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Record W2886648237 · doi:10.1139/cjpp-2017-0650

Metformin, sitagliptin, and liraglutide modulate serum retinol-binding protein-4 level and adipocytokine production in type 2 diabetes mellitus rat model

2018· article· en· W2886648237 on OpenAlexvenueno aff
Noha A.T. Abbas, Amal El. Salem

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsnot available
Fundersnot available
KeywordsSitagliptinLiraglutideMetforminInternal medicineEndocrinologyMedicineInsulin resistanceStreptozotocinAdipokineDiabetes mellitusType 2 diabetesSitagliptin PhosphateInsulin

Abstract

fetched live from OpenAlex

Many adipocytokines correlate with obesity and insulin resistance. We examined the effects of metformin, sitagliptin, and liraglutide in diabetic rats. Group 1: control normal (CN) rats received oral saline daily. Group 2: diabetic non-treated (DNT) rats were injected with streptozotocin (STZ) to get diabetic then after 72 h received oral saline daily. Group 3: rats were injected with STZ then after 72 h were treated with metformin (200 mg/kg) orally. Group 4: rats were injected with STZ then after 72 h received sitagliptin 6 mg/kg orally twice daily. Group 5: rats were injected with STZ then after 72 h were treated with liraglutide at a dose of 0.3 mg/kg every 12 h subcutaneous injection. After 8 weeks, body mass, fasting blood glucose, adipocytokines, and lipid profile were assessed. From the results, we concluded that the 3 drugs improved blood glucose and insulin resistance with correction of adipocytokines serum levels; however, the liraglutide-treated group was the only group that showed significant body mass reduction.

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)0.000
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 score0.005
Threshold uncertainty score0.589

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 studies0.0000.001
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 head0.017
GPT teacher head0.252
Teacher spread0.236 · 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

Citations13
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Physiology and PharmacologySame topicRetinoids in leukemia and cellular processesFrench-language works237,207