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The Journal of Infectious Diseases
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The Journal of Infectious Diseases
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Cryptic Resistance Mutations Associated With Misdiagnoses of Multidrug-Resistant Tuberculosis

Authors: Cancino-Muñoz, Irving; Moreno-Molina, Miguel; Furió, Victoria; Goig, Galo A; Torres-Puente, Manuela; Chiner-Oms, Álvaro; Villamayor, Luis M; +3 Authors

Cryptic Resistance Mutations Associated With Misdiagnoses of Multidrug-Resistant Tuberculosis

Abstract

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.

Keywords

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

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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