Mass Spectrometry Identifies <i>Taenia solium</i> Proteins in Sera of Patients With and Without Parenchymal Neurocysticercosis
Bibliographic record
Abstract
Neurocysticercosis (NCC), a major cause of global acquired epilepsy, results from Taenia solium larval brain infection. T. solium adult worms release large numbers of infective eggs into the environment contributing to high levels of exposure in endemic areas. This study identifies T. solium proteins in the sera of individuals with and without NCC using mass spectrometry to examine exposure in endemic regions. Forty-seven patients (18-51 years), 24 parenchymal NCC (pNCC), 8 epilepsy of unknown aetiology, 7 glioma, 8 brain tuberculoma, and 7 healthy volunteers were studied. Trypsin digested sera were subject to liquid chromatography-tandem mass spectrometry and spectra of 375-1700 m/z matched against T. solium WormBase ParaSite database with MaxQuant software to identify T. solium proteins. Three hundred and nineteen T. solium proteins were identified in 87.5% of pNCC and 56.6% of non-NCC subjects. Three hundred and four proteins were exclusive to pNCC sera, seven to non-NCC sera and eight in both. Ten percent, exhibiting immune-modulatory properties, originated from the oncosphere and cyst vesicular fluid. In conclusion, in endemic regions, T. solium proteins are detected in sera of individuals with and without pNCC. The immunomodulatory nature of these proteins may influence susceptibility and course of infection.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".