Dataset Information

Tuberculosis-spoligo-rifampin-isoniazid typing: an all-in-one assay technique for surveillance and control of multidrug-resistant tuberculosis on Luminex devices.

ABSTRACT: As a follow-up of the "spoligoriftyping" development, we present here an extension of this technique which includes the detection of isoniazid resistance-associated mutations in a new 59-plex assay, i.e., tuberculosis-spoligo-rifampin-isoniazid typing (TB-SPRINT), running on microbead-based multiplexed systems. This assay improves the synergy between clinical microbiology and epidemiology by providing (i) mutation-based prediction of drug resistance profiles for patient treatment and (ii) genotyping data for tuberculosis (TB) surveillance. This third-generation microbead-based high-throughput assay for TB runs on the Luminex 200 system and on the recently launched MagPix system (Luminex, Austin, TX). Spoligotyping patterns obtained by the TB-SPRINT method were 100% (n = 85 isolates; 3,655/3,655 spoligotype data points) concordant with those obtained by microbead-based and membrane-based spoligotyping. Genetic drug susceptibility typing provided by the TB-SPRINT method was 100% concordant with resistance locus sequencing (n = 162 for rpoB gene sequencing and n = 76 for katG and inhA sequencing). Considering phenotypic drug susceptibility testing (DST) as the reference method, the sensitivity and specificity of TB-SPRINT regarding Mycobacterium tuberculosis complex (n = 162 isolates) rifampin resistance were both 100%, and those for isoniazid resistance were 90.4% (95% confidence interval, 85 to 95%) and 100%, respectively. Used routinely in national TB reference and specialized laboratories, the TB-SPRINT assay should simultaneously improve personalized medicine and epidemiological surveillance of multidrug-resistant (MDR) TB. This assay is expected to play an emerging role in public health in countries with heavy burdens of MDR TB and/or HIV/TB coinfection. Application of this assay directly to biological samples, as well as development for extensively drug-resistant (XDR) TB detection by inclusion of second-line antituberculosis drug-associated mutations, is under development. With bioinformatical methods and data mining to reduce the number of targets to the most informative ones, locally adapted formats of this technique can easily be developed everywhere.

SUBMITTER: Gomgnimbou MK

PROVIDER: S-EPMC3889729 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

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Tuberculosis-spoligo-rifampin-isoniazid typing: an all-in-one assay technique for surveillance and control of multidrug-resistant tuberculosis on Luminex devices.

Gomgnimbou Michel Kiréopori MK Hernández-Neuta Iván I Panaiotov Stefan S Bachiyska Elizabeta E Palomino Juan Carlos JC Martin Anandi A del Portillo Patricia P Refregier Guislaine G Sola Christophe C

Journal of clinical microbiology 20130821 11

As a follow-up of the "spoligoriftyping" development, we present here an extension of this technique which includes the detection of isoniazid resistance-associated mutations in a new 59-plex assay, i.e., tuberculosis-spoligo-rifampin-isoniazid typing (TB-SPRINT), running on microbead-based multiplexed systems. This assay improves the synergy between clinical microbiology and epidemiology by providing (i) mutation-based prediction of drug resistance profiles for patient treatment and (ii) genoty ...[more]

PMID: 23966495

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Project description:Drug resistant tuberculosis is increasing world-wide. Resistance against isoniazid (INH), rifampicin (RIF), or both (multi-drug resistant TB, MDR-TB) is of particular concern, since INH and RIF form part of the standard regimen for TB disease. While it is known that suboptimal treatment can lead to resistance, it remains unclear how host immune responses and antibiotic dynamics within granulomas (sites of infection) affect emergence and selection of drug-resistant bacteria. We take a systems pharmacology approach to explore resistance dynamics within granulomas. We integrate spatio-temporal host immunity, INH and RIF dynamics, and bacterial dynamics (including fitness costs and compensatory mutations) in a computational framework. We simulate resistance emergence in the absence of treatment, as well as resistance selection during INH and/or RIF treatment. There are four main findings. First, in the absence of treatment, the percentage of granulomas containing resistant bacteria mirrors the non-monotonic bacterial dynamics within granulomas. Second, drug-resistant bacteria are less frequently found in non-replicating states in caseum, compared to drug-sensitive bacteria. Third, due to a steeper dose response curve and faster plasma clearance of INH compared to RIF, INH-resistant bacteria have a stronger influence on treatment outcomes than RIF-resistant bacteria. Finally, under combination therapy with INH and RIF, few MDR bacteria are able to significantly affect treatment outcomes. Overall, our approach allows drug-specific prediction of drug resistance emergence and selection in the complex granuloma context. Since our predictions are based on pre-clinical data, our approach can be implemented relatively early in the treatment development process, thereby enabling pro-active rather than reactive responses to emerging drug resistance for new drugs. Furthermore, this quantitative and drug-specific approach can help identify drug-specific properties that influence resistance and use this information to design treatment regimens that minimize resistance selection and expand the useful life-span of new antibiotics.

Dataset Information

Tuberculosis-spoligo-rifampin-isoniazid typing: an all-in-one assay technique for surveillance and control of multidrug-resistant tuberculosis on Luminex devices.

Publications

Tuberculosis-spoligo-rifampin-isoniazid typing: an all-in-one assay technique for surveillance and control of multidrug-resistant tuberculosis on Luminex devices.

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