Phenolic acids from Anisopus mannii modulates phosphofructokinase 1 to improve glycemic control in patients with type 2 diabetes: A double-blind, randomized, clinical trial
Bibliographic record
Abstract
Phenolic acid-rich fraction from Anisopus mannii (PhAM) contains abundance of ferulic acid, gallic acid, protocatechuic acid, and syringic acid. Among other glycolytic enzymes, in vitro, PhAM counteracted the binding of sodium orthovanadate to phosphofructokinase 1 (PFK-1), improving its activities. In a rat model of diet-induced diabetes, PhAM monotherapy reduced HbA1c by an average of 0.63 % and fasting plasma glucose by 25 mg/dl. This herb rescued β-cells from streptozotocin-mediated destruction, thereby improving glycemic control. Supported by the preclinical trial, eighty-five patients with type 2 diabetes (T2D) receiving first-line medications were enrolled in a double-blind, randomized, placebo-controlled trial with a 90 % power level. Patients were randomized into a placebo group or either of the following two treatment groups: oral administration of 12 mg or 20 mg/kg body weight of PhAM once every 48 h for 6 months. Both treatments were well tolerated. At the endpoint, more than 70 % of patients achieved a 0.5 - 2.0 decrease in HbA1c levels and a > 20 mg/dl decrease in fasting blood glucose, meeting the pre-specified primary outcome. 66 % of patients treated with 20 mg PhAM achieved the < 7 % HbA1c and HOMA-IR of > 1.0 goal. respectively. Our study shows that PhAM can supplement first-line medications to achieve target glycemic control within 6 months.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".