Quantifying low-frequency revertants in oral poliovirus vaccine using next generation sequencing
Bibliographic record
Abstract
Spontaneous reversion to neurovirulence of live attenuated oral poliovirus vaccine (OPV) serotype 3 (chiefly involving the n.472U>C mutation), must be monitored during production to ensure vaccine safety and consistency. Mutant analysis by polymerase chain reaction and restriction enzyme cleavage (MAPREC) has long been endorsed by the World Health Organization as the preferred in vitro test for this purpose; however, it requires radiolabeling, which is no longer supported by many laboratories. We evaluated the performance and suitability of next generation sequencing (NGS) as an alternative to MAPREC. The linearity of NGS was demonstrated at revertant concentrations equivalent to the study range of 0.25%-1.5%. NGS repeatability and intermediate precision were comparable across all tested samples, and NGS was highly reproducible, irrespective of sequencing platform or analysis software used. NGS was performed on OPV serotype 3 working seed lots and monovalent bulks (n=21) that were previously tested using MAPREC, and which covered the representative range of vaccine production. Percentages of 472-C revertants identified by NGS and MAPREC were comparable and highly correlated (r≥0.80), with a Pearson correlation coefficient of 0.95585 (p<0.0001). NGS demonstrated statistically equivalent performance to that of MAPREC for quantifying low-frequency OPV serotype 3 revertants, and offers a valid alternative to MAPREC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".