Abiraterone acetate (ABA), a biopharmaceutical class IV drug suffers from solubility and permeability pitfalls resulting in limited oral bioavailability and positive food effect, i.e. multi-fold enhancement in drug absorption in the presence of food. This poses difficulties to physicians towards the estimation of dose and dosage regimen required for efficacious therapy of prostate cancer (PCa). Nanostructured lipid carriers (NLC) have demonstrated tremendous outcomes in enhancing the oral bioavailability of various entities along with food effect attenuation. In this study, Quality by design and multivariate analysis was employed for optimization of ABA loaded NLC (ABA NLC). The optimal size, PDI and zeta potential obtained using QbD were 134.6 nm, 0.163 and -15.7 mV respectively. Ex vivo qualitative and quantitative intestinal permeability studies demonstrated improved traversion of NLC through the intestinal segments. In vitro dissolution profile in biorelevant fast and fed gastric and intestinal media revealed minimal differences for ABA NLC compared to ABA. In vivo pharmacokinetics was performed to decipher the efficacy of ABA NLC in mitigating the food effect of ABA. The studies demonstrated 14.51-fold and 1.94-fold improvement in oral bioavailability during fasted and fed state respectively as compared to free ABA. The absorption mechanism of ABA NLC using chylomicron flow blocking approach conveyed lymphatic uptake as the major mechanism. Cmax fast/fed ratio was 0.9758 whereas, AUC fast/fed ratio was 0.9386, which being nearly equivalent, confirmed the food effect attenuation. Therefore, the results of the study demonstrate optimal pharmacokinetics of ABA NLC and its utility in circumventing the fast fed variability.

Mifepristone, a progesterone receptor antagonist, was initially used to terminate early pregnancy. As scientific research advanced, it emerged to be effective in the treatment of various tumors and tumor-like conditions such as endometriosis. Despite the therapeutic potential of mifepristone, its therapeutic effect is still far from ideal because the drug is difficult to dissolve and to accumulate in the target tissue sites. To address this issue, mifepristone-loaded nanostructured lipid carriers (Mif-NLC) were prepared by a simple solvent diffusion method and their anti-endometriosis performance and mechanisms were initially investigated. By optimizing the preparation protocol, we obtained uniform and spheroidal Mif-NLC with an average particle size of 280 nm. The encapsulation rate and drug loading capacity were 64.67% ± 0.15% and 2.7% ± 0.014%, respectively, as measured by UV spectrophotometry. The in vitro release kinetics indicated that mifepristone was released from NLC in a sustained-release manner. Compared with free mifepristone, Mif-NLC exhibited enhanced cellular uptake and inhibition of invasion activity in primary mesenchymal cells of endometriosis. A certain reduction in the size of endometriotic cysts was observed in animals compared to controls. The induction of autophagy via Mif-NLC may serve as the molecular mechanism underlying this effect. Furthermore, observation of uterine structures showed negligible toxic effects. This suggested that mifepristone encapsulated in NLC can improve its bioavailability and anti-endometriosis efficacy, which provided a new strategy for the treatment of endometriosis.

Doxepin, a Class-I Biopharmaceutics Drug Disposition Classification System (BDDCS) drug, exhibits poor bioavailability due to extensive first-pass metabolism. This research focuses on enhancing the delivery of doxepin by formulating nanostructured lipid carriers (NLCs) through the utilization of the Box-Behnken Design methodology. These optimized NLCs are intended for intranasal administration, with the ultimate goal of improving nose-to-brain drug delivery. NLCs were formulated using a high-speed homogenization technique. The optimized batch had a small particle size (75.80 ± 5.48 nm, PDI = 0.286), high entrapment efficiency (94.10 ± 0.16%), and sustained ex vivo release (82.25 ± 4.61% at 24 h). Characterization studies confirmed the conversion of doxepin from a crystalline to an amorphous state with uniform distribution in the lipid matrix. In vivo pharmacokinetic studies in rats showed significantly higher doxepin concentration in the brain tissue (Cmax = 16.77 µg/g, tmax = 30 min) after intranasal administration compared to intravenous administration (Cmax = 2.53 µg/g, tmax = 6 h). High-drug targeting efficiency (DTE = 284.3%) and direct transport percentage (DTP = 64.8%) suggested direct penetration of NLCs in the brain via olfactory and trigeminal pathways. In conclusion, the study highlights the potential of NLCs to improve the bioavailability of doxepin through nose-to-brain delivery and thereby potentially enable the treatment of neurological disorders.

This chapter provides an overview of the diverse range of applications associated with nanoparticles. The application of nanoparticles in the medical field has garnered considerable attention due to their unique properties and versatile compositions. They have shown promise in the treatment of cancer, fungal and viral infections, and pain management. These systems provide numerous benefits, such as increased drug stability, improved bioavailability, and targeted delivery to specific tissues or cells. The objective of this chapter is to provide a brief analysis of the differences between nanoparticles and lipid particles, focusing particularly on the importance of nanoparticle size and composition in their interactions with lipids. Additionally, the applications of nanoparticles in lipid signaling will be discussed, considering the vital roles lipids play in cellular signaling pathways. Nanoparticles have shown immense potential in the regulation and control of medical pathways. In this case, we will focus on the manufacture of liposomes, a type of nanoparticle composed of lipids. The reason behind the extensive investigation into liposomes as drug delivery vehicles is their remarkable biocompatibility and adaptability. This section will provide insights into the methods and techniques employed for liposome formulation.

UNASSIGNED: Nintedanib (NTB) is a multiple tyrosine kinase inhibitor, been investigated for many disease conditions like idiopathic pulmonary fibrosis (IPF), systemic sclerosis interstitial lung disease (SSc-ILD) and non-small cell lung cancer (NSCLC). NTB is available as oral capsule formulation, but its ability to detect degradants formed through oxidative, photolytic and hydrolytic processes makes it difficult to quantify. In the current work, a novel reversed-phase high-performance liquid chromatography (RP-HPLC) method was developed and validated.
UNASSIGNED: The developed method is simple, precise, reproducible, stable and accurate. The inherent stability of NTB was evaluated using the proposed analytical method approach and force degradation studies were carried out. NTB was separated chromatographically on the Shimadzu C 18 column as stationary phase (250 ×4.6 mm, 5 µm) using an isocratic elution method with 0.1% v/v triethyl amine (TEA) in HPLC grade water and acetonitrile (ACN) in the ratio 35:65% v/v. The mobile phase was pumped at a constant flow rate of 1.0 ml/min, and the eluent was detected at 390 nm wavelength.
UNASSIGNED: NTB was eluted at 6.77±0.00 min of retention time (t R) with a correlation coefficient of 0.999, the developed method was linear in the concentration range of 0.5 µg/ml to 4.5 µg/ml. The recovery rate was found to be in the range of 99.391±0.468% for 1.5 µg/ml concentration. Six replicate standards were determined to have an % RSD of 0.04.
UNASSIGNED: The formulation excipients didn\'t interfere with the determination of NTB, demonstrating the specificity of the developed method. The proposed approach of the analytical method developed can be used to quantify the amount of NTB present in bulk drugs and pharmaceutical formulations.

Alopecia areata affects over 140 million people worldwide and causes severe psychological distress. The Janus kinase (JAK) inhibitor, tofacitinib, shows significant potential in therapeutic applications for treating alopecia areata; however, the systemic adverse effects of oral administration and low absorption rate at the target site limit its application. Hence, to address this issue, we designed topical formulations of tofacitinib-loaded cationic lipid nanoparticles (TFB-cNLPs) with particle sizes of approximately 200 nm. TFB-cNLPs promoted percutaneous absorption and hair follicle targeting in an ex vivo pig ear model. TFB-cNLP decreased IFN-γ-induced alopecia areata symptoms in an in vitro follicle model by blocking the Janus kinase/signal transducers and activators of transcription (JAK/STAT) pathway. It also reduced the number of CD8+NKG2D+T cells in a C3H mouse model of alopecia areata in vivo, thereby inhibiting the progression of alopecia areata and reversing hair loss. These findings suggest that TFB-cNLP enhanced hair follicle targeting and has the potential for topical treatment or prevention of alopecia areata.

Bromocriptine (BCR) presents poor bioavailability when administered orally because of its low solubility and prolonged first-pass metabolism. This poses a significant challenge in its utilization as an effective treatment for managing Parkinson\'s disease (PD). The utilization of lipid nanoparticles can be a promising approach to overcome the limitations of BCR bioavailability. The aim of the research work was to develop and evaluate bromocriptine-loaded solid lipid nanoparticles (BCR-SLN) and bromocriptine-loaded nanostructured lipid carriers (BCR-NLC) employing the Box-Behnken design (BBD). BCR-SLNs and BCR-NLCs were developed using the high-pressure homogenization method. The prepared nanoparticles were characterized for particle size (PS), polydispersity index (PDI), and entrapment efficiency (EE). In vitro drug release, cytotoxicity studies, in vivo plasma pharmacokinetic, and brain distribution studies evaluated the optimized lipid nanoparticles. The optimized BCR-SLN had a PS of 219.21 ± 1.3 nm, PDI of 0.22 ± 0.02, and EE of 72.2 ± 0.5. The PS, PDI, and EE of optimized BCR-NLC formulation were found to be 182.87 ± 2.2, 0.16 ± 0.004, and 83.57 ± 1.8, respectively. The in vitro release profile of BCR-SLN and BCR-NLC showed a biphasic pattern, immediate release, and then trailed due to the sustained release. Furthermore, a pharmacokinetic study indicated that both the optimized BCR-SLN and BCR-NLC formulations improve the plasma and brain bioavailability of the drug compared to the BCR solution. Based on the research findings, it can be concluded that the BCR-loaded lipid nanoparticles could be a promising carrier by enhancing the BBB penetration of the drug and helping in the improvement of the bioavailability and therapeutic efficacy of BCR in the management of PD.

Nanostructured lipid carriers (NLC) have low storage and gastrointestinal stability, limiting their applicability. The work aimed to elevate the stability and behaviour of NLC in the alimentary tract by creating an alginate bead. Through the extrusion dropping procedure, Resveratrol (RES)-loaded NLC were efficiently integrated into alginate beads. The incorporation had no significant impact on the particle size, morphology, or inner structure of NLC, as assessed using DLS (Dynamic Light Scattering), SEM (Scanning Electron Microscopy), Differential Scanning Calorimetry (DSC) and FT-IR (Fourier Transform Infra-Red). Incorporating NLC into alginate beads improves its physical stability compared to dispersion of NLC as well as NLC-Sol. An in vitro release investigation found that the NLC-alginate beads released RES more slowly than optimized NLC formulation (RES-NLCs-opt) and NLC-alginate sol. Research on simulated in vitro digestive models revealed that just a small amount of integrated NLC may permeate stomach fluid due to its tiny size. The slow diffusion of NLC from alginate to intestinal fluid prevented aggregation and allowed for gentle hydrolysis of the lipid matrix. Incorporating NLC in alginate beads shows promise for improving stability, modifying gastrointestinal behaviour, and controlling release throughout the process of digestion.

The efficacy of nanostructured lipid carriers (NLC) for drug delivery strongly depends on their stability and cell uptake. Both properties are governed by their compositions and internal structure. To test the effect of the lipid composition of NLC on cell uptake and stability, three kinds of liquid lipids with different degrees of unsaturation are employed. After ensuring homogeneous size distributions, the thermodynamic characteristics, stability, and mixing properties of NLC are characterized. Then the rates and predominant pathways of cell uptake are determined. Although the same surfactant is used in all cases, different uptake rates are observed. This finding contradicts the view that the surface properties of NLC are dominated by the surfactant. Instead, the uptake rates are explained by the structure of the nanocarrier. Depending on the mixing properties, some liquid lipids remain inside the nanocarrier, while other liquid lipids are present on the surface. Nanocarriers with liquid lipids on the surface are taken up more readily by the cells. This shows that the engineering of efficient lipid nanocarriers requires a delicate balance of interactions between all components of the nanocarrier on the molecular level.

Nanostructured lipid carriers (NLCs) hold significant promise as drug delivery systems (DDS) owing to their small size and efficient drug-loading capabilities. Surface functionalization of NLCs can facilitate interaction with specific cell receptors, enabling targeted cell delivery. Mannosylation has emerged as a valuable tool for increasing the ability of nanoparticles to be recognized and internalized by macrophages. Nevertheless, the design and development of functionalized NLC is a complex task that entails the optimization of numerous variables and steps, making the process challenging and time-consuming. Moreover, no previous studies have been focused on evaluating the functionalization efficiency. In this work, hybrid Artificial Intelligence technologies are used to help in the design of mannosylated drug loaded NLCs. Artificial neural networks combined with fuzzy logic or genetic algorithms were employed to understand the particle formation processes and optimize the combinations of variables for the different steps in the functionalization process. Mannose was chemically modified to allow, for the first time, functionalization efficiency quantification and optimization. The proposed sequential methodology has enabled the design of a robust procedure for obtaining stable mannosylated NLCs with a uniform particle size distribution, small particle size (< 100 nm), and a substantial positive zeta potential (> 20mV). The incorporation of mannose on the surfaces of these DDS following the established protocols achieved > 85% of functionalization efficiency. This high effectiveness should enhance NLC recognition and internalization by macrophages, thereby facilitating the treatment of chronic inflammatory diseases.