Molecular epidemiology of Mycobacterium tuberculosis strains from prison populations in Santa Catarina, Southern Brazil - Archive ouverte HAL Access content directly
Journal Articles Infection, Genetics and Evolution Year : 2018

Molecular epidemiology of Mycobacterium tuberculosis strains from prison populations in Santa Catarina, Southern Brazil

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Abstract

The Tuberculosis (TB) notification rates are 5 to 81 times higher in prisons worldwide when compared to the general population. The state of Santa Catarina (SC) has few epidemiological data regarding TB in prisons. The aim of this study was to evaluate the molecular epidemiology of circulating strains in prisons of SC. The study comprised 95 clinical samples from six prisons. Among the cases included, all subjects were male, predominantly caucasians, and young adults, with low education level. The positive smear in the TB diagnosis comprised 62.0% of cases. About 50% of subjects had some condition associated with TB. The Spoligotyping results showed that the most frequent lineages were LAM (50.7%), T (22.2%) and S (11.6%). The 12-loci MIRU generated 62 different genotypes. The MSTs showed evolutionary relationships between Mycobacterium tuberculosis spoligotypes from SC and evolutionary relationships between the prison isolates and studied parameters. This first study on TB in prison units of SC highlighted the predominance of SIT216/LAM5, and SIT34/S. Interestingly, his profile was found to be different from that observed in a previous study performed with the state's general population. This data shows the need for continued surveillance of episodes of TB occurring among prison inmates in an emerging country like Brazil.
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pasteur-01986655 , version 1 (18-01-2019)

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Attribution - NonCommercial - NoDerivatives - CC BY 4.0

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Taiane Freitas Medeiros, Christiane Lourenço Nogueira, Rodrigo Ivan Prim, Mara Cristina Scheffer, Eduardo Venâncio Alves, et al.. Molecular epidemiology of Mycobacterium tuberculosis strains from prison populations in Santa Catarina, Southern Brazil. Infection, Genetics and Evolution, 2018, 58, pp.34-39. ⟨10.1016/j.meegid.2017.12.010⟩. ⟨pasteur-01986655⟩
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