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In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis.
Brankin, Alice; Seifert, Marva; Georghiou, Sophia B; Walker, Timothy M; Uplekar, Swapna; Suresh, Anita; Colman, Rebecca E.
Afiliação
  • Brankin A; Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Seifert M; FIND, the Global Alliance for Diagnostics, Geneva, Switzerland.
  • Georghiou SB; FIND, the Global Alliance for Diagnostics, Geneva, Switzerland.
  • Walker TM; Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Uplekar S; FIND, the Global Alliance for Diagnostics, Geneva, Switzerland.
  • Suresh A; Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Colman RE; Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Sci Rep ; 12(1): 17741, 2022 10 22.
Article em En | MEDLINE | ID: mdl-36273016
ABSTRACT
Universal 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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tuberculose Resistente a Múltiplos Medicamentos / Mycobacterium tuberculosis Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tuberculose Resistente a Múltiplos Medicamentos / Mycobacterium tuberculosis Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido
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