Liposomal drug delivery of Aphanamixis polystachya leaf extracts and its neurobehavioral activity in mice model.

Neurodegenerative diseases (Alzheimer's, Parkinson's etc.) causes brain cell damage leading to dementia. The major restriction remains in delivering drug to the central nervous system is blood brain barrier (BBB). The aim of this study was to develop a liposomal drug delivery system of Aphanamixis polystachya leaf extract for the treatment of neurodegenerative diseases such as Alzheimer's and Parkinson's disease. In this study GC-MS analysis is used to determine major constituents of Aphanamixis polystachya leaf extract. Liposomal batches of Aphanamixis polystachya leaf extract was prepared using design of experiment (DoE) and characterized using Malvern zetasizer, transmission electron microscopy (TEM), and FT-IR. Stability study of blank and leaf extract loaded liposome were performed in gastric media. In-vivo neurobehavioral and anti-inflammatory studies were performed on mice and rat model respectively. GC-MS data showed that major constituents of Aphanamixis polystachya leaf extract are 2-Pentanone, different acids (Octadec-9-enoic acid, 5-Hydroxypipeloic acid etc.), and Beta-Elemene etc. Malvern Zetasizer and TEM data showed that liposome batches of Aphanamixis polystachya leaf extract were in the range of 120 - 180 nm. Interactions between process parameters and material attributes found to have more impact on the average particle size and polydispersity of liposome batches compared to the impact of each parameter in isolation. Stability studies data suggest that blank and leaf extract loaded liposomes were stable at gastric conditions after 4 hours. In-vivo neurobehavioural study data indicated that significant improvement in the memory function, locomotor activity and ambulatory performance of dementia induced mice was observed for the liposomal batches compared to merely A. polystachya leaf extract.

In vitro dissolution and bioavailability study of furosemide nanosuspension prepared using design of experiment (DoE).

BACKGROUND: Nanotechnology can offer the advantages of increasing solubility and bioavailability of delivering drugs like Furosemide. The aim of the current study is to investigate the in vitro and in vivo performance of furosemide nanosuspensions. METHODS: Furosemide nanosuspensions were prepared by antisolvent precipitation method using full factorial experimental design. Four factors were employed namely; Stirring time, Injection rate, antisolvent: solvent ratio & stabilizer: drug ratio (at two levels = high & low). The in vitro dissolution experiments were conducted to compare the representative formulation with raw drug powder. The bioavailability of nanosuspension was, also, evaluated in mice as an animal model. RESULTS: Solid state characterization (PXRD, DSC and FESEM) did show physical changes during preparation and optimization of the furosemide nanosuspensions. Individual material attributes showed more significant impact on the average particle size of the nanocrystals compared to process parameters. Two-way interactions between material attributes and process parameters significantly affected nanosuspension particle size distribution. Dissolution rate of furosemide nanosuspemsion was significantly higher than that observed for raw furosemide powder. The in vivo pharmacokinetics parameters of nanosuspension in comparison to pure drug showed significant increase in Cmax and AUC(0-t), about 233% and 266%, respectively. The oral bioavailability of furosemide from nanosuspension was about 2.3 fold higher as compared with the bioavailability from pure drug. CONCLUSIONS: Furosemide nanosuspensions prepared using antisolvent precipitation method enhanced the dissolution rate and oral bioavailability compared to raw furosemide powder.

Preparation and Characterization of Stable Nanosuspension for Dissolution Rate Enhancement of Furosemide: A Quality by Design (QbD) Approach.

BACKGROUND: Nano drug delivery systems have the potential to address the challenges of delivering BCS Class II and IV drugs like furosemide. The purpose of the current study is to prepare stable nanosuspension and investigate in vitro dissolution performance of the model compound furosemide using quality by design (QbD) approach. METHODS: Nanosuspension batches with uniform particle size were prepared for furosemide using the antisolvent precipitation method. A quality by design (Qbd) approach was explored to understand the impact of process parameters (stirring time, stirring speed, temperature, and injection rate) and material attributes (drug concentration, stabilizer type, drug: stabilizer ratio, and antisolvent: solvent ratio) on the quality attributes of furosemide nanosuspension using a full factorial experimental design. Multiple linear regression and ANOVA were employed to estimate and identify the critical process parameters and material attributes. Injection rate and stirring time were identified as the most critical process parameters' affecting the quality attributes of furosemide nanosuspension. RESULTS: Individual material attributes did not show significant impact on the average particle size of the nanocrystals, however two-way interactions between material attributes (stabilizer type/drug concentration and stabilizer type/antisolvent: solvent ratio) significantly affected nanosuspension particle size distribution. Solid state characterization (PXRD, DSC and SEM) did not exhibit any changes of physical form during preparation and optimization of the furosemide nanosuspension. Dissolution of the furosemide nanocrystals in gastric media was significantly higher than that observed for micronized furosemide suspension and raw furosemide powder. Stability study data suggests that optimized batches of furosemide nanosuspensions were stable for three months at 4°C and ambient conditions. CONCLUSION: The antisolvent precipitation method can produce stable furosemide nanosuspensions with desirable quality attributes and enhancement of dissolution rate in the gastric medium as compared to the raw furosemide powder and microsuspension.

The impact of formulation attributes and process parameters on black seed oil loaded liposomes and their performance in animal models of analgesia.

This study aimed to formulate black seed oil (Nigella sativa) loaded liposomes using the ethanol injection method to enhance oral bioavailability and improve therapeutic activity in small animal studies of analgesia. The impact of formulation attributes and process parameters on the liposomal system was evaluated with key quality attributes being particle size, morphology, and entrapment efficiency. The particle size and entrapment efficiency of the liposome preparation were found to be between the range of 50-900 nm and 34-87% respectively. Particle size distribution data suggested that increasing the percentage of oil, up to a certain concentration, reduced the size of the liposomes significantly from 520 ± 81.2 nm to 51.48 ± 1.31 nm. Stirring and injection rate were shown to have marked impact on the average particle size of liposome. It was observed that entrapment efficiency of liposomes was greatly influenced by the amount of cholesterol and type of cryoprotectant used during formulation. The stability study indicated that the liposomal preparation was stable at ambient conditions for one month. In vivo studies showed that the liposomal preparation demonstrated significant analgesic activity in mice.

Influence of solvent on the morphology and subsequent comminution of ibuprofen crystals by air jet milling.

Crystal morphology plays an important role in drug processing and delivery, which may be controlled during crystallisation. In this study, ibuprofen particles with different size and morphology were produced by controlled crystallisation in order to evaluate their impact on particle size reduction. Results suggest that the micronisation behaviour of ibuprofen was markedly influenced by the morphology and size of starting materials. It was possible to reduce the size of ibuprofen particles to sizes less than 5 µm during dry milling, which is markedly below the reported brittle-ductile transition size. Results also indicate that the particle size reduction mechanism is influenced by the size and morphology of the starting ibuprofen crystals. Dissolution behaviour of ibuprofen was shown to be influenced by the solid surface chemistry of micronised drug particles. The molecular modelling study provided deeper understanding of the experimental findings observed in this study.