Ayesha Sultana, Abdul Rahman Shafeeh, Mohammed Gulzar Ahmed, Prajitha Biju, Sindhu Priya Es, Md Sadique Hussain
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引用次数: 0
Abstract
Objective: The objective of this study is to develop and characterize a Crocus sativus (saffron)-based solid lipid nanoparticle (SLN) nasal spray for treating depression by enabling direct nose-to-brain delivery and evaluating its antidepressant potential in a Drosophila melanogaster model.
Materials and methods: Phytochemical screening, antioxidant assays, and HPLC quantification of picrocrocin were performed on Crocus sativus extract. The SLN-based nasal spray was formulated and characterized for particle size, zeta potential, polydispersity index (PDI), drug entrapment efficiency, in vitro drug release, and stability over 4 weeks. The antidepressant efficacy was assessed via a climbing assay in Drosophila melanogaster.
Results: Phytochemical analysis revealed phenolic content (11-36 μg GAE/mg), flavonoid content (43-56 μg QE/mg), and carotenoid content (1.9-30 μg βC/mg). HPLC analysis quantified picrocrocin at 6.3 mg/g, confirming its presence. The SLNs exhibited a particle size of 110-225 nm, a zeta potential of -1 to -0.8 mV, a PDI of 1, and a drug entrapment efficiency of 99.76%. Drug release reached 37% over 270 minutes, and the nasal spray maintained a pH of 5.8, a viscosity of 23.1 cP, and stability over 4 weeks. In vivo, the climbing assay demonstrated improved locomotor activity, indicating significant antidepressant potential.
Conclusion: The Crocus sativus SLN nasal spray exhibits high entrapment efficiency, stability, and promising in vivo antidepressant effects, supporting its potential as a novel therapy for treatment-resistant depression via direct nose-to-brain delivery.
期刊介绍:
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:
Target identification and validation
Assay design, development, miniaturization and comparison
High throughput/high content/in silico screening and associated technologies
Label-free detection technologies and applications
Stem cell technologies
Biomarkers
ADMET/PK/PD methodologies and screening
Probe discovery and development, hit to lead optimization
Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries)
Chemical library design and chemical diversity
Chemo/bio-informatics, data mining
Compound management
Pharmacognosy
Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products)
Natural Product Analytical Studies
Bipharmaceutical studies of Natural products
Drug repurposing
Data management and statistical analysis
Laboratory automation, robotics, microfluidics, signal detection technologies
Current & Future Institutional Research Profile
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Patents.