23 research outputs found
The relationship between transmission time and clustering methods in Mycobacterium tuberculosis epidemiology
YesBackground: Tracking recent transmission is a vital part of controlling widespread pathogens such as Mycobacterium tuberculosis. Multiple methods with specific performance characteristics exist for detecting recent transmission chains, usually by clustering strains based on genotype similarities. With such a large variety of methods available, informed selection of an appropriate approach for determining transmissions within a given setting/time period is difficult.
Methods: This study combines whole genome sequence (WGS) data derived from 324 isolates collected 2005–2010 in Kinshasa, Democratic Republic of Congo (DRC), a high endemic setting, with phylodynamics to unveil the timing of transmission events posited by a variety of standard genotyping methods. Clustering data based on Spoligotyping, 24-loci MIRU-VNTR typing, WGS based SNP (Single Nucleotide Polymorphism) and core genome multi locus sequence typing (cgMLST) typing were evaluated.
Findings: Our results suggest that clusters based on Spoligotyping could encompass transmission events that occurred almost 200 years prior to sampling while 24-loci-MIRU-VNTR often represented three decades of transmission. Instead, WGS based genotyping applying low SNP or cgMLST allele thresholds allows for determination of recent transmission events, e.g. in timespans of up to 10 years for a 5 SNP/allele cut-off.
Interpretation: With the rapid uptake of WGS methods in surveillance and outbreak tracking, the findings obtained in this study can guide the selection of appropriate clustering methods for uncovering relevant transmission chains within a given time-period. For high resolution cluster analyses, WGS-SNP and cgMLST based analyses have similar clustering/timing characteristics even for data obtained from a high incidence setting.ERC grant [INTERRUPTB; no. 311725] to BdJ, FG and CJM; an ERC grant to TS [PhyPD; no. 335529]; an FWO PhD fellowship to PM [grant number 1141217N]; the Leibniz Science Campus EvolLUNG for MM and SN; the German Centre for Infection Research (DZIF) for TAK, MM, CU, PB and SN; a SNF SystemsX grant (TBX) to JP and TS and a Marie Heim-Vögtlin fellowship granted to DK by the Swiss National Science Foundation. The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation - Flanders (FWO) and the Flemish Government – department EWI
Bridging the TB data gap: in silico extraction of rifampicin-resistant tuberculosis diagnostic test results from whole genome sequence data
YesBackground: Mycobacterium tuberculosis rapid diagnostic tests (RDTs) are widely
employed in routine laboratories and national surveys for detection of rifampicinresistant (RR)-TB. However, as next-generation sequencing technologies have
become more commonplace in research and surveillance programs, RDTs are being
increasingly complemented by whole genome sequencing (WGS). While comparison
between RDTs is difficult, all RDT results can be derived from WGS data. This
can facilitate continuous analysis of RR-TB burden regardless of the data generation
technology employed. By converting WGS to RDT results, we enable comparison of
data with different formats and sources particularly for low- and middle-income
high TB-burden countries that employ different diagnostic algorithms for drug
resistance surveys. This allows national TB control programs (NTPs) and
epidemiologists to utilize all available data in the setting for improved RR-TB
surveillance.
Methods: We developed the Python-based MycTB Genome to Test (MTBGT) tool
that transforms WGS-derived data into laboratory-validated results of the primary
RDTs—Xpert MTB/RIF, XpertMTB/RIF Ultra, GenoType MDRTBplus v2.0, and
GenoscholarNTM+MDRTB II. The tool was validated through RDT results of
RR-TB strains with diverse resistance patterns and geographic origins and applied on
routine-derived WGS data.
Results: The MTBGT tool correctly transformed the single nucleotide polymorphism
(SNP) data into the RDT results and generated tabulated frequencies of the RDT
probes as well as rifampicin-susceptible cases. The tool supplemented the RDT
probe reactions output with the RR-conferring mutation based on identified SNPs.
The MTBGT tool facilitated continuous analysis of RR-TB and Xpert probe reactions
from different platforms and collection periods in Rwanda.
Conclusion: Overall, the MTBGT tool allows low- and middle-income countries to
make sense of the increasingly generated WGS in light of the readily available RDT.Erasmus Mundus Joint Doctorate Fellowship grant 2016- 1346
O Programa de Ajustamento Estrutural na República da Guiné-Bissau: Uma avaliação política e Ética
Os guineenses assumiram o desenvolvimento como uma das metas a atingir e a estabilização e o ajustamento foi-lhes imposta como solução para os problemas estruturais existentes. No entanto, a forma como têm vindo a ser concebidos pelo Banco Mundial e pelo Fundo Monetário Internacional, direccionada sobretudo para a área económica, acabou por limitar o papel dos Programas de Ajustamento Estrutural (PAE) tidos como indutores do desenvolvimento, tornando-os num agregado de premissas austeras, com resultados não esperados.
As propostas do FMI e do BM, tendendo para a liberalização económica e estímulo dos mercados em detrimento da intervenção estatal, traduzem-se em medidas de redução de taxas de utilização dos serviços públicos, supressão de subsídios, redimensionamento da administração pública, cortes, congelamentos salariais e privatizações.
Os resultados destas reformas foram catastróficos, porquanto não só não melhoraram o défice orçamental, como os efeitos negativos das restrições orçamentais sobre o bem-estar, geraram um ambiente de promiscuidade social e o agravamento do sector informal como estratégia de sobrevivência
Tendo em conta o objecto em estudo, isto é, a relação de forças que encontrámos entre o relacionamento entre os actores políticos guineenses e as Instituições Financeiras Internacionais, notámos que a ausência de comportamentos éticos também influiu nos resultados. Por um lado, o BM e o FMI, perante um Estado fragilizado, apresentaram condicionalismos à obtenção de empréstimos e ajudas, por outro lado, os actores guineenses, mesmo perante este dilema, não se coibiram do exercício da corrupção, do clientelismo e do neo-patrimonialismo, como estratégia para o enriquecimento fácil.Instituto Superior de Ciências do Trabalho e da Empres
Mobility of Hard Drug Users: Patterns and Characteristics Relevant for Deconcentration of Facilities
Borderline rpoB mutations transmit at the same rate as common rpoB mutations in a tuberculosis cohort in Bangladesh
The spread of multidrug-resistant tuberculosis (MDR-TB) is a growing problem in many countries worldwide. Resistance to one of the primary first-line drugs, rifampicin, is caused by mutations in the Mycobacterium tuberculosis rpoB gene. So-called borderline rpoB mutations confer low-level resistance, in contrast to more common rpoB mutations which confer high-level resistance. While some borderline mutations show lower fitness in vitro than common mutations, their in vivo fitness is currently unknown. We used a dataset of 394 whole genome sequenced MDR-TB isolates from Bangladesh, representing around 44 % of notified MDR-TB cases over 6 years, to look at differences in transmission clustering between isolates with borderline rpoB mutations and those with common rpoB mutations. We found a relatively low percentage of transmission clustering in the dataset (34.8 %) but no difference in clustering between different types of rpoB mutations. Compensatory mutations in rpoA, rpoB, and rpoC were associated with higher levels of transmission clustering as were lineages two, three, and four relative to lineage one. Young people as well as patients with high sputum smear positive TB were more likely to be in a transmission cluster. Our findings show that although borderline rpoB mutations have lower in vitro growth potential this does not translate into lower transmission potential or in vivo fitness. Proper detection of these mutations is crucial to ensure they do not go unnoticed and spread MDR-TB within communities
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Multidrug-resistant tuberculosis control in Rwanda overcomes a successful clone that causes most disease over a quarter century
Summary background: Multidrug-resistant (MDR) tuberculosis (TB) poses an important challenge in TB management and control. Rifampicin resistance (RR) is a solid surrogate marker of MDR-TB. We investigated the RR-TB clustering rates, bacterial population dynamics to infer transmission dynamics, and the impact of changes to patient management on these dynamics over 27 years in Rwanda.
Methods: We analysed whole genome sequences of a longitudinal collection of nationwide RR-TB isolates. The collection covered three important periods: before programmatic management of MDR-TB (PMDT; 1991–2005), the early PMDT phase (2006–2013), in which rifampicin drug-susceptibility testing (DST) was offered to retreatment patients only, and the consolidated phase (2014–2018), in which all bacteriologically confirmed TB patients had rifampicin DST done mostly via Xpert MTB/RIF assay. We constructed clusters based on a 5 SNP cut-off and resistance conferring SNPs. We used Bayesian modelling for dating and population size estimations, TransPhylo to estimate the number of secondary cases infected by each patient, and multivariable logistic regression to assess predictors of being infected by the dominant clone.
Results: Of 308 baseline RR-TB isolates considered for transmission analysis, the clustering analysis grouped 259 (84.1%) isolates into 13 clusters. Within these clusters, a single dominant clone was discovered containing 213 isolates (82.2% of clustered and 69.1% of all RR-TB), which we named the “Rwanda Rifampicin-Resistant clone” (R3clone). R3clone isolates belonged to Ugandan sub-lineage 4.6.1.2 and its rifampicin and isoniazid resistance were conferred by the Ser450Leu mutation in rpoB and Ser315Thr in katG genes, respectively. All R3clone isolates had Pro481Thr, a putative compensatory mutation in the rpoC gene that likely restored its fitness. The R3clone was estimated to first arise in 1987 and its population size increased exponentially through the 1990s’, reaching maximum size (∼84%) in early 2000 s’, with a declining trend since 2014. Indeed, the highest proportion of R3clone (129/157; 82·2%, 95%CI: 75·3–87·8%) occurred between 2000 and 13, declining to 64·4% (95%CI: 55·1-73·0%) from 2014 onward. We showed that patients with R3clone detected after an unsuccessful category 2 treatment were more likely to generate secondary cases than patients with R3clone detected after an unsuccessful category 1 treatment regimen.
Conclusions: RR-TB in Rwanda is largely transmitted. Xpert MTB/RIF assay as first diagnostic test avoids unnecessary rounds of rifampicin-based TB treatment, thus preventing ongoing transmission of the dominant R3clone. As PMDT was intensified and all TB patients accessed rifampicin-resistance testing, the nationwide R3clone burden declined. To our knowledge, our findings provide the first evidence supporting the impact of universal DST on the transmission of RR-TB