Valency and affinity control of aptamer-conjugated nanoparticles for selective cancer cell targeting

Laura Woythe, David Porciani, Tessa Harzing, Stijn van Veen, Donald H. Burke, Lorenzo Albertazzi (Corresponding author)

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

18 Citaten (Scopus)
118 Downloads (Pure)

Samenvatting

Nanoparticles (NPs) are commonly functionalized using targeting ligands to drive their selective uptake in cells of interest. Typical target cell types are cancer cells, which often overexpress distinct surface receptors that can be exploited for NP therapeutics. However, these targeted receptors are also moderately expressed in healthy cells, leading to unwanted off-tumor toxicities. Multivalent interactions between NP ligands and cell receptors have been investigated to increase the targeting selectivity towards cancer cells due to their non-linear response to receptor density. However, to exploit the multivalent effect, multiple variables have to be considered such as NP valency, ligand affinity, and cell receptor density. Here, we synthesize a panel of aptamer-functionalized silica-supported lipid bilayers (SSLB) to study the effect of valency, aptamer affinity, and epidermal growth factor receptor (EGFR) density on targeting specificity and selectivity. We show that there is an evident interplay among those parameters that can be tuned to increase SSLB selectivity towards high-density EGFR cells and reduce accumulation at non-tumor tissues. Specifically, the combination of high-affinity aptamers and low valency SSLBs leads to increased high-EGFR cell selectivity. These insights provide a better understanding of the multivalent interactions of NPs with cells and bring the nanomedicine field a step closer to the rational design of cancer nanotherapeutics.

Originele taal-2Engels
Pagina's (van-tot)228-237
Aantal pagina's10
TijdschriftJournal of Controlled Release
Volume355
DOI's
StatusGepubliceerd - mrt. 2023

Bibliografische nota

Funding Information:
This work was financially supported by the Netherlands Science Organization (Grant 192.028 ) through the VIDI program, the European Union's Horizon 2020 research and innovation program under the European Research Council grant ERC-StG-757397 (NANOSTORM), the MU Life Sciences Center (LSC) - Early Concept Grant (ECG) 2019 for Innovative Collaborative Research involving Post-Doctoral Researchers (PI: Burke-Daniels-Porciani), and the UM Research and Creative Works Strategic Investment Program grant (PI: Burke).

Financiering

This work was financially supported by the Netherlands Science Organization (Grant 192.028 ) through the VIDI program, the European Union's Horizon 2020 research and innovation program under the European Research Council grant ERC-StG-757397 (NANOSTORM), the MU Life Sciences Center (LSC) - Early Concept Grant (ECG) 2019 for Innovative Collaborative Research involving Post-Doctoral Researchers (PI: Burke-Daniels-Porciani), and the UM Research and Creative Works Strategic Investment Program grant (PI: Burke).

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