In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis

Author:

Brankin Alice,Seifert Marva,Georghiou Sophia B.,Walker Timothy M.,Uplekar Swapna,Suresh Anita,Colman Rebecca E.

Abstract

AbstractUniversal drug susceptibility testing (DST) for tuberculosis is a major goal of the END TB strategy. PCR-based molecular diagnostic tests have been instrumental in increasing DST globally and several assays have now been endorsed by the World Health Organization (WHO) for use in the diagnosis of drug resistance. These endorsed assays, however, each interrogate a limited number of mutations associated with resistance, potentially limiting their sensitivity compared to sequencing-based methods. We applied an in silico method to compare the sensitivity and specificity of WHO-endorsed molecular based diagnostics to the mutation set identified by the WHO mutations catalogue using phenotypic DST as the reference. We found that, in silico, the mutation sets used by probe-based molecular diagnostic tests to identify rifampicin, isoniazid, pyrazinamide, levofloxacin, moxifloxacin, amikacin, capreomycin and kanamycin resistance produced similar sensitivities and specificities to the WHO mutation catalogue. PCR-based diagnostic tests were most sensitive for drugs where mechanisms of resistance are well established and localised to small genetic regions or a few prevalent mutations. Approaches using sequencing technologies can provide advantages for drugs where our knowledge of resistance is limited, or where complex resistance signatures exist.

Funder

Unitaid

FIND, the Global Alliance for Diagnostics

Nuffield Department of Clinical Medicine

Oxford Medical Research Council Doctoral Training Partnership

Wellcome Trust

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference76 articles.

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5. Coll, F. et al. Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis. Nat. Genet. 50, 307–316. https://doi.org/10.1038/s41588-017-0029-0 (2018).

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