Advancement in the nose-to-brain drug delivery of FDA-approved drugs for the better management of depression and psychiatric disorders DOI

R. K. Upadhyay,

Priyanka Ghosh,

Madhuri Desavathu

и другие.

International Journal of Pharmaceutics, Год журнала: 2024, Номер unknown, С. 124866 - 124866

Опубликована: Окт. 1, 2024

Язык: Английский

Beyond hype: unveiling the Real challenges in clinical translation of 3D printed bone scaffolds and the fresh prospects of bioprinted organoids DOI Creative Commons
Xiangyu Zhao, Na Li, Ziqi Zhang

и другие.

Journal of Nanobiotechnology, Год журнала: 2024, Номер 22(1)

Опубликована: Авг. 21, 2024

Bone defects pose significant challenges in healthcare, with over 2 million bone repair surgeries performed globally each year. As a burgeoning force the field of tissue engineering, 3D printing offers novel solutions to traditional transplantation procedures. However, current 3D-printed scaffolds still face three critical material selection, methods, cellular self-organization and co-culture, significantly impeding their clinical application. In this comprehensive review, we delve into performance criteria that ideal should possess, particular focus on core faced by technology during translation. We summarize latest advancements non-traditional materials advanced techniques, emphasizing importance integrating organ-like technologies bioprinting. This combined approach enables more precise simulation natural structure function. Our aim writing review is propose effective strategies address these promote translation for defect treatment.

Язык: Английский

Процитировано

16

Chitosan nanoparticles for nasal drug delivery DOI Creative Commons

Salah Alghareeb,

Ifeoma Cynthia Ekenna, Kofi Asare‐Addo

и другие.

Journal of Drug Delivery Science and Technology, Год журнала: 2025, Номер unknown, С. 106623 - 106623

Опубликована: Янв. 1, 2025

Процитировано

1

Optimising the production of PLGA nanoparticles by combining design of experiment and machine learning DOI Creative Commons

Nidhi Seegobin,

Youssef Abdalla, Ge Li

и другие.

International Journal of Pharmaceutics, Год журнала: 2024, Номер 667, С. 124905 - 124905

Опубликована: Ноя. 2, 2024

Язык: Английский

Процитировано

4

PLGA-Based Strategies for Intranasal and Pulmonary Applications DOI Creative Commons
Hossein Omidian,

Renae L. Wilson

Pharmaceutics, Год журнала: 2025, Номер 17(2), С. 207 - 207

Опубликована: Фев. 6, 2025

Poly(D,L-lactide-co-glycolide) (PLGA) has emerged as a cornerstone in the development of advanced drug delivery systems, particularly for intranasal and pulmonary routes. Its biodegradability, biocompatibility, adaptability make it an ideal platform addressing challenges associated with conventional therapies. By enabling sustained controlled release, PLGA formulations reduce dosing frequency, improve patient compliance, enhance therapeutic efficacy. These systems demonstrate versatility, accommodating hydrophilic hydrophobic drugs, biological molecules, co-delivery synergistic agents. Moreover, surface modifications preparation techniques targeting, bioavailability, stability, expanding PLGA’s applications to treat complex diseases such tuberculosis, cancer, fibrosis, CNS disorders. This manuscript provides in-depth review materials, properties, methods, applications, alongside critical evaluation future opportunities this field.

Язык: Английский

Процитировано

0

Utilization of machine learning approach for production of optimized PLGA nanoparticles for drug delivery applications DOI Creative Commons
Khaled Almansour,

Arwa Sultan Alqahtani

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 14, 2025

This study investigates utilization of machine learning for the regression task predicting size PLGA (Poly lactic-co-glycolic acid) nanoparticles. Various inputs including category and numeric were considered building model to predict optimum conditions preparation nanosized particles drug delivery applications. The proposed methodology employs Leave-One-Out (LOO) categorical feature transformation, Local Outlier Factor (LOF) outlier detection, Bat Optimization Algorithm (BA) hyperparameter optimization. A comparative analysis compares K-Nearest Neighbors (KNN), ensemble methods such as Bagging Adaptive Boosting (AdaBoost), novel Small-Size Bat-Optimized KNN Regression (SBNNR) model, which uses generative adversarial networks deep extraction improve performance on sparse datasets. Results demonstrate that ADA-KNN outperforms other models Particle Size prediction with a test R² 0.94385, while SBNNR achieves superior accuracy in Zeta Potential 0.97674. These findings underscore efficacy combining advanced preprocessing, optimization, techniques robust modeling. contributions this work include development validation BA's optimization capabilities, comprehensive evaluation methods. method provides reliable framework using material science applications, particularly nanoparticle characterization.

Язык: Английский

Процитировано

0

Nasal In-Situ Gels of Brij®-Enriched Novasomes as Optimistic Nanovesicular Carriers for Enhancing Anti-Depressant Action of Agomelatine DOI Creative Commons
Tarek Ibrahim, Mohamed S. Attia, Nourhan A. Abdulla

и другие.

AAPS PharmSciTech, Год журнала: 2025, Номер 26(5)

Опубликована: Апрель 17, 2025

Abstract The purpose of study was to exploit distinctive features nasal administration route boost agomelatine permeation and upgrade its anti-depressant action after being embedded in Brij ® -enriched novasomes (NVs) as non-phospholipid vesicular systems. Different amounts types excipients were used evaluate NVs using definitive screening design (DSD). Optimal NV incorporated thermosensitive in-situ gels containing poloxamer 407 (P-407) hydroxypropyl methyl cellulose (HPMC). After evaluation novasomal (NVGs), optimal NVG subjected ex-vivo , in-vivo biochemical investigations. Results showed significant increase entrapment capability (EC%), particle size (P.S), zeta potential (Z.P) increasing free fatty acid, surfactant, cholesterol amounts. improve fluidization lipid bilayers, decrease P.S, Z.P observed. Lipohilicity, EC%, 56-enriched higher than those 35. Gradual HPMC concentration gel/NV ratio led marked gelation time spreadability gel strength viscosity values NVGs. NVG9 displayed profile (538.34 μg/cm 2 ) drug flux (39.38 .h −1 through fresh sheep mucosa comparison control (150.76 14.44 respectively). Rats treated with manifested increased sucrose preference (SP) percent (80.73%) levels dopamine (50.42 ng/g) serotonin (44.92 decreased low latency (5.86 min). This confirmed the safety amplification precognitive intranasal administration. Graphical

Язык: Английский

Процитировано

0

Lyotropic liquid crystalline nanoparticles of morin: An approach to improve pharmacokinetics and brain disposition in rats via nose-to-brain pathway DOI
Dhrumi Patel, Sarika Wairkar

Nanomedicine Nanotechnology Biology and Medicine, Год журнала: 2025, Номер unknown, С. 102823 - 102823

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Quality by design enabled development & in-vitro assessment of a Nanoemulgel formulation for Nose-to-Brain delivery of Nintedanib for glioblastoma multiforme treatment DOI
Dnyandev Gadhave, Mural Quadros,

Surendra K. Ravula

и другие.

International Journal of Pharmaceutics, Год журнала: 2025, Номер unknown, С. 125632 - 125632

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Förster Resonance Energy Transfer (FRET) Demonstrates In Vitro Chitosan-Coated Nanocapsules Suitability for Intranasal Brain Delivery DOI Creative Commons
María Alleva, Zsuzsa Baranyai, Natalia Esteban-Pérez

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2025, Номер unknown

Опубликована: Апрель 27, 2025

Intranasal drug delivery to the brain offers a promising strategy overcome biological barriers. Chitosan-coated nanoemulsion-based nanocapsules demonstrate significant potential due their mucoadhesive properties, ability permeate epithelial cells, and solubilize poorly water-soluble drugs, making them ideal candidates for bypassing blood-brain barrier overcoming nasal mucosa. To ensure effective delivery, it is critical assess integrity of these during transit across such In this study, we employed Förster resonance energy transfer track structural transport. A simplified in vitro model was established using Calu-3 cells mimic mucosal Balb-c 3T3 fibroblasts as target cells. Our findings demonstrated that nanoemulsion core successfully crossed reached while maintaining its integrity. These results validate chitosan-coated robust platform intranasal drugs brain.

Язык: Английский

Процитировано

0

Polyphenol-Enabled 2D Nanopatch for Enhanced Nasal Mucoadhesion and Immune Activation DOI
Jeong Pil Han,

Yu Ri Nam,

Hye Yoon Chung

и другие.

Nano Letters, Год журнала: 2024, Номер 24(33), С. 10380 - 10387

Опубликована: Авг. 9, 2024

The advancement of effective nasal mucoadhesive delivery faces challenges due to rapid mucociliary clearance (MCC). Conventional studies have employed materials, mainly forming spherical nanoparticles, but these offer limited adhesion the mucosa. This study hypothesizes that a 2D nanoscale structure utilizing adhesive polyphenols can provide superior strategy for countering MCC, aligning with planar mucosal layers. We explore use tannic acid (TA), polyphenolic molecule known its properties and ability form complexes biomolecules. Our introduces an unprecedented nanopatch, assembled through interaction TA green fluorescent protein (GFP), cell-penetrating peptide (CPP). nanopatch demonstrates robust mucosa significantly enhances immunoglobulin A secretions, suggesting potential enhancing vaccine delivery. promise polyphenol-enabled signifies pivotal shift from conventional opening new pathways strategies respiratory mucoadhesion.

Язык: Английский

Процитировано

1