Brain Targeting of Citicoline Sodium via Hyaluronic Acid-Decorated Novel Nano-Transbilosomes for Mitigation of Alzheimer's Disease in a Rat Model: Formulation, Optimization, in vitro and in vivo Assessment.

Background: Alzheimer's disease (AD) is one of the furthermost advanced neurodegenerative disorders resulting in cognitive and behavioral impairment. Citicoline sodium (CIT) boosts the brain's secretion of acetylcholine, which aids in membrane regeneration and repair. However, it suffers from poor blood-brain barrier (BBB) permeation, which results in lower levels of CIT in the brain. Purpose: This study targeted to encapsulate CIT into novel nano-platform transbilosomes decorated with hyaluronic acid CIT-HA*TBLs to achieve enhanced drug delivery from the nose to the brain. Methods: A method of thin-film hydration was utilized to prepare different formulae of CIT-TBLs using the Box-Behnken design. The optimized formula was then hyuloranated via integration of HA to form the CIT-HA*TBLs formula. Furthermore, AD induction was performed by aluminum chloride (Alcl3), animals were allocated, and brain hippocampus tissue was isolated for ELISA and qRT-PCR analysis of malondialdehyde (MDA), nuclear factor kappa B (NF-kB), and microRNA-137 (miR-137) coupled with immunohistochemical amyloid-beta (Aß1-42) expression and histopathological finding. Results: The hyuloranated CIT-HA*TBLs formula, which contained the following ingredients: PL (300 mg), Sp 60 (43.97 mg), and SDC (20 mg). They produced spherical droplets at the nanoscale (178.94 ±12.4 nm), had a high entrapment efficiency with 74.92± 5.54%, had a sustained release profile of CIT with 81.27 ±3.8% release, and had ex vivo permeation of CIT with 512.43±19.58 µg/cm2. In vivo tests showed that CIT-HA*TBL thermogel dramatically reduces the hippocampus expression of miR-137 and (Aß1-42) expression, boosting cholinergic neurotransmission and decreasing MDA and NF-kB production. Furthermore, CIT-HA*TBLs thermogel mitigate histopathological damage in compared to the other groups. Conclusion: Succinctly, the innovative loading of CIT-HA*TBLs thermogel is a prospectively invaluable intranasal drug delivery system that can raise the efficacy of CIT in Alzheimer's management.

Progesterone-loaded nanosized transethosomes for vaginal permeation enhancement: formulation, statistical optimization, and clinical evaluation in anovulatory polycystic ovary syndrome.

Bio-identical progesterone (PRG) is an exogenous female steroidal hormone which is used for treatment of polycystic ovary syndrome (PCOS). However, it suffers from poor bioavailability due to hepatic metabolism and poor solubility. The target of this work was to evaluate and statistically optimize PRG-loaded nanovesicle transethosomes (NVTEs) based in mucoadhesive gel for transvaginal delivery of PRG as potential luteal-phase support. A 24 full factorial design was used to explore the effect of phosphatidylcholine (PC), Tween 80, cetyltrimethyl ammonium bromide and ethanol concentration on particle size, entrapment efficiency (EE%), % in vitro PRG release after 24 h and transvaginal flux. PRG-loaded NVTEs were prepared by injection sonication method. The results revealed that the mean particle sizes ranged from 133.3 ± 3.42 to 349.5 ± 1.24 nm, zeta potential ranged from -23.5 ± 3.84 to +74.6 ± 4.97 mV, EE% ranged from 87.93 ± 3.58 to 97.05 ± 2.61%, % PRG release ranged from 50.9 ± 2.75 to 90.69 ± 2.07 and transvaginal flux ranged from 0.274 ± 0.03 to 0.531 ± 0.04 mg/cm2/h. The optimized formulation was subjected to transmission electron microscope for morphological examination and then incorporated in the mucoadhesive vaginal gel using Carbopol 974, hydroxyl propyl methylcellulose and sodium alginate. The optimized formulation was clinically studied in anovulatory PCOS and showed a significant increase in the serum PRG, endometrial thickness, echogenicity degree and the pregnancy rate. Briefly, PRG-loaded NVTEs vaginal gel might be a promising formulation for luteal phase support and increase pregnancy rate in anovulatory PCOS.