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Understanding why some multidrug-resistant tuberculosis cases are not detected by rapid phenotypic and genotypic routine clinical tests is essential to improve diagnostic assays and advance toward personalized tuberculosis treatment. Here, we combine whole-genome sequencing with single-colony phenotyping to identify a multidrug-resistant strain that had infected a patient for 9 years. Our investigation revealed the failure of rapid testing and genome-based prediction tools to identify the multidrug-resistant strain. The false-negative findings were caused by uncommon rifampicin and isoniazid resistance mutations. Although whole-genome sequencing data helped to personalize treatment, the patient developed extensively drug-resistant tuberculosis, highlighting the importance of coupling new diagnostic methods with appropriate treatment regimens.
Individualized treatment, Genotype, Extensively Drug-Resistant Tuberculosis, Antitubercular Agents, Microbial Sensitivity Tests, cryptic mutations, Major Articles and Brief Reports, Bacterial Proteins, Drug Resistance, Multiple, Bacterial, Tuberculosis, Multidrug-Resistant, individualized treatment, Isoniazid, Tuberculosis, Humans, Diagnostic Errors, Whole-genome sequencing, Cryptic mutations, drug resistance, Whole Genome Sequencing, Mycobacterium tuberculosis, Sequence Analysis, DNA, whole-genome sequencing, Drug resistance, Mutation, Rifampin, Genome, Bacterial
Individualized treatment, Genotype, Extensively Drug-Resistant Tuberculosis, Antitubercular Agents, Microbial Sensitivity Tests, cryptic mutations, Major Articles and Brief Reports, Bacterial Proteins, Drug Resistance, Multiple, Bacterial, Tuberculosis, Multidrug-Resistant, individualized treatment, Isoniazid, Tuberculosis, Humans, Diagnostic Errors, Whole-genome sequencing, Cryptic mutations, drug resistance, Whole Genome Sequencing, Mycobacterium tuberculosis, Sequence Analysis, DNA, whole-genome sequencing, Drug resistance, Mutation, Rifampin, Genome, Bacterial
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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