Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Feb 18;59(3):e02314-20.
doi: 10.1128/JCM.02314-20. Print 2021 Feb 18.

Xpert MTB/XDR: a 10-Color Reflex Assay Suitable for Point-of-Care Settings To Detect Isoniazid, Fluoroquinolone, and Second-Line-Injectable-Drug Resistance Directly from Mycobacterium tuberculosis-Positive Sputum

Affiliations

Xpert MTB/XDR: a 10-Color Reflex Assay Suitable for Point-of-Care Settings To Detect Isoniazid, Fluoroquinolone, and Second-Line-Injectable-Drug Resistance Directly from Mycobacterium tuberculosis-Positive Sputum

Yuan Cao et al. J Clin Microbiol. .

Abstract

We describe the design, development, analytical performance, and a limited clinical evaluation of the 10-color Xpert MTB/XDR assay (CE-IVD only, not for sale in the United States). This assay is intended as a reflex test to detect resistance to isoniazid (INH), fluoroquinolones (FLQ), ethionamide (ETH), and second-line injectable drugs (SLIDs) in unprocessed sputum samples and concentrated sputum sediments which are positive for Mycobacterium tuberculosis The Xpert MTB/XDR assay simultaneously amplifies eight genes and promoter regions in M. tuberculosis and analyzes melting temperatures (Tm s) using sloppy molecular beacon (SMB) probes to identify mutations associated with INH, FLQ, ETH, and SLID resistance. Results can be obtained in under 90 min using 10-color GeneXpert modules. The assay can differentiate low- versus high-level resistance to INH and FLQ as well as cross-resistance versus individual resistance to SLIDs by identifying mutation-specific Tm s or Tm patterns generated by the SMB probes. The assay has a limit of detection comparable to that of the Xpert MTB/RIF assay and successfully detected 16 clinically significant mutations in a challenge set of clinical isolate DNA. In a clinical study performed at two sites with 100 sputum and 214 clinical isolates, the assay showed a sensitivity of 94% to 100% and a specificity of 100% for all drugs except for ETH compared to that of sequencing. The sensitivity and specificity were in the same ranges as those of phenotypic drug-susceptibility testing. Used in combination with a primary tuberculosis diagnostic test, this assay should expand the capacity for detection of drug-resistant tuberculosis near the point of care.

Keywords: 10-color; GeneXpert; Mycobacterium tuberculosis; TB; XDR; drug resistance; rapid diagnostics.

PubMed Disclaimer

Figures

FIG 1
FIG 1
Limits of detection of the Xpert MTB/XDR and the Xpert MTB/RIF assays. The two assays were performed side by side, with a minimum of 20 replicates for each cell concentration. Both assays were tested at 10, 20, 40, 60, 80, 100, and 200 CFU/ml, and probit analysis was performed to calculate the LoD using R studio.
FIG 2
FIG 2
Mutation detection in mixtures of WT and mutant DNA. Melt peak heights of each target in cell mixtures containing different ratios of WT and mutant plasmids, where blue dots indicate a susceptible call and red dots indicate mutant calls based on their Tm and melt peak height. The melt peak height is determined by highest distance between the peak of the first-derivative melt curve and baseline. The presence of blue and red dots for any concentration designates detection of both a WT and a mutant Tm. In such cases, the result obtained was “resistance detected” for the corresponding drug. The QRDR mutation D94G generates a mutant Tm only with the gyrA3 probe. Each mixture was tested in triplicates, except the 10% and 75% mixtures, which had two valid replicates.
FIG 3
FIG 3
Scatterplot showing clustering of WT and mutant Tm values from samples tested in the clinical study. One hundred M. tuberculosis-positive frozen sputum samples and 214 clinical isolates for all Xpert MTB/XDR targets were tested and plotted using ggplot in R studio. To prevent overplotting, a degree of jitter was introduced. All green dots are WT Tm, while brown, purple, blue, and pink are mutant Tm values.

References

    1. World Health Organization. 2019. Global tuberculosis report 2019. World Health Organization, Geneva, Switzerland.
    1. Dookie N, Rambaran S, Padayatchi N, Mahomed S, Naidoo K. 2018. Evolution of drug resistance in Mycobacterium tuberculosis: a review on the molecular determinants of resistance and implications for personalized care. J Antimicrob Chemother 73:1138–1151. doi:10.1093/jac/dkx506. - DOI - PMC - PubMed
    1. Georghiou SB, Schumacher SG, Rodwell TC, Colman RE, Miotto P, Gilpin C, Ismail N, Rodrigues C, Warren R, Weyer K, Zignol M, Arafah S, Cirillo DM, Denkinger CM. 2019. Guidance for studies evaluating the accuracy of rapid tuberculosis drug-susceptibility tests. J Infect Dis 220:S126–S135. doi:10.1093/infdis/jiz106. - DOI - PubMed
    1. Boehme CC, Nabeta P, Hillemann D, Nicol MP, Shenai S, Krapp F, Allen J, Tahirli R, Blakemore R, Rustomjee R, Milovic A, Jones M, O'Brien SM, Persing DH, Ruesch-Gerdes S, Gotuzzo E, Rodrigues C, Alland D, Perkins MD. 2010. Rapid molecular detection of tuberculosis and rifampin resistance. N Engl J Med 363:1005–1015. doi:10.1056/NEJMoa0907847. - DOI - PMC - PubMed
    1. Dorman SE, Schumacher SG, Alland D, Nabeta P, Armstrong DT, King B, Hall SL, Chakravorty S, Cirillo DM, Tukvadze N, Bablishvili N, Stevens W, Scott L, Rodrigues C, Kazi MI, Joloba M, Nakiyingi L, Nicol MP, Ghebrekristos Y, Anyango I, Murithi W, Dietze R, Lyrio Peres R, Skrahina A, Auchynka V, Chopra KK, Hanif M, Liu X, Yuan X, Boehme CC, Ellner JJ, Denkinger CM. 2018. Xpert MTB/RIF Ultra for detection of Mycobacterium tuberculosis and rifampicin resistance: a prospective multicentre diagnostic accuracy study. Lancet Infect Dis 18:76–84. doi:10.1016/S1473-3099(17)30691-6. - DOI - PMC - PubMed

Publication types