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Record W2017387745 · doi:10.1039/c4fo00088a

Hepatoprotective effects of secoiridoid-rich extracts from Gentiana cruciata L. against carbon tetrachloride induced liver damage in rats

2014· article· en· W2017387745 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFood & Function · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and Biological Activities
Canadian institutionsInstitute for Biological Sciences
Fundersnot available
KeywordsCarbon tetrachlorideCatalaseChemistryGlutathioneAntioxidantCCL4Alkaline phosphataseTBARSPharmacologySuperoxide dismutaseBilirubinLiver injuryHepatoprotectionToxicityBiochemistryLipid peroxidationBiologyEnzymeEndocrinology

Abstract

fetched live from OpenAlex

The objective of this work was to investigate the effects of the methanol extracts of Gentiana cruciata L. aerial parts (GCA) and roots (GCR) against carbon tetrachloride-induced liver injury in rats. Pretreatment with GCA and GCR, containing sweroside, swertiamarin and gentiopicrin in high concentrations, dose-dependently and significantly decreased the levels of serum transaminases, alkaline phosphatase and total bilirubin, whereas an increase in the level of total protein was found compared with the CCl4-treated group. Moreover, oral administration of extracts significantly enhanced antioxidant enzyme activities (superoxide dismutase and catalase), increased the content of glutathione and decreased the content of TBARS. Microscopic evaluations of the liver revealed CCl4-induced lesions and related toxic manifestations that were minimal in the liver of rats pretreated with extracts at the dose of 400 mg per kg b.w. The results suggest that the use of G. cruciata extracts has a merit as a potent candidate in protecting the liver against chemical induced toxicity.

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.

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)0.000
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 score0.390
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

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 head0.015
GPT teacher head0.182
Teacher spread0.167 · 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