ArticleJournal of clinical microbiology2010
Rapid detection of multidrug-resistant Mycobacterium tuberculosis by use of real-time PCR and high-resolution melt analysis.
Article in Journal of clinical microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Prevalence and contributing factors of drug-resistant tuberculosis (DR-TB) in iran: a systematic review.BMC infectious diseases · 2025Pooled it
- High resolution melting assay as a reliable method for diagnosing drug-resistant TB cases: a systematic review and meta-analysis.BMC infectious diseases · 2021Pooled it
- High-resolution melting curve analysis for rapid detection of rifampin resistance in Mycobacterium tuberculosis: a meta-analysis.Journal of clinical microbiology · 2013Pooled it
- An exploratory study on the application of nanopore sequencing for detecting Mycobacterium tuberculosis drug resistance in respiratory specimens.BMC pulmonary medicine · 2025Article
- Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria.Diagnostics (Basel, Switzerland) · 2023Review
- Development of DNA Bio-chip for Detection of Mutations ofIndian journal of clinical biochemistry : IJCB · 2023Article
- Genotypic Distribution and the Epidemiology of Multidrug Resistant Tuberculosis in Upper Northern Thailand.Antibiotics (Basel, Switzerland) · 2022Article
- Regional distribution of Mycobacterium tuberculosis infection and resistance to rifampicin and isoniazid as determined by high-resolution melt analysis.BMC infectious diseases · 2022Article
- Combined Locked Nucleic Acid Probes and High-Resolution Melting Curve Analysis for Detection of Rifampicin-Resistant Tuberculosis in Northern Thailand.Diagnostics (Basel, Switzerland) · 2022Article
- High-Throughput Variant Detection Using a Color-Mixing Strategy.The Journal of molecular diagnostics : JMD · 2022Article
- The Regulation of ManLAM-Related Gene Expression inInfection and drug resistance · 2022Article
- Low-Level Rifampin Resistance andJournal of clinical microbiology · 2021Article
- Rifampicin and isoniazid drug resistance among patients diagnosed with pulmonary tuberculosis in southwestern Uganda.PloS one · 2021Article
- Current state of the art in rapid diagnostics for antimicrobial resistance.Lab on a chip · 2020Review
- Light Forge: A Microfluidic DNA Melting-based Tuberculosis Test.The journal of applied laboratory medicine · 2020Article
- High-resolution melt curve analysis for rapid detection of rifampicin resistance inNew microbes and new infections · 2020Article
- Genotypic Distribution and a Potential Diagnostic Assay of Multidrug-Resistant Tuberculosis in Northern Thailand.Infection and drug resistance · 2020Article
- Development and application of affordable SNP typing approaches to genotype Mycobacterium tuberculosis complex strains in low and high burden countries.Scientific reports · 2019Article
- Genotypicdiversity of drug-resistantInternational journal of clinical and experimental pathology · 2018Article
- Molecular detection of rifampin, isoniazid, and ofloxacin resistance in Iranian isolates ofInfection and drug resistance · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current study describes the development of a unique real-time PCR assay for the detection of mutations conferring drug resistance in Mycobacterium tuberculosis. The rifampicin resistance determinant region (RRDR) of rpoB and specific regions of katG and the inhA promoter were targeted for the detection of rifampin (RIF) and isoniazid (INH) resistance, respectively. Additionally, this assay was multiplexed to discriminate Mycobacterium tuberculosis complex (MTC) strains from nontuberculous Mycobacteria (NTM) strains by targeting the IS6110 insertion element. High-resolution melting (HRM) analysis following real-time PCR was used to identify M. tuberculosis strains containing mutations at the targeted loci, and locked nucleic acid (LNA) probes were used to enhance the detection of strains containing specific single-nucleotide polymorphism (SNP) transversion mutations. This method was used to screen 252 M. tuberculosis clinical isolates, including 154 RIF-resistant strains and 174 INH-resistant strains based on the agar proportion method of drug susceptibility testing (DST). Of the 154 RIF-resistant strains, 148 were also resistant to INH and therefore classified as multidrug resistant (MDR). The assay demonstrated sensitivity and specificity of 91% and 98%, respectively, for the detection of RIF resistance and 87% and 100% for the detection of INH resistance. Overall, this assay showed a sensitivity of 85% and a specificity of 98% for the detection of MDR strains. This method provides a rapid, robust, and inexpensive way to detect the dominant mutations known to confer MDR in M. tuberculosis strains and offers several advantages over current molecular and culture-based techniques.
Indexed as
Identifiers
What OpenQuestion holds
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.