Development of a Sensitive Loop-Mediated Isothermal Amplification Assay That Provides Specimen-to-Result Diagnosis of Respiratory Syncytial Virus Infection in 30 Minutes
Bibliographic record
Abstract
Rapid isothermal amplification methods have recently been introduced, and some of these methods offer significant advantages over PCR. The objective of this study was to develop a rapid and sensitive multiplex loop-mediated isothermal amplification (M-LAMP) assay for the detection of respiratory syncytial virus subgroups A and B (RSV A and B). We designed six primers each for the matrix gene of RSV A and the polymerase gene of RSV B and developed an M-LAMP assay by using a commercially available master mix and a real-time fluorometer (Genie II; Optigene, United Kingdom) that displays real-time amplification, time to positivity, and amplicon annealing temperature (Tm). The M-LAMP was evaluated against PCR by testing 275 nasopharyngeal (NP) specimens. The final optimized M-LAMP assay had a mean amplification time of 14.2 min (compared with 90 to 120 min for PCR) and had an analytical sensitivity of 1 genome equivalent (ge) for both RSV A and B. Using PCR as a comparator, M-LAMP had a sensitivity of 100% (81/81) and specificity of 100% (194/194). We also evaluated a 3- to 10-min specimen processing method involving vortexing with glass beads and heating to 98°C in M-swab medium (Copan Italia, Brescia, Italy) and found that this rapid processing method allowed detection of 37/41 (90.2%) of positives when we used extracted nucleic acid. In summary, the M-LAMP assay had excellent sensitivity and specificity for detecting RSV A and B in NP specimens and, when coupled with a rapid specimen preparation method, could provide a specimen-to-result diagnosis time of 30 min.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".