Sep 2026· ACS Applied Materials and Interfaces· Vol 18, pp. 52127-52141· 0 citations· 54 references
Medicine
TL;DR
This work establishes spatial conformation as a programmable parameter for regulating nanoparticle biodistribution and clearance, thereby shifting the design paradigm from compositional adjustment to architectural control and opening avenues for targeted delivery, imaging, and immunotherapy.
Abstract
The rational design of nanomedicines is fundamentally constrained by a physicochemical paradox at the bio-nano interface: strategies to prolong circulation inevitably suppress clearance, often resulting in long-term accumulation and systemic toxicity. To address this, we propose spatial conformation engineering as an additional design dimension to decouple these opposing processes. Inspired by the compact, multilamellar architecture of the myelin sheath, we program poly(ethylene glycol) (PEG) chains into a three-dimensional matrix on a DNA tetrahedral framework. Unlike conventional linear or planar PEGylation, this 3D conformation yields a dense yet compact interfacial topology, enabling effective dynamic steric shielding (reducing protein adsorption by >60%) while maintaining a small hydrodynamic diameter (7.2 nm). This design strategy achieves a two-fold extension of blood circulation half-life while promoting a dominant renal elimination pathway (>90% clearance within 24 h). As a proof-of-concept, we functionalize the platform with a bile acid aptamer to construct a "patrolling" detoxification system capable of continuous sequestration and removal of blood-borne toxins in a murine hypercholanemia model. Our work establishes spatial conformation as a programmable parameter for regulating nanoparticle biodistribution and clearance, thereby shifting the design paradigm from compositional adjustment to architectural control. This architectural control opens avenues for targeted delivery, imaging, and immunotherapy.
DNA nanostructures are programmable, biocompatible platforms for biomedicine; however, their mechanical properties are coupled to sequence and structural dimensions, limiting control over stiffness. Here, we report a paradigm shift from static design to mechanical engineering of DNA nanostructures. Using a nanoemulsion...
Fan Yang, Min-Chao Liu, Qian-Qian Lu et al.· Angewandte Chemie· 0 citations
Delivering therapeutic macromolecules to defined cell populations in vivo remains a central unsolved problem in biomedicine. Proteins, nucleic acids and viral vectors are cleared by phagocytes, degraded by enzymes, blocked by endothelial and interstitial barriers, and trapped in acidifying endolysosomes. Pre-existing i...
Spherical nucleic acids (SNAs) enhance antisense oligonucleotide (ASO) uptake and nuclease resistance, but their activity is often constrained by inefficient intracellular trafficking. Here, we developed a zwitterionic brush-engineered molecular SNA (EmSNA) to improve ASO delivery. EmSNA was constructed by grafting pol...
Rui Xu, Xiu-Ying Sun, Li Yan et al.· Nano letters (Print)· 0 citations
This work describes a chemical approach to deliver multi-tailed DNA-surfactant conjugates into cells using nucleic acid nanocapsules (NANs) and shows that these multi-tailed DSCs improve DNAzyme-mediated gene silencing and enhance mRNA delivery in vitro, owing to their enhanced membrane disruption capabilities reflecte...
Joseph Gorecki, Ina F. de la Fuente, Patrick M. Corrigan et al.· ACS Applied Materials and In...· 0 citations
This study presents a rational, simulation-guided strategy to overcome the structural instability of ferritin nanocages upon conjugation with large biomoleculesa common challenge in protein-based bioconjugates. Molecular dynamics (MD) simulations were performed using epidermal growth factor (EGF) and enhanced green...
Deep and uniform drug penetration into solid tumors remains a critical challenge in nanomedicine, as conventional nanocarriers relying on the enhanced permeability and retention (EPR) effect are largely confined to perivascular regions. While cellular transcytosis offers a promising active transport route to overcome...
Zi-Hao Ye, Zhe-Hao Wang, Yu-Ji Sun et al.· Polymer Science & Techno...· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.