Experimentation design
In this study, imatinib-TFS were prepared using the film hydration method. The D-optimal design was used to optimize and assess the main effects of formulation variables including lecithin content, lecithin/EA ratio and the type of EA on the PS, PDI, ZP, EE% and RE%, as described in
Table 1. The obtained responses from 16 runs, generated by using the Design-Expert software, are shown in
Table 2. Analysis of data indicated that the best model fitted to the data obtained for PS and PDI was the 2FI model whereas for ZP, EE and RE, the selected model was quadratic. The lack of fit F-value for these models was not significant, implying that the models were appropriate for prediction within the range of experimental variables.
Figures 1-
3 indicate the effects of independent variables on studied responses.
Effect of independent variables on PS and PDI
As seen in
Table 2, the PS varies from 96.4 nm to 334.4 nm.
Figure 1 showed the effects of different studied parameters on the PS of imatinib-TFS. Analysis of data indicated that the PS was inversely affected by the lecithin/ EA ratio; as seen increasing lecithin/ EA ratio decreased the PS of imatinib-TFS (
p-value < 0.05,
Figure 1a). This may be attributed to the change in packing density of phospholipid molecules within TFS bilayers caused by the EA (surfactants). Surfactants located in the bilayer may cause incomplete maturation of vesicles and the formation of larger particles. These results are in good agreement with those of Qushawy
et al. (
14) who reported that the PS of miconazole-loaded TFS was reduced when increasing the lecithin/ EA ratio from 80:20 to 90:10. It was found that PS of TFS also was dependent on the molecular structure, HLB, and ionic nature of the surfactant (
15). Analysis of our data showed that EA type also had a significant effect on PS (
p-value < 0.05). As shown in
Figure 1b, the PS of TFS comprising different surfactants were in the following order: Tween 80 < Span 80 <Span 20. Compared with span 20 (HLB: 8.6), incorporation of span 80 (HLB: 4.3) considerably decreased the PS. The finding that an EA with a lower HLB value produced vesicles of smaller size may be related to the decrease in the surface energy with the increase in hydrophobicity (
16). Despite its higher HLB, Tween 80 (HLB: 15) produced smaller PS than span 80. This can be due to the presence of several ethylene oxide side chains in Tween 80 which provide higher steric repulsion in the continuous aqueous phase, impeding the aggregation of vesicles (
16-
18). In addition, since the lipophilic part of Tween 80 was shorter than the polyoxyethylene chain as the hydrophilic region, the extent of Tween 80 intercalated into the bilayers was not deep. As a result, a hydrophilic moiety of Tween 80, placed the outer part of the bilayer membrane, increased the TFS particle curvature, while, lipophilic part of that, placed the inner part, did the opposite (
17). Thereby, the addition of Tween 80 surfactants overall decreased the PS of TFS. These results were in accordance with the results obtained from studies of Aboud
et al. (
16) and Liu
et al. (
17).
The PDI is a dimensionless parameter that describes the width of the PS distribution. The PDI is an indicator of particle uniformity and may vary from 0.0 to 1.0. Values close to zero indicate a homogeneous dispersion, and those greater than 0.5 indicate high heterogeneity (
19). As represented in
Table 2, the PDI values of all formulations were between 0.25 and 0.54. The lipid content, lecithin/ EA ratio and the surfactant type all had significant effects on the PDI of the transfersomal formulations (
p-value < 0.05). The PDI was reversely dependent on the lecithin content and lecithin/ EA ratios (
Figures 1c-1e). As lecithin content and lecithin/ EA ratio increased, the PDI of imatinib-TFS considerably decreased
. The PDI values of TFS formulations comprising different surfactants were in the following order: Tween 80>span 20>Span 80. Thus, compared with span 20 and Span 80, incorporation of Tween 80 in TFS will increase the PDI of imatinib-TFS.
Effects of independent variables on ZP
ZP refers to total electrical charges that develop at the interface between the dispersed particles and the liquid medium. The magnitude of ZP determines the degree of repulsion between particles of the same charge, and thus the physical stability of a formulation. As indicated in
Table 2, the ZP values for different TFS formulations varied from -1.12 to -21.33 mV. The ANOVA analysis demonstrated that EA type and lecithin content had prominent effects on ZP (
p-value < 0.05).
TFS consisting of Tween 80 showed the highest absolute value of ZP (
Figure 2a). This could be related to their smaller size as discussed earlier. Smaller particles have indeed a greater surface-to-volume ratio, resulting in a higher density of surface charge of the particles.
The increase in lecithin amount led to the decrease in ZP (
p-value <0.05,
Figure 2b). This might be attributed to exposure of the N-terminal sequence of phosphatidylcholine on the outer part of TFS, inducing a higher positive ZP. In this way, increasing lecithin content resulted in an overall decrease of ZPs (
20).
Effect of independent variables on EE %
The EE of imatinib formulations ranged from 69.65% to 96.98%. Analysis of data showed that the lecithin/ EA ratio was the only significant factor affecting the EE (
p-value < 0.05). As shown in
Figure 2c, the EE of the drug increased significantly with the increase of lecithin/ EA ratio from 4 to 7. This indicates that higher surfactant amounts,
i.e. where the lowest lecithin/ EA ratio is used, may decrease the packing density of the bilayer resulting in the lower EE capability of vesicles. However, further increase of lecithin/ EA ratio from 7 to 10, led to the decrease in the EE. The lower EE at a higher ratio of lecithin/ EA ratio may be related to the size of TFS. Since the lipophilic drug are incorporated within the lipid bilayer, the small size of TFS limits space within the bilayer for large amounts of drug to accommodate (
21).
Effect of independent variables on RE%
The results of imatinib release studies are shown in
Figure 3a-3c. The drug release profile from imatinib-TFS showed a biphasic sustained release pattern. The initial faster drug release seems to be related to the imatinib desorbed from the surface of particles, whereas the second phase represents slower diffusion of the drug through the lipid bilayer membrane of TFS. A similar biphasic release pattern was reported for TFS containing tizanidine (
22). To ease the comparison of release behavior of different formulations, the RE was calculated and compared (
Table 2). The RE values ranged from 50.83 to 83.26.
The ANOVA results indicated that lipid content, surfactant type and lecithin/EA ratio had significant effects on the RE of imatinib-TFS. As shown in
Figure 3d-3e, the RE % decreased with increasing lecithin content and increased as the lecithin/ EA ratio increased. A possible explanation for lower drug release at a lower level of lecithin/ EA ratio and a higher level of lecithin may be that the bilayer was more ordered and less leaky, which hindered drug release (
23). These results may also be attributed to the PS, where smaller particles provide a larger surface area exposed to the release medium and, decrease the diffusion path length, and thus enhance the drug release rate. This finding was similar to the results of drug release from other nanoparticles (
24). The RE% values of imatinib-TFS consisting of different surfactants were in the following order: Tween 80> Span 20 > Span 80 (
Figure 3f), which was in agreement with other studies (
16,
22). This might be due to the difference in alky chain-length of EAs (surfactants). The EAs of longer chain length showed decreased drug release rate, possibly due to the enhanced molecular ordering of the TFS. In addition, it is assumed that EAs of high hydrophobicity may reduce the probability of formation of transient hydrophilic holes, hence, decrease the RE (
23).
Optimization
The optimum condition for preparation of imatinib-TFS was selected based on the criteria of obtaining minimum values of PS, PDI, and ZP and maximum value of EE and RE. Design-Expert software suggested P
27R
10S
80 as the optimal formulation with a desirability value of 77%. This formulation was composed of 27 mg lecithin, lecithin/ EA ratio of 10 and span 80 as EA. The prepared TFS had PS of 140.53 ± 0.87 nm, PDI value of 0.44 ± 0.01, ZP of -17.63±0.65 mV, EE of 98.70 ± 0.38 % and RE of 81.26 ± 0.70 %. The drug release profile from the optimized imatinib-TFS is shown in
Figure 4a. For validation of D-optimal results, the error % was measured after conducting the experiments as given by the software. As shown in
Table 3, the experimental observed values of the studied response were in agreement with the predicted value generated by the software, indicating that the optimization technique was trustworthy and rational. The SEM photomicrograph of the imatinib-TFS shows spherical shaped particles with the size in agreement with that obtained by the PS analyzer (
Figure 4b)
FTIR analysis
The FTIR spectra of imatinib, blank TFS, and imatinib-loaded TFS are shown in
Fig 5. The pure imatinib shows bands at 3325.64 cm
-1 (N-H stretch), 2931.27 cm
-1 (C-H stretch, aromatic), 2789.53 cm
-1 (C-H stretch, aliphatic), 1644.02 cm
-1 (C=O carbonyl), 1583.27 cm
-1 (C=C aromatic) and 1552.42 cm
-1(C=N aromatic). In addition to characteristic bands which were identified in the FTIR spectra of blank TFS, imatinib-TFS showed absorption bands related to imatinib with no significant shift. The results indicated the entrapment of imatinib into the TFS, as well as no physicochemical interaction between imatinib and excipients in TFS formulation.
Freeze-drying of imatinib-TFS
The major obstacle limiting the application of nanoparticles is related to their physical and/or chemical instability; this could commonly occur when there is the storage of these nanoparticle aqueous suspensions for a relatively long period. To improve the physical as well as chemical stability of such systems, the removal of water should be done. Freeze-drying is known as the most widely applied process allowing the conversion of solutions or suspensions into solids with adequate stability for distribution and storage in the pharmaceutical field. Freeze-drying is regarded as an industrial process consisting of removing water from a frozen sample through sublimation and desorption in vacuum conditions. In such a process, different stresses may be generated during the freezing and drying stages. Therefore, protectants are usually added to the formulations to prevent or minimize destabilization processes during freezing and desiccation stresses (
25). The mean PS of imatinib-TFS which was freeze-dried with and without cryoprotectants after re-dispersion in water can be seen in
Table 4. In the formulations lacking cryoprotective agents, a considerable rise in PS and PDI was observed.
A considerable increase of PS upon reconstitution of freeze-dried TFS sample in all tested samples was observed where mannitol was used as a cryoprotectant in the lyophilization (
Table 4). Mannitol is a sugar alcohol with low molecular weight; it can form a crystalline phase through lyophilization. The growing crystals of mannitol could lead to induction of mechanical stress and reduction of the available space for TFS (
26-
27). TFS which are in such a TFS-rich and poorly hydrated phase may interact more easily, leading to the formation of aggregates. Similarly, Holzer
et al. (
27) indicated that the use of mannitol in freeze-drying increased the mean PS of PLGA nanoparticles following reconstitution, and this was not dependent on the mannitol concentrations applied. Use of 1% w/v lactose and sucrose in lyophilization of TFS produced moderate particle aggregation. The increase of the concentrations of lactose and sucrose to 3% w/v decreased the PS. As shown, formulations with 3% w/v sucrose exhibited almost no change in PS following freeze-drying. Further, it should be noted that imatinib-TFS which were lyophilized with 3% w/v sucrose had the least reconstitution time as compared with other formulations. According to the reconstitution behavior and DLS data following reconstitution, the use of sucrose at 3% w/v seems to efficiently lyoprotect imatinib-TFS during freeze-drying.
In-vitro skin permeation investigation
The
ex-vivo skin permeation results are shown in
Figure 6. The cumulative amounts of imatinib which permeated through the rat skin from imatinib-TFS-Gel were remarkably higher than from imatinib-gel. The flux of imatinib-TFS-Gel through rat skin was shown to be 15.41 ± 0.12 μg.cm
-2.h
-1, whereas imatinib-Gel had a considerably lower transdermal flux (Jss: 7.45 ± 0.20 μg.cm
-2.h
-1). The enhanced drug permeation from imatinib-TFS-Gel could be attributed to nanosized TFS. In addition, the presence of the surfactant in the TFS structure may enhance the penetration of vesicles via rendering deformability to TFS (
28). TFS can now squeeze themselves through hydrophilic pathways or pores between the skin cells with no loss of the vesicle integrity, (
29)
In-vitro release of imatinib-TFS-Gel
The release profiles of imatinib from optimized imatinib-TFS and imatinib-TFS-Gel over time are shown in
Fig 4a. Imatinib cumulative release during 24 h from TFS-Gel was markedly lower than from TFS (55%
vs. ~100%). The imatinib slower release from TFS-Gel may be attributed to the obstructive impact of the gel matrix (
30-
31). Under this condition, the drug was first released from TFS; then its diffusion through the gel matrix occurred; this led to more sustained release as compared to drug release from TFS. This was in agreement with the results obtained by Ali et al (
32), who showed that the gel matrix surrounding papaverine hydrochloride-loaded nano-TFS could impede the release of the drug.
In-vivostudies
The CFA subcutaneous injection produced local edema within a few hours (
33). The changes occurred in rat ankle diameter and paw weight were used to evaluate the effects of imatinib on RA.
Figure 7a displays the percentage of increase in the ankle diameter among different treatment groups. Swelling in the right paw of the animals which had been induced by CFA injection on the first day was increased until the end of the experiment in drug-free gel, drug-free TFS-Gel, and imatinib-Gel treated groups. The percentage of increase in the rats’ ankle diameter treated with imatinib-TFS-Gel was found to be much less than that with other groups notably on the 11th and 14
th days of the treatment (
p < 0.05,
Figure 7a).
Figure 7b shows the percentage of increase in paw weight among different groups on the 14
th day of the treatment. The increased percentage in paw weight in the RA animals which were treated with drug-free gel, drug-free TFS-Gel and imatinib-Gel was found to be 85.2%, 75.1% and 90.4%, respectively. The least weight increase was 42.9% which belonged to the animals treated with imatinib-TFS-Gel. This was also in agreement with the results related to ankle diameter, both demonstrating the efficacy of imatinib-TFS-Gel in the treatment of arthritic rats. The more therapeutic efficacy in the developed formula could be attributed to the ability of TFS to increase the imatinib percutaneous permeation. So, a higher amount of the drug could be transferred to deeper skin layers, thus improving the therapeutic anti-inflammatory response. These results were also in agreement with the previous research, where, Lei W
et al. (
34) reported a more efficient treatment of atopic dermatitis where tacrolimus was formulated in TFS.
Effects of different studied parameters on PS and PDI of imatinib-TFS
Effects of different studied parameters on ZP and EE % of imatinib-TFS
(a-c) Release profile of imatinib from TFS (d-f) Effects of different studied parameters on release efficiency% of imatinib-TFS
(a) The mean percent of drug release from optimized imatinib-TFS and imatinib-TFS-Gel (b) SEM of optimized imatinib-TFS
FTIR spectra of imatinib, blank TFS, and imatinib loaded TFS
Permeation profiles of imatinib from imatinib-TFS-gel and imatinib-gel through rat skin
(a) Increase percentage in ankle diameter among diverse treated groups (b) Increase percentage in paw weight among diverse treated groups
| Variables | Levels |
|---|
| X1 = Lecithin content (mg) | 25 | 37.5 | 50 |
| X2 = Lecithin/EA ratio (w/w) | 4 | 7 | 10 |
| X3 = EA Type | Span20 | Span80 | Tween80 |
| Dependent variables | Constraints |
| Particle size (nm) | Minimize |
| PDI | Minimize |
| Zeta potential (mv) | Minimize |
| Encapsulation efficiency% | Minimize |
| Release efficiency during 24 h | Minimize |
| Formulations | EA type | P | R | Particle size (nm) | PDI | Zeta potential (mV) | Encapsulation efficiency (%) | Release efficiency (%) |
|---|
| P25R4S80 | Span 80 | 25 | 4 | 133.91 ± 2.11 | 0.42 ± 0.02 | -3.84 ± 0.13 | 69.65 ± 0.85 | 57.82 ± 1.27 |
| P37.5R10T80 | Tween 80 | 37.5 | 10 | 127.43 ± 3.46 | 0.48 ± 0.03 | -15.13 ± 0.91 | 96.03 ± 1.64 | 83.26 ± 2.14 |
| P50R7S80 | Span 80 | 50 | 7 | 146.19 ± 1.64 | 0.28 ± 0.01 | -4.13 ± 0.21 | 92.16 ± 1.33 | 50.83 ± 2.25 |
| P50R10S80 | Span 80 | 50 | 10 | 151.18 ± 3.71 | 0.29 ± 0.02 | -10.90 ± 0.47 | 91.79 ± 2.12 | 53.55 ± 3.42 |
| P50R4S20 | Span 20 | 50 | 4 | 334.45 ± 5.96 | 0.48 ± 0.02 | -3.45 ± 0.36 | 91.12 ± 0.79 | 59.93 ± 1.09 |
| P37.5R7S80 | Span 80 | 37.5 | 7 | 158.14 ± 2.59 | 0.25 ± 0.01 | -2.67 ± 0.15 | 98.88 ± 0.34 | 46.65 ± 3.83 |
| P37.5R10S20 | Span 20 | 37.5 | 10 | 101.59 ± 1.60 | 0.29 ± 0.02 | -1.82 ± 0.04 | 82.68 ± 2.80 | 74.58 ± 3.76 |
| P25R7S80 | Span 80 | 25 | 7 | 117.46 ± 2.65 | 0.42 ± 0.02 | -1.12 ± 0.01 | 90.71 ± 2.74 | 56.67 ± 3.48 |
| P50R7T80 | Tween 80 | 50 | 7 | 99.14 ± 0.98 | 0.41 ± 0.04 | -5.55 ± 0.37 | 92.82 ± 1.76 | 67.30 ± 2.65 |
| P37.5R4T80 | Tween 80 | 37.5 | 4 | 110.26 ± 1.96 | 0.41 ± 0.03 | -21.33 ± 1.03 | 96.59 ± 1.00 | 67.89 ± 2.63 |
| P50R4S80 | Span 80 | 50 | 4 | 134.32 ± 2.12 | 0.27 ± 0.01 | -4.53 ± 0.22 | 75.94 ± 3.10 | 48.99 ± 2.53 |
| P25R10S80 | Span 80 | 25 | 10 | 123.38 ± 2.19 | 0.41 ± 0.03 | -17.41 ± 0.86 | 96.98 ± 0.20 | 78.14 ± 1.82 |
| P37.5R10S20 | Span 20 | 37.5 | 10 | 105.34 ± 2.53 | 0.29 ± 0.03 | -2.70 ± 0.02 | 85.59 ± 0.81 | 72.42 ± 2.46 |
| P37.5R7S80 | Span 80 | 37.5 | 7 | 96.46 ± 1.80 | 0.32 ± 0.04 | -1.85 ± 0.06 | 94.24 ± 2.33 | 49.31 ± 2.36 |
| P25R7T80 | Tween 80 | 25 | 7 | 145.82 ± 2.24 | 0.36 ± 0.04 | -19.20 ± 1.10 | 93.28 ± 1.66 | 60.42 ± 2.78 |
| P25R4S20 | Span 20 | 25 | 4 | 304.70 ± 4.88 | 0.54 ± 0.05 | -3.96 ± 0.31 | 89.43 ± 2.45 | 67.31 ± 4.19 |
| Response | Particle size (nm) | PDI | Zeta potential, (mV) | Encapsulation efficiency% | Release efficiency% |
|---|
| Predicted values | 120.1 | 0.386 | -15.9 | 98.8 | 75.1 |
| Actual values | 140.53 ± 0.87 | 0.44 ± 0.01 | -17.63±0.65 | 98.70 ± 0.38 | 81.26 ± 0.70 |
| Errors (%) | 17.01 ± 0.89 | 13.03 ± 2.38 | -10.90±4.09 | -0.10 ± 0.40 | 8.21 ± 1.14 |
| Cryoprotectants | Concentration%, (w/v) | Particle size, (nm) | PDI | Dispersion time, (s) |
|---|
| - | - | 846.13 ± 12.84 | 0.658 ± 0.019 | 55.33 ± 2.62 |
| Sucrose | 1 | 235.37 ± 2.9 | 0.524 ± 0.003 | 28.33 ± 2.49 |
| 3 | 173.63 ± 3.4 | 0.472 ± 0.003 | 21.00 ± 1.63 |
| Mannitol | 1 | 783.67 ± 5.5 | 0.286 ± 0.002 | 60.33 ± 6.60 |
| 3 | 862.33 ± 72 | 0.310 ± 0.002 | 42.67 ± 2.49 |
| Lactose | 1 | 357.97 ± 7.6 | 0.328 ± 0.003 | 57.67 ± 6.80 |
| 3 | 248.50 ± 5.3 | 0.815 ± 0.044 | 45.67 ± 4.03 |