ArticleJournal of biomedical science2021
Integrative utility of long read sequencing-based whole genome analysis and phenotypic assay on differentiating isoniazid-resistant signature of Mycobacterium tuberculosis.
Article in Journal of biomedical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic accuracy of nanopore sequencing for detecting Mycobacterium tuberculosis and drug-resistant strains: a systematic review and meta-analysis.Scientific reports · 2025Pooled it
- Clinical application of chest CT image screening combined with nanopore targeted sequencing in improving the diagnosis rate of pulmonary tuberculosis patients.Frontiers in public health · 2026Observational
- Application of Metagenomic and Targeted Next-Generation Sequencing in Diagnosis of Pulmonary Tuberculosis in Bronchoalveolar Lavage Fluid.Infection and drug resistance · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundWith the advancement of next generation sequencing technologies (NGS), whole-genome sequencing (WGS) has been deployed to a wide range of clinical scenarios. Rapid and accurate classification of drug-resistant Mycobacterium tuberculosis (MTB) would be advantageous in reducing the amplification of additional drug resistance and disease transmission.
methodsIn this study, a long-read sequencing approach was subjected to the whole-genome sequencing of clinical MTB clones with susceptibility test profiles, including isoniazid (INH) susceptible clones (n = 10) and INH resistant clones (n = 42) isolated from clinical specimens. Non-synonymous variants within the katG or inhA gene associated with INH resistance was identified using Nanopore sequencing coupled with a corresponding analytical workflow.
resultsIn total, 54 nucleotide variants within the katG gene and 39 variants within the inhA gene associated with INH resistance were identified. Consistency among the results of genotypic profiles, susceptibility test, and minimal inhibitory concentration, the high-INH resistance signature was estimated using the area under the receiver operating characteristic curve with the existence of Ser315Thr (AUC = 0.822) or Thr579Asn (AUC = 0.875).
conclusionsTaken together, we curated lists of coding variants associated with differential INH resistance using Nanopore sequencing, which may constitute an emerging platform for rapid and accurate identification of drug-resistant MTB clones.
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