Sequence-Based Optimization of a Quantitative Real-Time PCR Assay for Detection of Plasmodium ovale and Plasmodium malariae
Bibliographic record
Abstract
Although microscopic examination of Giemsa-stained blood smears remains the gold standard for the diagnosis of malaria, molecular detection using PCR is becoming increasingly popular. Due to discrepant PCR and microscopy results, we aimed to optimize our detection assays for Plasmodium malariae and Plasmodium ovale by sequencing the 18S rRNA region and developing a new primer and probe set for real-time quantitative PCR (qPCR). Clinical specimens positive for P. malariae (n = 15) or P. ovale (n = 33) underwent amplification and sequencing of the 18S rRNA region. Based on sequence discrepancies between our current primer/probe and clinical isolates, degenerate P. ovale primer and probe were developed to determine if their performance characteristics improved. The reference (gold) standard was microscopy. No 18S sequence heterogeneity was observed among the P. malariae isolates, and the sensitivity and specificity of our current P. malariae qPCR assay were both 100%. Compared to microscopy, the sensitivity and specificity of our current P. ovale qPCR assay were 72.7% and 100%, respectively. Five single nucleotide polymorphisms (SNPs) were identified in P. ovale. The sensitivity of the new P. ovale assay increased to 100% with 100% specificity. We therefore improved the performance characteristics of our P. ovale molecular detection assay through the development of a degenerate primer and probe set which accommodates 18S SNPs among the 2 subspecies of P. ovale. Given the suboptimal sensitivity of rapid diagnostic tests for non-falciparum malaria and the typically low parasitemia of P. malariae and P. ovale, a well-performing confirmatory molecular assay is imperative for clinical laboratories.
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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 | 0.006 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".