.00670-20] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 07/15/2020] [Indexed: 02/03/2023] Open
Abstract
Mycobacterium tuberculosis is the leading cause of death from bacterial infection. Improved rapid diagnosis and antimicrobial resistance determination, such as by whole-genome sequencing, are required. Our aim was to develop a simple, low-cost method of preparing DNA for sequencing direct from M. tuberculosis-positive clinical samples (without culture). Simultaneous sputum liquefaction, bacteria heat inactivation (99°C/30 min), and enrichment for mycobacteria DNA were achieved using an equal volume of thermo-protection buffer (4 M KCl, 0. Mycobacterium tuberculosis is the leading cause of death from bacterial infection. Improved rapid diagnosis and antimicrobial resistance determination, such as by whole-genome sequencing, are required. Our aim was to develop a simple, low-cost method of preparing DNA for sequencing direct from M. tuberculosis-positive clinical samples (without culture). Simultaneous sputum liquefaction, bacteria heat inactivation (99°C/30 min), and enrichment for mycobacteria DNA were achieved using an equal volume of thermo-protection buffer (4 M KCl, 0.05 M HEPES buffer, pH 7.5, 0.1% dithiothreitol [DTT]). The buffer emulated intracellular conditions found in hyperthermophiles, thus protecting DNA from rapid thermodegradation, which renders it a poor template for sequencing. Initial validation experiments employed mycobacteria DNA, either extracted or intracellular. Next, mock clinical samples (infection-negative human sputum spiked with 0 to 105Mycobacterium bovis BCG cells/ml) underwent liquefaction in thermo-protection buffer and heat inactivation. DNA was extracted and sequenced. Human DNA degraded faster than mycobacteria DNA, resulting in target enrichment. Four replicate experiments achieved M. tuberculosis detection at 101 BCG cells/ml, with 31 to 59 M. tuberculosis complex reads. Maximal genome coverage (>97% at 5× depth) occurred at 104 BCG cells/ml; >91% coverage (1× depth) occurred at 103 BCG cells/ml. Final validation employed M. tuberculosis-positive clinical samples (n = 20), revealing that initial sample volumes of ≥1 ml typically yielded higher mean depths of M. tuberculosis genome coverage, with an overall range of 0.55 to 81.02. A mean depth of 3 gave >96% 1-fold tuberculosis (TB) genome coverage (in 15/20 clinical samples). A mean depth of 15 achieved >99% 5-fold genome coverage (in 9/20 clinical samples). In summary, direct-from-sample sequencing of M. tuberculosis genomes was facilitated by a low-cost thermo-protection buffer.
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21
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Multidrug-resistant Mycobacterium tuberculosis: a report of cosmopolitan microbial migration and an analysis of best management practices. BMC Infect Dis 2020; 20:678. [PMID: 32942990 PMCID: PMC7499973 DOI: 10.1186/s12879-020-05381-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 08/28/2020] [Indexed: 11/17/2022] Open
Abstract
Background Tuberculosis (TB) control is a primary global health priority but the goal to eliminate TB is being threatened by the increase in incidence of multidrug-resistant tuberculosis (MDR-TB). With this series of seven MDR-TB cases in migrant patients with identical Mycobacterium tuberculosis strains we aim to illustrate the challenges encountered during therapy and follow-up: language barriers, access to care for migrant patients, depression due to isolation, adverse reactions to the treatment, management of pediatric TB, further contact tracing. We also discuss best practices for the management of complex MDR-TB cases in settings with low overall TB incidence focusing on modern diagnostic assays and an individualized and an interdisciplinary therapeutic approach. Methods We describe a case series of seven consecutively diagnosed MDR-TB patients, six of them treated at our tertiary care hospital between May 2018 and March 2020. Epidemiologic data was gained by semi-structured patient interviews and reconstruction of the migration route. The origin of the cluster was confirmed by genotyping of the TB-strains. Results Six related patients were diagnosed with pulmonary MDR-TB between May and August 2018. All had a positive Interferon-Gamma-Release Assay (IGRA), in five patients sputum microscopy was positive for acid-fast bacilli (AFB). The genetic and phenotypical drug susceptibility test did not match with MDR-TB strains from an East-African origin. The index patient was identified through genetical fingerprinting. By changing the therapy to a modern MDR-TB regime and using an interdisciplinary and culture-sensitive approach, all patients improved clinically and radiologically. Conclusion Human migration plays an important role for the global spread of MDR-TB in low incidence countries. Early case detection and adequate treatment are key to prevention of outbreaks. Especially language barriers and complex migration routes make genotyping of TB-strains a crucial tool to identify cases clusters, the potential index patient and transmission dynamics. We are fortunate enough to experience times in which new TB-antibiotics were made available and in which molecular assays revolutionized TB-diagnostics. We need to take advantage of that and develop personalized therapies for patients suffering from drug resistant TB.
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22
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Jiang Q, Liu Q, Ji L, Li J, Zeng Y, Meng L, Luo G, Yang C, Takiff HE, Yang Z, Tan W, Yu W, Gao Q. Citywide Transmission of Multidrug-resistant Tuberculosis Under China's Rapid Urbanization: A Retrospective Population-based Genomic Spatial Epidemiological Study. Clin Infect Dis 2020; 71:142-151. [PMID: 31504306 PMCID: PMC8127054 DOI: 10.1093/cid/ciz790] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 08/26/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Population movement could extend multidrug-resistant tuberculosis (MDR-TB) transmission and complicate its global prevalence. We sought to identify the high-risk populations and geographic sites of MDR-TB transmission in Shenzhen, the most common destination for internal migrants in China. METHODS We performed a population-based, retrospective study in patients diagnosed with MDR-TB in Shenzhen during 2013-2017. By defining genomic clusters with a threshold of 12-single-nucleotide polymorphism distance based on whole-genome sequencing of their clinical strains, the clustering rate was calculated to evaluate the level of recent transmission. Risk factors were identified by multivariable logistic regression. To further delineate the epidemiological links, we invited the genomic-clustered patients to an in-depth social network investigation. RESULTS In total, 105 (25.2%) of the 417 enrolled patients with MDR-TB were grouped into 40 genome clusters, suggesting recent transmission of MDR strains. The adjusted risk for student to have a clustered strain was 4.05 (95% confidence interval, 1.06-17.0) times greater than other patients. The majority (70%, 28/40) of the genomic clusters involved patients who lived in different districts, with residences separated by an average of 8.76 kilometers. Other than household members, confirmed epidemiological links were also identified among classmates and workplace colleagues. CONCLUSIONS These findings demonstrate that local transmission of MDR-TB is a serious problem in Shenzhen. While most transmission occurred between people who lived distant from each other, there was clear evidence that transmission occurred in schools and workplaces, which should be included as targeted sites for active case finding.The average residential distance between genomic-clustered cases was more than 8 kilometers, while schools and workplaces, identified as sites of transmission in this study, deserve increased vigilance for targeted case finding of multidrug-resistant tuberculosis.
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Affiliation(s)
- Qi Jiang
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
- Key Laboratory of Medical Molecular Virology (Ministry of Education,National Health Commission, Chinese Academy of Medical Sciences), School of Basic Medical Sciences, Shanghai Medical College and Shanghai Public Health Clinical Center, Fudan University, Shenzhen, China
| | - Qingyun Liu
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
- Key Laboratory of Medical Molecular Virology (Ministry of Education,National Health Commission, Chinese Academy of Medical Sciences), School of Basic Medical Sciences, Shanghai Medical College and Shanghai Public Health Clinical Center, Fudan University, Shenzhen, China
| | - Lecai Ji
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Jinli Li
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Yaling Zeng
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Liangguang Meng
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Geyang Luo
- Key Laboratory of Medical Molecular Virology (Ministry of Education,National Health Commission, Chinese Academy of Medical Sciences), School of Basic Medical Sciences, Shanghai Medical College and Shanghai Public Health Clinical Center, Fudan University, Shenzhen, China
| | - Chongguang Yang
- School of Public Health, Yale University, New Haven, Connecticut, USA
| | - Howard E Takiff
- Integrated Mycobacterial Pathogenomics Unit, Institut Pasteur, Paris, France
- Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Zheng Yang
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Weiguo Tan
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Weiye Yu
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Qian Gao
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
- Key Laboratory of Medical Molecular Virology (Ministry of Education,National Health Commission, Chinese Academy of Medical Sciences), School of Basic Medical Sciences, Shanghai Medical College and Shanghai Public Health Clinical Center, Fudan University, Shenzhen, China
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23
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Asare P, Otchere ID, Bedeley E, Brites D, Loiseau C, Baddoo NA, Asante-Poku A, Osei-Wusu S, Prah DA, Borrell S, Reinhard M, Forson A, Koram KA, Gagneux S, Yeboah-Manu D. Whole Genome Sequencing and Spatial Analysis Identifies Recent Tuberculosis Transmission Hotspots in Ghana. Front Med (Lausanne) 2020; 7:161. [PMID: 32509791 PMCID: PMC7248928 DOI: 10.3389/fmed.2020.00161] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 04/09/2020] [Indexed: 01/08/2023] Open
Abstract
Whole genome sequencing (WGS) is progressively being used to investigate the transmission dynamics of Mycobacterium tuberculosis complex (MTBC). We used WGS analysis to resolve traditional genotype clusters and explored the spatial distribution of confirmed recent transmission clusters. Bacterial genomes from a total of 452 MTBC isolates belonging to large traditional clusters from a population-based study spanning July 2012 and December 2015 were obtained through short read next-generation sequencing using the illumina HiSeq2500 platform. We performed clustering and spatial analysis using specified R packages and ArcGIS. Of the 452 traditional genotype clustered genomes, 314 (69.5%) were confirmed clusters with a median cluster size of 7.5 genomes and an interquartile range of 4–12. Recent tuberculosis (TB) transmission was estimated as 24.7%. We confirmed the wide spread of a Cameroon sub-lineage clone with a cluster size of 78 genomes predominantly from the Ablekuma sub-district of Accra metropolis. More importantly, we identified a recent transmission cluster associated with isoniazid resistance belonging to the Ghana sub-lineage of lineage 4. WGS was useful in detecting unsuspected outbreaks; hence, we recommend its use not only as a research tool but as a surveillance tool to aid in providing the necessary guided steps to track, monitor, and control TB.
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Affiliation(s)
- Prince Asare
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra, Ghana.,West African Centre for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana.,Department of Biochemistry, Cell and Molecular Biology, University of Ghana, Accra, Ghana
| | - Isaac Darko Otchere
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra, Ghana
| | - Edmund Bedeley
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra, Ghana
| | - Daniela Brites
- Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Chloé Loiseau
- Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | | | - Adwoa Asante-Poku
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra, Ghana
| | - Stephen Osei-Wusu
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra, Ghana
| | - Diana Ahu Prah
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra, Ghana
| | - Sonia Borrell
- Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Miriam Reinhard
- Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Audrey Forson
- Department of Chest Diseases, Korle-Bu Teaching Hospital, Korle-Bu, Accra, Ghana
| | - Kwadwo Ansah Koram
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra, Ghana
| | - Sebastien Gagneux
- Department of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Dorothy Yeboah-Manu
- Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra, Ghana.,West African Centre for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana
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Comin J, Chaure A, Cebollada A, Ibarz D, Viñuelas J, Vitoria MA, Iglesias MJ, Samper S. Investigation of a rapidly spreading tuberculosis outbreak using whole-genome sequencing. INFECTION GENETICS AND EVOLUTION 2020; 81:104184. [PMID: 31931260 DOI: 10.1016/j.meegid.2020.104184] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 12/17/2019] [Accepted: 01/06/2020] [Indexed: 12/01/2022]
Abstract
This paper describes the application of whole-genome sequencing (WGS) to investigate an outbreak of Mycobacterium tuberculosis occurring in Aragon, Spain, where strains have been submitted to genotyping since 2004. The responsible outbreak strain appeared in our region first in 2014 and it spread to 14 patients in the following three years. WGS found low variability between the isolates with none of the SNPs differences detected more than once, all of which were attributed to a recent transmission. Although two ambiguous bases linked two cases with those who presented the SNP in the same position, the establishment of a definitive transmission route was not possible. The epidemiological data supported the existence of a super-spreader, probably responsible for the majority of the cases involved since there was a two-year delay in diagnoses among cases. This fact would also help explaining the low variability found. The index case was not identified, possibly because it was not diagnosed in Aragon. In addition WGS characterised the strain as a Linage 4.3.3/LAM family and corroborated the susceptibility to anti-tuberculosis drugs observed by the clinical laboratories. This work shows the need to have epidemiological data to support the genomic data in order to clarify the evolution of tuberculosis outbreaks.
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Affiliation(s)
- Jessica Comin
- Instituto Aragonés de Ciencias de la Salud, Zaragoza, Spain
| | | | | | | | - Jesús Viñuelas
- Hospital Universitario Miguel Servet, Zaragoza, Spain; Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica, Madrid, Spain
| | - María Asunción Vitoria
- Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain; Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica, Madrid, Spain
| | - María José Iglesias
- Universidad de Zaragoza, Zaragoza, Spain; CIBER de enfermedades respiratorias, Madrid, Spain; Fundación IIS Aragón, Zaragoza, Spain
| | - Sofía Samper
- Instituto Aragonés de Ciencias de la Salud, Zaragoza, Spain; CIBER de enfermedades respiratorias, Madrid, Spain; Fundación IIS Aragón, Zaragoza, Spain.
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25
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Al-Mutairi NM, Ahmad S, Mokaddas EM. Molecular characterization of multidrug-resistant Mycobacterium tuberculosis (MDR-TB) isolates identifies local transmission of infection in Kuwait, a country with a low incidence of TB and MDR-TB. Eur J Med Res 2019; 24:38. [PMID: 31806020 PMCID: PMC6894303 DOI: 10.1186/s40001-019-0397-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 11/27/2019] [Indexed: 02/07/2023] Open
Abstract
Background Increasing incidence of multidrug-resistant Mycobacterium tuberculosis infections is hampering global tuberculosis control efforts. Kuwait is a low-tuberculosis-incidence country, and ~ 1% of M. tuberculosis strains are resistant to rifampicin and isoniazid (MDR-TB). This study detected mutations in seven genes predicting resistance to rifampicin, isoniazid, pyrazinamide, ethambutol and streptomycin in MDR-TB strains. Sequence data were combined with spoligotypes for detecting local transmission of MDR-TB in Kuwait. Methods Ninety-three MDR-TB strains isolated from 12 Kuwaiti and 81 expatriate patients and 50 pansusceptible strains were used. Phenotypic drug susceptibility was determined by MGIT 460 TB/960 system. Mutations conferring resistance to rifampicin, isoniazid, pyrazinamide, ethambutol and streptomycin were detected by genotype MTBDRplus assay and/or PCR sequencing of three rpoB regions, katG codon 315 (katG315) + inhA regulatory region, pncA, three embB regions and rpsL + rrs-500–900 regions. Spoligotyping kit was used, spoligotypes were identified by SITVIT2, and phylogenetic tree was constructed by using MIRU-VNTRplus software. Phylogenetic tree was also constructed from concatenated sequences by MEGA7 software. Additional PCR sequencing of gidB and rpsA was performed for cluster isolates. Results Pansusceptible isolates contained wild-type sequences. Mutations in rpoB and katG and/or inhA were detected in 93/93 and 92/93 MDR-TB strains, respectively. Mutations were also detected for pyrazinamide resistance, ethambutol resistance and streptomycin resistance in MDR-TB isolates in pncA, embB and rpsL + rrs, respectively. Spoligotyping identified 35 patterns with 18 isolates exhibiting unique patterns while 75 isolates grouped in 17 patterns. Beijing genotype was most common (32/93), and 11 isolates showed nine orphan patterns. Phylogenetic analysis of concatenated sequences showed unique patterns for 51 isolates while 42 isolates grouped in 16 clusters. Interestingly, 22 isolates in eight clusters by both methods were isolated from TB patients typically within a span of 2 years. Five of eight clusters were confirmed by additional gidB and rpsA sequence data. Conclusions Our study provides the first insight into molecular epidemiology of MDR-TB in Kuwait and identified several potential clusters of local transmission of MDR-TB involving 2–6 subjects which had escaped detection by routine surveillance studies. Prospective detection of resistance-conferring mutations can identify possible cases of local transmission of MDR-TB in low MDR-TB settings.
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Affiliation(s)
- Noura M Al-Mutairi
- Department of Microbiology, Faculty of Medicine, Kuwait University, P. O. Box 24923, 13110, Safat, Kuwait
| | - Suhail Ahmad
- Department of Microbiology, Faculty of Medicine, Kuwait University, P. O. Box 24923, 13110, Safat, Kuwait.
| | - Eiman M Mokaddas
- Department of Microbiology, Faculty of Medicine, Kuwait University, P. O. Box 24923, 13110, Safat, Kuwait
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26
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Cohen KA, Manson AL, Desjardins CA, Abeel T, Earl AM. Deciphering drug resistance in Mycobacterium tuberculosis using whole-genome sequencing: progress, promise, and challenges. Genome Med 2019; 11:45. [PMID: 31345251 PMCID: PMC6657377 DOI: 10.1186/s13073-019-0660-8] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Tuberculosis (TB) is a global infectious threat that is intensified by an increasing incidence of highly drug-resistant disease. Whole-genome sequencing (WGS) studies of Mycobacterium tuberculosis, the causative agent of TB, have greatly increased our understanding of this pathogen. Since the first M. tuberculosis genome was published in 1998, WGS has provided a more complete account of the genomic features that cause resistance in populations of M. tuberculosis, has helped to fill gaps in our knowledge of how both classical and new antitubercular drugs work, and has identified specific mutations that allow M. tuberculosis to escape the effects of these drugs. WGS studies have also revealed how resistance evolves both within an individual patient and within patient populations, including the important roles of de novo acquisition of resistance and clonal spread. These findings have informed decisions about which drug-resistance mutations should be included on extended diagnostic panels. From its origins as a basic science technique, WGS of M. tuberculosis is becoming part of the modern clinical microbiology laboratory, promising rapid and improved detection of drug resistance, and detailed and real-time epidemiology of TB outbreaks. We review the successes and highlight the challenges that remain in applying WGS to improve the control of drug-resistant TB through monitoring its evolution and spread, and to inform more rapid and effective diagnostic and therapeutic strategies.
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Affiliation(s)
- Keira A Cohen
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MA, 21205, USA.
| | - Abigail L Manson
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA
| | - Christopher A Desjardins
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA
| | - Thomas Abeel
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA
- Delft Bioinformatics Lab, Delft University of Technology, 2628, XE, Delft, The Netherlands
| | - Ashlee M Earl
- Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, 02142, USA.
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van der Werf MJ, Ködmön C. Whole-Genome Sequencing as Tool for Investigating International Tuberculosis Outbreaks: A Systematic Review. Front Public Health 2019; 7:87. [PMID: 31058125 PMCID: PMC6478655 DOI: 10.3389/fpubh.2019.00087] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 04/01/2019] [Indexed: 12/31/2022] Open
Abstract
Background: Whole-genome sequencing (WGS) can support the investigation of tuberculosis (TB) outbreaks. The technique has been applied to estimate the timing and directionality of transmission and to exclude cases from an investigation. This review assesses how WGS was applied in international outbreak investigations and discusses the advantages and challenges of the application of WGS. Methods: Databases were searched for reports on international TB outbreak investigations. Information was extracted on: Why was WGS applied?; How was WGS applied?; Organizational issues; WGS methodology; What was learned/what were the implications of the WGS investigation?; and challenges and lessons learned. Results: Three studies reporting on international outbreak investigations were identified. Retrospective WGS sequencing was performed in all studies and prospective typing in two to study TB transmission. In one study, WGS data were produced centrally (i.e., in one laboratory) and analysis was done centrally. In two studies, WGS data production was done in a decentralized manner, and analysis was centralized in one laboratory. Three groups of professionals were involved in the international outbreak investigation: public health authorities, laboratory experts, and clinicians. The reported WGS methodology applied differed between the studies in some aspects, e.g., sequencing platform; quality measures, percentage of the reference genome covered, and the mean genomic coverage; analysis, use of a reference genome or de novo assembly; and software used for alignment and analysis. In all three studies, in-house scripts were used for variance calling, and the single nucleotide polymorphism (SNP) approach was used for analysis. All outbreak investigation reports stated that WGS refuted suspected transmission events and provided supporting evidence for epidemiological data. Several challenges were reported of which most were not related to WGS. The only challenge related to WGS was the timeframe of getting WGS data if WGS is not routinely performed. Conclusions: WGS was considered a useful addition in international TB outbreak investigations. Further standardization of the WGS methodology and good structures for international collaboration and coordination are needed to take full advantage of this new technology. Whether the use of WGS results in earlier detection of cases and thus limits transmission still needs to be determined.
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Affiliation(s)
| | - Csaba Ködmön
- European Centre for Disease Prevention and Control, Stockholm, Sweden
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28
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Domínguez J, Acosta F, Pérez-Lago L, Sambrano D, Batista V, De La Guardia C, Abascal E, Chiner-Oms Á, Comas I, González P, Bravo J, Del Cid P, Rosas S, Muñoz P, Goodridge A, García de Viedma D. Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs. Emerg Infect Dis 2019; 25:507-514. [PMID: 30789134 PMCID: PMC6390753 DOI: 10.3201/eid2503.181593] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Systematic molecular/genomic epidemiology studies for tuberculosis surveillance cannot be implemented in many countries. We selected Panama as a model for an alternative strategy. Mycobacterial interspersed repetitive unit-variable-number tandem-repeat (MIRU-VNTR) analysis revealed a high proportion (50%) of Mycobacterium tuberculosis isolates included in 6 clusters (A-F) in 2 provinces (Panama and Colon). Cluster A corresponded to the Beijing sublineage. Whole-genome sequencing (WGS) differentiated clusters due to active recent transmission, with low single-nucleotide polymorphism-based diversity (cluster C), from clusters involving long-term prevalent strains with higher diversity (clusters A, B). Prospective application in Panama of 3 tailored strain-specific PCRs targeting marker single-nucleotide polymorphisms identified from WGS data revealed that 31.4% of incident cases involved strains A-C and that the Beijing strain was highly represented and restricted mainly to Colon. Rational integration of MIRU-VNTR, WGS, and tailored strain-specific PCRs could be a new model for tuberculosis surveillance in countries without molecular/genomic epidemiology programs.
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Affiliation(s)
| | | | - Laura Pérez-Lago
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
| | - Dilcia Sambrano
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
| | - Victoria Batista
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
| | - Carolina De La Guardia
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
| | - Estefanía Abascal
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
| | - Álvaro Chiner-Oms
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
| | - Iñaki Comas
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
| | - Prudencio González
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
| | - Jaime Bravo
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
| | - Pedro Del Cid
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
| | - Samantha Rosas
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
| | - Patricia Muñoz
- Instituto de Investigaciones Científicas y Servicios de Alta Tecnología, City of Knowledge, Panama (J. Domínguez, F. Acosta, D. Sambrano, V. Batista, C. De La Guardia, A. Goodridge)
- Instituto Conmemorativo Gorgas de Estudios de la Salud, Panama City, Panama (J. Domínguez, P. González, J. Bravo, P. Del Cid, S. Rosas)
- Hospital General Universitario Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain (F. Acosta, L. Pérez-Lago, E. Abascal, P. Muñoz, D. García de Viedma)
- Centro Superior de investigación en Salud Pública (FISABIO)–Universitat de València, Valencia, Spain (Á. Chiner-Oms)
- Instituto de Biomedicina de Valencia Consejo Superior de Investigaciones Científicas, Valencia (I. Comas)
- Centro de Investigación Biomédica en Red en Epidemiología y Salud Pública, Madrid (I. Comas)
- Universidad Complutense de Madrid, Madrid (P. Muñoz)
- Centro de Investigación Biomédica en Red Enfermedades Respiratorias, Madrid (P. Muñoz, D. García de Viedma)
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