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Record W4252060015 · doi:10.3233/s12349-012-0099-6

Hepatoprotective effects of soy protein isolate against dimethylnitrosamine-induced acute liver injury in Sprague Dawley rat

2012· article· en· W4252060015 on OpenAlexaff
Mohammad Eftekhari, Maryam Ershad, Ahmad Oryan

Bibliographic record

VenueMediterranean Journal of Nutrition and Metabolism · 2012
Typearticle
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSoy proteinChemistryFood sciencePharmacologyMedicineTraditional medicineBiochemistry

Abstract

fetched live from OpenAlex

Diseases and injuries impose oxidative stress on different organs and systems of the body. This study was conducted to investigate the hepatoprotective effects of soy protein isolate against acute liver toxicity induced by dimethylnitrosamine (DMNA). Forty-eight Sprague Dawley rats were randomly divided into three groups. Groups A and B consumed a casein containing diet and the Group C received a soy protein isolate (SPI) containing diet for 18 days. Group A was then given an intra-peritoneal saline injection and continued on a casein diet for another 4 days before being killed. Each animal from groups B and C was given a single intra-peritoneal injection of DMNA (30 mg/kg) on the 18th day of the study. All groups continued their diets for 4 days before their sacrifice. The serum ALT decreased and albumin increased significantly in rats fed 20 % SPI containing diet (P < 0.05). Histological results showed that SPI improved DMNA-induced alteration in the liver structure. Morphological and biochemical data suggest that soy protein isolate containing diet decreased DMNA-induced liver damage.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.020
GPT teacher head0.298
Teacher spread0.277 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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