| Literature DB >> 35601554 |
Zhujun Luo1,2, Hao He1,2,3,4, Tiantian Tang5,6,7, Jun Zhou1,2, Huifang Li1,2,3, Navindra P Seeram3, Dongli Li1,2, Kun Zhang1,2, Hang Ma1,2,3, Panpan Wu1,2.
Abstract
We previously reported that the structural modifications of pentacyclic triterpenoids including oleanolic acid resulted in enhanced hyaluronidase inhibitory activity but whether this applies to other pentacyclic triterpenoids such as betulinic acid (BA) is unknown. Herein, we synthesized BA derivatives with an α,β-unsaturated ketene moiety and evaluated for their: 1) hyaluronidase inhibitory activity and, 2) anti-inflammatory effects against lipopolysaccharides (LPS) induced inflammation. Compared to BA, the BA derivatives exerted improved anti-hyaluronidase activity (26.3%-72.8% vs. 22.6%) and anti-inflammatory effects by reducing nitrite production in BV2 cells (3.9%-46.8% vs. 3.4%) and RAW264.7 cells (22.7%-49.2% vs. 20.4%). BA derivatives inhibited LPS-induced production of pro-inflammatory cytokines in THP-1 cells (15.2%-22.4%). BA derivatives also exerted promising anti-inflammatory effects against hyaluronic acid fragment induced nitrite production (8.6%-35.6%) in THP-1 cells. BA derivatives showed augmented anti-hyaluronidase and anti-inflammatory effects but further biological evaluations using in vivo models are warranted to confirm their efficacy.Entities:
Keywords: anti-inflammatory; betulinic acid; derivative; hyaluronidase; α,β-unsaturated ketene
Year: 2022 PMID: 35601554 PMCID: PMC9115581 DOI: 10.3389/fchem.2022.892554
Source DB: PubMed Journal: Front Chem ISSN: 2296-2646 Impact factor: 5.545
SCHEME 1Chemical synthesis of two series of BA derivatives. Reagents and conditions: (A) Jones reagent, acetone, 0°C to r.t., 2 h, 92%; (B) CH3I, K2CO3, DMF, N2, r.t., overnight, 98%; (C) R-CHO, KOH, EtOH, r.t., 3 h, 53–91%.
The structure and functional groups of BA derivatives and their inhibition rate of HAase (at a threshold concentration of 40 µM).
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| H | F | H | H | 44.1 ± 2.7 |
| NO2 | H | H | OMe | 12.5 ± 3.4 |
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| Br | H | H | H | 65.4 ± 0.4 |
| NO2 | H | H | F | 14.9 ± 2.1 |
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| NO2 | H | H | OMe | 46.5 ± 3.6 |
| H | H | H | F | 1.0 ± 1.1 |
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| NO2 | H | H | F | 72.8 ± 0.9 |
| F | H | H | H | 4.9 ± 1.9 |
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| OMe | H | H | H | 68.1 ± 6.8 |
| H | Br | H | H | 6.7 ± 2.8 |
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| NO2 | H | F | H | 52.7 ± 1.4 |
| H | Cl | H | H | 3.4 ± 2.5 |
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| F | H | H | H | 26.3 ± 2.8 |
| H | CF3 | H | H | 8.8 ± 1.4 |
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| H | Br | H | H | 35.3 ± 6.6 |
| H | H | OMe | H | 7.5 ± 2.3 |
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| H | OMe | H | H | 42.4 ± 2.1 |
| Br | H | H | H | 5.5 ± 1.0 |
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| H | H | F | H | 35.5 ± 2.5 | ||||||
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| H | CF3 | H | H | 31.6 ± 2.0 | ||||||
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| H | Cl | H | H | 21.3 ± 1.1 | ||||||
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| H | H | OMe | H | 77.7 ± 1.9 | ||||||
Inhibition rate against HAase of test compounds at 40 µM.
FIGURE 1Effects of leading BA derivatives on the activity of HAase enzyme activity. The inhibition rates (%) of each compound were measured at five concentrations (1, 5, 25, 50, and 100 µM) and an inhibition curve of each compound was constructed to calculate the IC50 value by analyzing the inhibition rates at different concentrations with a nonlinear regression algorithm using GraphPad Prism.
Estimated free binding energy and inhibition constant of BA derivatives by molecular docking method.
| Compounds | Banding energy (kcal/mol) |
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| −8.8 | 338.0 |
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| −11.4 | 4.6 |
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| −9.5 | 115.9 |
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| −8.7 | 436.3 |
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| −9.2 | 169.0 |
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| −9.2 | 169.0 |
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| −8.7 | 434.7 |
FIGURE 2Molecule docking analysis of the interactions between HAase enzyme protein and BA derivatives. (A) Binding pocket of HAase with embedded compound BA-03; (B) The active site of most potent compound BA-03; (C) The molecular interactions of compound BA-03 and HAase showing formed molecular forces.
FIGURE 3Effects of BA derivatives on the cell viability of BV-2 cells (A) and effects of BA derivatives on the NO production in BV2 cells with or without the stimulation of LPS. (B) Data presented as mean ± S.E. (n = 3). Significance was reported by analysis of variance (ANOVA) followed with Dunnett multiple comparison testing. Significance as compared to the control group p ≤ 0.0001 (####); or compared to the model (LPS-stimulated) group, p ≤ 0.05 (∗) and p ≤ 0.0001 (∗∗∗∗).
FIGURE 4Effects of BA derivatives on the cell viability of RAW 264.7 cells (A) and effects of BA derivatives on the NO production in RAW 264.7 cells with or without the stimulation of LPS. (B) Data presented as mean ± S.E. (n = 3). Significance was reported by analysis of variance (ANOVA) followed with Dunnett multiple comparison testing. Significance as compared to the control group p ≤ 0.0001 (####); or compared to the model (LPS-stimulated) group, p ≤ 0.01 (∗∗) and p ≤ 0.0001 (∗∗∗∗).
FIGURE 5Effect of BA derivatives on the production of IL-6 in THP-1 cells. All data expressed as mean ± standard error (n = 3), significance was reported by analysis of variance (ANOVA) followed with Dunnett multiple comparison testing. Significance as compared to the control group p ≤ 0.0001 (####) and as compared to the model (LPS-stimulated) group, p ≤ 0.05 (∗) and p ≤ 0.001 (∗∗∗).
FIGURE 6Effect of BA derivatives on the production of IL-6 in hyaluronic acid fragment stimulated THP-1 cells. All data expressed as mean ± standard error (n = 3), significance was reported by analysis of variance (ANOVA) followed with Dunnett multiple comparison testing. Significance as compared to the control group p ≤ 0.0001 (####) and as compared with the model group, p ≤ 0.05 (∗), p ≤ 0.001 (∗∗∗) and p ≤ 0.0001 (∗∗∗∗).