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Record W1992981934 · doi:10.1002/ptr.2796

Hypoglycemic effects of malonyl‐ginsenosides extracted from roots of <i>Panax ginseng</i> on streptozotocin‐induced diabetic mice

2009· article· en· W1992981934 on OpenAlexaff
Zhi Liu, Lijuan Wang, Xiang Li, Jiangning Hu, Yun Chen, Chang‐Chun Ruan, Guangzhi Sun

Bibliographic record

VenuePhytotherapy Research · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGinseng Biological Effects and Applications
Canadian institutionsAgriculture and Agri-Food Canada
FundersJilin Agricultural UniversityJilin University
KeywordsGinsengStreptozotocinDiabetes mellitusAraliaceaeMedicineTraditional medicineGinsenosidePharmacologyInternal medicineEndocrinologyChemistry

Abstract

fetched live from OpenAlex

Hypoglycemic effects of malonyl-ginsenosides (MGR), extracted from roots of Panax ginseng, were examined in streptozotocin- (STZ-) induced diabetic mice. Animals received daily intravenous injections of MGR in doses of 30, 60, 120 mg/kg. At a dose of 120 mg/kg, MGR reduced the fasting blood glucose level of diabetic mice by 77.8% (76.7 +/- 8.5 mg/dl versus 345.2 +/- 35.8 mg/dl, P < 0.01). The same dose also showed a marked improvement in glucose tolerance of 80% (75.3 +/- 10.8 mg/dl versus 375.6 +/- 43.3 mg/dl, P < 0.01) in diabetic mice after four days. The alkali hydrolysis productions of MGR, ginseng panaxadiol (PDS), malonic acid and a mixture of malonic acid with PDS, showed no effects on fasting blood glucose levels indicated the hypoglycemic effect of MGR relied on their unique esterified chemical structures. The findings from this study suggest that MGR extracted from Panax ginseng may be prescribed as adjunct to drug treatment for controlling diabetes mellitus.

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 score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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 head0.031
GPT teacher head0.343
Teacher spread0.312 · 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

Citations40
Published2009
Admission routes1
Has abstractyes

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