Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs
| Autor: | Juan Domínguez, Fermín Acosta, Laura Pérez-Lago, Dilcia Sambrano, Victoria Batista, Carolina De La Guardia, Estefanía Abascal, Álvaro Chiner-Oms, Iñaki Comas, Prudencio González, Jaime Bravo, Pedro Del Cid, Samantha Rosas, Patricia Muñoz, Amador Goodridge, Darío García de Viedma |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Emerging Infectious Diseases, Vol 25, Iss 3, Pp 507-514 (2019) |
| Druh dokumentu: | article |
| ISSN: | 1080-6040 1080-6059 |
| DOI: | 10.3201/eid2503.181593 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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