Interaction of Methylglyoxal and Hydrogen Sulfide in Rat Vascular Smooth Muscle Cells
Bibliographic record
Abstract
Hydrogen sulfide (H(2)S) is a gasotransmitter with multifaceted physiological functions, including the regulation of glucose metabolism. Methylglyoxal (MG) is an intermediate of glucose metabolism and plays an important role in the pathogenesis of insulin resistance syndromes. In the present study, we investigated the effect of MG on H(2)S synthesis and the interaction between these two endogenous substances. In cultured vascular smooth muscle cells (VSMCs), MG (10, 30, and 50 microM) significantly decreased cellular H(2)S levels in a concentration-dependent manner, while H(2)S donor, NaHS (30, 60, and 90 microM), significantly decreased cellular MG levels. The expression level and activity of H(2)S-producing enzyme, cystathionine gamma-lyase (CSE), were significantly decreased by MG treatment. NaHS (30-90 microM) significantly inhibited MG (10 or 30 microM)-induced ROS production. Cellular levels of GSH, cysteine, and homocysteine were also increased by MG or NaHS treatment. Furthermore, direct reaction of H(2)S with MG in both concentration- and time-dependent manners were observed in in vitro incubations. In conclusion, MG regulates H(2)S level in VSMCs by downregulating CSE protein expression and directly reacting with H(2)S molecule. Interaction of MG with H(2)S may be one of future directions for the studies on glucose metabolism and the development of insulin resistance syndromes.
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 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".