Rapid Quantification of IS6110 Copy Number in M. tuberculosis Using Dual-Target qPCR Assay
Patel, D.; Goyani, K. H.; Vaniawala, S.; Mukhopadhyaya, P. N.
Show abstract
PCR-based methods for detecting Mycobacterium tuberculosis (M. tuberculosis) have transformed tuberculosis (TB) diagnostics by allowing for the quick and sensitive identification of the pathogens DNA. The IS6110 insertion sequence is a popular molecular target due to its high specificity to the M. tuberculosis complex. However, the variability in IS6110 copy numbers among different strains raises questions about its reliability as a sole diagnostic marker. In this research, we devised a rapid qPCR-based technique to measure IS6110 copy numbers in clinical M. tuberculosis samples, comparing them with genome copy numbers estimated using a commercial MPB64-targeted kit. A custom standard curve was created using a linear DNA fragment representing the IS6110 sequence from the H37Rv strain. Analysis of 16 positive samples from 320 screened cases showed significant variability in IS6110 content. While most strains had 15-25 copies per genome, three samples had fewer than one copy per genome, likely due to mixed-strain populations dominated by IS6110-deficient bacilli. The method proved the feasibility of accurate IS6110 quantification and highlighted the importance of regional surveillance of IS6110 prevalence to prevent false negatives in PCR diagnostics. Incorporating multiple genetic targets and using dual fluorophores (e.g., FAM and VIC) in a single-tube multiplex qPCR can improve diagnostic accuracy and workflow efficiency. The findings advocate for a more nuanced, region-specific use of IS6110 in TB molecular diagnostics and emphasize the potential for automation through simple computational tools to enhance clinical decision-making.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- High Proportion of RR-TB and mutations conferring RR outside of the RRDR of the rpoB gene detected in GeneXpert MTB/RIF assay positive pulmonary tuberculosis cases, in Addis Ababa, Ethiopia 96%
- Whole genomic sequencing as a tool for diagnosis of drug and multidrug-resistance tuberculosis in an endemic region in Mexico 96%
- Patterns of compensatory mutations in rpoA/B/C genes of multidrug resistant M. tuberculosis in Uganda 96%
Similar papers in this journal
- Development of a multiplex real-time PCR assay for BCG and validation in a clinical laboratory 96%
- Distribution, Prevalence of Non-Tuberculous Mycobacteria in Hainan Island and Antibiotic Resistance of Mycobacterium abscessus 94%
- Mutations in the ubiA gene are the major mechanism of ethambutol resistance in Mycobacterium avium 94%
Similar papers in this journal
- Optimization and validation of a quadruplex real-time PCR assay for the diagnosis of diphtheria 93%
- False-positive detection of Group B Streptococcus (GBS) in chromogenic media due to presence of Enterococcus faecalis in High Vaginal Swabs 93%
- Microcolonies: a novel morphological form of pathogenic Mycoplasma spp 92%
Similar papers in this journal
- Performance of microbiological tests for tuberculosis diagnostic according to the type of respiratory specimen: a 10-year retrospective study 96%
- Protein and Microbial Biomarkers in Sputum Discern Acute and Latent Tuberculosis in Investigation of Pastoral Ethiopian Cohort 93%
- Convergence of MCR-8.2 and chromosome-mediated resistance to colistin and tigecycline in an NDM-5-producing ST656 Klebsiella pneumoniae from a lung transplant patient 91%
Similar papers in this journal
- A highly rifampicin resistant Mycobacterium tuberculosis strain emerging in Southern Brazil 94%
- Domestic pigs experimentally infected with Mycobacterium bovis and Mycobacterium tuberculosis exhibit different disease outcomes 91%
- Comparative Genomics Shows Differences in the Electron Transport and Carbon Metabolic Pathways of Mycobacterium africanum relative to Mycobacterium tuberculosis and suggests an adaptation to low oxygen tension 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.