PCR Detection of Mixed and Zoonoses Malaria Using Plasmodium spp Dynein Light Chain (dlc-tctex) Gene
Bibliographic record
Abstract
Novel gene targets are needed in accurate diagnosis of malaria. Previous studies show that the dynein light chains (dlc) in Plasmodium are uniquely conserved within the species, possibly due to their role as the cargo adptor moiety. This study aimed at the development of PCR assay for the detection of Plasmodium based on the (dlc-Tctex) as a genus and species-specific tool in malaria diagnosis. Multiple primers were designed based on Plasmodium spp dlc(Tctex) genes. The primers were applied on PCR to detect malaria on clinical samples and on laboratory maintained isolates of P. falciparum and P. vivax for human infecting species and P. knowlesi and P. cynomolgi for zoonoses infection involving primates. The amplified PCR fragments were gene cleaned and sequenced. BLASTn e-values output from the raw nucleotide queries supports that the genes are uniquely conserved. Species-specific primers amplified P. falciparum infections with no cross-reactivity to P. vivax, P. knowlesi or P. cynomolgi species. In this assay only 11 out of the 30 microscope positive malaria positive clinical blood samples were positive for PCR detection of P. falciparum infection. Primers designed for Plasmodium genus amplified the target band in all clinical malaria samples but also had another specific band amplification. This preliminary data demonstrate that a species-specific dlc(Tctex) PCR assay can be used for detection of P. falciparum and optimized genus primers can be applied to differentiate mixed malaria infections.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".