ArticleJournal of clinical microbiology2012
Real-time PCR and high-resolution melt analysis for rapid detection of Mycobacterium leprae drug resistance mutations and strain types.
Article in Journal of clinical microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis 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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Drug Resistance (Dapsone, Rifampicin, Ofloxacin) and Resistance-Related Gene Mutation Features in Leprosy Patients: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2022Pooled it
- Rapid Identification of Drug-Resistant Strains of Mycobacterium leprae through qPCR High-Resolution Melt Analysis (HRMA): A High-Throughput and Effective Screening Method.Indian dermatology online journal · 2026Article
- Design and optimization of a multiplex real-time PCR assay for detection of Hepatitis C virus (HCV), Human immunodeficiency virus-1 (HIV-1) and Human hepegivirus-1 (HHpgV-1).Gastroenterology and hepatology from bed to bench · 2025Article
- Heterozygous Single-Nucleotide Polymorphism Genotypes at Heat Shock Protein 70 Gene Potentially Influence Thermo-Tolerance Among Four Zebu Breeds of Nigeria.Frontiers in genetics · 2021Article
- Improving Quantitative Power in Digital PCR through Digital High-Resolution Melting.Journal of clinical microbiology · 2020Article
- Antimicrobial resistance in leprosy: results of the first prospective open survey conducted by a WHO surveillance network for the period 2009-15.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2018Article
- Mutations ofEthiopian journal of health sciences · 2018Article
- qPCR-High resolution melt analysis for drug susceptibility testing of Mycobacterium leprae directly from clinical specimens of leprosy patients.PLoS neglected tropical diseases · 2017Article
- Screening of WT1 mutations in exon 8 and 9 in children with steroid resistant nephrotic syndrome from a single centre and establishment of a rapid screening assay using high-resolution melting analysis in a clinical setting.BMC medical genetics · 2017Article
- A report of rifampin-resistant leprosy from northern and eastern India: identification and in silico analysis of molecular interactions.Medical microbiology and immunology · 2015Article
- Comparison of two assays for molecular determination of rifampin resistance in clinical samples from patients with Buruli ulcer disease.Journal of clinical microbiology · 2014Article
- Mycobacterium leprae in Colombia described by SNP7614 in gyrA, two minisatellites and geography.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2013Article
- Sensitivity of different DNA extraction methods and PCR to detect resistance in patients with leprosy stratified by the bacilloscopic index.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious DiseasesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Drug resistance surveillance and strain typing of Mycobacterium leprae are necessary to investigate ongoing transmission of leprosy in regions of endemicity. To enable wider implementation of these molecular analyses, novel real-time PCR-high-resolution melt (RT-PCR-HRM) assays without allele-specific primers or probes and post-PCR sample handling were developed. For the detection of mutations within drug resistance-determining regions (DRDRs) of folP1, rpoB, and gyrA, targets for dapsone, rifampin, and fluoroquinolones, real-time PCR-HRM assays were developed. Wild-type and drug-resistant mouse footpad-derived strains that included three folP1, two rpoB, and one gyrA mutation types in a reference panel were tested. RT-PCR-HRM correctly distinguished the wild type from the mutant strains. In addition, RT-PCR-HRM analyses aided in recognizing samples with mixed or minor alleles and also a mislabeled sample. When tested in 121 sequence-characterized clinical strains, HRM identified all the folP1 mutants representing two mutation types, including one not within the reference panel. The false positives (<5%) could be attributed to low DNA concentration or PCR inhibition. A second set of RT-PCR-HRM assays for identification of three previously reported single nucleotide polymorphisms (SNPs) that have been used for strain typing were developed and validated in 22 reference and 25 clinical strains. Real-time PCR-HRM is a sensitive, simple, rapid, and high-throughput tool for routine screening known DRDR mutants in new and relapsed cases, SNP typing, and detection of minor mutant alleles in the wild-type background at lower costs than current methods and with the potential for quality control in leprosy investigations.
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.