Malarial Antibody Detection with an Engineered Yeast Agglutination Assay
Bibliographic record
Abstract
Malaria, a disease caused by the Plasmodium parasite carried by Anopheles mosquitoes, is commonly diagnosed by microscopy of peripheral blood smears and with rapid diagnostic tests. Both methods show limited detection of low parasitemia that may maintain transmission and hinder malaria elimination. We have developed a novel agglutination assay in which modified Saccharomyces cerevisiae cells act as antigen-displaying bead-like particles to capture malaria antibodies. The Epidermal Growth Factor-1 like domain (EGF1) of the Plasmodium falciparum merozoite surface protein-1 (PfMSP-1 19 ) was displayed on the yeast surface and shown to be capable of binding antimalaria antibodies. Mixed with a second yeast strain displaying the Z domain of Protein A from Staphylococcus aureus and allowed to settle in a round-bottomed well, the yeast produce a visually distinctive agglutination test result: a tight “button” at a low level of malarial antibodies, and a diffuse “sheet” when higher antibody levels are present. Positive agglutination results were observed in malaria-positive human serum to a serum dilution of 1:100 to 1:125. Since the yeast cells are inexpensive to produce, the test may be amenable to local production in regions seeking malaria surveillance information to guide their elimination programs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".