ReviewTranslational neurodegeneration2024
Hybrid nanostructures for neurodegenerative disease theranostics: the art in the combination of biomembrane and non-biomembrane nanostructures.
Review in Translational neurodegeneration, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Intranasal L-DOPA/TPP-engineered extracellular vesicles deliver icariin to ameliorate mitochondrial dysfunction with associated sphingolipid remodeling in Alzheimer's disease models.Materials today. Bio · 2026Article
- Review
- Exosome Biology at the Interface of Neurodegeneration and Therapeutic Innovation.Molecular neurobiology · 2026Review
- Extracellular Vesicles in Autoimmune Diseases: From Diagnostic Biomarkers to Engineered Therapeutics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Multifunctional Hybrid Nanomedicines for Neurodegenerative Diseases: A Paradigm Shift from Rational Design to Clinical Translation.International journal of nanomedicine · 2026Review
- Engineering Small Extracellular Vesicles for Colon-Targeted Delivery: Microenvironment-Responsive Design, Therapeutic Mechanisms, and Clinical Translation.International journal of nanomedicine · 2026Review
- Engineering exosomes for targeted neurodegenerative therapy: innovations in biogenesis, drug loading, and clinical translation.Theranostics · 2026Review
- Nanomaterials in Drug Delivery: Leveraging Artificial Intelligence and Big Data for Predictive Design.International journal of molecular sciences · 2025Review
- Emerging Approaches to Mitigate Neural Cell Degeneration with Nanoparticles-Enhanced Polyelectrolyte Systems.Membranes · 2025Review
- Nanotechnology for Neurodegenerative Diseases: Recent Progress in Brain-Targeted Delivery, Stimuli-Responsive Platforms, and Organelle-Specific Therapeutics.International journal of nanomedicine · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
The diagnosis of neurodegenerative diseases (NDDs) remains challenging, and existing therapeutic approaches demonstrate little efficacy. NDD drug delivery can be achieved through the utilization of nanostructures, hence enabling multimodal NDD theranostics. Nevertheless, both biomembrane and non-biomembrane nanostructures possess intrinsic shortcomings that must be addressed by hybridization to create novel nanostructures with versatile applications in NDD theranostics. Hybrid nanostructures display improved biocompatibility, inherent targeting capabilities, intelligent responsiveness, and controlled drug release. This paper provides a concise overview of the latest developments in hybrid nanostructures for NDD theranostics and emphasizes various engineering methodologies for the integration of diverse nanostructures, including liposomes, exosomes, cell membranes, and non-biomembrane nanostructures such as polymers, metals, and hydrogels. The use of a combination technique can significantly augment the precision, intelligence, and efficacy of hybrid nanostructures, therefore functioning as a more robust theranostic approach for NDDs. This paper also addresses the issues that arise in the therapeutic translation of hybrid nanostructures and explores potential future prospects in this field.
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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.