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    Date Issued2020 (1)Author
    Balagadde, Frederick K. (1)
    Kunota, Tafara T. R. (1)Mackenzie, Jared S. (1)Mandizvo, Tawanda (1)Mbano, Ian M. (1)View MoreUMass Chan AffiliationSchool of Medicine (1)Document TypeJournal Article (1)KeywordBacterial Infections and Mycoses (1)Diagnosis (1)Drug resistance (1)Health Services Administration (1)Health Services Research (1)View MoreJournalThe journal of applied laboratory medicine (1)

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    Light Forge: A Microfluidic DNA Melting-based Tuberculosis Test

    Mbano, Ian M.; Mandizvo, Tawanda; Rogich, Jerome; Kunota, Tafara T. R.; Mackenzie, Jared S.; Pillay, Manormoney; Balagadde, Frederick K. (2020-05-01)
    BACKGROUND: There is a well-documented lack of rapid, low-cost tuberculosis (TB) drug resistance diagnostics in low-income settings across the globe. It is these areas that are plagued with a disproportionately high disease burden and in greatest need of these diagnostics. METHODS: In this study, we compared the performance of Light Forge, a microfluidic high-resolution melting analysis (HRMA) prototype for rapid low-cost detection of TB drug resistance with a commercial HRMA device, a predictive "nearest-neighbor" thermodynamic model, DNA sequencing, and phenotypic drug susceptibility testing (DST). The initial development and assessment of the Light Forge assay was performed with 7 phenotypically drug resistant strains of Mycobacterium tuberculosis (M.tb) that had their rpoB gene subsequently sequenced to confirm resistance to Rifampin. These isolates of M.tb were then compared against a drug-susceptible standard, H37Rv. Seven strains of M.tb were isolated from clinical specimens and individually analyzed to characterize the unique melting profile of each strain. RESULTS: Light Forge was able to detect drug-resistance linked mutations with 100% concordance to the sequencing, phenotypic DST and the "nearest neighbor" thermodynamic model. Researchers were then blinded to the resistance profile of the seven M.tb strains. In this experiment, Light Forge correctly classified 7 out of 9 strains as either drug resistant or drug susceptible. CONCLUSIONS: Light Forge represents a promising prototype for a fast, low-cost diagnostic alternative for detection of drug resistant strains of TB in resource constrained settings.
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