A retrospective genomic analysis of drug-resistant strains of M. tuberculosis in a high-burden setting, with an emphasis on comparative diagnostics and reactivation and reinfection status
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WOLLENBERG, Kurt R., HARRIS, Michael, GABRIELIAN, Andrei E., CIOBANU, Nelly, CHESOV, Dumitru, LONG, Alyssa, TAAFFE, Jessica E., HURT, Darrell E., ROSENTHAL, Alex, TARTAKOVSKY, Michael, KRUDU, V.. A retrospective genomic analysis of drug-resistant strains of M. tuberculosis in a high-burden setting, with an emphasis on comparative diagnostics and reactivation and reinfection status. In: BMC Infectious Diseases, 2020, nr. 1(20), p. 0. ISSN 1471-2334. DOI: https://doi.org/10.1186/s12879-019-4739-z
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BMC Infectious Diseases
Numărul 1(20) / 2020 / ISSN 1471-2334

A retrospective genomic analysis of drug-resistant strains of M. tuberculosis in a high-burden setting, with an emphasis on comparative diagnostics and reactivation and reinfection status

DOI:https://doi.org/10.1186/s12879-019-4739-z

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Wollenberg Kurt R.1, Harris Michael1, Gabrielian Andrei E.1, Ciobanu Nelly2, Chesov Dumitru34, Long Alyssa1, Taaffe Jessica E.1, Hurt Darrell E.1, Rosenthal Alex1, Tartakovsky Michael1, Krudu V.2
 
1 National Institute of Allergy and Infectious Diseases, Department of Health and Human Services, Bethesda,
2 Institute of Phtysiopneumology „Chiril Draganiuc”,
3 ”Nicolae Testemițanu” State University of Medicine and Pharmacy,
4 Research Center Borstel
 
 
Disponibil în IBN: 27 ianuarie 2020


Rezumat

Background: Recurrence of drug-resistant tuberculosis (DR-TB) after treatment occurs through relapse of the initial infection or reinfection by a new drug-resistant strain. Outbreaks of DR-TB in high burden regions present unique challenges in determining recurrence status for effective disease management and treatment. In the Republic of Moldova the burden of DR-TB is exceptionally high, with many cases presenting as recurrent. Methods: We performed a retrospective analysis of Mycobacterium tuberculosis from Moldova to better understand the genomic basis of drug resistance and its effect on the determination of recurrence status in a high DR-burden environment. To do this we analyzed genomes from 278 isolates collected from 189 patients, including 87 patients with longitudinal samples. These pathogen genomes were sequenced using Illumina technology, and SNP panels were generated for each sample for use in phylogenetic and network analysis. Discordance between genomic resistance profiles and clinical drug-resistance test results was examined in detail to assess the possibility of mixed infection. Results: There were clusters of multiple patients with 10 or fewer differences among DR-TB samples, which is evidence of person-to-person transmission of DR-TB. Analysis of longitudinally collected isolates revealed that many infections exhibited little change over time, though 35 patients demonstrated reinfection by divergent (number of differences > 10) lineages. Additionally, several same-lineage sample pairs were found to be more divergent than expected for a relapsed infection. Network analysis of the H3/4.2.1 clade found very close relationships among 61 of these samples, making differentiation of reactivation and reinfection difficult. There was discordance between genomic profile and clinical drug sensitivity test results in twelve samples, and four of these had low level (but not statistically significant) variation at DR SNPs suggesting low-level mixed infections. Conclusions: Whole-genome sequencing provided a detailed view of the genealogical structure of the DR-TB epidemic in Moldova, showing that reinfection may be more prevalent than currently recognized. We also found increased evidence of mixed infection, which could be more robustly characterized with deeper levels of genomic sequencing.

Cuvinte-cheie
Extensively-drug resistant, Moldova, Multi-drug resistant, Mycobacterium tuberculosis, Recurrent infection