Engineering Elastin-Like Peptide-Based Nanoparticles displaying Variable Domain of the Heavy Chain of Heavy-Chain-Only Antibodies for SARS-CoV-2 Neutralization

Elastin-like polypeptides (ELPs) are self-assembling recombinant biopolymers that can be precisely engineered to display functional targeting ligands. In this study, we developed ELP-based nanoparticles (NPs) displaying the variable domain of the heavy chain of heavy-chain-only antibodies (VHHs) targeting the SARS-CoV-2 spike protein. By tuning VHH selection, multivalency, and surface display density, we created targeted ELP NPs capable of blocking entry of spike-protein-presenting virus-like particles (VLPs) and live viruses, with subnanomolar IC<sub>50</sub> values, significantly outperforming the monovalent VHH equivalents. Notably, optimizing multivalency and VHH density unlocked broad virus-neutralizing potency against multiple variants, including Omicron variants resistant against the monovalent VHH equivalents. Confocal imaging further revealed that VHH-ELP NPs formed aggregates with VLPs, enhancing uptake by M1 macrophages, suggesting potential for eliciting vaccinal effects. Overall, this work highlights the versatility of ELP NPs as a tunable antiviral platform and provides design principles for next-generation nanotherapeutics against evolving viral threats.

Authors

Institutions

Publication Details

Journal
Biomacromolecules
Published
2026-01-21
DOI
https://doi.org/10.1021/acs.biomac.5c02042
Primary Topic
Connective tissue disorders research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engineering Elastin-Like Peptide-Based Nanoparticles displaying Variable Domain of the Heavy Chain of Heavy-Chain-Only Antibodies for SARS-CoV-2 Neutralization

Jenny van Oostrum, Jan C. M. van Hest, Wouter P. R. Verdurmen, Jetta J. E. Bijlsma et al.
Biomacromolecules
Connective tissue disorders research
article

Engineering Elastin-Like Peptide-Based Nanoparticles displaying Variable Domain of the Heavy Chain of Heavy-Chain-Only Antibodies for SARS-CoV-2 Neutralization

Jenny van Oostrum, Jan C. M. van Hest, Wouter P. R. Verdurmen, Jetta J. E. Bijlsma, E. Van de Westerlo, Ronald P. van Rij, Ilse Roodink, Gijs J. Overheul, Jianhong Wang, William P. J. Leenders, Duc H. T. Le
article en

Abstract

Elastin-like polypeptides (ELPs) are self-assembling recombinant biopolymers that can be precisely engineered to display functional targeting ligands. In this study, we developed ELP-based nanoparticles (NPs) displaying the variable domain of the heavy chain of heavy-chain-only antibodies (VHHs) targeting the SARS-CoV-2 spike protein. By tuning VHH selection, multivalency, and surface display density, we created targeted ELP NPs capable of blocking entry of spike-protein-presenting virus-like particles (VLPs) and live viruses, with subnanomolar IC<sub>50</sub> values, significantly outperforming the monovalent VHH equivalents. Notably, optimizing multivalency and VHH density unlocked broad virus-neutralizing potency against multiple variants, including Omicron variants resistant against the monovalent VHH equivalents. Confocal imaging further revealed that VHH-ELP NPs formed aggregates with VLPs, enhancing uptake by M1 macrophages, suggesting potential for eliciting vaccinal effects. Overall, this work highlights the versatility of ELP NPs as a tunable antiviral platform and provides design principles for next-generation nanotherapeutics against evolving viral threats.

BiomacromoleculesVol. 27(2)
Radboud University Nijmegen (NL), University of Mines and Technology (GH), University Medical Center (US), Radboud University Medical Center (NL), ImmunoPrecise (Canada) (CA), Institute for Complex Systems (IT), Eindhoven University of Technology (NL)
Openalex Percentile: Top 75%
Connective tissue disorders research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.