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Methods to Improve Confidence in the Accuracy of Molecular Testing for Multidrug-Resistant Tuberculosis

  • Denise M. O’Sullivan
  • , Gerwyn M. Jones
  • , Manca Zolnir-Dovc
  • , Richard Phillips
  • , Rejoice Arthur
  • , Bariki Mtafya
  • , Daniel Adon Mapamba
  • , Daniela Maria Cirillo
  • , Ewa Augustynowicz-Kopeć
  • , Mei Mei Ho
  • , Belinda Dagg
  • , Sven O. Friedrich
  • , Francesca Colavita
  • , Antonella Vulcano
  • , Prince Asare
  • , Dorothy Yeboah-Manu
  • , Timothy D. McHugh
  • , Jim F. Huggett
  • LGC Ltd.
  • Faculty of Health and Medical Sciences
  • University Clinic of Respiratory and Allergic Diseases
  • Kumasi Centre for Collaborative Research in Tropical Medicine (KCCR)
  • National Institute for Medical Research Tanzania
  • IRCCS San Raffaele Scientific Institute
  • National Institute of Tuberculosis and Lung Diseases
  • Medicines and Healthcare products Regulatory Agency
  • TASK
  • IRCCS Istituto per le Malattie Infettive Lazzaro Spallanzani - Roma
  • University of Ghana
  • University College London

Research output: Contribution to journalArticlepeer-review

Abstract

Background Diagnosis of tuberculosis (TB) and multidrug-resistant tuberculosis (MDR-TB) is increasingly performed using molecular tools that detect Mycobacterium tuberculosis DNA. To ensure accurate and reliable results from the molecular tests, appropriate quality assessment is required. This involves implementing reference measurement procedures (RMPs) to characterize material standards that are representative of the clinical specimen. These material standards should address drug resistance and mixtures of drug-resistant and -susceptible bacteria. However, currently these RMPs and materials standards do not exist, which can hamper the accuracy and precision of routine clinical testing. To address this, we applied digital PCR (dPCR) as a RMP to MDR-TB material standards. Methods Four standards were prepared and characterized using dPCR to quantify drug-resistant and -susceptible genotypes. We investigated the performance of existing molecular tests via an interlaboratory study including 9 laboratories from Africa and Europe, assessing 3 methods for MDR-TB detection and 2 methods for TB-only detection. Results All tests correctly identified M. tuberculosis, and 2 out of 3 tests identified the associated drug resistance (one test failed to identify drug resistance in one of the materials). Generally, discrepancies occurred with the more challenging samples bearing lower concentrations and mixed genotypes. Conclusions The approaches used in this study will enhance the quality assessment of MDR-TB and can be applied to afford test manufacturers and clinical laboratories more accurate results to guide test development, selection, and regulation. Such an approach can improve confidence in MDR-TB testing, enabling physicians to guide treatment, potentially leading to better patient outcomes.

Original languageEnglish
Pages (from-to)390-397
Number of pages8
JournalClinical Chemistry
Volume72
Issue number3
DOIs
Publication statusPublished - 1 Mar 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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