1. Introduction
2. Materials and Methods
2.1. Cell Lines and Culture Conditions
2.2. Transwell Co-culture System
2.3. Reagents and Experimental Treatments
2.4. Cell Viability Assay (MTT)
2.5. siRNA-Mediated SIRT2 Knockdown
2.6. Measurement of Intracellular ROS
2.7. RNA Extraction and Quantitative PCR
| Target Gene | Forward Primer (5′→3′) | Reverse Primer (5′→3′) |
|---|---|---|
| TNF-α (TNF) | CCTCTCTCTAATCAGCCCTCTG | GAGGACCTGGGAGTAGATGAG |
| IL-1β (IL1B) | ATGATGGCTTATTACAGTGGCAA | GTCGGAGATTCGTAGCTGGA |
| NLRP3 | GATCTTCGCTGCGATCAACA | GGGATTCGAAACACGTGCATTA |
| HO-1 (HMOX1) | TATCGTGCTCGCATGAACACT | CCAACACTGCATTTACATGGC |
| SOD1 | AAGGCCGTGTGCGTGCTGAA | CAGGTCTCCAACATGCCTCT |
| GAPDH | GAAGGTGAAGGTCGGAGTC | GAAGATGGTGATGGGATTTC |
2.8. ELISA for Cytokine Secretion
2.9. AGK2-Alone Control Groups
2.10. Protein Extraction and Western Blotting
2.11. Nuclear–Cytoplasmic Fractionation
2.12. Immunofluorescence and Confocal Microscopy
2.13. Statistical Analysis
3. Results
3.1. Establishment of an ACD-Like Inflammatory and Oxidative Stress Model in Ker-CT Keratinocytes
Establishment of an ACD-like inflammatory and oxidative stress model in Ker-CT keratinocytes A, Schematic representation of the in vitro allergic contact dermatitis–like model. Ker-CT keratinocytes were cultured either as monocultures or in transwell co-culture with CCD-1064Sk fibroblasts and exposed to DNCB. Nickel sulfate was included as a comparator sensitizer for model validation; subsequent mechanistic analyses focused on DNCB due to its stronger and more reproducible phenotype. B, Cell viability of Ker-CT keratinocytes following exposure to DNCB (10, 25, 50 μM; 24 h) was assessed by MTT and normalized to vehicle control (set to 100%). C, TNF-α and IL-1β mRNA expression following DNCB or nickel sulfate treatment was quantified by RT-qPCR, normalized to GAPDH, and expressed as fold change relative to vehicle control. Nickel sulfate was used only for model validation and was not extended to downstream pathway analyses. D, Intracellular ROS levels were measured by DCFDA fluorescence in Ker-CT monoculture or Ker-CT/CCD-1064Sk transwell co-culture following DNCB exposure and normalized to vehicle control. Data are mean ± SD from ≥ 3 independent biological experiments (n ≥ 3). Statistical testing: one-way ANOVA with Tukey’s post hoc test. Significance: *P < 0.05, **P < 0.01, ***P < 0.001. Where shown, horizontal comparison bars denote statistical contrasts (black bars: vs vehicle control; grey bars: vs DNCB alone).
3.2. SIRT2 Involvement in DNCB-Induced Inflammatory and Oxidative Stress Responses
Involvement of SIRT2 in DNCB-induced inflammatory and oxidative stress responses A, SIRT2 protein levels in Ker-CT keratinocytes in transwell co-culture treated with DNCB (24 h) were assessed by Western blotting; GAPDH served as the loading control and densitometry was normalized to vehicle control. B, Functional target engagement was evaluated by acetylated α-tubulin (Ac-α-tubulin) accumulation after DNCB ± AGK2 treatment; total α-tubulin was used for normalization. C, Inflammatory responses were assessed by TNF-α and IL-1β mRNA levels (RT-qPCR; normalized to GAPDH) and secreted protein levels (ELISA) following DNCB ± AGK2. D, ROS generation was measured by DCFDA fluorescence following DNCB ± AGK2 and normalized to vehicle control. Data are mean ± SD from ≥ 3 independent biological experiments (n ≥ 3). Statistical testing: one-way ANOVA with Tukey’s post hoc test. Significance: *P < 0.05, **P < 0.01, ***P < 0.001. Where shown, horizontal comparison bars denote statistical contrasts (black bars: vs vehicle control; grey bars: vs DNCB alone).
3.3. SIRT2 Inhibition Attenuates DNCB-Induced NF-κB Activation in Ker-CT Keratinocytes
SIRT2 inhibition attenuates DNCB-induced NF-κB activation in Ker-CT keratinocytes A, NF-κB activation was assessed by Western blotting for phospho-p65 (Ser536) and total p65, presented as p-p65/p65 ratio, and for IκBα abundance following DNCB ± AGK2 treatment. Densitometric quantification was performed from ≥ 3 independent experiments and normalized to vehicle control. B, NF-κB p65 subcellular localization was assessed by immunofluorescence/confocal microscopy; representative images are shown and nuclear/cytoplasmic fluorescence ratios were quantified. C, Pharmacological validation using BAY 11 - 7082: p-p65/p65 ratios were compared across DNCB-treated groups with AGK2 or BAY 11 - 7082 by immunoblot and densitometry. Data are mean ± SD from ≥ 3 independent biological experiments (n ≥ 3). Statistical testing: one-way ANOVA with Tukey’s post hoc test. Significance: **P < 0.01. Where shown, horizontal comparison bars denote statistical contrasts (black bars: vs vehicle control; grey bars: vs DNCB alone).
3.4. SIRT2 Inhibition Suppresses NLRP3 Inflammasome Priming–Associated Responses and Restores Nrf2-Dependent Antioxidant Signaling in DNCB-Stimulated Keratinocytes
SIRT2 inhibition suppresses NLRP3 inflammasome priming–associated responses and restores Nrf2-dependent antioxidant signaling A, NLRP3 expression was assessed by Western blotting in Ker-CT keratinocytes treated with DNCB ± AGK2; densitometry was normalized to vehicle control. B, IL-1β and IL-18 secretion in culture supernatants was quantified by ELISA following DNCB ± AGK2. C, Nrf2 localization was assessed by nuclear–cytoplasmic fractionation and Western blotting; nuclear and cytoplasmic Nrf2 were normalized to Lamin B1 and GAPDH, respectively, and expressed as nuclear-to-cytoplasmic (N/C) ratio. D, Antioxidant outputs were assessed by HO-1 and SOD expression at mRNA level (RT-qPCR; normalized to GAPDH) and protein level (Western blot; densitometry normalized to vehicle control). Data are mean ± SD from ≥ 3 independent biological experiments (n ≥ 3). Statistical testing: one-way ANOVA with Tukey’s post hoc test. Significance: *P < 0.05, **P < 0.01, ***P < 0.001. Where shown, horizontal comparison bars denote statistical contrasts (black bars: vs vehicle control; grey bars: vs DNCB alone).
3.5. Genetic Validation of SIRT2 and Assessment of AGK2-Alone Baseline Effects (A–D)
Genetic validation of SIRT2 involvement and assessment of AGK2-alone baseline effects in DNCB-stimulated Ker-CT keratinocytes Ker-CT keratinocytes were maintained in transwell co-culture with CCD-1064Sk fibroblasts and assigned to: G1 vehicle control; G2 AGK2 alone; G3 DNCB; G4 DNCB + AGK2; G5 DNCB + siCtrl; G6 DNCB + siSIRT2. A, SIRT2 knockdown and target engagement were verified by Western blotting for SIRT2 and Ac-α-tubulin; total α-tubulin and GAPDH served as loading controls; densitometry was normalized to vehicle control. B, Basal and stimulated NF-κB signaling was assessed by Western blotting for phospho-p65 (Ser536), total p65, and IκBα. C, ROS levels were quantified by DCFDA fluorescence and normalized to vehicle control. D, Nrf2–Keap1 axis: Nrf2 localization was assessed by nuclear–cytoplasmic fractionation, and Keap1 abundance was assessed in whole-cell lysates. Data are mean ± SD from ≥ 3 independent biological experiments (n ≥ 3). Statistical testing: one-way ANOVA with Tukey’s post hoc test. Where shown, horizontal comparison bars denote statistical contrasts (black bars: vs vehicle control; grey bars: vs DNCB alone).
3.6. SIRT2-Dependent Regulation of Inflammatory and Oxidative Stress Signaling in DNCB-Stimulated Ker-CT Keratinocytes
Flowchart summarizing SIRT2-dependent modulation of inflammatory and oxidative stress pathways in DNCB-stimulated keratinocytes Figure illustrating the sequence of molecular events identified in this study. DNCB exposure is associated with increased SIRT2 expression/activity in Ker-CT keratinocytes (enhanced by fibroblast–keratinocyte crosstalk), supporting NF-κB activation, NLRP3 priming–associated inflammatory outputs (including IL-1 family cytokine release), and increased oxidative stress, while reducing Nrf2 nuclear enrichment and downstream antioxidant responses. Pharmacological inhibition of SIRT2 by AGK2 partially attenuates NF-κB activation and dampens NLRP3 priming–associated IL-1 family cytokine responses, while promoting Nrf2 nuclear enrichment and antioxidant enzyme expression, resulting in partial rebalancing of inflammatory–redox signaling rather than complete normalization.





