Synthesis of Metformin Hydrosulfide and Its Controlled-Release of H<sub>2</sub>S
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Metformin (1,1-dimethylbiguanide) is an effective insulin sensitizer for diabetes management and an antiaging compound. Hydrogen sulfide (H 2 S) as a gasotransmitter also plays an important role in the regulation of diabetes and longevity. The interaction of these two molecules may find applications in various areas of cell biology. In this study, different preparations of hydrogen sulfide (H 2 S) were used to interact with metformin to form a metformin hydrosulfide (Metf + HS – ), including H 2 S saturated tetrahydrofuran (THF) solution. H 2 S demonstrates greater stability in tetrahydrofuran (THF) than in acetone due to THF’s moderate polarity, lower evaporation rate, and inert nature, which enhance its solubility and reduce undesired reactions. These properties facilitate controlled H 2 S release and improved reaction efficiency, making THF a more suitable solvent for H 2 S-related synthesis processes. Initially, metallic sodium was introduced into anhydrous ethanol under an inert atmosphere, and it reacted to form sodium ethoxide in situ. This freshly generated sodium ethoxide then acted as a strong base, deprotonating metformin hydrochloride to yield the free base form of metformin (1,1-dimethylbiguanide), which precipitated as a white solid after purification steps. This purified compound was subsequently converted into 1,1-dimethylbiguanide hydrosulfide (Metf + HS – ) by reacting with a H 2 S in THF, yielding a slightly odorous, pale-yellow product. H 2 S release from the Metf + HS – salt was tested in two different solutions, H 2 O and Dulbecco’s Modified Eagle Medium (DMEM), qualified and quantified with a lead acetate paper and a methylene blue spectrophotometry assay, respectively. The results show a higher release of H 2 S in DMEM than in H 2 O, likely due to the different solution buffering capacity and ionic strength. The dual functionality of Metf + HS –, combining metformin’s own therapeutic properties with the controlled release of H 2 S, makes it a novel candidate for treating different diseases like diabetes and cardiovascular disorders.
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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 | 0.000 | 0.001 |
| 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 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".