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Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics.

ABSTRACT: Protein adsorption to the surface of a nanoparticle can fundamentally alter the character, behavior, and fate of a nanoparticle in vivo. Current methods to capture the protein corona rely on physical separation techniques and are unable to resolve key, individual protein-nanoparticle interactions. As a result, the precise link between the "synthetic" and the "biological" identity of a nanoparticle remains unclear. Herein, we report an unbiased photoaffinity-based approach to capture, characterize, and quantify the protein corona of liposomes in their native state. Compared to conventional methods, our photoaffinity approach reveals markedly different interacting proteins as well as reduced total protein binding to liposome surfaces. Identified proteins do not follow protein abundancy patterns of human serum, as has been generally reported, but are instead dominated by soluble apolipoproteins-endogenous serum proteins that have evolved to recognize the lipidic surface of circulating lipoproteins. We believe our findings are the most accurate characterization of a liposome's biological identity but, more fundamentally, reveal liposome-protein binding is, in many cases, significantly less complex than previously thought.

SUBMITTER: Pattipeiluhu R

PROVIDER: S-EPMC7181318 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics.

Pattipeiluhu Roy R Crielaard Stefan S Klein-Schiphorst Iris I Florea Bogdan I BI Kros Alexander A Campbell Frederick F

ACS central science 20200401 4

Protein adsorption to the surface of a nanoparticle can fundamentally alter the character, behavior, and fate of a nanoparticle in vivo. Current methods to capture the protein corona rely on physical separation techniques and are unable to resolve key, individual protein-nanoparticle interactions. As a result, the precise link between the "synthetic" and the "biological" identity of a nanoparticle remains unclear. Herein, we report an unbiased photoaffinity-based approach to capture, characteriz ...[more]

PMID: 32342003

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Project description:Brain vascular aging is increasingly recognized as a critical therapeutic target for age-related cognitive decline. Oxidative stress, bioenergetic dysfunction, and molecular damage play central roles in the progression of vascular aging, contributing to cerebrovascular dysfunction and impaired cognitive function. While naturally occurring polyphenols such as resveratrol (RSV) have demonstrated potential in mitigating aging-related pathologies, their poor bioavailability and limited brain targeting efficiency significantly constrain their therapeutic impact. As a result, high doses or advanced drug delivery strategies are necessary to achieve meaningful physiological effects. We introduce a novel nanocarrier system designed to enhance RSV delivery to the cerebral endothelium by leveraging the natural formation of an apolipoprotein E (ApoE)-enriched protein corona around fusogenic liposomes (FL) in vivo. These nanoparticles directly fuse with cytoplasmic cell membranes and thus evade endocytosis. We found that once in the circulation FL spontaneously acquire a protein corona, which is highly enriched in ApoE, a key ligand for brain endothelial low-density lipoprotein receptors (LDLR). Based on this observation, we engineered an ApoE-functionalized protein corona around FL (ApoE-FL) to systematically evaluate whether this mechanism could be exploited for targeted brain delivery. Following optimization and physicochemical characterization, the RSV-loaded liposomes were evaluated in vitro using human cerebral microvascular endothelial cells and in vivo C57BL/6 aged mice to assess their therapeutic potential. Both FL and engineered ApoE-FL liposomal delivery systems exhibited a strong affinity for endothelial cell membranes in vitro. The knockdown of the ApoE receptor, low-density lipoprotein receptor-related protein 1 (LRP1), significantly reduced liposomal docking. Microscopy analysis revealed that both ApoE-FL and non-functionalized FL directly fused with endothelial plasma membranes, thus bypassing intracellular organelles and minimizing lysosomal degradation. This suggests that the naturally formed ApoE corona in vivo may contribute to efficient cerebrovascular targeting, a property successfully replicated by the engineered ApoE corona strategy. In vivo biodistribution and kinetic studies demonstrated that especially ApoE-FL achieved enhanced brain-targeting efficiency, prolonged cerebrovascular retention, and extended targeting distance along the arteriovenous axis. This emphasizes that fusogenic liposomes effectively engage almost the entire microvascular network, including capillaries and post-capillary venules. Functionally, fusogenic liposome-delivered RSV improved blood-brain barrier (BBB) integrity, enhanced neurovascular coupling (NVC) responses, and promoted brain vascularization in aged mice. Single-cell RNA sequencing (scRNA-seq) revealed enhanced endothelial angiogenesis and barrier protective transcriptional profiles in cerebrovascular cells treated with ApoE-FL/RSV, suggesting a molecular basis for the observed vascular benefits. Liposomal RSV delivery achieved near-complete cerebrovascular and cognitive rejuvenation in aged mice applying a 2000-fold lower RSV dose than oral administration used as control sample. Thus, ApoE-FL liposomes exhibited exceptionally high delivery efficiency in deeper brain regions, further expanding their therapeutic potential. These findings underscore the importance of targeted drug delivery in optimizing therapeutic outcomes and establish ApoE-functionalized fusogenic liposomes as a promising strategy for mitigating brain vascular aging and cognitive decline.

Dataset Information

Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics.

Publications

Unbiased Identification of the Liposome Protein Corona using Photoaffinity-based Chemoproteomics.

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