Global Trends and Evolving Frontiers in Intranasal Delivery for CNS Diseases (2000-2025): A Bibliometric Analysis and Systematic Review.
systematic_review · Level I
Where this comes from
- Record sourced from PubMed, PMID 42392306.
- Also identified by DOI 10.1016/j.wneu.2026.125172.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Intranasal administration (nose-to-brain delivery) has emerged as a pivotal non-invasive strategy to bypass the blood-brain barrier (BBB) for treating central nervous system (CNS) disorders. However, the exponential growth of literature in this domain presents challenges in grasping the holistic research trajectory and identifying emerging hotspots. This study conducted a comprehensive bibliometric analysis of 4,009 publications retrieved from the Web of Science Core Collection (WoSCC) spanning from 2000 to 2025. Tools including VOSviewer, CiteSpace, and R-bibliometrix were employed to map spatiotemporal trends, collaborative networks, and keyword evolution. The analysis reveals a robust upward trend in global research output, predominantly driven by China and the United States. Keyword clustering identified five major research sub-domains: Alzheimer's disease, Oxytocin (behavioral/psychiatric applications), Stroke and Neuroinflammation, Brain Tumors, and Nanoparticles. Burst detection analysis elucidates a distinct paradigm shift in scientific focus: early investigations prioritized mucosal absorption mechanisms and tolerance; the focus subsequently transitioned to specific therapeutic agents (e.g., insulin, oxytocin); and most recently, the field has been dominated by the optimization of delivery vectors, specifically lipid-based nanoparticles and exosomes. While nanotechnology has become the current technological frontier for enhancing brain targeting, a critical gap remains between promising preclinical results and clinical translation. Future research must prioritize the development of biomimetic delivery systems and highly predictive translational models to bridge the divide between bench and bedside. This review provides a strategic roadmap for researchers to navigate current trends and address the barriers hindering clinical application.