Dong Xie‡
a,
Kangjia Han‡a,
Qian Jianga,
Sida Xiea,
Jielong Zhoua,
Yingjun Zhangb,
Junming Xuc,
Yuanping Hed,
Ping Zhao*e and
Xiaoqin Yang*a
aKey Laboratory of National Forestry and Grassland Administration on Highly-Efficient Utilization of Forestry Biomass Resources in Southwest China, Southwest Forestry University, Kunming, Yunnan 650224, PR China. E-mail: yangxiaoqin@swfu.edu.cn
bLaboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650204, PR China
cInstitute of Chemical Industry of Forest Products, Chinese Academy of Forestry, Nanjing, Jiangsu 210042, PR China
dKunming Beiye Dai Medicine Research Institute, Kunming, Yunnan 650499, PR China
eKey Laboratory of Ministry of Education for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Southwest Forestry University, Kunming, Yunnan 650224, PR China. E-mail: hypzhao2022@163.com
First published on 16th February 2024
Tyrosinase is a widely distributed copper-containing enzyme found in various organisms, playing a crucial role in the process of melanin production. Inhibiting its activity can reduce skin pigmentation. Hydroquinone is an efficient inhibitor of tyrosinase, but its safety has been a subject of debate. In this research, a scaffold hybridization strategy was employed to synthesize a series of hydroquinone–benzoyl ester analogs (3a–3g). The synthesized compounds were evaluated for their inhibitory activity against mushroom tyrosinase (mTyr). The results revealed that these hydroquinone–benzoyl ester analogs exhibited inhibitory activity against mTyr, with compounds 3a–3e displaying higher activity, with compound 3b demonstrating the highest potency (IC50 = 0.18 ± 0.06 μM). Kinetic studies demonstrated that the inhibition of mTyr by compounds 3a–3e was reversible, although their inhibition mechanisms varied. Compounds 3a and 3c exhibited non-competitive inhibition, while 3b displayed mixed inhibition, and 3d and 3e showed competitive inhibition. UV spectroscopy analysis indicated that none of these compounds chelated with copper ions in the active center of the enzyme. Molecular docking simulations and molecular dynamics studies revealed that compounds 3a–3e could access the active pocket of mTyr and interact with amino acid residues in the active site. These interactions influenced the conformational flexibility of the receptor protein, subsequently affecting substrate–enzyme binding and reducing enzyme catalytic activity, in line with experimental findings. Furthermore, in vitro melanoma cytotoxicity assay of compound 3b demonstrated its higher toxicity to A375 cells, while displaying low toxicity to HaCaT cells, with a dose-dependent effect. These results provide a theoretical foundation and practical basis for the development of novel tyrosinase inhibitors.
In 1996, Maeda6 discovered that arbutin, a glycosylated derivative of hydroquinone (Fig. 1), exhibited skin-whitening and depigmenting effects, effectively treating conditions like melasma and melanoma.7 Shiseido in Japan was among the pioneering companies to incorporate it as a natural additive in cosmetics, asserting it to be a non-toxic, side-effect-free substance.
The Personal Care Products Council in the United States included “arbutin extract” in the U.S. Cosmetic Ingredient Dictionary, and China also listed arbutin in the Catalog of Cosmetic Raw Materials (2015 Edition).8 However, recent years have seen safety concerns and adverse effects related to arbutin emerging within the cosmetic industry, prompting many companies to seek safer and more effective alternatives. Structural modifications and hybrid scaffold strategies represent vital approaches for expanding the biological activities of scaffolds and discovering highly active molecules. Hydroquinone esters commonly serve as synthetic intermediates for drugs.9 Due to their unique chemical structure, they can be modified to fine-tune the activity and bioavailability of drugs. Benzoyl compounds comprise a range of organic compounds with the benzoyl (C6H5CO–) functional group, exhibiting diverse biological activities such as antimicrobial, anti-inflammatory, antioxidant, anticancer, analgesic, and insecticidal effects.10,11 Specific benzoyl compounds, such as cinnamic acid derivatives, also demonstrate a degree of inhibition on tyrosinase, affecting the skin pigmentation process.12 Hence, the synthesis of hydroquinone with benzoyl compounds, using a scaffold hybridization strategy, offers promise for novel, highly efficient, and low-toxicity tyrosinase inhibitors.
Among various tyrosinase, mushroom tyrosinase (mTyr) is routinely used in experiments due to its well-established laboratory preparation methods.13 Therefore, in this research, hydroquinone and benzoyl derivatives were hybridized to synthesize a series of hydroquinone–benzoyl ester analogs. These synthesized compounds were evaluated for their inhibitory activity against mTyr, and their inhibitory activity against melanoma. The goal is to discover potent and safe tyrosinase inhibitors, holding significance in various fields, including food and pharmaceuticals.
The synthesis route of hydroquinone ester derivatives is depicted in Scheme 1. The reaction of hydroquinone with substituted benzoyl chloride yielded the target compounds 3a–3g (Scheme 1), among which 3a is novel compound, while 3b–3g are novel compounds. All the compounds were characterized using NMR (1H and 13C) and HRMS, and spectroscopic data can be found in the ESI (Fig. S1 and S2†).
Compound 3a, 4-hydroxyphenyl (2E)-3-(4-hydroxyphenyl) prop-2-enoate, pale yellow solid, obtained in 45% yield, m.p. 217–220 °C, purified by silica gel column chromatography eluted with petroleum ether/ethyl acetate (2:1, v/v), TLC: Rf = 0.25. UV-Vis (200–450 nm, CH3OH) λ: 314 nm. 1H NMR (500 MHz, CD3OD) δ 7.76 (d, 1H, J = 15.9 Hz), 7.53–7.51 (m, 2H), 6.95–6.93 (m, 2H), 6.84–6.77 (m, 5H), 6.61 (s, 1H), 6.50 (d, 1H, J = 16.0 Hz). 13C NMR (126 MHz, CD3OD) δ: 168.41, 161.78, 156.44, 148.15, 145.07, 131.63, 127.22, 123.62, 117.07, 116.78, 114.64. HRMS (ESI, 70 eV) calcd for C15H12O4 [M + H]+, m/z 256.0736; found, m/z 257.0808.
Compound 3b, 4-hydroxyphenyl cinnamate, white solid, obtained in 75% yield, m.p. 171–173 °C, purified by silica gel column chromatography eluted with petroleum ether/ethyl acetate (2:1, v/v), TLC: Rf = 0.25. UV-Vis (200–450 nm, CH3OH) λ: 283 nm. 1H NMR (500 MHz, CD3OD) δ 7.84 (d, 1H, J = 16.0 Hz), 7.68–7.64 (m, 2H), 7.46–7.40 (m, 3H), 7.00–6.93 (m, 2H), 6.82–6.78 (m, 2H), 6.71 (d, J = 16.0 Hz, 1H). 13C NMR (126 MHz, CD3OD) δ 166.19, 154.98, 146.27, 143.42, 134.24, 130.42, 128.70, 128.05, 121.99, 116.93, 115.25. HRMS (ESI, 70 eV) calcd for C15H12O3 [M + H]+, m/z 241.0786; found, m/z 241.0859.
Compound 3c, 4-hydroxyphenyl 3-phenylpropanoate, white solid, obtained in 40% yield, m.p. 149–151 °C, purified by silica gel column chromatography eluted with petroleum ether/ethyl acetate (7:1, v/v), TLC: Rf = 0.25. UV-Vis (200–450 nm, CH3OH) λ: 273 nm. 1H NMR (500 MHz, CDCl3) δ 7.37–7.21 (m, 5H), 6.87–6.81 (m, 2H), 6.78–6.71 (m, 2H), 5.16 (d, 1H, J = 15.4 Hz), 3.12–2.81 (m, 4H). 13C NMR (126 MHz, CDCl3) δ 172.18, 153.34, 144.03, 140.08, 128.60, 128.40, 126.46, 122.39, 115.98, 35.95, 30.96. HRMS (ESI, 70 eV) calcd for C15H14O3 [M + H]+, m/z 243.0943; found, m/z 243.1016.
Compound 3d, 4-hydroxyphenyl benzoate, white solid, obtained in 65% yield, m.p. 150–152 °C, purified by silica gel column chromatography eluted with petroleum ether/ethyl acetate (7:1, v/v), TLC: Rf = 0.25. UV-Vis (200–450 nm, CH3OH) λ: 272 nm, 314 nm. 1H NMR (500 MHz, CD3OD) δ 8.15 (dt, 2H, J = 8.5, 1.5 Hz), 7.67 (tdd, 1H, J = 7.1, 2.3, 1.2 Hz), 7.58–7.50 (m, 2H), 7.05–6.99 (m, 2H), 6.86–6.79 (m, 2H). 13C NMR (126 MHz, CD3OD) δ: 167.17, 156.50, 144.91, 134.76, 130.98, 130.96, 129.77, 123.46, 116.73. HRMS (ESI, 70 eV) calcd for C13H10O3 [M + H]+, m/z 215.0630; found, m/z 215.0703.
Compound 3e, 4-hydroxyphenyl 4-fluorobenzoate, white solid, obtained in 55% yield, m.p. 142–144 °C, purified by silica gel column chromatography eluted with petroleum ether/ethyl acetate (7:1, v/v), TLC: Rf = 0.25. UV-Vis (200–450 nm, CH3OH) λ: 272 nm. 1H NMR (500 MHz, CDCl3) δ 8.21 (dd, 2H, J = 8.7, 5.5 Hz), 7.18 (t, 2H, J = 8.6 Hz), 7.04–7.00 (m, 2H), 6.82–6.78 (m, 2H), 5.56 (s, 1H). 13C NMR (126 MHz, CDCl3) δ 167.23, 165.20, 165.12, 153.64, 144.09, 132.87, 132.79, 125.69, 125.67, 122.49, 116.21, 115.92, 115.74. HRMS (ESI, 70 eV) calcd for C13H9FO3 [M + H]+, m/z 233.0536; found, m/z 233.0608.
Compound 3f, 1,4-phenylene bis(4-fluorobenzoate), white solid, obtained in 40% yield, m.p. 196–198 °C, purified by silica gel column chromatography eluted with petroleum ether/ethyl acetate (15:1, v/v), TLC: Rf = 0.25. UV-Vis (200–450 nm, CH3OH) λ: 241 nm. 1H NMR (500 MHz, CDCl3) δ 8.27–8.20 (m, 4H), 7.28 (s, 4H), 7.20 (t, J = 8.6 Hz, 4H). 13C NMR (126 MHz, CDCl3) δ 167.26, 165.23, 164.11, 148.34, 132.89, 132.82, 125.59, 125.57, 122.67, 115.96, 115.78, 77.27, 77.02, 76.76. HRMS (ESI, 70 eV) calcd for C20H12F2O4 [M + H]+, m/z 355.0704; found, m/z 355.0777.
Compound 3g, 1,4-phenylene bis(3-phenylpropanoate), white solid, obtained in 57% yield, m.p. 128–130 °C, purified by silica gel column chromatography eluted with petroleum ether/ethyl acetate (15:1, v/v), TLC: Rf = 0.25. UV-Vis (200–450 nm, CH3OH) λ: 228 nm, 260 nm. 1H NMR (500 MHz, chloroform-d) δ 7.35–7.28 (m, 4H), 7.28–7.20 (m, 6H), 6.99 (s, 4H), 3.06 (t, 4H, J = 7.7 Hz), 2.88 (dd, 4H, J = 8.1, 7.2 Hz). 13C NMR (126 MHz, CDCl3) δ 171.26, 148.00, 140.03, 128.61, 128.40, 126.48, 122.36, 35.93, 30.92. HRMS (ESI, 70 eV) calcd for C24H22O4 [M + H]+, m/z 375.1518; found, m/z 375.1592.
Compounds | IC50 (μM) | Maximum inhibition rate/concentration (%/μM) |
---|---|---|
3a | 1.75 ± 0.02 | 74.66 ± 2.44/10 |
3b | 0.18 ± 0.06 | 80.56 ± 2.48/2.5 |
3c | 7.46 ± 0.90 | 75.41 ± 1.41/50 |
3d | 20.49 ± 1.79 | 68.74 ± 1.97/75 |
3e | 24.70 ± 3.04 | 68.27 ± 2.83/100 |
3f | 54.16 ± 8.65 | 69.50 ± 0.70/100 |
3g | 294.00 ± 1.84 | 50.00 ± 1.41/250 |
Hydroquinone | 22.78 ± 0.16 | 78.50 ± 3.54/75 |
Cinnamic acid | 201.40 ± 5.30 (ref. 15) | — |
4-Hydroxycinnamic acid | 16.45 ± 5.42 | 71.82 ± 7.76/50 |
Kojic acid | 28.50 ± 1.10 (ref. 15) | — |
Moreover, according to the results of their inhibitory mTyr activity, five compounds 3a–3e with IC50 value lower than kojic acid [IC50 = (28.50 ± 1.10) μM] were selected for further mechanism study.
Fig. 2 Inhibition reversibility (A) and inhibition type (B) of compound 3b on mTyr. The embed (B) in the left represent the secondary slope of the straight lines versus concentration of compound 3b. |
Notably, as the concentration of the compounds increased, the slope of these lines gradually decreased. This trend indicates that the inhibition exerted by these compounds on mTyr activity is reversible. Furthermore, the rise in compound concentration led to a corresponding decline in enzyme activity. This observation suggests that these compounds engage in a reversible binding process with mTyr, forming dissociable complexes that impede the catalytic activity of enzyme. This reversible binding does not seem to induce permanent changes in the molecular conformation of enzyme that would lead to inactivation. Further probing the inhibition types of compounds on mTyr, a constant enzyme concentration was maintained while altering the substrate concentration of L-tyrosine. The impact of various compound concentrations on the enzyme-catalyzed reaction rate was determined within this experimental system. Utilizing the Lineweaver–Burk equation, double reciprocal plots were constructed, and the intersection points of the lines were employed to discern the inhibition types induced by the compounds (Fig. 2B for 3b and S4B† for 3a, 3c–3e). Notably, each compound (3a–3e) yielded a set of well-fitted linear relationships.16
However, distinct compounds exhibited intersecting lines in different quadrants, signifying diverse inhibition types. From Fig. S4B† for compound 3a and 3c, it is evident that upon introducing varying concentrations of 3a and 3c, the derived lines intersected the negative X-axis. Calculating the slope and intercept of these lines provided the Michaelis constant (Km) and maximum reaction rate (Vm) of mTyr, respectively.15 Table S1† revealed that while Km remained constant with altering 3a and 3c concentrations, Vm decreased with escalating compound concentrations. This indicated that compounds 3a and 3c function as non-competitive inhibitors of mTyr.17 This observation suggests that these compounds engage with essential groups (such as catalytic moieties) other than the substrate binding site in the active centre of enzyme. Consequently, the inhibitors do not diminish the affinity of enzyme for the substrate, but rather impede its catalytic function, thus reducing Vm. Additionally, within this inhibition type, compounds 3a and 3c can form a ternary enzyme–compound–substrate complex.15 Although this binding mode does not influence the enzyme–substrate interaction, it obstructs further product formation and consequently leads to diminished enzyme activity.18
For compound 3b (Fig. 2B), the lines intersect the third quadrant. Upon introducing different concentrations of 3b, the determined Km and Vm values were observed to change, with Km decreasing and Vm increasing with higher 3b concentrations (Table S1†). This denotes a mixed-type inhibition for compound 3b, indicating its interaction with both free mTyr and the mTyr–substrate complex. As shown in Fig. 2B, creating secondary plots of 1/Vm and Km for various 3b concentrations facilitated the calculation of the free enzyme inhibition constant (KI) and the mTyr–substrate complex inhibition constant (KIS), which were found to be 1.8831 μM and 0.3395 μM, respectively. Notably, KIS was lower than KI, suggesting that compound 3b has a propensity to associate with the enzyme–substrate complex.19
For compounds 3d and 3e (Fig. S4B†), the lines intersected the Y-axis. The consistent Vm values, despite changing 3d and 3e concentrations, indicated that these compounds solely influence Km. The increase in Km with rising 3d and 3e concentrations indicates their role as competitive inhibitors of mTyr (Table S1†). The interaction of 3d and 3e with free mTyr impedes the substrate L-tyrosine from binding to the active site of enzyme. As a result, 3d and 3e competitively bind to free mTyr, hindering the binding of the substrate L-tyrosine. This mutual exclusion between the substrate and inhibitors reduces enzyme activity.
In conclusion, this study uncovers the distinct inhibition types exhibited by compounds 3a–3e based on their interaction with mTyr, copper ions, and substrates. These findings provide crucial insights into the molecular mechanisms underlying the inhibitory effects of these compounds.
Fig. 4 Docking model for compound 3b with mTyr (A) and molecular dynamics results of compound 3b and 3b–mTyr complex with: (B) RMSD, (C) RMSF, (D) Rg, (E) SASA, and (F) H-bonds. |
From the figures, it is clear that although each compound adopts a distinct binding conformation with mTyr, compounds 3a–3e can access the active pocket of mTyr effectively. They approach the active centre copper ions and interact with both hydrophilic and hydrophobic amino acid residues surrounding the active centre through various forces, including van der Waals forces, hydrogen bonds (conventional hydrogen bonds and carbon hydrogen bonds), and hydrophobic interactions (pi–pi stacked/T-shaped, pi–sigma, and pi–alkyl interactions). These findings suggest that compounds 3a–3e do not directly interact with the copper ions in the active centre of mTyr, which aligns with the results of the UV-Visible spectroscopy analysis as mentioned earlier. As shown in Table S2,† the docking energies for compounds 3a–3e are −7.6, −7.2, −6.7, −7.0, and −6.7 kcal mol−1, respectively. Typically, the presence of hydrogen bonds enhances the strength of non-covalent interactions between small molecules and proteins. In the case of compounds 3a–3e, the phenolic hydroxyl group provided by the hydroquinone moiety in the compound structure can form hydrogen bonds with some amino acid residues. Specifically, in compound 3a, the phenolic hydroxyl group forms a conventional hydrogen bond with Arg268 with a bond length of 6.66 Å. In compound 3b, the phenolic hydroxyl group forms a conventional hydrogen bond with Met280 with a bond length of 5.01 Å. In compound 3d, the phenolic hydroxyl group forms conventional hydrogen bonds with Met280 and His263 with bond lengths of 4.88 Å and 4.06 Å, respectively. On the other hand, the phenolic hydroxyl groups in compounds 3c and 3e do not form hydrogen bonds with amino acid residues. Instead, the non-hydroquinone moiety ends of compound 3c engage in additional interaction forces with amino acids surrounding the active centre. The benzene ring in the non-hydroquinone moiety part of compound 3c engages in pi–sigma hydrophobic stacking interactions with Val283, pi–pi stacked/T-shaped interactions with His85 and His263. In the field of drug design, fluorine is usually introduced into small molecule compounds to inhibit sites prone to oxidation metabolism. This enhances the metabolic stability of the compounds and extends their duration of action within the body.22 In compound 3e, the fluorine atom also engages in halogen interactions with His263, which bears structural significance similar to weak hydrogen bonding. Additionally, the benzene ring connected to the fluorine in 3e forms pi–alkyl conjugation with Ala286 and Val283, pi–pi stacked/T-shaped hydrophobic interactions with His 85 and His263. It is worth noting that in compounds 3a, 3b, and 3c, the benzene rings within the hydroquinone moiety interact with Met257 through pi–sulfur interactions. In summary, compounds 3a, 3b, and 3d all exhibit docking energies below −7 kcal mol−1, indicating a strong binding affinity with mTyr, whereas compounds 3c and 3e exhibit docking energies within the range of −4 to −7 kcal mol−1, signifying moderate binding strengths. These results highlight the importance of hydrogen bonds and pi–sulfur interactions in the process of compound binding to mTyr. These non-covalent interactions induce modifications in the conformation of the mTyr active centre and, to varying degrees, impact the microenvironment of amino acid residues, consequently influencing substrate–enzyme binding. Taking into consideration the IC50 values of compounds against mTyr and the structural analysis, it becomes clear that the incorporation of double bonds conjugated with benzene rings enhances the formation of robust hydrogen bond interactions between the compounds and mTyr. Additionally, the introduction of fluorine atoms elevates the hydrophobicity characteristics of the molecules, thereby enhancing their activity. These findings offer valuable insights for the design and synthesis of highly potent mTyr inhibitors.23
The Root Mean Square Deviation (RMSD) of main chain carbon atoms is often employed to evaluate the stability and accuracy of docking results.24 The molecular dynamics trajectory results, as shown in the Fig. 4B and S7B,† indicate that the RMSD values of the empty mTyr protein receptor undergo significant fluctuations within the initial 10000 ps but reach equilibrium after 30000 ps, stabilizing at around 0.17 nm. This suggests that the structure of the mTyr protein remains stable during the molecular dynamics process. For the compound (3a–3e)–mTyr complex systems, the RMSD values tend to stabilize in the range of 35000–45000 ps, indicating reliable dynamic equilibrium in the compound (3a–3e)–mTyr complex systems. This provides strong evidence for the stable existence of the compound (3a–3e)–mTyr complexes. Notably, the RMSD values for the 3a–mTyr and 3b–mTyr complex systems are lower than those for the empty mTyr protein receptor, indicating lower mobility and better stability of the complex systems. This trend aligns with the inhibitory capacity of the five compounds on mTyr, with experimental results showing that compounds 3a and 3b exhibit better activity.
The Root Mean Square Fluctuation (RMSF) values of amino acid residues provide insights into the flexibility and local motion characteristics of the system. As shown in the Fig. 4C and S7C,† amino acid residues in the compound (3a–3e)–mTyr complex systems exhibit pronounced fluctuations in two regions, namely, 50–100 and 240–300. This indicates that small molecule compounds interact with nearby amino acid residues within the active pocket and that these amino acid residues actively participate in and stabilize the binding process by adjusting their conformations and angles.25
The radius of gyration (Rg) can characterize the structural compactness and flexibility of protein molecules. A larger Rg value indicates greater structural relaxation. The Fig. 4D and S7D† illustrates that the empty mTyr protein receptor stabilizes at an Rg value of around 2.07 nm after 20000 ps. Similarly, the compound (3a–3e)–mTyr complex systems also stabilize after 20000 ps, with Rg values slightly higher than those of the empty mTyr protein receptor. Amino acid residues repel each other due to interactions, leading to protein structural relaxation and expansion. This suggests that as small molecule compounds penetrate deeper into the active pocket and interact with surrounding amino acid residues, these residues undergo conformational changes, causing the protein structure to relax and the Rg to increase.26
The Solvent Accessible Surface Area (SASA) reflects the area of the surface of protein receptor surface in contact with solvent molecules and can characterize its hydrophobicity. As shown in Fig. 4E and S7E,† the SASA of the empty mTyr protein receptor remains stable at approximately 178 nm throughout the simulation process. In contrast, the compound–mTyr complex systems exhibit more noticeable variations, ultimately resulting in slightly higher SASA values than the empty mTyr protein receptor. This indicates that during the simulation process, as the protein becomes more relaxed, the surface area accessible to solvent molecules increases. This result is consistent with the Rg analysis.27
Hydrogen bonds play a significant role in substrate recognition and maintaining the stability of small molecule ligand–protein receptor complexes.28 During molecular dynamics simulations, the relative positions of compounds and mTyr are in constant flux, resulting in dynamic changes in the number of hydrogen bonds formed between them. As seen in Fig. 4F and S7F,† the number of hydrogen bonds for compounds 3a–3e fluctuates between 0 and 3, with occasional bond ruptures. Specifically, compounds 3a, 3b, and 3c maintain 1 hydrogen bond with mTyr for most of the simulation time, while compounds 3d and 3e stabilize at 1–2 hydrogen bonds. This trend closely aligns with the results from molecular docking.
In conclusion, molecular dynamics simulations provide a comprehensive understanding of the dynamic behaviour and stability of compound–mTyr complex systems. Evaluation parameters such as RMSD, RMSF, Rg, SASA, and hydrogen bond analysis shed light on the interactions between small molecule compounds and the mTyr enzyme. These insights contribute to the design and synthesis of highly effective mTyr inhibitors.
The results indicate that compound 3b has IC50 values of 40.77 μM and 168.60 μM against A375 and HaCaT cells, respectively. This suggests that compound 3b exhibits significant toxicity towards A375 cells while displaying minimal toxicity towards HaCaT cells. As illustrated in the Fig. 5B, within the concentration range of 3.125–25 μM, compound 3b exerts negligible toxicity on HaCaT cells, with an inhibition rate below 5%, and there are no significant morphological changes observed. In contrast, compound 3b demonstrates substantial toxicity against A375 cells, with an inhibition rate of 32.12%. This is characterized by reduced cell–cell contacts, chromatin condensation, and a crescent-shaped nuclear membrane. When the concentration is increased to 50 μM, compound 3b exhibits an inhibition rate of 9.09% on HaCaT cells, resulting in only minor alterations in cell morphology. However, at the same concentration, it exerts significantly greater toxicity on A375 cells, with an inhibition rate of 60.89%. This leads to pronounced changes in cell morphology, including loss of cell–cell contacts, membrane vesicle formation, and the presence of individual apoptotic bodies.30
These findings indicate that within the concentration range of 0–25 μM, compound 3b does not exhibit significant toxicity towards HaCaT cells but displays substantial toxicity towards A375 cells. Consequently, compound 3b shows potential as an anti-melanoma agent. However, further research is required to explore strategies for maintaining its toxicity against A375 cells while reducing its impact on HaCaT cells.
A375 Human melanoma (A375) tumor cells and human immortalized keratinocyte (HaCaT) non-tumor cells were obtained from the Nanjing Pusheng Biomedical Technology Co., Ltd (Jiangsu, China). Dulbecco's modified Eagle's medium (DMEM) and fetal bovine serum (FBS) were obtained from GIBCO (New York, USA). Both A375 tumor cells and HaCaT non-tumor cells were cultured in DMEM supplemented with 10% (v/v) FBS (New York, USA) at 37 °C with 5% CO2 in a humidified incubator. Cell counting kit-8 (CCK-8) solution was obtained from Dojindo Laboratories (Tokyo, Japan).
mTyr activity inhibition rate (%) = [(A − B) − (C − D)]/(A − B) × 100% | (1) |
For the evaluation of inhibition reversibility, a constant concentration of 1 mM L-tyrosine was employed. Various mTyr concentrations (100, 200, and 300 U mL−1) were applied, accompanied by compounds 3a–3e concentrations that will be determined based on the IC50 (OD475 × min−1) value. The absorption was measured to determine the initial enzymatic reaction rate corresponding to each enzyme concentration. Specifically, the initial enzymatic reaction rate was calculated by subtracting the initial absorbance from the absorbance recorded at a specific time and then dividing the result by the corresponding time interval.32 Subsequently, the collected data were plotted on a scatter plot, with the initial enzymatic reaction rate represented on the Y-axis and the enzyme concentration on the X-axis. In cases of reversibility, this will result in fitting a set of straight lines passing through the origin. Conversely, when reversibility was absent, a set of parallel lines emerged as the fit.33
In order to investigate the inhibition type, a final concentration of 300 U per mL mTyr was employed, accompanied by varying concentrations of L-tyrosine. The enzymatic reaction rate was evaluated for different concentrations of compounds 3a–3e. Subsequently, the ΔOD475 values were plotted against the L-tyrosine concentration using the Lineweaver–Burk equation, allowing for the creation of double reciprocal plots. The intersection points of these lines revealed the nature of mTyr inhibition caused by the compounds.34
After the molecular docking, pre-equilibration involved NVT and NPT simulations, followed by a 50000 ps molecular dynamics simulation using GROMACS. LINCS algorithm constrained hydrogen bonds, SETTLE maintained water molecules, and Parrinello–Rahman controlled pressure. The PME method was used for long-range electrostatic interactions. Trajectory files provided crucial data on complex properties.37
(2) |
Cell growth and morphology were observed using an inverted microscope (Olympus IX51, Japan). The experiments were conducted in triplicate to ensure accuracy and consistency of results.
Footnotes |
† Electronic supplementary information (ESI) available: Fig. S1. 1H NMR and 13C NMR for compound 3a–3g. Fig. S2. HRMS for compound 3a–3g. Fig. S3. The inhibitory activity of compound 3a–3g on mTyr. Fig. S4. Inhibition reversibility (A) and inhibition type (B) of compound 3a, 3c–3e on mTyr. Fig. S5. UV Spectra of compound 3a, 3c–3e before and after interaction with mTyr. Fig. S6. The crystal structure of mTyr (PDB ID: 2Y9X). Fig. S7. Docking model for compound 3a, 3c–3e with mTyr (A) and molecular dynamics results of compound 3a, 3c–3e and (3a, 3c–3e)–mTyr complex with: (B) RMSD, (C) RMSF, (D) Rg, (E) SASA, and (F) H-bonds. Table S1. Linear fitting equation, Michaelis constant (Km), maximum reaction rate (Vm), and inhibition type for mTyr at varying concentrations of compounds 3a–3e. Table S2. Docking energy and bonding condition of compounds 3a–3e with mTyr. See DOI: https://doi.org/10.1039/d4ra00007b |
‡ Co-first authors. These authors contributed equally to this work. |
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