Therapeutic Peptides Are Preferentially Solubilized in Specific Microenvironments within PEG-PLGA Polymer Nanoparticles

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Název: Therapeutic Peptides Are Preferentially Solubilized in Specific Microenvironments within PEG-PLGA Polymer Nanoparticles
Autoři: López-Rios de Castro, Raquel, Ziolek, Robert M, Ulmschneider, Martin B, Lorenz, Christian D
Zdroj: López-Rios de Castro, R, Ziolek, R M, Ulmschneider, M B & Lorenz, C D 2024, 'Therapeutic Peptides Are Preferentially Solubilized in Specific Microenvironments within PEG-PLGA Polymer Nanoparticles', Nano Letters, vol. 24, no. 6, pp. 2011-2017. https://doi.org/10.1021/acs.nanolett.3c04558
Rok vydání: 2024
Sbírka: King's College, London: Research Portal
Témata: Polymers/chemistry, Lactic Acid/chemistry, Polyethylene Glycols/chemistry, Drug Delivery Systems/methods, Peptides, Nanoparticles/chemistry, Drug Carriers/chemistry, Polyesters
Popis: Polymeric nanoparticles are a highly promising drug delivery formulation. However, a lack of understanding of the molecular mechanisms that underlie their drug solubilization and controlled release capabilities has hindered the efficient clinical translation of such technologies. Polyethylene glycol-poly(lactic- co-glycolic) acid (PEG-PLGA) nanoparticles have been widely studied as cancer drug delivery vehicles. In this letter, we use unbiased coarse-grained molecular dynamics simulations to model the self-assembly of a PEG-PLGA nanoparticle and its solubulization of the anticancer peptide, EEK, with good agreement with previously reported experimental structural data. We applied unsupervised machine learning techniques to quantify the conformations that polymers adopt at various locations within the nanoparticle. We find that the local microenvironments formed by the various polymer conformations promote preferential EEK solubilization within specific regions of the NP. This demonstrates that these microenvironments are key in controlling drug storage locations within nanoparticles, supporting the rational design of nanoparticles for therapeutic applications.
Druh dokumentu: article in journal/newspaper
Jazyk: English
DOI: 10.1021/acs.nanolett.3c04558
Dostupnost: https://kclpure.kcl.ac.uk/portal/en/publications/f4297d89-daea-49b9-bdb0-6c26e4c4e05a
https://doi.org/10.1021/acs.nanolett.3c04558
http://www.scopus.com/inward/record.url?scp=85184815917&partnerID=8YFLogxK
Rights: info:eu-repo/semantics/openAccess
Přístupové číslo: edsbas.92FF6C5E
Databáze: BASE
Popis
Abstrakt:Polymeric nanoparticles are a highly promising drug delivery formulation. However, a lack of understanding of the molecular mechanisms that underlie their drug solubilization and controlled release capabilities has hindered the efficient clinical translation of such technologies. Polyethylene glycol-poly(lactic- co-glycolic) acid (PEG-PLGA) nanoparticles have been widely studied as cancer drug delivery vehicles. In this letter, we use unbiased coarse-grained molecular dynamics simulations to model the self-assembly of a PEG-PLGA nanoparticle and its solubulization of the anticancer peptide, EEK, with good agreement with previously reported experimental structural data. We applied unsupervised machine learning techniques to quantify the conformations that polymers adopt at various locations within the nanoparticle. We find that the local microenvironments formed by the various polymer conformations promote preferential EEK solubilization within specific regions of the NP. This demonstrates that these microenvironments are key in controlling drug storage locations within nanoparticles, supporting the rational design of nanoparticles for therapeutic applications.
DOI:10.1021/acs.nanolett.3c04558