ArticleEpidemiology and infection2022
Whole-genome sequencing of
Article in Epidemiology and infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
24 citing papers in PubMed, 37 citations in OpenAlex.
- Linking metagenomic insight to cultivable microbes: isolation of a vitamin BBMC microbiology · 2026Article
- Whole-genome sequencing reveals lineage-associated drug resistance and enables machine learning-based prediction inFrontiers in microbiology · 2026Article
- Fluoroquinolone resistance and mutation profiles inFrontiers in public health · 2026Article
- Artificial Intelligence in the Diagnosis and Management of Pulmonary Tuberculosis: A Review of Current Applications and Future Perspectives.Therapeutics and clinical risk management · 2026Review
- Review
- An explainable artificial intelligence framework reveals mutations associated with drug resistance inBiosafety and health · 2025Article
- In Vitro Antimicrobial Activity of Contezolid AgainstMicroorganisms · 2025Article
- Advancing against drug-resistant tuberculosis: an extensive review, novel strategies and patent landscape.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Global epidemiology of Mycobacterium tuberculosis lineage 4 insights from Ecuadorian genomic data.Scientific reports · 2025Article
- Decoding EcuadorianBiomedicines · 2025Article
- Drug resistance profile ofFrontiers in microbiology · 2025Article
- New insight in molecular detection of Mycobacterium tuberculosis.AMB Express · 2024Review
- Identification of novel single nucleotide variants in the drug resistance mechanism of Mycobacterium tuberculosis isolates by whole-genome analysis.BMC genomics · 2024Article
- Discordance Between Phenotypic and WGS-Based Drug Susceptibility Testing Results for Some Anti-Tuberculosis Drugs: A Snapshot Study of PairedInfection and drug resistance · 2024Article
- Impacts of MDR/XDR-TB on the global tuberculosis epidemic: Challenges and opportunities.Current research in microbial sciences · 2024Review
- Rapid Diagnosis of Drug-Resistant Tuberculosis-Opportunities and Challenges.Pathogens (Basel, Switzerland) · 2023Review
- Pediatric Drug-Resistant Tuberculosis: The Current and Future Prospects for Management and Prevention.Pathogens (Basel, Switzerland) · 2023Review
- Resistance patterns and transmission of mono- and polyresistant TB: clinical impact of WGS.JAC-antimicrobial resistance · 2023Article
- Whole-Genome Sequencing ofMicroorganisms · 2023Article
- Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whole-genome sequencing (WGS) has shown tremendous potential in rapid diagnosis of drug-resistant tuberculosis (TB). In the current study, we performed WGS on drug-resistant Mycobacterium tuberculosis isolates obtained from Shanghai (n = 137) and Russia (n = 78). We aimed to characterise the underlying and high-frequency novel drug-resistance-conferring mutations, and also create valuable combinations of resistance mutations with high predictive sensitivity to predict multidrug- and extensively drug-resistant tuberculosis (MDR/XDR-TB) phenotype using a bootstrap method. Most strains belonged to L2.2, L4.2, L4.4, L4.5 and L4.8 lineages. We found that WGS could predict 82.07% of phenotypically drug-resistant domestic strains. The prediction sensitivity for rifampicin (RIF), isoniazid (INH), ethambutol (EMB), streptomycin (STR), ofloxacin (OFL), amikacin (AMK) and capreomycin (CAP) was 79.71%, 86.30%, 76.47%, 88.37%, 83.33%, 70.00% and 70.00%, respectively. The mutation combination with the highest sensitivity for MDR prediction was rpoB S450L + rpoB H445A/P + katG S315T + inhA I21T + inhA S94A, with a sensitivity of 92.17% (0.8615, 0.9646), and the mutation combination with highest sensitivity for XDR prediction was rpoB S450L + katG S315T + gyrA D94G + rrs A1401G, with a sensitivity of 92.86% (0.8158, 0.9796). The molecular information presented here will be of particular value for the rapid clinical detection of MDR- and XDR-TB isolates through laboratory diagnosis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.