Hydro-Alcoholic Root Extracts of Ziziphus abyssinica is Effective in Diabetes Nephropathy and Diabetic Wound Healing
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Bibliographic record
Abstract
Background: This study evaluated the potential of Ziziphus abysinnica root extract in managing hyperglycaemia in type 2 diabetes mellitus (T2DM), diabetic wound healing and diabetic nephropathy.
 Methodology: Blood glucose concentrations were measured daily for 14 days after daily administrations of either Ziziphus abysinnica (30, 100, and 300 mg/kg, p.o), metformin (300 mg/kg, p.o) or normal saline as negative control before diabetes induction using a single dose of Streptozotocin (60 mg/kg, i.p) and nicotinamide (120 mg/kg, i.p). Histopathological analysis was performed on the harvested kidneys following administration with Ziziphus abysinnica in diabetic rats. The diabetic wound healing potentials of the plant was also evaluated in streptozotocin-induced diabetic rats by treating them with 15%w/w ZAE ointment.
 Results: Generally, the percentage of blood glucose levels analysed following administration of drugs were found to be dose-dependent. The highest dose of ZAE (300 mg/kg) had a higher percentage reduction in blood glucose concentration when compared to metformin (300 mg/kg). The lowest dose (30 mg/kg) of ZAE administered attenuated STZ induced pathological damage and showed moderate to maximal improvement to the kidney nephrons. In contrast, the 100 mg/kg and 300 mg/kg dose ZAE demonstrated minimal pathological changes to the kidney architecture.
 Conclusion: Overall, our study demonstrated the antidiabetic potential of Ziziphus abysinnica, suggesting its possible therapeutic benefit in diabetic wound healing and diabetic nephropathy.
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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 | 0.001 | 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) | 0.000 | 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 it