Synthesis and anti-melanogenic effects of lipoic acid-polyethylene glycol ester
Bibliographic record
Abstract
To develop a new potent anti-melanogenic agent, we have conjugated lipoic acid (LA) to poly (ethylene) glycol (PEG) of molecular weight 2000 and examined the effects on inhibition of tyrosinase activity and melanin synthesis in B16F10 melanoma cells. The water-soluble LA-PEG 2000 was synthesized from LA and methylated PEG by an esterification reaction in the presence of 1-ethyl-3-(3-dimethylaminopropyl)-carbodiimide. Synthetic LA-PEG 2000 was confirmed by IR and (1)H-NMR spectroscopy. The new conjugate is a highly water-soluble molecule, which has lower cell cytotoxicity than LA. Treatment with LA-PEG 2000 significantly suppressed the biosynthesis of melanin by up to 63% at 0.25 mM and reduced tyrosinase activity by up to 80% at 0.50 mM in B16F10 melanoma cells. Furthermore, Western blot and RT-PCR studies indicated that treatment with LA-PEG 2000 decreased the level of tyrosinase, which is a melanogenic enzyme. Taken together, these results suggest that LA-PEG 2000 may inhibit melanin biosynthesis by down-regulating levels and expression of tyrosinase activity. Therefore, LA-PEG 2000 can be used effectively as a new agent to inhibit melanogenesis, with lower cytotoxicity than LA (parent molecule) in B16F10 melanoma cells.
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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".