A Dual-Targeting, Multi-Faceted Biocompatible Nanodrug Optimizes the Microenvironment to Ameliorate Abdominal Aortic Aneurysm.
Fandi MoChufan WangShiyi LiZheyun LiCheng XiaoYuchong ZhangChengkai HuEnci WangPeng LinTong YuanZiang ZuoWeiguo FuXiaoyuan Shawn ChenLei RenLixin WangPublished in: Advanced materials (Deerfield Beach, Fla.) (2024)
Abdominal aortic aneurysm (AAA) is a highly lethal cardiovascular disease that currently lacks effective pharmacological treatment given the complex pathophysiology of the disease. Here, we analyzed single-cell RNA-sequencing data from patients with AAA and a mouse model, which revealed pivotal pathological changes, including the M1-like polarization of macrophages and the loss of contractile function in smooth muscle cells (SMCs). Both cell types express the integrin αvβ3, allowing for their dual targeting with a single rationally designed molecule. To this end, we designed a biocompatible nanodrug, which we term EVMS@R-HNC, that consists of the multifunctional drug everolimus (EVMS) encapsulated by the hepatitis B virus core protein modified to contain the RGD sequence to specifically bind to integrin αvβ3. Both in vitro and in vivo results showed that EVMS@R-HNC can target macrophages as well as SMCs. Upon binding of the nanodrug, the EVMS is released intracellularly where it exhibits multiple functions, including inhibiting M1 macrophage polarization, thereby suppressing the self-propagating inflammatory cascade and immune microenvironment imbalance, while preserving the normal contractile function of SMCs. Collectively, these results suggest that EVMS@R-HNC presents a highly promising therapeutic approach for the management of AAA. This article is protected by copyright. All rights reserved.
Keyphrases
- abdominal aortic aneurysm
- single cell
- hepatitis b virus
- rna seq
- cardiovascular disease
- cancer therapy
- mouse model
- high throughput
- stem cells
- skeletal muscle
- signaling pathway
- ionic liquid
- liver failure
- drug delivery
- type diabetes
- smooth muscle
- oxidative stress
- preterm infants
- cell migration
- cell therapy
- coronary artery disease
- metabolic syndrome
- big data
- artificial intelligence
- gestational age
- small molecule
- machine learning
- cardiovascular risk factors
- preterm birth
- bone marrow