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Implementation of targeted next-generation sequencing for the diagnosis of drug-resistant tuberculosis in low-resource settings: a programmatic model, challenges, and initial outcomes

Article scientifique 2023 Anglais

Résumé

Targeted next-generation sequencing (tNGS) from clinical specimens has the potential to become a comprehensive tool for routine drug-resistance (DR) prediction of Mycobacterium tuberculosis complex strains (MTBC), the causative agent of tuberculosis (TB). However, TB mainly affects low- and middle-income countries, in which the implementation of new technologies have specific needs and challenges. We propose a model for programmatic implementation of tNGS in settings with no or low previous sequencing capacity/experience. We highlight the major challenges and considerations for a successful implementation. This model has been applied to build NGS capacity in Namibia, an upper middle-income country located in Southern Africa and suffering from a high-burden of TB and TB-HIV, and we describe herein the outcomes of this process.

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Araujo, L., Cabibbe, A., Mhuulu, L., Ruswa, N., Dreyer, V., Diergaardt, A., Günther, G., Claassens, M., Gerlach, C., Utpatel, C., Cirillo, D., Nepolo, E., Niemann, S. (2023). Implementation of targeted next-generation sequencing for the diagnosis of drug-resistant tuberculosis in low-resource settings: a programmatic model, challenges, and initial outcomes. https://doi.org/10.3389/fpubh.2023.1204064

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Auteur(s)

Leonardo de Araujo Andrea Maurizio Cabibbe Lusia Mhuulu Nunurai Ruswa Viola Dreyer Azaria Diergaardt Gunar Günther Mareli Claassens Christiane Gerlach Christian Utpatel Daniela María Cirillo Emmanuel Nepolo Stefan Niemann

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