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Record W2023792987 · doi:10.1577/h04-035.1

Molecular Size, pH, Temperature Stability, and Ontogeny of Inhibitor(s) of Infectious Pancreatic Necrosis Virus (IPNV) in Normal Rainbow Trout Serum

2005· article· en· W2023792987 on OpenAlexaff
Kyoung C. Park, Paul W. Reno

Bibliographic record

VenueJournal of Aquatic Animal Health · 2005
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAquaculture disease management and microbiota
Canadian institutionsInstitute for Marine Biosciences
Fundersnot available
KeywordsRainbow troutBiologyOntogenyInfectious pancreatic necrosis virusZoologyNecrosisVirusVirologyFish <Actinopterygii>EndocrinologyFisheryGenetics

Abstract

fetched live from OpenAlex

Abstract In this study, we investigated the characteristics of inhibitor(s) of infectious pancreatic necrosis virus (IPNV) found in the serum of normal rainbow trout Oncorhynchus mykiss (RTS). The molecular size, stability to pH and temperature, and ontogeny of the inhibitor in trout were studied, and the effect of cations (Ca2+ and Mg2+) on the activity of the inhibitor was tested. The strongest inhibition of virus was obtained at approximately 150 kDa as measured by ultracentrifugation, sieve gel chromatography, and ultrafiltration. The inhibition decreased significantly when RTS was dialyzed or filtered in the absence of divalent cations, but replacement of at least one cation restored activity. Activity was stable at temperatures ranging from 30°C to 50°C, but 55°C completely destroyed the inhibitory capacity of RTS. The inhibitory activity of RTS was not reduced between pH 4 and 10 but was diminished below pH 4 and above pH 10; such activity was not abrogated by proteases. Additionally, pretreatment of RTS with the polysaccharide mannan significantly reduced inhibition. Thus, the serum inhibitor(s) had many characteristics of a lectin. To determine the ontogeny of inhibition, serum samples were taken from normal rainbow trout, beginning at 2 weeks posthatch; consistent inhibition was not obtained until the rainbow trout had reached the age of 23 weeks posthatch.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.279
Threshold uncertainty score0.727

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.008
GPT teacher head0.246
Teacher spread0.239 · 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 teacher head, 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

Citations3
Published2005
Admission routes1
Has abstractyes

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