ArticleInternational journal of nanomedicine2024
Nose-to-Brain Drug Delivery and Physico-Chemical Properties of Nanosystems: Analysis and Correlation Studies of Data from Scientific Literature.
Article in International journal of nanomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Optimized mucus adhesion and penetration of lipid-polymer nanoparticles enables effective nose-to-brain delivery of perillyl alcohol for glioblastoma therapy.Drug delivery and translational research · 2026Article
- Formulation considerations in enhancing olfactory mucosal deposition for nose-to-brain drug delivery.Drug delivery and translational research · 2026Review
- Systematic Design and Evaluation of Nasal Drug Delivery for Central Nervous System Disease from Experimental to Clinical Application.Pharmaceutics · 2026Review
- Advances in Intranasal CNS Targeting: Integrating Formulations, Devices, Computational Fluid Dynamics, and 3D Printing.Pharmaceutics · 2026Review
- Machine learning reshapes the paradigm of nanomedicine research.Acta pharmaceutica Sinica. B · 2026Review
- Development and Optimization of 7,8-Dihydroxyflavone-Loaded Polylysine/Lecithin Nanoparticles for Potential Intranasal Delivery.Pharmaceutics · 2026Article
- The Cribriform Plate: A Multifaceted Neuroimmune Hub in CNS Health and Disease.Medicina (Kaunas, Lithuania) · 2026Review
- Unlocking the Power of Plant-Derived Natural Products: Therapeutic Benefits for Cognitive Health and Neuropsychiatric Symptoms in Dementia-Related Diseases.Plants (Basel, Switzerland) · 2026Review
- Development and Characterization ofPharmaceutics · 2025Article
- Pharmaceutical 3D Printing Technology Integrating Nanomaterials and Nanodevices for Precision Neurological Therapies.Pharmaceutics · 2025Review
- Manipulation of Lipid Nanocapsules as an Efficient Intranasal Platform for Brain Deposition of Clozapine as an Antipsychotic Drug.Pharmaceutics · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In the last few decades, nose-to-brain delivery has been investigated as an alternative route to deliver molecules to the Central Nervous System (CNS), bypassing the Blood-Brain Barrier. The use of nanotechnological carriers to promote drug transfer via this route has been widely explored. The exact mechanisms of transport remain unclear because different pathways (systemic or axonal) may be involved. Despite the large number of studies in this field, various aspects still need to be addressed. For example, what physicochemical properties should a suitable carrier possess in order to achieve this goal? To determine the correlation between carrier features (eg, particle size and surface charge) and drug targeting efficiency percentage (DTE%) and direct transport percentage (DTP%), correlation studies were performed using machine learning. Methods: Detailed analysis of the literature from 2010 to 2021 was performed on Pubmed in order to build "NANOSE" database. Regression analyses have been applied to exploit machine-learning technology. Results: A total of 64 research articles were considered for building the NANOSE database (102 formulations). Particle-based formulations were characterized by an average size between 150-200 nm and presented a negative zeta potential (ZP) from -10 to -25 mV. The most general-purpose model for the regression of DTP/DTE values is represented by Decision Tree regression, followed by K-Nearest Neighbors Regressor (KNeighbor regression). Conclusion: A literature review revealed that nose-to-brain delivery has been widely investigated in neurodegenerative diseases. Correlation studies between the physicochemical properties of nanosystems (mean size and ZP) and DTE/DTP parameters suggest that ZP may be more significant than particle size for DTP/DTE predictability.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.