journal article·2016-09-07Open access

Improving Targeting of Metal–Phenolic Capsules by the Presence of Protein Coronas

Yi Ju, Qiong Dai, Jiwei Cui, Yunlu Dai, Tomoya Suma, Joseph J. Richardson, Frank Caruso

Abstract

Particles adsorb proteins when they enter a physiological environment; this results in a surface coating termed a "protein corona". A protein corona can affect both the properties and functionalities of engineered particles. Here, we prepared hyaluronic acid (HA)-based capsules through the assembly of metal-phenolic networks (MPNs) and engineered their targeting ability in the absence and presence of protein coronas by varying the HA molecular weight. The targeting ability of the capsules was HA molecular weight dependent, and a high HA molecular weight (>50 kDa) was required for efficient targeting. The specific interactions between high molecular weight HA capsules and receptor-expressing cancer cells were negligibly affected by the presence of protein coronas, whereas nonspecific capsule-cell interactions were significantly reduced in the presence of a protein corona derived from human serum. Consequently, the targeting specificity of HA-based MPN capsules was enhanced due to the formation of a protein corona. This study highlights the significant and complex roles of a protein corona in biointeractions and demonstrates how protein coronas can be used to improve the targeting specificity of engineered particles.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Nanoparticle-Based Drug Delivery · Polymer Surface Interaction Studies · Surfactants and Colloidal Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, and the Department of Chemical and Biomolecular Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia

Funding

Australian Research Council · Centre of Excellence in Convergent Bio-Nano Science and Technology, Australian Research Council

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