Engineering Liposomes for Neurodegenerative Diseases: Targeted Delivery and Regenerative Potential

Neurodegenerative disorders represent a major global health challenge, as current therapeutic approaches predominantly alleviate symptoms rather than restore the function of degenerating neurons. Regenerative medicine offers promising avenues of intervention. However, effective strategies demand advanced delivery systems capable of traversing the central nervous system (CNS). This article examines the potential of liposomal nanocarriers as versatile platforms for both neuroprotection and neuroregeneration. Liposomes provide a flexible modality for CNS drug delivery owing to their favorable physicochemical properties, biocompatibility, and capacity to encapsulate diverse therapeutic agents. Their intrinsic ability to interact with the blood–brain barrier positions them as particularly attractive candidates for the targeted delivery of neuroprotective and neurorestorative factors. We highlight recent preclinical and clinical evidence underscoring the importance of liposomal design parameters and administration routes in improving therapeutic outcomes. Through a critical analysis of these design principles within the context of regenerative medicine, this article emphasizes translational considerations as essential steps toward the rational engineering of liposomal systems. Ultimately, the primary objective is to arrest ongoing neurodegeneration, stimulate neuronal regeneration, and redefine the therapeutic landscape of neurodegenerative disease management.

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Publication Details

Journal
ChemNanoMat
Published
2025-12-09
DOI
https://doi.org/10.1002/cnma.202500258
Primary Topic
Graphene and Nanomaterials Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Engineering Liposomes for Neurodegenerative Diseases: Targeted Delivery and Regenerative Potential

Angelina Angelova, Shakhnoza S. Azimova, Oybek N. Ashirov, Borislav Angelov
ChemNanoMat
Graphene and Nanomaterials Applications
article

Engineering Liposomes for Neurodegenerative Diseases: Targeted Delivery and Regenerative Potential

Angelina Angelova, Shakhnoza S. Azimova, Oybek N. Ashirov, Borislav Angelov
article en

Abstract

Neurodegenerative disorders represent a major global health challenge, as current therapeutic approaches predominantly alleviate symptoms rather than restore the function of degenerating neurons. Regenerative medicine offers promising avenues of intervention. However, effective strategies demand advanced delivery systems capable of traversing the central nervous system (CNS). This article examines the potential of liposomal nanocarriers as versatile platforms for both neuroprotection and neuroregeneration. Liposomes provide a flexible modality for CNS drug delivery owing to their favorable physicochemical properties, biocompatibility, and capacity to encapsulate diverse therapeutic agents. Their intrinsic ability to interact with the blood–brain barrier positions them as particularly attractive candidates for the targeted delivery of neuroprotective and neurorestorative factors. We highlight recent preclinical and clinical evidence underscoring the importance of liposomal design parameters and administration routes in improving therapeutic outcomes. Through a critical analysis of these design principles within the context of regenerative medicine, this article emphasizes translational considerations as essential steps toward the rational engineering of liposomal systems. Ultimately, the primary objective is to arrest ongoing neurodegeneration, stimulate neuronal regeneration, and redefine the therapeutic landscape of neurodegenerative disease management.

ChemNanoMatVol. 12(1)
Centre National de la Recherche Scientifique (FR), Université Paris-Saclay (FR), Institut des Neurosciences Paris-Saclay (FR), Tashkent Pharmaceutical Institute (UZ), Extreme Light Infrastructure Beamlines (CZ), Yunusov Institute of the Chemistry of Plant Substances (UZ)
European Regional Development Fund
Openalex Percentile: Top 61%
Graphene and Nanomaterials Applications
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