101 results on '"Ferrazoli L"'
Search Results
2. Bedaquiline and clofazimine resistance in Mycobacterium tuberculosis: an in-vitro and in-silico data analysis
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Sonnenkalb, L, Carter, JJ, Spitaleri, A, Iqbal, Z, Hunt, M, Malone, KM, Utpatel, C, Cirillo, DM, Rodrigues, C, Nilgiriwala, KS, Fowler, PW, Merker, M, Niemann, S, Barilar, I, Battaglia, S, Borroni, E, Brandao, AP, Brankin, A, Cabibbe, AM, Carter, J, Claxton, P, Clifton, DA, Cohen, T, Coronel, J, Crook, DW, Dreyer, V, Earle, SG, Escuyer, V, Ferrazoli, L, Fu Gao, G, Gardy, J, Gharbia, S, Ghisi, KT, Ghodousi, A, Gibertoni Cruz, AL, Grandjean, L, Grazian, C, Groenheit, R, Guthrie, JL, He, W, Hoffmann, H, Hoosdally, SJ, Ismail, NA, Jarrett, L, Joseph, L, Jou, R, Kambli, P, Khot, R, Knaggs, J, Koch, A, Kohlerschmidt, D, Kouchaki, S, Lachapelle, AS, Lalvani, A, Grandjean Lapierre, S, Laurenson, IF, Letcher, B, Lin, W-H, Liu, C, Liu, D, Mandal, A, Mansjö, M, Matias, D, Meintjes, G, De Freitas Mendes, F, Mihalic, M, Millard, J, Miotto, P, Mistry, N, Moore, D, Musser, KA, Ngcamu, D, Hoang, NN, Nimmo, C, Okozi, N, Oliveira, RS, Omar, SV, Paton, N, Peto, TEA, Watanabe Pinhata, JM, Plesnik, S, Puyen, ZM, Rabodoarivelo, MS, Rakotosamimanana, N, Rancoita, PMV, Rathod, P, Rodger, G, Rodwell, TC, Roohi, E, Santos-Lazaro, D, Shah, S, Kohl, TA, Smith, G, Solano, W, Supply, P, Surve, U, Tahseen, S, Thuong, NTT, Thwaites, G, Todt, K, Trovato, A, Van Rie, A, Vijay, S, Walker, TM, Walker, SA, Warren, R, Werngren, J, Wijkander, M, Wilkinson, RJ, Wilson, DJ, Wintringer, P, Yu, XX, Yang, Y, Zhao, Y, Yao, S-Y, Zhu, B, and Consortium, Comprehensive Resistance Prediction for Tuberculosis: an International
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Microbiology (medical) ,Infectious Diseases ,Virology ,Microbiology - Abstract
Background Bedaquiline is a core drug for the treatment of multidrug-resistant tuberculosis; however, the understanding of resistance mechanisms is poor, which is hampering rapid molecular diagnostics. Some bedaquiline-resistant mutants are also cross-resistant to clofazimine. To decipher bedaquiline and clofazimine resistance determinants, we combined experimental evolution, protein modelling, genome sequencing, and phenotypic data. Methods For this in-vitro and in-silico data analysis, we used a novel in-vitro evolutionary model using subinhibitory drug concentrations to select bedaquiline-resistant and clofazimine-resistant mutants. We determined bedaquiline and clofazimine minimum inhibitory concentrations and did Illumina and PacBio sequencing to characterise selected mutants and establish a mutation catalogue. This catalogue also includes phenotypic and genotypic data of a global collection of more than 14 000 clinical Mycobacterium tuberculosis complex isolates, and publicly available data. We investigated variants implicated in bedaquiline resistance by protein modelling and dynamic simulations. Findings We discerned 265 genomic variants implicated in bedaquiline resistance, with 250 (94%) variants affecting the transcriptional repressor (Rv0678) of the MmpS5–MmpL5 efflux system. We identified 40 new variants in vitro, and a new bedaquiline resistance mechanism caused by a large-scale genomic rearrangement. Additionally, we identified in vitro 15 (7%) of 208 mutations found in clinical bedaquiline-resistant isolates. From our in-vitro work, we detected 14 (16%) of 88 mutations so far identified as being associated with clofazimine resistance and also seen in clinically resistant strains, and catalogued 35 new mutations. Structural modelling of Rv0678 showed four major mechanisms of bedaquiline resistance: impaired DNA binding, reduction in protein stability, disruption of protein dimerisation, and alteration in affinity for its fatty acid ligand. Interpretation Our findings advance the understanding of drug resistance mechanisms in M tuberculosis complex strains. We have established an extended mutation catalogue, comprising variants implicated in resistance and susceptibility to bedaquiline and clofazimine. Our data emphasise that genotypic testing can delineate clinical isolates with borderline phenotypes, which is essential for the design of effective treatments. Funding Leibniz ScienceCampus Evolutionary Medicine of the Lung, Deutsche Forschungsgemeinschaft, Research Training Group 2501 TransEvo, Rhodes Trust, Stanford University Medical Scientist Training Program, National Institute for Health and Care Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Bill & Melinda Gates Foundation, Wellcome Trust, and Marie Skłodowska-Curie Actions.
- Published
- 2023
3. Prevalence, associated factors, outcomes and transmission of extensively drug-resistant tuberculosis among multidrug-resistant tuberculosis patients in São Paulo, Brazil: a cross-sectional study
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Gallo, J.F., Pinhata, J.M.W., Simonsen, V., Galesi, V.M.N., Ferrazoli, L., and Oliveira, R.S.
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- 2018
- Full Text
- View/download PDF
4. Bedaquiline and clofazimine resistance in Mycobacterium tuberculosis: an in-vitro and in-silico data analysis
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Sonnenkalb, Lindsay, Carter, Joshua James, Spitaleri, Andrea, Iqbal, Zamin, Hunt, Martin, Malone, Kerri Marie, Utpatel, Christian, Cirillo, Daniela Maria, Rodrigues, Camilla, Nilgiriwala, Kayzad Soli, Fowler, Philip William, Merker, Matthias, Niemann, Stefan, Consortium, The Comprehensive Resistance Prediction for Tuberculosis: an International, Barilar, I, Battaglia, S, Borroni, E, Brandao, AP, Brankin, A, Cabibbe, AM, Carter, J, Claxton, P, Clifton, DA, Cohen, T, Coronel, J, Crook, DW, Dreyer, V, Earle, SG, Escuyer, V, Ferrazoli, L, Fowler, PW, Gao, G Fu, Gardy, J, Gharbia, S, Ghisi, KT, Ghodousi, A, Cruz, AL Gibertoni, Grandjean, L, Grazian, C, Groenheit, R, Guthrie, JL, He, W, Hoffmann, H, Hoosdally, SJ, Ismail, NA, Jarrett, L, Joseph, L, Jou, R, Kambli, P, Khot, R, Knaggs, J, Koch, A, Kohlerschmidt, D, Kouchaki, S, Lachapelle, AS, Lalvani, A, Lapierre, S Grandjean, Laurenson, IF, Letcher, B, Lin, WH, Liu, C, Liu, D, Malone, KM, Mandal, A, Mansjö, M, Matias, D, Meintjes, G, de Freitas Mendes, F, Mihalic, M, Millard, J, Miotto, P, Mistry, N, Moore, D, Musser, KA, Ngcamu, D, Hoang, NN, Nimmo, C, Okozi, N, Oliveira, RS, Omar, SV, Paton, N, Peto, TE, Pinhata, JM Watanabe, Plesnik, S, Puyen, ZM, Rabodoarivelo, MS, Rakotosamimanana, N, Rancoita, PM, Rathod, P, Rodger, G, Rodwell, TC, Roohi, E, Santos-Lazaro, D, Shah, S, Kohl, TA, Smith, G, Solano, W, Supply, P, Surve, U, Tahseen, S, and Thuong, NTT
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Model organisms ,Human Biology & Physiology ,FOS: Clinical medicine ,Immunology ,Infectious Disease - Abstract
Background: Bedaquiline is a core drug for the treatment of multidrug-resistant tuberculosis; however, the understanding of resistance mechanisms is poor, which is hampering rapid molecular diagnostics. Some bedaquiline-resistant mutants are also cross-resistant to clofazimine. To decipher bedaquiline and clofazimine resistance determinants, we combined experimental evolution, protein modelling, genome sequencing, and phenotypic data. Methods: For this in-vitro and in-silico data analysis, we used a novel in-vitro evolutionary model using subinhibitory drug concentrations to select bedaquiline-resistant and clofazimine-resistant mutants. We determined bedaquiline and clofazimine minimum inhibitory concentrations and did Illumina and PacBio sequencing to characterise selected mutants and establish a mutation catalogue. This catalogue also includes phenotypic and genotypic data of a global collection of more than 14 000 clinical Mycobacterium tuberculosis complex isolates, and publicly available data. We investigated variants implicated in bedaquiline resistance by protein modelling and dynamic simulations. Findings: We discerned 265 genomic variants implicated in bedaquiline resistance, with 250 (94%) variants affecting the transcriptional repressor (Rv0678) of the MmpS5–MmpL5 efflux system. We identified 40 new variants in vitro, and a new bedaquiline resistance mechanism caused by a large-scale genomic rearrangement. Additionally, we identified in vitro 15 (7%) of 208 mutations found in clinical bedaquiline-resistant isolates. From our in-vitro work, we detected 14 (16%) of 88 mutations so far identified as being associated with clofazimine resistance and also seen in clinically resistant strains, and catalogued 35 new mutations. Structural modelling of Rv0678 showed four major mechanisms of bedaquiline resistance: impaired DNA binding, reduction in protein stability, disruption of protein dimerisation, and alteration in affinity for its fatty acid ligand. Interpretation: Our findings advance the understanding of drug resistance mechanisms in M tuberculosis complex strains. We have established an extended mutation catalogue, comprising variants implicated in resistance and susceptibility to bedaquiline and clofazimine. Our data emphasise that genotypic testing can delineate clinical isolates with borderline phenotypes, which is essential for the design of effective treatments. Funding: Leibniz ScienceCampus Evolutionary Medicine of the Lung, Deutsche Forschungsgemeinschaft, Research Training Group 2501 TransEvo, Rhodes Trust, Stanford University Medical Scientist Training Program, National Institute for Health and Care Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Bill & Melinda Gates Foundation, Wellcome Trust, and Marie Skłodowska-Curie Actions.
- Published
- 2023
- Full Text
- View/download PDF
5. A crowd of BashTheBug volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates
- Author
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Fowler, P.W., Wright, C., Spiers, H., Zhu, T., Baeten, E.M.L., Hoosdally, S.W., Cruz, A.L.G., Roohi, A., Kouchaki, S., Walker, T.M., Peto, T.E.A., Miller, G., Lintott, C., Clifton, D., Crook, D.W., Walker, A.S., Barilar, I., Battaglia, S., Borroni, E., Brandao, A.P., Brankin, A., Cabibbe, A.M., Carter, J., Chetty, D., Cirillo, D.M., Claxton, P., Clifton, D.A., Cohen, T., Coronel, Jorge, Dreyer, V., Earle, S.G., Escuyer, V., Ferrazoli, L., Gao, G.F., Gardy, J., Gharbia, S., Ghisi, K.T., Ghodousi, A., Grandjean, Louis, Grazian, C., Groenheit, R., Guthrie, J.L., He, W., Hoffmann, H., Hoosdally, S.J., Martinhunt, M., Iqbal, Z., Ismail, N.A., Jarrett, L., Joseph, L., Jou, R., Kambli, P., Khot, R., Knaggs, J., Koch, A., Kohlerschmidt, D., Lachapelle, A.S., Lalvani, A., Lapierre, S.G., Laurenson, I.F., Letcher, B., Lin, W.-H., Liu, C., Liu, D., Malone, K.M., Mandal, A., Mansjõ, M., Matias, D., Meintjes, G., Mendes, F.D.F., Merker, M., Mihalic, M., Millard, J., Miotto, P., Mistry, N., Moore, David Alexander James, Musser, K.A., Ngcamu, D., Nhung, H.N., Niemann, S., Nilgiriwala, K.S., Nimmo, C., O’Donnell, M., Okozi, N., Oliveira, R.S., Omar, S.V., Paton, N., Pinhata, J.M.W., Plesnik, S., Puyen, Z.M., Rabodoarivelo, M.S., Rakotosamimanana, N., Rancoita, P.M.V., Rathod, P., Robinson, E., Rodger, G., Rodrigues, C., Rodwell, T.C., Santos-Lazaro, D., Shah, S., Kohl, T.A., Smith, G., Solano, Walter, Spitaleri, A., Supply, P., Steyn, A.J.C., Surve, U., Tahseen, S., Thuong, N.T.T., Thwaites, G., Todt, K., Trovato, A., Utpatel, C., Van Rie, A., Vijay, S., Warren, R., Werngren, J., Wijkander, M., Wilkinson, R.J., Wilson, D.J., Wintringer, P., Xiao, Y.-X., Yang, Y., Yanlin, Z., Yao, S.-Y., Zhu, B., The Zooniverse Volunteer Community, The CRyPTIC Consortium, Community, The Zooniverse Volunteer, Consortium, The CRyPTIC, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), and Wellcome Trust
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Volunteers ,Model organisms ,infectious disease ,[SDV]Life Sciences [q-bio] ,Immunology ,Antitubercular Agents ,Infectious Disease ,Microbial Sensitivity Tests ,Zooniverse Volunteer Community ,0601 Biochemistry and Cell Biology ,antibiotics ,General Biochemistry, Genetics and Molecular Biology ,Imaging ,minimum inhibitory concentrations ,antitubercular drugs ,citizen science ,M. tuberculosis ,Humans ,clinical microbiology ,Human Biology & Physiology ,General Immunology and Microbiology ,CRyPTIC Consortium ,Prevention ,General Neuroscience ,FOS: Clinical medicine ,microbiology ,BashTheBug ,Mycobacterium tuberculosis ,General Medicine ,microdilution plates ,Emerging Infectious Diseases ,Infectious Diseases ,Good Health and Well Being ,tuberculosis ,5.1 Pharmaceuticals ,photographs ,Antimicrobial Resistance ,Biochemistry and Cell Biology ,Development of treatments and therapeutic interventions ,Infection - Abstract
Tuberculosis is a respiratory disease that is treatable with antibiotics. An increasing prevalence of resistance means that to ensure a good treatment outcome it is desirable to test the susceptibility of each infection to different antibiotics. Conventionally, this is done by culturing a clinical sample and then exposing aliquots to a panel of antibiotics, each being present at a pre-determined concentration, thereby determining if the sample isresistant or susceptible to each sample. The minimum inhibitory concentration (MIC) of a drug is the lowestconcentration that inhibits growth and is a more useful quantity but requires each sample to be tested at a range ofconcentrations for each drug. Using 96-well broth micro dilution plates with each well containing a lyophilised pre-determined amount of an antibiotic is a convenient and cost-effective way to measure the MICs of several drugs at once for a clinical sample. Although accurate, this is still an expensive and slow process that requires highly-skilled and experienced laboratory scientists. Here we show that, through the BashTheBug project hosted on the Zooniverse citizen science platform, a crowd of volunteers can reproducibly and accurately determine the MICs for 13 drugs and that simply taking the median or mode of 11-17 independent classifications is sufficient. There is therefore a potential role for crowds to support (but not supplant) the role of experts in antibiotic susceptibility testing.Tuberculosis is a bacterial respiratory infection that kills about 1.4 million people worldwide each year. While antibiotics can cure the condition, the bacterium responsible for this disease
- Published
- 2022
6. Epidemiological cut-off values for a 96-well broth microdilution plate for high-throughput research antibiotic susceptibility testing of
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Fowler, P.W., Barilar, I., Battaglia, S., Borroni, E., Brandao, A.P., Brankin, A., Cabibbe, A.M., Carter, J., Cirillo, D.M., Claxton, P., Clifton, D.A., Cohen, T., Coronel, Jorge, Crook, D.W., Dreyer, V., Earle, S.G., Escuyer, V., Ferrazoli, L., Gao, G.F., Gardy, J., Gharbia, S., Ghisi, K.T., Ghodousi, A., Cruz, A.L.G., Grandjean, Louis, Grazian, C., Groenheit, R., Guthrie, J.L., He, W., Hoffmann, H., Hoosdally, S.J., Hunt, M., Iqbal, Z., Ismail, N.A., Jarrett, L., Joseph, L., Jou, R., Kambli, P., Khot, R., Knaggs, J., Koch, A., Kohlerschmidt, D., Kouchaki, S., Lachapelle, A.S., Lalvani, A., Lapierre, S.G., Laurenson, I.F., Letcher, B., Lin, W.-H., Liu, C., Liu, D., Malone, K.M., Mandal, A., Mansjö, M., Matias, D., Meintjes, G., de Freitas Mendes, F., Merker, M., Mihalic, M., Millard, J., Miotto, P., Mistry, N., Moore, David Alexander James, Musser, K.A., Ngcamu, D., Nhung, H.N., Niemann, S., Nilgiriwala, K.S., Nimmo, C., Okozi, N., Oliveira, R.S., Omar, S.V., Paton, N., Peto, T.E.A., Pinhata, J.M.W., Plesnik, S., Puyen, Z.M., Rabodoarivelo, M.S., Rakotosamimanana, N., Rancoita, P.M.V., Rathod, P., Robinson, E., Rodger, G., Rodrigues, C., Rodwell, T.C., Roohi, A., Santos-Lazaro, D., Shah, S., Kohl, T.A., Smith, G., Solano, Walter, Spitaleri, A., Supply, P., Surve, U., Tahseen, S., Thuong, N.T.T., Thwaites, G., Todt, K., Trovato, A., Utpatel, C., Van Rie, A., Vijay, S., Walker, T.M., Walker, A.S., Warren, R., Werngren, J., Wijkander, M., Wilkinson, R.J., Wilson, D.J., Wintringer, P., Xiao, Y.-X., Yang, Y., Yanlin, Z., Yao, S.-Y., Zhu, B., Consoritum, CRyPTIC, Walker, AS, and CRyPTIC Consortium
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microdilution ,Pulmonary and Respiratory Medicine ,tuberculosis ,Respiratory ,M. tuberculosis ,Humans ,Tuberculosis ,Human medicine ,infections ,Microbial Sensitivity Tests ,Mycobacterium tuberculosis ,Anti-Bacterial Agents - Abstract
Drug susceptibility testing ofM. tuberculosisis rooted in a binary susceptible/resistant paradigm. While there are considerable advantages in measuring the minimum inhibitory concentrations (MICs) of a panel of drugs for an isolate, it is necessary to measure the epidemiological cut-off values (ECOFF/ECVs) to permit comparison with qualitative data. Here we present ECOFF/ECVs for 13 anti-tuberculosis compounds, including bedaquiline and delamanid, derived from 20 637 clinical isolates collected by 14 laboratories based in 11 countries on five continents. Each isolate was incubated for 14 days on a dry 96-well broth microdilution plate and then read. Resistance to most of the drugs due to prior exposure is expected and the MIC distributions for many of the compounds are complex, and therefore aphenotypicallywild-type population could not be defined. Since a majority of samples also underwent genetic sequencing, we defined agenotypicallywild-type population and measured the MIC of the 99th percentile by direct measurement andviafitting a Gaussian using interval regression. The proposed ECOFF/ECVs were then validated by comparing with the MIC distributions of high-confidence genetic variants that confer resistance and with qualitative drug susceptibility tests obtainedviathe Mycobacterial Growth Indicator Tube (MGIT) system or Microscopic-Observation Drug Susceptibility (MODS) assay. These ECOFF/ECVs will inform and encourage the more widespread adoption of broth microdilution: this is a cheap culture-based method that tests the susceptibility of 12–14 antibiotics on a single 96-well plate and so could help personalise the treatment of tuberculosis.
- Published
- 2021
7. Multi-Label Random Forest Model for Tuberculosis Drug Resistance Classification and Mutation Ranking
- Author
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Kouchaki, S, Yang, Y, Lachapelle, A, Walker, T, Walker, SA, Hoosdally, S, Gibertoni Cruz, AL, Carter, J, Grazian, C, Earle, SG, Fowler, P, Iqbal, Z, Hunt, M, Knaggs, J, Smith, GE, Rathod, P, Jarrett, L, Matias, D, Cirillo, DM, Borroni, E, Battaglia, S, Ghodousi, A, Spitaler, A, Cabibbe, A, Tahseen, S, Nilgiriwala, K, Shah, S, Rodrigues, C, Kambli, P, Surve, U, Khot, R, Niemann, S, Merker, M, Hoffmann, H, Todt, K, Plesnik, S, Ismail, N, Omar, SV, Joseph, L, Thwaites, G, Thuong, TNT, Ngoc, NH, Srinivasan, V, Moore, D, Coronel, J, Solano, W, Gao, GF, He, G, Zhao, Y, Liu, C, Ma, A, Zhu, B, Laurenson, I, Claxton, P, Koch, A, Wilkinson, R, Lalvani, A, Posey, J, Gardy, J, Werngren, J, Paton, N, Jou, R, Wu, MH, Lin, WH, Ferrazoli, L, Siqueira de Oliveira, R, Arandjelovic, I, Chaiprasert, A, Comas, I, Roig, CR, Drobniewski, FA, Farhat, MR, Gao, Q, Hee, ROT, Sintchenko, V, Supply, P, van Soolingen, D, Peto, TEA, Crook, D, Clifton, D, Kouchaki, S, Yang, Y, Lachapelle, A, Walker, T, Walker, SA, Hoosdally, S, Gibertoni Cruz, AL, Carter, J, Grazian, C, Earle, SG, Fowler, P, Iqbal, Z, Hunt, M, Knaggs, J, Smith, GE, Rathod, P, Jarrett, L, Matias, D, Cirillo, DM, Borroni, E, Battaglia, S, Ghodousi, A, Spitaler, A, Cabibbe, A, Tahseen, S, Nilgiriwala, K, Shah, S, Rodrigues, C, Kambli, P, Surve, U, Khot, R, Niemann, S, Merker, M, Hoffmann, H, Todt, K, Plesnik, S, Ismail, N, Omar, SV, Joseph, L, Thwaites, G, Thuong, TNT, Ngoc, NH, Srinivasan, V, Moore, D, Coronel, J, Solano, W, Gao, GF, He, G, Zhao, Y, Liu, C, Ma, A, Zhu, B, Laurenson, I, Claxton, P, Koch, A, Wilkinson, R, Lalvani, A, Posey, J, Gardy, J, Werngren, J, Paton, N, Jou, R, Wu, MH, Lin, WH, Ferrazoli, L, Siqueira de Oliveira, R, Arandjelovic, I, Chaiprasert, A, Comas, I, Roig, CR, Drobniewski, FA, Farhat, MR, Gao, Q, Hee, ROT, Sintchenko, V, Supply, P, van Soolingen, D, Peto, TEA, Crook, D, and Clifton, D
- Published
- 2020
8. GenomegaMap: within-species genome-wide d_N/d_S estimation from over 10,000 genomes
- Author
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Wilson, D, Crook, DW, Peto, TEA, Walker, AS, Hoosdally, SJ, Gibertoni Cruz, AL, Carter, J, Grazian, C, Earle, SG, Kouchaki, S, Lachapelle, A, Yang, Y, Clifton, DA, Fowler, PW, Iqbal, Z, Hunt, M, Knaggs, J, Smith, EG, Rathod, P, Jarrett, L, Matias, D, Cirillo, DM, Borroni, E, Battaglia, S, Ghodousi, A, Spitaleri, A, Cabibbe, A, Tahseen, S, Nilgiriwala, K, Shah, S, Rodrigues, C, Kambli, P, Surve, U, Khot, R, NIemann, S, Kohl, TA, Merker, M, Hoffman, H, Todt, K, Plesnik, S, Ismail, N, Omar, SV, Joseph, L, Thwaites, G, Thoung, TNT, Ngoc, NH, Srinivasan, V, Walker, TM, Moore, D, Coronel, J, Solano, W, Gao, GF, He, G, Zhao, Y, Liu, C, Ma, A, Zhu, B, Laurenson, I, Claxton, P, Koch, A, Wilkinson, R, Lalvani, A, Posey, J, Gardy, J, Werngren, J, Paton, N, Jou, R, Wu, MH, Lin, WH, Ferrazoli, L, Siqueira de Oliveira, R, Arandjelovic, I, Chaipresert, A, Comas, I, Roig, CJ, Drobniewski, FA, Farhat, MR, Gao, Q, Hee, ROT, Sintchenko, V, Wilson, D, Crook, DW, Peto, TEA, Walker, AS, Hoosdally, SJ, Gibertoni Cruz, AL, Carter, J, Grazian, C, Earle, SG, Kouchaki, S, Lachapelle, A, Yang, Y, Clifton, DA, Fowler, PW, Iqbal, Z, Hunt, M, Knaggs, J, Smith, EG, Rathod, P, Jarrett, L, Matias, D, Cirillo, DM, Borroni, E, Battaglia, S, Ghodousi, A, Spitaleri, A, Cabibbe, A, Tahseen, S, Nilgiriwala, K, Shah, S, Rodrigues, C, Kambli, P, Surve, U, Khot, R, NIemann, S, Kohl, TA, Merker, M, Hoffman, H, Todt, K, Plesnik, S, Ismail, N, Omar, SV, Joseph, L, Thwaites, G, Thoung, TNT, Ngoc, NH, Srinivasan, V, Walker, TM, Moore, D, Coronel, J, Solano, W, Gao, GF, He, G, Zhao, Y, Liu, C, Ma, A, Zhu, B, Laurenson, I, Claxton, P, Koch, A, Wilkinson, R, Lalvani, A, Posey, J, Gardy, J, Werngren, J, Paton, N, Jou, R, Wu, MH, Lin, WH, Ferrazoli, L, Siqueira de Oliveira, R, Arandjelovic, I, Chaipresert, A, Comas, I, Roig, CJ, Drobniewski, FA, Farhat, MR, Gao, Q, Hee, ROT, and Sintchenko, V
- Abstract
The dN/dS ratio provides evidence of adaptation or functional constraint in protein-coding genes by quantifying the relative excess or deficit of amino acid-replacing versus silent nucleotide variation. Inexpensive sequencing promises a better understanding of parameters such as dN/dS, but analysing very large datasets poses a major statistical challenge. Here I introduce genomegaMap for estimating within-species genome-wide variation in dN/dS, and I apply it to 3,979 genes across 10,209 tuberculosis genomes to characterize the selection pressures shaping this global pathogen. GenomegaMap is a phylogeny-free method that addresses two major problems with existing approaches: (i) it is fast no matter how large the sample size and (ii) it is robust to recombination, which causes phylogenetic methods to report artefactual signals of adaptation. GenomegaMap uses population genetics theory to approximate the distribution of allele frequencies under general, parent-dependent mutation models. Coalescent simulations show that substitution parameters are well-estimated even when genomegaMap’s simplifying assumption of independence among sites is violated. I demonstrate the ability of genomegaMap to detect genuine signatures of selection at antimicrobial resistance-conferring substitutions in M. tuberculosis and describe a novel signature of selection in the cold-shock DEAD-box protein A gene deaD/csdA. The genomegaMap approach helps accelerate the exploitation of big data for gaining new insights into evolution within species.
- Published
- 2020
9. Application of four molecular typing methods for analysis of Mycobacterium fortuitum group strains causing post-mammaplasty infections
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Sampaio, J.L.M., Chimara, E., Ferrazoli, L., da Silva Telles, M.A., Del Guercio, V.M.F., Jericó, Z.V.N., Miyashiro, K., Fortaleza, C.M.C.B., Padoveze, M.C., and Leão, S.C.
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- 2006
- Full Text
- View/download PDF
10. SP1-97 Nontuberculous mycobacteria: comparative analysis with tuberculosis notification in São Paulo State (SPS)
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Pereira, E, Bombarda, S, Chimara, E, Galesi, V, and Ferrazoli, L
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- 2011
- Full Text
- View/download PDF
11. DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis
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Yang, Y, Walker, TM, Walker, AS, Wilson, DJ, Peto, TEA, Crook, DW, Shamout, F, Zhu, T, Clifton, DA, Arandjelovic, I, Comas, I, Farhat, MR, Gao, Q, Sintchenko, V, Van Soolingen, D, Hoosdally, S, Cruz, ALG, Carter, J, Grazian, C, Earle, SG, Kouchaki, S, Fowler, PW, Iqbal, Z, Hunt, M, Smith, EG, Rathod, P, Jarrett, L, Matias, D, Cirillo, DM, Borroni, E, Battaglia, S, Ghodousi, A, Spitaleri, A, Cabibbe, A, Tahseen, S, Nilgiriwala, K, Shah, S, Rodrigues, C, Kambli, P, Surve, U, Khot, R, Niemann, S, Kohl, T, Merker, M, Hoffmann, H, Molodtsov, N, Plesnik, S, Ismail, N, Omar, SV, Thwaites, G, Thuong, NTT, Nhung, HN, Srinivasan, V, Moore, D, Coronel, J, Solano, W, Gao, GF, He, G, Zhao, Y, Ma, A, Liu, C, Zhu, B, Laurenson, I, Claxton, P, Koch, A, Wilkinson, R, Lalvani, A, Posey, J, Gardy, J, Werngren, J, Paton, N, Jou, R, Wu, M-H, Lin, W-H, Ferrazoli, L, De Oliveira, RS, and Wellcome Trust
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DRUG-RESISTANCE ,Technology ,Biochemistry & Molecular Biology ,Science & Technology ,INFORMATION ,MUTATIONS ,CRyPTIC Consortium ,Bioinformatics ,Statistics & Probability ,SUSCEPTIBILITY ,06 Biological Sciences ,GENE ,Biochemical Research Methods ,CLASSIFICATION ,DIMENSIONALITY REDUCTION ,Biotechnology & Applied Microbiology ,Physical Sciences ,Computer Science ,Computer Science, Interdisciplinary Applications ,Mathematical & Computational Biology ,08 Information and Computing Sciences ,Life Sciences & Biomedicine ,Mathematics ,01 Mathematical Sciences - Abstract
Motivation Resistance co-occurrence within first-line anti-tuberculosis (TB) drugs is a common phenomenon. Existing methods based on genetic data analysis of Mycobacterium tuberculosis (MTB) have been able to predict resistance of MTB to individual drugs, but have not considered the resistance co-occurrence and cannot capture latent structure of genomic data that corresponds to lineages. Results We used a large cohort of TB patients from 16 countries across six continents where whole-genome sequences for each isolate and associated phenotype to anti-TB drugs were obtained using drug susceptibility testing recommended by the World Health Organization. We then proposed an end-to-end multi-task model with deep denoising auto-encoder (DeepAMR) for multiple drug classification and developed DeepAMR_cluster, a clustering variant based on DeepAMR, for learning clusters in latent space of the data. The results showed that DeepAMR outperformed baseline model and four machine learning models with mean AUROC from 94.4% to 98.7% for predicting resistance to four first-line drugs [i.e. isoniazid (INH), ethambutol (EMB), rifampicin (RIF), pyrazinamide (PZA)], multi-drug resistant TB (MDR-TB) and pan-susceptible TB (PANS-TB: MTB that is susceptible to all four first-line anti-TB drugs). In the case of INH, EMB, PZA and MDR-TB, DeepAMR achieved its best mean sensitivity of 94.3%, 91.5%, 87.3% and 96.3%, respectively. While in the case of RIF and PANS-TB, it generated 94.2% and 92.2% sensitivity, which were lower than baseline model by 0.7% and 1.9%, respectively. t-SNE visualization shows that DeepAMR_cluster captures lineage-related clusters in the latent space. Availability and implementation The details of source code are provided at http://www.robots.ox.ac.uk/∼davidc/code.php.
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- 2019
12. GenomegaMap: within-species genome-widedN/dSestimation from over 10,000 genomes
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Wilson, DJ, Crook, DW, Peto, TEA, Walker, AS, Hoosdally, SJ, Gibertoni Cruz, AL, Carter, J, Grazian, C, Earle, SG, Kouchaki, S, Lachapelle, A, Yang, Y, Clifton, DA, Fowler, PW, Iqbal, Z, Hunt, M, Knaggs, J, Smith, EG, Rathod, P, Jarrett, L, Matias, D, Cirillo, DM, Borroni, E, Battaglia, S, Ghodousi, A, Spitaleri, A, Cabibbe, A, Tahseen, S, Nilgiriwala, K, Shah, S, Rodrigues, C, Kambli, P, Surve, U, Khot, R, Niemann, S, Kohl, TA, Merker, M, Hoffmann, H, Todt, K, Plesnik, S, Ismail, N, Omar, SV, Joseph, L, Thwaites, G, Thuong, TNT, Ngoc, NH, Srinivasan, V, Walker, TM, Moore, D, Coronel, J, Solano, W, Gao, GF, He, G, Zhao, Y, Liu, C, Ma, A, Zhu, B, Laurenson, I, Claxton, P, Koch, A, Wilkinson, R, Lalvani, A, Posey, J, Gardy, J, Werngren, J, Paton, N, Jou, R, Wu, M-H, Lin, W-H, Ferrazoli, L, De Oliveira, RS, Arandjelovic, I, Chaiprasert, A, Comas, I, Roig, CJ, Drobniewski, FA, Farhat, MR, Gao, Q, Hee, ROT, Sintchenko, V, Supply, P, Van Soolingen, D, University of Oxford, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), D.J.W. is a Sir Henry Dale Fellow, jointly funded by the Wellcome Trust and the Royal Society (grant no. 101237/Z/13/B) and is a Big Data Institute Robertson Fellow. The CRyPTIC Consortium was supported by grants from the Bill and Melinda Gates Foundation (OPP1133541) and a Wellcome Trust/Newton Fund-MRC Collaborative Award (200205/Z/15/Z). F.A.D. was supported by the Imperial Biomedical Research Centre., Members of the CRyPTIC Consortium : Derrick W. Crook, Timothy E.A. Peto, A. Sarah Walker, Sarah J. Hoosdally, Ana L. Gibertoni Cruz, Joshua Carter, Clara Grazian, Sarah G. Earle, Samaneh Kouchaki, Alexander Lachapelle, Yang Yang, David A. Clifton, and Philip W. Fowler, University of Oxford, Zamin Iqbal, Martin Hunt, and Jeffrey Knaggs, European Bioinformatics Institute, E. Grace Smith, Priti Rathod, Lisa Jarrett, and Daniela Matias, Public Health England, Birmingham, Daniela M. Cirillo, Emanuele Borroni, Simone Battaglia, Arash Ghodousi, Andrea Spitaleri, and Andrea Cabibbe, Emerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Sabira Tahseen, National Tuberculosis Control Program Pakistan, Islamabad, Kayzad Nilgiriwala and Sanchi Shah, The Foundation for Medical Research, Mumbai, Camilla Rodrigues, Priti Kambli, Utkarsha Surve, and Rukhsar Khot, P.D. Hinduja National Hospital and Medical Research Centre, Mumbai, Stefan Niemann, Thomas A. Kohl, and Matthias Merker, Research Center Borstel, Harald Hoffmann, Katharina Todt, and Sara Plesnik, Institute of Microbiology & Laboratory Medicine, IML Red, Gauting, Nazir Ismail, Shaheed Vally Omar, and Lavania Joseph, National Institute for Communicable Diseases, Johannesburg, Guy Thwaites, Thuong Nguyen Thuy Thuong, Nhung Hoang Ngoc, Vijay Srinivasan, and Timothy M. Walker, Oxford University Clinical Research Unit, Ho Chi Minh City, David Moore, Jorge Coronel and Walter Solano, London School of Hygiene and Tropical Medicine and Universidad Peruana Cayetano Heredá, Lima, George F. Gao, Guangxue He, Yanlin Zhao, and Chunfa Liu, China CDC, Beijing, Aijing Ma, Shenzhen Third People’s Hospital, Shenzhen, Baoli Zhu, Institute of Microbiology, CAS, Beijing, Ian Laurenson and Pauline Claxton, Scottish Mycobacteria Reference Laboratory, Edinburgh, Anastasia Koch, Robert Wilkinson, University of Cape Town, Ajit Lalvani, Imperial College London, James Posey, CDC Atlanta, Jennifer Gardy, University of British Columbia, Jim Werngren, Public Health Agency of Sweden, Nicholas Paton, National University of Singapore, Ruwen Jou, Mei-Hua Wu, Wan-Hsuan Lin, CDC Taiwan, Lucilaine Ferrazoli, Rosangela Siqueira de Oliveira, Institute Adolfo Lutz, São Paulo. Authors contributing to the CRyPTIC Consortium are (in alphabetical order): Irena Arandjelovic (Institute of Microbiology and Immunology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia), Angkana Chaiprasert (Faculty of Medicine Siriraj Hospital, Mahidol University, Thailand), Iñaki Comas (Instituto de Biomedicina de Valencia [IBV-CSIC], Calle Jaime Roig, Valencia, Spain, FISABIO Public Health, Valencia, Spain, CIBER in Epidemiology and Public Health, Madrid, Spain), Francis A. Drobniewski (Imperial College, London, UK), Maha R. Farhat (Harvard Medical School, Boston, USA), Qian Gao (Shanghai Medical College, Fudan University, Shanghai, China), Rick Ong Twee Hee (Saw Swee Hock School of Public Health, National University of Singapore, Singapore), Vitali Sintchenko (Centre for Infectious Diseases and Microbiology—Public Health, University of Sydney, Sydney, Australia), Philip Supply (Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019—UMR 8204—CIIL—Centre d’Infection et d’Immunité de Lille, F-59000 Lille, France), and Dick van Soolingen (National Institute for Public Health and the Environment [RIVM], Bilthoven, The Netherlands)., Supply, Philip, Consortium, CRyPTIC, University of Oxford [Oxford], Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Royal Society (UK), Bill & Melinda Gates Foundation, Newton Fund, Comas, Iñaki [0000-0001-5504-9408], and Comas, Iñaki
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Natural selection ,[SDV]Life Sciences [q-bio] ,Population genetics ,adaptation ,Computational biology ,Biology ,AcademicSubjects/SCI01180 ,0601 Biochemistry and Cell Biology ,Genome ,Coalescent theory ,DEAD-box RNA Helicases ,Big data ,03 medical and health sciences ,0603 Evolutionary Biology ,big data ,Parent-dependent mutation ,Genetics ,dN/dS ,Adaptation ,Selection, Genetic ,Molecular Biology ,Allele frequency ,Ecology, Evolution, Behavior and Systematics ,Silent Mutation ,Selection (genetic algorithm) ,030304 developmental biology ,Evolutionary Biology ,0604 Genetics ,0303 health sciences ,Models, Genetic ,Phylogenetic tree ,030306 microbiology ,AcademicSubjects/SCI01130 ,natural selection ,Mycobacterium tuberculosis ,Recombination ,Resources ,recombination ,3. Good health ,[SDV] Life Sciences [q-bio] ,Genetic Techniques ,Mutation (genetic algorithm) ,parent-dependent mutation ,Genome, Bacterial - Abstract
11 págs, 4 figuras y fórmulas matemáticas. Material suplementario en: http://dx.doi.org/10.1093/molbev/msaa069, The dN/dS ratio provides evidence of adaptation or functional constraint in protein-coding genes by quantifying the relative excess or deficit of amino acid-replacing versus silent nucleotide variation. Inexpensive sequencing promises a better understanding of parameters, such as dN/dS, but analyzing very large data sets poses a major statistical challenge. Here, I introduce genomegaMap for estimating within-species genome-wide variation in dN/dS, and I apply it to 3,979 genes across 10,209 tuberculosis genomes to characterize the selection pressures shaping this global pathogen. GenomegaMap is a phylogeny-free method that addresses two major problems with existing approaches: 1) It is fast no matter how large the sample size and 2) it is robust to recombination, which causes phylogenetic methods to report artefactual signals of adaptation. GenomegaMap uses population genetics theory to approximate the distribution of allele frequencies under general, parent-dependent mutation models. Coalescent simulations show that substitution parameters are well estimated even when genomegaMap's simplifying assumption of independence among sites is violated. I demonstrate the ability of genomegaMap to detect genuine signatures of selection at antimicrobial resistance-conferring substitutions in Mycobacterium tuberculosis and describe a novel signature of selection in the cold-shock DEAD-box protein A gene deaD/csdA. The genomegaMap approach helps accelerate the exploitation of big data for gaining new insights into evolution within species., D.J.W. is a Sir Henry Dale Fellow, jointly funded by the Wellcome Trust and the Royal Society (grant no. 101237/Z/13/B) and is a Big Data Institute Robertson Fellow. The CRyPTIC Consortium was supported by grants from the Bill and Melinda Gates Foundation (OPP1133541) and a Wellcome Trust/Newton Fund-MRC Collaborative Award (200205/Z/15/Z). F.A.D. was supported by the Imperial Biomedical Research Centre
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- 2019
13. Application of machine learning techniques to tuberculosis drug resistance analysis
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Kouchaki, S, Yang, YY, Walker, TM, Walker, AS, Wilson, DJ, Peto, TEA, Crook, DW, Clifton, DA, Hoosdally, SJ, Gibertoni Cruz, AL, Carter, J, Grazian, C, Fowler, PW, Iqbal, Z, Hunt, M, Smith, EG, Rathod, P, Jarrett, L, Matias, D, Cirillo, DM, Borroni, E, Battaglia, S, Ghodousi, A, Spitaleri, A, Cabibbe, A, Tahseen, S, Nilgiriwala, K, Shah, S, Rodrigues, C, Kambli, P, Surve, U, Khot, R, Niemann, S, Kohl, T, Merker, M, Hoffmann, H, Molodtsov, N, Plesnik, S, Ismail, N, Omar, SV, Joseph, L, Marubini, E, Thwaites, G, Thuong, TNT, Ngoc, NH, Srinivasan, V, Moore, D, Coronel, J, Solano, W, Gao, GF, He, G, Zhao, Y, Ma, A, Liu, C, Zhu, B, Laurenson, I, Claxton, P, Wilkinson, RJ, Lalvani, A, Posey, J, Gardy, J, Werngren, J, Paton, N, Jou, R, Wu, MH, Lin, WH, Ferrazoli, L, De Oliveira, RS, Arandjelovic, I, Comas, I, Drobniewski, F, Gao, Q, Sintchenko, V, Supply, P, Van Soolingen, D, Kouchaki, S, Yang, YY, Walker, TM, Walker, AS, Wilson, DJ, Peto, TEA, Crook, DW, Clifton, DA, Hoosdally, SJ, Gibertoni Cruz, AL, Carter, J, Grazian, C, Fowler, PW, Iqbal, Z, Hunt, M, Smith, EG, Rathod, P, Jarrett, L, Matias, D, Cirillo, DM, Borroni, E, Battaglia, S, Ghodousi, A, Spitaleri, A, Cabibbe, A, Tahseen, S, Nilgiriwala, K, Shah, S, Rodrigues, C, Kambli, P, Surve, U, Khot, R, Niemann, S, Kohl, T, Merker, M, Hoffmann, H, Molodtsov, N, Plesnik, S, Ismail, N, Omar, SV, Joseph, L, Marubini, E, Thwaites, G, Thuong, TNT, Ngoc, NH, Srinivasan, V, Moore, D, Coronel, J, Solano, W, Gao, GF, He, G, Zhao, Y, Ma, A, Liu, C, Zhu, B, Laurenson, I, Claxton, P, Wilkinson, RJ, Lalvani, A, Posey, J, Gardy, J, Werngren, J, Paton, N, Jou, R, Wu, MH, Lin, WH, Ferrazoli, L, De Oliveira, RS, Arandjelovic, I, Comas, I, Drobniewski, F, Gao, Q, Sintchenko, V, Supply, P, and Van Soolingen, D
- Abstract
Motivation: Timely identification of Mycobacterium tuberculosis (MTB) resistance to existing drugs is vital to decrease mortality and prevent the amplification of existing antibiotic resistance. Machine learning methods have been widely applied for timely predicting resistance of MTB given a specific drug and identifying resistance markers. However, they have been not validated on a large cohort of MTB samples from multi-centers across the world in terms of resistance prediction and resistance marker identification. Several machine learning classifiers and linear dimension reduction techniques were developed and compared for a cohort of 13 402 isolates collected from 16 countries across 6 continents and tested 11 drugs. Results: Compared to conventional molecular diagnostic test, area under curve of the best machine learning classifier increased for all drugs especially by 23.11%, 15.22% and 10.14% for pyrazinamide, ciprofloxacin and ofloxacin, respectively (P < 0.01). Logistic regression and gradient tree boosting found to perform better than other techniques. Moreover, logistic regression/gradient tree boosting with a sparse principal component analysis/non-negative matrix factorization step compared with the classifier alone enhanced the best performance in terms of F1-score by 12.54%, 4.61%, 7.45% and 9.58% for amikacin, moxifloxacin, ofloxacin and capreomycin, respectively, as well increasing area under curve for amikacin and capreomycin. Results provided a comprehensive comparison of various techniques and confirmed the application of machine learning for better prediction of the large diverse tuberculosis data. Furthermore, mutation ranking showed the possibility of finding new resistance/susceptible markers.
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- 2019
14. Hospital bronchoscopy-related pseudo-outbreak caused by a circulating Mycobacterium abscessus subsp. massiliense
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Fernandes Garcia de Carvalho, N., primary, Rodrigues Mestrinari, A.C., additional, Brandão, A., additional, Souza Jorge, L., additional, Franco, C., additional, da Silveira Paro Pedro, H., additional, de Lucca Oliveira, M.G., additional, Blaz Trombim, P.E., additional, Brandão, D., additional, Ferrazoli, L., additional, and Chimara, E., additional
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- 2018
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15. Diabetes increases the risk of recent-transmission tuberculosis in household contacts in São Paulo, Brazil
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Rajan, J. V., primary, Ferrazoli, L., additional, Waldman, E. A., additional, Simonsen, V., additional, Ferreira, P., additional, Telles, M. A., additional, and Riley, L. W., additional
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- 2017
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16. Mycobacterium tuberculosis strains of Beijing genotype are rarely observed in tuberculosis patients in South America
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Ritacco, V., López, B., Cafrune, P. I., Ferrazoli, L., Suffys, P. N., Candia, N., Vásquez, L., Realpe, T., Fernández, J., Lima, K. V., Zurita, J., Robledo, J., Rossetti, M. L., Kritski, A. L., Telles, M. A., Palomino, J. C., Heersma, H., van Soolingen, D., Kremer, K., and Barrera, L.
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Mycobacteriology ,Virulence ,Molecular epidemiology ,Drug resistance ,Genotypes ,Prevalence ,America, Latin ,Strains ,Beijing genotype ,Mycobacterium tuberculosis - Abstract
The frequency of the Beijing genotype of Mycobacterium tuberculosis as a cause of tuberculosis (TB) in South America was determined by analyzing genotypes of strains isolated from patients that had been diagnosed with the disease between 1997 and 2003 in seven countries of the subcontinent. In total, 19 of the 1,202 (1.6%) TB cases carried Beijing isolates, including 11 of the 185 patients from Peru (5.9%), five of the 512 patients from Argentina (1.0%), two of the 252 Brazilian cases (0.8%), one of the 166 patients from Paraguay (0.6%) and none of the samples obtained from Chile (35), Colombia (36) and Ecuador (16). Except for two patients that were East Asian immigrants, all cases with Beijing strains were native South Americans. No association was found between carrying a strain with the Beijing genotype and having drug or multi-drug resistant disease. Our data show that presently transmission of M. tuberculosis strains of the Beijing genotype is not frequent in Latin America. In addition, the lack of association of drug resistant TB and infection with M. tuberculosis of the Beijing genotype observed presently demands efforts to define better the contribution of the virulence and lack of response to treatment to the growing spread of Beijing strains observed in other parts of the world.
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- 2008
17. Usefulness of Mycobacterium tuberculosis molecular typing in tuberculosis low-endemic agro-industrial setting of Brazil
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Malaspina, A. C., Cavalcanti, H. R., Leite, C. Q. F., Machado, S. M. A., Viana, B. H. J., Silva, R. M. G., Hage, E. F., Figueiredo, W. M., Marques, E., Ferrazoli, L., Arbex, M., Lessi, M., Fonseca, L. S., Rigouts, L., and Saad, M. H. F.
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Phylogenetics ,Spoligotyping ,Clusters ,America, Latin ,Transmission ,Bacteriology ,RFLP ,Mycobacterium tuberculosis ,Brazil - Abstract
To highlight the transmission and major phylogenetic clades of Mycobacterium tuberculosis, a retrospective study was carried out at two health facilities in a small agro-industrial area in Sao Paulo, Brazil, that has a low tuberculosis incidence rate. IS6110-RFLP and spoligotyping were performed on the isolates, with the former revealing that 31.3% (35/112) of strains were clustered. Epidemiological links were found in 16 of the 35 clustered patients and were associated with transmission among patients living in public housing. Spoligotyping grouped 62.8% of the strains. The T genetic family predominated among the isolates. Of interest is that five strains had a pattern characteristic of African or Asian origin (ST535), and two others were of the rare localized type ST1888 (BRA, VEN). In addition, three new types--1889, 1890, and 1891--were identified. Spoligotyping showed that some ST may be circulating to or from Brazil, and RFLP revealed ongoing transmission in inadequately ventilated public-housing buildings. This may point to a failure in tuberculosis control policy.
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- 2008
18. P1-332 First insight into genetic diversity of Mycobacterium tuberculosis strains in Salvador, Brazil
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Silva, A., primary, Ferrazoli, L., additional, Reis, J., additional, Pereira, S., additional, Mota, E., additional, and Reis, M., additional
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- 2011
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19. Outbreak of surgical infection caused by non-tuberculous mycobacteria in breast implants in Brazil
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Padoveze, M.C., primary, Fortaleza, C.M.C.B., additional, Freire, M.P., additional, Brandão de Assis, D., additional, Madalosso, G., additional, Pellini, A.C.G., additional, César, M.L.V., additional, Pisani Neto, V., additional, Beltramelli, M.M., additional, Chimara, E., additional, Ferrazoli, L., additional, da Silva Telles, M.A., additional, Sampaio, J.L.M., additional, and Leão, S.C., additional
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- 2007
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20. Catalase Expression, katG, And MIC Of Isoniazid For Mycobacterium tuberculosis Isolates From SaO Paulo, Brazil
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Ferrazoli, L., primary, Palaci, M., additional, da Silva Telles, M. A., additional, Ueki, S. Y., additional, Kritski, A., additional, Marques, L. R. M., additional, Ferreira, O. C., additional, and Riley, L. W., additional
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- 1995
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21. Isolation of Mycobacterium avium Complex from Bone Marrow Aspirates of AIDS Patients in Brazil
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Barreto, J. A., primary, Palaci, M., additional, Ferrazoli, L., additional, Martins, M. C., additional, Suleiman, J., additional, Lorenco, R., additional, Ferreira, O. C., additional, Riley, L. W., additional, Johnson, W. D., additional, and Ayroza Galvao, P. A., additional
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- 1993
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22. High prevalence of drug-resistant tuberculosis and other mycobacteria among HIV-infected patients in Brazil: a systematic review
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Rh, Bammann, La, Zamarioli, Vs, Pinto, Cm, Vázquez, Mn, Litvoc, Giselle Klautau, Fa, Melo, Nj, Cavalcante, and Ferrazoli L
23. Tuberculosis and HIV infection among female inmates in Sao Paulo, Brazil: a prospective cohort study
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Ferreira, M.M.C., Ferrazoli, L., Palaci, M., Salles, P.S., Medeiros, L.A., Novoa, P., Kiefer, C.R., Schechtmann, M., Kritski, A.L., Johnson, W.D., Riley, L.W., and Ferreira, O.C.
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Women prisoners -- Diseases ,HIV infection in women -- Demographic aspects ,Tuberculosis - Abstract
Ferreira, M.M.C.; Ferrazoli, L.; Palaci, M.; Salles, P.S.; Medeiros, L.A.; Novoa, P.; Kiefer, C.R.; Schechtmann, M.; Kritski, A.L.; Johnson, W.D.; Riley, L.W.; Ferreira, O.C. "Tuberculosis and HIT Infection among Female [...]
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- 1996
24. Antimicrobial resistance of mycobacterium tuberculosis (M.tuberculosis) strains isolated from HIV infected patients in the city of Sao Paulo (Brazil): resistance profile
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Walkyria, P., Hadad, D.J., Palhares, M.C.A., Placco, A.L.N., Santos, M.T.S., Ferrazoli, L., Telles, M.A.S., Martins, M.C., Ueki, S., and Palaci, M.
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Mycobacterium tuberculosis -- Research ,HIV infection -- Complications ,Drug resistance in microorganisms -- Testing ,Brazil -- Health aspects - Abstract
According to an abstract submitted by the authors to the Conference on Global Lung Health and the 1995 Annual Meeting of the IUATLD/UICTMR, held September 9-12, 1995, in Paris, France, [...]
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- 1996
25. Prevalence of mycobacterial disease in a population infected with human immunodeficiency virus (HIV) in greater Sao Paulo
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Hadad, D.J., Palhares, M.C.A., Santos, M.T.F., Placco, A.N., Palaci, M.J., Telles, M.A., Ferrazoli, L., Marques, C.S.B., and Filho, A.C.
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Mycobacterial infections -- Demographic aspects ,HIV infection -- Complications ,Tuberculosis -- Demographic aspects ,Sao Paulo, Brazil (City) -- Health aspects - Abstract
According to an abstract submitted by the authors to the Conference on Global Lung Health and the 1995 Annual Meeting of the IUATLD/UICTMR, held September 9-12, 1995, in Paris, France, [...]
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- 1996
26. Reliable identification of mycobacterial species by PCR-restriction enzyme analysis (PRA)-hsp65 in a reference laboratory and elaboration of a sequence-based extended algorithm of PRA-hsp65 patterns
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Arbeit Robert D, Durham Alan, Ueky Suely, Martins Maria, Ferrazoli Lucilaine, Chimara Erica, and Leão Sylvia
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Microbiology ,QR1-502 - Abstract
Abstract Background Identification of nontuberculous mycobacteria (NTM) based on phenotypic tests is time-consuming, labor-intensive, expensive and often provides erroneous or inconclusive results. In the molecular method referred to as PRA-hsp65, a fragment of the hsp65 gene is amplified by PCR and then analyzed by restriction digest; this rapid approach offers the promise of accurate, cost-effective species identification. The aim of this study was to determine whether species identification of NTM using PRA-hsp65 is sufficiently reliable to serve as the routine methodology in a reference laboratory. Results A total of 434 NTM isolates were obtained from 5019 cultures submitted to the Institute Adolpho Lutz, Sao Paulo Brazil, between January 2000 and January 2001. Species identification was performed for all isolates using conventional phenotypic methods and PRA-hsp65. For isolates for which these methods gave discordant results, definitive species identification was obtained by sequencing a 441 bp fragment of hsp65. Phenotypic evaluation and PRA-hsp65 were concordant for 321 (74%) isolates. These assignments were presumed to be correct. For the remaining 113 discordant isolates, definitive identification was based on sequencing a 441 bp fragment of hsp65. PRA-hsp65 identified 30 isolates with hsp65 alleles representing 13 previously unreported PRA-hsp65 patterns. Overall, species identification by PRA-hsp65 was significantly more accurate than by phenotype methods (392 (90.3%) vs. 338 (77.9%), respectively; p < .0001, Fisher's test). Among the 333 isolates representing the most common pathogenic species, PRA-hsp65 provided an incorrect result for only 1.2%. Conclusion PRA-hsp65 is a rapid and highly reliable method and deserves consideration by any clinical microbiology laboratory charged with performing species identification of NTM.
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- 2008
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27. 407-PA12 Antimicrobial resistance of Mycobacterium tuberculosis (M. tuberculosis) strains isolated from HIV-infected patients in the city of São Paulo (Brazil): predisposing factors
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Pinto Walkyria, P., Hadad, D.J., Palhares, M.C.A., Placco, A.L.N., Santos, M.T.F., Ferrazoli, L., Telles, M.A.S., Martins, M.C., Ueki, S.Y.M., and Palaci, M.
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- 1995
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28. 408-PA12 Antimicrobial resistance of Mycobacterium tuberculosis ( M. tuberculosis) strains isolated from HIV-infected patients in the city of São Paulo (Brazil): resistance profile
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Pinto Walkyria, P., Hadad, D.J., Palhares, M.C.A., Placco, A.L.N., Santos, M.T.F., Ferrazoli, L., Telles, M.A.S., Martins, M.C., Ueki, S.Y.M., and Palaci, M.
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- 1995
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29. 406-PA12 Prevalence of mycobacterial disease in a population infected with human immunodeficiency virus (HIV) in Greater São Paulo
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Hadad, D.J., Palhares, M.C.A., Santos, M.T.F., Placco, A.L.N., Palaci, M., Telles, M.A.S., Ferrazoli, L., Domingues, C.S.B., Marques, L.R.M., and Filho, A.C.
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- 1995
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30. A descriptive study on isoniazid resistance-associated mutations, clustering and treatment outcomes of drug-resistant tuberculosis in a high burden country.
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Pinhata JMW, Ferrazoli L, Mendes FF, Gonçalves MG, Rabello MCDS, Ghisi KT, Simonsen V, Cavalin RF, Lindoso AABP, and de Oliveira RS
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- Humans, Adult, Middle Aged, Isoniazid pharmacology, Isoniazid therapeutic use, Antitubercular Agents pharmacology, Antitubercular Agents therapeutic use, Drug Resistance, Multiple, Bacterial genetics, Brazil epidemiology, Mutation, Microbial Sensitivity Tests, Bacterial Proteins genetics, Tuberculosis, Multidrug-Resistant drug therapy, Tuberculosis, Multidrug-Resistant epidemiology, Tuberculosis, Multidrug-Resistant microbiology, Mycobacterium tuberculosis
- Abstract
Purpose: To describe katG and inhA mutations, clinical characteristics, treatment outcomes and clustering of drug-resistant tuberculosis (TB) in the State of São Paulo, southeast Brazil., Methods: Mycobacterium tuberculosis isolates from patients diagnosed with drug-resistant TB were screened for mutations in katG and inhA genes by line probe assay and Sanger sequencing, and typed by IS6110-restriction fragment-length polymorphism for clustering assessment. Clinical, epidemiological and demographic data were obtained from surveillance information systems for TB., Results: Among the 298 isolates studied, 127 (42.6%) were isoniazid-monoresistant, 36 (12.1%) polydrug-resistant, 93 (31.2%) MDR, 16 (5.4%) pre-extensively drug-resistant (pre-XDR), 9 (3%) extensively drug-resistant (XDR) and 17 (5.7%) susceptible after isoniazid retesting. The frequency of katG 315 mutations alone was higher in MDR isolates, while inhA promoter mutations alone were more common in isoniazid-monoresistant isolates. Twenty-six isolates phenotypically resistant to isoniazid had no mutations either in katG or inhA genes. The isolates with inhA mutations were found more frequently in clusters (75%) when compared to the isolates with katG 315 mutations (59.8%, p = 0.04). In our population, being 35-64 years old, presenting MDR-, pre-XDR- or XDR-TB and being a retreatment case were associated with unfavourable TB treatment outcomes., Conclusion: We found that katG and inhA mutations were not equally distributed between isoniazid-monoresistant and MDR isolates. In our population, clustering was higher for isolates with inhA mutations. Finally, unfavourable TB outcomes were associated with specific factors., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2024
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31. Cost analysis of GenoType® MTBDRplus and GenoType® MTBDRsl at the State Laboratory of São Paulo, Brazil.
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Figueredo LJA, César ALA, Ferrazoli L, Chimara E, Vater MC, Silva SCAD, Kritski AL, and Miranda SS
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- Humans, Brazil, Sensitivity and Specificity, Microbial Sensitivity Tests, Genotype, Costs and Cost Analysis, Antitubercular Agents therapeutic use, Mycobacterium tuberculosis genetics, Tuberculosis, Multidrug-Resistant diagnosis, Tuberculosis, Multidrug-Resistant drug therapy
- Abstract
Background: We aimed to evaluate the costs of GenoType® MTBDRplus and MTBDRsl incurred during the diagnosis of first- and second-line drug-resistant tuberculosis (TB) in São Paulo, Brazil., Methods: Mean and activity-based costs of GenoType® were calculated in a referral laboratory for TB in Brazil., Results: The mean cost value and activity-based cost of GenoType® MTBDRplus were USD 19.78 and USD 35.80 and those of MTBDRsl were USD 54.25 and USD 41.85, respectively., Conclusions: The cost of GenoType® MTBDRplus was reduced owing to the high number of examinations performed and work optimization.
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- 2023
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32. GenoType MTBDRsl for detection of second-line drugs and ethambutol resistance in multidrug-resistant Mycobacterium tuberculosis isolates at a high-throughput laboratory.
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Pinhata JMW, Brandao AP, Gallo JF, Oliveira RS, and Ferrazoli L
- Subjects
- Humans, Brazil, Capreomycin pharmacology, Fluoroquinolones pharmacology, Genotype, Microbial Sensitivity Tests, Genotyping Techniques, Aminoglycosides pharmacology, Antitubercular Agents pharmacology, Ethambutol pharmacology, Mycobacterium tuberculosis drug effects, Mycobacterium tuberculosis genetics, Mycobacterium tuberculosis isolation & purification, Tuberculosis, Multidrug-Resistant microbiology, Drug Resistance, Multiple, Bacterial genetics
- Abstract
We assessed the performance of MTBDRsl for detection of resistance to fluoroquinolones, aminoglycosides/cyclic peptides, and ethambutol compared to BACTEC MGIT 960 by subjecting simultaneously to both tests 385 phenotypically multidrug-resistant-Mycobacterium tuberculosis isolates from Sao Paulo, Brazil. Discordances were resolved by Sanger sequencing. MTBDRsl correctly detected 99.7% of the multidrug-resistant isolates, 87.8% of the pre-XDR, and 73.9% of the XDR. The assay showed sensitivity of 86.4%, 100%, 85.2% and 76.4% for fluoroquinolones, amikacin/kanamycin, capreomycin and ethambutol, respectively. Specificity was 100% for fluoroquinolones and aminoglycosides/cyclic peptides, and 93.6% for ethambutol. Most fluoroquinolone-discordances were due to mutations in genome regions not targeted by the MTBDRsl v. 1.0: gyrA_H70R and gyrB_R446C, D461N, D449V, and N488D. Capreomycin-resistant isolates with wild-type rrs results on MTBDRsl presented tlyA mutations. MTBDRsl presented good performance for detecting resistance to second-line drugs and ethambutol in clinical isolates. In our setting, multidrug-resistant. isolates presented mutations not targeted by the molecular assay., (Copyright © 2022 Elsevier Inc. All rights reserved.)
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- 2023
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33. Viability assessment of Mycobacterium tuberculosis complex in OMNIgene • SPUTUM reagent using the BACTEC MGIT 960 System and Xpert MTB/RIF assay.
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Guirelli AO, Dos Santos Carmo AM, Eterovic A, Ferrazoli L, Dos Santos Menezes Gaiotto Daros V, and Cergole-Novella MC
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- Humans, Indicators and Reagents, Sensitivity and Specificity, Bacteriological Techniques instrumentation, Bacteriological Techniques methods, Microbial Viability, Mycobacterium tuberculosis genetics, Sputum microbiology, Tuberculosis diagnosis, Tuberculosis microbiology
- Abstract
The World Health Organization advocates that sputum specimens submitted to tuberculosis (TB) diagnostic should be processed within 48 h after collection and be stored under cooling. We aimed to assess the performance of OMNIgene • SPUTUM reagent in maintaining viable specimens of Mycobacterium tuberculosis complex (MTBC) during transportation of sputum samples without refrigeration, in comparison to the standard protocol of the National TB Control Program. Sputum samples obtained in southeastern Brazil (June 2017 to July 2018) from 100 sequential patients with positive acid-fast bacillus smear microscopy were divided into two portions. Portion 1 continued to be cooled (standard protocol, STA), but portion 2 was added to OMNIgene • SPUTUM reagent (alternative protocol, OMS) until concomitant further processing. Both portions of all samples were cultured using MGIT and tested by Xpert MTB/RIF assay. Growth of MTBC in the first 42 days was detected in 96% of the cultures under the STA and 88% under the OMS. Intervals between processing and detecting MTBC growth in the two portions significantly differed (p = 0.0001). Portions under the two protocols showed similar results in the MTBC detection by Xpert assay and culture contamination by non-MTBC. The OMNIgene reagent liquefies and decontaminates sputum leading to a decrease in processing time. Although there was a small delay in mycobacterial growth, the OMNIgene reagent can be useful in specimens transported from collection sites over a long distance to centralized testing centers, maintaining viable MTBC for at least 8 days at room temperature., (© 2021. Sociedade Brasileira de Microbiologia.)
- Published
- 2021
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34. Correlating genetic mutations with isoniazid phenotypic levels of resistance in Mycobacterium tuberculosis isolates from patients with drug-resistant tuberculosis in a high burden setting.
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Pinhata JMW, Brandao AP, Mendes FF, Rabello MCDS, Ferrazoli L, and de Oliveira RS
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- Bacterial Proteins genetics, Bacterial Proteins metabolism, Brazil, Catalase genetics, Catalase metabolism, DNA-Directed RNA Polymerases genetics, DNA-Directed RNA Polymerases metabolism, Genotype, Humans, Microbial Sensitivity Tests, Mutation, Mycobacterium tuberculosis isolation & purification, Oxidoreductases genetics, Oxidoreductases metabolism, Prospective Studies, Antitubercular Agents pharmacology, Isoniazid pharmacology, Mycobacterium tuberculosis drug effects, Mycobacterium tuberculosis genetics, Tuberculosis, Multidrug-Resistant microbiology
- Abstract
We analysed mutations in katG, inhA and rpoB genes, and isoniazid phenotypic resistance levels in Mycobacterium tuberculosis isolates from drug-resistant TB patients from São Paulo state, Brazil. Isolates resistant to the critical concentration of isoniazid in MGIT (0.1 µg/mL) were screened for mutations in katG 315 codon, inhA promoter region and rpoB RRDR by MTBDRplus assay and subjected to determination of isoniazid resistance levels by MGIT 960. Discordances were resolved by Sanger sequencing. Among the 203 isolates studied, 109 (54%) were isoniazid-monoresistant, 47 (23%) MDR, 29 (14%) polydrug-resistant, 12 (6%) pre-XDR and 6 (3%) XDR. MTBDRplus detected isoniazid mutations in 75% (153/203) of the isolates. Sequencing of the entire katG and inhA genes revealed mutations in 18/50 wild-type isolates by MTBDRplus (10 with novel mutations), resulting in a total of 32/203 (16%) isolates with no mutations detected. 81/83 (98%) isolates with katG 315 mutations alone had intermediate resistance. Of the 66 isolates with inhA C-15T mutation alone, 51 (77%) showed low-level, 14 (21%) intermediate and 1 (2%) high-level resistance. 5/6 (83%) isolates with mutations in both katG and inhA had high-level resistance. Inferred mutations corresponded to 22% (16/73) of all mutations found in rpoB. Mutations detected in katG regions other than codon 315 in this study might be potential new isoniazid resistance markers and could explain phenotypic resistance in some isolates without katG and inhA classic mutations. In our setting, 16% of isoniazid-resistant isolates, some with high-level resistance, presented no mutations either in katG or inhA., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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- 2021
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35. Molecular epidemiology of Mycobacterium tuberculosis in Brazil before the whole genome sequencing era: a literature review.
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Conceição EC, Salvato RS, Gomes KM, Guimarães AEDS, da Conceição ML, Souza E Guimarães RJP, 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, and Lima KVB
- Subjects
- Bacterial Typing Techniques, Brazil epidemiology, Genotype, Humans, Molecular Epidemiology, Mycobacterium tuberculosis isolation & purification, Whole Genome Sequencing, Minisatellite Repeats genetics, Mycobacterium tuberculosis genetics, Polymorphism, Restriction Fragment Length genetics
- 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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- 2021
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36. Transmission of Mycobacterium tuberculosis presenting unusually high discordance between genotypic and phenotypic resistance to rifampicin in an endemic tuberculosis setting.
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Brandao AP, Pinhata JMW, Simonsen V, Oliveira RS, Ghisi KT, Rabello MCS, Fukasava S, and Ferrazoli L
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Antibiotics, Antitubercular pharmacology, Brazil epidemiology, Cross-Sectional Studies, DNA-Directed RNA Polymerases genetics, Female, Genotype, Humans, Male, Middle Aged, Mycobacterium tuberculosis drug effects, Mycobacterium tuberculosis isolation & purification, Phenotype, Tuberculosis, Multidrug-Resistant drug therapy, Tuberculosis, Multidrug-Resistant microbiology, Young Adult, Bacterial Proteins genetics, Drug Resistance, Bacterial genetics, Epidemics statistics & numerical data, Mutation, Mycobacterium tuberculosis genetics, Rifampin pharmacology, Tuberculosis, Multidrug-Resistant transmission
- Abstract
Background: Since the implementation of the Xpert MTB/RIF in Sao Paulo, Brazil, numerous Mycobacterium tuberculosis isolates presenting "rifampicin-resistant genotype with rifampicin-susceptible phenotype" were observed., Objective: To evaluate the prevalence, rpoB mutations and transmission of M. tuberculosis resistant to rifampicin on Xpert MTB/RIF but susceptible on BACTEC MGIT system, in Sao Paulo state., Methods: Patients' isolates with this pattern of rifampicin discordance, collected from 2014 to 2017, had their rpoB predominant rifampicin-resistance-determining region sequenced and were genotyped by IS6110 restriction fragment-length polymorphism., Findings: The prevalence of rifampicin-discordant M. tuberculosis with genotypic resistance was 55.1% (156/283). Among the sequenced and genotyped isolates, 75.5% (111/147) were in clusters, largely associated with the type of rpoB mutation. Most isolates (98.6%; 72/73) harbouring the predominant mutation, His445Asn, were pooled into the two largest clusters, SP2ga (42/72; 58.3%) and SP5o (12/72; 16.7%). Ranking second, isolates carrying the silent mutation Phe433Phe were mostly (92.3%; 24/26) gathered into four groups of the family SP25., Conclusion: These findings suggest that this unusual high rifampicin discrepancy proportion was greatly influenced by few actively circulating clusters. Further studies on many of the rpoB mutations identified in our setting are needed to elucidate their association with phenotypic rifampicin resistance., (Copyright © 2020. Published by Elsevier Ltd.)
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- 2020
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37. Transmission and prevalence of drug-resistant tuberculosis in a Brazilian setting under a directly observed therapy short-course strategy.
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Latrilha FO, Simonsen V, Pinhata JMW, Brandão AP, Galesi VMN, Waldman EA, and Ferrazoli L
- Subjects
- Adolescent, Adult, Brazil epidemiology, Cross-Sectional Studies, Female, Humans, Male, Mycobacterium tuberculosis genetics, Polymorphism, Restriction Fragment Length, Prevalence, Tuberculosis, Multidrug-Resistant drug therapy, Tuberculosis, Multidrug-Resistant transmission, Young Adult, Directly Observed Therapy methods, Mycobacterium tuberculosis drug effects, Tuberculosis, Multidrug-Resistant epidemiology
- Abstract
Introduction: We aimed to estimate the prevalence and transmission of drug-resistant tuberculosis in a high-burden Brazilian setting under directly observed therapy short-course strategy., Methods: Isolates of culture-confirmed pulmonary tuberculosis patients from Guarulhos, Brazil, diagnosed in October 2007-2011 were subjected to drug susceptibility and IS6110-restriction fragment length polymorphism testing., Results: The overall resistance prevalence was 11.5% and the multi-drug resistance rate was 4.2%. Twenty-six (43.3%) of 60 drug-resistant isolates were clustered. Epidemiological relationships were identified in 11 (42.3%) patients; 30.8% of the cases were transmitted in households., Conclusions: Drug-resistant tuberculosis was relatively low and transmitted in households and the community.
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- 2020
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38. Frequency of first and second-line drug resistance-associated mutations among resistant Mycobacterium tuberculosis clinical isolates from São Paulo, Brazil.
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Matsui T, Pinhata JMW, Rabello MCDS, Brandão AP, Ferrazoli L, Leão SC, Viana-Niero C, and Oliveira RS
- Subjects
- Adolescent, Adult, Brazil, Extensively Drug-Resistant Tuberculosis microbiology, Female, Humans, Male, Microbial Sensitivity Tests, Middle Aged, Mycobacterium tuberculosis isolation & purification, Socioeconomic Factors, Young Adult, Antitubercular Agents pharmacology, Drug Resistance, Multiple, Bacterial genetics, Mutation genetics, Mycobacterium tuberculosis drug effects, Mycobacterium tuberculosis genetics, Tuberculosis, Multidrug-Resistant microbiology
- Abstract
BACKGROUND Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis, and the number of new cases of multidrug resistant TB (MDR-TB), pre extensively drug-resistant TB (pre-XDR-TB) and extensively drug-resistant TB (XDR-TB) has increased considerably worldwide. OBJECTIVES Herein, using 156 M. tuberculosis isolates from 106 patients previously classified as MDR or pre-XDR or XDR isolates, we investigated the genetic mutation profiles associated with phenotypic resistances in patients with MDR-TB, pre-XDR-TB and XDR-TB, treatment outcomes and resistance evolution. METHODS Molecular analyses were performed by partial sequencing of the rpoB, katG, gyrA, gyrB, rrs genes and analysis of the fabG-inhA promoter region. Clinical, epidemiologic and demographic data were obtained from the TB Notification database system of São Paulo (TB-WEB) and the Information System for Special Tuberculosis Treatments (SITE-TB). FINDINGS Drug resistance was attributed to previously known mutations and a novel Asp449Val mutation in gyrB was observed in four isolates from the same patient. Ten patients had more than one isolate evaluated and eight of these patients displayed resistance progression. MAIN CONCLUSIONS The present study is the first to report the frequency of mutations related to second-line drug resistance in MDR-TB, pre-XDR-TB and XDR-TB isolates. The results could lead to the improvement of available technologies for the rapid detection of drug resistant TB.
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- 2020
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39. Pulmonary nontuberculous mycobacterial infections: presumptive diagnosis based on the international microbiological criteria adopted in the state of São Paulo, Brazil, 2011-2014.
- Author
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Marques LRM, Ferrazoli L, and Chimara É
- Subjects
- Brazil epidemiology, Female, Humans, Lung microbiology, Male, Mycobacterium Infections, Nontuberculous epidemiology, Polymerase Chain Reaction, Restriction Mapping, Retrospective Studies, Mycobacterium Infections, Nontuberculous diagnosis, Mycobacterium Infections, Nontuberculous microbiology, Nontuberculous Mycobacteria isolation & purification
- Abstract
Objective: Pulmonary nontuberculous mycobacterial infections are caused by nontuberculous mycobacteria (NTM), the microbiological diagnosis of which involves the isolation and identification of the same species in at least two sputum samples, one BAL fluid sample, or one lung biopsy sample. The objective of the present study was to determine the frequency at which the various NTM species are identified among selected individuals and in potential cases of pulmonary nontuberculous mycobacterial infection., Methods: This was a retrospective analysis of the data on species isolated from respiratory specimens collected from 2,843 individuals between 2011 and 2014. Potential NTM infection cases were identified on the basis of the international microbiological criteria adopted in the state of São Paulo., Results: A total of 50 species were identified using the molecular method PCR-restriction enzyme analysis. Samples collected from 1,014 individuals were analyzed in relation to the microbiological criteria, and 448 (44.18%) had a presumptive diagnosis of pulmonary nontuberculous mycobacterial infection, the species identified most frequently being, in descending order, Mycobacterium kansasii, M. abscessus, M. intracellulare, M. avium, and M. szulgai., Conclusions: Although various NTM species were identified among the individuals studied, those presumptively identified most frequently on the basis of the microbiological criteria adopted in the state of São Paulo were the ones that are most commonly associated with pulmonary nontuberculous mycobacterial infection worldwide or in specific geographic regions.
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- 2019
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40. Speeding up the diagnosis of multidrug-resistant tuberculosis in a high-burden region with the use of a commercial line probe assay.
- Author
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Brandao AP, Pinhata JMW, Oliveira RS, Galesi VMN, Caiaffa-Filho HH, and Ferrazoli L
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Antitubercular Agents pharmacology, Child, Child, Preschool, DNA, Bacterial, Early Diagnosis, Female, Humans, Infant, Isoniazid pharmacology, Male, Microbial Sensitivity Tests, Middle Aged, Mycobacterium tuberculosis drug effects, Mycobacterium tuberculosis isolation & purification, Nucleic Acid Amplification Techniques methods, Phenotype, Prospective Studies, Reproducibility of Results, Rifampin pharmacology, Sensitivity and Specificity, Time Factors, Tuberculosis, Multidrug-Resistant microbiology, Young Adult, Molecular Diagnostic Techniques methods, Tuberculosis, Multidrug-Resistant diagnosis
- Abstract
Objective: To evaluate the rapid diagnosis of multidrug-resistant tuberculosis, by using a commercial line probe assay for rifampicin and isoniazid detection (LPA-plus), in the routine workflow of a tuberculosis reference laboratory., Methods: The LPA-plus was prospectively evaluated on 341 isolates concurrently submitted to the automated liquid drug susceptibility testing system., Results: Among 303 phenotypically valid results, none was genotypically rifampicin false-susceptible (13/13; 100% sensitivity). Two rifampicin-susceptible isolates harboured rpoB mutations (288/290; 99.3% specificity) which, however, were non-resistance-conferring mutations. LPA-plus missed three isoniazid-resistant isolates (23/26; 88.5% sensitivity) and detected all isoniazid-susceptible isolates (277/277; 100% specificity). Among the 38 (11%) invalid phenotypic results, LPA-plus identified 31 rifampicin- and isoniazid-susceptible isolates, one isoniazid-resistant and six as non-Mycobacterium tuberculosis complex., Conclusions: LPA-plus showed excellent agreement (≥91%) and accuracy (≥99%). Implementing LPA-plus in our setting can speed up the diagnosis of multidrug-resistant tuberculosis, yield a significantly higher number of valid results than phenotypic drug susceptibility testing and provide further information on the drug-resistance level.
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- 2019
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41. Growth characteristics of liquid cultures increase the reliability of presumptive identification of Mycobacterium tuberculosis complex.
- Author
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Pinhata JMW, Felippe IM, Gallo JF, Chimara E, Ferrazoli L, and de Oliveira RS
- Subjects
- Antigens, Bacterial genetics, Antigens, Bacterial metabolism, Antitubercular Agents pharmacology, Bacterial Proteins genetics, Bacterial Proteins metabolism, Chaperonin 60 genetics, Chaperonin 60 metabolism, Immunoassay, Microbial Sensitivity Tests, Mycobacterium Infections drug therapy, Mycobacterium Infections microbiology, Mycobacterium tuberculosis drug effects, Mycobacterium tuberculosis growth & development, Mycobacterium tuberculosis isolation & purification, Nontuberculous Mycobacteria drug effects, Nontuberculous Mycobacteria growth & development, Nontuberculous Mycobacteria isolation & purification, Prospective Studies, Reproducibility of Results, Sensitivity and Specificity, Species Specificity, Cell Culture Techniques methods, Mycobacterium Infections diagnosis, Mycobacterium tuberculosis classification, Nontuberculous Mycobacteria classification
- Abstract
We evaluated the microscopic and macroscopic characteristics of mycobacteria growth indicator tube (MGIT) cultures for the presumptive identification of the Mycobacterium tuberculosis complex (MTBC) and assessed the reliability of this strategy for correctly directing isolates to drug susceptibility testing (DST) or species identification. A total of 1526 isolates of mycobacteria received at the Instituto Adolfo Lutz were prospectively subjected to presumptive identification by the observation of growth characteristics along with cord formation detection via microscopy. The presumptive identification showed a sensitivity, specificity and accuracy of 98.8, 92.5 and 97.9 %, respectively. Macroscopic analysis of MTBC isolates that would have been erroneously classified as non-tuberculous mycobacteria based solely on microscopic morphology enabled us to direct them rapidly to DST, representing a substantial gain to patients. In conclusion, the growth characteristics of mycobacteria in MGIT, when considered along with cord formation, increased the reliability of the presumptive identification, which has a great impact on the laboratory budget and turnaround times.
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- 2018
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42. Use of an immunochromatographic assay for rapid identification of Mycobacterium tuberculosis complex clinical isolates in routine diagnosis.
- Author
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Watanabe Pinhata JM, Lemes RA, Simeão FCDS, Souza AR, Chimara E, and Ferrazoli L
- Abstract
Accurate identification of Mycobacterium tuberculosis complex (MTBC) isolates is essential for tuberculosis (TB) control, especially in a high-burden country such as Brazil. Conventional identification methods are laborious and time-consuming, while rapid molecular methods are expensive and require skilled personnel and appropriate physical laboratory infrastructure. Immunochromatographic assays (ICAs) have been shown to provide a rapid and reliable TB diagnosis at a low cost. The use of the SD Bioline TB Ag MPT64 ICA (MPT64 assay) for rapid identification of MTBC clinical isolates in the routine diagnosis of a large-volume reference TB laboratory was evaluated. We analysed 375 isolates on solid and liquid media concurrently with conventional phenotypic methods, the PRA- hsp 65 molecular technique and the MPT64 assay. The sensitivity, specificity and accuracy of the ICA were 97.7, 100 and 98.1 %, respectively. The MPT64 assay yielded rapid and accurate results, enabling the treatment to be initiated early and also impacting on TB control.
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- 2018
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43. Migration and tuberculosis transmission in a middle-income country: a cross-sectional study in a central area of São Paulo, Brazil.
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Pescarini JM, Simonsen V, Ferrazoli L, Rodrigues LC, Oliveira RS, Waldman EA, and Houben R
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- Adult, Brazil, Cross-Sectional Studies, Female, Humans, Male, Mycobacterium tuberculosis pathogenicity, Risk Factors, Social Class, Mycobacterium tuberculosis isolation & purification, Tuberculosis transmission
- Abstract
Background: Little is known about the impact of growing migration on the pattern of tuberculosis (TB) transmission in middle-income countries. We estimated TB recent transmission and its associated factors and investigated the presence of cross-transmission between South American migrants and Brazilians., Methods: We studied a convenient sample of cases of people with pulmonary TB in a central area of São Paulo, Brazil, diagnosed between 2013 and 2014. Cases with similar restriction fragment length polymorphism (IS6110-RFLP) patterns of their Mycobacterium tuberculosis complex isolates were grouped in clusters (recent transmission). Clusters with both Brazilian and South American migrants were considered mixed (cross-transmission). Risk factors for recent transmission were studied using logistic regression., Results: Isolates from 347 cases were included, 76.7% from Brazilians and 23.3% from South American migrants. Fifty clusters were identified, which included 43% South American migrants and 60.2% Brazilians (odds ratio = 0.50, 95% confidence interval = 0.30-0.83). Twelve cross-transmission clusters were identified, involving 24.6% of all clustered cases and 13.8% of all genotyped cases, with migrants accounting for either an equal part or fewer cases in 11/12 mixed clusters., Conclusions: Our results suggest that TB disease following recent transmission is more common among Brazilians, especially among those belonging to high-risk groups, such as drug users. Cross-transmission between migrants and Brazilians was present, but we found limited contributions from migrants to Brazilians in central areas of São Paulo and vice versa.
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- 2018
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44. Genetic Clustering of Tuberculosis in an Indigenous Community of Brazil.
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Correia Sacchi FP, Tatara MB, Camioli de Lima C, Ferreia da Silva L, Cunha EA, Simonsen V, Ferrazoli L, Gomes HM, Gonçalves Vasconcellos SE, Suffys PN, Andrews JR, and Croda J
- Subjects
- Adult, Brazil epidemiology, Brazil ethnology, Contact Tracing, Family Characteristics ethnology, Female, Humans, Male, Middle Aged, Molecular Epidemiology, Multivariate Analysis, Population Groups ethnology, Risk Factors, Surveys and Questionnaires, Tuberculosis epidemiology, Tuberculosis ethnology, Cluster Analysis, Population Groups statistics & numerical data, Tuberculosis genetics
- Abstract
We conducted a population-based study of tuberculosis (TB) from 2009 to 2015 in an indigenous community of Brazil, the largest in the country, to investigate risk factors associated with recent TB transmission. The clinical isolates of Mycobacterium tuberculosis were genotyped by IS 6110 -RFLP (restriction fragment length polymorphism) and spoligotyping analysis. Among 67 isolates typed by RFLP, 69% fell into fifteen clusters, and 91% of TB cases with shared IS 6110 -RFLP pattern were diagnosed within 2 years of another case in the cluster. Individual risk factors associated with genetic clustering were domestic overcrowding (odds ratio [OR]: 6.10; 95% confidence interval [CI]: 1.50-24.88) and low social class (OR: 3.72; 95% CI: 1.00-13.98). Most reported contacts (76%) were identified within the household of the index TB case, but most of the genetic clustering of M. tuberculosis occurred outside of household (79%). Expanded contacts investigation and prophylaxis outside of household should be considered as a priority for TB control programs in this population.
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- 2018
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45. Pseudooutbreak of rapidly growing mycobacteria due to Mycobacterium abscessus subsp bolletii in a digestive and respiratory endoscopy unit caused by the same clone as that of a countrywide outbreak.
- Author
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Guimarães T, Chimara E, do Prado GV, Ferrazoli L, Carvalho NG, Simeão FC, de Souza AR, Costa CA, Viana Niero C, Brianesi UA, di Gioia TR, Gomes LM, Spadão FS, Silva MD, de Moura EG, and Levin AS
- Subjects
- Brazil, Electrophoresis, Gel, Pulsed-Field, Hospitals, Humans, Molecular Epidemiology, Molecular Typing, Mycobacterium abscessus classification, Mycobacterium abscessus genetics, Polymerase Chain Reaction, Polymorphism, Restriction Fragment Length, Bronchoalveolar Lavage Fluid microbiology, Bronchoscopes microbiology, Bronchoscopy adverse effects, Equipment Contamination, Mycobacterium Infections, Nontuberculous microbiology, Mycobacterium abscessus isolation & purification
- Abstract
Background: The nontuberculous mycobacteria (NTM) are widely spread. In Brazil, 2,520 cases of rapidly growing mycobacteria (RGM) infections after medical procedures were reported, with 5.4% of cases related to nonsurgical invasive procedures and with an occurrence of 1 clone (BRA100) of Mycobacterium abscessus subsp bolletii., Objective: To describe a pseudooutbreak of M abscessus subsp bolletii in an endoscopy and bronchoscopy unit., Methods: The alert for a pseudooutbreak was given when 3 patients, in the same week, had a positive bronchoalveolar lavage culture for M abscessus subsp bolletii. The patients had no symptoms/signs of mycobacterial infection; thus, contamination of bronchoscopes was suspected. Samples for culturing were collected from bronchoscopes, digestive endoscopes, automated disinfection machines, and the water supply. Clinical samples were identified by polymerase chain reaction restriction-enzyme analysis (PRA) of the hsp65 gene and their pulsed-field gel electrophoresis pattern was compared with environmental samples., Results: The investigation demonstrated a contamination of bronchoscopes, digestive endoscopes, and disinfection machines. Molecular typing demonstrated that all strains belonged to the same clone (MAB01), identical to clone BRA100., Discussion: Cross-transmission due to poor disinfection as well as resistance to glutaraldehyde may play roles in the spread of MAB01 M abscessus subsp bolletii, which may have a unique resistance to the environment and adaption to human hosts. However the water supply may have played a role. Attention is needed to ensure the quality of water used to rinse disinfected equipment., (Copyright © 2016 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)
- Published
- 2016
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46. Resazurin Microtiter Assay for Clarithromycin Susceptibility Testing of Clinical Isolates of Mycobacterium abscessus Group.
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Garcia de Carvalho NF, Sato DN, Pavan FR, Ferrazoli L, and Chimara E
- Subjects
- Humans, Clarithromycin pharmacology, Microbial Sensitivity Tests methods, Mycobacterium isolation & purification, Oxazines metabolism, Xanthenes metabolism
- Abstract
Background: Mycobacterium abscessus group has heterogeneous susceptibility pattern among species. The species is most common cause of nosocomial infections. Macrolides minimum Inhibitory concentration (MIC) determination is essential for the treatment., Methods: Thirty-six strains were randomly selected for performing Resazurin Microtiter Assay (REMA) for clarithromycin testing in comparison to MIC test according to Clinical and Laboratory Standards Institute (2011) recommendation. REMA has been used for detection of drug resistance in M. tuberculosis. Extended incubation was performed to detect induced resistance., Results: Thirty microliters of resazurin (0.01%) was added after visually taking MIC reading. Resistance was observed in 11.1% of M. bolletti and 4.8% of M. abscessus strains; and induced resistance was detected in 77.8% and 95.2% of M. bolletti and M. abscessus strains, respectively. All strains of M. massiliense were susceptible. The samples presented same MIC value both by visual reading and through resazurin., Conclusion: The present study showed 100% concordance between both readings, with REMA providing easier to read and report results benefit. This change in reading can also reflect on the MIC determination and report, improving the test., (© 2016 Wiley Periodicals, Inc.)
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- 2016
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47. Performance of Four Transport and Storage Systems for Molecular Detection of Multidrug-Resistant Tuberculosis.
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Rabodoarivelo MS, Imperiale B, Andrianiavomikotroka R, Brandao A, Kumar P, Singh S, Ferrazoli L, Morcillo N, Rasolofo V, Palomino JC, Vandamme P, and Martin A
- Subjects
- Antitubercular Agents pharmacology, Argentina, Bacterial Typing Techniques, Bacteriological Techniques instrumentation, Brazil, DNA, Bacterial genetics, Ethanol, Filtration instrumentation, Genotype, Genotyping Techniques, Glass, Humans, India, Microbial Sensitivity Tests methods, Mycobacterium tuberculosis drug effects, Mycobacterium tuberculosis genetics, Paper, Polymerase Chain Reaction instrumentation, Polymerase Chain Reaction methods, Postal Service, Preservation, Biological instrumentation, Retrospective Studies, Ribotyping instrumentation, Ribotyping methods, Sensitivity and Specificity, Specimen Handling methods, Bacteriological Techniques methods, DNA, Bacterial isolation & purification, Drug Resistance, Multiple, Bacterial genetics, Molecular Diagnostic Techniques methods, Mycobacterium tuberculosis isolation & purification, Preservation, Biological methods, Specimen Handling instrumentation, Sputum microbiology, Transportation instrumentation, Tuberculosis, Multidrug-Resistant diagnosis
- Abstract
Background: Detection of drug-resistant tuberculosis is essential for the control of the disease but it is often hampered by the limitation of transport and storage of samples from remote locations to the reference laboratory. We performed a retrospective field study to evaluate the performance of four supports enabling the transport and storage of samples to be used for molecular detection of drug resistance using the GenoType MTBDRplus., Methods: Two hundred Mycobacterium tuberculosis strains were selected and spotted on slides, FTA cards, GenoCards, and in ethanol. GenoType MTBDRplus was subsequently performed with the DNA extracted from these supports. Sensitivity and specificity were calculated and compared to the results obtained by drug susceptibility testing., Results: For all supports, the overall sensitivity and specificity for detection of resistance to RIF was between 95% and 100%, and for INH between 95% and 98%., Conclusion: The four transport and storage supports showed a good sensitivity and specificity for the detection of resistance to RIF and INH in M. tuberculosis strains using the GenoType MTBDRplus. These supports can be maintained at room temperature and could represent an important alternative cost-effective method useful for rapid molecular detection of drug-resistant TB in low-resource settings.
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- 2015
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48. Rapid detection of Mycobacterium tuberculosis complex by real-time PCR in sputum samples and its use in the routine diagnosis in a reference laboratory.
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Watanabe Pinhata JM, Cergole-Novella MC, Moreira Dos Santos Carmo A, Ruivo Ferro E Silva R, Ferrazoli L, Tavares Sacchi C, and Siqueira de Oliveira R
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- Antigens, Bacterial isolation & purification, Humans, Sensitivity and Specificity, Time Factors, Tuberculosis, Pulmonary microbiology, Laboratories standards, Mycobacterium tuberculosis isolation & purification, Real-Time Polymerase Chain Reaction methods, Sputum microbiology, Tuberculosis, Pulmonary diagnosis
- Abstract
Tuberculosis (TB) is an infectious disease of global distribution, constituting a serious public health problem in Brazil. São Paulo State, located in the south-east of Brazil, notified 16,580 new TB cases in 2013. The Instituto Adolfo Lutz is a public health reference laboratory for TB diagnosis for all the State. Considering that rapid and accurate diagnosis is essential for TB control, the aim of this study was to evaluate the use of an in-house real-time (RT)-PCR assay targeting the mpt64 gene in the routine diagnosis of TB, and to compare this technique with smear microscopy and culture. From August 2012 to October 2013, 715 sputum samples from 657 patients were included in the study. Smear microscopy, culture, phenotypic and PRA-hsp65 identification of mycobacteria, and mpt64 RT-PCR were performed. With respect to confirmed TB cases (n = 62/657; 9.4%), smear microscopy had a sensitivity of 82.3%. Culture and RT-PCR showed the same sensitivity, i.e. 90.3%. Specificity was 99.7, 99.4 and 98.6% for smear microscopy, culture and RT-PCR, respectively. mpt64 RT-PCR showed high sensitivity and specificity for the detection of Mycobacterium tuberculosis complex in sputum samples. This technique can be deployed in laboratories that do not have a rapid test for TB available, enabling the performance of TB diagnosis in up to 5 h.
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- 2015
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49. Genetic diversity of the Mycobacterium tuberculosis Beijing family in Brazil and Mozambique and relation with infectivity and induction of necrosis in THP-1 cells.
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Gomes LL, Vasconcellos SE, Gomes HM, Elias AR, da Silva Rocha A, Ribeiro SC, Panunto AC, Ferrazoli L, da Silva Telles MA, Ivens de AM, Kritski AL, Mokrousov I, Manicheva OA, Lasunskaia E, and Suffys PN
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- Bacterial Proteins genetics, Bacterial Typing Techniques, Beijing, Brazil epidemiology, Cells, Cultured, DNA, Bacterial genetics, Genetic Variation, Genotype, Humans, Microbial Sensitivity Tests, Mozambique epidemiology, Mutation genetics, Mycobacterium tuberculosis pathogenicity, Necrosis microbiology, Tuberculosis epidemiology, Mycobacterium tuberculosis genetics, Tuberculosis genetics
- Abstract
Introduction: The success of the Mycobacterium tuberculosis Beijing (MtbB) lineage in different geographical regions has been attributed to high transmission, increased virulence, drug resistance and rapid adaptation to the host. In some countries of secondary MtbB dispersion like South Africa and Peru, rising prevalence of the Beijing strains is registered. However, in neighboring countries to affected regions such as Mozambique and Brazil, respectively, the prevalence of these strains is still low and this could be due to biological particularities of the circulating MtbB strains and/or differentiated host susceptibility., Objective: To characterize genetically and phenotypically MtbB strains isolated in Brazil (n = 8) and Mozambique (n = 17)., Methods: This is a descriptive study of genotypes of the MtbB isolates, determined by spoligotyping, MIRU-VNTR typing, analysis of the IS6110 copy number in the NTF region and screening for mutations in mutT2, mutT4, rpoB, katG and pks 15/1 genes. Virulence-associated properties of the studied isolates were verified in the in vitro model of infection of human THP-1 cells., Results: The genotypes defined by the 24VNTRs were distinct for all isolates included in this study and presented an HGDI of 0.997. The VNTR patterns with seven copies of MIRU26 and seven copies of QUB26, representative for the previously described MtbB genotype B0, dominant in Russia, were detected in 38.5% of the studied isolates. In addition, all isolates presented RD105 deletion and a 7 bp insertion in pks15/1 gene. Almost all tested strains belonged to the RD181 sublineage, with the exception of two strains from Mozambique of RD150 sublineage. Combined analysis of the NTF region integrity and mutations in mutT genes showed that 62.5% and 47% of isolates obtained in Brazil and Mozambique, respectively, were of the ancestral genotype. The virulence index of the ancient isolates, evaluated in the THP-1 cells, was significantly lower than that of the modern genotype group., Conclusions: These data demonstrate genotype particularities of the Beijing strains isolated in Brazil and Mozambique, two countries of low prevalence of the MtbB lineage in local Mtb populations. In contrast to the neighboring countries with high prevalence of the MtbB strains of modern sublineage, significant proportions of the isolates obtained in Brazil and Mozambique were presented by the strains of the ancient sublineage. Our data suggest that lower virulence of the ancient strains, compared with the modern strains, could be involved in the slow spread of the MtbB strains in some regions., (Copyright © 2015 Elsevier Ltd. All rights reserved.)
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- 2015
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50. Prisons as reservoir for community transmission of tuberculosis, Brazil.
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Sacchi FP, Praça RM, Tatara MB, Simonsen V, Ferrazoli L, Croda MG, Suffys PN, Ko AI, Andrews JR, and Croda J
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- Brazil epidemiology, Case-Control Studies, Female, Humans, Male, Molecular Typing, Mycobacterium tuberculosis classification, Population Surveillance, Prevalence, Risk Factors, Disease Reservoirs, Mycobacterium tuberculosis genetics, Prisons, Tuberculosis epidemiology, Tuberculosis transmission
- Abstract
We conducted a population-based study of tuberculosis (TB) cases in Dourados, Brazil, to assess the relationship between incarceration and TB in the general population. Incarceration was associated with TB in an urban population; 54% of Mycobacterium tuberculosis strains were related to strains from persons in prisons. TB control in prisons is critical for reducing disease prevalence.
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- 2015
- Full Text
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