Formulation and Evaluation of Glyceryl Behenate based Solid Lipid Nanoparticles for the Delivery of Donepezil to Brain through Nasal Route
Mohd Yasir1,2*, Iti Chauhan2, Misbahu J. Haji1, Abdurazak J. Tura1, Prasoon K. Saxena3
1Department of Pharmacy, College of Health Science, Arsi University, Asella, Oromia Region, Ethiopia
2Department of Pharmaceutics, ITS College of Pharmacy, Muradnagar-201206, Ghaziabad- (UP), India
3Department of Pharmacognosy, ITS College of Pharmacy, Muradnagar-201206, Ghaziabad- (UP), India
*Corresponding Author E-mail: mohdyasir31@gmail.com
ABSTRACT:
In the present study, Donepezil (DPL) loaded solid lipid nanoparticles (SLNs) were formulated for brain targeting through nasal route. SLNs were prepared by solvent emulsification diffusion technique using Glyceryl behenate as lipid and blend of tween 80 and poloxamer 188 (1:1) as surfactant. SLNs were evaluated for particle size, zeta potential, drug entrapment efficiency, In vitro drug release, stability and in vivo studies. For optimized formulation, in vitro drug release was found to be 96.72 ± 5.89% in 24 h and Higuchi model was found to be fitted with highest value of correlation coefficient (R2= 0.9504). Stability studies revealed no significant (P< 0.5) change in particle size, zeta potential, entrapment efficiency and drug loading of optimized DPL-SLNs formulation when it was stored at 4±2 °C (refrigerator) and 25±2 °C /60 ±5% RH up to six months, but the size of particles was increased significantly (P˂0.001) when the optimized formulation was stored at 40±2 °C /75±5% RH. In vivo studies were performed on albino wistar rats and various pharmacokinetic and brain targeting parameters were determined. The value of AUC 0-∞ in brain for DPL-SLNs i.n. was found to be nearly 1.97 times higher than that of DPL-Sol. i.v., whereas 1.63 times superior than DPL-Sol. administered intranasally. The higher drug targeting efficiency (288.75%) and direct transport percentage (65.37%) with optimized formulation indicates better brain targeting efficiency as compared to other formulations.
KEYWORDS: Donepezil, Glyceryl Behenate, Nose to Brain Delivery, Pharmacokinetic, Solid Lipid Nanoparticles.
INTRODUCTION:
In certain cases, oral route fails to deliver therapeutic amount of drug to brain due the presence of certain interfaces like blood–brain barrier (BBB), blood-cerebrospinal fluid barrier and efflux transporters1. These barriers regulate the exchange between peripheral blood circulation and cerebrospinal fluid (CSF) circulatory system. Other factors like physicochemical properties of drug also create hindrance in central nervous system (CNS) delivery2.
Thus, various approaches like BBB disruption, drug manipulation and alternative route of drug administration like intra cerebroventricular, intrathecal, and olfactory pathways (intranasal route) are being used for targeting of drugs to the brain3. In the present scenario, the intranasal route to bypass the BBB is an upcoming field, as this route caters a novel, practical, simple and non-invasive approach to bypass the BBB and reduce the systemic exposure and thus systemic side-effects associated with drug4. Drug after intranasal administration reaches the olfactory epithelium region of the nasal mucosa that acts as a gateway for substances entering the CNS due to neural connection between the nasal mucosa and the brain5.
Many formulation strategies have been developed to overcome the BBB via intranasal route but all have their own limitations. On this note, the concept of lipid based nanoparticles like solid lipid nanoparticles (SLNs) matured.
SLNs were introduced at the beginning of 1991 as submicron colloidal carriers (50–1000 nm). They are used for delivery of both hydrophilic and lipophilic drug (s) being trapped in biocompatible material core made up of a lipid or combination of lipids and stabilized by surfactant which is present at the outer shell6. SLNs showed preferential benefits like targeted drug delivery, controlled drug release and increased bioavailability hence reduced dose and side effects of drug7. They have good tolerability and biodegradability, lack of acute and chronic toxicity, scalability to large scale production8. SLNs furnish an improvement in nose-to-brain drug delivery since they are able to protect the encapsulated drug from biological and/or chemical degradation and may also increase nasal retention time due to the occlusive effect, good application properties and adhesion to mucous membranes8.
Donepezil (DPL) (Fig. 1) is a piperidine-based, reversible and non-competitive inhibitor of the enzyme acetylcholinesterase (AChE)9. It is the second drug approved by the Food and Drug Administration (FDA) for the treatment of mild to moderate dementia of the Alzheimer’s type10. DPL is postulated to exert its therapeutic effect by enhancing cholinergic function. This is accomplished by increasing the concentration of acetylcholine (ACh) through reversible inhibition of its hydrolysis by AChE.
Currently, tablets or capsules (5 or 10 mg/day) of DPL are available in the market for oral delivery. But these dosage forms provide non targeted delivery resulting in numerous gastrointestinal side effects such as diarrhoea, nausea, anorexia, gastric bleeding, muscle convulsions etc11. Another limitation of oral delivery is restricted entry of DPL into brain due to its hydrophilicity (freely soluble in water) 12, thereby entailing frequent dosing resulting in severe cholinergic side effects. As per the previous findings, DPL exhibited hepatotoxicity (but less as related to its processor tacrine) and undergo first pass metabolism, again a restraint for oral delivery.
Fig. 1: Structure of donepezil
As a result of above mentioned conditions, it will be beneficial to formulate a non-oral delivery system of DPL to restrict the side effects associated with oral delivery, prevention of systemic exposure as well as distribution of drug to non-targeted sites. As the target site for DPL is brain, thereby developed system should also provide the therapeutic concentration of drug at the site of action. Consequently, intranasal route was selected for the delivery of DPL to target site (brain) in the form of solid lipid nanoparticles. Moreover, DPL possess acceptable log p value (4.14), molecular weight (379.492 g mol-1) and small dose (5-10 mg/day) necessary for brain targeting by means of intranasal administration.
In the present study, Glyceryl behenate based SLNs containing DPL were developed for brain targeting via nasal route. The applicability of Glyceryl behenate as a lipid for brain delivery is already reported by Jose and co-workers13. SLNs were evaluated for particle size, poly dispersity index (PDI), zeta potential, entrapment efficiency (%), drug loading (%) and in vitro release. In vivo studies were performed on albino wistar rat model. Stability studies were performed by storing the optimized formulation at 4±2 °C (refrigerator), 25±2 °C /60 ±5% RH and 40±2 °C /75±5% RH up to six months.
MATERIALS AND METHODS:
Materials:
DPL was received as a gift sample from Jubilant Life Sciences, Noida, India. Glyceryl behenate (Compritol ATO 888), and Glyceryl palmitostearate (Precirol ATO 5) were obtained as a gift sample from Gattefosse, Witten, Germany. Stearic acid, Palmitic acid, Acetonitrile (ACN), Triethylamine (TEA), o-Phosphoric acid (o-PA), Tween 80 and Poloxamer 188 along with all other chemicals were purchased from Sigma-Aldrich, New Delhi, India. Dialysis membrane (molecular weight cut off 12000–14000 D), Membrane filter and Syringe filter (0.22 µm) were purchased from HiMedia Laboratories Pvt. Ltd., Mumbai, India. ACN, TEA, o-PA were of HPLC grade while all other solvents and chemicals used were of analytical grade.
Methods:
Selection of Lipid:
Solubility of drug in melted lipid is one of the most important factors that determine the encapsulation efficiency of the drug in the lipid. However, equilibrium solubility studies cannot be carried out in this case. Hence, we used a modified method to identify the solid lipid having better solubilisation potential for drug14. Glyceryl behenate, glyceryl palmitostearate, stearic acid and palmitic acid were screened for their potential to solubilise DPL.
DPL (20 mg) was taken in screw capped vial. The solid lipids were separately heated above their melting point. These lipid melts were gradually added in portions to the vial containing DPL with continuous stirring using vortex mixer and maintaining the same temperature (above the melting point of lipid). The end point of the solubility was the formation of clear, pale yellow solution of molten lipid. The amount of molten lipid required to solubilise the DPL was noted visually. The experiment was perform in triplicate (n=3).
Preparation of DPL Loaded SLNs:
In a preliminary laboratory study, various factors like drug to lipid ratio (1:4, 50 mg: 200 mg), surfactant concentration (Tween 80: Poloxamer 188, 2 % w/v), chloroform: ethanol ratio (1:1, 5% v/v) as the solvent for drug and lipid, homogenization time (30 min), stirring time (2.5 h) and stirring speed (2500 rpm), sonication time (5 min) were fixed and their effect on particle size, entrapment efficiency were observed. Factors like drug to lipid ratio, surfactant concentration, and stirring speed were further optimized in this study. All experiments were performed in triplicate and averages were considered as the response. Table1 shows the composition of various batches.
DPL- loaded SLNs (DPL-SLNs) were prepared by solvent emulsification–diffusion technique8. Accurately weighed lipid (200 mg) was dissolved in mixture of ethanol and chloroform (1:1, 5ml) as the internal oil phase. Drug (50 mg) was dispersed in the above solution. This reaction mixture was heated above the melting point of lipid (700C). This organic phase was then poured drop by drop into a homogenizer tube containing 20 ml of hot aqueous surfactant solution of tween 80: poloxamer 188 (1:1, 2.25 %). The mixture was then homogenized (Remi Instruments Pvt. Ltd, India) for 30 min at 3,000 rpm to form primary emulsion (o/w). The above emulsion was poured into 80 ml of ice-cold water (2-30C) containing surfactant (mixture tween 80: poloxamer 188 in 1:1 ratio, 2.5 %) followed by stirring to extract the organic solvent into the continuous phase and for proper solidification of SLNs. The stirring was continued (2.75 h) at 3,000 rpm to get SLN dispersion. The dispersion was then centrifuged (Remi Instruments Pvt, Ltd, India) at 18,000 rpm (20 min) to separate the solid lipid material containing the drug. These SLNs were washed with deionized water and then re-dispersed in aqueous surfactant mixture (Tween 80: Poloxamer 188, 1:1) and sonicated for 5 min (1 cycle, 100 % amplitude, Bandelin sonoplus, Germany) to obtain the SLN dispersion of uniform size.
Table 1: Composition of various batches of DPL-SLNs
Formulation code |
Variables |
||||
Drug (mg) |
Lipid (mg) |
Surfactant % (w/v) |
Stirring time (h) |
Stirring Speed (rpm) |
|
DPL1 |
50 |
200 |
2 |
2.5 |
2500 |
DPL2 |
50 |
250 |
2 |
2.5 |
2500 |
DPL3 |
50 |
200 |
2.25 |
2.5 |
2500 |
DPL4 |
50 |
200 |
2 |
2.75 |
2500 |
DPL5 |
50 |
200 |
2.25 |
2.75 |
2500 |
DPL6 |
50 |
200 |
2.25 |
2.75 |
3000 |
Evaluation of Optimized Formulation:
Optimized DPL-SLN formulation (DPL6) was characterized for the following parameters:
Particle size, zeta potential and morphological study:
Average particle size, PDI and zeta potential were measured by photon correlation spectroscopy (PCS; Zetasizer, HAS 3000; Malvern Instruments, Malvern, UK). Measurements were carried out at an angle of 90 degrees at 250C. Surface morphology of optimized SLN formulation was done by using transmission electron microscope (TEM, Philips CM 10, Holland). To perform the TEM observation , SLNs dispersion ( approx 10 µl) were dropped on a 300 mesh copper grid coated with carbon film, allowing sitting for 10 min until air-dried. After complete drying, the sample was stained with 2% w/v phosphotungstic acid solution several times and dried at room temperature. Digital micrograph and soft imaging viewer software were used to perform the image capture and analysis.
Determination of drug loading (%) and entrapment efficiency (%):
A fixed quantity of DPL-SLNs dispersion (10 mL) was centrifuged (Remi Instruments, Pvt. Ltd, India) at 18,000 rpm for 20 min at 20 °C. The supernatant was analyzed spectrophotometrically at λmax 270.5 nm (Shimadzu 1800, Japan) for determination of unencapsulated drug15. The drug loading (%) and drug entrapment efficiency (%) were calculated by using equation (1) and (2).
(Wt – Ws)x 100
Drug loading (%) =----------------------- (1)
(Wt – Ws + WL)
Where Wt is the total weight of drug used, Ws is weight of drug in the supernatant, and WL is the weight of the lipid used in preparing the SLNs.
Differential Scanning Calorimetry (DSC) analysis:
The thermograms of drug, lipid and optimized DPL-SLNs were recorded with DSC (Pyris 6 DSC Perkin Elmer, CT, USA) under an inert atmosphere. Sufficient amount of samples (5 mg) were loaded into an aluminium pan and an empty aluminium pan was used as a reference. Samples were heated at a scanning rate of 10 °C/min over a temperature range of 40–300 °C and the thermograms were recorded16.
In vitro release and release kinetic studies:
In vitro release studies from DPL-SLNs were carried out to evaluate the release of drug from the optimized formulation and comparing it with the pure drug. It was performed by dialysis bag diffusion technique employing a dialysis membrane17. An accurate amount of DPL-SLNs and DPL solution (DPL-Sol.) each containing the drug equivalent to 5 mg was transferred to dialysis bag and sealed at both ends. The sealed bag was then suspended in a beaker containing 100 mL of phosphate buffer (pH 7.4, corresponding to cerebrospinal fluid pH) and stirred at a constant speed (50 rpm) at 37±0.5 °C. Aliquots (5 mL) were withdrawn at predetermined time intervals up to 24 h from receiver compartment (beaker) and replaced with an equal volume of fresh medium to maintain sink condition. The samples were analyzed spectrophotometrically at λmax of 270.5 nm.
In vitro release data of optimized formulation was fitted to zero order, first order and Higuchi release model17. To find out the mechanism of drug release, data was fitted in Korsmeyer–Peppas model (Mt/M∞=Ktn) and value of n (exponent) was determined.
Stability studies:
The stability studies were carried out to determine the effect of the presence of formulation additives on the stability of drug and also to determine the physical stability of the prepared formulation under conditions of storage temperature and relative humidity17.
The optimized DPL-SLNs were subjected to stability studies and the studies were performed in triplicate. The storage conditions used for stability testing were 4±2 0C (refrigerator), 25±2 0C /60 ±5 % RH, 40±2 0C /75 ±5 % RH in stability chamber (Hicon instruments, N. Delhi). The samples were withdrawn after a period of 0, 1, 3 and 6 months and effect on particles size, PDI, zeta potential, entrapment efficiency, loading capacity was determined.
In vivo studies:
In vivo studies of optimized DPL- SLNs and DPL-Sol. were performed on male albino wistar rats (Adult/weighing 200-250 g). A protocol for studies was approved by Institutional Animal Ethical Committee (IAEC). The animals were kept under standard laboratory conditions i.e. temperature of 22±3°C and relative humidity of 30%–70%. The animals were housed in polypropylene cages, 6 animals per cage with free access to standard laboratory diet and water ad libitum.
Pharmacokinetic studies:
To conduct pharmacokinetic studies, rats were divided in three different groups: Group A, positive control for intravenous (i.v.) drug administration (DPL-Sol.); Group B, positive control for intranasal (i.n.) drug administration (DPL-Sol.); and Group C for intranasal (i.n.) SLN formulation administration (DPL-SLNs). Each group was divided into 7 subgroups on time basis as given below and each subgroup contained 6 animals.
Subgroup 1: drug was administered at time 0 and sacrifice was done after 0.5 h
Subgroup 2: drug was administered at time 0 and sacrifice was done after 1 h
Subgroup 3: drug was administered at time 0 and sacrifice was done after 2 h
Subgroup 4: drug was administered at time 0 and sacrifice was done after 4 h
Subgroup 5: drug was administered at time 0 and sacrifice was done after 6 h
Subgroup 6: drug was administered at time 0 and sacrifice was done after 8 h
Subgroup 7: drug was administered at time 0 and sacrifice was done after 24 h
Procedure of drug administration:
Drug solution (positive control), containing 0.09 mg (for 200 g of rat) of DPL (equivalent to 0.45 mg/kg body weight), was injected through the tail vein (10 µL) in one group of wistar rats. Similarly, drug solution and drug formulation (DPL-SLNs) containing 0.09 mg of DPL were administered in each nostril in the other two groups with the help of micropipette (10–100 µL) with 0.1 mm internal diameter at the delivery site. The rats were anaesthetized prior to nasal administration by pentobarbital sodium (35–50 mg/kg, i.p.) and held firmly from the back in a slanted position during nasal administration.
Blood sampling, separation and processing of brain: The rats were killed humanely by overdose of pentobarbital sodium at different time intervals ( 0.5, 1, 2, 4, 6, 8 and 24 h) and the blood was collected by cardiac puncture in EDTA coated Eppendrof tubes. The blood was centrifuged at 5000 rpm for 15 min and aliquots of the supernatant separated and stored at -21 °C until drug analysis was carried out using High performance liquid chromatography (HPLC)18.
At the same interval of blood collection, the rats were sacrificed and brain separated. The brain was rinsed twice with normal saline to make free from adhering tissue/fluid and weighed. Cold normal saline solution was added (brain weight: normal saline, 1:5) to brain and homogenized on ice. The homogenate was centrifuged at 5000 rpm for 15 min at a temperature of 4 °C and aliquots of the supernatant were separated and stored at–21 °C until drug analysis was carried using HPLC.
Extraction of DPL from plasma and brain: Chromatographic separation was achieved with a Cosmosil C18 column (250 mm×4.6 mm, particle size 5 μm). Before quantification of drug by HPLC, the method was developed and validated. The mobile phase consisted of 0.02 M phosphate buffer (pH 7.4)–methanol–acetonitrile, 40:50:10 v/v/v and the pH was adjusted with o-phosphoric acid. 0.1 % triethylamine was added to reduce tailing. The mobile phase was sonicated for 15 min and filtered through 0.22 μm membrane filter before use. Flow rate of mobile phase was maintained at 1.2 mL/min and eluents were monitored at 280 nm. 20 μL of sample was injected using a HPLC injector. All determinations were performed at ambient temperature for a run time of 10 min. The method was linear in drug concentration range of 25-600 ng/ml with a correlation coefficient of 0.992. % RSD value of intraday and interday precision was found to be 0.73-1.27 and 0.85-1.89 respectively. The accuracy (recovery) of the developed method was 97.68%-102.39%.
For the determination of DPL, plasma sample and homogenized brain tissues (100 µL) were taken in test tube separately and mixed with 20 µL (1µg/mL) internal standard (Ondansetron) solution. The tubes were vortexed (S.M. scientific instruments Pvt. Ltd., Delhi, India) and 4 ml of 1% acetic acid was added. The content of each tube was vigorously shaken for 10 min and then centrifuged at 5000 rpm until a clear organic layer was separated (approximately 5 min). Organic layer from each tube was evaporated to dryness at room temperature. After complete removal of organic solvent, the dried samples were then reconstituted separately with 100 µL of mobile phase and evaluated by HPLC for the presence of DPL.
Analysis of pharmacokinetic parameters:
Plasma concentration–time profiles of DPL after i.n. and i.v. delivery were evaluated by pharmacokinetic software (PK Functions for Microsoft Excel, Pharsight Corporation, Mountain View, CA, USA). Various pharmacokinetic parameters as Cmax (Peak of maximum concentration), Tmax (Time of peak concentration), AUC0-∞ (Area under the curve from time 0 to time infinity), AUMC0-∞ (Area under the first movement curve from time 0 to time infinity), Ke (Elimination rate constant) and MRT (Mean residence time) were calculated. The data was statistically compared by one way ANOVA.
Brain targeting studies:
The extent of nose-to-brain delivery, bypassing the BBB, due to direct connection between the nose and the brain via the olfactory region of the nasal cavity could be evaluated by many parameters19 (i) The brain/blood ratio, at 0.5 h, following intranasal and intravenous administration (ii) The relative bioavailability (RB) percentage following the intranasal administration in the blood and brain (iii) The drug targeting index (DTI) (iv) The drug targeting efficiency (DTE) percentage and (v) The nose-to-brain direct transport percentage (DTP)20. All five parameters were determined to check the authenticity of developed formulation for brain targeting.
RESULTS AND DISCUSSION:
Selection of Lipid:
Excipients used for the formulation development should be pharmaceutically acceptable, non-irritant and non-sensitizing in nature. They should be generally regarded as safe (GRAS). For the SLNs development selection of suitable lipid and surfactant is important. Solubility of drug in the lipid is a determinant of encapsulation efficiency of the lipid nanoparticles. It is expected that high lipid solubility can result in high encapsulation efficiency17, 21.
Result of solubility study indicated that amongst the Glyceryl behenate, glyceryl palmitostearate, stearic acid and palmitic acid, the Glyceryl behenate effectively solubilised the DPL (Table 2). The applicability of Glyceryl behenate in brain drug delivery had been already reported by Jose and co-workers13.
Table 2: Solubility of DPL in various lipids
Lipid |
Melting point of lipid (°C) |
Amount(mg) of lipid required to solubilize 20 mg DPL # |
Glyceryl behenate |
70 |
52.83± 7.24* |
Precirol ATO 5 |
56 |
61.38± 4.26** |
Palmitic acid |
63 |
131.93± 3.17*** |
Stearic acid |
69 |
148.74± 7.93 *** |
#Values are mean± SD, n=3, SD= Standard deviation, *P < 0.05 versus Glyceryl behenate, **P< 0.01versus Glyceryl behenate,
***P< 0.001versus Glyceryl behenate, *P < 0.05 results are significant, **P< 0.01 results are moderately significant,
***P < 0.001 results are highly significant
Preparation of SLNs:
Various batches of SLNs were prepared by modified solvent emulsification diffusion technique according to table 1 and various observed responses are given in table 3.
Evaluation of Optimized Formulation:
Optimized DPL-SLN formulation (DPL6) was evaluated for different parameters with following results:
Particle size, zeta potential and morphological study:
Particle size distribution and zeta potential curve of optimized formulation (DPL6) are shown in Fig. 2a and 2b respectively. The mean particle size of different batches of SLNs ranges from 99.42±7.26nm to 217.19±23.49 nm (Table 3). The average particle size of optimized formulation was 99.42±7.26nm which was found to be suitable for brain targeting through nasal route. All batches had particles in the nano range which is well evident from the values of PDI (Polydispersity index). PDI value of optimized formulation was found be 0.173 indicating uniformity in particle size of developed SLNs22. The zeta potential indicates the degree of charge present on suspended particles in SLNs dispersion. A suitably high value of zeta potential (+ 30 mV to -30 mV) confers stability because particles resist aggregation. The value of zeta potential (-24.5 mV) of optimized SLN formulation indicated good stability23, 24. TEM image (Fig. 2c) indicated a dense roughly spherical pattern of optimized SLNs. The result of particle size was found to be in good agreement with the result established by TEM study.
(a) Particle size distribution curve
(b) Zeta potential curve and
(c) TEM image of optimized formulation
Fig. 2:
Drug loading (%) and entrapment efficiency (%):
The entrapment efficiency and drug loading of optimized formulation were found to be 67.95±1.58 % and 12.15±0.98 % respectively (Table 3).
Table 3: Observed responses of various batches
Formulation code |
Responses |
||||
Particle size (nm) |
PDI |
Zeta potential (mV) |
Entrapment efficiency (%) |
Drug loading (%) |
|
DPL1 |
160.28±15.73 |
0.319 |
-21.95 |
67.63±1.17 |
14.46±0.25 |
DPL2 |
217.19±23.49 |
0.412 |
-19.74 |
64.37±2.89 |
11.40±0.51 |
DPL3 |
125.61±13.59 |
0.237 |
-22.37 |
69.23±1.65 |
14.75±0.35 |
DPL4 |
140.74±9.82 |
0.286 |
-20.82 |
66.18±1.02 |
14.20±0.22 |
DPL5 |
113.91±12.58 |
0.211 |
-22.97 |
69.29±2.54 |
14.76±0.54 |
DPL6 |
99.42±7.26 |
0.173 |
-24.5 |
69.74±1.97 |
14.85±0.42 |
*Values are mean ± SD, n=3
DSC analysis:
The DSC thermogram of drug (DPL) showed a melting peak of 210°C while lipid (Glyceryl behenate) and optimized DPL-SLNs showed at 69.50 °C and 64.30 °C respectively (Fig. 3). The thermogram of drug incoporated SLNs did not show the melting peak of crystalline DPL around 210°C, pinpointing complete solubilization of drug inside the lipid matrix and being in amorphous form. Similar finding were observed by Tayade and Kale25. Decline in melting peak of lipid in SLNs by 5.20 °C suggested its possible existence in crystalline form. Similar findings were observed by Heike and co-workers26.
Fig. 3: DSC thermogram of (a) DPL (b) Glyceryl behenate (c) Optimized DPL-SLNs
In vitro release and release kinetic studies:
Optimized formulation (DPL6) was subjected for In vitro release study. The dissolution profile from DPL-SLNs indicated an initial burst release, followed by slow release (Figure 4a). The initial burst release may be attributed to the presence of free drug in the external phase and adsorbed drug onto the surface of particles, while the slow release may be owed to the encapsulated drug within the lipid matrix17. The optimized DPL-SLNs showed initial burst release of 30.64±8.78 % after 1 h and thereafter, it exhibited sustained drug release with maximum % cumulative drug release of 96.72 ± 5.89% in 24 h. For optimized formulation (DPL6), Higuchi model was found to be the best fitted model (Table 4 and Fig. 4b, 4c and 4d) with the highest value of correlation coefficient (R2= 0.9504). The value of release exponent “n” was found to be 0.3861, which appears to indicate diffusion controlled release mechanism, so-called Fickian diffusion.
Table 4: Release kinetic models for optimized DPL-SLN formulation
Optimized DPL-SLNs |
Zero order |
First order |
Higuchi Model |
Korsmeyer-Peppas |
||||
R2 |
K0 (h-1) |
R2 |
K0 (h-1) |
R2 |
K0 (h-1) |
R2 |
n value |
|
DPL6 |
0.7521 |
3.4519 |
0.9184 |
0.0557 |
0.9504 |
19.979 |
0.9217 |
0.3861 |
Fig. 4: (a) In vitro drug release from optimized DPL- SLNs and DPL-Sol (b) Zero order release model (c) First order release model (d) Higuchi model
Stability studies:
No significant (P<0.05) change was observed in particle size of DPL-SLN formulation when it was stored at 4± 2 °C (refrigerator) and 25±2 °C /60 ±5% RH up to six months, but the particle size increased significantly (P ˂ 0.001) when it was stored at 40±2 °C /75 ±5% RH due to aggregation. The average particle size after 6 months at 40±2 °C /75 ±5% RH was found to be 2134.47 nm while the value of PDI was 0.745. Zeta potential plays an important role in physical stability. There was no significant change observed in zeta potential of SLN formulation when they were stored at 4±2 °C (refrigerator) and 25±2 °C /60 ±5% RH up to six months but a significant drop in zeta potential at 40±2 °C /75 ±5% RH (P < 0.001) was found to be a function of time and temperature. This might be due to the fact that at high temperature and relative humidity, the outer surfactant coating get dissolved leading to aggregation of lipid nanoparticles. The entrapment efficiency (%) and drug loading (%) were also reduced with time but no significant difference (P < 0.05) was observed17.
In vivo studies:
In vivo studies involved pharmacokinetic studies and brain targeting studies.
Pharmacokinetic studies:
Various pharmacokinetic parameters were calculated by using PK Functions for Microsoft Excel (Pharsight Corporation, Mountain View, CA, US) as shown in Table 5. The lower value of Tmax for brain (2 h) as compared to blood (4 h) may be attributed to the preferential nose to brain transport following i.n. administration. The significantly (p< 0.05) higher value of Cmax (125.75± 10.84 ng/mL) was obtained for DPL-SLNs administered intranasally as compared to DPL-Sol. administered intranasally (30.61± 5.32 ng/mL) and DPL-Sol. administered via intravenous route (23.47± 2.36 ng/mL). This might be due to retention ability of SLNs as compared to DPL-Sol. Similar finding was reported by Jose and co-workers who studied targeting of resveratrol loaded SLNs after intranasal administration13. The value of AUC0-∞ in brain for DPL-SLNs administered intranasally was found to be nearly 1.97 times higher than that of DPL-Sol. administered through i.v. route, whereas 1.63 times higher than DPL Sol. administered intranasally. This might be due to direct transport of drug to brain via olfactory pathway.
Table 5: Pharmacokinetic parameters of DPL in brain and plasma after DPL-SLNs i.n., DPL-Sol.i.n. and DPL-Sol.i.v. administration to rats.
P’kinetic parameters |
Type of formulation/route of administration |
|||||
DPL-SLNs i.n.* |
DPL-Sol i.n.# |
DPL-Sol i.v. |
||||
Brain |
Plasma |
Brain |
Plasma |
Brain |
Plasma |
|
Cmax(ng/mL) |
125.75± 10.84 |
184.37± 15.98 |
30.61± 5.32 |
120.53± 13.86 |
23.47± 2.36 |
523.26± 25.38 |
Tmax (h) |
2 |
4 |
4 |
0.5 |
2 |
0.5 |
AUC0-∞ ng∙h/mL) |
532.11± 15.73 |
881.16± 23.83 |
269.32± 11.98 |
820.60±30.64 |
325.28± 15.85 |
1555.39±50.26 |
AUMC0-∞ (ng∙h2/mL) |
3970.34± 51.73 |
7335.96± 27.63 |
3127.29 ±117.34 |
5665.86± 198.14 |
6533.35± 346.47 |
10038.39± 573.12 |
Ke (h-1) |
0.11± 0.001 |
0.089± 0.002 |
0.08 ±0.01 |
0.12 ±0.02 |
0.045 ±0.03 |
0.14 ±0.02 |
MRT (h) |
8.07± 0.072 |
5.83± 0.03 |
7.08± 0.32 |
6.24± 0.24 |
8.71± 0..45 |
4.91± 0.03 |
RB (%)a |
197.57± 12.53 |
107.38± 9.72 |
|
|
|
|
Values are mean ± SD, n=6, a relative to DPL-Sol. i.n., *𝑃 ˂ 0.05 versus DPL-Sol. i.n. *𝑃 ˂ 0.05 versus DPL-Sol. i.v., #P< 0.05 versus DPL-Sol. i.v.
Brain targeting studies:
The extent of nose to brain delivery was evaluated by the following parameters
a) The brain/blood ratio, at 0.5 h, was found to be 1.6, 0.174 and 0.02 for DPL-SLNs i.n., DPL-Sol. i.n. and DPL-Sol. i.v. respectively (Table 6). The significantly higher brain/blood ratio for DPL-SLNs indicated the brain targeting potential of developed SLNs.
b) Compared to DPL-Sol. administered intranasally, the % relatively bioavailability of DPL-SLNs i.n., in blood and brain were 107.38± 9.72 and 197.57± 12.53 respectively (Table 5). The results revealed a significant (P< 0.05) enhancement in bioavailability of DPL in the brain following the intranasal administration of DPL-SLNs. These findings are in line with Abdelbary and co-workers 19 who found that micellar nanocarriers increases the relatively bioavailability of olanzapine administered intranasally.
c) The value of DTI, DTE and DTP for DPL-SLNs and DPL-Sol. were found to be 2.89, 288.75 % and 65.37 % and 1.57, 156.94 % and 36.28 % respectively (Table 6). The DTI values >1 could confirm the direct pathway from nose to brain. These findings were in line with Jain and co-workers27,28. Finally, it was concluded that the higher value of DTI, DTE (%) and DTP (%) speculate better brain targeting efficiency with DPL-SLNs compared to DPL-Sol. i.n. and DPL-Sol. i.v.
Table 6: Results of Brain/Blood Ratio at 0.5 h, DTI, DTE (%) and DTP (%).
Formulation and route of administration |
Brain/blood ratio at 0.5 h |
DTI |
DTE (%) |
DTP (%) |
DPL- SLNs i.n. |
1.60 |
2.89 |
288.75 |
65.37 |
DPL-Sol. i.n. |
0.174 |
1.57 |
156.94 |
36.28 |
DPL-Sol. i.v. |
0.02 |
- |
- |
- |
CONCLUSION:
DPL loaded SLNs were developed successfully and evaluated for various in vitro and in vivo parameters. All the parameters were found to be in acceptable range. Result of in vitro release study revealed that optimized DP-SLN formulation exhibited sustained release pattern. Stability studies revealed no significant change in the particle size, zeta potential, entrapment efficiency and drug loading at 4±2 °C (refrigerator) and 25±2 °C /60 ±5% RH up to six months. The shelf life of optimized DPL-SLN was found to be 2.63 years. Pharmacokinetic and brain targeting studies in rats revealed significantly high concentration of drug in brain upon i.n administration of DP-SLNs as compared DPL-Sol. Thus, this study demonstrated the utility of SLNs for the delivery of DPL to brain via i.n. route.
ACKNOWLEDGEMENTS:
Authors acknowledge Research Assistantship from I.T.S College of Pharmacy, Muradnagar, Ghaziabad, UP, India, for carrying out this research work.
CONFLICT OF INTEREST:
All authors declare that there is no conflict of interest between them.
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Received on 23.02.2018 Modified on 11.03.2018
Accepted on 20.04.2018 © RJPT All right reserved
Research J. Pharm. and Tech 2018; 11(7): 2836-2844.
DOI: 10.5958/0974-360X.2018.00523.1