Antidiabetic properties of purified polysaccharide from<i>Hedysarum polybotrys</i>
Bibliographic record
Abstract
Hedysarum polybotrys polysaccharide (HPS) is the principal active fraction responsible for the antidiabetic properties of this species. The aim of this study was to determine the antidiabetic properties of 4 purified fractions of different molecular weight range HPSs (HPS1, HPS2, HPS3, HPS4). HPS3 was selected for examination of its hypoglycemic mechanism because of its significant hypoglycemic effect in alloxan-induced diabetic mice. The changes in blood glucose levels and oral glucose tolerance tests (OGTT) showed that hypoglycemia was more pronounced in HPS3-treated groups than in the diabetes mellitus model (DM) control group. The interleukin-6, tumor necrosis factor-alpha, leptin, and free fatty acid levels were significantly lower in the HPS3-treated groups and HPS3 + metformin (HPS3+MET) group than in the DM control group, while plasma insulin, hepatic glycogen, superoxide dismutase, and nitric oxide synthetase activity were significantly higher. Treatment with HPS3 or HPS3+MET also significantly lowered malonaldehyde levels compared with the DM control group, while it elevated the nitric oxide and total antioxidant capacity. HPS3 altered the plasma lipid levels by lowering cholesterol and triglyceride concentrations, while elevating the plasma high-density lipoprotein cholesterol level. Therefore, these results suggest that HPS3 may partly ameliorate hyperglycemia and hyperlipidemia associated with type 2 diabetes through increased insulin secretion, inhibition of lipid peroxidation, promotion of sensitivity to insulin, suppression of gluconeogenesis and reduction in the biosynthesis fatty acid, cholesterol and cell cytokines related to insulin resistance, and it could be a useful adjunct therapy to a proven first-line therapy for type 2 diabetes using metformin.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".