PCR-Based Rapid Identification System Using Bridged Nucleic Acids for Detection of Clarithromycin-Resistant Mycobacterium avium-M. intracellulare Complex Isolates
Bibliographic record
Abstract
The nontuberculous mycobacteria (NTM) cause miscellaneous disorders in humans, especially in the lungs, which present with a variety of radiological features. To date, knowledge of the pathogenic role of the Mycobacterium avium-intracellulare complex (MAC) in the human lung and the definitive criteria for initiating multidrug therapy are still lacking. However, there is little doubt that clarithromycin is the most efficacious drug among the various treatment regimens for lung NTM. In this study, with the use of a bridged nucleic acid (BNA) probe a detection system based on a real-time PCR (BNA-PCR) for the identification of the point mutations at position 2058 or 2059 in domain V of the 23S rRNA gene responsible for clarithromycin resistance was developed and has been assessed using MAC isolates from clinical samples. Out of 199 respiratory specimens, the drug susceptibility test demonstrated 12 strains resistant to clarithromycin, while the BNA-PCR showed 8 strains carrying the point mutation at position 2058 or 2059 of the 23S rRNA gene. This system revealed that there were mycobacterial strains resistant to clarithromycin which do not carry previously identified resistance genes. This paper documents a novel system for detecting clarithromycin-resistant strains and demonstrates that although these mutations are tacitly assumed to account for >90% of the reported resistant mutants, there is a significant fraction of resistant mutants that do not harbor these mutations. Therefore, unknown mechanisms affecting clarithromycin resistance remain to be elucidated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".