Identification of<i>Dirofilaria immitis</i>Proteins Recognized by Antibodies from Infected Dogs
Bibliographic record
Abstract
The identification of excreted-secreted (ES) proteins of filarial nematodes as potential diagnostic reagents is an important requirement for the development of methods to determine level of infection in the host, especially for human filariae. Dirofilaria immitis, the canine heartworm, is a widespread and important veterinary pathogen and is a useful model for filarial parasites of humans. An analysis of proteins released from adult D. immitis (the secretome) in culture is available. We sought to identify D. immitis ES proteins found in vivo to validate the in vitro secretome and to investigate them as potential diagnostic reagents. Cultures of D. immitis adults obtained from infected dogs were maintained for 72 hr with daily changes of media. Proteins were concentrated from spent media by standard methods and were passed through Protein-A columns containing purified IgG antibodies from heartworm-infected dogs. Following extensive washing, heartworm proteins recognized by the antibodies were eluted from these columns and submitted for analysis by tandem mass spectrometry (MS/MS). As a comparison, somatic proteins from adult D. immitis female parasites and microfilaria were also processed and analyzed by the same protocol. Six, 9, and 12 proteins were identified by MS/MS in the ES, adult female, and microfilaria samples, respectively. The identification of the most abundant parasite proteins present in the serum of infected hosts offers a rational approach to the development of new diagnostic assays that may be applicable across the Filarioidea.
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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 | 0.000 | 0.001 |
| 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".