Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs
Supporting Files
Public Domain
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Mar 2019
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File Language:
English
Details
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Alternative Title:Emerg Infect Dis
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Personal 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
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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.
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Subjects:
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Source:Emerg Infect Dis. 25(3):507-514
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Pubmed ID:30789134
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Pubmed Central ID:PMC6390753
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Document Type:
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Place as Subject:
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Location:
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Volume:25
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Issue:3
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Collection(s):
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Main Document Checksum:urn:sha256:804f6e8b799cf05dca257052b86976329e59e6ff863135e6099695371258f4c3
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Download URL:
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File Type:
Supporting Files
File Language:
English
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Emerging Infectious Diseases