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Multicenter Study
. 2025 Mar;25(3):325-334.
doi: 10.1016/S1473-3099(24)00586-3. Epub 2024 Oct 29.

Evaluating culture-free targeted next-generation sequencing for diagnosing drug-resistant tuberculosis: a multicentre clinical study of two end-to-end commercial workflows

Affiliations
Multicenter Study

Evaluating culture-free targeted next-generation sequencing for diagnosing drug-resistant tuberculosis: a multicentre clinical study of two end-to-end commercial workflows

Rebecca E Colman et al. Lancet Infect Dis. 2025 Mar.

Abstract

Background: Drug-resistant tuberculosis remains a major obstacle in ending the global tuberculosis epidemic. Deployment of molecular tools for comprehensive drug resistance profiling is imperative for successful detection and characterisation of tuberculosis drug resistance. We aimed to assess the diagnostic accuracy of a new class of molecular diagnostics for drug-resistant tuberculosis.

Methods: We conducted a prospective, cross-sectional, multicentre clinical evaluation of the performance of two targeted next-generation sequencing (tNGS) assays for drug-resistant tuberculosis at reference laboratories in three countries (Georgia, India, and South Africa) to assess diagnostic accuracy and index test failure rates. Eligible participants were aged 18 years or older, with molecularly confirmed pulmonary tuberculosis, and at risk for rifampicin-resistant tuberculosis. Sensitivity and specificity for both tNGS index tests (GenoScreen Deeplex Myc-TB and Oxford Nanopore Technologies [ONT] Tuberculosis Drug Resistance Test) were calculated for rifampicin, isoniazid, fluoroquinolones (moxifloxacin, levofloxacin), second line-injectables (amikacin, kanamycin, capreomycin), pyrazinamide, bedaquiline, linezolid, clofazimine, ethambutol, and streptomycin against a composite reference standard of phenotypic drug susceptibility testing and whole-genome sequencing.

Findings: Between April 1, 2021, and June 30, 2022, 832 individuals were invited to participate in the study, of whom 720 were included in the final analysis (212, 376, and 132 participants in Georgia, India, and South Africa, respectively). Of 720 clinical sediment samples evaluated, 658 (91%) and 684 (95%) produced complete or partial results on the GenoScreen and ONT tNGS workflows, respectively, with 593 (96%) and 603 (98%) of 616 smear-positive samples producing tNGS sequence data. Both workflows had sensitivities and specificities of more than 95% for rifampicin and isoniazid, and high accuracy for fluoroquinolones (sensitivity approximately ≥94%) and second line-injectables (sensitivity 80%) compared with the composite reference standard. Importantly, these assays also detected mutations associated with resistance to critical new and repurposed drugs (bedaquiline, linezolid) not currently detectable by any other WHO-recommended rapid diagnostics on the market. We note that the current format of assays have low sensitivity (≤50%) for linezolid and more work on mutations associated with drug resistance is needed.

Interpretation: This multicentre evaluation demonstrates that culture-free tNGS can provide accurate sequencing results for detection and characterisation of drug resistance from Mycobacterium tuberculosis clinical sediment samples for timely, comprehensive profiling of drug-resistant tuberculosis.

Funding: Unitaid.

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Conflict of interest statement

Declaration of interests TCR, MS, and REC received salary support from FIND through a service contract to UC San Diego. TCR and REC received grant funding from the US National Institutes of Health to develop and evaluate a tNGS solution for drug-resistant tuberculosis (R01AI176401). TCR and REC are co-inventors on a patent associated with the processing of tuberculosis sequencing data (European Patent Application number 14840432.0 and USSN 14/912,918). Both TCR and REC have transferred all rights and present and future interest in and rights to royalties from this patent to UC San Diego and the Translational Genomics Research Institute, respectively. TCR is a co-founder, board member, and unpaid shareholder of Verus Diagnostics, a company that was founded with the intent of developing diagnostic assays. Verus Diagnostics is not pursuing any drug-resistant tuberculosis diagnostics nor any diagnostics related to the technology or approaches discussed or mentioned in this manuscript. Verus Diagnostics was not involved in any way with data collection, analysis, or publication of the results of this manuscript. TCR has not received any financial support from Verus Diagnostics. CR has received honoraria payments from Becton Dickinson and she is on the scientific advisory board for Cepheid and bioMérieux. All other authors declare no competing interests.

Figures

Figure 1:
Figure 1:. Study profile
pDST=phenotypic drug susceptibility testing. WGS=whole-genome sequencing. *Indicators of and risk factors for drug resistance were: (1) a positive rifampicin resistance result by GeneXpert MTB/RIF or GeneXpert MTB/RIF Ultra; or (2) not responding to tuberculosis treatment with positive sputum smear or culture after ≥3 months of standard tuberculosis treatment; or (3) previously diagnosed with rifampicin-resistant or multidrug-resistant tuberculosis and did not respond to tuberculosis treatment with positive sputum smear or culture after ≥3 months of a standard multidrug-resistant tuberculosis regimen; or (4) previously received >1 month of treatment for a prior tuberculosis episode; or (5) close contact with an individual with known drug-resistant tuberculosis.
Figure 2:
Figure 2:. Sequencing success by bacterial load proxies (AFB smear status, study GeneXpert semiquantitative result category, and HIV status)
Total numbers of samples in each category are indicated in parentheses on the y-axis. Blue bars indicate the number of samples for each targeted next-generation sequencing (tNGS) solution with complete resistance profiles (ie, all tNGS targets were sequenced and reported). Purple bars indicate the number of samples for each tNGS solution with partial resistance profiles (ie, some tNGS targets failed to sequence). Grey bars indicate the number of samples with no sequence data generated (ie, no tNGS results were reported). AFB=acid-fast bacilli. GS=GenoScreen Deeplex Myc-TB. ONT=Oxford Nanopore Technologies Tuberculosis Drug Resistance Test.
Figure 3:
Figure 3:. Sensitivity and specificity of GenoScreen (A) and ONT (B) targeted next-generation sequencing workflows for detection of drug resistance compared with a composite reference of MGIT phenotypic drug susceptibility testing and whole-genome sequencing
Sensitivity is shown in the forest plot diagrams, while both sensitivity and specificity are shown in the adjacent tables. Bedaquiline and clofazimine do not have a composite reference as there were no resistance-associated mutations identified in the 2021 WHO mutation catalogue; for these drugs, only MGIT phenotypic drug susceptibility testing was used as a reference. The dotted line represents 50% sensitivity. TP=true positive. FP=false positive. FN=false negative. TN=true negative. ONT=Oxford Nanopore Technologies. MGIT=Mycobacteria Growth Indicator Tube.

References

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