In Vitro and in Vivo Evaluation of Paralytic Shellfish Poisoning Toxin Potency and the Influence of the pH of Extraction
Bibliographic record
Abstract
Paralytic shellfish poisoning (PSP) is one of the most severe forms of food poisoning. The toxins responsible for this poisoning are natural compounds, which cause the arrest of action potential propagation by binding to voltage-gated Na+ channels. Several standards for PSP toxins are nowadays commercially available; however, there is not accessible data on the biological activity of the toxins present on this standards and their in vivo toxicity. We have developed an in vitro quantification method for PSP toxins using cultured neurons and compared the potency of the commercial PSP toxin standards in this system with their relative toxicity by mouse bioassay. The in vitro potencies of the PSP toxin standards were saxitoxin (STX) > decarbamoylsaxitoxin (dcSTX) = neosaxitoxin (NeoSTX) > gonyautoxins 1, 4 (GTX1,4) > decarbamoylneosaxitoxin (dcNeoSTX) > gonyautoxins 2, 3 (GTX2,3) > decarbamoylgonyautoxins 2, 3 (dcGTX2,3) > gonyautoxin 5 (GTX5). The data in vitro correlated well with the toxicity values obtained by mouse bioassay. Using this in vitro model we also provide the first data evaluating the potencies of PSP toxins after extraction in acidic pHs, indicating that the toxicity of the sample increases in acidic conditions. This observation correlated well with the chemical transformations undergone by contaminated samples treated in several acidic conditions as corroborated by high-performance liquid chromatography (HPLC) detection of the toxins. Therefore, a variation of 2 units in the pH during PSP extraction may lead to large discrepancies regarding sample lethality during official PSP control in different countries. The results presented here constitute the first comprehensive and revised data on the potency of PSP toxins in vitro and their in vivo toxicity.
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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 | 0.001 | 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 | 0.001 |
| 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".