Programmable DNA‐Peptide Hybrid Nanostructures for Potent Neutralization of Multiple Influenza a Virus Subtypes

ABSTRACT The continued emergence of antigenic drift and drug‐resistant viral strains highlights the need for antiviral strategies that deliver robust efficacy, broad subtype coverage, and minimal off‐target toxicity. We demonstrate a potent and broad‐spectrum strategy that employs hybrid biomaterials of Urumin (a host defense peptide) and a honeycomb (HC) DNA origami through spatially organized multivalent presentation for enhanced antiviral efficacy. Molecular dynamics simulations reveal that Urumin penetrates and destabilizes the hemagglutinin (HA) trimer core, disrupting influenza A viral (IAV) entry. Arranging Urumin in trimeric clusters on the HC enables potent multivalent binding to trimeric HAs on IAV, enhancing antiviral efficacy at nanomolar concentrations, ∼1000‐fold more effective than free Urumin. In vitro assays confirm HC‐Urumin outperforms free Urumin in blocking viral entry and preserving cell viability in more IAV subtypes. In vivo studies show that compared to free Urumin, HC‐Urumin treatment reduces disease severity, preserves physiological behavior, and decreases mortality in infected mice, while maintaining virus‐specific adaptive immune responses without altering humoral immunity. Our study offers an advanced and effective materials platform and strategy for broad‐spectrum, low‐dose intervention against human and animal IAVs, which can be adapted to combat other viruses by patterning corresponding host defense peptides on custom designed DNA nanostructures.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-12-23
DOI
https://doi.org/10.1002/adfm.202517361
Primary Topic
Supramolecular Self-Assembly in Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Programmable DNA‐Peptide Hybrid Nanostructures for Potent Neutralization of Multiple Influenza a Virus Subtypes

Dhanush Gandavadi, Mareddy Vineetha Reddy, Yīng Fāng, Xing Wang et al.
Advanced Functional Materials
Supramolecular Self-Assembly in Materials
article

Programmable DNA‐Peptide Hybrid Nanostructures for Potent Neutralization of Multiple Influenza a Virus Subtypes

Dhanush Gandavadi, Mareddy Vineetha Reddy, Yīng Fāng, Xing Wang, Andrew J. Steelman, Lifeng Zhou, Saurabh Umrao, Payton Haak, Chi Chen, Jinwei Duan, Dwivedy Abhisek, Laurie A. Rund
article en

Abstract

ABSTRACT The continued emergence of antigenic drift and drug‐resistant viral strains highlights the need for antiviral strategies that deliver robust efficacy, broad subtype coverage, and minimal off‐target toxicity. We demonstrate a potent and broad‐spectrum strategy that employs hybrid biomaterials of Urumin (a host defense peptide) and a honeycomb (HC) DNA origami through spatially organized multivalent presentation for enhanced antiviral efficacy. Molecular dynamics simulations reveal that Urumin penetrates and destabilizes the hemagglutinin (HA) trimer core, disrupting influenza A viral (IAV) entry. Arranging Urumin in trimeric clusters on the HC enables potent multivalent binding to trimeric HAs on IAV, enhancing antiviral efficacy at nanomolar concentrations, ∼1000‐fold more effective than free Urumin. In vitro assays confirm HC‐Urumin outperforms free Urumin in blocking viral entry and preserving cell viability in more IAV subtypes. In vivo studies show that compared to free Urumin, HC‐Urumin treatment reduces disease severity, preserves physiological behavior, and decreases mortality in infected mice, while maintaining virus‐specific adaptive immune responses without altering humoral immunity. Our study offers an advanced and effective materials platform and strategy for broad‐spectrum, low‐dose intervention against human and animal IAVs, which can be adapted to combat other viruses by patterning corresponding host defense peptides on custom designed DNA nanostructures.

Advanced Functional Materials
University of Illinois Urbana-Champaign (US), Peking University (CN), Chang'an University (CN), Robotics Research (United States) (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 44%
Supramolecular Self-Assembly in Materials
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.