Metformin Increases Insulin Sensitivity and Plasma β-endorphin in Human Subjects
Bibliographic record
Abstract
Metformin has been widely used in clinical type 2 diabetes treatment and prevention. The present study was designed to explore the effect on people with a sedentary lifestyle at therapeutic doses. Twenty-two physically-inactive volunteers with normal glucose tolerance were studied. Escalating doses of metformin in low-dose (250 mg), intermediate-dose (500 mg), and high-dose (750 mg) treatment three times per day were administrated into each subject for a three-week treatment period. Fasting plasma glucose, A1C, HOMA-IR for insulin resistance, lipid profile, and plasma beta-endorphin-like immunoreactivity (BER) were measured before treatment and weekly at the end of each dosing period. Metformin significantly reduced fasting plasma glucose and HOMA-IR in healthy humans after receiving this treatment at therapeutic doses including low-dose (5 %, 17 %), intermediate-dose (6 %, 25 %) and high-dose treatment (6 %, 21 %). Plasma BER was also increased from 135.46 +/- 61.73 pg/ml to 137.52 +/- 66.11 pg/ml by low-dosing (p = 0.39), to 139.17 +/- 64.08 pg/ml by intermediate-dosing (p = 0.32), and to 149.59 +/- 63.32 pg/ml by high-dosing (p < 0.05). Also, serum cholesterol decreased significantly using metformin at therapeutic doses including low-dose (4 %), intermediate-dose (8 %) and high-dose treatment (7 %). However, metformin failed to modify levels of serum HDL-cholesterol and C-reactive protein (CRP) in healthy subjects. Also, the reduction of serum cholesterol by metformin did not correlate to the increase in insulin sensitivity. In conclusion, metformin causes a significant parallel increase in insulin sensitivity and plasma beta-endorphin level in human subjects.
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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) | 0.000 | 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) | 0.001 | 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 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".