Development of a quantitative real-time PCR assay for sapovirus in children under 5-years-old in Regina Margherita Hospital of Turin, Italy
Bibliographic record
Abstract
Gastroenteritis is a common disease in children. It is characterized by diarrhea, vomiting, abdominal pain, and fever. Sapovirus (SaV) is a causative agent of acute gastroenteritis, but it causes milder illness than do rotavirus and norovirus. There is high variability in the analytical performance of quantitative PCR-based assays among clinical laboratories. This study developed a reverse transcription real-time PCR method to detect SaV in fecal specimens collected from children under 5-years-old with acute gastroenteritis. Of 137 episodes of acute gastroenteritis, 15 (10.9%) were associated with SaV genomic detection, with a median viral load of 6.6(log10) ± 7.1(log10) genomes/mg fecal specimens. There was a significant difference in detection rate between males and females (9.48% (13/15) vs. 1.46% (2/15), p = 0.0232). Among the 15 SaV-positive cases, 6 were also positive for rotavirus. Viral RNA recovery rate ranged from 46% to 77% in the manual RNAzol protocol and from 31% to 90% in the automated Maxwell protocol. We also studied whether human genomic DNA influences the sensitivity of the assay: its presence caused a decrease in PCR sensitivity. The development of a laboratory-designed real-time PCR TaqMan assay for quantitative detection of SaV and the optimization and standardization of this assay, using stools of children with acute gastroenteritis, are described.
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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 | 0.002 |
| 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 | 0.001 | 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".