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Malaquias TDSS, Ribeiro EP, Dutra TCP, Ricardo M, Salvato R, Bhering M, Bartholomeu DC, Dalla-Costa ER, Viveiros M, da Silva EC, Kritski A. The performance of Xpert MTB/RIF and MTBDRplus within a Programmatic setting at TB Laboratory in Rio de Janeiro, Brazil. Rev Soc Bras Med Trop 2024; 57:e004162024. [PMID: 39292021 PMCID: PMC11419677 DOI: 10.1590/0037-8682-0167-2024] [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: 05/20/2024] [Accepted: 08/08/2024] [Indexed: 09/19/2024] Open
Abstract
BACKGROUND Few studies in routine settings have confirmed the high accuracy of the Xpert MTB/RIF assay for detecting rifampicin resistance (RR) and the first-line probe assay (FL-LPA) for detecting both RR and isoniazid resistance (INHR). METHODS The performance of Xpert MTB/RIF and MTBDRplus VER 2.0 LPA was evaluated in 180 Mycobacterium tuberculosis samples collected from January 2018 to December 2019 in Rio de Janeiro, Brazil. The results were compared with those from BACTEC MGIT 960 culture and drug susceptibility testing (DST). Whole-genome sequencing was performed on the samples with discordant results. RESULTS The Xpert MTB/RIF assay showed a sensitivity (Se) of 93.3% and a specificity (Sp) of 97.6%, detecting RR. The performance of FL-LPA to identify RIF and INH resistance was, respectively, (Se) 100% and 83.3% and (Sp) 98.8% and 100%. Among 18 clinical isolates with INHR detected by FL-LPA, mutations in the katG gene were observed in 100% of samples, of which only two (11.1%) had mutations in both katG and inhA genes. Overall, the discordant results were identified in 9 (5%) samples. Among the four Xpert RIF-resistant and DST-sensitive, two harbored mutations in rpoB Leu430Pro. Among the four FL-LPA-sensitive and DST-resistant, one had a mutation in inhA 17G>T. FL-LPA showed high accuracy in detecting RR and INHR. CONCLUSIONS The MTBDRplus test demonstrated excellent performance in detecting RR, and INHR in clinical isolates under routine conditions at a reference laboratory in Rio de Janeiro, Brazil. Incorporating both tests can improve drug-resistant tuberculosis treatment outcomes and monitor the INHR incidence.
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Affiliation(s)
| | - Eunice Petris Ribeiro
- Universidade Federal do Rio de Janeiro, Faculdade de Medicina,
Programa Acadêmico de Tuberculose, Rio de Janeiro, RJ, Brasil
| | - Tatiana Cristina Pereira Dutra
- Universidade Federal do Rio de Janeiro, Faculdade de Medicina,
Programa Acadêmico de Tuberculose, Rio de Janeiro, RJ, Brasil
| | - Marina Ricardo
- Universidade Federal do Rio de Janeiro, Faculdade de Medicina,
Programa Acadêmico de Tuberculose, Rio de Janeiro, RJ, Brasil
| | - Richard Salvato
- Secretaria Estadual da Saúde do Rio Grande do Sul, Centro de
Desenvolvimento Científico e Tecnológico, Porto Alegre, RS, Brasil
- Universidade Federal do Rio Grande do Sul, Centro de Biotecnologia,
Programa de Pós-Graduação em Biologia Celular e Molecular, Porto Alegre, RS,
Brasil
| | - Marcela Bhering
- Universidade Federal do Rio de Janeiro, Faculdade de Medicina,
Programa Acadêmico de Tuberculose, Rio de Janeiro, RJ, Brasil
- Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio
Arouca, Rio de Janeiro, RJ, Brasil
| | - Daniella Castanheira Bartholomeu
- Universidade Federal de Minas Gerais, Instituto de Ciências
Biológica, Departamento de Parasitologia, Belo Horizonte, MG, Brasil
| | - Elis Regina Dalla-Costa
- Universidade Federal do Rio de Janeiro, Faculdade de Medicina,
Programa Acadêmico de Tuberculose, Rio de Janeiro, RJ, Brasil
| | - Miguel Viveiros
- Universidade Nova de Lisboa, Instituto de Higiene e Medicina
Tropical, Lisboa, Portugal
| | - Elisangela Costa da Silva
- Universidade Federal do Rio de Janeiro, Faculdade de Medicina,
Programa Acadêmico de Tuberculose, Rio de Janeiro, RJ, Brasil
- Universidade Estadual do Norte Fluminense Darcy Ribeiro, Centro de
Biociência e Biotecnologia, Laboratório de Biologia do Reconhecer, Campos dos
Goytacazes, RJ, Brasil
- Secretaria de Estado de Saúde do Rio de Janeiro, Fundação Saúde,
Rio de Janeiro, RJ, Brasil
| | - Afrânio Kritski
- Universidade Federal do Rio de Janeiro, Faculdade de Medicina,
Programa Acadêmico de Tuberculose, Rio de Janeiro, RJ, Brasil
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Moe S, Azamat I, Allamuratova S, Oluya M, Khristusev A, Rekart ML, Mamitova K, Bidwell G, Gomez-Restrepo C, Kalmuratov B, Tigay Z, Parpieva N, Safaev K, Sitali N, Gomez D, Mikhail A, Sinha A. Second-line drug-resistant TB and associated risk factors in Karakalpakstan, Uzbekistan. IJTLD OPEN 2024; 1:391-397. [PMID: 39301133 PMCID: PMC11409172 DOI: 10.5588/ijtldopen.24.0351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Accepted: 07/10/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND Drug-resistant TB (DR-TB) remains a major public health threat. In 2022, Uzbekistan reported 2,117 cases of DR-TB, with 69% tested for fluoroquinolone resistance. Limited information is available on the prevalence of resistance to bedaquiline, linezolid, and fluoroquinolone, which are key components of the all-oral treatment regimen for rifampicin-resistant TB in Uzbekistan. METHODS A retrospective study was conducted using extensive programmatic data from 2019 to 2023 in Uzbekistan. We assessed second-line drug-resistant TB (SLDR-TB) rates using phenotypic drug susceptibility testing (pDST). Demographic and clinical characteristics associated with SLDR-TB were analysed using multivariable logistic regression models based on the Allen-Cady approach. RESULTS In total, 2,405 patients with TB who had undergone pDST were included (median age 40 years, 47% female). The overall SLDR-TB resistance rate was 24% (95% CI 22-26). Prevalence of resistance to bedaquiline, linezolid, moxifloxacin, levofloxacin, and amikacin were respectively 3.1%, 0.8%, 15%, 13%, and 12%. Risk factors for SLDR-TB were resistance to rifampicin and/or isoniazid, exposure to clofazimine, retreatment status, contact with drug-susceptible TB case or DR-TB case, and diabetes. CONCLUSIONS The high prevalence of SLDR-TB is of major concern, emphasising the need for baseline pDST in RR-TB treatment. Identified risk factors can aid early detection of at-risk individuals and inform clinical practice.
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Affiliation(s)
- S Moe
- Médecins Sans Frontières (MSF), Nukus, Uzbekistan
| | - I Azamat
- Médecins Sans Frontières (MSF), Nukus, Uzbekistan
| | | | - M Oluya
- Médecins Sans Frontières (MSF), Nukus, Uzbekistan
| | - A Khristusev
- Médecins Sans Frontières (MSF), Nukus, Uzbekistan
| | - M L Rekart
- Médecins Sans Frontières (MSF), Nukus, Uzbekistan
| | - K Mamitova
- Médecins Sans Frontières (MSF), Nukus, Uzbekistan
| | - G Bidwell
- Médecins Sans Frontières (MSF), Nukus, Uzbekistan
| | | | - B Kalmuratov
- Republican Center of Tuberculosis and Pulmonology, Nukus, Uzbekistan
| | - Z Tigay
- Republican Center of Tuberculosis and Pulmonology, Nukus, Uzbekistan
| | - N Parpieva
- Republican Specialised Scientific and Practical Medical Center of Tuberculosis and Pulmonology, Tashkent, Uzbekistan
| | - K Safaev
- Republican Specialised Scientific and Practical Medical Center of Tuberculosis and Pulmonology, Tashkent, Uzbekistan
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Esteves LS, Gomes LL, Brites D, Fandinho FCO, Bhering M, Pereira MADS, Conceição EC, Salvato R, da Costa BP, Medeiros RFDM, Caldas PCDS, Redner P, Dalcolmo MP, Eldholm V, Gagneux S, Rossetti ML, Kritski AL, Suffys PN. Genetic Characterization and Population Structure of Drug-Resistant Mycobacterium tuberculosis Isolated from Brazilian Patients Using Whole-Genome Sequencing. Antibiotics (Basel) 2024; 13:496. [PMID: 38927163 PMCID: PMC11200758 DOI: 10.3390/antibiotics13060496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/28/2024] Open
Abstract
The present study aimed to determine the genetic diversity of isolates of Mycobacterium tuberculosis (Mtb) from presumed drug-resistant tuberculosis patients from several states of Brazil. The isolates had been submitted to conventional drug susceptibility testing for first- and second-line drugs. Multidrug-resistant (MDR-TB) (54.8%) was the most frequent phenotypic resistance profile, in addition to an important high frequency of pre-extensive resistance (p-XDR-TB) (9.2%). Using whole-genome sequencing (WGS), we characterized 298 Mtb isolates from Brazil. Besides the analysis of genotype distribution and possible correlations between molecular and clinical data, we determined the performance of an in-house WGS pipeline with other online pipelines for Mtb lineages and drug resistance profile definitions. Sub-lineage 4.3 (52%) was the most frequent genotype, and the genomic approach revealed a p-XDR-TB level of 22.5%. We detected twenty novel mutations in three resistance genes, and six of these were observed in eight phenotypically resistant isolates. A cluster analysis of 170 isolates showed that 43.5% of the TB patients belonged to 24 genomic clusters, suggesting considerable ongoing transmission of DR-TB, including two interstate transmissions. The in-house WGS pipeline showed the best overall performance in drug resistance prediction, presenting the best accuracy values for five of the nine drugs tested. Significant associations were observed between suffering from fatal disease and genotypic p-XDR-TB (p = 0.03) and either phenotypic (p = 0.006) or genotypic (p = 0.0007) ethambutol resistance. The use of WGS analysis improved our understanding of the population structure of MTBC in Brazil and the genetic and clinical data correlations and demonstrated its utility for surveillance efforts regarding the spread of DR-TB, hopefully helping to avoid the emergence of even more resistant strains and to reduce TB incidence and mortality rates.
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Affiliation(s)
- Leonardo Souza Esteves
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-590, RJ, Brazil;
- Centro de Desenvolvimento Científico e Tecnológico (CDCT), Secretaria Estadual de Saúde (SES-RS), Porto Alegre 90450-190, RS, Brazil;
- Laboratório de Biologia Molecular Aplicado à Micobactérias, Fundação Oswaldo Cruz (FIOCRUZ), Instituto Oswaldo Cruz (IOC), Rio de Janeiro 21040-360, RJ, Brazil; (L.L.G.); (P.N.S.)
| | - Lia Lima Gomes
- Laboratório de Biologia Molecular Aplicado à Micobactérias, Fundação Oswaldo Cruz (FIOCRUZ), Instituto Oswaldo Cruz (IOC), Rio de Janeiro 21040-360, RJ, Brazil; (L.L.G.); (P.N.S.)
| | - Daniela Brites
- Swiss Tropical and Public Health Institute (Swiss TPH), CH-4123 Allschwil, Switzerland; (D.B.); (S.G.)
- University of Basel, CH-4001 Basel, Switzerland
| | - Fátima Cristina Onofre Fandinho
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Marcela Bhering
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Márcia Aparecida da Silva Pereira
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Emilyn Costa Conceição
- Department of Science and Innovation—National Research Foundation Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 7505, South Africa;
| | - Richard Salvato
- Centro de Desenvolvimento Científico e Tecnológico (CDCT), Secretaria Estadual de Saúde (SES-RS), Porto Alegre 90450-190, RS, Brazil;
| | - Bianca Porphirio da Costa
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Reginalda Ferreira de Melo Medeiros
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Paulo Cesar de Souza Caldas
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Paulo Redner
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Margareth Pretti Dalcolmo
- Centro de Referência Professor Hélio Fraga, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro 22780-195, RJ, Brazil; (F.C.O.F.); (M.B.); (M.A.d.S.P.); (B.P.d.C.); (R.F.d.M.M.); (P.C.d.S.C.); (P.R.); (M.P.D.)
| | - Vegard Eldholm
- Norwegian Institute of Public Health, 0213 Oslo, Norway;
| | - Sebastien Gagneux
- Swiss Tropical and Public Health Institute (Swiss TPH), CH-4123 Allschwil, Switzerland; (D.B.); (S.G.)
- University of Basel, CH-4001 Basel, Switzerland
| | - Maria Lucia Rossetti
- Laboratório de Biologia Molecular, Universidade Luterana do Brasil (ULBRA), Canoas 92425-020, RS, Brazil;
| | - Afrânio Lineu Kritski
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-590, RJ, Brazil;
| | - Philip Noel Suffys
- Laboratório de Biologia Molecular Aplicado à Micobactérias, Fundação Oswaldo Cruz (FIOCRUZ), Instituto Oswaldo Cruz (IOC), Rio de Janeiro 21040-360, RJ, Brazil; (L.L.G.); (P.N.S.)
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4
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Diriba G, Alemu A, Yenew B, Tola HH, Gamtesa DF, Mollalign H, Eshetu K, Moga S, Abdella S, Tollera G, Kebede A, Dangisso MH. Epidemiology of extensively drug-resistant tuberculosis among patients with multidrug-resistant tuberculosis: A systematic review and meta-analysis. Int J Infect Dis 2023; 132:50-63. [PMID: 37072053 PMCID: PMC10302157 DOI: 10.1016/j.ijid.2023.04.392] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 03/11/2023] [Accepted: 04/10/2023] [Indexed: 04/20/2023] Open
Abstract
OBJECTIVES To estimate the pooled proportion of extensively drug-resistant tuberculosis (XDR-TB) and pre-extensively drug-resistant tuberculosis (pre-XDR-TB) in patients with multidrug-resistant TB (MDR-TB). METHODS We systematically searched articles from electronic databases: MEDLINE (PubMed), ScienceDirect, and Google Scholar. We also searched gray literature from the different literature sources main outcome of the review was either XDR-TB or pre-XDR-TB in patients with MDR-TB. We used the random-effects model, considering the substantial heterogeneity among studies. Heterogeneity was assessed by subgroup analyses. STATA version 14 was used for analysis. RESULTS A total of 64 studies that reported on 12,711 patients with MDR-TB from 22 countries were retrieved. The pooled proportion of pre-XDR-TB was 26% (95% confidence interval [CI]: 22-31%), whereas XDR-TB in MDR-TB cases was 9% (95% CI: 7-11%) in patients treated for MDR-TB. The pooled proportion of resistance to fluoroquinolones was 27% (95% CI: 22-33%) and second-line injectable drugs was 11% (95% CI: 9-13%). Whereas the pooled resistance proportions to bedaquiline, clofazimine, delamanid, and linezolid were 5% (95% CI: 1-8%), 4% (95% CI: 0-10%), 5% (95% CI; 2-8%), and 4% (95% CI: 2-10%), respectively. CONCLUSION The burden of pre-XDR-TB and XDR-TB in MDR-TB were considerable. The high burdens of pre-XDR-TB and XDR-TB in patients treated for MDR-TB suggests the need to strengthen TB programs and drug resistance surveillance.
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Affiliation(s)
- Getu Diriba
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
| | - Ayinalem Alemu
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Bazezew Yenew
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Habteyes Hailu Tola
- Selale University, College of Health Sciences, Department of Public Health, Addis Ababa, Ethiopia
| | | | | | - Kirubel Eshetu
- USAID Eliminate TB Project, Management Sciences for Health, Addis Ababa, Ethiopia
| | - Shewki Moga
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Saro Abdella
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Abebaw Kebede
- Africa Centers for Disease Control and Prevention, Addis Ababa, Ethiopia
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5
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Salvato RS, Reis AJ, Schiefelbein SH, Gómez MAA, Salvato SS, da Silva LV, Costa ERD, Unis G, Dias CF, Viveiros M, Portugal I, von Groll A, da Silva PEA, Kritski AL, Perdigão J, Rossetti MLR. Genomic-based surveillance reveals high ongoing transmission of multi-drug-resistant Mycobacterium tuberculosis in Southern Brazil. Int J Antimicrob Agents 2021; 58:106401. [PMID: 34289403 DOI: 10.1016/j.ijantimicag.2021.106401] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 06/28/2021] [Accepted: 07/03/2021] [Indexed: 11/30/2022]
Abstract
Genomic-based surveillance on the occurrence of drug resistance and its transmission dynamics has emerged as a powerful tool for the control of tuberculosis (TB). A whole-genome sequencing approach, phenotypic testing and clinical-epidemiological investigation were used to undertake a retrospective population-based study on drug-resistant (DR)-TB in Rio Grande do Sul, the largest state in Southern Brazil. The analysis included 305 resistant Mycobacterium tuberculosis strains sampled statewide from 2011 to 2014, and covered 75.7% of all DR-TB cases identified in this period. Lineage 4 was found to be predominant (99.3%), with high sublineage-level diversity composed mainly of 4.3.4.2 [Latin American and Mediterranean (LAM)/RD174], 4.3.3 (LAM/RD115) and 4.1.2.1 (Haarlem/RD182) sublineages. Genomic diversity was also reflected in resistance of the variants to first-line drugs. A large number of distinct resistance-conferring mutations, including variants that have not been reported previously in any other setting worldwide, and 22 isoniazid-monoresistant strains with mutations described as disputed in the rpoB gene but causing rifampicin resistance generally missed by automated phenotypic tests as BACTEC MGIT. Using a cut-off of five single nucleotide polymorphisms, the estimated recent transmission rate was 55.1%, with 168 strains grouped into 28 genomic clusters. The most worrying fact concerns multi-drug-resistant (MDR) strains, of which 73.4% were clustered. Different resistance profiles and acquisition of novel mutations intraclusters revealed important amplification of resistance in the region. This study described the diversity of M. tuberculosis strains, the basis of drug resistance, and ongoing transmission dynamics across the largest state in Southern Brazil, stressing the urgent need for MDR-TB transmission control state-wide.
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Affiliation(s)
- Richard Steiner Salvato
- Programa de Pós-graduação em Biologia Celular e Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; Centro de Desenvolvimento Científico e Tecnológico, Centro Estadual de Vigilância em Saúde, Secretaria Estadual da Saúde do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
| | - Ana Júlia Reis
- Medical Microbiology Research Center, Faculdade de Medicina, Programa de Pós-graduação em Ciências da Saúde, Universidade Federal do Rio Grande, Rio Grande, Rio Grande do Sul, Brazil
| | - Sun Hee Schiefelbein
- Programa de Pós-graduação em Biologia Celular e Molecular Aplicada à Saúde, Universidade Luterana do Brasil, Canoas, Rio Grande do Sul, Brazil
| | - Michael Andrés Abril Gómez
- Medical Microbiology Research Center, Faculdade de Medicina, Programa de Pós-graduação em Ciências da Saúde, Universidade Federal do Rio Grande, Rio Grande, Rio Grande do Sul, Brazil
| | - Stéphanie Steiner Salvato
- Centro de Desenvolvimento Científico e Tecnológico, Centro Estadual de Vigilância em Saúde, Secretaria Estadual da Saúde do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Larissa Vitória da Silva
- Centro de Desenvolvimento Científico e Tecnológico, Centro Estadual de Vigilância em Saúde, Secretaria Estadual da Saúde do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Elis Regina Dalla Costa
- Programa Acadêmico de Tuberculose, Faculdade de Medicina e complexo hospitalar HUCFF-IDT, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gisela Unis
- Hospital Sanatório Partenon, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Miguel Viveiros
- Unidade de Microbiologia Médica, Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Isabel Portugal
- iMed.ULisboa - Research Institute for Medicine, Faculdade de Farmácia, Universidade de Lisboa, Lisboa, Portugal
| | - Andrea von Groll
- Medical Microbiology Research Center, Faculdade de Medicina, Programa de Pós-graduação em Ciências da Saúde, Universidade Federal do Rio Grande, Rio Grande, Rio Grande do Sul, Brazil
| | - Pedro Eduardo Almeida da Silva
- Medical Microbiology Research Center, Faculdade de Medicina, Programa de Pós-graduação em Ciências da Saúde, Universidade Federal do Rio Grande, Rio Grande, Rio Grande do Sul, Brazil
| | - Afrânio Lineu Kritski
- Programa Acadêmico de Tuberculose, Faculdade de Medicina e complexo hospitalar HUCFF-IDT, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - João Perdigão
- iMed.ULisboa - Research Institute for Medicine, Faculdade de Farmácia, Universidade de Lisboa, Lisboa, Portugal
| | - Maria Lucia Rosa Rossetti
- Programa de Pós-graduação em Biologia Celular e Molecular, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil; Programa de Pós-graduação em Biologia Celular e Molecular Aplicada à Saúde, Universidade Luterana do Brasil, Canoas, Rio Grande do Sul, Brazil
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Walter KS, Tatara MB, Esther da Silva K, Moreira FMF, dos Santos PCP, de Melo Ferrari DD, Cunha EA, Andrews JR, Croda J. Local and Travel-Associated Transmission of Tuberculosis at Central Western Border of Brazil, 2014-2017. Emerg Infect Dis 2021; 27:905-914. [PMID: 33622493 PMCID: PMC7920644 DOI: 10.3201/eid2703.203839] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
International migrants are at heightened risk for tuberculosis (TB) disease. Intensified incarceration at international borders may compound population-wide TB risk. However, few studies have investigated the contributions of migration, local transmission, or prisons in driving incident TB at international borders. We conducted prospective population-based genomic surveillance in 3 cities along Brazil’s central western border from 2014–2017. Although most isolates (89/132; 67%) fell within genomic transmission clusters, genetically unique isolates disproportionately occurred among participants with recent international travel (17/42; 40.5%), suggesting that both local transmission and migration contribute to incident TB. Isolates from 40 participants with and 76 without an incarceration history clustered together throughout a maximum-likelihood phylogeny, indicating the close interrelatedness of prison and community epidemics. Our findings highlight the need for ongoing surveillance to control continued introductions of TB and reduce the disproportionate burden of TB in prisons at Brazil’s international borders.
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Conceição EC, Salvato RS, Gomes KM, Guimarães AEDS, da Conceição ML, Souza e Guimarães RJDP, Sharma A, Furlaneto IP, Barcellos RB, Bollela VR, Anselmo LMP, Sisco MC, Niero CV, Ferrazoli L, Refrégier G, Lourenço MCDS, Gomes HM, de Brito AC, Catanho M, Duarte RS, Suffys PN, Lima KVB. Molecular epidemiology of Mycobacterium tuberculosis in Brazil before the whole genome sequencing era: a literature review. Mem Inst Oswaldo Cruz 2021; 116:e200517. [PMID: 33729319 PMCID: PMC7976556 DOI: 10.1590/0074-02760200517] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 02/11/2021] [Indexed: 11/22/2022] Open
Abstract
Molecular-typing can help in unraveling epidemiological scenarios and improvement for disease control strategies. A literature review of Mycobacterium tuberculosis transmission in Brazil through genotyping on 56 studies published from 1996-2019 was performed. The clustering rate for mycobacterial interspersed repetitive units - variable tandem repeats (MIRU-VNTR) of 1,613 isolates were: 73%, 33% and 28% based on 12, 15 and 24-loci, respectively; while for RFLP-IS6110 were: 84% among prison population in Rio de Janeiro, 69% among multidrug-resistant isolates in Rio Grande do Sul, and 56.2% in general population in São Paulo. These findings could improve tuberculosis (TB) surveillance and set up a solid basis to build a database of Mycobacterium genomes.
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Affiliation(s)
- Emilyn Costa Conceição
- Fundação Oswaldo Cruz-Fiocruz, Instituto Nacional de Infectologia
Evandro Chagas, Programa de Pós-Graduação em Pesquisa Clínica e Doenças Infecciosas,
Rio de Janeiro, RJ, Brasil
- Fundação Oswaldo Cruz-Fiocruz, Instituto Nacional de Infectologia
Evandro Chagas, Laboratório de Bacteriologia e Bioensaios em Micobactérias, Rio de
Janeiro, RJ, Brasil
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Biologia Molecular Aplicada a Micobactérias, Rio de Janeiro, RJ, Brasil
| | - Richard Steiner Salvato
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação
em Biologia Celular e Molecular, Porto Alegre, RS, Brasil
- Secretaria Estadual de Saúde do Rio Grande do Sul, Centro Estadual
de Vigilância em Saúde, Centro de Desenvolvimento Científico e Tecnológico, Porto
Alegre, RS, Brasil
| | - Karen Machado Gomes
- Fundação Oswaldo Cruz-Fiocruz, Escola Nacional de Saúde Pública
Sergio Arouca, Centro de Referência Professor Hélio Fraga, Laboratório de Referência
Nacional para Tuberculose e outras Micobacterioses, Rio de Janeiro, RJ, Brasil
| | - Arthur Emil dos Santos Guimarães
- Universidade do Estado do Pará, Instituto de Ciências Biológicas e
da Saúde, Pós-Graduação Biologia Parasitária na Amazônia, Belém, PA, Brasil
- Instituto Evandro Chagas, Seção de Bacteriologia e Micologia,
Ananindeua, PA, Brasil
| | - Marília Lima da Conceição
- Universidade do Estado do Pará, Instituto de Ciências Biológicas e
da Saúde, Pós-Graduação Biologia Parasitária na Amazônia, Belém, PA, Brasil
- Instituto Evandro Chagas, Seção de Bacteriologia e Micologia,
Ananindeua, PA, Brasil
| | | | - Abhinav Sharma
- International Institute of Information Technology, Department of
Data Science, Bangalore, India
| | | | - Regina Bones Barcellos
- Secretaria Estadual de Saúde do Rio Grande do Sul, Centro Estadual
de Vigilância em Saúde, Centro de Desenvolvimento Científico e Tecnológico, Porto
Alegre, RS, Brasil
| | - Valdes Roberto Bollela
- Universidade de São Paulo, Departamento de Clínica Médica da
Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, SP, Brasil
| | - Lívia Maria Pala Anselmo
- Universidade de São Paulo, Departamento de Clínica Médica da
Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto, SP, Brasil
| | - Maria Carolina Sisco
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Biologia Molecular Aplicada a Micobactérias, Rio de Janeiro, RJ, Brasil
- Universidade Federal do Rio de Janeiro, Instituto de Microbiologia
Paulo de Góes, Laboratório de Micobactérias, Rio de Janeiro, RJ, Brasil
| | - Cristina Viana Niero
- Universidade Federal de São Paulo, Departamento de Microbiologia,
Imunologia e Parasitologia, São Paulo, SP, Brasil
| | - Lucilaine Ferrazoli
- Instituto Adolfo Lutz, Centro de Bacteriologia, Núcleo de
Tuberculose e Micobacterioses, São Paulo, SP, Brasil
| | - Guislaine Refrégier
- Universit e Paris-Saclay, Ecologie Systematique Evolution, Centre
National de la Recherche Scientifique, AgroParisTech, Orsay, France
| | - Maria Cristina da Silva Lourenço
- Fundação Oswaldo Cruz-Fiocruz, Instituto Nacional de Infectologia
Evandro Chagas, Laboratório de Bacteriologia e Bioensaios em Micobactérias, Rio de
Janeiro, RJ, Brasil
| | - Harrison Magdinier Gomes
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Biologia Molecular Aplicada a Micobactérias, Rio de Janeiro, RJ, Brasil
| | - Artemir Coelho de Brito
- Coordenação Geral de Vigilância das Doenças de Transmissão
Respiratória de Condições Crônicas, Brasília, DF, Brasil
| | - Marcos Catanho
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Genética Molecular de Microrganismos, Rio de Janeiro, RJ, Brasil
| | - Rafael Silva Duarte
- Universidade Federal do Rio de Janeiro, Instituto de Microbiologia
Paulo de Góes, Laboratório de Micobactérias, Rio de Janeiro, RJ, Brasil
| | - Philip Noel Suffys
- Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório
de Biologia Molecular Aplicada a Micobactérias, Rio de Janeiro, RJ, Brasil
| | - Karla Valéria Batista Lima
- Universidade do Estado do Pará, Instituto de Ciências Biológicas e
da Saúde, Pós-Graduação Biologia Parasitária na Amazônia, Belém, PA, Brasil
- Instituto Evandro Chagas, Seção de Bacteriologia e Micologia,
Ananindeua, PA, Brasil
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Dagne B, Desta K, Fekade R, Amare M, Tadesse M, Diriba G, Zerihun B, Getu M, Sinshaw W, Seid G, Gamtesa DF, Assefa G, Alemu A. The Epidemiology of first and second-line drug-resistance Mycobacterium tuberculosis complex common species: Evidence from selected TB treatment initiating centers in Ethiopia. PLoS One 2021; 16:e0245687. [PMID: 33507946 PMCID: PMC7842946 DOI: 10.1371/journal.pone.0245687] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 01/05/2021] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Drug-resistance in Mycobacterium tuberculosis complex remains a major health burden in human history and still is a major leading cause of death in developing countries including Ethiopia. Early detection of all forms of drug-resistant Tuberculosis(TB) is a key factor to reduce and contain the spread of these resistant strains. METHODS A health facility-based cross-sectional study was employed, based on demographic, clinical, and laboratory data collected from 204 patients with bacteriological confirmed TB. Sputum samples were analyzed using conventional TB culture and identification test followed by molecular species identification, and then phenotypic drug susceptibility tests. Data were entered using an excel spreadsheet and exported to SPSS version 20 for analysis. Descriptive analysis; frequencies, and proportions were computed. RESULTS Among the 204 sputum samples inoculated in culture media, Mycobacterium species were recovered from 165 specimens, with 160 Mycobacterium tuberculosis complex and five Non- Tuberculosis Mycobacterium(NTM) species. All Mycobacterium tuberculosis complex was found to be M. tuberculosis. Of the five NTM species, 2 M.fortuitum, 2 M.intracellulare, and 1 M.gordonae were identified. Among 160 species of M. tuberculosis isolates, 110(68.8%) were resistant to any of the anti-TB drugs. The resistance pattern was; INH (109, 68.1%), RIF (99, 61.9%), STM (73,45.6%), and EMB (32,20.0%). Mono-resistance was found for INH (7,4.3%) and STM (1,0.6%). Ninety-nine (61.9%) isolates become MDR, while resistance to any of the second-line anti-TB drugs was detected in 9 (5.6%) strains, with 8(5%) Pre-XDR and one (0.6%) XDR cases. CONCLUSION Our findings highlight high frequencies of drug resistance to first and second-line anti-TB drugs.Determining the drug-resistance pattern of MTB is important for programmatic management of drug-resistant TB in Ethiopia. The circulating Pre-XDR and XDR case identified in the current study is alarming to the tuberculosis control program in the country.
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Affiliation(s)
- Biniyam Dagne
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
- Department of Medical Laboratory Science, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Kassu Desta
- Department of Medical Laboratory Science, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Rahel Fekade
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Misikir Amare
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Getu Diriba
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Melak Getu
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | - Getachew Seid
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | | | | | - Ayinalem Alemu
- Ethiopian Public Health Institute, Addis Ababa, Ethiopia
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9
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Genomic epidemiology of Mycobacterium tuberculosis in Santa Catarina, Southern Brazil. Sci Rep 2020; 10:12891. [PMID: 32732910 PMCID: PMC7393130 DOI: 10.1038/s41598-020-69755-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 06/22/2020] [Indexed: 12/18/2022] Open
Abstract
Mycobacterium tuberculosis (M.tb), the pathogen responsible for tuberculosis (TB) poses as the major cause of death among infectious diseases. The knowledge about the molecular diversity of M.tb enables the implementation of more effective surveillance and control measures and, nowadays, Whole Genome Sequencing (WGS) holds the potential to produce high-resolution epidemiological data in a high-throughput manner. Florianópolis, the state capital of Santa Catarina (SC) in south Brazil, shows a high TB incidence (46.0/100,000). Here we carried out a WGS-based evaluation of the M.tb strain diversity, drug-resistance and ongoing transmission in the capital metropolitan region. Resistance to isoniazid, rifampicin, streptomycin was identified respectively in 4.0% (n = 6), 2.0% (n = 3) and 1.3% (n = 2) of the 151 studied strains by WGS. Besides, resistance to pyrazinamide and ethambutol was detected in 0.7% (n = 1) and reistance to ethionamide and fluoroquinolone (FQ) in 1.3% (n = 2), while a single (0.7%) multidrug-resistant (MDR) strain was identified. SNP-based typing classified all isolates into M.tb Lineage 4, with high proportion of sublineages LAM (60.3%), T (16.4%) and Haarlem (7.9%). The average core-genome distance between isolates was 420.3 SNPs, with 43.7% of all isolates grouped across 22 genomic clusters thereby showing the presence of important ongoing TB transmission events. Most clusters were geographically distributed across the study setting which highlights the need for an urgent interruption of these large transmission chains. The data conveyed by this study shows the presence of important and uncontrolled TB transmission in the metropolitan area and provides precise data to support TB control measures in this region.
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