The influence of various polymer coatings on the in vitro and in vivo properties of PLGA nanoparticles: Comprehensive study

• Published in: European journal of pharmaceutics and biopharmaceutics 2024-08, Vol.201, p.114366, Article 114366
• Main Authors: Iureva, Anna M., Nikitin, Petr I., Tereshina, Ekaterina D., Nikitin, Maxim P., Shipunova, Victoria O.
• Format: Article
• Language: English
• Subjects: Animals; Biodistribution; Cell Line, Tumor; Drug Carriers - chemistry; Female; Humans; In vivo imaging; Lactic Acid - chemistry; Magnetic polymer nanoparticles; Mice; MPQ; Nanoparticles - chemistry; PLGA; Polyglycolic Acid - chemistry; Polylactic Acid-Polyglycolic Acid Copolymer - chemistry; Polymers - chemistry; Rational design; Surface Properties; Tissue Distribution
• ISSN: 0939-6411; 1873-3441; 1873-3441
• DOI: 10.1016/j.ejpb.2024.114366

[Display omitted] Nanoparticles based on poly(lactic-co-glycolic acid) (PLGA) with various surface chemistry are widely used in biomedicine for theranostic applications. The nature of the external coating of nanoparticles has a significant influence on their efficiency as drug carriers or visualization agents. However, information about the mechanisms of nanoparticle accumulation in tumors and the influence of their surface properties on biodistribution is scarce due to the lack of systematic evaluation. Here we investigate the effect of different polymer coatings of the surface on in vitro and in vivo properties of PLGA nanoparticles. Namely, cell binding efficiency, cytotoxicity, efficiency of fluorescent bioimaging, and tumor accumulation were tested. The highest binding efficiency in vitro and cytotoxicity were observed for positively charged polymers. Interestingly, in vivo fluorescent visualization of tumor-bearing mice and quantitative measurements of biodistribution of magnetite-loaded nanoparticles indicated different dependences of accumulation in tumors on the coating of PLGA nanoparticles. This means that nanoparticle surface properties can simultaneously enhance imaging efficiency and decrease quantitative accumulation in tumors. The obtained data demonstrate the complexity of the dependence of nanoparticles’ effectiveness for theranostic applications on surface features. We believe that this study will contribute to the rational design of nanoparticles for effective cancer diagnostics and therapy.