Spelling suggestions: "subject:"rifampicinresistant tuberculosis"" "subject:"rifampicinresistance tuberculosis""
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Bridging the TB data gap: in silico extraction of rifampicin-resistant tuberculosis diagnostic test results from whole genome sequence dataNg, K.C.S., Ngabonziza, J.C.S., Lempens, P., de Jong, B.C., van Leth, F., Meehan, Conor J. 05 November 2019 (has links)
Yes / Background: 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.
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Potential application of digitally linked tuberculosis diagnostics for real-time surveillance of drug-resistant tuberculosis transmission: Validation and analysis of test resultsNg, K.C., Meehan, Conor J., Torrea, G., Goeminne, L., Diels, M., Rigouts, L., de Jong, B.C., André, E. 24 September 2019 (has links)
Yes / Background: Tuberculosis (TB) is the highest-mortality infectious disease in the world and the main cause of death related to antimicrobial resistance, yet its surveillance is still paper-based. Rifampicin-resistant TB (RR-TB) is an urgent public health crisis. The World Health Organization has, since 2010, endorsed a series of rapid diagnostic tests (RDTs) that enable rapid detection of drug-resistant strains and produce large volumes of data. In parallel, most high-burden countries have adopted connectivity solutions that allow linking of diagnostics, real-time capture, and shared repository of these test results. However, these connected diagnostics and readily available test results are not used to their full capacity, as we have yet to capitalize on fully understanding the relationship between test results and specific rpoB mutations to elucidate its potential application to real-time surveillance.
Objective: We aimed to validate and analyze RDT data in detail, and propose the potential use of connected diagnostics and associated test results for real-time evaluation of RR-TB transmission.
Methods: We selected 107 RR-TB strains harboring 34 unique rpoB mutations, including 30 within the rifampicin resistance–determining region (RRDR), from the Belgian Coordinated Collections of Microorganisms, Antwerp, Belgium. We subjected these strains to Xpert MTB/RIF, GenoType MTBDRplus v2.0, and Genoscholar NTM + MDRTB II, the results of which were validated against the strains’ available rpoB gene sequences. We determined the reproducibility of the results, analyzed and visualized the probe reactions, and proposed these for potential use in evaluating transmission.
Results: The RDT probe reactions detected most RRDR mutations tested, although we found a few critical discrepancies between observed results and manufacturers’ claims. Based on published frequencies of probe reactions and RRDR mutations, we found specific probe reactions with high potential use in transmission studies: Xpert MTB/RIF probes A, Bdelayed, C, and Edelayed; Genotype MTBDRplus v2.0 WT2, WT5, and WT6; and Genoscholar NTM + MDRTB II S1 and S3. Inspection of probe reactions of disputed mutations may potentially resolve discordance between genotypic and phenotypic test results.
Conclusions: We propose a novel approach for potential real-time detection of RR-TB transmission through fully using digitally linked TB diagnostics and shared repository of test results. To our knowledge, this is the first pragmatic and scalable work in response to the consensus of world-renowned TB experts in 2016 on the potential of diagnostic connectivity to accelerate efforts to eliminate TB. This is evidenced by the ability of our proposed approach to facilitate comparison of probe reactions between different RDTs used in the same setting. Integrating this proposed approach as a plug-in module to a connectivity platform will increase usefulness of connected TB diagnostics for RR-TB outbreak detection through real-time investigation of suspected RR-TB transmission cases based on epidemiologic linking. / KCN was supported by Erasmus Mundus Joint Doctorate Fellowship grant 2016-1346, and BCdJ, LR, and CJM were supported by European Research Council-INTERRUPTB starting grant 311725.
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