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Record W7057336622

Investigations into the toxicology and pharmacology of spirolides, a novel group of shellfish toxins

2001· article· en· W7057336622 on OpenAlexvenueaboutno aff

Bibliographic record

VenueNPARC · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsDiarrhetic shellfish poisoningMuscarinic acetylcholine receptorToxicityMarine toxinToxinMode of actionIntraperitoneal injectionBiological activity
DOInot available

Abstract

fetched live from OpenAlex

The mammalian toxicity of spirolides, a novel group of macrocyclic imines, was first revealed in routine monitoring for diarrhetic shelltïsh poisoning (DSP) toxins from shellfïsh aquaculture sites in Nova Scotia, Canada. Spirolides elicit a novel and highly potent toxic response in mice after intraperitoneal injections. In toxicological studies, the oral and intraperitoneal toxicities of spirolides in mice were determined to be approximately 1 mg kg-’ and 40 μg kg“, respectively. The pharmacological effects of spirolides were also characterized by subjecting mice to various drugs (e.g., atropine, physostigmine, propanolol and epinephrine), followed by a challenge with a spirolide- rich extract of A. ostenfeldii cultures or purified spirolides. Some therapeutants were capable of enhancing survivability, whereas others produced faster death times. After administration of “antidotes” to these therapeutants, and the observationof reversa1 or enhancement of spirolide effects, at least one mode of action was indicated. Spirolides appear to affect the muscarinic acetylcholine receptors in mammalian systems. The potential implications for human health, if any, from consuming spirolide-contaminated shelltïsh have not yet been determined.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.284
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations35
Published2001
Admission routes2
Has abstractyes

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