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Record W4378699800 · doi:10.1016/j.jff.2023.105579

Hypoglycemic effect of polysaccharides of Dendrobium officinale compound on type 2 diabetic mice

2023· article· en· W4378699800 on OpenAlexaff
Chen Li, Yunwei Wang, Zijia Huang, Yi Zhang, Jiao Li, Qing Zhang, Benjamin K. Simpson, Jingxue Wang

Bibliographic record

VenueJournal of Functional Foods · 2023
Typearticle
Languageen
FieldMedicine
TopicBiological and pharmacological studies of plants
Canadian institutionsMcGill University
FundersShanxi Provincial Key Research and Development ProjectNatural Science Foundation of Shanxi Province
KeywordsGLUT2Insulin resistanceTriglycerideType 2 diabetesAntioxidantChemistryDendrobiumStreptozotocinEndocrinologyPolysaccharideInternal medicineDiabetes mellitusLactobacillusInsulinCholesterolBiologyFood scienceBiochemistryMedicineGlucose transporterBotany

Abstract

fetched live from OpenAlex

This study investigated the hypoglycemic effect of polysaccharides of Dendrobium officinale compound (DOCP) on streptozotocin induced type 2 diabetic mice. Compared with the model group, the fasting blood glucose value of DOCP (800 mg/kg) at day 35 of the study significantly decreased (P < 0.05). Meanwhile, DOCP (800 mg/kg) significantly increased the serum insulin content and reduced the insulin resistance in type 2 diabetic mice. Furthermore, DOCP reduced the serum total cholesterol, triglyceride and LDL-C concentrations, increased the antioxidant capability, and improved liver and pancreas damage in type 2 diabetic mice. DOCP increased the diversity of intestinal flora composition, and the abundance of beneficial bacteria such as Lactobacillus and Bifidobacteriaceae. DOCP (800 mg/kg) induced up-regulation expression of genes such as Glut2, Gck, Pklr, Insr, Pdx-1 and Ins1, but elicited down-regulation of Caspase-3. These results indicate that DOCP achieves antidiabetic and hypolipidemic effects in type 2 diabetic mice.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.050
GPT teacher head0.313
Teacher spread0.263 · 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

Citations20
Published2023
Admission routes1
Has abstractyes

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