| Literature DB >> 34959318 |
Ágota Pető1,2,3, Dóra Kósa1,2,3, Ádám Haimhoffer1,2,3, Pálma Fehér1, Zoltán Ujhelyi1, Dávid Sinka1, Ferenc Fenyvesi1, Judit Váradi1, Miklós Vecsernyés1, Alexandra Gyöngyösi4, István Lekli4, Péter Szentesi5, Annamária Marton6, Imre Gombos6, Barbara Dukic6, László Vígh6, Ildikó Bácskay1,3.
Abstract
BGP-15 is a Hungarian-developed drug candidate with numerous beneficial effects. Its potential anti-inflammatory effect is a common assumption, but it has not been investigated in topical formulations yet. The aim of our study was to formulate 10% BGP-15 creams with different penetration enhancers to ensure good drug delivery, improve bioavailability of the drug and investigate the potential anti-inflammatory effect of BGP-15 creams in vivo. Since the exact mechanism of the effect is still unknown, the antioxidant effect (tested with UVB radiation) and the ability of BGP-15 to decrease macrophage activation were evaluated. Biocompatibility investigations were carried out on HaCaT cells to make sure that the formulations and the selected excipients can be safely used. Dosage form studies were also completed with texture analysis and in vitro release with Franz diffusion chamber apparatus. Our results show that the ointments were able to reduce the extent of local inflammation in mice, but the exact mechanism of the effect remains unknown since BGP-15 did not show any antioxidant effect, nor was it able to decrease LPS-induced macrophage activation. Our results support the hypothesis that BGP-15 has a potential anti-inflammatory effect, even if it is topically applied, but the mechanism of the effect remains unclear and requires further pharmacological studies.Entities:
Keywords: BGP-15; PARP inhibitor; anti-inflammatory drug; antioxidant; dosage formulation; drug delivery; nicotinic amidoxime derivate; ointments; surfactants
Year: 2021 PMID: 34959318 PMCID: PMC8707203 DOI: 10.3390/pharmaceutics13122037
Source DB: PubMed Journal: Pharmaceutics ISSN: 1999-4923 Impact factor: 6.321
Figure 1Overview of the study design and formulation strategy.
Composition (CMP) of the formulated ointments.
| Composition | CMP 1 | CMP 2 | CMP 3 | CMP 4 | CMP 5 |
|---|---|---|---|---|---|
| Transcutol (1.4 g) | + | + | + | + | + |
| Emulsifier (3 g) | |||||
| Labrasol | + | − | − | − | − |
| Cremophor A6:A25 | − | + | − | − | − |
| SP50 | − | − | + | − | − |
| SP70 | − | − | − | + | − |
| PS750 | − | − | − | − | + |
| BGP-15 (10 g) | + | + | + | + | + |
| Cetostearyl alcohol (4.6 g) | + | + | + | + | + |
| Stearic acid (10 g) | + | + | + | + | + |
| Glycerol (5 g) | + | + | + | + | + |
| IPM (5 g) | + | + | + | + | + |
| Propylene glycol (5 g) | + | + | + | + | + |
| Purified water (ad 100.0 g) | + | + | + | + | + |
Mathematical model of drug release profiles.
| Model | Equations [ | Graphic | |
|---|---|---|---|
| Zero-order |
| (2) | The graphic of the drug-dissolved fraction versus time is linear. |
| First-order |
| (3) | The graphic of the decimal logarithm of the released amount of drug versus time is linear. |
Q0 is the initial amount of drug; Q is the amount of drug remaining at time t; Q is the fraction of drug released at time t; k0 and k1 are the kinetic constants.
Figure 2Resistance of the different ointments with the different surfactants. CMP 3 (made of SP50) showed the hardest consistency, while CMP 1 (made of Labrasol) showed the softest consistency. It is a representative measurement; the texture analyzer measures the values every 0.2 s. (Data present average values, n = 3).
Figure 3Release profiles of BGP-15 across cellulose acetate membrane from the different ointments. The best result belongs to CMP 3, while the lowest release values are produced by CMP 2. CMP 3 and 5 show similar results; in the case of CMP 1, a slower increasing tendency can be observed.
Correlation coefficient values of the ointment compositions.
| Kinetic Model | ||
|---|---|---|
| Composition | Zero | First |
| CMP 1. | 0.8549 | 0.8122 |
| CMP 2. | 0.7900 | 0.6249 |
| CMP 3. | 0.6465 | 0.1589 |
| CMP 4. | 0.7095 | 0.3765 |
| CMP 5. | 0.6502 | 0.1699 |
Release rate and diffusion coefficient values of the ointment compositions.
| Composition | Release Rate ( | Diffusion Coefficient |
|---|---|---|
| CMP 1. | 279.49 | 3.81 |
| CMP 2. | 123.39 | 0.972 |
| CMP 3. | 593.64 | 17.00 |
| CMP 4. | 402.12 | 6.48 |
| CMP 5. | 551.53 | 14.1 |
Difference and similarity factors to compare the release profiles of the ointments.
| Composition |
|
|
|---|---|---|
| CMP 4. vs. CMP 3. | 34.19 | 49.06 |
| CMP 4. vs. CMP 5. | 28.98 | 54.19 |
| CMP 4. vs. CMP 1. | 35.59 | 56.54 |
| CMP 4. vs. CMP 2. | 70.49 | 42.66 |
| CMP 5. vs. CMP 1. | 54.26 | 40.49 |
| CMP 1. vs. CMP 2. | 54.18 | 56.47 |
| CMP 5. vs. CMP 2. | 79.04 | 32.78 |
| CMP 3. vs. CMP 2. | 80.58 | 30.71 |
| CMP 3. vs. CMP 1. | 57.61 | 37.62 |
| CMP 3. vs. CMP 5. | 7.33 | 80.75 |
Figure 4In vitro cytotoxicity of sucrose esters (SP50, SP70, PS750) in different concentrations on HaCaT cell line. Cell viability is determined as the percentage of PBS (negative control). All sucrose esters proved to be non-toxic since the cell viability is above 70% in each case. The data present the mean of 6 wells ± SD. For statistical analysis one-way ANOVA test and t-test were performed. Significant differences are marked with **, *** and **** indicate statistically significant differences at p < 0.01, p < 0.001, p < 0.0001.
Figure 5Cell viability assay on HaCaT cell line after incubation for 6 h with each composition. Cell viability is expressed as the percentage of PBS (negative control). Application of the incubated samples did not affect cell viability; the results are above 70% in each case. The data present the mean of 6 wells ± SD. For statistical analysis one-way ANOVA test and t-test were performed. Significant differences are marked with. **** indicates statistically significant difference at p < 0.0001.
Figure 6Changes in ear thickness as a result of different treatments with different formulations. CMP 4 showed the greatest decrease in the ear edema compared to the positive control. The formulations made without either BGP-15 or the penetration enhancers were not able to make such differences. Statistical analysis was performed with the help of one-way ANOVA test and t-test at 10th minute, where the inflammation is at the peak. Ointment compositions with BGP-15 have significantly decreased inflammation compared to the positive control (AITC).
Figure 7Ear thickness in the 10th minute of the treatment with the different compositions. Statistical analysis was performed with the help of one-way ANOVA test and T-test in the 10th minute, where the inflammation is at the peak. Ointment compositions containing BGP-15 have significantly decreased inflammation compared to the positive control (AITC). *** and **** indicate statistically significant differences at p < 0.001 and p < 0.0001.
Figure 8Effects of BGP-15 pretreatment on SOD enzyme level on HaCaT cells, exposed to UVB radiation. SOD enzyme activity is expressed as the percentage of SOD activity in HaCaT cells without UVB radiation. UVB exposed cells treated with PBS only serve as negative control. Data are expressed as the mean ± SD, n = 6. Comparison of the different groups happened with Dunnett’s multiple comparisons test. **** indicates statistically significant difference at p < 0.0001.
Figure 9Effect of BGP-15-containing ointments on total antioxidant capacity. The results show no significant alteration with CMP 3 and 4, however, with CMP 5, TAC decreased.
Figure 10Effect of BGP-15 alone and together with surfactants (sucrose esters) on Raw264.7 cells induced with LPS. It appears that BGP-15 treatment was unable to reduce the LPS-activated macrophages’ NF-κB response.