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Record W4413756294 · doi:10.1021/acsomega.5c00702

Synthesis of Metformin Hydrosulfide and Its Controlled-Release of H<sub>2</sub>S

2025· article· en· W4413756294 on OpenAlexafffund
Tayebeh Amanpour, Rui Wang

Bibliographic record

VenueACS Omega · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSodium hydrosulfideMetforminChemistryInternal medicineHydrogen sulfideMedicineOrganic chemistry

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.007
GPT teacher head0.235
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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