A Systematic Review of in vitro Studies Conducted on Effect of Herbal Products on Secretion of Insulin from Langerhans Islets
Bibliographic record
Abstract
PURPOSE: Diabetes mellitus is the most important health problem that its prevalence is increasing. Diabetes is characterized by defects in insulin secretion, insulin action or both. Recent studies provided evidences that loss of functional β-cell mass through apoptosis is central to the development of diabetes. The management of diabetes without any side effects is still a challenge to the medical system. Recently, there has been a special interest to herbal medicine in care and management of diabetes due to their natural origin and less side effects. The current systematic review focuses on main component of antidiabetic plants with directly effect on insulin secretion of pancreas. METHODS: All in vitro studies which assessed the potential effect of, main components, multi herbal, whole plant, or extract of the plants directly on pancreatic insulin secretion published from 2001 to November 2011 were included. Exclusion criteria were clinical trial studies that did not assess insulin secretion, and review articles, or letters to the editor. RESULTS: The majority of these studies showed that the improvement of β-cell function and insulin secretion is possible with antioxidant compounds. Suppression of oxidative stress, cytokine-induced impairment, suppression of nuclear factor κB a key regulator of endothelial activation, activation of uncoupling protein 2 (UCP2), insulin-like activity and increasing intracellular calcium, were among the most important indicated pathways. CONCLUSIONS: By considering the role of oxidative stress in pathogenesis of β-cell dysfunction, antioxidant compounds could be helpful in management of diabetes and its complications.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".