Deployable 3D-Printed Vascular Stent with Surface-Catalysed Endogenous Nitric Oxide Generation
Abstract
Atherosclerosis, a leading cause of heart attacks and strokes through the formation of vascular blockages, has become a major global healthcare challenge, with patient numbers expected to rise. Balloon-based angioplasty and stenting, the most common clinical treatments, have evolved over decades with advances in material biocompatibility, biodegradability, and device design. However, they still face critical issues such as tissue damage, inflammation, and restenosis, which can lead to implant failure and necessitate repeated surgeries, severely affecting patients' quality of life. To address the urgent need for a long-term stable stent system, we present a deployable 3D-printed vascular stent with surface-catalyzed endogenous nitric oxide (NO) generation (DSENO), offering a promising new direction for stent development. Unlike traditional stents, the DSENO can be deployed remotely using magnetic force and heat, eliminating the need for a catheter or balloon and thereby reducing the risk of tissue injury. Furthermore, its surface is modified to catalyze intracellular NO generation from endogenous S-nitrosothiols, which inhibits smooth muscle cell proliferation to prevent restenosis.
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.