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Record W7110472744

Effects of Environmental Conditions on Thiamine Levels and Health of Brook Trout

2025· article· W7110472744 on OpenAlexaboutno aff

Bibliographic record

VenueThe Open Repository - Binghamton (Binghamton University) · 2025
Typearticle
Language
FieldMedicine
TopicAlcoholism and Thiamine Deficiency
Canadian institutionsnot available
Fundersnot available
KeywordsThiamineTroutTransketolaseThiamine deficiencyEnzymeFish <Actinopterygii>Cofactor
DOInot available

Abstract

fetched live from OpenAlex

Brook trout (Salvelinus fontinalis), a predatory freshwater species, often consume prey fish with elevated levels of thiaminase. Previous studies have shown that thiaminase degrades thiamine (Vitamin B1), an essential cofactor in metabolic pathways including the pentose-phosphate pathway, citric acid cycle, and glycolysis. The deficiency of thiamine can impair RNA and DNA synthesis due to reduced NADPH production. This study investigated the impact of environmental factors on the thiamine levels in the diets of these brook trouts. Six brook trout strains from New York State and Canada, living in temperatures of 4°C and 19°C, and some under hypoxic conditions, were examined. A transketolase activity assay was developed and applied to fish liver samples for thiamine analysis. The findings are significant, as the assay paves the way for further studies on cellular redox states, oxidative stress, and the potential adverse effects of regulated enzymes on fish health and development.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.018
GPT teacher head0.272
Teacher spread0.254 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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