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Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs
Systematic molecular/genomic epidemiology studies for tuberculosis surveillance cannot be implemented in many countries. We selected Panama as a model for an alternative strategy. Mycobacterial interspersed repetitive unit–variable-number tandem-repeat (MIRU-VNTR) analysis revealed a high proportion...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390753/ https://www.ncbi.nlm.nih.gov/pubmed/30789134 http://dx.doi.org/10.3201/eid2503.181593 |
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author | Domínguez, Juan Acosta, Fermín Pérez-Lago, Laura Sambrano, Dilcia Batista, Victoria De La Guardia, Carolina Abascal, Estefanía Chiner-Oms, Álvaro Comas, Iñaki González, Prudencio Bravo, Jaime Del Cid, Pedro Rosas, Samantha Muñoz, Patricia Goodridge, Amador García de Viedma, Darío |
author_facet | Domínguez, Juan Acosta, Fermín Pérez-Lago, Laura Sambrano, Dilcia Batista, Victoria De La Guardia, Carolina Abascal, Estefanía Chiner-Oms, Álvaro Comas, Iñaki González, Prudencio Bravo, Jaime Del Cid, Pedro Rosas, Samantha Muñoz, Patricia Goodridge, Amador García de Viedma, Darío |
author_sort | Domínguez, Juan |
collection | PubMed |
description | Systematic molecular/genomic epidemiology studies for tuberculosis surveillance cannot be implemented in many countries. We selected Panama as a model for an alternative strategy. Mycobacterial interspersed repetitive unit–variable-number tandem-repeat (MIRU-VNTR) analysis revealed a high proportion (50%) of Mycobacterium tuberculosis isolates included in 6 clusters (A–F) in 2 provinces (Panama and Colon). Cluster A corresponded to the Beijing sublineage. Whole-genome sequencing (WGS) differentiated clusters due to active recent transmission, with low single-nucleotide polymorphism–based diversity (cluster C), from clusters involving long-term prevalent strains with higher diversity (clusters A, B). Prospective application in Panama of 3 tailored strain–specific PCRs targeting marker single-nucleotide polymorphisms identified from WGS data revealed that 31.4% of incident cases involved strains A–C and that the Beijing strain was highly represented and restricted mainly to Colon. Rational integration of MIRU-VNTR, WGS, and tailored strain–specific PCRs could be a new model for tuberculosis surveillance in countries without molecular/genomic epidemiology programs. |
format | Online Article Text |
id | pubmed-6390753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-63907532019-03-06 Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs Domínguez, Juan Acosta, Fermín Pérez-Lago, Laura Sambrano, Dilcia Batista, Victoria De La Guardia, Carolina Abascal, Estefanía Chiner-Oms, Álvaro Comas, Iñaki González, Prudencio Bravo, Jaime Del Cid, Pedro Rosas, Samantha Muñoz, Patricia Goodridge, Amador García de Viedma, Darío Emerg Infect Dis Research Systematic molecular/genomic epidemiology studies for tuberculosis surveillance cannot be implemented in many countries. We selected Panama as a model for an alternative strategy. Mycobacterial interspersed repetitive unit–variable-number tandem-repeat (MIRU-VNTR) analysis revealed a high proportion (50%) of Mycobacterium tuberculosis isolates included in 6 clusters (A–F) in 2 provinces (Panama and Colon). Cluster A corresponded to the Beijing sublineage. Whole-genome sequencing (WGS) differentiated clusters due to active recent transmission, with low single-nucleotide polymorphism–based diversity (cluster C), from clusters involving long-term prevalent strains with higher diversity (clusters A, B). Prospective application in Panama of 3 tailored strain–specific PCRs targeting marker single-nucleotide polymorphisms identified from WGS data revealed that 31.4% of incident cases involved strains A–C and that the Beijing strain was highly represented and restricted mainly to Colon. Rational integration of MIRU-VNTR, WGS, and tailored strain–specific PCRs could be a new model for tuberculosis surveillance in countries without molecular/genomic epidemiology programs. Centers for Disease Control and Prevention 2019-03 /pmc/articles/PMC6390753/ /pubmed/30789134 http://dx.doi.org/10.3201/eid2503.181593 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Domínguez, Juan Acosta, Fermín Pérez-Lago, Laura Sambrano, Dilcia Batista, Victoria De La Guardia, Carolina Abascal, Estefanía Chiner-Oms, Álvaro Comas, Iñaki González, Prudencio Bravo, Jaime Del Cid, Pedro Rosas, Samantha Muñoz, Patricia Goodridge, Amador García de Viedma, Darío Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs |
title | Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs |
title_full | Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs |
title_fullStr | Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs |
title_full_unstemmed | Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs |
title_short | Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs |
title_sort | simplified model to survey tuberculosis transmission in countries without systematic molecular epidemiology programs |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390753/ https://www.ncbi.nlm.nih.gov/pubmed/30789134 http://dx.doi.org/10.3201/eid2503.181593 |
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