Developing antibacterial HB43 peptide-loaded chitosan nanoparticles for biofilm treatment

Biofilm-associated infections on medical devices are challenging to treat. Therefore, innovative treatment approaches are needed to penetrate biofilms and eliminate bacteria. With this study, we developed chitosan nanoparticles (CNPs) encapsulating the antibacterial peptide HB43 at increasing CNP/peptide ratios (from 1 to 4 % for P1-CNP, P2-CNP, and P4-CNP, respectively) using the ion gelation method. Our goal was to enhance antibacterial drug delivery inside a methicillin-resistant Staphylococcus aureus (MRSA) biofilm. Our analysis showed a direct correlation between the encapsulation efficacy of HB43 and the physical properties of the CNPs, such as size and zeta potential. P1-CNP was identified as the optimal formulation, characterized by its small size, high encapsulation efficiency, and cationic surface charge. Release studies indicated that HB43 was released in a sustained manner particularly under acidic conditions, which enhanced therapeutic efficacy. We tested the P1-CNP in culture media with pH levels of 7.4 and 5.5 to assess the pH responsiveness of the CNPs and mimic the infection environment. Both conditions showed that the HB43 loaded-CNPs effectively reduced bacterial populations in a dose-dependent manner, with up to a 99.99 % reduction in bacterial load. This study offers a promising new strategy for managing biofilm-associated infections and addressing antibiotic resistance by using CNPs loaded with HB43.

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Publication Details

Journal
International Journal of Biological Macromolecules
Published
2025-04-21
DOI
https://doi.org/10.1016/j.ijbiomac.2025.143397
Citations
3
Primary Topic
Advanced Drug Delivery Systems
Type
article
Field-Weighted Citation Impact
2.37
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article

Developing antibacterial HB43 peptide-loaded chitosan nanoparticles for biofilm treatment

Azin Khodaei, Floris J. Bikker, Saber Amin Yavari, Mies van Steenbergen et al.
3 citations
International Journal of Biological Macromolecules
Advanced Drug Delivery Systems
2.37
article

Developing antibacterial HB43 peptide-loaded chitosan nanoparticles for biofilm treatment

Azin Khodaei, Floris J. Bikker, Saber Amin Yavari, Mies van Steenbergen, Cornelus F. van Nostrum, Pardis Keikhosravani, Harrie Weinans, Kamran Nazmi, Jos A. G. van Strijp, T.L. Bollen
article en
3 citations

Abstract

Biofilm-associated infections on medical devices are challenging to treat. Therefore, innovative treatment approaches are needed to penetrate biofilms and eliminate bacteria. With this study, we developed chitosan nanoparticles (CNPs) encapsulating the antibacterial peptide HB43 at increasing CNP/peptide ratios (from 1 to 4 % for P1-CNP, P2-CNP, and P4-CNP, respectively) using the ion gelation method. Our goal was to enhance antibacterial drug delivery inside a methicillin-resistant Staphylococcus aureus (MRSA) biofilm. Our analysis showed a direct correlation between the encapsulation efficacy of HB43 and the physical properties of the CNPs, such as size and zeta potential. P1-CNP was identified as the optimal formulation, characterized by its small size, high encapsulation efficiency, and cationic surface charge. Release studies indicated that HB43 was released in a sustained manner particularly under acidic conditions, which enhanced therapeutic efficacy. We tested the P1-CNP in culture media with pH levels of 7.4 and 5.5 to assess the pH responsiveness of the CNPs and mimic the infection environment. Both conditions showed that the HB43 loaded-CNPs effectively reduced bacterial populations in a dose-dependent manner, with up to a 99.99 % reduction in bacterial load. This study offers a promising new strategy for managing biofilm-associated infections and addressing antibiotic resistance by using CNPs loaded with HB43.

International Journal of Biological MacromoleculesVol. 310(Pt 2)
Utrecht University (NL), Academic Center for Dentistry Amsterdam (NL), University Medical Center Utrecht (NL), Pharmo Institute (NL)
Openalex Percentile: Top 12%
Advanced Drug Delivery Systems
2.37
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