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Record W4200470300 · doi:10.1177/01926233211056859

Proteomic Analysis of Subchronic Furan Exposure in the Liver of Male Fischer F344 Rats

2021· article· en· W4200470300 on OpenAlexaff
Santokh Gill, Meghan Kavanagh, Christine Poirier, Ruixi Xie, Terry Koerner

Bibliographic record

VenueToxicologic Pathology · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsHealth Canada
Fundersnot available
KeywordsToxicogenomicsToxicokineticsProteolysisBiologyHistopathologyPhysiologyToxicityInternal medicineMetabolismEndocrinologyPharmacologyPathologyBiochemistryMedicineGene expressionEnzyme

Abstract

fetched live from OpenAlex

344 rats exposed to various doses by gavage to determine the NOAEL. Previous reports have outlined changes in the liver using gross necropsy examination, histopathology, clinical biochemistry, hematology, immunohistochemistry, and toxicogenomics. The data revealed that males were more sensitive than females. The focus of this study was to evaluate the toxicoproteomic changes by 2-dimensional differential in gel electrophoresis followed by mass spectrometry analysis. To compliment previous studies, protein expression changes were evaluated of male animals after 90 days of exposure to doses of 0, 0.03, 0.5, and 8.0 mg/kg bw/d. Significant statistical treatment-related changes compared to the controls identified 45 protein spots containing 38 unique proteins. Proteins identified are implicated in metabolism, redox regulation, protein folding/proteolysis as well as structural and transport proteins. At lower doses, multiple cytoprotective pathways are activated to maintain a homeostasis but ultimately the loss of protein function and impairment of several pathways could lead to adverse health effects at higher doses of furan administration.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.043
GPT teacher head0.268
Teacher spread0.225 · 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 designObservational
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

Citations4
Published2021
Admission routes1
Has abstractyes

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