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Molecular epidemiology of Mycobacterium tuberculosis in Brazil before the whole genome sequencing era: a literature review

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 in...

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Detalles Bibliográficos
Autores principales: Conceição, Emilyn Costa, Salvato, Richard Steiner, Gomes, Karen Machado, Guimarães, Arthur Emil dos Santos, da Conceição, Marília Lima, Souza e Guimarães, Ricardo José de Paula, Sharma, Abhinav, Furlaneto, Ismari Perini, Barcellos, Regina Bones, Bollela, Valdes Roberto, Anselmo, Lívia Maria Pala, Sisco, Maria Carolina, Niero, Cristina Viana, Ferrazoli, Lucilaine, Refrégier, Guislaine, Lourenço, Maria Cristina da Silva, Gomes, Harrison Magdinier, de Brito, Artemir Coelho, Catanho, Marcos, Duarte, Rafael Silva, Suffys, Philip Noel, Lima, Karla Valéria Batista
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto Oswaldo Cruz, Ministério da Saúde 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7976556/
https://www.ncbi.nlm.nih.gov/pubmed/33729319
http://dx.doi.org/10.1590/0074-02760200517
Descripción
Sumario: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.