Insights into the Therapeutic Use of Kalanchoe pinnata Supplement in Diabetes Mellitus
Bibliographic record
Abstract
Kalanchoe pinnata, commonly known as the “miracle plant” or “life plant”, is a succulent species traditionally used for various health conditions. Recent research investigations have intensified interest in this species due to its diverse repertoire of bioactive constituents, including flavonoids, alkaloids, triterpenes, and glycosides. These compounds have been associated with multiple therapeutic effects, notably antioxidant, anti-inflammatory, and antidiabetic activities. Although several studies have highlighted the positive effects of the extracts of K. pinnata on key factors contributing to the pathophysiology and complications of diabetes mellitus, a systematic overview focusing on the use of these extracts and their bioactive constituents in the management of the disease is lacking. This literature review summarizes the phytochemical composition, traditional uses, and recent scientific data supporting the antidiabetic potential of K. pinnata, with a particular focus on its effects on glycemic control, as well as inflammatory and oxidative homeostasis, toxicity, safety, and potential clinical implications. The phytochemical constituents discussed include quercetin, kaempferol, apigenin, epigallocatechin gallate (EGCG), avicularin, and bufadienolides, along with a presentation of representative structures. The review also covers the potential mechanisms of action in diabetes mellitus. The survey of available literature highlights the effects of K. pinnata on indices of diabetes mellitus, including enhancing insulin sensitivity, mitigating oxidative stress and inflammation, lowering blood glucose levels, and the potential adverse effects. These results point to the promising prospect for K. pinnata use in the management of diabetes mellitus and its associated complications, while underscoring the need for more rigorous investigations, including well-controlled clinical trials.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".