A Mixture of Nicotinamide Mononucleotide, Decursin, and <scp>l</scp> -Cysteine Lowered Senescence-Associated Markers In Vitro and Was Effective Against 2,4-Dinitrochlorobenzene-Induced Atopic Dermatitis In Vivo: An Application of Network Pharmacology
Bibliographic record
Abstract
Skin aging, accelerated by oxidative stress from environmental factors, results in the breakdown of collagen and elastin, causing visible signs like wrinkles and inflammation. Natural antioxidants such as nicotinamide mononucleotide (NMN), decursin, and l -cysteine have shown potential in combating oxidative damage and inflammation. This study explored the effects of a formulated mixture of these compounds on skin aging and atopic dermatitis (AD) through a combination of in vitro , in vivo , and in silico methods. Using human keratinocyte cells, we assessed cytotoxicity via a cell viability assay, confirming NMN and l -cysteine were nontoxic up to 100 µM, while decursin exhibited toxicity above 10 µM. The intracellular oxidative stress measurement demonstrated that mixtures A and B, composed of the same concentrations of decursin and l -cysteine but differing in NMN levels (low in mixture A and moderate in mixture B), significantly reduced oxidative stress levels induced by 2,2’-azobis(2-amidinopropane) dihydrochloride, whereas mixture C, which contained the highest NMN concentration, was ineffective. Mixture B further reduced senescence-associated heterochromatin foci formation under oxidative stress, while mixture C caused cell structure disruptions. In the dinitrochlorobenzene-induced AD model in BALB/c mice, both, mixture-L and mixture-H treatments reduced epidermal thickness, scratching behavior, and transepidermal water loss, with mixture-L also lowering dermal thickness and mast cell infiltration. Gene expression analysis confirmed that mixture B decreased proinflammatory cytokines like TNF-α and IL-6 , while network pharmacology predicted key antioxidant pathways, validated through restored NOS2 gene expression. Overall, the findings highlight the potential of these compound mixtures to mitigate oxidative stress and inflammation, offering a promising approach for skin aging and dermatitis management, though further validation is needed to optimize efficacy and safety.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".