Protein–Polymer Coassembly Supraparticles as a Polyester-Based Drug Delivery Carrier with Ultrahigh Colloidal Stability and Drug Loading

Poly(esters), especially poly(lactic-<i>co</i>-glycolic acid) (PLGA), are currently the materials of choice for clinical sustained-drug-release formulations based on polymer nanoparticles, due to the long history of safe clinical use of these polymers. The existing poly(ester) nanoparticles suffer from limitations in low colloidal stability or/and low drug loading. Here, we present a poly(ester)-based nanoparticle with ultrahigh colloidal stability (>210 days) and ultrahigh drug loading (∼40% for doxorubicin, or DOX). This drug delivery nanoparticle is formed by spontaneous coassembly between a protein (BSA as a model here) and a hydrophobic polymer (PLGA as a model here), yielding a protein-polymer coassembly supraparticle (PPCAS). We further investigate two different methods to load DOX into PPCAS, namely, coassembly (with hydrophobic interaction as the primary driving force) and solvent diffusion (with concentration gradient as the primary driving force). We find that combining the two loading methods can yield higher drug loading than using one method alone, supporting the complementary nature of the two loading methods. We show the sustained drug release behavior of PPCAS and explore its application in anticancer therapy. Finally, in preliminary studies of scale-up production, we demonstrate that the production of PPCAS and drug-loaded PPCAS can be scaled up without significant loss of product quality.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-06-19
DOI
https://doi.org/10.1021/acsami.5c07710
Citations
3
Primary Topic
Nanoparticle-Based Drug Delivery
Type
article
Field-Weighted Citation Impact
1.79

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article

Protein–Polymer Coassembly Supraparticles as a Polyester-Based Drug Delivery Carrier with Ultrahigh Colloidal Stability and Drug Loading

Pingqing Fan, Jie Min, Gang Ruan, Huoyue Lin et al.
3 citations
ACS Applied Materials & Interfaces
Nanoparticle-Based Drug Delivery
1.79
article

Protein–Polymer Coassembly Supraparticles as a Polyester-Based Drug Delivery Carrier with Ultrahigh Colloidal Stability and Drug Loading

Pingqing Fan, Jie Min, Gang Ruan, Huoyue Lin, Jie Dai, Xiaoya Yu, Zixing Xu
article en
3 citations

Abstract

Poly(esters), especially poly(lactic-<i>co</i>-glycolic acid) (PLGA), are currently the materials of choice for clinical sustained-drug-release formulations based on polymer nanoparticles, due to the long history of safe clinical use of these polymers. The existing poly(ester) nanoparticles suffer from limitations in low colloidal stability or/and low drug loading. Here, we present a poly(ester)-based nanoparticle with ultrahigh colloidal stability (>210 days) and ultrahigh drug loading (∼40% for doxorubicin, or DOX). This drug delivery nanoparticle is formed by spontaneous coassembly between a protein (BSA as a model here) and a hydrophobic polymer (PLGA as a model here), yielding a protein-polymer coassembly supraparticle (PPCAS). We further investigate two different methods to load DOX into PPCAS, namely, coassembly (with hydrophobic interaction as the primary driving force) and solvent diffusion (with concentration gradient as the primary driving force). We find that combining the two loading methods can yield higher drug loading than using one method alone, supporting the complementary nature of the two loading methods. We show the sustained drug release behavior of PPCAS and explore its application in anticancer therapy. Finally, in preliminary studies of scale-up production, we demonstrate that the production of PPCAS and drug-loaded PPCAS can be scaled up without significant loss of product quality.

ACS Applied Materials & InterfacesVol. 17(26)
Xi’an Jiaotong-Liverpool University (CN), Nanjing University (CN)
Natural Science Foundation of Nantong City, Natural Science Foundation of Jiangsu Province, Xi’an Jiaotong-Liverpool University
Zero hunger
Openalex Percentile: Top 16%
Nanoparticle-Based Drug Delivery
1.79
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